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[Computer
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# FQA
Scalable Verification for Safety-Critical Deep Networks
Driver Assistance Systems and Vision-Based System Validates Driver Monitoring
The present invention relates to a system for providing advertisement contents
based on facial analysis. The system consists of an image acquisition device,
a face detection module, an analysis module, a classification module, a
database, a computation module, a matching module and a display device. The
image acquisition device acquires an image of a user, the face detection
module detects the face of the user in the image, the analysis module analyses
the facial features statistically using classification models, the database
stores matching rules, weighted advertisements and a plurality of
advertisement contents and the display device displays the advertisement
contents. The computation module computes the weighted image of the user and
the matching module matches the weighted image of the user with the weighted
advertisement to select an advertisement content based on facial analysis of
the user. The system aims to provide advertisement contents via a digital
standee by extracting salient demographic from a user to indirectly obtain
user information and behavioral preference.
The present invention relates to a system and method for providing
advertisement contents based on facial analysis using a digital standee. The
system (100) is embedded in the digital standee and comprises an image
acquisition device, a face detection module, a classification module, a data
analysis module, a computation module, a database and a matching module. The
image acquisition device is configured to acquire an image of a user, and the
face detection module uses deep learning technology to detect the user's face
in the image. The classification module classifies the user's facial features
into a plurality of classification models, such as gender, age range, emotion,
style and attention. The data analysis module obtains behavioral preference
and information of the user by analyzing the classified facial features. The
matching module matches the information with types of businesses to provide
suitable advertisement contents to the user based on rules set by the
advertisement provider. The advertisement contents are displayed on a display
device in the system.
This patent describes a system for providing advertisements based on facial
analysis. The system consists of an image acquisition device, a face detection
module, an analysis module, a computation module, a matching module, a
database, and a display device. The image acquisition device captures an image
of the user, the face detection module identifies the user's face and facial
features, the analysis module analyses the facial features using statistical
parameters and classification models, the computation module computes the
weighted image of the user, the matching module matches the weighted image of
the user with weighted advertisements, and the display device displays the
advertisement contents. The system operates in real-time and updates the
classification models continuously. The advertisement contents are based on
the user's age, gender, emotion, style, and attention and are provided by the
advertisement providers with matching rules.
The process described in this patent involves matching a user's weighted image
with a weighted advertisement based on matching rules established by the
advertisement providers. The matching rules may include order of features,
most similar features, important features, and nearest similar features. The
matching is done from left to right of the binary sequence. The selected
advertisement content is then displayed by the display device. The terms used
in the patent are defined as specified. The invention is open to changes in
form and details.
The system (100) is a device for providing advertisement contents based on
facial analysis. It consists of: an image acquisition device (10) to acquire
an image of a user, a face detection module (20) to detect the face and obtain
facial features, an analysis module (40) to analyze the facial features
statistically using classification models, a database (60) to store matching
rules and advertisements, and a display device (80) to display the selected
advertisement content. The system also has a computation module (50) to
compute a weighted image of the user based on the analyzed facial features,
and a matching module (70) to match the weighted image of the user with the
weighted advertisement to select the advertisement content. The system can
work for a single user or a group of users. The method (200) of providing
advertisement content follows similar steps as the system (100). The steps
include acquiring an image of the user, detecting the face, analyzing the
facial features, computing a weighted image of the user, obtaining matching
rules, and matching the weighted image with the weighted advertisement. The
method also includes steps of training the classification models and providing
display of the selected advertisement content.
This patent describes a system for providing advertisements based on facial
analysis using a digital standee. The system consists of an image acquisition
device, a face detection module, an analysis module, a computation module, a
matching module, a database, and a display device. The image acquisition
device captures an image of the user, the face detection module identifies the
user's face and facial features, the analysis module analyzes the facial
features using statistical parameters and classification models, the
computation module computes the weighted image of the user, the matching
module matches the weighted image of the user with weighted advertisements
based on matching rules set by the advertisement providers, and the display
device displays the advertisement contents. The system operates in real-time
and updates the classification models continuously. The advertisement contents
are based on the user's age, gender, emotion, style, and attention and are
provided by the advertisement providers with matching rules.
#
[Scalable Verification for Safety-Critical Deep
Networks](https://arxiv.org/pdf/1801.05950.pdf)
[https://arxiv.org/pdf/1801.05950.pdf](https://arxiv.org/pdf/1801.05950.pdf)
"Verifying that neural networks behave as intended may soon become a limiting
factor in their applicability to real-world, safetycritical systems such as
those used to control autonomous vehicles safety and reliability on DNNs.
verify properties of DNNs. A major challenge of verifying properties of DNNs
with satisfiability modulo theories (SMT) solvers is in handling the networks’
activation functions such as, Reluplex (domain-specific theory solvers;
through a lazy approach). 1)devising scalable verification techniques.
2)identifying design choices -> amenable to verification. "
Each neuron of a neural network computes a weighted sum of its inputs
according to learned weights. It then passes that sum through an activation
function to produce the neuron’s final output. Typically, the activation
functions introduce nonlinearity to the network, making DNNs capable of
learning arbitrarily complex functions, but also making the job of automated
verification tools much harder.
#
Driver Assistance Systems and Vision-Based System Validates Driver Monitoring
[Vision-based convolutional neural network system detects phone usage, eating,
and
drinking.](https://www.techbriefs.com/component/content/article/tb/supplements/pit/features/technology-
leaders/36144) cameras with active infrared lighting; 30 Hz and delivered
8-bit grayscale images at 1280 × 1024-pixel resolution; ResNeXt-34;
[video-based driver assistance systems, such as automated driving;
](https://www.bosch-mobility-solutions.com/en/products-and-services/passenger-
cars-and-light-commercial-vehicles/driver-assistance-systems/lane-departure-
warning/multi-purpose-camera/)resilient object detection and tracking; camera:
± 50°field of view (horizontal); +27°/ -21°field of view (vertical); > 150 m
detection range; 2.6 MP resolution.
multi path approach:
1. classifier: for pattern recognition; resilient object detection
2. dense optical flow and structure from motion; to detect static objects; 3D structure
3. deep learning: classify objects, road, edge road, orientation;
" Operation principle of the multi purpose camera: During assisted and
automated driving, the vehicle must know what is happening in its surroundings
at all times. It must reliably detect objects and people, and be able to react
to these appropriately. Here, the latest generation of the front video camera
from Bosch plays a crucial part: The multi purpose camera for assisted and
partially automated driving utilizes an innovative, high-performance system-
on-chip (SoC) with a Bosch microprocessor for image-processing algorithms. Its
unique multipath approach combines classic image-processing algorithms with
artificial-intelligence methods for comprehensive scene interpretation and
reliable object detection. With its algorithmic multipath approach and the
innovative system-on-chip, this camera generation has been specially developed
for high-performance driver assistance systems. In line with this approach,
the multi purpose camera uses for example the following technical paths at
once for image processing: The first of these is the conventional approach
already in use today. Via preprogrammed algorithms, the cameras recognize the
typical appearance of object categories such as vehicles, cyclists, or road
markings. The second and third paths are new, however. For the second path,
the camera uses the optical flow and the structure from motion (SfM) to
recognize raised objects along the roadside, such as curbs, central reserves,
or safety barriers. The motion of associated pixels is tracked. A three-
dimensional structure is then approximated based on the two-dimensional camera
image. The third path relies on artificial intelligence. Thanks to machine-
learning processes, the camera has learned to classify objects such as cars
parked by the side of the road. The latest generation can differentiate
between surfaces on the road and those alongside the road via neuronal
networks and semantic segmentation. Additional paths are used as required:
These include classic line scanning, light detection, and stereo disparity. "
[Link](https://www.bosch-mobility-solutions.com/en/products-and-
services/passenger-cars-and-light-commercial-vehicles/driver-assistance-
systems/lane-departure-warning/multi-purpose-camera/)
Face recognition/attributes
I use citation plugin
1. add path to the JabRef database "reading notes/dh.bib"
2. create folder "Reading notes"
3. use Ctrl+Shift+O to select reference
4. automatically create file based on that reference
5. Ctrl+Shift+E to insert link to citation page
6.
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* [knowledge_management](/book-summary/knowledge_management)
* [PKM](/book-summary/knowledge_management/pkm)
* [Topics and Projects](/topics-and-projects)
* [AI_Hub](/topics-and-projects/ai_hub)
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* [How to start](/topics-and-projects/how-to-start)
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* [python](/topics-and-projects/source-code/opencv/python)
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* [Apple](/topics-and-projects/apple)
* [startup](/topics-and-projects/startup)
* [Links](/links)
* [amazon](/links/amazon)
* [About](/about)
* [FQA](/about/fqa)
[Computer
Vision, Deep Learning, Artificial superintelligence (ASI)](/home)
# FQA
Scalable Verification for Safety-Critical Deep Networks
Driver Assistance Systems and Vision-Based System Validates Driver Monitoring
The present invention relates to a system for providing advertisement contents
based on facial analysis. The system consists of an image acquisition device,
a face detection module, an analysis module, a classification module, a
database, a computation module, a matching module and a display device. The
image acquisition device acquires an image of a user, the face detection
module detects the face of the user in the image, the analysis module analyses
the facial features statistically using classification models, the database
stores matching rules, weighted advertisements and a plurality of
advertisement contents and the display device displays the advertisement
contents. The computation module computes the weighted image of the user and
the matching module matches the weighted image of the user with the weighted
advertisement to select an advertisement content based on facial analysis of
the user. The system aims to provide advertisement contents via a digital
standee by extracting salient demographic from a user to indirectly obtain
user information and behavioral preference.
The present invention relates to a system and method for providing
advertisement contents based on facial analysis using a digital standee. The
system (100) is embedded in the digital standee and comprises an image
acquisition device, a face detection module, a classification module, a data
analysis module, a computation module, a database and a matching module. The
image acquisition device is configured to acquire an image of a user, and the
face detection module uses deep learning technology to detect the user's face
in the image. The classification module classifies the user's facial features
into a plurality of classification models, such as gender, age range, emotion,
style and attention. The data analysis module obtains behavioral preference
and information of the user by analyzing the classified facial features. The
matching module matches the information with types of businesses to provide
suitable advertisement contents to the user based on rules set by the
advertisement provider. The advertisement contents are displayed on a display
device in the system.
This patent describes a system for providing advertisements based on facial
analysis. The system consists of an image acquisition device, a face detection
module, an analysis module, a computation module, a matching module, a
database, and a display device. The image acquisition device captures an image
of the user, the face detection module identifies the user's face and facial
features, the analysis module analyses the facial features using statistical
parameters and classification models, the computation module computes the
weighted image of the user, the matching module matches the weighted image of
the user with weighted advertisements, and the display device displays the
advertisement contents. The system operates in real-time and updates the
classification models continuously. The advertisement contents are based on
the user's age, gender, emotion, style, and attention and are provided by the
advertisement providers with matching rules.
The process described in this patent involves matching a user's weighted image
with a weighted advertisement based on matching rules established by the
advertisement providers. The matching rules may include order of features,
most similar features, important features, and nearest similar features. The
matching is done from left to right of the binary sequence. The selected
advertisement content is then displayed by the display device. The terms used
in the patent are defined as specified. The invention is open to changes in
form and details.
The system (100) is a device for providing advertisement contents based on
facial analysis. It consists of: an image acquisition device (10) to acquire
an image of a user, a face detection module (20) to detect the face and obtain
facial features, an analysis module (40) to analyze the facial features
statistically using classification models, a database (60) to store matching
rules and advertisements, and a display device (80) to display the selected
advertisement content. The system also has a computation module (50) to
compute a weighted image of the user based on the analyzed facial features,
and a matching module (70) to match the weighted image of the user with the
weighted advertisement to select the advertisement content. The system can
work for a single user or a group of users. The method (200) of providing
advertisement content follows similar steps as the system (100). The steps
include acquiring an image of the user, detecting the face, analyzing the
facial features, computing a weighted image of the user, obtaining matching
rules, and matching the weighted image with the weighted advertisement. The
method also includes steps of training the classification models and providing
display of the selected advertisement content.
This patent describes a system for providing advertisements based on facial
analysis using a digital standee. The system consists of an image acquisition
device, a face detection module, an analysis module, a computation module, a
matching module, a database, and a display device. The image acquisition
device captures an image of the user, the face detection module identifies the
user's face and facial features, the analysis module analyzes the facial
features using statistical parameters and classification models, the
computation module computes the weighted image of the user, the matching
module matches the weighted image of the user with weighted advertisements
based on matching rules set by the advertisement providers, and the display
device displays the advertisement contents. The system operates in real-time
and updates the classification models continuously. The advertisement contents
are based on the user's age, gender, emotion, style, and attention and are
provided by the advertisement providers with matching rules.
#
[Scalable Verification for Safety-Critical Deep
Networks](https://arxiv.org/pdf/1801.05950.pdf)
[https://arxiv.org/pdf/1801.05950.pdf](https://arxiv.org/pdf/1801.05950.pdf)
"Verifying that neural networks behave as intended may soon become a limiting
factor in their applicability to real-world, safetycritical systems such as
those used to control autonomous vehicles safety and reliability on DNNs.
verify properties of DNNs. A major challenge of verifying properties of DNNs
with satisfiability modulo theories (SMT) solvers is in handling the networks’
activation functions such as, Reluplex (domain-specific theory solvers;
through a lazy approach). 1)devising scalable verification techniques.
2)identifying design choices -> amenable to verification. "
Each neuron of a neural network computes a weighted sum of its inputs
according to learned weights. It then passes that sum through an activation
function to produce the neuron’s final output. Typically, the activation
functions introduce nonlinearity to the network, making DNNs capable of
learning arbitrarily complex functions, but also making the job of automated
verification tools much harder.
#
Driver Assistance Systems and Vision-Based System Validates Driver Monitoring
[Vision-based convolutional neural network system detects phone usage, eating,
and
drinking.](https://www.techbriefs.com/component/content/article/tb/supplements/pit/features/technology-
leaders/36144) cameras with active infrared lighting; 30 Hz and delivered
8-bit grayscale images at 1280 × 1024-pixel resolution; ResNeXt-34;
[video-based driver assistance systems, such as automated driving;
](https://www.bosch-mobility-solutions.com/en/products-and-services/passenger-
cars-and-light-commercial-vehicles/driver-assistance-systems/lane-departure-
warning/multi-purpose-camera/)resilient object detection and tracking; camera:
± 50°field of view (horizontal); +27°/ -21°field of view (vertical); > 150 m
detection range; 2.6 MP resolution.
multi path approach:
1. classifier: for pattern recognition; resilient object detection
2. dense optical flow and structure from motion; to detect static objects; 3D structure
3. deep learning: classify objects, road, edge road, orientation;
" Operation principle of the multi purpose camera: During assisted and
automated driving, the vehicle must know what is happening in its surroundings
at all times. It must reliably detect objects and people, and be able to react
to these appropriately. Here, the latest generation of the front video camera
from Bosch plays a crucial part: The multi purpose camera for assisted and
partially automated driving utilizes an innovative, high-performance system-
on-chip (SoC) with a Bosch microprocessor for image-processing algorithms. Its
unique multipath approach combines classic image-processing algorithms with
artificial-intelligence methods for comprehensive scene interpretation and
reliable object detection. With its algorithmic multipath approach and the
innovative system-on-chip, this camera generation has been specially developed
for high-performance driver assistance systems. In line with this approach,
the multi purpose camera uses for example the following technical paths at
once for image processing: The first of these is the conventional approach
already in use today. Via preprogrammed algorithms, the cameras recognize the
typical appearance of object categories such as vehicles, cyclists, or road
markings. The second and third paths are new, however. For the second path,
the camera uses the optical flow and the structure from motion (SfM) to
recognize raised objects along the roadside, such as curbs, central reserves,
or safety barriers. The motion of associated pixels is tracked. A three-
dimensional structure is then approximated based on the two-dimensional camera
image. The third path relies on artificial intelligence. Thanks to machine-
learning processes, the camera has learned to classify objects such as cars
parked by the side of the road. The latest generation can differentiate
between surfaces on the road and those alongside the road via neuronal
networks and semantic segmentation. Additional paths are used as required:
These include classic line scanning, light detection, and stereo disparity. "
[Link](https://www.bosch-mobility-solutions.com/en/products-and-
services/passenger-cars-and-light-commercial-vehicles/driver-assistance-
systems/lane-departure-warning/multi-purpose-camera/)
Face recognition/attributes
I use citation plugin
1. add path to the JabRef database "reading notes/dh.bib"
2. create folder "Reading notes"
3. use Ctrl+Shift+O to select reference
4. automatically create file based on that reference
5. Ctrl+Shift+E to insert link to citation page
6.
Report abuse
Page details
Page updated
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Report abuse
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traffic. Information about your use of this site is shared with Google. By
using this site, you agree to its use of cookies.
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[Computer Vision, Deep Learning, Artificial
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# FQA
Scalable Verification for Safety-Critical Deep Networks
Driver Assistance Systems and Vision-Based System Validates Driver Monitoring
The present invention relates to a system for providing advertisement contents
based on facial analysis. The system consists of an image acquisition device,
a face detection module, an analysis module, a classification module, a
database, a computation module, a matching module and a display device. The
image acquisition device acquires an image of a user, the face detection
module detects the face of the user in the image, the analysis module analyses
the facial features statistically using classification models, the database
stores matching rules, weighted advertisements and a plurality of
advertisement contents and the display device displays the advertisement
contents. The computation module computes the weighted image of the user and
the matching module matches the weighted image of the user with the weighted
advertisement to select an advertisement content based on facial analysis of
the user. The system aims to provide advertisement contents via a digital
standee by extracting salient demographic from a user to indirectly obtain
user information and behavioral preference.
The present invention relates to a system and method for providing
advertisement contents based on facial analysis using a digital standee. The
system (100) is embedded in the digital standee and comprises an image
acquisition device, a face detection module, a classification module, a data
analysis module, a computation module, a database and a matching module. The
image acquisition device is configured to acquire an image of a user, and the
face detection module uses deep learning technology to detect the user's face
in the image. The classification module classifies the user's facial features
into a plurality of classification models, such as gender, age range, emotion,
style and attention. The data analysis module obtains behavioral preference
and information of the user by analyzing the classified facial features. The
matching module matches the information with types of businesses to provide
suitable advertisement contents to the user based on rules set by the
advertisement provider. The advertisement contents are displayed on a display
device in the system.
This patent describes a system for providing advertisements based on facial
analysis. The system consists of an image acquisition device, a face detection
module, an analysis module, a computation module, a matching module, a
database, and a display device. The image acquisition device captures an image
of the user, the face detection module identifies the user's face and facial
features, the analysis module analyses the facial features using statistical
parameters and classification models, the computation module computes the
weighted image of the user, the matching module matches the weighted image of
the user with weighted advertisements, and the display device displays the
advertisement contents. The system operates in real-time and updates the
classification models continuously. The advertisement contents are based on
the user's age, gender, emotion, style, and attention and are provided by the
advertisement providers with matching rules.
The process described in this patent involves matching a user's weighted image
with a weighted advertisement based on matching rules established by the
advertisement providers. The matching rules may include order of features,
most similar features, important features, and nearest similar features. The
matching is done from left to right of the binary sequence. The selected
advertisement content is then displayed by the display device. The terms used
in the patent are defined as specified. The invention is open to changes in
form and details.
The system (100) is a device for providing advertisement contents based on
facial analysis. It consists of: an image acquisition device (10) to acquire
an image of a user, a face detection module (20) to detect the face and obtain
facial features, an analysis module (40) to analyze the facial features
statistically using classification models, a database (60) to store matching
rules and advertisements, and a display device (80) to display the selected
advertisement content. The system also has a computation module (50) to
compute a weighted image of the user based on the analyzed facial features,
and a matching module (70) to match the weighted image of the user with the
weighted advertisement to select the advertisement content. The system can
work for a single user or a group of users. The method (200) of providing
advertisement content follows similar steps as the system (100). The steps
include acquiring an image of the user, detecting the face, analyzing the
facial features, computing a weighted image of the user, obtaining matching
rules, and matching the weighted image with the weighted advertisement. The
method also includes steps of training the classification models and providing
display of the selected advertisement content.
This patent describes a system for providing advertisements based on facial
analysis using a digital standee. The system consists of an image acquisition
device, a face detection module, an analysis module, a computation module, a
matching module, a database, and a display device. The image acquisition
device captures an image of the user, the face detection module identifies the
user's face and facial features, the analysis module analyzes the facial
features using statistical parameters and classification models, the
computation module computes the weighted image of the user, the matching
module matches the weighted image of the user with weighted advertisements
based on matching rules set by the advertisement providers, and the display
device displays the advertisement contents. The system operates in real-time
and updates the classification models continuously. The advertisement contents
are based on the user's age, gender, emotion, style, and attention and are
provided by the advertisement providers with matching rules.
#
[Scalable Verification for Safety-Critical Deep
Networks](https://arxiv.org/pdf/1801.05950.pdf)
[https://arxiv.org/pdf/1801.05950.pdf](https://arxiv.org/pdf/1801.05950.pdf)
"Verifying that neural networks behave as intended may soon become a limiting
factor in their applicability to real-world, safetycritical systems such as
those used to control autonomous vehicles safety and reliability on DNNs.
verify properties of DNNs. A major challenge of verifying properties of DNNs
with satisfiability modulo theories (SMT) solvers is in handling the networks’
activation functions such as, Reluplex (domain-specific theory solvers;
through a lazy approach). 1)devising scalable verification techniques.
2)identifying design choices -> amenable to verification. "
Each neuron of a neural network computes a weighted sum of its inputs
according to learned weights. It then passes that sum through an activation
function to produce the neuron’s final output. Typically, the activation
functions introduce nonlinearity to the network, making DNNs capable of
learning arbitrarily complex functions, but also making the job of automated
verification tools much harder.
#
Driver Assistance Systems and Vision-Based System Validates Driver Monitoring
[Vision-based convolutional neural network system detects phone usage, eating,
and
drinking.](https://www.techbriefs.com/component/content/article/tb/supplements/pit/features/technology-
leaders/36144) cameras with active infrared lighting; 30 Hz and delivered
8-bit grayscale images at 1280 × 1024-pixel resolution; ResNeXt-34;
[video-based driver assistance systems, such as automated driving;
](https://www.bosch-mobility-solutions.com/en/products-and-services/passenger-
cars-and-light-commercial-vehicles/driver-assistance-systems/lane-departure-
warning/multi-purpose-camera/)resilient object detection and tracking; camera:
± 50°field of view (horizontal); +27°/ -21°field of view (vertical); > 150 m
detection range; 2.6 MP resolution.
multi path approach:
1. classifier: for pattern recognition; resilient object detection
2. dense optical flow and structure from motion; to detect static objects; 3D structure
3. deep learning: classify objects, road, edge road, orientation;
" Operation principle of the multi purpose camera: During assisted and
automated driving, the vehicle must know what is happening in its surroundings
at all times. It must reliably detect objects and people, and be able to react
to these appropriately. Here, the latest generation of the front video camera
from Bosch plays a crucial part: The multi purpose camera for assisted and
partially automated driving utilizes an innovative, high-performance system-
on-chip (SoC) with a Bosch microprocessor for image-processing algorithms. Its
unique multipath approach combines classic image-processing algorithms with
artificial-intelligence methods for comprehensive scene interpretation and
reliable object detection. With its algorithmic multipath approach and the
innovative system-on-chip, this camera generation has been specially developed
for high-performance driver assistance systems. In line with this approach,
the multi purpose camera uses for example the following technical paths at
once for image processing: The first of these is the conventional approach
already in use today. Via preprogrammed algorithms, the cameras recognize the
typical appearance of object categories such as vehicles, cyclists, or road
markings. The second and third paths are new, however. For the second path,
the camera uses the optical flow and the structure from motion (SfM) to
recognize raised objects along the roadside, such as curbs, central reserves,
or safety barriers. The motion of associated pixels is tracked. A three-
dimensional structure is then approximated based on the two-dimensional camera
image. The third path relies on artificial intelligence. Thanks to machine-
learning processes, the camera has learned to classify objects such as cars
parked by the side of the road. The latest generation can differentiate
between surfaces on the road and those alongside the road via neuronal
networks and semantic segmentation. Additional paths are used as required:
These include classic line scanning, light detection, and stereo disparity. "
[Link](https://www.bosch-mobility-solutions.com/en/products-and-
services/passenger-cars-and-light-commercial-vehicles/driver-assistance-
systems/lane-departure-warning/multi-purpose-camera/)
Face recognition/attributes
I use citation plugin
1. add path to the JabRef database "reading notes/dh.bib"
2. create folder "Reading notes"
3. use Ctrl+Shift+O to select reference
4. automatically create file based on that reference
5. Ctrl+Shift+E to insert link to citation page
6.
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[#raspberrypi](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Draspberrypi%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6787871627586625536&sa=D&sntz=1&usg=AOvVaw05lTlcUMZAvgLJvCrdYOT0)
[#intelstick](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Dintelstick%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6787871627586625536&sa=D&sntz=1&usg=AOvVaw3nSDy4bef8ItMQDBY1AHc2)
[#googlecoral](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Dgooglecoral%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6787871627586625536&sa=D&sntz=1&usg=AOvVaw2flvDoGrRtzJ6AVKvsqwsF)
[#jetsonnano](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Djetsonnano%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6787871627586625536&sa=D&sntz=1&usg=AOvVaw3FBZ8F6yWzRF85Qc1isy2O)
[#nvidiavgpu](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Dnvidiavgpu%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6787871627586625536&sa=D&sntz=1&usg=AOvVaw1X0Zxn25NXWOT0YlLcUlPP)
[#tensorflowjs](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Dtensorflowjs%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6787871627586625536&sa=D&sntz=1&usg=AOvVaw2K-Wq_3mt-X1pq4mJWurnU)
[#pytorch](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Dpytorch%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6787871627586625536&sa=D&sntz=1&usg=AOvVaw0MKjo_xUTSXMHwpeG5pU9I)
[#opencv](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Dopencv%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6787871627586625536&sa=D&sntz=1&usg=AOvVaw2WzPIfJb8SPE6hE0LcvqKp)
[#aikit](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Daikit%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6787871627586625536&sa=D&sntz=1&usg=AOvVaw3rsc3lNPLGvTgNgYKccJQu)
[#caffee](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Dcaffee%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6787871627586625536&sa=D&sntz=1&usg=AOvVaw0VhKNPDM34JSJZe4QtqcXc)
[#DIGITS](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Ddigits%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6787871627586625536&sa=D&sntz=1&usg=AOvVaw0UivwkkpqApDtx2okylxxR)
[#c](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Dc%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6787871627586625536&sa=D&sntz=1&usg=AOvVaw0jrMZfs5pBJdwrTFWjNWJ8)++
[#python](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Dpython%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6787871627586625536&sa=D&sntz=1&usg=AOvVaw0-vYAEwDIVuEH-
Fq-OrgIb)
[#ubuntu](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Dubuntu%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6787871627586625536&sa=D&sntz=1&usg=AOvVaw1R_p-
FRFOxdmZ9CYFTmYzL)
[#farshidpirahansiah](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Dfarshidpirahansiah%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6787871627586625536&sa=D&sntz=1&usg=AOvVaw1qvC98TN9G7Di_rOxuWWk7)
[#pirahansiah](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Dpirahansiah%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6787871627586625536&sa=D&sntz=1&usg=AOvVaw0R-BbyLh11PJ2jVzgdk7zn).com
[#farshid](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Dfarshid%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6787871627586625536&sa=D&sntz=1&usg=AOvVaw2hrd3c0cgU-0ePNJwPxscm)
[#pirahansiah](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Dpirahansiah%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6787871627586625536&sa=D&sntz=1&usg=AOvVaw0AbYCv97yWC3MZG0QBI3L-)
[#robotics](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Drobotics%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6787871627586625536&sa=D&sntz=1&usg=AOvVaw0c-v7d0S979BakkNasVEmb)
#pirahansiah.com #farshid #pirahansiah
[#MultiCameraMultiClassMultiObjectTracking](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Dmulticameramulticlassmultiobjecttracking%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6787871627586625536&sa=D&sntz=1&usg=AOvVaw0xHni8xf5NFjd9IvccxvdN)
[#deeplearning](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Ddeeplearning%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6787871627586625536&sa=D&sntz=1&usg=AOvVaw0_4BL9ENEZAPN9I_ZyTHfw)
[#machinelearning](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Dmachinelearning%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6787871627586625536&sa=D&sntz=1&usg=AOvVaw0GJQE0pYJLn1KpAlBULTve)
[#artificialintelligence](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Dartificialintelligence%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6787871627586625536&sa=D&sntz=1&usg=AOvVaw0kghSLOS6QnRK1JyVmLYgX)
[#tensorflow](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Dtensorflow%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6787871627586625536&sa=D&sntz=1&usg=AOvVaw1esVtdflQf4ZZx0624h1N9)
[#robotics](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Drobotics%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6787871627586625536&sa=D&sntz=1&usg=AOvVaw0c-v7d0S979BakkNasVEmb)
[#3dvision](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3D3dvision%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6787871627586625536&sa=D&sntz=1&usg=AOvVaw2ZJO6ohCZ1NgSqX0wvFNlX)
[#sterovision](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Dsterovision%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6787871627586625536&sa=D&sntz=1&usg=AOvVaw0AmcHHfNGY_zeMJbmBcbur)
[#depthmap](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Ddepthmap%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6787871627586625536&sa=D&sntz=1&usg=AOvVaw3wM
--ayMcpa0-XdKt_RPO8)
[#RCNN](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Drcnn%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6787871627586625536&sa=D&sntz=1&usg=AOvVaw2m0g4VZrmYsjPcW7wB_ZTR)
[#machinevision](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Dmachinevision%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6787871627586625536&sa=D&sntz=1&usg=AOvVaw2liIXvJ6DKQRJXtztRKEG3)
[#imageprocessing](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Dimageprocessing%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6787871627586625536&sa=D&sntz=1&usg=AOvVaw1L71Lp1-CV50XPHcixp9hE)
[#patternrecognition](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Dpatternrecognition%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6787871627586625536&sa=D&sntz=1&usg=AOvVaw1WoEPUJMhUpSCRh9Ta4Mta)
[#compiler](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Dcompiler%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6787871627586625536&sa=D&sntz=1&usg=AOvVaw12szcaIf6dpkJAjPYM7V-e)
[#RISC](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Drisc%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6787871627586625536&sa=D&sntz=1&usg=AOvVaw3YM_foJf7Hf3jZFwteLIfj)-V
[#RNN](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Drnn%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6787871627586625536&sa=D&sntz=1&usg=AOvVaw3bCj47R1qTzd4MNk-1exEF)
[#fullStackDeepLearning](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Dfullstackdeeplearning%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6787871627586625536&sa=D&sntz=1&usg=AOvVaw23eDRV9AhY4o007CEKu2X9)
[#productinnovation](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Dproductinnovation%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6787871627586625536&sa=D&sntz=1&usg=AOvVaw2AsIcbuD5dqUJA28qtDgSe)
[#patents](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Dpatents%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6787871627586625536&sa=D&sntz=1&usg=AOvVaw3kv-k5ws7NEzqF9ML5lbHd)
[#TensorRT](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Dtensorrt%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6787871627586625536&sa=D&sntz=1&usg=AOvVaw34rToqV4FEI6a8qUEvgY_i)
[#ApacheTVM](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Dapachetvm%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6787871627586625536&sa=D&sntz=1&usg=AOvVaw231JTCeb5OyZgt6ck89BnA)
[#TFLite](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Dtflite%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6787871627586625536&sa=D&sntz=1&usg=AOvVaw2iX_x5Fj5RXQNur3YCdCmx)
[#PyTorchmobile](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Dpytorchmobile%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6787871627586625536&sa=D&sntz=1&usg=AOvVaw37QEC00u5OJDhhHOXqXpfa)
[#dockers](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Ddockers%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6787871627586625536&sa=D&sntz=1&usg=AOvVaw2f-TuKUh24azBqsvKlVBmI)
[#gRPC](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Dgrpc%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6787871627586625536&sa=D&sntz=1&usg=AOvVaw11hYAjKgAPw1MTu7ihz9De)
[#RESTAPIs](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Drestapis%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6787871627586625536&sa=D&sntz=1&usg=AOvVaw3DKEVm0FUJzdhKMLl6QoTd)
[#GRPC](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Dgrpc%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6787871627586625536&sa=D&sntz=1&usg=AOvVaw11hYAjKgAPw1MTu7ihz9De)
[#GraphQL](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Dgraphql%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6787871627586625536&sa=D&sntz=1&usg=AOvVaw30
--htOGW4sG7y2BjM2He5) #imageprocessing #patternrecognition
**#** **Enabling** **E** **fficient #high-performance** **#** **Accelerators**
**#** **Optimization**
****[#computervision](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Dcomputervision%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6787871627586625536&sa=D&sntz=1&usg=AOvVaw0cCdJ3Vmk5N1l3cp6O_su8)
[#AI](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Dai%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6787871627586625536&sa=D&sntz=1&usg=AOvVaw2dPEMgAJEghAGxPRWF43xJ)
[#objectdetection](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Dobjectdetection%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6787871627586625536&sa=D&sntz=1&usg=AOvVaw3iPjh0s9Xx0kiUns1ngiIB)
[#objecttracking](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Dobjecttracking%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6787871627586625536&sa=D&sntz=1&usg=AOvVaw0c5NH2HyRE4LM81xtfyMGC)
[#ml](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Dml%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6787871627586625536&sa=D&sntz=1&usg=AOvVaw1_WgU3yRidQpKEvm5A-z8l)
[#research](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Dresearch%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6787871627586625536&sa=D&sntz=1&usg=AOvVaw1vKlf5iOpwLhK-0F4foQ3e)
[#CNN](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Dcnn%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6787871627586625536&sa=D&sntz=1&usg=AOvVaw19QWtSDWm3hhBhz3-AChAa)
[#gans](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Dgans%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6787871627586625536&sa=D&sntz=1&usg=AOvVaw1lk1ECXOJN-
mXDWUOJNSyq)
[#convolutionalneuralnetworks](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Dconvolutionalneuralnetworks%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6787871627586625536&sa=D&sntz=1&usg=AOvVaw0c8noF_OiCn-
zFjustxEUJ)
[#ai](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Dai%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6787871627586625536&sa=D&sntz=1&usg=AOvVaw2dPEMgAJEghAGxPRWF43xJ)
[#vr](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Dvr%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6787871627586625536&sa=D&sntz=1&usg=AOvVaw2emO4DfNb-
fRcZrRa5KMFg)
[#reinforcementlearning](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Dreinforcementlearning%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6787871627586625536&sa=D&sntz=1&usg=AOvVaw0P0YF-D2TdSHbkavX52nx2)
[#mlops](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Dmlops%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6787871627586625536&sa=D&sntz=1&usg=AOvVaw3dvE9cPCHjH0CkdyuCTIA8)
[#aiforbusiness](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Daiforbusiness%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6787871627586625536&sa=D&sntz=1&usg=AOvVaw16X1M4iwrzdjYdU_ulFK3T)
[#science](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Dscience%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6787871627586625536&sa=D&sntz=1&usg=AOvVaw1vmLH__ugmE11ZB7WjmLmx)
[#researcher](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Dresearcher%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6787871627586625536&sa=D&sntz=1&usg=AOvVaw3pIEq9N1emXExu0-191RiG)
[#phd](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Dphd%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6787871627586625536&sa=D&sntz=1&usg=AOvVaw2OcifGSB6XNuqH2gKzK6YY)
[#cameracalibration](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Dcameracalibration%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6787871627586625536&sa=D&sntz=1&usg=AOvVaw2RlWcAsgtAUNVg6OBGbkKd)
[#opticalflow](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Dopticalflow%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6787871627586625536&sa=D&sntz=1&usg=AOvVaw18QjZi7x9SLhVukcmZAVgD)
[#videostablization](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Dvideostablization%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6787871627586625536&sa=D&sntz=1&usg=AOvVaw3WSAJkfYr1vIjbcnfpodFl)
[#humanoidrobot](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Dhumanoidrobot%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6787871627586625536&sa=D&sntz=1&usg=AOvVaw2xFO1kRd2oXLQJq10M-_XJ)
[#localization](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Dlocalization%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6787871627586625536&sa=D&sntz=1&usg=AOvVaw0MIyR__Y8eRDB3dZTecf2Z)
[#3dSLAM](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3D3dslam%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6787871627586625536&sa=D&sntz=1&usg=AOvVaw2UY6pRlrLvoOiDP8URxRz5)
[#reconstruction](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Dreconstruction%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6787871627586625536&sa=D&sntz=1&usg=AOvVaw0N_h3Cd2AY7DVCXLQUSZ_r)
[#pointcloud](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Dpointcloud%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6787871627586625536&sa=D&sntz=1&usg=AOvVaw0S3yinkSJeDwnOoX27HKOr)
[#AR](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Dar%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6787871627586625536&sa=D&sntz=1&usg=AOvVaw0gk-
Nuu4ZaAxv_LKdSgLEA)/VR
[#mixedreality](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Dmixedreality%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6787871627586625536&sa=D&sntz=1&usg=AOvVaw3BC3QpLp-w3P2WCrusaB02)
[#edgecomputing](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Dedgecomputing%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6787871627586625536&sa=D&sntz=1&usg=AOvVaw2do7CB7fc5a8IDPUINj916)
[#raspberrypi](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Draspberrypi%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6787871627586625536&sa=D&sntz=1&usg=AOvVaw05lTlcUMZAvgLJvCrdYOT0)
[#intelstick](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Dintelstick%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6787871627586625536&sa=D&sntz=1&usg=AOvVaw3nSDy4bef8ItMQDBY1AHc2)
[#googlecoral](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Dgooglecoral%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6787871627586625536&sa=D&sntz=1&usg=AOvVaw2flvDoGrRtzJ6AVKvsqwsF)
[#jetsonnano](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Djetsonnano%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6787871627586625536&sa=D&sntz=1&usg=AOvVaw3FBZ8F6yWzRF85Qc1isy2O)
[#nvidiavgpu](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Dnvidiavgpu%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6787871627586625536&sa=D&sntz=1&usg=AOvVaw1X0Zxn25NXWOT0YlLcUlPP)
[#tensorflowjs](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Dtensorflowjs%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6787871627586625536&sa=D&sntz=1&usg=AOvVaw2K-Wq_3mt-X1pq4mJWurnU)
[#pytorch](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Dpytorch%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6787871627586625536&sa=D&sntz=1&usg=AOvVaw0MKjo_xUTSXMHwpeG5pU9I)
[#opencv](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Dopencv%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6787871627586625536&sa=D&sntz=1&usg=AOvVaw2WzPIfJb8SPE6hE0LcvqKp)
[#aikit](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Daikit%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6787871627586625536&sa=D&sntz=1&usg=AOvVaw3rsc3lNPLGvTgNgYKccJQu)
[#caffee](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Dcaffee%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6787871627586625536&sa=D&sntz=1&usg=AOvVaw0VhKNPDM34JSJZe4QtqcXc)
[#DIGITS](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Ddigits%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6787871627586625536&sa=D&sntz=1&usg=AOvVaw0UivwkkpqApDtx2okylxxR)
[#c](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Dc%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6787871627586625536&sa=D&sntz=1&usg=AOvVaw0jrMZfs5pBJdwrTFWjNWJ8)++
[#python](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Dpython%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6787871627586625536&sa=D&sntz=1&usg=AOvVaw0-vYAEwDIVuEH-
Fq-OrgIb)
[#ubuntu](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Dubuntu%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6787871627586625536&sa=D&sntz=1&usg=AOvVaw1R_p-
FRFOxdmZ9CYFTmYzL)
[#farshidpirahansiah](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Dfarshidpirahansiah%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6787871627586625536&sa=D&sntz=1&usg=AOvVaw1qvC98TN9G7Di_rOxuWWk7)
[#pirahansiah](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Dpirahansiah%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6787871627586625536&sa=D&sntz=1&usg=AOvVaw0R-BbyLh11PJ2jVzgdk7zn).com
[#farshid](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Dfarshid%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6787871627586625536&sa=D&sntz=1&usg=AOvVaw2hrd3c0cgU-0ePNJwPxscm)
[#pirahansiah](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Dpirahansiah%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6787871627586625536&sa=D&sntz=1&usg=AOvVaw0AbYCv97yWC3MZG0QBI3L-)
[#robotics](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Drobotics%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6787871627586625536&sa=D&sntz=1&usg=AOvVaw0c-v7d0S979BakkNasVEmb)
[#SingleObjecttracking](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Dsingleobjecttracking%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6787871627586625536&sa=D&sntz=1&usg=AOvVaw2knhqyR7nh7fpmxnxl1Jn5)
[#SOT](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Dsot%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6787871627586625536&sa=D&sntz=1&usg=AOvVaw062tuLWdObgGpo5g34V8Fu)
[#MultiObjecttracking](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Dmultiobjecttracking%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6787871627586625536&sa=D&sntz=1&usg=AOvVaw1rSOO9ndnf3jWPm8DD__Ka)
[#MOT](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Dmot%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6787871627586625536&sa=D&sntz=1&usg=AOvVaw18W7sxGpQ22ZsiFiqhT6TX)
[#MultiTargetTracking](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Dmultitargettracking%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6787871627586625536&sa=D&sntz=1&usg=AOvVaw1s-kLp6KVMz85P_VRU1Yhd)
[#MTT](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Dmtt%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6787871627586625536&sa=D&sntz=1&usg=AOvVaw3Q4HD1CShuvIZAZD-
myjaA)
[#MultiClassMultiObjecttracking](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Dmulticlassmultiobjecttracking%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6787871627586625536&sa=D&sntz=1&usg=AOvVaw2RY9vHf7Vmdj3N0-NVi2LR)
[#MCMOT](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Dmcmot%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6787871627586625536&sa=D&sntz=1&usg=AOvVaw2ZpgAV4w3SDkDd1VciqFE3)
[#MultiCameraMultiClassMultiObjectTracking](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Dmulticameramulticlassmultiobjecttracking%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6787871627586625536&sa=D&sntz=1&usg=AOvVaw0xHni8xf5NFjd9IvccxvdN)
[#MCMCMOT](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Dmcmcmot%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6787871627586625536&sa=D&sntz=1&usg=AOvVaw38UBYhA-
jT868guoRcn8_Z)
[#deeplearning](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Ddeeplearning%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6787871627586625536&sa=D&sntz=1&usg=AOvVaw0_4BL9ENEZAPN9I_ZyTHfw)
[#machinelearning](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Dmachinelearning%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6787871627586625536&sa=D&sntz=1&usg=AOvVaw0GJQE0pYJLn1KpAlBULTve)
[#artificialintelligence](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Dartificialintelligence%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6787871627586625536&sa=D&sntz=1&usg=AOvVaw0kghSLOS6QnRK1JyVmLYgX)
[#computervision](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Dcomputervision%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6787871627586625536&sa=D&sntz=1&usg=AOvVaw0cCdJ3Vmk5N1l3cp6O_su8)
[#video](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Dvideo%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6787871627586625536&sa=D&sntz=1&usg=AOvVaw3Y3ZMpartNxjyWNhDcBB4Z)
[#objectdetection](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Dobjectdetection%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6787871627586625536&sa=D&sntz=1&usg=AOvVaw3iPjh0s9Xx0kiUns1ngiIB)
[#objecttracking](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Dobjecttracking%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6787871627586625536&sa=D&sntz=1&usg=AOvVaw0c5NH2HyRE4LM81xtfyMGC)
[#tensorflow](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Dtensorflow%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6787871627586625536&sa=D&sntz=1&usg=AOvVaw1esVtdflQf4ZZx0624h1N9)
[#innovation](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Dinnovation%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6787871627586625536&sa=D&sntz=1&usg=AOvVaw29IajN9Pzy7GGtovK_Kquk)
[#learning](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Dlearning%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6787871627586625536&sa=D&sntz=1&usg=AOvVaw1ZASSoW21pBmLxbEz02Yxl)
[#datascience](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Ddatascience%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6787871627586625536&sa=D&sntz=1&usg=AOvVaw0gQ790KskULL4oxc30aNTx)
[#robotics](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Drobotics%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6787871627586625536&sa=D&sntz=1&usg=AOvVaw0c-v7d0S979BakkNasVEmb)
[#3dvision](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3D3dvision%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6787871627586625536&sa=D&sntz=1&usg=AOvVaw2ZJO6ohCZ1NgSqX0wvFNlX)
[#sterovision](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Dsterovision%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6787871627586625536&sa=D&sntz=1&usg=AOvVaw0AmcHHfNGY_zeMJbmBcbur)
[#depthmap](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Ddepthmap%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6787871627586625536&sa=D&sntz=1&usg=AOvVaw3wM
--ayMcpa0-XdKt_RPO8)
[#RCNN](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Drcnn%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6787871627586625536&sa=D&sntz=1&usg=AOvVaw2m0g4VZrmYsjPcW7wB_ZTR)
[#machinevision](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Dmachinevision%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6787871627586625536&sa=D&sntz=1&usg=AOvVaw2liIXvJ6DKQRJXtztRKEG3)
[#imageprocessing](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Dimageprocessing%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6787871627586625536&sa=D&sntz=1&usg=AOvVaw1L71Lp1-CV50XPHcixp9hE)
[#patternrecognition](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Dpatternrecognition%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6787871627586625536&sa=D&sntz=1&usg=AOvVaw1WoEPUJMhUpSCRh9Ta4Mta)
[#compiler](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Dcompiler%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6787871627586625536&sa=D&sntz=1&usg=AOvVaw12szcaIf6dpkJAjPYM7V-e)
[#RISC](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Drisc%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6787871627586625536&sa=D&sntz=1&usg=AOvVaw3YM_foJf7Hf3jZFwteLIfj)-V
[#RNN](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Drnn%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6787871627586625536&sa=D&sntz=1&usg=AOvVaw3bCj47R1qTzd4MNk-1exEF)
[#fullStackDeepLearning](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Dfullstackdeeplearning%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6787871627586625536&sa=D&sntz=1&usg=AOvVaw23eDRV9AhY4o007CEKu2X9)
[#productinnovation](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Dproductinnovation%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6787871627586625536&sa=D&sntz=1&usg=AOvVaw2AsIcbuD5dqUJA28qtDgSe)
[#patents](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Dpatents%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6787871627586625536&sa=D&sntz=1&usg=AOvVaw3kv-k5ws7NEzqF9ML5lbHd)
[#TensorRT](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Dtensorrt%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6787871627586625536&sa=D&sntz=1&usg=AOvVaw34rToqV4FEI6a8qUEvgY_i)
[#ApacheTVM](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Dapachetvm%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6787871627586625536&sa=D&sntz=1&usg=AOvVaw231JTCeb5OyZgt6ck89BnA)
[#TFLite](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Dtflite%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6787871627586625536&sa=D&sntz=1&usg=AOvVaw2iX_x5Fj5RXQNur3YCdCmx)
[#PyTorchmobile](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Dpytorchmobile%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6787871627586625536&sa=D&sntz=1&usg=AOvVaw37QEC00u5OJDhhHOXqXpfa)
[#TensorFlow](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Dtensorflow%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6787871627586625536&sa=D&sntz=1&usg=AOvVaw1esVtdflQf4ZZx0624h1N9).js
[#CoreML](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Dcoreml%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6787871627586625536&sa=D&sntz=1&usg=AOvVaw2ZXGZtxrsEyl4W-lnZ_mpM)
[#MLkit](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Dmlkit%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6787871627586625536&sa=D&sntz=1&usg=AOvVaw0vadDBE6AbUX1O_6JjGuok)
[#DataDog](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Ddatadog%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6787871627586625536&sa=D&sntz=1&usg=AOvVaw3Sh0T2qWLoIEpoGdsovN3e)
[#NewRelic](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Dnewrelic%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6787871627586625536&sa=D&sntz=1&usg=AOvVaw0Xty08MHg7izhbmUw99I0d)
[#AmazonCloudWatch](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Damazoncloudwatch%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6787871627586625536&sa=D&sntz=1&usg=AOvVaw0brP3L3UwD6s9wrP5rVJ8z)
[#dockers](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Ddockers%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6787871627586625536&sa=D&sntz=1&usg=AOvVaw2f-TuKUh24azBqsvKlVBmI)
[#gRPC](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Dgrpc%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6787871627586625536&sa=D&sntz=1&usg=AOvVaw11hYAjKgAPw1MTu7ihz9De)
[#RESTAPIs](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Drestapis%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6787871627586625536&sa=D&sntz=1&usg=AOvVaw3DKEVm0FUJzdhKMLl6QoTd)
[#GRPC](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Dgrpc%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6787871627586625536&sa=D&sntz=1&usg=AOvVaw11hYAjKgAPw1MTu7ihz9De)
[#GraphQL](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Dgraphql%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6787871627586625536&sa=D&sntz=1&usg=AOvVaw30
--htOGW4sG7y2BjM2He5) #farshidpirahansiah #pirahansiah.com #farshid #pirahansiah
#robotics #SingleObjecttracking #SOT #MultiObjecttracking #MOT
#MultiTargetTracking #MTT #MultiClassMultiObjecttracking #MCMOT
#MultiCameraMultiClassMultiObjectTracking #MCMCMOT #deeplearning
#machinelearning #artificialintelligence #computervision #video
#objectdetection #objecttracking #tensorflow #innovation #learning
#datascience #robotics #3dvision #sterovision #depthmap #RCNN #objectdetection
#objecttracking #ml #research #CNN #gans #convolutionalneuralnetworks #ai #vr
#reinforcementlearning #mlops #aiforbusiness #science #researcher #phd
#cameracalibration #opticalflow #videostablization #humanoidrobot
#localization #3dSLAM #reconstruction #pointcloud #AR/VR #mixedreality
#edgecomputing #raspberrypi #intelstick #googlecoral #jetsonnano #nvidiavgpu
#tensorflowjs #pytorch #opencv #aikit #caffee #DIGITS #c++ #python #ubuntu
#machinevision #imageprocessing #patternrecognition
[#SingleObjecttracking](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Dsingleobjecttracking%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6780044658807472128&sa=D&sntz=1&usg=AOvVaw3YwvbWxTQDiRbi3Tm2uqpf)[
](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Dsot%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6780044658807472128&sa=D&sntz=1&usg=AOvVaw2qer2nQ_iaOJydmjpZJ68t)[#SOT](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Dsot%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6780044658807472128&sa=D&sntz=1&usg=AOvVaw2qer2nQ_iaOJydmjpZJ68t)
[#MultiObjecttracking](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Dmultiobjecttracking%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6780044658807472128&sa=D&sntz=1&usg=AOvVaw1wX74Ebhp-
ECPoFeCkCMct)[
](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Dmot%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6780044658807472128&sa=D&sntz=1&usg=AOvVaw2zMMwiCHRv7zm81eU3p-pO)[#MOT](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Dmot%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6780044658807472128&sa=D&sntz=1&usg=AOvVaw2zMMwiCHRv7zm81eU3p-pO)[
](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Dmultitargettracking%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6780044658807472128&sa=D&sntz=1&usg=AOvVaw3SQmnZgPkH0pJBjsztRG5p)[#MultiTargetTracking](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Dmultitargettracking%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6780044658807472128&sa=D&sntz=1&usg=AOvVaw3SQmnZgPkH0pJBjsztRG5p)[
](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Dmtt%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6780044658807472128&sa=D&sntz=1&usg=AOvVaw0mZir0I2WXG91-SIZPtdRO)[#MTT](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Dmtt%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6780044658807472128&sa=D&sntz=1&usg=AOvVaw0mZir0I2WXG91-SIZPtdRO)
[#MultiClassMultiObjecttracking](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Dmulticlassmultiobjecttracking%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6780044658807472128&sa=D&sntz=1&usg=AOvVaw20iwKRZXaVS7DgBOvK6562)[
](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Dmcmot%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6780044658807472128&sa=D&sntz=1&usg=AOvVaw2VhrixTfDkYRmyE7lij1SK)[#MCMOT](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Dmcmot%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6780044658807472128&sa=D&sntz=1&usg=AOvVaw2VhrixTfDkYRmyE7lij1SK)
[#MultiCameraMultiClassMultiObjectTracking](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Dmulticameramulticlassmultiobjecttracking%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6780044658807472128&sa=D&sntz=1&usg=AOvVaw2HH-
uWNghBY5FEXistcDB3)[
](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Dmcmcmot%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6780044658807472128&sa=D&sntz=1&usg=AOvVaw2PqdIYfNl8Bb-
gg93oJ8xs)[#MCMCMOT](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Dmcmcmot%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6780044658807472128&sa=D&sntz=1&usg=AOvVaw2PqdIYfNl8Bb-
gg93oJ8xs)
[#deeplearning](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Ddeeplearning%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6780044658807472128&sa=D&sntz=1&usg=AOvVaw0xFx9t-yYIzgzagdpzUIsO)[
](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Dmachinelearning%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6780044658807472128&sa=D&sntz=1&usg=AOvVaw0cYttnUUrc6am2CgXQsOOZ)[#machinelearning](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Dmachinelearning%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6780044658807472128&sa=D&sntz=1&usg=AOvVaw0cYttnUUrc6am2CgXQsOOZ)[
](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Dartificialintelligence%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6780044658807472128&sa=D&sntz=1&usg=AOvVaw03xR4UQw7q4HR2mSrrl5tG)[#artificialintelligence](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Dartificialintelligence%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6780044658807472128&sa=D&sntz=1&usg=AOvVaw03xR4UQw7q4HR2mSrrl5tG)
[#computervision](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Dcomputervision%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6779686219396739072&sa=D&sntz=1&usg=AOvVaw0Za2W-E3D2yYrkT9qqdT-W)[
](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Dvideo%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6779686219396739072&sa=D&sntz=1&usg=AOvVaw0m0XV9aWTxOfZYRkKIAPPV)[#video](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Dvideo%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6779686219396739072&sa=D&sntz=1&usg=AOvVaw0m0XV9aWTxOfZYRkKIAPPV)[
](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Dobjectdetection%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6779686219396739072&sa=D&sntz=1&usg=AOvVaw2LjzNOzcVA6USEGDh4I6jI)[#objectdetection](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Dobjectdetection%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6779686219396739072&sa=D&sntz=1&usg=AOvVaw2LjzNOzcVA6USEGDh4I6jI)[
](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Dobjecttracking%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6779686219396739072&sa=D&sntz=1&usg=AOvVaw1Oh0dtOTWUJI2Iim6S0AN7)[#objecttracking](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Dobjecttracking%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6779686219396739072&sa=D&sntz=1&usg=AOvVaw1Oh0dtOTWUJI2Iim6S0AN7)
[#tensorflow](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Dtensorflow%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6778369331723034624&sa=D&sntz=1&usg=AOvVaw1wCTy9_6UXNF0PB0910n9T)[
](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Dinnovation%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6778369331723034624&sa=D&sntz=1&usg=AOvVaw1-46_OT1MzHuYxGVr638wN)[#innovation](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Dinnovation%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6778369331723034624&sa=D&sntz=1&usg=AOvVaw1-46_OT1MzHuYxGVr638wN)[
](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Dlearning%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6778369331723034624&sa=D&sntz=1&usg=AOvVaw11RctM8kzFZtK_u_EiVPFv)[#learning](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Dlearning%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6778369331723034624&sa=D&sntz=1&usg=AOvVaw11RctM8kzFZtK_u_EiVPFv)[
](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Ddatascience%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6778369331723034624&sa=D&sntz=1&usg=AOvVaw1jA3uNp6ZmlZ6B3uwhEcRz)[#datascience](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Ddatascience%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6778369331723034624&sa=D&sntz=1&usg=AOvVaw1jA3uNp6ZmlZ6B3uwhEcRz)[
](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Drobotics%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6778369331723034624&sa=D&sntz=1&usg=AOvVaw0D4D96FX2HhU2Fj97rH4Zd)[#robotics](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Drobotics%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6778369331723034624&sa=D&sntz=1&usg=AOvVaw0D4D96FX2HhU2Fj97rH4Zd)[
](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3D3dvision%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6778369331723034624&sa=D&sntz=1&usg=AOvVaw2wp-2JE9cfE5nxRg_n8RrO)[#3dvision](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3D3dvision%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6778369331723034624&sa=D&sntz=1&usg=AOvVaw2wp-2JE9cfE5nxRg_n8RrO)[
](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Dsterovision%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6778369331723034624&sa=D&sntz=1&usg=AOvVaw14U1dxAI3va7RpGnt5zFqi)[#sterovision](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Dsterovision%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6778369331723034624&sa=D&sntz=1&usg=AOvVaw14U1dxAI3va7RpGnt5zFqi)[
](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Ddepthmap%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6778369331723034624&sa=D&sntz=1&usg=AOvVaw2IUjxDWefYvk1zG4HSDlYk)[#depthmap](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Ddepthmap%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6778369331723034624&sa=D&sntz=1&usg=AOvVaw2IUjxDWefYvk1zG4HSDlYk)[
](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Drcnn%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6778369331723034624&sa=D&sntz=1&usg=AOvVaw2_KnKcpHOIdX-
VkNkBsksH)[#RCNN](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Drcnn%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6778369331723034624&sa=D&sntz=1&usg=AOvVaw2_KnKcpHOIdX-
VkNkBsksH)[
](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Dobjectdetection%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6778369331723034624&sa=D&sntz=1&usg=AOvVaw3FQG7u1kjj7vKJtlZ6kaqY)[#objectdetection](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Dobjectdetection%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6778369331723034624&sa=D&sntz=1&usg=AOvVaw3FQG7u1kjj7vKJtlZ6kaqY)[
](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Dobjecttracking%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6778369331723034624&sa=D&sntz=1&usg=AOvVaw0-ugBSCESSFNCXInEwY54T)[#objecttracking](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Dobjecttracking%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6778369331723034624&sa=D&sntz=1&usg=AOvVaw0-ugBSCESSFNCXInEwY54T)[
](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Dml%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6778369331723034624&sa=D&sntz=1&usg=AOvVaw2q2dWmCGsx8n_0ohIfLjO8)[#ml](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Dml%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6778369331723034624&sa=D&sntz=1&usg=AOvVaw2q2dWmCGsx8n_0ohIfLjO8)[
](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Dresearch%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6778369331723034624&sa=D&sntz=1&usg=AOvVaw0hx-
ml1B3kCC__G2wEkTdH)[#research](https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Ffeed%2Fhashtag%2F%3Fkeywords%3Dresearch%26highlightedUpdateUrns%3Durn%253Ali%253Aactivity%253A6778369331723034624&sa=D&sntz=1&usg=AOvVaw0hx-
ml1B3kCC__G2wEkTdH) #CNN #GAN
[](https://docs.google.com/forms/d/e/1FAIpQLSdiQprY0yS25LBVixQnsjkoUTjOtzx1oJye1C77At4Ur2oqTg/viewform
"Open Google Forms, Contact Information in new window")
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# amazon
Best Amazon items
##
https://amzn.to/3Wbr4gx
##
[https://amzn.to/3UEKJE5](https://www.google.com/url?q=https%3A%2F%2Famzn.to%2F3UEKJE5&sa=D&sntz=1&usg=AOvVaw3CZbNS5arbYfJ6Xti-
Tdi1)
##
https://amzn.to/3PdNPOb
##
https://amzn.to/3uBvNfC
##
[https://amzn.to/3uyAhUf](https://www.google.com/url?q=https%3A%2F%2Famzn.to%2F3uyAhUf&sa=D&sntz=1&usg=AOvVaw1I-L6cLwdWOJJPyboWlfQm)
##
[https://amzn.to/3BkuzsW](https://www.google.com/url?q=https%3A%2F%2Famzn.to%2F3BkuzsW&sa=D&sntz=1&usg=AOvVaw3NClDxzcW4yyP-j9ECaMuM)
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# amazon
Best Amazon items
##
https://amzn.to/3Wbr4gx
##
[https://amzn.to/3UEKJE5](https://www.google.com/url?q=https%3A%2F%2Famzn.to%2F3UEKJE5&sa=D&sntz=1&usg=AOvVaw3CZbNS5arbYfJ6Xti-
Tdi1)
##
https://amzn.to/3PdNPOb
##
https://amzn.to/3uBvNfC
##
[https://amzn.to/3uyAhUf](https://www.google.com/url?q=https%3A%2F%2Famzn.to%2F3uyAhUf&sa=D&sntz=1&usg=AOvVaw1I-L6cLwdWOJJPyboWlfQm)
##
[https://amzn.to/3BkuzsW](https://www.google.com/url?q=https%3A%2F%2Famzn.to%2F3BkuzsW&sa=D&sntz=1&usg=AOvVaw3NClDxzcW4yyP-j9ECaMuM)
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# amazon
Best Amazon items
##
https://amzn.to/3Wbr4gx
##
[https://amzn.to/3UEKJE5](https://www.google.com/url?q=https%3A%2F%2Famzn.to%2F3UEKJE5&sa=D&sntz=1&usg=AOvVaw3CZbNS5arbYfJ6Xti-
Tdi1)
##
https://amzn.to/3PdNPOb
##
https://amzn.to/3uBvNfC
##
[https://amzn.to/3uyAhUf](https://www.google.com/url?q=https%3A%2F%2Famzn.to%2F3uyAhUf&sa=D&sntz=1&usg=AOvVaw1I-L6cLwdWOJJPyboWlfQm)
##
[https://amzn.to/3BkuzsW](https://www.google.com/url?q=https%3A%2F%2Famzn.to%2F3BkuzsW&sa=D&sntz=1&usg=AOvVaw3NClDxzcW4yyP-j9ECaMuM)
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# amazon
Best Amazon items
##
https://amzn.to/3Wbr4gx
##
[https://amzn.to/3UEKJE5](https://www.google.com/url?q=https%3A%2F%2Famzn.to%2F3UEKJE5&sa=D&sntz=1&usg=AOvVaw3CZbNS5arbYfJ6Xti-
Tdi1)
##
https://amzn.to/3PdNPOb
##
https://amzn.to/3uBvNfC
##
[https://amzn.to/3uyAhUf](https://www.google.com/url?q=https%3A%2F%2Famzn.to%2F3uyAhUf&sa=D&sntz=1&usg=AOvVaw1I-L6cLwdWOJJPyboWlfQm)
##
[https://amzn.to/3BkuzsW](https://www.google.com/url?q=https%3A%2F%2Famzn.to%2F3BkuzsW&sa=D&sntz=1&usg=AOvVaw3NClDxzcW4yyP-j9ECaMuM)
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* [python](/topics-and-projects/source-code/opencv/python)
* [MacOS+OpenCV](/topics-and-projects/source-code/opencv/macos-opencv)
* [Rust](/topics-and-projects/source-code/opencv/rust)
* [compile](/topics-and-projects/source-code/compile)
* [IoT](/topics-and-projects/source-code/iot)
* [Share](/topics-and-projects/share)
* [Video Tracking](/topics-and-projects/video-tracking)
* [Camera_Calibration](/topics-and-projects/camera_calibration)
* [DRL](/topics-and-projects/drl)
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[Computer
Vision, Deep Learning, Artificial superintelligence (ASI)](/home)
# amazon
Best Amazon items
##
https://amzn.to/3Wbr4gx
##
[https://amzn.to/3UEKJE5](https://www.google.com/url?q=https%3A%2F%2Famzn.to%2F3UEKJE5&sa=D&sntz=1&usg=AOvVaw3CZbNS5arbYfJ6Xti-
Tdi1)
##
https://amzn.to/3PdNPOb
##
https://amzn.to/3uBvNfC
##
[https://amzn.to/3uyAhUf](https://www.google.com/url?q=https%3A%2F%2Famzn.to%2F3uyAhUf&sa=D&sntz=1&usg=AOvVaw1I-L6cLwdWOJJPyboWlfQm)
##
[https://amzn.to/3BkuzsW](https://www.google.com/url?q=https%3A%2F%2Famzn.to%2F3BkuzsW&sa=D&sntz=1&usg=AOvVaw3NClDxzcW4yyP-j9ECaMuM)
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* [OpenCV](/topics-and-projects/source-code/opencv)
* [CPP](/topics-and-projects/source-code/opencv/cpp)
* [python](/topics-and-projects/source-code/opencv/python)
* [MacOS+OpenCV](/topics-and-projects/source-code/opencv/macos-opencv)
* [Rust](/topics-and-projects/source-code/opencv/rust)
* [compile](/topics-and-projects/source-code/compile)
* [IoT](/topics-and-projects/source-code/iot)
* [Share](/topics-and-projects/share)
* [Video Tracking](/topics-and-projects/video-tracking)
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* [DRL](/topics-and-projects/drl)
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* [Apple](/topics-and-projects/apple)
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* [amazon](/links/amazon)
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[Computer
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# amazon
Best Amazon items
##
https://amzn.to/3Wbr4gx
##
[https://amzn.to/3UEKJE5](https://www.google.com/url?q=https%3A%2F%2Famzn.to%2F3UEKJE5&sa=D&sntz=1&usg=AOvVaw3CZbNS5arbYfJ6Xti-
Tdi1)
##
https://amzn.to/3PdNPOb
##
https://amzn.to/3uBvNfC
##
[https://amzn.to/3uyAhUf](https://www.google.com/url?q=https%3A%2F%2Famzn.to%2F3uyAhUf&sa=D&sntz=1&usg=AOvVaw1I-L6cLwdWOJJPyboWlfQm)
##
[https://amzn.to/3BkuzsW](https://www.google.com/url?q=https%3A%2F%2Famzn.to%2F3BkuzsW&sa=D&sntz=1&usg=AOvVaw3NClDxzcW4yyP-j9ECaMuM)
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* [Roadmap for Image Processing ](/topics-and-projects/how-to-start/roadmap-for-image-processing)
* [Source Code](/topics-and-projects/source-code)
* [OpenCV](/topics-and-projects/source-code/opencv)
* [CPP](/topics-and-projects/source-code/opencv/cpp)
* [python](/topics-and-projects/source-code/opencv/python)
* [MacOS+OpenCV](/topics-and-projects/source-code/opencv/macos-opencv)
* [Rust](/topics-and-projects/source-code/opencv/rust)
* [compile](/topics-and-projects/source-code/compile)
* [IoT](/topics-and-projects/source-code/iot)
* [Share](/topics-and-projects/share)
* [Video Tracking](/topics-and-projects/video-tracking)
* [Camera_Calibration](/topics-and-projects/camera_calibration)
* [DRL](/topics-and-projects/drl)
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* [Links](/links)
* [amazon](/links/amazon)
* [About](/about)
* [FQA](/about/fqa)
[Computer Vision, Deep Learning, Artificial
superintelligence (ASI)](/home)
# amazon
Best Amazon items
##
https://amzn.to/3Wbr4gx
##
[https://amzn.to/3UEKJE5](https://www.google.com/url?q=https%3A%2F%2Famzn.to%2F3UEKJE5&sa=D&sntz=1&usg=AOvVaw3CZbNS5arbYfJ6Xti-
Tdi1)
##
https://amzn.to/3PdNPOb
##
https://amzn.to/3uBvNfC
##
[https://amzn.to/3uyAhUf](https://www.google.com/url?q=https%3A%2F%2Famzn.to%2F3uyAhUf&sa=D&sntz=1&usg=AOvVaw1I-L6cLwdWOJJPyboWlfQm)
##
[https://amzn.to/3BkuzsW](https://www.google.com/url?q=https%3A%2F%2Famzn.to%2F3BkuzsW&sa=D&sntz=1&usg=AOvVaw3NClDxzcW4yyP-j9ECaMuM)
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* [Topics and Projects](/topics-and-projects)
* [AI_Hub](/topics-and-projects/ai_hub)
* [ChatGPT](/topics-and-projects/chatgpt)
* [How to start](/topics-and-projects/how-to-start)
* [YouTube](/topics-and-projects/how-to-start/youtube)
* [YouTube II](/topics-and-projects/how-to-start/youtube-ii)
* [Software](/topics-and-projects/how-to-start/software)
* [Roadmap for Image Processing ](/topics-and-projects/how-to-start/roadmap-for-image-processing)
* [Source Code](/topics-and-projects/source-code)
* [OpenCV](/topics-and-projects/source-code/opencv)
* [CPP](/topics-and-projects/source-code/opencv/cpp)
* [python](/topics-and-projects/source-code/opencv/python)
* [MacOS+OpenCV](/topics-and-projects/source-code/opencv/macos-opencv)
* [Rust](/topics-and-projects/source-code/opencv/rust)
* [compile](/topics-and-projects/source-code/compile)
* [IoT](/topics-and-projects/source-code/iot)
* [Share](/topics-and-projects/share)
* [Video Tracking](/topics-and-projects/video-tracking)
* [Camera_Calibration](/topics-and-projects/camera_calibration)
* [DRL](/topics-and-projects/drl)
* [Hardware](/topics-and-projects/hardware)
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# Links
pirahansiah, Personal, Roadmap, Books, Online Courses
[](https://drive.google.com/open?id=1ELXvmqcSciCK8-TUVsyVRnYTuxnKta-_xze-
oXQexwY "Open Spreadsheet, Links in new window")
Links
Links from my research and interest
AI in RISC-V
Mixed reality
Old Links
Reference
Link Groups
Top website
Python
Computer Vision
Documents
Business
Tools
Patents
Books
Journal Papers
Conference Papers
Articles on LinkedIn
Slides slideshare
Online Courses
Learning path
Completed
Reference
Link of best Groups
Books
Videos
Papers
Site
Efficient Video Dataset Loading and Augmentation in PyTorch for deep learning
training loops.
GitHub[ https://lnkd.in/gpR8idsp](https://lnkd.in/gpR8idsp)
[https://remmina.org/how-to-install-remmina/](https://remmina.org/how-to-
install-remmina/)
[https://readme.so/](https://readme.so/)
#
Links from my research and interest
[Build Better Generative Adversarial Networks (GANs) - Andrew Ng -
2021](https://www.youtube.com/playlist?list=PLuv1FSpHurUfl44GWqaCzEhGP-aP_-
VnF)
[https://www.oreilly.com/library/view/flow-
architectures/9781492075882/](https://www.oreilly.com/library/view/flow-
architectures/9781492075882/)
##
AI in RISC-V
* [RISC-V hardware & software ecosystem highlights in 2020](https://www.cnx-software.com/2020/12/10/risc-v-hardware-software-ecosystem-highlights-in-2020)
##
Mixed reality
* [https://github.com/MIT-SPARK/Kimera](https://github.com/MIT-SPARK/Kimera)
* Kimera is a C++ library for real-time metric-semantic simultaneous localization and mapping, which uses camera images and inertial data to build a semantically annotated 3D mesh of the environment. Kimera is modular, ROS-enabled, and runs on a CPU.
#
Old Links
###
Reference
[https://drive.google.com/file/d/1xd5TZlEZnUUieXzw3Lxn3Sv7MwIajU_W/view?usp=sharing](https://drive.google.com/file/d/1xd5TZlEZnUUieXzw3Lxn3Sv7MwIajU_W/view?usp=sharing)
###
Link Groups
* [LinkedIn: Computer Vision, Deep Learning, Deep Reinforcement Learning, GANs, OpenCV, Caffe, TensorFlow,PyTorch](https://www.linkedin.com/groups/10320678/)
* [Source code](https://gitlab.com/pirahansiah)
* [Facebook : Deep Learning, Computer Vision, Robotics ](https://web.facebook.com/groups/185926728115336/)
* [The link to one-note notebook ](https://1drv.ms/u/s!AhG15hrdT9JOgR5GZgPjve65F-e5)
* [GitHub](https://github.com/pirahansiah)
###
Top website
* [https://paperswithcode.com/](https://paperswithcode.com/)
* [https://www.learnthepart.com/](https://www.learnthepart.com/)
* [https://hackaday.com/](https://hackaday.com/)
* [https://medium.com/@pirahansiah/timesaver-626019137fa9?sk=cde3334919d6c16ba0964fe021a24762](https://medium.com/@pirahansiah/timesaver-626019137fa9?sk=cde3334919d6c16ba0964fe021a24762)
* hbrew install youtube-dl
* [https://www.masterclass.com/](https://www.masterclass.com/)
* [Deep Learning for coders (2020)](https://www.youtube.com/user/howardjeremyp)
* [Deep Learning for Video](https://mcv-m6-video.github.io/deepvideo-2019/) (Master in Computer Vision Barcelona)
* [Augmented Reality using ArUco Markers in OpenCV (C++ / Python)](https://www.learnopencv.com/augmented-reality-using-aruco-markers-in-opencv-c-python/)
* [https://explainshell.com/](https://explainshell.com/)
* [https://stackoverflow.blog/2020/02/12/when-laziness-is-efficient-make-the-most-of-your-command-line/](https://stackoverflow.blog/2020/02/12/when-laziness-is-efficient-make-the-most-of-your-command-line/?utm_source=Iterable&utm_medium=email&utm_campaign=the_overflow_newsletter&utm_content=02-19-20)
* [https://link.medium.com/XA49Ke0Jt4](https://link.medium.com/XA49Ke0Jt4)
* [https://link.medium.com/Np0YEy1Jt4](https://link.medium.com/Np0YEy1Jt4)
###
Python
* [How to Write Beautiful Python Code With PEP 8](https://realpython.com/python-pep8/)
* [PEP 622 -- Structural Pattern Matching](https://www.python.org/dev/peps/pep-0622/)
* [Monitor Your Dependencies! Stop Being A Blind Data-Scientist.](https://towardsdatascience.com/monitor-your-dependencies-stop-being-a-blind-data-scientist-a3150bd64594)
###
Computer Vision
* [Hybrid CV/DL pipelines with OpenCV 4.4 G-API](https://opencv.org/hybrid-cv-dl-pipelines-with-opencv-4-4-g-api/)
* [PaddleDetection is an end-to-end object detection development kit based on PaddlePaddle, which aims to help developers in the whole development of training models, optimizing performance and inference speed, and deploying models. ](https://github.com/PaddlePaddle/PaddleDetection/blob/release/0.4/README_en.md)
* [https://github.com/google/mediapipe](https://github.com/google/mediapipe)
###
Documents
* [https://book.keybase.io/docs](https://book.keybase.io/docs)
* [kind is a tool for running local Kubernetes clusters using Docker container "nodes".](https://github.com/kubernetes-sigs/kind)
* [FINN is an experimental framework from Xilinx Research Labs to explore deep neural network inference on FPGAs. ](https://xilinx.github.io/finn/)
* [Gitter is a chat and networking platform that helps to manage, grow and connect communities through messaging, content and discovery.](https://gitter.im/)
* [Fair and useful benchmarks for measuring training and inference performance of ML hardware, software, and services.](https://mlperf.org/)
* [https://kepler.gl/demo](https://kepler.gl/demo)
* [Open source, highly available Prometheus setup with long term storage capabilities.](https://thanos.io/)
* [Deep Learning Design Patterns - Jr Data Scientist - Part 3 - Alternative Connectivity Patterns](https://www.youtube.com/watch?v=JI-MButCqUE)
###
Business
* [5 Ways to Make More Money as a Coach or Consultant](https://www.entrepreneur.com/article/283006)
* [https://www.youtube.com/watch?v=njx09wXb9o0&list=PLnhdsL4kFmVYMNq6F8k8UiFkc6fwIdk3o&index=5](https://www.youtube.com/watch?v=njx09wXb9o0&list=PLnhdsL4kFmVYMNq6F8k8UiFkc6fwIdk3o&index=5)
###
Tools
* Free convert video for mac opensource
* [https://github.com/HandBrake/HandBrake](https://github.com/HandBrake/HandBrake)
* [https://handbrake.fr/rotation.php?file=HandBrake-1.3.3.dmg](https://handbrake.fr/rotation.php?file=HandBrake-1.3.3.dmg)
* [global-gitignore.md](https://gist.github.com/subfuzion/db7f57fff2fb6998a16c)
* [https://nextbillion.ai/](https://nextbillion.ai/) Mapping platform built for enterprises
* [https://github.com/ondras/my-mind](https://github.com/ondras/my-mind) MindMap
* [Create and share beautiful images of your source code.](https://carbon.now.sh/)
* [Web IDE](https://replit.com/templates)
* [https://github.com/jely2002/youtube-dl-gui/releases/tag/v2.2.2](https://github.com/jely2002/youtube-dl-gui/releases/tag/v2.2.2)
###
Patents
[https://patents.google.com/?inventor=pirahansiah&oq=pirahansiah](https://patents.google.com/?inventor=pirahansiah&oq=pirahansiah)
1. System and method for providing advertisement contents based on facial analysis (WO2020141969A2)
2. A method for augmenting a plurality of face images (WO2021060971A1)
3. A method for detecting a moving vehicle (WO2021107761A1)
1. System and method for providing advertisement contents based on facial analysis (WO2020141969A2)
The present invention relates to a system (100) for providing advertisement
contents based on facial analysis comprising an image acquisition device (10)
to acquire an image of a user, a face detection module (20) to detect face of
the user in the image, an analysis module (40) to analyse the facial features
statistically using classification models retrieved from a classification
module (30), a database (60) to store matching rules, weighted advertisements
and a plurality of advertisement contents; and a display device (80) to
display the advertisement contents. The system (100) further comprises a
computation module (50) to compute weighted image of the user and a matching
module (70) to match the weighted image of the user with the weighted
advertisement to select an advertisement content based on facial analysis of
the user. A method of providing the advertisement contents based on facial
analysis is also provided thereof.
[https://patentimages.storage.googleapis.com/ff/3f/a5/e7b42ef58d8a03/WO2020141969A2.pdf](https://patentimages.storage.googleapis.com/ff/3f/a5/e7b42ef58d8a03/WO2020141969A2.pdf)
2. A method for augmenting a plurality of face images (WO2021060971A1)
The present invention relates to a method for increasing data for face
analysis in video surveillance. The method comprises the steps of acquiring at
least one face image from an image acquisition module (102), acquiring a
plurality of face images available on the internet using a data input module
(104), increasing face images by at least one data augmentation module (106
and 107), generating a plurality of face images based on a trained Generative
Adversarial Network, GAN technique by using a GAN module, selecting proper
images based on quality of the face images using a fuzzy logic module (111),
saving the selected images into a fifth database, and training the deep
learning module (113).
[https://patentimages.storage.googleapis.com/b8/d9/7f/ea8a5b789e1dad/WO2021060971A1.pdf](https://patentimages.storage.googleapis.com/b8/d9/7f/ea8a5b789e1dad/WO2021060971A1.pdf)
3. A method for detecting a moving vehicle (WO2021107761A1)
The present invention relates to a method for detecting a moving vehicle. The
method comprises the steps of grabbing an initial image from a video stream by
a vehicle detection module (1100), wherein the vehicle detection module (1100)
is a part of a system (1000) to identify moving vehicle, enhancing the
illumination of the initial image by the vehicle detection module (1100),
enhancing the edges within the initial image by the vehicle detection module
(1100), and finding vehicle based on homogenous properties of the body of the
vehicle by the vehicle detection module (1100). The step of finding vehicle
based on homogenous property of the body of the vehicle by the vehicle
detection module (1100) further comprising the sub-steps of closing open
edges, inverting the binary image, segmenting an inverted binary image,
filtering the noise based on geometric feature, and filtering the noise based
on relation.
[https://patentimages.storage.googleapis.com/16/41/83/2576e20c4a0af5/WO2021107761A1.pdf](https://patentimages.storage.googleapis.com/16/41/83/2576e20c4a0af5/WO2021107761A1.pdf)
###
Books
1. [book chapter titled “Camera Calibration and Video Stabilization Framework for Robot Localization” in the Book entitled “Control Engineering in Robotics and Industrial Automation" which will be published (24/07/2021) in Springer. ](https://www.waterstones.com/book/control-engineering-in-robotics-and-industrial-automation/muralindran-mariappan/mohd-rizal-arshad/9783030745394)
2. [book chapter titled “Augmented Optical Flow Methods for Video Stabilization", In Computational Intelligence: from theory to application. (2017) (p18). ](http://www.ukm.my/penerbit/penerbitan-2017/)
###
Journal Papers
* Using An Ant Colony Optimization Algorithm For Image Edge Detection As A Threshold Segmentation For OCR System Journal of Theoretical & Applied Information Technology, 95(21)
* * [http://www.jatit.org/volumes/Vol95No21/1Vol95No21.pdf](http://www.jatit.org/volumes/Vol95No21/1Vol95No21.pdf)
* GSFT-PSNR: Global Single Fuzzy Threshold Based on PSNR for OCR Systems, International Journal of Computer Science and Network Solutions 4(6)
* * [https://www.ijcsns.com/June.2016-Volume.4-No.6/Article01.pdf](https://www.ijcsns.com/June.2016-Volume.4-No.6/Article01.pdf)
* Adaptive Image Thresholding based On the Peak Signal-To-Noise Ratio, Research Journal of Applied Sciences, Engineering and Technology 8(9).
* * [http://www.academia.edu/download/44161592/Adaptive_Image_Thresholding_Based_on_the20160328-31366-1wyb1jc.pdf](http://www.academia.edu/download/44161592/Adaptive_Image_Thresholding_Based_on_the20160328-31366-1wyb1jc.pdf)
* Simultaneous Localization and Mapping Trends and Humanoid Robot Linkages, Asia-Pacific Journal of Information Technology and Multimedia (APJITM)
* * [http://journalarticle.ukm.my/6644/1/4429-10302-1-SM.pdf](http://journalarticle.ukm.my/6644/1/4429-10302-1-SM.pdf)
* Peak Signal-To-Noise Ratio Based On Threshold Method for Image Segmentation, Journal of Theoretical & Applied Information Technology, 57(2)
* * [http://www.jatit.org/volumes/Vol57No2/4Vol57No2.pdf](http://www.jatit.org/volumes/Vol57No2/4Vol57No2.pdf)
* Character recognition based on global feature extraction; Journal of Theoretical and Applied Information Technology 52
* * [http://www.jatit.org/volumes/Vol52No2/6Vol52No2.pdf](http://www.jatit.org/volumes/Vol52No2/6Vol52No2.pdf)
###
Conference Papers
* Pattern Image Significance for Camera Calibration, IEEE Student Conference on Research and Development (SCOReD 2017)
* [http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8305440&isnumber=8305342](http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8305440&isnumber=8305342)
* Augmented optical flow methods for video stabilization. 4th Artificial Intelligence Technology Postgraduate Seminar (CAITPS 2015)
* [http://www.academia.edu/download/45596617/farshid.pdf](http://www.academia.edu/download/45596617/farshid.pdf)
* Auto-Calibration for Multi-Modal Robot Vision based on Image Quality Assessment, The 10th Asian Control Conference (ASCC 2015)
* [https://doi.org/10.1109/ASCC.2015.7360336](https://doi.org/10.1109/ASCC.2015.7360336)
* 2D versus 3D Map for Environment Movement Objects, Second National Doctoral Seminar in Artificial Intelligence Technology (CAIT 2012)
* [http://www.ftsm.ukm.my/cait2012/images/Program%20Schedule%20CAIT2012.pdf](http://www.ftsm.ukm.my/cait2012/images/Program%20Schedule%20CAIT2012.pdf)
* Comparison Single Thresholding Method for Image Segmentation on Handwritten Images, International Conference on Pattern Analysis and Intelligent Robotics
* [https://doi.org/10.1109/ICPAIR.2011.5976918](https://doi.org/10.1109/ICPAIR.2011.5976918)
* License Plate Recognition with Multi-Threshold Based on Entropy, 3rd International Conference on Electrical Engineering and Informatics (ICEEI 2011)
* [https://doi.org/10.1109/ICEEI.2011.6021627](https://doi.org/10.1109/ICEEI.2011.6021627)
* Character recognition based on global feature extraction, 3rd International Conference On Electrical Engineering and Informatics (ICEEI 2011)
* [https://pdfs.semanticscholar.org/2d22/66bfb2f5ba5cb40b5946b82c620dc713d793.pdf](https://pdfs.semanticscholar.org/2d22/66bfb2f5ba5cb40b5946b82c620dc713d793.pdf)
* [https://doi.org/10.1109/ICEEI.2011.6021649](https://doi.org/10.1109/ICEEI.2011.6021649)
* Tafresh Grid: Grid computing in Tafresh university," 2011 IEEE 3rd International Conference on Communication Software and Networks, Xi'an, 2011, pp. 83-85.
* [http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6014009&isnumber=6013532](http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6014009&isnumber=6013532)
* Adaptive image segmentation based on Peak Signal to Noise Ratio for a license plate Recognition system, International Conference on Computer Applications and Industrial Electronics (ICCAIE 2010)
* [https://doi.org/10.1109/ICCAIE.2010.5735125](https://doi.org/10.1109/ICCAIE.2010.5735125)
* [http://www.academia.edu/download/44161592/Adaptive_Image_Thresholding_Based_on_the20160328-31366-1wyb1jc.pdf](http://www.academia.edu/download/44161592/Adaptive_Image_Thresholding_Based_on_the20160328-31366-1wyb1jc.pdf)
* Multi-threshold approach for license plate recognition system, International Conference on Signal and Image Processing WASET ICSIP 2010:1046-1050
* [http://waset.org/publications/3636](http://waset.org/publications/3636)
* An evaluation of classification techniques using enhanced Geometrical Topological Feature Analysis, 2nd Malaysian Joint Conference on Artificial Intelligence (MJCAI 2010)
* [https://scholar.google.com/scholar?oi=bibs&cluster=3038184255311332521&btnI=1&hl=en](https://scholar.google.com/scholar?oi=bibs&cluster=3038184255311332521&btnI=1&hl=en)
###
Articles on LinkedIn
* [ADRL: Advanced Deep Reinforcement Learning {Patents and papers; Main point summary on recently published research on DRL} (draft version Feb 2019) ]([https://www.linkedin.com/pulse/patents-papers-adrl-advanced-deep-reinforcement-feb-pirahansiah-phd/](https://www.linkedin.com/pulse/patents-papers-adrl-advanced-deep-reinforcement-feb-pirahansiah-phd/))
* [The most important research papers for deep learning (updated December, 2017)]([https://www.linkedin.com/pulse/most-important-research-papers-deep-learning-updated-2017-farshid/](https://www.linkedin.com/pulse/most-important-research-papers-deep-learning-updated-2017-farshid/) )
* [List of useful links (Videos, Slides, Articles) for Deep Learning ]([https://www.linkedin.com/pulse/list-useful-links-videos-slides-articles-deep-farshid-pirahansiah/](https://www.linkedin.com/pulse/list-useful-links-videos-slides-articles-deep-farshid-pirahansiah/))
* [Autonomous driving vehicles (Computer Vision, Deep Learning)]([https://www.linkedin.com/pulse/autonomous-driving-vehicles-computer-vision-deep-farshid-pirahansiah-1/](https://www.linkedin.com/pulse/autonomous-driving-vehicles-computer-vision-deep-farshid-pirahansiah-1/)
* [Thresholding]([https://www.linkedin.com/pulse/thresholding-farshid-pirahansiah/](https://www.linkedin.com/pulse/thresholding-farshid-pirahansiah/)
###
Slides slideshare
* Deep Learning for Computer Vision in Ubuntu 19; Part 1 installation [Link]([https://www.slideshare.net/pirahansiah/deep-learning-for-computer-vision-in-ubuntu-19-part-1-installation](https://www.slideshare.net/pirahansiah/deep-learning-for-computer-vision-in-ubuntu-19-part-1-installation)
* Using Deep Learning for Computer Vision Applications [Link]([https://www.slideshare.net/pirahansiah/using-deep-learning-for-computer-vision-applications](https://www.slideshare.net/pirahansiah/using-deep-learning-for-computer-vision-applications) )
* tensorflow1.3 digits6.0 Caffe [Link]([https://www.slideshare.net/pirahansiah/farshid-tensorflow13-digits60caffe](https://www.slideshare.net/pirahansiah/farshid-tensorflow13-digits60caffe) )
* Install TensorFlow 1.2 on macOS Sierra on MacBook (June 2017) [Link]([https://www.slideshare.net/pirahansiah/install-tensorflow-12-on-macos-sierra-on-macbook-june-2017](https://www.slideshare.net/pirahansiah/install-tensorflow-12-on-macos-sierra-on-macbook-june-2017) )
* Best Deep Learning Post from LinkedIn Group [Link]([https://www.slideshare.net/pirahansiah/best-deep-learning-post-from-linkedin-group](https://www.slideshare.net/pirahansiah/best-deep-learning-post-from-linkedin-group) )
* Install, Compile, Setup, Setting OpenCV 3.2, Visual C++ 2015, Win 64bit [Link]([https://www.slideshare.net/pirahansiah/install-compile-setup-setting-opencv-32-visual-c-2015-win-64bit](https://www.slideshare.net/pirahansiah/install-compile-setup-setting-opencv-32-visual-c-2015-win-64bit) )
* Layers in Deep Learning&Caffe layers (model architecture ) [Link]([https://www.slideshare.net/pirahansiah/layers-in-deep-learningcaffe-layers-model-architecture](https://www.slideshare.net/pirahansiah/layers-in-deep-learningcaffe-layers-model-architecture) )
* How to install Digits 5.1 on Ubuntu 14 [Link]([https://www.slideshare.net/pirahansiah/how-to-install-digits-51-on-ubuntu-14](https://www.slideshare.net/pirahansiah/how-to-install-digits-51-on-ubuntu-14) )
* Deep Learning for Video Analysis – part 1 (DeepStream SDK) [NVIDIA TensorRT || NVIDIA GPU Inference Engine (GIE)] [Link]([https://www.slideshare.net/pirahansiah/deep-learning-for-video-analysis-part-1-deepstream-sdk-nvidia-tensorrt-nvidia-gpu-inference-engine-gie](https://www.slideshare.net/pirahansiah/deep-learning-for-video-analysis-part-1-deepstream-sdk-nvidia-tensorrt-nvidia-gpu-inference-engine-gie) )
* Computer Vision, Deep Learning, OpenCV [Link]([https://www.slideshare.net/pirahansiah/computer-vision-deep-learning-opencv](https://www.slideshare.net/pirahansiah/computer-vision-deep-learning-opencv) )
###
Online Courses
* [Writing with Impact ](https://www.linkedin.com/learning/writing-with-impact)
* [Balancing Work and Life ](https://www.linkedin.com/learning/balancing-work-and-life)
* [Finance Foundations: Income Taxes ](https://www.linkedin.com/learning/finance-foundations-income-taxes-2)
* [Starting a Business with Family and Friends ](https://www.linkedin.com/learning/starting-a-business-with-family-and-friends)
* [Finance Essentials for Small Business ](https://www.linkedin.com/learning/finance-essentials-for-small-business)
* [Setting Up Your Small Business as a Legal Entity ](https://www.linkedin.com/learning/setting-up-your-small-business-as-a-legal-entity)
* [Creating a Business Plan ](https://www.linkedin.com/learning/creating-a-business-plan-2)
* [Understanding Business ](https://www.linkedin.com/learning/understanding-business)
* [Entrepreneurship: Finding and Testing Your Business Idea ](https://www.linkedin.com/learning/entrepreneurship-finding-and-testing-your-business-idea)
* [Guy Kawasaki on Entrepreneurship ](https://www.linkedin.com/learning/guy-kawasaki-on-entrepreneurship)
* [Financial Modeling Foundations ](https://www.linkedin.com/learning/financial-modeling-foundations)
* [Financial Accounting Foundations ](https://www.linkedin.com/learning/financial-accounting-foundations)
* [Strategic Planning Foundations ](https://www.linkedin.com/learning/strategic-planning-foundations)
* [5 Personal Finance Tips ](https://www.linkedin.com/learning/5-personal-finance-tips)
* [Investment Evaluation ](https://www.linkedin.com/learning/investment-evaluation)
* [Managing Your Personal Investments ](https://www.linkedin.com/learning/managing-your-personal-investments)
* [Financial Wellness: Managing Personal Cash Flow ](https://www.linkedin.com/learning/financial-wellness-managing-personal-cash-flow)
* [Financial Wellness for Couples and Families ](https://www.linkedin.com/learning/financial-wellness-for-couples-and-families)
* [Managing Your Personal Finances ](https://www.linkedin.com/learning/managing-your-personal-finances)
* [Finance Foundations ](https://www.linkedin.com/learning/finance-foundations-2)
* [Entrepreneurship Foundations ](https://www.linkedin.com/learning/entrepreneurship-foundations-2)
* [Introduction to Deep Learning with OpenCV ](https://www.linkedin.com/learning/introduction-to-deep-learning-with-opencv)
* [OpenCV for Python Developers ](https://www.linkedin.com/learning/opencv-for-python-developers)
* [Brad Feld on Validating Your Startup Idea ](https://www.linkedin.com/learning/brad-feld-on-validating-your-startup-idea)
* [Brad Feld on Raising Capital ](https://www.linkedin.com/learning/brad-feld-on-raising-capital)
* [Take a More Creative Approach to Problem-Solving ](https://www.linkedin.com/learning/take-a-more-creative-approach-to-problem-solving)
* [Professional Networking ](https://www.linkedin.com/learning/professional-networking)
* [Building Relationships While Working from Home ](https://www.linkedin.com/learning/building-relationships-while-working-from-home)
* [Entrepreneurship: Raising Startup Capital ](https://www.linkedin.com/learning/entrepreneurship-raising-startup-capital)
* [Business Analysis Foundations: Business Process Modeling ](https://www.linkedin.com/learning/business-analysis-foundations-business-process-modeling)
* [Communicating with Confidence ](https://www.linkedin.com/learning/communicating-with-confidence)
* [Machine Learning for iOS Developers ](https://www.linkedin.com/learning/machine-learning-for-ios-developers)
###
Learning path
* [Stay Ahead in Personal Finance ](https://www.linkedin.com/learning/paths/stay-ahead-in-personal-finance)
* [Become a Small Business Owner ](https://www.linkedin.com/learning/paths/become-a-small-business-owner)
#
Completed
###
Reference
[https://drive.google.com/file/d/1xd5TZlEZnUUieXzw3Lxn3Sv7MwIajU_W/view?usp=sharing](https://drive.google.com/file/d/1xd5TZlEZnUUieXzw3Lxn3Sv7MwIajU_W/view?usp=sharing)
###
Link of best Groups
* [LinkedIn: Computer Vision, Deep Learning, Deep Reinforcement Learning, GANs, OpenCV, Caffe, TensorFlow,PyTorch](https://www.linkedin.com/groups/10320678/)
* [Source code](https://gitlab.com/pirahansiah)
* [Facebook : Deep Learning, Computer Vision, Robotics ](https://web.facebook.com/groups/185926728115336/)
* [The link to one-note notebook ](https://1drv.ms/u/s!AhG15hrdT9JOgR5GZgPjve65F-e5)
* [GitHub](https://github.com/pirahansiah)
###
Books
* [The Art of Startup Fundraising](https://www.amazon.de/-/en/Alejandro-Cremades-ebook/dp/B01DQ3GY3Y)
* [Mathematics for Machine Learning](https://mml-book.github.io/)
* Principles of Economics (6th edition)
* The E-Myth Revisited Why Most Small Businesses Don't Work and What to Do About It
* Clean Code: A Handbook of Agile Software Craftsmanship (Robert C. Martin)
* Reinventing Your Life: The Breakthough Program to End Negative Behavior
* Ways Of Thinking: The Limits Of Rational Thought And Artificial Intelligence
* [https://images.kw.com/docs/2/1/2/212345/1285134779158_htwfaip.pdf](https://images.kw.com/docs/2/1/2/212345/1285134779158_htwfaip.pdf)
* * [Computer Vision: Algorithms and Applications](http://szeliski.org/Book/)
* [Multiple View Geometry in Computer Vision Second Edition](https://www.robots.ox.ac.uk/~vgg/hzbook/)
* [Complete to download the latest draft of Machine Learning Yearning](https://www.deeplearning.ai/machine-learning-yearning/)
* Multiple view geometry in computer vision
* Learning OpenCV Book by Adrian Kaehler and Gary Bradski
* Digital Image Processing, Global Edition by Rafael C. Gonzalez
* Introduction to Algorithms, 3rd Edition (The MIT Press)
* The Mythical Man-Month: Essays on Software Engineering
* [OpenCV-4-with-Python-Blueprints-Second-Edition](https://github.com/PacktPublishing/OpenCV-4-with-Python-Blueprints-Second-Edition)
###
Videos
* [https://www.youtube.com/computervisiondeeplearning](https://www.youtube.com/computervisiondeeplearning)
* [Two Minute Papers](https://www.youtube.com/c/K%C3%A1rolyZsolnai/videos)
* [Conference on Pattern Recognition](https://www.gcpr-vmv-vcbm-2020.uni-tuebingen.de/)
* [https://researchseminars.org/?fbclid=IwAR0Ly9WLONBMBteYI7IhlRaMYR_rQR6YrpdxLG_sUxPxGYKQhB0SOTmcjgY](https://researchseminars.org/?fbclid=IwAR0Ly9WLONBMBteYI7IhlRaMYR_rQR6YrpdxLG_sUxPxGYKQhB0SOTmcjgY)
###
Papers
* CALTag: High Precision Fiducial Markers for Camera
* Diatom Autofocusing in Brightfield Microscopy: a Comparative Study
* Analysis of focus measure operators in shape-from-focus
* Optical flow modeling and computation: A survey
* Toward general type 2 fuzzy logic systems based on zSlices
###
Site
* [Research Tools By: Nader Ale Ebrahim](https://www.mindmeister.com/39583892/research-tools-by-nader-ale-ebrahim?t=HMmnzlA4zN) ([MindMap](https://www.mindmeister.com/39583892/research-tools-by-nader-ale-ebrahim?fullscreen=1#))
Reference-
ComputerVisionDeepLearning.pdf
* [https://virgool.io/@r_alimorady/easy-install-cuda-document-hhk6nuylvl1w](https://virgool.io/@r_alimorady/easy-install-cuda-document-hhk6nuylvl1w)
* [https://techcommunity.microsoft.com/t5/azure-ai/introducing-multivariate-anomaly-detection/ba-p/2260679](https://techcommunity.microsoft.com/t5/azure-ai/introducing-multivariate-anomaly-detection/ba-p/2260679)
* [https://www.freertos.org/index.html](https://www.freertos.org/index.html)
* [https://en.wikipedia.org/wiki/Knowledge_distillation](https://en.wikipedia.org/wiki/Knowledge_distillation)
* [https://80000hours.org/2015/10/startup-salaries-and-equity-compensation/](https://80000hours.org/2015/10/startup-salaries-and-equity-compensation/)
* [https://www.thecvf.com/?page_id=413](https://www.thecvf.com/?page_id=413)
* [https://levelup.gitconnected.com/s-o-l-i-d-principles-explained-in-python-with-examples-83b2b43bdcde?gi=a1fee170c917](https://levelup.gitconnected.com/s-o-l-i-d-principles-explained-in-python-with-examples-83b2b43bdcde?gi=a1fee170c917)
* [https://arxiv.org/pdf/2104.13921.pdf](https://arxiv.org/pdf/2104.13921.pdf)
* [https://blog.paperspace.com/object-detection-directed-mask-r-cnn-keras/](https://blog.paperspace.com/object-detection-directed-mask-r-cnn-keras/)
* [https://pub.towardsai.net/will-transformers-replace-cnns-in-computer-vision-55657a196833](https://pub.towardsai.net/will-transformers-replace-cnns-in-computer-vision-55657a196833)
* [https://medium.com/@daviddelaiglesiacastro/3d-point-cloud-generation-from-3d-triangular-mesh-bbb602ecf238](https://medium.com/@daviddelaiglesiacastro/3d-point-cloud-generation-from-3d-triangular-mesh-bbb602ecf238)
*
[https://koinly.io/](https://koinly.io/)
site map: octopus.do
[https://www.startupgermany.nrw/startup-
contest/](https://www.startupgermany.nrw/startup-contest/)
[https://www.kickstarter.com/projects/opencv/opencv-ai-kit-oak-depth-
camera-4k-cv-edge-object-
detection/description](https://www.kickstarter.com/projects/opencv/opencv-ai-
kit-oak-depth-camera-4k-cv-edge-object-detection/description)
[HOW I GAINED 68,000 SUBSCRIBERS IN A YEAR! | My Strategy to Grow on YouTube
in 2021! - YouTube
](https://www.youtube.com/watch?v=bwd1dQr33K8&list=PLxC08P2Oexy2EJKezV02N9cp3-qOEh79Z)
[https://www.youtube.com/watch?v=bwd1dQr33K8&list=PLxC08P2Oexy2EJKezV02N9cp3-qOEh79Z](https://www.youtube.com/watch?v=bwd1dQr33K8&list=PLxC08P2Oexy2EJKezV02N9cp3-qOEh79Z)
[https://www.youtube.com/watch?v=cFdApmqlllg](https://www.youtube.com/watch?v=cFdApmqlllg)
[محمد رضا شجریان، آلبوم کامل در خیال -
YouTube](https://www.youtube.com/watch?v=cFdApmqlllg)
[دوره جامع گوگل آنالیتیکس(UA) |
آنالیتیپس](https://analytips.io/product/google-analyticsua/)
[رادیوگیک - شماره ۱۲۱ - ما این لارادیوگیک - شماره ۱۲۱ - ما این لا -
YouTube](https://www.youtube.com/watch?v=dzBLhio-DIc)
[Social Selling Index | Sales
Navigator](https://www.linkedin.com/sales/ssi?src=or-
search&veh=www.google.com)
[https://rschu.me/list-a-directory-with-tree-command-on-mac-
os-x-3b2d4c4a4827](https://rschu.me/list-a-directory-with-tree-command-on-mac-
os-x-3b2d4c4a4827)
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* [Courses](/courses)
* [Machine Learning Specialization](/courses/machine-learning-specialization)
* [Machine Learning Foundations: A Case Study Approach](/courses/machine-learning-specialization/machine-learning-foundations-a-case-study-approach)
* [FSDL](/courses/fsdl)
* [Full Stack Deep Learning](/courses/full-stack-deep-learning)
* [MLOps](/courses/mlops)
* [ROS](/courses/ros)
* [Parallel Programming ](/courses/parallel-programming)
* [Modern CPP](/courses/modern-cpp)
* [Cloud-Native](/courses/cloud-native)
* [IoT Scholarship Foundation](/courses/iot-scholarship-foundation)
* [TensorFlow: Data and Deployment Specialization ](/courses/tensorflow-data-and-deployment-specialization)
* [Workshops and Events](/workshops-and-events)
* [RISC-V](/workshops-and-events/risc-v)
* [Edge-AI-summit](/workshops-and-events/edge-ai-summit)
* [Embedded IoT](/workshops-and-events/embedded-iot)
* [Tesla](/workshops-and-events/tesla)
* [AI-Hardware](/workshops-and-events/ai-hardware)
* [OpenVINO Deep Learning](/workshops-and-events/openvino-deep-learning)
* [Metaverse](/workshops-and-events/metaverse)
* [Workshops](/workshops-and-events/workshops)
* [IFA2022](/workshops-and-events/ifa2022)
* [Book Summary ](/book-summary)
* [commonplace book](/book-summary/commonplace-book)
* [knowledge_management](/book-summary/knowledge_management)
* [PKM](/book-summary/knowledge_management/pkm)
* [Topics and Projects](/topics-and-projects)
* [AI_Hub](/topics-and-projects/ai_hub)
* [ChatGPT](/topics-and-projects/chatgpt)
* [How to start](/topics-and-projects/how-to-start)
* [YouTube](/topics-and-projects/how-to-start/youtube)
* [YouTube II](/topics-and-projects/how-to-start/youtube-ii)
* [Software](/topics-and-projects/how-to-start/software)
* [Roadmap for Image Processing ](/topics-and-projects/how-to-start/roadmap-for-image-processing)
* [Source Code](/topics-and-projects/source-code)
* [OpenCV](/topics-and-projects/source-code/opencv)
* [CPP](/topics-and-projects/source-code/opencv/cpp)
* [python](/topics-and-projects/source-code/opencv/python)
* [MacOS+OpenCV](/topics-and-projects/source-code/opencv/macos-opencv)
* [Rust](/topics-and-projects/source-code/opencv/rust)
* [compile](/topics-and-projects/source-code/compile)
* [IoT](/topics-and-projects/source-code/iot)
* [Share](/topics-and-projects/share)
* [Video Tracking](/topics-and-projects/video-tracking)
* [Camera_Calibration](/topics-and-projects/camera_calibration)
* [DRL](/topics-and-projects/drl)
* [Hardware](/topics-and-projects/hardware)
* [Quantum Computing](/topics-and-projects/quantum-computing)
* [AltCoin](/topics-and-projects/altcoin)
* [Resume_CV](/topics-and-projects/resume_cv)
* [فارسی](/topics-and-projects/فارسی)
* [Apple](/topics-and-projects/apple)
* [startup](/topics-and-projects/startup)
* [Links](/links)
* [amazon](/links/amazon)
* [About](/about)
* [FQA](/about/fqa)
[Computer
Vision, Deep Learning, Artificial superintelligence (ASI)](/home)
# Links
pirahansiah, Personal, Roadmap, Books, Online Courses
[](https://drive.google.com/open?id=1ELXvmqcSciCK8-TUVsyVRnYTuxnKta-_xze-
oXQexwY "Open Spreadsheet, Links in new window")
Links
Links from my research and interest
AI in RISC-V
Mixed reality
Old Links
Reference
Link Groups
Top website
Python
Computer Vision
Documents
Business
Tools
Patents
Books
Journal Papers
Conference Papers
Articles on LinkedIn
Slides slideshare
Online Courses
Learning path
Completed
Reference
Link of best Groups
Books
Videos
Papers
Site
Efficient Video Dataset Loading and Augmentation in PyTorch for deep learning
training loops.
GitHub[ https://lnkd.in/gpR8idsp](https://lnkd.in/gpR8idsp)
[https://remmina.org/how-to-install-remmina/](https://remmina.org/how-to-
install-remmina/)
[https://readme.so/](https://readme.so/)
#
Links from my research and interest
[Build Better Generative Adversarial Networks (GANs) - Andrew Ng -
2021](https://www.youtube.com/playlist?list=PLuv1FSpHurUfl44GWqaCzEhGP-aP_-
VnF)
[https://www.oreilly.com/library/view/flow-
architectures/9781492075882/](https://www.oreilly.com/library/view/flow-
architectures/9781492075882/)
##
AI in RISC-V
* [RISC-V hardware & software ecosystem highlights in 2020](https://www.cnx-software.com/2020/12/10/risc-v-hardware-software-ecosystem-highlights-in-2020)
##
Mixed reality
* [https://github.com/MIT-SPARK/Kimera](https://github.com/MIT-SPARK/Kimera)
* Kimera is a C++ library for real-time metric-semantic simultaneous localization and mapping, which uses camera images and inertial data to build a semantically annotated 3D mesh of the environment. Kimera is modular, ROS-enabled, and runs on a CPU.
#
Old Links
###
Reference
[https://drive.google.com/file/d/1xd5TZlEZnUUieXzw3Lxn3Sv7MwIajU_W/view?usp=sharing](https://drive.google.com/file/d/1xd5TZlEZnUUieXzw3Lxn3Sv7MwIajU_W/view?usp=sharing)
###
Link Groups
* [LinkedIn: Computer Vision, Deep Learning, Deep Reinforcement Learning, GANs, OpenCV, Caffe, TensorFlow,PyTorch](https://www.linkedin.com/groups/10320678/)
* [Source code](https://gitlab.com/pirahansiah)
* [Facebook : Deep Learning, Computer Vision, Robotics ](https://web.facebook.com/groups/185926728115336/)
* [The link to one-note notebook ](https://1drv.ms/u/s!AhG15hrdT9JOgR5GZgPjve65F-e5)
* [GitHub](https://github.com/pirahansiah)
###
Top website
* [https://paperswithcode.com/](https://paperswithcode.com/)
* [https://www.learnthepart.com/](https://www.learnthepart.com/)
* [https://hackaday.com/](https://hackaday.com/)
* [https://medium.com/@pirahansiah/timesaver-626019137fa9?sk=cde3334919d6c16ba0964fe021a24762](https://medium.com/@pirahansiah/timesaver-626019137fa9?sk=cde3334919d6c16ba0964fe021a24762)
* hbrew install youtube-dl
* [https://www.masterclass.com/](https://www.masterclass.com/)
* [Deep Learning for coders (2020)](https://www.youtube.com/user/howardjeremyp)
* [Deep Learning for Video](https://mcv-m6-video.github.io/deepvideo-2019/) (Master in Computer Vision Barcelona)
* [Augmented Reality using ArUco Markers in OpenCV (C++ / Python)](https://www.learnopencv.com/augmented-reality-using-aruco-markers-in-opencv-c-python/)
* [https://explainshell.com/](https://explainshell.com/)
* [https://stackoverflow.blog/2020/02/12/when-laziness-is-efficient-make-the-most-of-your-command-line/](https://stackoverflow.blog/2020/02/12/when-laziness-is-efficient-make-the-most-of-your-command-line/?utm_source=Iterable&utm_medium=email&utm_campaign=the_overflow_newsletter&utm_content=02-19-20)
* [https://link.medium.com/XA49Ke0Jt4](https://link.medium.com/XA49Ke0Jt4)
* [https://link.medium.com/Np0YEy1Jt4](https://link.medium.com/Np0YEy1Jt4)
###
Python
* [How to Write Beautiful Python Code With PEP 8](https://realpython.com/python-pep8/)
* [PEP 622 -- Structural Pattern Matching](https://www.python.org/dev/peps/pep-0622/)
* [Monitor Your Dependencies! Stop Being A Blind Data-Scientist.](https://towardsdatascience.com/monitor-your-dependencies-stop-being-a-blind-data-scientist-a3150bd64594)
###
Computer Vision
* [Hybrid CV/DL pipelines with OpenCV 4.4 G-API](https://opencv.org/hybrid-cv-dl-pipelines-with-opencv-4-4-g-api/)
* [PaddleDetection is an end-to-end object detection development kit based on PaddlePaddle, which aims to help developers in the whole development of training models, optimizing performance and inference speed, and deploying models. ](https://github.com/PaddlePaddle/PaddleDetection/blob/release/0.4/README_en.md)
* [https://github.com/google/mediapipe](https://github.com/google/mediapipe)
###
Documents
* [https://book.keybase.io/docs](https://book.keybase.io/docs)
* [kind is a tool for running local Kubernetes clusters using Docker container "nodes".](https://github.com/kubernetes-sigs/kind)
* [FINN is an experimental framework from Xilinx Research Labs to explore deep neural network inference on FPGAs. ](https://xilinx.github.io/finn/)
* [Gitter is a chat and networking platform that helps to manage, grow and connect communities through messaging, content and discovery.](https://gitter.im/)
* [Fair and useful benchmarks for measuring training and inference performance of ML hardware, software, and services.](https://mlperf.org/)
* [https://kepler.gl/demo](https://kepler.gl/demo)
* [Open source, highly available Prometheus setup with long term storage capabilities.](https://thanos.io/)
* [Deep Learning Design Patterns - Jr Data Scientist - Part 3 - Alternative Connectivity Patterns](https://www.youtube.com/watch?v=JI-MButCqUE)
###
Business
* [5 Ways to Make More Money as a Coach or Consultant](https://www.entrepreneur.com/article/283006)
* [https://www.youtube.com/watch?v=njx09wXb9o0&list=PLnhdsL4kFmVYMNq6F8k8UiFkc6fwIdk3o&index=5](https://www.youtube.com/watch?v=njx09wXb9o0&list=PLnhdsL4kFmVYMNq6F8k8UiFkc6fwIdk3o&index=5)
###
Tools
* Free convert video for mac opensource
* [https://github.com/HandBrake/HandBrake](https://github.com/HandBrake/HandBrake)
* [https://handbrake.fr/rotation.php?file=HandBrake-1.3.3.dmg](https://handbrake.fr/rotation.php?file=HandBrake-1.3.3.dmg)
* [global-gitignore.md](https://gist.github.com/subfuzion/db7f57fff2fb6998a16c)
* [https://nextbillion.ai/](https://nextbillion.ai/) Mapping platform built for enterprises
* [https://github.com/ondras/my-mind](https://github.com/ondras/my-mind) MindMap
* [Create and share beautiful images of your source code.](https://carbon.now.sh/)
* [Web IDE](https://replit.com/templates)
* [https://github.com/jely2002/youtube-dl-gui/releases/tag/v2.2.2](https://github.com/jely2002/youtube-dl-gui/releases/tag/v2.2.2)
###
Patents
[https://patents.google.com/?inventor=pirahansiah&oq=pirahansiah](https://patents.google.com/?inventor=pirahansiah&oq=pirahansiah)
1. System and method for providing advertisement contents based on facial analysis (WO2020141969A2)
2. A method for augmenting a plurality of face images (WO2021060971A1)
3. A method for detecting a moving vehicle (WO2021107761A1)
1. System and method for providing advertisement contents based on facial analysis (WO2020141969A2)
The present invention relates to a system (100) for providing advertisement
contents based on facial analysis comprising an image acquisition device (10)
to acquire an image of a user, a face detection module (20) to detect face of
the user in the image, an analysis module (40) to analyse the facial features
statistically using classification models retrieved from a classification
module (30), a database (60) to store matching rules, weighted advertisements
and a plurality of advertisement contents; and a display device (80) to
display the advertisement contents. The system (100) further comprises a
computation module (50) to compute weighted image of the user and a matching
module (70) to match the weighted image of the user with the weighted
advertisement to select an advertisement content based on facial analysis of
the user. A method of providing the advertisement contents based on facial
analysis is also provided thereof.
[https://patentimages.storage.googleapis.com/ff/3f/a5/e7b42ef58d8a03/WO2020141969A2.pdf](https://patentimages.storage.googleapis.com/ff/3f/a5/e7b42ef58d8a03/WO2020141969A2.pdf)
2. A method for augmenting a plurality of face images (WO2021060971A1)
The present invention relates to a method for increasing data for face
analysis in video surveillance. The method comprises the steps of acquiring at
least one face image from an image acquisition module (102), acquiring a
plurality of face images available on the internet using a data input module
(104), increasing face images by at least one data augmentation module (106
and 107), generating a plurality of face images based on a trained Generative
Adversarial Network, GAN technique by using a GAN module, selecting proper
images based on quality of the face images using a fuzzy logic module (111),
saving the selected images into a fifth database, and training the deep
learning module (113).
[https://patentimages.storage.googleapis.com/b8/d9/7f/ea8a5b789e1dad/WO2021060971A1.pdf](https://patentimages.storage.googleapis.com/b8/d9/7f/ea8a5b789e1dad/WO2021060971A1.pdf)
3. A method for detecting a moving vehicle (WO2021107761A1)
The present invention relates to a method for detecting a moving vehicle. The
method comprises the steps of grabbing an initial image from a video stream by
a vehicle detection module (1100), wherein the vehicle detection module (1100)
is a part of a system (1000) to identify moving vehicle, enhancing the
illumination of the initial image by the vehicle detection module (1100),
enhancing the edges within the initial image by the vehicle detection module
(1100), and finding vehicle based on homogenous properties of the body of the
vehicle by the vehicle detection module (1100). The step of finding vehicle
based on homogenous property of the body of the vehicle by the vehicle
detection module (1100) further comprising the sub-steps of closing open
edges, inverting the binary image, segmenting an inverted binary image,
filtering the noise based on geometric feature, and filtering the noise based
on relation.
[https://patentimages.storage.googleapis.com/16/41/83/2576e20c4a0af5/WO2021107761A1.pdf](https://patentimages.storage.googleapis.com/16/41/83/2576e20c4a0af5/WO2021107761A1.pdf)
###
Books
1. [book chapter titled “Camera Calibration and Video Stabilization Framework for Robot Localization” in the Book entitled “Control Engineering in Robotics and Industrial Automation" which will be published (24/07/2021) in Springer. ](https://www.waterstones.com/book/control-engineering-in-robotics-and-industrial-automation/muralindran-mariappan/mohd-rizal-arshad/9783030745394)
2. [book chapter titled “Augmented Optical Flow Methods for Video Stabilization", In Computational Intelligence: from theory to application. (2017) (p18). ](http://www.ukm.my/penerbit/penerbitan-2017/)
###
Journal Papers
* Using An Ant Colony Optimization Algorithm For Image Edge Detection As A Threshold Segmentation For OCR System Journal of Theoretical & Applied Information Technology, 95(21)
* * [http://www.jatit.org/volumes/Vol95No21/1Vol95No21.pdf](http://www.jatit.org/volumes/Vol95No21/1Vol95No21.pdf)
* GSFT-PSNR: Global Single Fuzzy Threshold Based on PSNR for OCR Systems, International Journal of Computer Science and Network Solutions 4(6)
* * [https://www.ijcsns.com/June.2016-Volume.4-No.6/Article01.pdf](https://www.ijcsns.com/June.2016-Volume.4-No.6/Article01.pdf)
* Adaptive Image Thresholding based On the Peak Signal-To-Noise Ratio, Research Journal of Applied Sciences, Engineering and Technology 8(9).
* * [http://www.academia.edu/download/44161592/Adaptive_Image_Thresholding_Based_on_the20160328-31366-1wyb1jc.pdf](http://www.academia.edu/download/44161592/Adaptive_Image_Thresholding_Based_on_the20160328-31366-1wyb1jc.pdf)
* Simultaneous Localization and Mapping Trends and Humanoid Robot Linkages, Asia-Pacific Journal of Information Technology and Multimedia (APJITM)
* * [http://journalarticle.ukm.my/6644/1/4429-10302-1-SM.pdf](http://journalarticle.ukm.my/6644/1/4429-10302-1-SM.pdf)
* Peak Signal-To-Noise Ratio Based On Threshold Method for Image Segmentation, Journal of Theoretical & Applied Information Technology, 57(2)
* * [http://www.jatit.org/volumes/Vol57No2/4Vol57No2.pdf](http://www.jatit.org/volumes/Vol57No2/4Vol57No2.pdf)
* Character recognition based on global feature extraction; Journal of Theoretical and Applied Information Technology 52
* * [http://www.jatit.org/volumes/Vol52No2/6Vol52No2.pdf](http://www.jatit.org/volumes/Vol52No2/6Vol52No2.pdf)
###
Conference Papers
* Pattern Image Significance for Camera Calibration, IEEE Student Conference on Research and Development (SCOReD 2017)
* [http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8305440&isnumber=8305342](http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8305440&isnumber=8305342)
* Augmented optical flow methods for video stabilization. 4th Artificial Intelligence Technology Postgraduate Seminar (CAITPS 2015)
* [http://www.academia.edu/download/45596617/farshid.pdf](http://www.academia.edu/download/45596617/farshid.pdf)
* Auto-Calibration for Multi-Modal Robot Vision based on Image Quality Assessment, The 10th Asian Control Conference (ASCC 2015)
* [https://doi.org/10.1109/ASCC.2015.7360336](https://doi.org/10.1109/ASCC.2015.7360336)
* 2D versus 3D Map for Environment Movement Objects, Second National Doctoral Seminar in Artificial Intelligence Technology (CAIT 2012)
* [http://www.ftsm.ukm.my/cait2012/images/Program%20Schedule%20CAIT2012.pdf](http://www.ftsm.ukm.my/cait2012/images/Program%20Schedule%20CAIT2012.pdf)
* Comparison Single Thresholding Method for Image Segmentation on Handwritten Images, International Conference on Pattern Analysis and Intelligent Robotics
* [https://doi.org/10.1109/ICPAIR.2011.5976918](https://doi.org/10.1109/ICPAIR.2011.5976918)
* License Plate Recognition with Multi-Threshold Based on Entropy, 3rd International Conference on Electrical Engineering and Informatics (ICEEI 2011)
* [https://doi.org/10.1109/ICEEI.2011.6021627](https://doi.org/10.1109/ICEEI.2011.6021627)
* Character recognition based on global feature extraction, 3rd International Conference On Electrical Engineering and Informatics (ICEEI 2011)
* [https://pdfs.semanticscholar.org/2d22/66bfb2f5ba5cb40b5946b82c620dc713d793.pdf](https://pdfs.semanticscholar.org/2d22/66bfb2f5ba5cb40b5946b82c620dc713d793.pdf)
* [https://doi.org/10.1109/ICEEI.2011.6021649](https://doi.org/10.1109/ICEEI.2011.6021649)
* Tafresh Grid: Grid computing in Tafresh university," 2011 IEEE 3rd International Conference on Communication Software and Networks, Xi'an, 2011, pp. 83-85.
* [http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6014009&isnumber=6013532](http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6014009&isnumber=6013532)
* Adaptive image segmentation based on Peak Signal to Noise Ratio for a license plate Recognition system, International Conference on Computer Applications and Industrial Electronics (ICCAIE 2010)
* [https://doi.org/10.1109/ICCAIE.2010.5735125](https://doi.org/10.1109/ICCAIE.2010.5735125)
* [http://www.academia.edu/download/44161592/Adaptive_Image_Thresholding_Based_on_the20160328-31366-1wyb1jc.pdf](http://www.academia.edu/download/44161592/Adaptive_Image_Thresholding_Based_on_the20160328-31366-1wyb1jc.pdf)
* Multi-threshold approach for license plate recognition system, International Conference on Signal and Image Processing WASET ICSIP 2010:1046-1050
* [http://waset.org/publications/3636](http://waset.org/publications/3636)
* An evaluation of classification techniques using enhanced Geometrical Topological Feature Analysis, 2nd Malaysian Joint Conference on Artificial Intelligence (MJCAI 2010)
* [https://scholar.google.com/scholar?oi=bibs&cluster=3038184255311332521&btnI=1&hl=en](https://scholar.google.com/scholar?oi=bibs&cluster=3038184255311332521&btnI=1&hl=en)
###
Articles on LinkedIn
* [ADRL: Advanced Deep Reinforcement Learning {Patents and papers; Main point summary on recently published research on DRL} (draft version Feb 2019) ]([https://www.linkedin.com/pulse/patents-papers-adrl-advanced-deep-reinforcement-feb-pirahansiah-phd/](https://www.linkedin.com/pulse/patents-papers-adrl-advanced-deep-reinforcement-feb-pirahansiah-phd/))
* [The most important research papers for deep learning (updated December, 2017)]([https://www.linkedin.com/pulse/most-important-research-papers-deep-learning-updated-2017-farshid/](https://www.linkedin.com/pulse/most-important-research-papers-deep-learning-updated-2017-farshid/) )
* [List of useful links (Videos, Slides, Articles) for Deep Learning ]([https://www.linkedin.com/pulse/list-useful-links-videos-slides-articles-deep-farshid-pirahansiah/](https://www.linkedin.com/pulse/list-useful-links-videos-slides-articles-deep-farshid-pirahansiah/))
* [Autonomous driving vehicles (Computer Vision, Deep Learning)]([https://www.linkedin.com/pulse/autonomous-driving-vehicles-computer-vision-deep-farshid-pirahansiah-1/](https://www.linkedin.com/pulse/autonomous-driving-vehicles-computer-vision-deep-farshid-pirahansiah-1/)
* [Thresholding]([https://www.linkedin.com/pulse/thresholding-farshid-pirahansiah/](https://www.linkedin.com/pulse/thresholding-farshid-pirahansiah/)
###
Slides slideshare
* Deep Learning for Computer Vision in Ubuntu 19; Part 1 installation [Link]([https://www.slideshare.net/pirahansiah/deep-learning-for-computer-vision-in-ubuntu-19-part-1-installation](https://www.slideshare.net/pirahansiah/deep-learning-for-computer-vision-in-ubuntu-19-part-1-installation)
* Using Deep Learning for Computer Vision Applications [Link]([https://www.slideshare.net/pirahansiah/using-deep-learning-for-computer-vision-applications](https://www.slideshare.net/pirahansiah/using-deep-learning-for-computer-vision-applications) )
* tensorflow1.3 digits6.0 Caffe [Link]([https://www.slideshare.net/pirahansiah/farshid-tensorflow13-digits60caffe](https://www.slideshare.net/pirahansiah/farshid-tensorflow13-digits60caffe) )
* Install TensorFlow 1.2 on macOS Sierra on MacBook (June 2017) [Link]([https://www.slideshare.net/pirahansiah/install-tensorflow-12-on-macos-sierra-on-macbook-june-2017](https://www.slideshare.net/pirahansiah/install-tensorflow-12-on-macos-sierra-on-macbook-june-2017) )
* Best Deep Learning Post from LinkedIn Group [Link]([https://www.slideshare.net/pirahansiah/best-deep-learning-post-from-linkedin-group](https://www.slideshare.net/pirahansiah/best-deep-learning-post-from-linkedin-group) )
* Install, Compile, Setup, Setting OpenCV 3.2, Visual C++ 2015, Win 64bit [Link]([https://www.slideshare.net/pirahansiah/install-compile-setup-setting-opencv-32-visual-c-2015-win-64bit](https://www.slideshare.net/pirahansiah/install-compile-setup-setting-opencv-32-visual-c-2015-win-64bit) )
* Layers in Deep Learning&Caffe layers (model architecture ) [Link]([https://www.slideshare.net/pirahansiah/layers-in-deep-learningcaffe-layers-model-architecture](https://www.slideshare.net/pirahansiah/layers-in-deep-learningcaffe-layers-model-architecture) )
* How to install Digits 5.1 on Ubuntu 14 [Link]([https://www.slideshare.net/pirahansiah/how-to-install-digits-51-on-ubuntu-14](https://www.slideshare.net/pirahansiah/how-to-install-digits-51-on-ubuntu-14) )
* Deep Learning for Video Analysis – part 1 (DeepStream SDK) [NVIDIA TensorRT || NVIDIA GPU Inference Engine (GIE)] [Link]([https://www.slideshare.net/pirahansiah/deep-learning-for-video-analysis-part-1-deepstream-sdk-nvidia-tensorrt-nvidia-gpu-inference-engine-gie](https://www.slideshare.net/pirahansiah/deep-learning-for-video-analysis-part-1-deepstream-sdk-nvidia-tensorrt-nvidia-gpu-inference-engine-gie) )
* Computer Vision, Deep Learning, OpenCV [Link]([https://www.slideshare.net/pirahansiah/computer-vision-deep-learning-opencv](https://www.slideshare.net/pirahansiah/computer-vision-deep-learning-opencv) )
###
Online Courses
* [Writing with Impact ](https://www.linkedin.com/learning/writing-with-impact)
* [Balancing Work and Life ](https://www.linkedin.com/learning/balancing-work-and-life)
* [Finance Foundations: Income Taxes ](https://www.linkedin.com/learning/finance-foundations-income-taxes-2)
* [Starting a Business with Family and Friends ](https://www.linkedin.com/learning/starting-a-business-with-family-and-friends)
* [Finance Essentials for Small Business ](https://www.linkedin.com/learning/finance-essentials-for-small-business)
* [Setting Up Your Small Business as a Legal Entity ](https://www.linkedin.com/learning/setting-up-your-small-business-as-a-legal-entity)
* [Creating a Business Plan ](https://www.linkedin.com/learning/creating-a-business-plan-2)
* [Understanding Business ](https://www.linkedin.com/learning/understanding-business)
* [Entrepreneurship: Finding and Testing Your Business Idea ](https://www.linkedin.com/learning/entrepreneurship-finding-and-testing-your-business-idea)
* [Guy Kawasaki on Entrepreneurship ](https://www.linkedin.com/learning/guy-kawasaki-on-entrepreneurship)
* [Financial Modeling Foundations ](https://www.linkedin.com/learning/financial-modeling-foundations)
* [Financial Accounting Foundations ](https://www.linkedin.com/learning/financial-accounting-foundations)
* [Strategic Planning Foundations ](https://www.linkedin.com/learning/strategic-planning-foundations)
* [5 Personal Finance Tips ](https://www.linkedin.com/learning/5-personal-finance-tips)
* [Investment Evaluation ](https://www.linkedin.com/learning/investment-evaluation)
* [Managing Your Personal Investments ](https://www.linkedin.com/learning/managing-your-personal-investments)
* [Financial Wellness: Managing Personal Cash Flow ](https://www.linkedin.com/learning/financial-wellness-managing-personal-cash-flow)
* [Financial Wellness for Couples and Families ](https://www.linkedin.com/learning/financial-wellness-for-couples-and-families)
* [Managing Your Personal Finances ](https://www.linkedin.com/learning/managing-your-personal-finances)
* [Finance Foundations ](https://www.linkedin.com/learning/finance-foundations-2)
* [Entrepreneurship Foundations ](https://www.linkedin.com/learning/entrepreneurship-foundations-2)
* [Introduction to Deep Learning with OpenCV ](https://www.linkedin.com/learning/introduction-to-deep-learning-with-opencv)
* [OpenCV for Python Developers ](https://www.linkedin.com/learning/opencv-for-python-developers)
* [Brad Feld on Validating Your Startup Idea ](https://www.linkedin.com/learning/brad-feld-on-validating-your-startup-idea)
* [Brad Feld on Raising Capital ](https://www.linkedin.com/learning/brad-feld-on-raising-capital)
* [Take a More Creative Approach to Problem-Solving ](https://www.linkedin.com/learning/take-a-more-creative-approach-to-problem-solving)
* [Professional Networking ](https://www.linkedin.com/learning/professional-networking)
* [Building Relationships While Working from Home ](https://www.linkedin.com/learning/building-relationships-while-working-from-home)
* [Entrepreneurship: Raising Startup Capital ](https://www.linkedin.com/learning/entrepreneurship-raising-startup-capital)
* [Business Analysis Foundations: Business Process Modeling ](https://www.linkedin.com/learning/business-analysis-foundations-business-process-modeling)
* [Communicating with Confidence ](https://www.linkedin.com/learning/communicating-with-confidence)
* [Machine Learning for iOS Developers ](https://www.linkedin.com/learning/machine-learning-for-ios-developers)
###
Learning path
* [Stay Ahead in Personal Finance ](https://www.linkedin.com/learning/paths/stay-ahead-in-personal-finance)
* [Become a Small Business Owner ](https://www.linkedin.com/learning/paths/become-a-small-business-owner)
#
Completed
###
Reference
[https://drive.google.com/file/d/1xd5TZlEZnUUieXzw3Lxn3Sv7MwIajU_W/view?usp=sharing](https://drive.google.com/file/d/1xd5TZlEZnUUieXzw3Lxn3Sv7MwIajU_W/view?usp=sharing)
###
Link of best Groups
* [LinkedIn: Computer Vision, Deep Learning, Deep Reinforcement Learning, GANs, OpenCV, Caffe, TensorFlow,PyTorch](https://www.linkedin.com/groups/10320678/)
* [Source code](https://gitlab.com/pirahansiah)
* [Facebook : Deep Learning, Computer Vision, Robotics ](https://web.facebook.com/groups/185926728115336/)
* [The link to one-note notebook ](https://1drv.ms/u/s!AhG15hrdT9JOgR5GZgPjve65F-e5)
* [GitHub](https://github.com/pirahansiah)
###
Books
* [The Art of Startup Fundraising](https://www.amazon.de/-/en/Alejandro-Cremades-ebook/dp/B01DQ3GY3Y)
* [Mathematics for Machine Learning](https://mml-book.github.io/)
* Principles of Economics (6th edition)
* The E-Myth Revisited Why Most Small Businesses Don't Work and What to Do About It
* Clean Code: A Handbook of Agile Software Craftsmanship (Robert C. Martin)
* Reinventing Your Life: The Breakthough Program to End Negative Behavior
* Ways Of Thinking: The Limits Of Rational Thought And Artificial Intelligence
* [https://images.kw.com/docs/2/1/2/212345/1285134779158_htwfaip.pdf](https://images.kw.com/docs/2/1/2/212345/1285134779158_htwfaip.pdf)
* * [Computer Vision: Algorithms and Applications](http://szeliski.org/Book/)
* [Multiple View Geometry in Computer Vision Second Edition](https://www.robots.ox.ac.uk/~vgg/hzbook/)
* [Complete to download the latest draft of Machine Learning Yearning](https://www.deeplearning.ai/machine-learning-yearning/)
* Multiple view geometry in computer vision
* Learning OpenCV Book by Adrian Kaehler and Gary Bradski
* Digital Image Processing, Global Edition by Rafael C. Gonzalez
* Introduction to Algorithms, 3rd Edition (The MIT Press)
* The Mythical Man-Month: Essays on Software Engineering
* [OpenCV-4-with-Python-Blueprints-Second-Edition](https://github.com/PacktPublishing/OpenCV-4-with-Python-Blueprints-Second-Edition)
###
Videos
* [https://www.youtube.com/computervisiondeeplearning](https://www.youtube.com/computervisiondeeplearning)
* [Two Minute Papers](https://www.youtube.com/c/K%C3%A1rolyZsolnai/videos)
* [Conference on Pattern Recognition](https://www.gcpr-vmv-vcbm-2020.uni-tuebingen.de/)
* [https://researchseminars.org/?fbclid=IwAR0Ly9WLONBMBteYI7IhlRaMYR_rQR6YrpdxLG_sUxPxGYKQhB0SOTmcjgY](https://researchseminars.org/?fbclid=IwAR0Ly9WLONBMBteYI7IhlRaMYR_rQR6YrpdxLG_sUxPxGYKQhB0SOTmcjgY)
###
Papers
* CALTag: High Precision Fiducial Markers for Camera
* Diatom Autofocusing in Brightfield Microscopy: a Comparative Study
* Analysis of focus measure operators in shape-from-focus
* Optical flow modeling and computation: A survey
* Toward general type 2 fuzzy logic systems based on zSlices
###
Site
* [Research Tools By: Nader Ale Ebrahim](https://www.mindmeister.com/39583892/research-tools-by-nader-ale-ebrahim?t=HMmnzlA4zN) ([MindMap](https://www.mindmeister.com/39583892/research-tools-by-nader-ale-ebrahim?fullscreen=1#))
Reference-
ComputerVisionDeepLearning.pdf
* [https://virgool.io/@r_alimorady/easy-install-cuda-document-hhk6nuylvl1w](https://virgool.io/@r_alimorady/easy-install-cuda-document-hhk6nuylvl1w)
* [https://techcommunity.microsoft.com/t5/azure-ai/introducing-multivariate-anomaly-detection/ba-p/2260679](https://techcommunity.microsoft.com/t5/azure-ai/introducing-multivariate-anomaly-detection/ba-p/2260679)
* [https://www.freertos.org/index.html](https://www.freertos.org/index.html)
* [https://en.wikipedia.org/wiki/Knowledge_distillation](https://en.wikipedia.org/wiki/Knowledge_distillation)
* [https://80000hours.org/2015/10/startup-salaries-and-equity-compensation/](https://80000hours.org/2015/10/startup-salaries-and-equity-compensation/)
* [https://www.thecvf.com/?page_id=413](https://www.thecvf.com/?page_id=413)
* [https://levelup.gitconnected.com/s-o-l-i-d-principles-explained-in-python-with-examples-83b2b43bdcde?gi=a1fee170c917](https://levelup.gitconnected.com/s-o-l-i-d-principles-explained-in-python-with-examples-83b2b43bdcde?gi=a1fee170c917)
* [https://arxiv.org/pdf/2104.13921.pdf](https://arxiv.org/pdf/2104.13921.pdf)
* [https://blog.paperspace.com/object-detection-directed-mask-r-cnn-keras/](https://blog.paperspace.com/object-detection-directed-mask-r-cnn-keras/)
* [https://pub.towardsai.net/will-transformers-replace-cnns-in-computer-vision-55657a196833](https://pub.towardsai.net/will-transformers-replace-cnns-in-computer-vision-55657a196833)
* [https://medium.com/@daviddelaiglesiacastro/3d-point-cloud-generation-from-3d-triangular-mesh-bbb602ecf238](https://medium.com/@daviddelaiglesiacastro/3d-point-cloud-generation-from-3d-triangular-mesh-bbb602ecf238)
*
[https://koinly.io/](https://koinly.io/)
site map: octopus.do
[https://www.startupgermany.nrw/startup-
contest/](https://www.startupgermany.nrw/startup-contest/)
[https://www.kickstarter.com/projects/opencv/opencv-ai-kit-oak-depth-
camera-4k-cv-edge-object-
detection/description](https://www.kickstarter.com/projects/opencv/opencv-ai-
kit-oak-depth-camera-4k-cv-edge-object-detection/description)
[HOW I GAINED 68,000 SUBSCRIBERS IN A YEAR! | My Strategy to Grow on YouTube
in 2021! - YouTube
](https://www.youtube.com/watch?v=bwd1dQr33K8&list=PLxC08P2Oexy2EJKezV02N9cp3-qOEh79Z)
[https://www.youtube.com/watch?v=bwd1dQr33K8&list=PLxC08P2Oexy2EJKezV02N9cp3-qOEh79Z](https://www.youtube.com/watch?v=bwd1dQr33K8&list=PLxC08P2Oexy2EJKezV02N9cp3-qOEh79Z)
[https://www.youtube.com/watch?v=cFdApmqlllg](https://www.youtube.com/watch?v=cFdApmqlllg)
[محمد رضا شجریان، آلبوم کامل در خیال -
YouTube](https://www.youtube.com/watch?v=cFdApmqlllg)
[دوره جامع گوگل آنالیتیکس(UA) |
آنالیتیپس](https://analytips.io/product/google-analyticsua/)
[رادیوگیک - شماره ۱۲۱ - ما این لارادیوگیک - شماره ۱۲۱ - ما این لا -
YouTube](https://www.youtube.com/watch?v=dzBLhio-DIc)
[Social Selling Index | Sales
Navigator](https://www.linkedin.com/sales/ssi?src=or-
search&veh=www.google.com)
[https://rschu.me/list-a-directory-with-tree-command-on-mac-
os-x-3b2d4c4a4827](https://rschu.me/list-a-directory-with-tree-command-on-mac-
os-x-3b2d4c4a4827)
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# Links
pirahansiah, Personal, Roadmap, Books, Online Courses
[](https://drive.google.com/open?id=1ELXvmqcSciCK8-TUVsyVRnYTuxnKta-_xze-
oXQexwY "Open Spreadsheet, Links in new window")
Links
Links from my research and interest
AI in RISC-V
Mixed reality
Old Links
Reference
Link Groups
Top website
Python
Computer Vision
Documents
Business
Tools
Patents
Books
Journal Papers
Conference Papers
Articles on LinkedIn
Slides slideshare
Online Courses
Learning path
Completed
Reference
Link of best Groups
Books
Videos
Papers
Site
Efficient Video Dataset Loading and Augmentation in PyTorch for deep learning
training loops.
GitHub[ https://lnkd.in/gpR8idsp](https://lnkd.in/gpR8idsp)
[https://remmina.org/how-to-install-remmina/](https://remmina.org/how-to-
install-remmina/)
[https://readme.so/](https://readme.so/)
#
Links from my research and interest
[Build Better Generative Adversarial Networks (GANs) - Andrew Ng -
2021](https://www.youtube.com/playlist?list=PLuv1FSpHurUfl44GWqaCzEhGP-aP_-
VnF)
[https://www.oreilly.com/library/view/flow-
architectures/9781492075882/](https://www.oreilly.com/library/view/flow-
architectures/9781492075882/)
##
AI in RISC-V
* [RISC-V hardware & software ecosystem highlights in 2020](https://www.cnx-software.com/2020/12/10/risc-v-hardware-software-ecosystem-highlights-in-2020)
##
Mixed reality
* [https://github.com/MIT-SPARK/Kimera](https://github.com/MIT-SPARK/Kimera)
* Kimera is a C++ library for real-time metric-semantic simultaneous localization and mapping, which uses camera images and inertial data to build a semantically annotated 3D mesh of the environment. Kimera is modular, ROS-enabled, and runs on a CPU.
#
Old Links
###
Reference
[https://drive.google.com/file/d/1xd5TZlEZnUUieXzw3Lxn3Sv7MwIajU_W/view?usp=sharing](https://drive.google.com/file/d/1xd5TZlEZnUUieXzw3Lxn3Sv7MwIajU_W/view?usp=sharing)
###
Link Groups
* [LinkedIn: Computer Vision, Deep Learning, Deep Reinforcement Learning, GANs, OpenCV, Caffe, TensorFlow,PyTorch](https://www.linkedin.com/groups/10320678/)
* [Source code](https://gitlab.com/pirahansiah)
* [Facebook : Deep Learning, Computer Vision, Robotics ](https://web.facebook.com/groups/185926728115336/)
* [The link to one-note notebook ](https://1drv.ms/u/s!AhG15hrdT9JOgR5GZgPjve65F-e5)
* [GitHub](https://github.com/pirahansiah)
###
Top website
* [https://paperswithcode.com/](https://paperswithcode.com/)
* [https://www.learnthepart.com/](https://www.learnthepart.com/)
* [https://hackaday.com/](https://hackaday.com/)
* [https://medium.com/@pirahansiah/timesaver-626019137fa9?sk=cde3334919d6c16ba0964fe021a24762](https://medium.com/@pirahansiah/timesaver-626019137fa9?sk=cde3334919d6c16ba0964fe021a24762)
* hbrew install youtube-dl
* [https://www.masterclass.com/](https://www.masterclass.com/)
* [Deep Learning for coders (2020)](https://www.youtube.com/user/howardjeremyp)
* [Deep Learning for Video](https://mcv-m6-video.github.io/deepvideo-2019/) (Master in Computer Vision Barcelona)
* [Augmented Reality using ArUco Markers in OpenCV (C++ / Python)](https://www.learnopencv.com/augmented-reality-using-aruco-markers-in-opencv-c-python/)
* [https://explainshell.com/](https://explainshell.com/)
* [https://stackoverflow.blog/2020/02/12/when-laziness-is-efficient-make-the-most-of-your-command-line/](https://stackoverflow.blog/2020/02/12/when-laziness-is-efficient-make-the-most-of-your-command-line/?utm_source=Iterable&utm_medium=email&utm_campaign=the_overflow_newsletter&utm_content=02-19-20)
* [https://link.medium.com/XA49Ke0Jt4](https://link.medium.com/XA49Ke0Jt4)
* [https://link.medium.com/Np0YEy1Jt4](https://link.medium.com/Np0YEy1Jt4)
###
Python
* [How to Write Beautiful Python Code With PEP 8](https://realpython.com/python-pep8/)
* [PEP 622 -- Structural Pattern Matching](https://www.python.org/dev/peps/pep-0622/)
* [Monitor Your Dependencies! Stop Being A Blind Data-Scientist.](https://towardsdatascience.com/monitor-your-dependencies-stop-being-a-blind-data-scientist-a3150bd64594)
###
Computer Vision
* [Hybrid CV/DL pipelines with OpenCV 4.4 G-API](https://opencv.org/hybrid-cv-dl-pipelines-with-opencv-4-4-g-api/)
* [PaddleDetection is an end-to-end object detection development kit based on PaddlePaddle, which aims to help developers in the whole development of training models, optimizing performance and inference speed, and deploying models. ](https://github.com/PaddlePaddle/PaddleDetection/blob/release/0.4/README_en.md)
* [https://github.com/google/mediapipe](https://github.com/google/mediapipe)
###
Documents
* [https://book.keybase.io/docs](https://book.keybase.io/docs)
* [kind is a tool for running local Kubernetes clusters using Docker container "nodes".](https://github.com/kubernetes-sigs/kind)
* [FINN is an experimental framework from Xilinx Research Labs to explore deep neural network inference on FPGAs. ](https://xilinx.github.io/finn/)
* [Gitter is a chat and networking platform that helps to manage, grow and connect communities through messaging, content and discovery.](https://gitter.im/)
* [Fair and useful benchmarks for measuring training and inference performance of ML hardware, software, and services.](https://mlperf.org/)
* [https://kepler.gl/demo](https://kepler.gl/demo)
* [Open source, highly available Prometheus setup with long term storage capabilities.](https://thanos.io/)
* [Deep Learning Design Patterns - Jr Data Scientist - Part 3 - Alternative Connectivity Patterns](https://www.youtube.com/watch?v=JI-MButCqUE)
###
Business
* [5 Ways to Make More Money as a Coach or Consultant](https://www.entrepreneur.com/article/283006)
* [https://www.youtube.com/watch?v=njx09wXb9o0&list=PLnhdsL4kFmVYMNq6F8k8UiFkc6fwIdk3o&index=5](https://www.youtube.com/watch?v=njx09wXb9o0&list=PLnhdsL4kFmVYMNq6F8k8UiFkc6fwIdk3o&index=5)
###
Tools
* Free convert video for mac opensource
* [https://github.com/HandBrake/HandBrake](https://github.com/HandBrake/HandBrake)
* [https://handbrake.fr/rotation.php?file=HandBrake-1.3.3.dmg](https://handbrake.fr/rotation.php?file=HandBrake-1.3.3.dmg)
* [global-gitignore.md](https://gist.github.com/subfuzion/db7f57fff2fb6998a16c)
* [https://nextbillion.ai/](https://nextbillion.ai/) Mapping platform built for enterprises
* [https://github.com/ondras/my-mind](https://github.com/ondras/my-mind) MindMap
* [Create and share beautiful images of your source code.](https://carbon.now.sh/)
* [Web IDE](https://replit.com/templates)
* [https://github.com/jely2002/youtube-dl-gui/releases/tag/v2.2.2](https://github.com/jely2002/youtube-dl-gui/releases/tag/v2.2.2)
###
Patents
[https://patents.google.com/?inventor=pirahansiah&oq=pirahansiah](https://patents.google.com/?inventor=pirahansiah&oq=pirahansiah)
1. System and method for providing advertisement contents based on facial analysis (WO2020141969A2)
2. A method for augmenting a plurality of face images (WO2021060971A1)
3. A method for detecting a moving vehicle (WO2021107761A1)
1. System and method for providing advertisement contents based on facial analysis (WO2020141969A2)
The present invention relates to a system (100) for providing advertisement
contents based on facial analysis comprising an image acquisition device (10)
to acquire an image of a user, a face detection module (20) to detect face of
the user in the image, an analysis module (40) to analyse the facial features
statistically using classification models retrieved from a classification
module (30), a database (60) to store matching rules, weighted advertisements
and a plurality of advertisement contents; and a display device (80) to
display the advertisement contents. The system (100) further comprises a
computation module (50) to compute weighted image of the user and a matching
module (70) to match the weighted image of the user with the weighted
advertisement to select an advertisement content based on facial analysis of
the user. A method of providing the advertisement contents based on facial
analysis is also provided thereof.
[https://patentimages.storage.googleapis.com/ff/3f/a5/e7b42ef58d8a03/WO2020141969A2.pdf](https://patentimages.storage.googleapis.com/ff/3f/a5/e7b42ef58d8a03/WO2020141969A2.pdf)
2. A method for augmenting a plurality of face images (WO2021060971A1)
The present invention relates to a method for increasing data for face
analysis in video surveillance. The method comprises the steps of acquiring at
least one face image from an image acquisition module (102), acquiring a
plurality of face images available on the internet using a data input module
(104), increasing face images by at least one data augmentation module (106
and 107), generating a plurality of face images based on a trained Generative
Adversarial Network, GAN technique by using a GAN module, selecting proper
images based on quality of the face images using a fuzzy logic module (111),
saving the selected images into a fifth database, and training the deep
learning module (113).
[https://patentimages.storage.googleapis.com/b8/d9/7f/ea8a5b789e1dad/WO2021060971A1.pdf](https://patentimages.storage.googleapis.com/b8/d9/7f/ea8a5b789e1dad/WO2021060971A1.pdf)
3. A method for detecting a moving vehicle (WO2021107761A1)
The present invention relates to a method for detecting a moving vehicle. The
method comprises the steps of grabbing an initial image from a video stream by
a vehicle detection module (1100), wherein the vehicle detection module (1100)
is a part of a system (1000) to identify moving vehicle, enhancing the
illumination of the initial image by the vehicle detection module (1100),
enhancing the edges within the initial image by the vehicle detection module
(1100), and finding vehicle based on homogenous properties of the body of the
vehicle by the vehicle detection module (1100). The step of finding vehicle
based on homogenous property of the body of the vehicle by the vehicle
detection module (1100) further comprising the sub-steps of closing open
edges, inverting the binary image, segmenting an inverted binary image,
filtering the noise based on geometric feature, and filtering the noise based
on relation.
[https://patentimages.storage.googleapis.com/16/41/83/2576e20c4a0af5/WO2021107761A1.pdf](https://patentimages.storage.googleapis.com/16/41/83/2576e20c4a0af5/WO2021107761A1.pdf)
###
Books
1. [book chapter titled “Camera Calibration and Video Stabilization Framework for Robot Localization” in the Book entitled “Control Engineering in Robotics and Industrial Automation" which will be published (24/07/2021) in Springer. ](https://www.waterstones.com/book/control-engineering-in-robotics-and-industrial-automation/muralindran-mariappan/mohd-rizal-arshad/9783030745394)
2. [book chapter titled “Augmented Optical Flow Methods for Video Stabilization", In Computational Intelligence: from theory to application. (2017) (p18). ](http://www.ukm.my/penerbit/penerbitan-2017/)
###
Journal Papers
* Using An Ant Colony Optimization Algorithm For Image Edge Detection As A Threshold Segmentation For OCR System Journal of Theoretical & Applied Information Technology, 95(21)
* * [http://www.jatit.org/volumes/Vol95No21/1Vol95No21.pdf](http://www.jatit.org/volumes/Vol95No21/1Vol95No21.pdf)
* GSFT-PSNR: Global Single Fuzzy Threshold Based on PSNR for OCR Systems, International Journal of Computer Science and Network Solutions 4(6)
* * [https://www.ijcsns.com/June.2016-Volume.4-No.6/Article01.pdf](https://www.ijcsns.com/June.2016-Volume.4-No.6/Article01.pdf)
* Adaptive Image Thresholding based On the Peak Signal-To-Noise Ratio, Research Journal of Applied Sciences, Engineering and Technology 8(9).
* * [http://www.academia.edu/download/44161592/Adaptive_Image_Thresholding_Based_on_the20160328-31366-1wyb1jc.pdf](http://www.academia.edu/download/44161592/Adaptive_Image_Thresholding_Based_on_the20160328-31366-1wyb1jc.pdf)
* Simultaneous Localization and Mapping Trends and Humanoid Robot Linkages, Asia-Pacific Journal of Information Technology and Multimedia (APJITM)
* * [http://journalarticle.ukm.my/6644/1/4429-10302-1-SM.pdf](http://journalarticle.ukm.my/6644/1/4429-10302-1-SM.pdf)
* Peak Signal-To-Noise Ratio Based On Threshold Method for Image Segmentation, Journal of Theoretical & Applied Information Technology, 57(2)
* * [http://www.jatit.org/volumes/Vol57No2/4Vol57No2.pdf](http://www.jatit.org/volumes/Vol57No2/4Vol57No2.pdf)
* Character recognition based on global feature extraction; Journal of Theoretical and Applied Information Technology 52
* * [http://www.jatit.org/volumes/Vol52No2/6Vol52No2.pdf](http://www.jatit.org/volumes/Vol52No2/6Vol52No2.pdf)
###
Conference Papers
* Pattern Image Significance for Camera Calibration, IEEE Student Conference on Research and Development (SCOReD 2017)
* [http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8305440&isnumber=8305342](http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8305440&isnumber=8305342)
* Augmented optical flow methods for video stabilization. 4th Artificial Intelligence Technology Postgraduate Seminar (CAITPS 2015)
* [http://www.academia.edu/download/45596617/farshid.pdf](http://www.academia.edu/download/45596617/farshid.pdf)
* Auto-Calibration for Multi-Modal Robot Vision based on Image Quality Assessment, The 10th Asian Control Conference (ASCC 2015)
* [https://doi.org/10.1109/ASCC.2015.7360336](https://doi.org/10.1109/ASCC.2015.7360336)
* 2D versus 3D Map for Environment Movement Objects, Second National Doctoral Seminar in Artificial Intelligence Technology (CAIT 2012)
* [http://www.ftsm.ukm.my/cait2012/images/Program%20Schedule%20CAIT2012.pdf](http://www.ftsm.ukm.my/cait2012/images/Program%20Schedule%20CAIT2012.pdf)
* Comparison Single Thresholding Method for Image Segmentation on Handwritten Images, International Conference on Pattern Analysis and Intelligent Robotics
* [https://doi.org/10.1109/ICPAIR.2011.5976918](https://doi.org/10.1109/ICPAIR.2011.5976918)
* License Plate Recognition with Multi-Threshold Based on Entropy, 3rd International Conference on Electrical Engineering and Informatics (ICEEI 2011)
* [https://doi.org/10.1109/ICEEI.2011.6021627](https://doi.org/10.1109/ICEEI.2011.6021627)
* Character recognition based on global feature extraction, 3rd International Conference On Electrical Engineering and Informatics (ICEEI 2011)
* [https://pdfs.semanticscholar.org/2d22/66bfb2f5ba5cb40b5946b82c620dc713d793.pdf](https://pdfs.semanticscholar.org/2d22/66bfb2f5ba5cb40b5946b82c620dc713d793.pdf)
* [https://doi.org/10.1109/ICEEI.2011.6021649](https://doi.org/10.1109/ICEEI.2011.6021649)
* Tafresh Grid: Grid computing in Tafresh university," 2011 IEEE 3rd International Conference on Communication Software and Networks, Xi'an, 2011, pp. 83-85.
* [http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6014009&isnumber=6013532](http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6014009&isnumber=6013532)
* Adaptive image segmentation based on Peak Signal to Noise Ratio for a license plate Recognition system, International Conference on Computer Applications and Industrial Electronics (ICCAIE 2010)
* [https://doi.org/10.1109/ICCAIE.2010.5735125](https://doi.org/10.1109/ICCAIE.2010.5735125)
* [http://www.academia.edu/download/44161592/Adaptive_Image_Thresholding_Based_on_the20160328-31366-1wyb1jc.pdf](http://www.academia.edu/download/44161592/Adaptive_Image_Thresholding_Based_on_the20160328-31366-1wyb1jc.pdf)
* Multi-threshold approach for license plate recognition system, International Conference on Signal and Image Processing WASET ICSIP 2010:1046-1050
* [http://waset.org/publications/3636](http://waset.org/publications/3636)
* An evaluation of classification techniques using enhanced Geometrical Topological Feature Analysis, 2nd Malaysian Joint Conference on Artificial Intelligence (MJCAI 2010)
* [https://scholar.google.com/scholar?oi=bibs&cluster=3038184255311332521&btnI=1&hl=en](https://scholar.google.com/scholar?oi=bibs&cluster=3038184255311332521&btnI=1&hl=en)
###
Articles on LinkedIn
* [ADRL: Advanced Deep Reinforcement Learning {Patents and papers; Main point summary on recently published research on DRL} (draft version Feb 2019) ]([https://www.linkedin.com/pulse/patents-papers-adrl-advanced-deep-reinforcement-feb-pirahansiah-phd/](https://www.linkedin.com/pulse/patents-papers-adrl-advanced-deep-reinforcement-feb-pirahansiah-phd/))
* [The most important research papers for deep learning (updated December, 2017)]([https://www.linkedin.com/pulse/most-important-research-papers-deep-learning-updated-2017-farshid/](https://www.linkedin.com/pulse/most-important-research-papers-deep-learning-updated-2017-farshid/) )
* [List of useful links (Videos, Slides, Articles) for Deep Learning ]([https://www.linkedin.com/pulse/list-useful-links-videos-slides-articles-deep-farshid-pirahansiah/](https://www.linkedin.com/pulse/list-useful-links-videos-slides-articles-deep-farshid-pirahansiah/))
* [Autonomous driving vehicles (Computer Vision, Deep Learning)]([https://www.linkedin.com/pulse/autonomous-driving-vehicles-computer-vision-deep-farshid-pirahansiah-1/](https://www.linkedin.com/pulse/autonomous-driving-vehicles-computer-vision-deep-farshid-pirahansiah-1/)
* [Thresholding]([https://www.linkedin.com/pulse/thresholding-farshid-pirahansiah/](https://www.linkedin.com/pulse/thresholding-farshid-pirahansiah/)
###
Slides slideshare
* Deep Learning for Computer Vision in Ubuntu 19; Part 1 installation [Link]([https://www.slideshare.net/pirahansiah/deep-learning-for-computer-vision-in-ubuntu-19-part-1-installation](https://www.slideshare.net/pirahansiah/deep-learning-for-computer-vision-in-ubuntu-19-part-1-installation)
* Using Deep Learning for Computer Vision Applications [Link]([https://www.slideshare.net/pirahansiah/using-deep-learning-for-computer-vision-applications](https://www.slideshare.net/pirahansiah/using-deep-learning-for-computer-vision-applications) )
* tensorflow1.3 digits6.0 Caffe [Link]([https://www.slideshare.net/pirahansiah/farshid-tensorflow13-digits60caffe](https://www.slideshare.net/pirahansiah/farshid-tensorflow13-digits60caffe) )
* Install TensorFlow 1.2 on macOS Sierra on MacBook (June 2017) [Link]([https://www.slideshare.net/pirahansiah/install-tensorflow-12-on-macos-sierra-on-macbook-june-2017](https://www.slideshare.net/pirahansiah/install-tensorflow-12-on-macos-sierra-on-macbook-june-2017) )
* Best Deep Learning Post from LinkedIn Group [Link]([https://www.slideshare.net/pirahansiah/best-deep-learning-post-from-linkedin-group](https://www.slideshare.net/pirahansiah/best-deep-learning-post-from-linkedin-group) )
* Install, Compile, Setup, Setting OpenCV 3.2, Visual C++ 2015, Win 64bit [Link]([https://www.slideshare.net/pirahansiah/install-compile-setup-setting-opencv-32-visual-c-2015-win-64bit](https://www.slideshare.net/pirahansiah/install-compile-setup-setting-opencv-32-visual-c-2015-win-64bit) )
* Layers in Deep Learning&Caffe layers (model architecture ) [Link]([https://www.slideshare.net/pirahansiah/layers-in-deep-learningcaffe-layers-model-architecture](https://www.slideshare.net/pirahansiah/layers-in-deep-learningcaffe-layers-model-architecture) )
* How to install Digits 5.1 on Ubuntu 14 [Link]([https://www.slideshare.net/pirahansiah/how-to-install-digits-51-on-ubuntu-14](https://www.slideshare.net/pirahansiah/how-to-install-digits-51-on-ubuntu-14) )
* Deep Learning for Video Analysis – part 1 (DeepStream SDK) [NVIDIA TensorRT || NVIDIA GPU Inference Engine (GIE)] [Link]([https://www.slideshare.net/pirahansiah/deep-learning-for-video-analysis-part-1-deepstream-sdk-nvidia-tensorrt-nvidia-gpu-inference-engine-gie](https://www.slideshare.net/pirahansiah/deep-learning-for-video-analysis-part-1-deepstream-sdk-nvidia-tensorrt-nvidia-gpu-inference-engine-gie) )
* Computer Vision, Deep Learning, OpenCV [Link]([https://www.slideshare.net/pirahansiah/computer-vision-deep-learning-opencv](https://www.slideshare.net/pirahansiah/computer-vision-deep-learning-opencv) )
###
Online Courses
* [Writing with Impact ](https://www.linkedin.com/learning/writing-with-impact)
* [Balancing Work and Life ](https://www.linkedin.com/learning/balancing-work-and-life)
* [Finance Foundations: Income Taxes ](https://www.linkedin.com/learning/finance-foundations-income-taxes-2)
* [Starting a Business with Family and Friends ](https://www.linkedin.com/learning/starting-a-business-with-family-and-friends)
* [Finance Essentials for Small Business ](https://www.linkedin.com/learning/finance-essentials-for-small-business)
* [Setting Up Your Small Business as a Legal Entity ](https://www.linkedin.com/learning/setting-up-your-small-business-as-a-legal-entity)
* [Creating a Business Plan ](https://www.linkedin.com/learning/creating-a-business-plan-2)
* [Understanding Business ](https://www.linkedin.com/learning/understanding-business)
* [Entrepreneurship: Finding and Testing Your Business Idea ](https://www.linkedin.com/learning/entrepreneurship-finding-and-testing-your-business-idea)
* [Guy Kawasaki on Entrepreneurship ](https://www.linkedin.com/learning/guy-kawasaki-on-entrepreneurship)
* [Financial Modeling Foundations ](https://www.linkedin.com/learning/financial-modeling-foundations)
* [Financial Accounting Foundations ](https://www.linkedin.com/learning/financial-accounting-foundations)
* [Strategic Planning Foundations ](https://www.linkedin.com/learning/strategic-planning-foundations)
* [5 Personal Finance Tips ](https://www.linkedin.com/learning/5-personal-finance-tips)
* [Investment Evaluation ](https://www.linkedin.com/learning/investment-evaluation)
* [Managing Your Personal Investments ](https://www.linkedin.com/learning/managing-your-personal-investments)
* [Financial Wellness: Managing Personal Cash Flow ](https://www.linkedin.com/learning/financial-wellness-managing-personal-cash-flow)
* [Financial Wellness for Couples and Families ](https://www.linkedin.com/learning/financial-wellness-for-couples-and-families)
* [Managing Your Personal Finances ](https://www.linkedin.com/learning/managing-your-personal-finances)
* [Finance Foundations ](https://www.linkedin.com/learning/finance-foundations-2)
* [Entrepreneurship Foundations ](https://www.linkedin.com/learning/entrepreneurship-foundations-2)
* [Introduction to Deep Learning with OpenCV ](https://www.linkedin.com/learning/introduction-to-deep-learning-with-opencv)
* [OpenCV for Python Developers ](https://www.linkedin.com/learning/opencv-for-python-developers)
* [Brad Feld on Validating Your Startup Idea ](https://www.linkedin.com/learning/brad-feld-on-validating-your-startup-idea)
* [Brad Feld on Raising Capital ](https://www.linkedin.com/learning/brad-feld-on-raising-capital)
* [Take a More Creative Approach to Problem-Solving ](https://www.linkedin.com/learning/take-a-more-creative-approach-to-problem-solving)
* [Professional Networking ](https://www.linkedin.com/learning/professional-networking)
* [Building Relationships While Working from Home ](https://www.linkedin.com/learning/building-relationships-while-working-from-home)
* [Entrepreneurship: Raising Startup Capital ](https://www.linkedin.com/learning/entrepreneurship-raising-startup-capital)
* [Business Analysis Foundations: Business Process Modeling ](https://www.linkedin.com/learning/business-analysis-foundations-business-process-modeling)
* [Communicating with Confidence ](https://www.linkedin.com/learning/communicating-with-confidence)
* [Machine Learning for iOS Developers ](https://www.linkedin.com/learning/machine-learning-for-ios-developers)
###
Learning path
* [Stay Ahead in Personal Finance ](https://www.linkedin.com/learning/paths/stay-ahead-in-personal-finance)
* [Become a Small Business Owner ](https://www.linkedin.com/learning/paths/become-a-small-business-owner)
#
Completed
###
Reference
[https://drive.google.com/file/d/1xd5TZlEZnUUieXzw3Lxn3Sv7MwIajU_W/view?usp=sharing](https://drive.google.com/file/d/1xd5TZlEZnUUieXzw3Lxn3Sv7MwIajU_W/view?usp=sharing)
###
Link of best Groups
* [LinkedIn: Computer Vision, Deep Learning, Deep Reinforcement Learning, GANs, OpenCV, Caffe, TensorFlow,PyTorch](https://www.linkedin.com/groups/10320678/)
* [Source code](https://gitlab.com/pirahansiah)
* [Facebook : Deep Learning, Computer Vision, Robotics ](https://web.facebook.com/groups/185926728115336/)
* [The link to one-note notebook ](https://1drv.ms/u/s!AhG15hrdT9JOgR5GZgPjve65F-e5)
* [GitHub](https://github.com/pirahansiah)
###
Books
* [The Art of Startup Fundraising](https://www.amazon.de/-/en/Alejandro-Cremades-ebook/dp/B01DQ3GY3Y)
* [Mathematics for Machine Learning](https://mml-book.github.io/)
* Principles of Economics (6th edition)
* The E-Myth Revisited Why Most Small Businesses Don't Work and What to Do About It
* Clean Code: A Handbook of Agile Software Craftsmanship (Robert C. Martin)
* Reinventing Your Life: The Breakthough Program to End Negative Behavior
* Ways Of Thinking: The Limits Of Rational Thought And Artificial Intelligence
* [https://images.kw.com/docs/2/1/2/212345/1285134779158_htwfaip.pdf](https://images.kw.com/docs/2/1/2/212345/1285134779158_htwfaip.pdf)
* * [Computer Vision: Algorithms and Applications](http://szeliski.org/Book/)
* [Multiple View Geometry in Computer Vision Second Edition](https://www.robots.ox.ac.uk/~vgg/hzbook/)
* [Complete to download the latest draft of Machine Learning Yearning](https://www.deeplearning.ai/machine-learning-yearning/)
* Multiple view geometry in computer vision
* Learning OpenCV Book by Adrian Kaehler and Gary Bradski
* Digital Image Processing, Global Edition by Rafael C. Gonzalez
* Introduction to Algorithms, 3rd Edition (The MIT Press)
* The Mythical Man-Month: Essays on Software Engineering
* [OpenCV-4-with-Python-Blueprints-Second-Edition](https://github.com/PacktPublishing/OpenCV-4-with-Python-Blueprints-Second-Edition)
###
Videos
* [https://www.youtube.com/computervisiondeeplearning](https://www.youtube.com/computervisiondeeplearning)
* [Two Minute Papers](https://www.youtube.com/c/K%C3%A1rolyZsolnai/videos)
* [Conference on Pattern Recognition](https://www.gcpr-vmv-vcbm-2020.uni-tuebingen.de/)
* [https://researchseminars.org/?fbclid=IwAR0Ly9WLONBMBteYI7IhlRaMYR_rQR6YrpdxLG_sUxPxGYKQhB0SOTmcjgY](https://researchseminars.org/?fbclid=IwAR0Ly9WLONBMBteYI7IhlRaMYR_rQR6YrpdxLG_sUxPxGYKQhB0SOTmcjgY)
###
Papers
* CALTag: High Precision Fiducial Markers for Camera
* Diatom Autofocusing in Brightfield Microscopy: a Comparative Study
* Analysis of focus measure operators in shape-from-focus
* Optical flow modeling and computation: A survey
* Toward general type 2 fuzzy logic systems based on zSlices
###
Site
* [Research Tools By: Nader Ale Ebrahim](https://www.mindmeister.com/39583892/research-tools-by-nader-ale-ebrahim?t=HMmnzlA4zN) ([MindMap](https://www.mindmeister.com/39583892/research-tools-by-nader-ale-ebrahim?fullscreen=1#))
Reference-
ComputerVisionDeepLearning.pdf
* [https://virgool.io/@r_alimorady/easy-install-cuda-document-hhk6nuylvl1w](https://virgool.io/@r_alimorady/easy-install-cuda-document-hhk6nuylvl1w)
* [https://techcommunity.microsoft.com/t5/azure-ai/introducing-multivariate-anomaly-detection/ba-p/2260679](https://techcommunity.microsoft.com/t5/azure-ai/introducing-multivariate-anomaly-detection/ba-p/2260679)
* [https://www.freertos.org/index.html](https://www.freertos.org/index.html)
* [https://en.wikipedia.org/wiki/Knowledge_distillation](https://en.wikipedia.org/wiki/Knowledge_distillation)
* [https://80000hours.org/2015/10/startup-salaries-and-equity-compensation/](https://80000hours.org/2015/10/startup-salaries-and-equity-compensation/)
* [https://www.thecvf.com/?page_id=413](https://www.thecvf.com/?page_id=413)
* [https://levelup.gitconnected.com/s-o-l-i-d-principles-explained-in-python-with-examples-83b2b43bdcde?gi=a1fee170c917](https://levelup.gitconnected.com/s-o-l-i-d-principles-explained-in-python-with-examples-83b2b43bdcde?gi=a1fee170c917)
* [https://arxiv.org/pdf/2104.13921.pdf](https://arxiv.org/pdf/2104.13921.pdf)
* [https://blog.paperspace.com/object-detection-directed-mask-r-cnn-keras/](https://blog.paperspace.com/object-detection-directed-mask-r-cnn-keras/)
* [https://pub.towardsai.net/will-transformers-replace-cnns-in-computer-vision-55657a196833](https://pub.towardsai.net/will-transformers-replace-cnns-in-computer-vision-55657a196833)
* [https://medium.com/@daviddelaiglesiacastro/3d-point-cloud-generation-from-3d-triangular-mesh-bbb602ecf238](https://medium.com/@daviddelaiglesiacastro/3d-point-cloud-generation-from-3d-triangular-mesh-bbb602ecf238)
*
[https://koinly.io/](https://koinly.io/)
site map: octopus.do
[https://www.startupgermany.nrw/startup-
contest/](https://www.startupgermany.nrw/startup-contest/)
[https://www.kickstarter.com/projects/opencv/opencv-ai-kit-oak-depth-
camera-4k-cv-edge-object-
detection/description](https://www.kickstarter.com/projects/opencv/opencv-ai-
kit-oak-depth-camera-4k-cv-edge-object-detection/description)
[HOW I GAINED 68,000 SUBSCRIBERS IN A YEAR! | My Strategy to Grow on YouTube
in 2021! - YouTube
](https://www.youtube.com/watch?v=bwd1dQr33K8&list=PLxC08P2Oexy2EJKezV02N9cp3-qOEh79Z)
[https://www.youtube.com/watch?v=bwd1dQr33K8&list=PLxC08P2Oexy2EJKezV02N9cp3-qOEh79Z](https://www.youtube.com/watch?v=bwd1dQr33K8&list=PLxC08P2Oexy2EJKezV02N9cp3-qOEh79Z)
[https://www.youtube.com/watch?v=cFdApmqlllg](https://www.youtube.com/watch?v=cFdApmqlllg)
[محمد رضا شجریان، آلبوم کامل در خیال -
YouTube](https://www.youtube.com/watch?v=cFdApmqlllg)
[دوره جامع گوگل آنالیتیکس(UA) |
آنالیتیپس](https://analytips.io/product/google-analyticsua/)
[رادیوگیک - شماره ۱۲۱ - ما این لارادیوگیک - شماره ۱۲۱ - ما این لا -
YouTube](https://www.youtube.com/watch?v=dzBLhio-DIc)
[Social Selling Index | Sales
Navigator](https://www.linkedin.com/sales/ssi?src=or-
search&veh=www.google.com)
[https://rschu.me/list-a-directory-with-tree-command-on-mac-
os-x-3b2d4c4a4827](https://rschu.me/list-a-directory-with-tree-command-on-mac-
os-x-3b2d4c4a4827)
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* [AltCoin](/topics-and-projects/altcoin)
* [Resume_CV](/topics-and-projects/resume_cv)
* [فارسی](/topics-and-projects/فارسی)
* [Apple](/topics-and-projects/apple)
* [startup](/topics-and-projects/startup)
* [Links](/links)
* [amazon](/links/amazon)
* [About](/about)
* [FQA](/about/fqa)
[Computer
Vision, Deep Learning, Artificial superintelligence (ASI)](/home)
# Links
pirahansiah, Personal, Roadmap, Books, Online Courses
[](https://drive.google.com/open?id=1ELXvmqcSciCK8-TUVsyVRnYTuxnKta-_xze-
oXQexwY "Open Spreadsheet, Links in new window")
Links
Links from my research and interest
AI in RISC-V
Mixed reality
Old Links
Reference
Link Groups
Top website
Python
Computer Vision
Documents
Business
Tools
Patents
Books
Journal Papers
Conference Papers
Articles on LinkedIn
Slides slideshare
Online Courses
Learning path
Completed
Reference
Link of best Groups
Books
Videos
Papers
Site
Efficient Video Dataset Loading and Augmentation in PyTorch for deep learning
training loops.
GitHub[ https://lnkd.in/gpR8idsp](https://lnkd.in/gpR8idsp)
[https://remmina.org/how-to-install-remmina/](https://remmina.org/how-to-
install-remmina/)
[https://readme.so/](https://readme.so/)
#
Links from my research and interest
[Build Better Generative Adversarial Networks (GANs) - Andrew Ng -
2021](https://www.youtube.com/playlist?list=PLuv1FSpHurUfl44GWqaCzEhGP-aP_-
VnF)
[https://www.oreilly.com/library/view/flow-
architectures/9781492075882/](https://www.oreilly.com/library/view/flow-
architectures/9781492075882/)
##
AI in RISC-V
* [RISC-V hardware & software ecosystem highlights in 2020](https://www.cnx-software.com/2020/12/10/risc-v-hardware-software-ecosystem-highlights-in-2020)
##
Mixed reality
* [https://github.com/MIT-SPARK/Kimera](https://github.com/MIT-SPARK/Kimera)
* Kimera is a C++ library for real-time metric-semantic simultaneous localization and mapping, which uses camera images and inertial data to build a semantically annotated 3D mesh of the environment. Kimera is modular, ROS-enabled, and runs on a CPU.
#
Old Links
###
Reference
[https://drive.google.com/file/d/1xd5TZlEZnUUieXzw3Lxn3Sv7MwIajU_W/view?usp=sharing](https://drive.google.com/file/d/1xd5TZlEZnUUieXzw3Lxn3Sv7MwIajU_W/view?usp=sharing)
###
Link Groups
* [LinkedIn: Computer Vision, Deep Learning, Deep Reinforcement Learning, GANs, OpenCV, Caffe, TensorFlow,PyTorch](https://www.linkedin.com/groups/10320678/)
* [Source code](https://gitlab.com/pirahansiah)
* [Facebook : Deep Learning, Computer Vision, Robotics ](https://web.facebook.com/groups/185926728115336/)
* [The link to one-note notebook ](https://1drv.ms/u/s!AhG15hrdT9JOgR5GZgPjve65F-e5)
* [GitHub](https://github.com/pirahansiah)
###
Top website
* [https://paperswithcode.com/](https://paperswithcode.com/)
* [https://www.learnthepart.com/](https://www.learnthepart.com/)
* [https://hackaday.com/](https://hackaday.com/)
* [https://medium.com/@pirahansiah/timesaver-626019137fa9?sk=cde3334919d6c16ba0964fe021a24762](https://medium.com/@pirahansiah/timesaver-626019137fa9?sk=cde3334919d6c16ba0964fe021a24762)
* hbrew install youtube-dl
* [https://www.masterclass.com/](https://www.masterclass.com/)
* [Deep Learning for coders (2020)](https://www.youtube.com/user/howardjeremyp)
* [Deep Learning for Video](https://mcv-m6-video.github.io/deepvideo-2019/) (Master in Computer Vision Barcelona)
* [Augmented Reality using ArUco Markers in OpenCV (C++ / Python)](https://www.learnopencv.com/augmented-reality-using-aruco-markers-in-opencv-c-python/)
* [https://explainshell.com/](https://explainshell.com/)
* [https://stackoverflow.blog/2020/02/12/when-laziness-is-efficient-make-the-most-of-your-command-line/](https://stackoverflow.blog/2020/02/12/when-laziness-is-efficient-make-the-most-of-your-command-line/?utm_source=Iterable&utm_medium=email&utm_campaign=the_overflow_newsletter&utm_content=02-19-20)
* [https://link.medium.com/XA49Ke0Jt4](https://link.medium.com/XA49Ke0Jt4)
* [https://link.medium.com/Np0YEy1Jt4](https://link.medium.com/Np0YEy1Jt4)
###
Python
* [How to Write Beautiful Python Code With PEP 8](https://realpython.com/python-pep8/)
* [PEP 622 -- Structural Pattern Matching](https://www.python.org/dev/peps/pep-0622/)
* [Monitor Your Dependencies! Stop Being A Blind Data-Scientist.](https://towardsdatascience.com/monitor-your-dependencies-stop-being-a-blind-data-scientist-a3150bd64594)
###
Computer Vision
* [Hybrid CV/DL pipelines with OpenCV 4.4 G-API](https://opencv.org/hybrid-cv-dl-pipelines-with-opencv-4-4-g-api/)
* [PaddleDetection is an end-to-end object detection development kit based on PaddlePaddle, which aims to help developers in the whole development of training models, optimizing performance and inference speed, and deploying models. ](https://github.com/PaddlePaddle/PaddleDetection/blob/release/0.4/README_en.md)
* [https://github.com/google/mediapipe](https://github.com/google/mediapipe)
###
Documents
* [https://book.keybase.io/docs](https://book.keybase.io/docs)
* [kind is a tool for running local Kubernetes clusters using Docker container "nodes".](https://github.com/kubernetes-sigs/kind)
* [FINN is an experimental framework from Xilinx Research Labs to explore deep neural network inference on FPGAs. ](https://xilinx.github.io/finn/)
* [Gitter is a chat and networking platform that helps to manage, grow and connect communities through messaging, content and discovery.](https://gitter.im/)
* [Fair and useful benchmarks for measuring training and inference performance of ML hardware, software, and services.](https://mlperf.org/)
* [https://kepler.gl/demo](https://kepler.gl/demo)
* [Open source, highly available Prometheus setup with long term storage capabilities.](https://thanos.io/)
* [Deep Learning Design Patterns - Jr Data Scientist - Part 3 - Alternative Connectivity Patterns](https://www.youtube.com/watch?v=JI-MButCqUE)
###
Business
* [5 Ways to Make More Money as a Coach or Consultant](https://www.entrepreneur.com/article/283006)
* [https://www.youtube.com/watch?v=njx09wXb9o0&list=PLnhdsL4kFmVYMNq6F8k8UiFkc6fwIdk3o&index=5](https://www.youtube.com/watch?v=njx09wXb9o0&list=PLnhdsL4kFmVYMNq6F8k8UiFkc6fwIdk3o&index=5)
###
Tools
* Free convert video for mac opensource
* [https://github.com/HandBrake/HandBrake](https://github.com/HandBrake/HandBrake)
* [https://handbrake.fr/rotation.php?file=HandBrake-1.3.3.dmg](https://handbrake.fr/rotation.php?file=HandBrake-1.3.3.dmg)
* [global-gitignore.md](https://gist.github.com/subfuzion/db7f57fff2fb6998a16c)
* [https://nextbillion.ai/](https://nextbillion.ai/) Mapping platform built for enterprises
* [https://github.com/ondras/my-mind](https://github.com/ondras/my-mind) MindMap
* [Create and share beautiful images of your source code.](https://carbon.now.sh/)
* [Web IDE](https://replit.com/templates)
* [https://github.com/jely2002/youtube-dl-gui/releases/tag/v2.2.2](https://github.com/jely2002/youtube-dl-gui/releases/tag/v2.2.2)
###
Patents
[https://patents.google.com/?inventor=pirahansiah&oq=pirahansiah](https://patents.google.com/?inventor=pirahansiah&oq=pirahansiah)
1. System and method for providing advertisement contents based on facial analysis (WO2020141969A2)
2. A method for augmenting a plurality of face images (WO2021060971A1)
3. A method for detecting a moving vehicle (WO2021107761A1)
1. System and method for providing advertisement contents based on facial analysis (WO2020141969A2)
The present invention relates to a system (100) for providing advertisement
contents based on facial analysis comprising an image acquisition device (10)
to acquire an image of a user, a face detection module (20) to detect face of
the user in the image, an analysis module (40) to analyse the facial features
statistically using classification models retrieved from a classification
module (30), a database (60) to store matching rules, weighted advertisements
and a plurality of advertisement contents; and a display device (80) to
display the advertisement contents. The system (100) further comprises a
computation module (50) to compute weighted image of the user and a matching
module (70) to match the weighted image of the user with the weighted
advertisement to select an advertisement content based on facial analysis of
the user. A method of providing the advertisement contents based on facial
analysis is also provided thereof.
[https://patentimages.storage.googleapis.com/ff/3f/a5/e7b42ef58d8a03/WO2020141969A2.pdf](https://patentimages.storage.googleapis.com/ff/3f/a5/e7b42ef58d8a03/WO2020141969A2.pdf)
2. A method for augmenting a plurality of face images (WO2021060971A1)
The present invention relates to a method for increasing data for face
analysis in video surveillance. The method comprises the steps of acquiring at
least one face image from an image acquisition module (102), acquiring a
plurality of face images available on the internet using a data input module
(104), increasing face images by at least one data augmentation module (106
and 107), generating a plurality of face images based on a trained Generative
Adversarial Network, GAN technique by using a GAN module, selecting proper
images based on quality of the face images using a fuzzy logic module (111),
saving the selected images into a fifth database, and training the deep
learning module (113).
[https://patentimages.storage.googleapis.com/b8/d9/7f/ea8a5b789e1dad/WO2021060971A1.pdf](https://patentimages.storage.googleapis.com/b8/d9/7f/ea8a5b789e1dad/WO2021060971A1.pdf)
3. A method for detecting a moving vehicle (WO2021107761A1)
The present invention relates to a method for detecting a moving vehicle. The
method comprises the steps of grabbing an initial image from a video stream by
a vehicle detection module (1100), wherein the vehicle detection module (1100)
is a part of a system (1000) to identify moving vehicle, enhancing the
illumination of the initial image by the vehicle detection module (1100),
enhancing the edges within the initial image by the vehicle detection module
(1100), and finding vehicle based on homogenous properties of the body of the
vehicle by the vehicle detection module (1100). The step of finding vehicle
based on homogenous property of the body of the vehicle by the vehicle
detection module (1100) further comprising the sub-steps of closing open
edges, inverting the binary image, segmenting an inverted binary image,
filtering the noise based on geometric feature, and filtering the noise based
on relation.
[https://patentimages.storage.googleapis.com/16/41/83/2576e20c4a0af5/WO2021107761A1.pdf](https://patentimages.storage.googleapis.com/16/41/83/2576e20c4a0af5/WO2021107761A1.pdf)
###
Books
1. [book chapter titled “Camera Calibration and Video Stabilization Framework for Robot Localization” in the Book entitled “Control Engineering in Robotics and Industrial Automation" which will be published (24/07/2021) in Springer. ](https://www.waterstones.com/book/control-engineering-in-robotics-and-industrial-automation/muralindran-mariappan/mohd-rizal-arshad/9783030745394)
2. [book chapter titled “Augmented Optical Flow Methods for Video Stabilization", In Computational Intelligence: from theory to application. (2017) (p18). ](http://www.ukm.my/penerbit/penerbitan-2017/)
###
Journal Papers
* Using An Ant Colony Optimization Algorithm For Image Edge Detection As A Threshold Segmentation For OCR System Journal of Theoretical & Applied Information Technology, 95(21)
* * [http://www.jatit.org/volumes/Vol95No21/1Vol95No21.pdf](http://www.jatit.org/volumes/Vol95No21/1Vol95No21.pdf)
* GSFT-PSNR: Global Single Fuzzy Threshold Based on PSNR for OCR Systems, International Journal of Computer Science and Network Solutions 4(6)
* * [https://www.ijcsns.com/June.2016-Volume.4-No.6/Article01.pdf](https://www.ijcsns.com/June.2016-Volume.4-No.6/Article01.pdf)
* Adaptive Image Thresholding based On the Peak Signal-To-Noise Ratio, Research Journal of Applied Sciences, Engineering and Technology 8(9).
* * [http://www.academia.edu/download/44161592/Adaptive_Image_Thresholding_Based_on_the20160328-31366-1wyb1jc.pdf](http://www.academia.edu/download/44161592/Adaptive_Image_Thresholding_Based_on_the20160328-31366-1wyb1jc.pdf)
* Simultaneous Localization and Mapping Trends and Humanoid Robot Linkages, Asia-Pacific Journal of Information Technology and Multimedia (APJITM)
* * [http://journalarticle.ukm.my/6644/1/4429-10302-1-SM.pdf](http://journalarticle.ukm.my/6644/1/4429-10302-1-SM.pdf)
* Peak Signal-To-Noise Ratio Based On Threshold Method for Image Segmentation, Journal of Theoretical & Applied Information Technology, 57(2)
* * [http://www.jatit.org/volumes/Vol57No2/4Vol57No2.pdf](http://www.jatit.org/volumes/Vol57No2/4Vol57No2.pdf)
* Character recognition based on global feature extraction; Journal of Theoretical and Applied Information Technology 52
* * [http://www.jatit.org/volumes/Vol52No2/6Vol52No2.pdf](http://www.jatit.org/volumes/Vol52No2/6Vol52No2.pdf)
###
Conference Papers
* Pattern Image Significance for Camera Calibration, IEEE Student Conference on Research and Development (SCOReD 2017)
* [http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8305440&isnumber=8305342](http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8305440&isnumber=8305342)
* Augmented optical flow methods for video stabilization. 4th Artificial Intelligence Technology Postgraduate Seminar (CAITPS 2015)
* [http://www.academia.edu/download/45596617/farshid.pdf](http://www.academia.edu/download/45596617/farshid.pdf)
* Auto-Calibration for Multi-Modal Robot Vision based on Image Quality Assessment, The 10th Asian Control Conference (ASCC 2015)
* [https://doi.org/10.1109/ASCC.2015.7360336](https://doi.org/10.1109/ASCC.2015.7360336)
* 2D versus 3D Map for Environment Movement Objects, Second National Doctoral Seminar in Artificial Intelligence Technology (CAIT 2012)
* [http://www.ftsm.ukm.my/cait2012/images/Program%20Schedule%20CAIT2012.pdf](http://www.ftsm.ukm.my/cait2012/images/Program%20Schedule%20CAIT2012.pdf)
* Comparison Single Thresholding Method for Image Segmentation on Handwritten Images, International Conference on Pattern Analysis and Intelligent Robotics
* [https://doi.org/10.1109/ICPAIR.2011.5976918](https://doi.org/10.1109/ICPAIR.2011.5976918)
* License Plate Recognition with Multi-Threshold Based on Entropy, 3rd International Conference on Electrical Engineering and Informatics (ICEEI 2011)
* [https://doi.org/10.1109/ICEEI.2011.6021627](https://doi.org/10.1109/ICEEI.2011.6021627)
* Character recognition based on global feature extraction, 3rd International Conference On Electrical Engineering and Informatics (ICEEI 2011)
* [https://pdfs.semanticscholar.org/2d22/66bfb2f5ba5cb40b5946b82c620dc713d793.pdf](https://pdfs.semanticscholar.org/2d22/66bfb2f5ba5cb40b5946b82c620dc713d793.pdf)
* [https://doi.org/10.1109/ICEEI.2011.6021649](https://doi.org/10.1109/ICEEI.2011.6021649)
* Tafresh Grid: Grid computing in Tafresh university," 2011 IEEE 3rd International Conference on Communication Software and Networks, Xi'an, 2011, pp. 83-85.
* [http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6014009&isnumber=6013532](http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6014009&isnumber=6013532)
* Adaptive image segmentation based on Peak Signal to Noise Ratio for a license plate Recognition system, International Conference on Computer Applications and Industrial Electronics (ICCAIE 2010)
* [https://doi.org/10.1109/ICCAIE.2010.5735125](https://doi.org/10.1109/ICCAIE.2010.5735125)
* [http://www.academia.edu/download/44161592/Adaptive_Image_Thresholding_Based_on_the20160328-31366-1wyb1jc.pdf](http://www.academia.edu/download/44161592/Adaptive_Image_Thresholding_Based_on_the20160328-31366-1wyb1jc.pdf)
* Multi-threshold approach for license plate recognition system, International Conference on Signal and Image Processing WASET ICSIP 2010:1046-1050
* [http://waset.org/publications/3636](http://waset.org/publications/3636)
* An evaluation of classification techniques using enhanced Geometrical Topological Feature Analysis, 2nd Malaysian Joint Conference on Artificial Intelligence (MJCAI 2010)
* [https://scholar.google.com/scholar?oi=bibs&cluster=3038184255311332521&btnI=1&hl=en](https://scholar.google.com/scholar?oi=bibs&cluster=3038184255311332521&btnI=1&hl=en)
###
Articles on LinkedIn
* [ADRL: Advanced Deep Reinforcement Learning {Patents and papers; Main point summary on recently published research on DRL} (draft version Feb 2019) ]([https://www.linkedin.com/pulse/patents-papers-adrl-advanced-deep-reinforcement-feb-pirahansiah-phd/](https://www.linkedin.com/pulse/patents-papers-adrl-advanced-deep-reinforcement-feb-pirahansiah-phd/))
* [The most important research papers for deep learning (updated December, 2017)]([https://www.linkedin.com/pulse/most-important-research-papers-deep-learning-updated-2017-farshid/](https://www.linkedin.com/pulse/most-important-research-papers-deep-learning-updated-2017-farshid/) )
* [List of useful links (Videos, Slides, Articles) for Deep Learning ]([https://www.linkedin.com/pulse/list-useful-links-videos-slides-articles-deep-farshid-pirahansiah/](https://www.linkedin.com/pulse/list-useful-links-videos-slides-articles-deep-farshid-pirahansiah/))
* [Autonomous driving vehicles (Computer Vision, Deep Learning)]([https://www.linkedin.com/pulse/autonomous-driving-vehicles-computer-vision-deep-farshid-pirahansiah-1/](https://www.linkedin.com/pulse/autonomous-driving-vehicles-computer-vision-deep-farshid-pirahansiah-1/)
* [Thresholding]([https://www.linkedin.com/pulse/thresholding-farshid-pirahansiah/](https://www.linkedin.com/pulse/thresholding-farshid-pirahansiah/)
###
Slides slideshare
* Deep Learning for Computer Vision in Ubuntu 19; Part 1 installation [Link]([https://www.slideshare.net/pirahansiah/deep-learning-for-computer-vision-in-ubuntu-19-part-1-installation](https://www.slideshare.net/pirahansiah/deep-learning-for-computer-vision-in-ubuntu-19-part-1-installation)
* Using Deep Learning for Computer Vision Applications [Link]([https://www.slideshare.net/pirahansiah/using-deep-learning-for-computer-vision-applications](https://www.slideshare.net/pirahansiah/using-deep-learning-for-computer-vision-applications) )
* tensorflow1.3 digits6.0 Caffe [Link]([https://www.slideshare.net/pirahansiah/farshid-tensorflow13-digits60caffe](https://www.slideshare.net/pirahansiah/farshid-tensorflow13-digits60caffe) )
* Install TensorFlow 1.2 on macOS Sierra on MacBook (June 2017) [Link]([https://www.slideshare.net/pirahansiah/install-tensorflow-12-on-macos-sierra-on-macbook-june-2017](https://www.slideshare.net/pirahansiah/install-tensorflow-12-on-macos-sierra-on-macbook-june-2017) )
* Best Deep Learning Post from LinkedIn Group [Link]([https://www.slideshare.net/pirahansiah/best-deep-learning-post-from-linkedin-group](https://www.slideshare.net/pirahansiah/best-deep-learning-post-from-linkedin-group) )
* Install, Compile, Setup, Setting OpenCV 3.2, Visual C++ 2015, Win 64bit [Link]([https://www.slideshare.net/pirahansiah/install-compile-setup-setting-opencv-32-visual-c-2015-win-64bit](https://www.slideshare.net/pirahansiah/install-compile-setup-setting-opencv-32-visual-c-2015-win-64bit) )
* Layers in Deep Learning&Caffe layers (model architecture ) [Link]([https://www.slideshare.net/pirahansiah/layers-in-deep-learningcaffe-layers-model-architecture](https://www.slideshare.net/pirahansiah/layers-in-deep-learningcaffe-layers-model-architecture) )
* How to install Digits 5.1 on Ubuntu 14 [Link]([https://www.slideshare.net/pirahansiah/how-to-install-digits-51-on-ubuntu-14](https://www.slideshare.net/pirahansiah/how-to-install-digits-51-on-ubuntu-14) )
* Deep Learning for Video Analysis – part 1 (DeepStream SDK) [NVIDIA TensorRT || NVIDIA GPU Inference Engine (GIE)] [Link]([https://www.slideshare.net/pirahansiah/deep-learning-for-video-analysis-part-1-deepstream-sdk-nvidia-tensorrt-nvidia-gpu-inference-engine-gie](https://www.slideshare.net/pirahansiah/deep-learning-for-video-analysis-part-1-deepstream-sdk-nvidia-tensorrt-nvidia-gpu-inference-engine-gie) )
* Computer Vision, Deep Learning, OpenCV [Link]([https://www.slideshare.net/pirahansiah/computer-vision-deep-learning-opencv](https://www.slideshare.net/pirahansiah/computer-vision-deep-learning-opencv) )
###
Online Courses
* [Writing with Impact ](https://www.linkedin.com/learning/writing-with-impact)
* [Balancing Work and Life ](https://www.linkedin.com/learning/balancing-work-and-life)
* [Finance Foundations: Income Taxes ](https://www.linkedin.com/learning/finance-foundations-income-taxes-2)
* [Starting a Business with Family and Friends ](https://www.linkedin.com/learning/starting-a-business-with-family-and-friends)
* [Finance Essentials for Small Business ](https://www.linkedin.com/learning/finance-essentials-for-small-business)
* [Setting Up Your Small Business as a Legal Entity ](https://www.linkedin.com/learning/setting-up-your-small-business-as-a-legal-entity)
* [Creating a Business Plan ](https://www.linkedin.com/learning/creating-a-business-plan-2)
* [Understanding Business ](https://www.linkedin.com/learning/understanding-business)
* [Entrepreneurship: Finding and Testing Your Business Idea ](https://www.linkedin.com/learning/entrepreneurship-finding-and-testing-your-business-idea)
* [Guy Kawasaki on Entrepreneurship ](https://www.linkedin.com/learning/guy-kawasaki-on-entrepreneurship)
* [Financial Modeling Foundations ](https://www.linkedin.com/learning/financial-modeling-foundations)
* [Financial Accounting Foundations ](https://www.linkedin.com/learning/financial-accounting-foundations)
* [Strategic Planning Foundations ](https://www.linkedin.com/learning/strategic-planning-foundations)
* [5 Personal Finance Tips ](https://www.linkedin.com/learning/5-personal-finance-tips)
* [Investment Evaluation ](https://www.linkedin.com/learning/investment-evaluation)
* [Managing Your Personal Investments ](https://www.linkedin.com/learning/managing-your-personal-investments)
* [Financial Wellness: Managing Personal Cash Flow ](https://www.linkedin.com/learning/financial-wellness-managing-personal-cash-flow)
* [Financial Wellness for Couples and Families ](https://www.linkedin.com/learning/financial-wellness-for-couples-and-families)
* [Managing Your Personal Finances ](https://www.linkedin.com/learning/managing-your-personal-finances)
* [Finance Foundations ](https://www.linkedin.com/learning/finance-foundations-2)
* [Entrepreneurship Foundations ](https://www.linkedin.com/learning/entrepreneurship-foundations-2)
* [Introduction to Deep Learning with OpenCV ](https://www.linkedin.com/learning/introduction-to-deep-learning-with-opencv)
* [OpenCV for Python Developers ](https://www.linkedin.com/learning/opencv-for-python-developers)
* [Brad Feld on Validating Your Startup Idea ](https://www.linkedin.com/learning/brad-feld-on-validating-your-startup-idea)
* [Brad Feld on Raising Capital ](https://www.linkedin.com/learning/brad-feld-on-raising-capital)
* [Take a More Creative Approach to Problem-Solving ](https://www.linkedin.com/learning/take-a-more-creative-approach-to-problem-solving)
* [Professional Networking ](https://www.linkedin.com/learning/professional-networking)
* [Building Relationships While Working from Home ](https://www.linkedin.com/learning/building-relationships-while-working-from-home)
* [Entrepreneurship: Raising Startup Capital ](https://www.linkedin.com/learning/entrepreneurship-raising-startup-capital)
* [Business Analysis Foundations: Business Process Modeling ](https://www.linkedin.com/learning/business-analysis-foundations-business-process-modeling)
* [Communicating with Confidence ](https://www.linkedin.com/learning/communicating-with-confidence)
* [Machine Learning for iOS Developers ](https://www.linkedin.com/learning/machine-learning-for-ios-developers)
###
Learning path
* [Stay Ahead in Personal Finance ](https://www.linkedin.com/learning/paths/stay-ahead-in-personal-finance)
* [Become a Small Business Owner ](https://www.linkedin.com/learning/paths/become-a-small-business-owner)
#
Completed
###
Reference
[https://drive.google.com/file/d/1xd5TZlEZnUUieXzw3Lxn3Sv7MwIajU_W/view?usp=sharing](https://drive.google.com/file/d/1xd5TZlEZnUUieXzw3Lxn3Sv7MwIajU_W/view?usp=sharing)
###
Link of best Groups
* [LinkedIn: Computer Vision, Deep Learning, Deep Reinforcement Learning, GANs, OpenCV, Caffe, TensorFlow,PyTorch](https://www.linkedin.com/groups/10320678/)
* [Source code](https://gitlab.com/pirahansiah)
* [Facebook : Deep Learning, Computer Vision, Robotics ](https://web.facebook.com/groups/185926728115336/)
* [The link to one-note notebook ](https://1drv.ms/u/s!AhG15hrdT9JOgR5GZgPjve65F-e5)
* [GitHub](https://github.com/pirahansiah)
###
Books
* [The Art of Startup Fundraising](https://www.amazon.de/-/en/Alejandro-Cremades-ebook/dp/B01DQ3GY3Y)
* [Mathematics for Machine Learning](https://mml-book.github.io/)
* Principles of Economics (6th edition)
* The E-Myth Revisited Why Most Small Businesses Don't Work and What to Do About It
* Clean Code: A Handbook of Agile Software Craftsmanship (Robert C. Martin)
* Reinventing Your Life: The Breakthough Program to End Negative Behavior
* Ways Of Thinking: The Limits Of Rational Thought And Artificial Intelligence
* [https://images.kw.com/docs/2/1/2/212345/1285134779158_htwfaip.pdf](https://images.kw.com/docs/2/1/2/212345/1285134779158_htwfaip.pdf)
* * [Computer Vision: Algorithms and Applications](http://szeliski.org/Book/)
* [Multiple View Geometry in Computer Vision Second Edition](https://www.robots.ox.ac.uk/~vgg/hzbook/)
* [Complete to download the latest draft of Machine Learning Yearning](https://www.deeplearning.ai/machine-learning-yearning/)
* Multiple view geometry in computer vision
* Learning OpenCV Book by Adrian Kaehler and Gary Bradski
* Digital Image Processing, Global Edition by Rafael C. Gonzalez
* Introduction to Algorithms, 3rd Edition (The MIT Press)
* The Mythical Man-Month: Essays on Software Engineering
* [OpenCV-4-with-Python-Blueprints-Second-Edition](https://github.com/PacktPublishing/OpenCV-4-with-Python-Blueprints-Second-Edition)
###
Videos
* [https://www.youtube.com/computervisiondeeplearning](https://www.youtube.com/computervisiondeeplearning)
* [Two Minute Papers](https://www.youtube.com/c/K%C3%A1rolyZsolnai/videos)
* [Conference on Pattern Recognition](https://www.gcpr-vmv-vcbm-2020.uni-tuebingen.de/)
* [https://researchseminars.org/?fbclid=IwAR0Ly9WLONBMBteYI7IhlRaMYR_rQR6YrpdxLG_sUxPxGYKQhB0SOTmcjgY](https://researchseminars.org/?fbclid=IwAR0Ly9WLONBMBteYI7IhlRaMYR_rQR6YrpdxLG_sUxPxGYKQhB0SOTmcjgY)
###
Papers
* CALTag: High Precision Fiducial Markers for Camera
* Diatom Autofocusing in Brightfield Microscopy: a Comparative Study
* Analysis of focus measure operators in shape-from-focus
* Optical flow modeling and computation: A survey
* Toward general type 2 fuzzy logic systems based on zSlices
###
Site
* [Research Tools By: Nader Ale Ebrahim](https://www.mindmeister.com/39583892/research-tools-by-nader-ale-ebrahim?t=HMmnzlA4zN) ([MindMap](https://www.mindmeister.com/39583892/research-tools-by-nader-ale-ebrahim?fullscreen=1#))
Reference-
ComputerVisionDeepLearning.pdf
* [https://virgool.io/@r_alimorady/easy-install-cuda-document-hhk6nuylvl1w](https://virgool.io/@r_alimorady/easy-install-cuda-document-hhk6nuylvl1w)
* [https://techcommunity.microsoft.com/t5/azure-ai/introducing-multivariate-anomaly-detection/ba-p/2260679](https://techcommunity.microsoft.com/t5/azure-ai/introducing-multivariate-anomaly-detection/ba-p/2260679)
* [https://www.freertos.org/index.html](https://www.freertos.org/index.html)
* [https://en.wikipedia.org/wiki/Knowledge_distillation](https://en.wikipedia.org/wiki/Knowledge_distillation)
* [https://80000hours.org/2015/10/startup-salaries-and-equity-compensation/](https://80000hours.org/2015/10/startup-salaries-and-equity-compensation/)
* [https://www.thecvf.com/?page_id=413](https://www.thecvf.com/?page_id=413)
* [https://levelup.gitconnected.com/s-o-l-i-d-principles-explained-in-python-with-examples-83b2b43bdcde?gi=a1fee170c917](https://levelup.gitconnected.com/s-o-l-i-d-principles-explained-in-python-with-examples-83b2b43bdcde?gi=a1fee170c917)
* [https://arxiv.org/pdf/2104.13921.pdf](https://arxiv.org/pdf/2104.13921.pdf)
* [https://blog.paperspace.com/object-detection-directed-mask-r-cnn-keras/](https://blog.paperspace.com/object-detection-directed-mask-r-cnn-keras/)
* [https://pub.towardsai.net/will-transformers-replace-cnns-in-computer-vision-55657a196833](https://pub.towardsai.net/will-transformers-replace-cnns-in-computer-vision-55657a196833)
* [https://medium.com/@daviddelaiglesiacastro/3d-point-cloud-generation-from-3d-triangular-mesh-bbb602ecf238](https://medium.com/@daviddelaiglesiacastro/3d-point-cloud-generation-from-3d-triangular-mesh-bbb602ecf238)
*
[https://koinly.io/](https://koinly.io/)
site map: octopus.do
[https://www.startupgermany.nrw/startup-
contest/](https://www.startupgermany.nrw/startup-contest/)
[https://www.kickstarter.com/projects/opencv/opencv-ai-kit-oak-depth-
camera-4k-cv-edge-object-
detection/description](https://www.kickstarter.com/projects/opencv/opencv-ai-
kit-oak-depth-camera-4k-cv-edge-object-detection/description)
[HOW I GAINED 68,000 SUBSCRIBERS IN A YEAR! | My Strategy to Grow on YouTube
in 2021! - YouTube
](https://www.youtube.com/watch?v=bwd1dQr33K8&list=PLxC08P2Oexy2EJKezV02N9cp3-qOEh79Z)
[https://www.youtube.com/watch?v=bwd1dQr33K8&list=PLxC08P2Oexy2EJKezV02N9cp3-qOEh79Z](https://www.youtube.com/watch?v=bwd1dQr33K8&list=PLxC08P2Oexy2EJKezV02N9cp3-qOEh79Z)
[https://www.youtube.com/watch?v=cFdApmqlllg](https://www.youtube.com/watch?v=cFdApmqlllg)
[محمد رضا شجریان، آلبوم کامل در خیال -
YouTube](https://www.youtube.com/watch?v=cFdApmqlllg)
[دوره جامع گوگل آنالیتیکس(UA) |
آنالیتیپس](https://analytips.io/product/google-analyticsua/)
[رادیوگیک - شماره ۱۲۱ - ما این لارادیوگیک - شماره ۱۲۱ - ما این لا -
YouTube](https://www.youtube.com/watch?v=dzBLhio-DIc)
[Social Selling Index | Sales
Navigator](https://www.linkedin.com/sales/ssi?src=or-
search&veh=www.google.com)
[https://rschu.me/list-a-directory-with-tree-command-on-mac-
os-x-3b2d4c4a4827](https://rschu.me/list-a-directory-with-tree-command-on-mac-
os-x-3b2d4c4a4827)
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# Links
pirahansiah, Personal, Roadmap, Books, Online Courses
[](https://drive.google.com/open?id=1ELXvmqcSciCK8-TUVsyVRnYTuxnKta-_xze-
oXQexwY "Open Spreadsheet, Links in new window")
Links
Links from my research and interest
AI in RISC-V
Mixed reality
Old Links
Reference
Link Groups
Top website
Python
Computer Vision
Documents
Business
Tools
Patents
Books
Journal Papers
Conference Papers
Articles on LinkedIn
Slides slideshare
Online Courses
Learning path
Completed
Reference
Link of best Groups
Books
Videos
Papers
Site
Efficient Video Dataset Loading and Augmentation in PyTorch for deep learning
training loops.
GitHub[ https://lnkd.in/gpR8idsp](https://lnkd.in/gpR8idsp)
[https://remmina.org/how-to-install-remmina/](https://remmina.org/how-to-
install-remmina/)
[https://readme.so/](https://readme.so/)
#
Links from my research and interest
[Build Better Generative Adversarial Networks (GANs) - Andrew Ng -
2021](https://www.youtube.com/playlist?list=PLuv1FSpHurUfl44GWqaCzEhGP-aP_-
VnF)
[https://www.oreilly.com/library/view/flow-
architectures/9781492075882/](https://www.oreilly.com/library/view/flow-
architectures/9781492075882/)
##
AI in RISC-V
* [RISC-V hardware & software ecosystem highlights in 2020](https://www.cnx-software.com/2020/12/10/risc-v-hardware-software-ecosystem-highlights-in-2020)
##
Mixed reality
* [https://github.com/MIT-SPARK/Kimera](https://github.com/MIT-SPARK/Kimera)
* Kimera is a C++ library for real-time metric-semantic simultaneous localization and mapping, which uses camera images and inertial data to build a semantically annotated 3D mesh of the environment. Kimera is modular, ROS-enabled, and runs on a CPU.
#
Old Links
###
Reference
[https://drive.google.com/file/d/1xd5TZlEZnUUieXzw3Lxn3Sv7MwIajU_W/view?usp=sharing](https://drive.google.com/file/d/1xd5TZlEZnUUieXzw3Lxn3Sv7MwIajU_W/view?usp=sharing)
###
Link Groups
* [LinkedIn: Computer Vision, Deep Learning, Deep Reinforcement Learning, GANs, OpenCV, Caffe, TensorFlow,PyTorch](https://www.linkedin.com/groups/10320678/)
* [Source code](https://gitlab.com/pirahansiah)
* [Facebook : Deep Learning, Computer Vision, Robotics ](https://web.facebook.com/groups/185926728115336/)
* [The link to one-note notebook ](https://1drv.ms/u/s!AhG15hrdT9JOgR5GZgPjve65F-e5)
* [GitHub](https://github.com/pirahansiah)
###
Top website
* [https://paperswithcode.com/](https://paperswithcode.com/)
* [https://www.learnthepart.com/](https://www.learnthepart.com/)
* [https://hackaday.com/](https://hackaday.com/)
* [https://medium.com/@pirahansiah/timesaver-626019137fa9?sk=cde3334919d6c16ba0964fe021a24762](https://medium.com/@pirahansiah/timesaver-626019137fa9?sk=cde3334919d6c16ba0964fe021a24762)
* hbrew install youtube-dl
* [https://www.masterclass.com/](https://www.masterclass.com/)
* [Deep Learning for coders (2020)](https://www.youtube.com/user/howardjeremyp)
* [Deep Learning for Video](https://mcv-m6-video.github.io/deepvideo-2019/) (Master in Computer Vision Barcelona)
* [Augmented Reality using ArUco Markers in OpenCV (C++ / Python)](https://www.learnopencv.com/augmented-reality-using-aruco-markers-in-opencv-c-python/)
* [https://explainshell.com/](https://explainshell.com/)
* [https://stackoverflow.blog/2020/02/12/when-laziness-is-efficient-make-the-most-of-your-command-line/](https://stackoverflow.blog/2020/02/12/when-laziness-is-efficient-make-the-most-of-your-command-line/?utm_source=Iterable&utm_medium=email&utm_campaign=the_overflow_newsletter&utm_content=02-19-20)
* [https://link.medium.com/XA49Ke0Jt4](https://link.medium.com/XA49Ke0Jt4)
* [https://link.medium.com/Np0YEy1Jt4](https://link.medium.com/Np0YEy1Jt4)
###
Python
* [How to Write Beautiful Python Code With PEP 8](https://realpython.com/python-pep8/)
* [PEP 622 -- Structural Pattern Matching](https://www.python.org/dev/peps/pep-0622/)
* [Monitor Your Dependencies! Stop Being A Blind Data-Scientist.](https://towardsdatascience.com/monitor-your-dependencies-stop-being-a-blind-data-scientist-a3150bd64594)
###
Computer Vision
* [Hybrid CV/DL pipelines with OpenCV 4.4 G-API](https://opencv.org/hybrid-cv-dl-pipelines-with-opencv-4-4-g-api/)
* [PaddleDetection is an end-to-end object detection development kit based on PaddlePaddle, which aims to help developers in the whole development of training models, optimizing performance and inference speed, and deploying models. ](https://github.com/PaddlePaddle/PaddleDetection/blob/release/0.4/README_en.md)
* [https://github.com/google/mediapipe](https://github.com/google/mediapipe)
###
Documents
* [https://book.keybase.io/docs](https://book.keybase.io/docs)
* [kind is a tool for running local Kubernetes clusters using Docker container "nodes".](https://github.com/kubernetes-sigs/kind)
* [FINN is an experimental framework from Xilinx Research Labs to explore deep neural network inference on FPGAs. ](https://xilinx.github.io/finn/)
* [Gitter is a chat and networking platform that helps to manage, grow and connect communities through messaging, content and discovery.](https://gitter.im/)
* [Fair and useful benchmarks for measuring training and inference performance of ML hardware, software, and services.](https://mlperf.org/)
* [https://kepler.gl/demo](https://kepler.gl/demo)
* [Open source, highly available Prometheus setup with long term storage capabilities.](https://thanos.io/)
* [Deep Learning Design Patterns - Jr Data Scientist - Part 3 - Alternative Connectivity Patterns](https://www.youtube.com/watch?v=JI-MButCqUE)
###
Business
* [5 Ways to Make More Money as a Coach or Consultant](https://www.entrepreneur.com/article/283006)
* [https://www.youtube.com/watch?v=njx09wXb9o0&list=PLnhdsL4kFmVYMNq6F8k8UiFkc6fwIdk3o&index=5](https://www.youtube.com/watch?v=njx09wXb9o0&list=PLnhdsL4kFmVYMNq6F8k8UiFkc6fwIdk3o&index=5)
###
Tools
* Free convert video for mac opensource
* [https://github.com/HandBrake/HandBrake](https://github.com/HandBrake/HandBrake)
* [https://handbrake.fr/rotation.php?file=HandBrake-1.3.3.dmg](https://handbrake.fr/rotation.php?file=HandBrake-1.3.3.dmg)
* [global-gitignore.md](https://gist.github.com/subfuzion/db7f57fff2fb6998a16c)
* [https://nextbillion.ai/](https://nextbillion.ai/) Mapping platform built for enterprises
* [https://github.com/ondras/my-mind](https://github.com/ondras/my-mind) MindMap
* [Create and share beautiful images of your source code.](https://carbon.now.sh/)
* [Web IDE](https://replit.com/templates)
* [https://github.com/jely2002/youtube-dl-gui/releases/tag/v2.2.2](https://github.com/jely2002/youtube-dl-gui/releases/tag/v2.2.2)
###
Patents
[https://patents.google.com/?inventor=pirahansiah&oq=pirahansiah](https://patents.google.com/?inventor=pirahansiah&oq=pirahansiah)
1. System and method for providing advertisement contents based on facial analysis (WO2020141969A2)
2. A method for augmenting a plurality of face images (WO2021060971A1)
3. A method for detecting a moving vehicle (WO2021107761A1)
1. System and method for providing advertisement contents based on facial analysis (WO2020141969A2)
The present invention relates to a system (100) for providing advertisement
contents based on facial analysis comprising an image acquisition device (10)
to acquire an image of a user, a face detection module (20) to detect face of
the user in the image, an analysis module (40) to analyse the facial features
statistically using classification models retrieved from a classification
module (30), a database (60) to store matching rules, weighted advertisements
and a plurality of advertisement contents; and a display device (80) to
display the advertisement contents. The system (100) further comprises a
computation module (50) to compute weighted image of the user and a matching
module (70) to match the weighted image of the user with the weighted
advertisement to select an advertisement content based on facial analysis of
the user. A method of providing the advertisement contents based on facial
analysis is also provided thereof.
[https://patentimages.storage.googleapis.com/ff/3f/a5/e7b42ef58d8a03/WO2020141969A2.pdf](https://patentimages.storage.googleapis.com/ff/3f/a5/e7b42ef58d8a03/WO2020141969A2.pdf)
2. A method for augmenting a plurality of face images (WO2021060971A1)
The present invention relates to a method for increasing data for face
analysis in video surveillance. The method comprises the steps of acquiring at
least one face image from an image acquisition module (102), acquiring a
plurality of face images available on the internet using a data input module
(104), increasing face images by at least one data augmentation module (106
and 107), generating a plurality of face images based on a trained Generative
Adversarial Network, GAN technique by using a GAN module, selecting proper
images based on quality of the face images using a fuzzy logic module (111),
saving the selected images into a fifth database, and training the deep
learning module (113).
[https://patentimages.storage.googleapis.com/b8/d9/7f/ea8a5b789e1dad/WO2021060971A1.pdf](https://patentimages.storage.googleapis.com/b8/d9/7f/ea8a5b789e1dad/WO2021060971A1.pdf)
3. A method for detecting a moving vehicle (WO2021107761A1)
The present invention relates to a method for detecting a moving vehicle. The
method comprises the steps of grabbing an initial image from a video stream by
a vehicle detection module (1100), wherein the vehicle detection module (1100)
is a part of a system (1000) to identify moving vehicle, enhancing the
illumination of the initial image by the vehicle detection module (1100),
enhancing the edges within the initial image by the vehicle detection module
(1100), and finding vehicle based on homogenous properties of the body of the
vehicle by the vehicle detection module (1100). The step of finding vehicle
based on homogenous property of the body of the vehicle by the vehicle
detection module (1100) further comprising the sub-steps of closing open
edges, inverting the binary image, segmenting an inverted binary image,
filtering the noise based on geometric feature, and filtering the noise based
on relation.
[https://patentimages.storage.googleapis.com/16/41/83/2576e20c4a0af5/WO2021107761A1.pdf](https://patentimages.storage.googleapis.com/16/41/83/2576e20c4a0af5/WO2021107761A1.pdf)
###
Books
1. [book chapter titled “Camera Calibration and Video Stabilization Framework for Robot Localization” in the Book entitled “Control Engineering in Robotics and Industrial Automation" which will be published (24/07/2021) in Springer. ](https://www.waterstones.com/book/control-engineering-in-robotics-and-industrial-automation/muralindran-mariappan/mohd-rizal-arshad/9783030745394)
2. [book chapter titled “Augmented Optical Flow Methods for Video Stabilization", In Computational Intelligence: from theory to application. (2017) (p18). ](http://www.ukm.my/penerbit/penerbitan-2017/)
###
Journal Papers
* Using An Ant Colony Optimization Algorithm For Image Edge Detection As A Threshold Segmentation For OCR System Journal of Theoretical & Applied Information Technology, 95(21)
* * [http://www.jatit.org/volumes/Vol95No21/1Vol95No21.pdf](http://www.jatit.org/volumes/Vol95No21/1Vol95No21.pdf)
* GSFT-PSNR: Global Single Fuzzy Threshold Based on PSNR for OCR Systems, International Journal of Computer Science and Network Solutions 4(6)
* * [https://www.ijcsns.com/June.2016-Volume.4-No.6/Article01.pdf](https://www.ijcsns.com/June.2016-Volume.4-No.6/Article01.pdf)
* Adaptive Image Thresholding based On the Peak Signal-To-Noise Ratio, Research Journal of Applied Sciences, Engineering and Technology 8(9).
* * [http://www.academia.edu/download/44161592/Adaptive_Image_Thresholding_Based_on_the20160328-31366-1wyb1jc.pdf](http://www.academia.edu/download/44161592/Adaptive_Image_Thresholding_Based_on_the20160328-31366-1wyb1jc.pdf)
* Simultaneous Localization and Mapping Trends and Humanoid Robot Linkages, Asia-Pacific Journal of Information Technology and Multimedia (APJITM)
* * [http://journalarticle.ukm.my/6644/1/4429-10302-1-SM.pdf](http://journalarticle.ukm.my/6644/1/4429-10302-1-SM.pdf)
* Peak Signal-To-Noise Ratio Based On Threshold Method for Image Segmentation, Journal of Theoretical & Applied Information Technology, 57(2)
* * [http://www.jatit.org/volumes/Vol57No2/4Vol57No2.pdf](http://www.jatit.org/volumes/Vol57No2/4Vol57No2.pdf)
* Character recognition based on global feature extraction; Journal of Theoretical and Applied Information Technology 52
* * [http://www.jatit.org/volumes/Vol52No2/6Vol52No2.pdf](http://www.jatit.org/volumes/Vol52No2/6Vol52No2.pdf)
###
Conference Papers
* Pattern Image Significance for Camera Calibration, IEEE Student Conference on Research and Development (SCOReD 2017)
* [http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8305440&isnumber=8305342](http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8305440&isnumber=8305342)
* Augmented optical flow methods for video stabilization. 4th Artificial Intelligence Technology Postgraduate Seminar (CAITPS 2015)
* [http://www.academia.edu/download/45596617/farshid.pdf](http://www.academia.edu/download/45596617/farshid.pdf)
* Auto-Calibration for Multi-Modal Robot Vision based on Image Quality Assessment, The 10th Asian Control Conference (ASCC 2015)
* [https://doi.org/10.1109/ASCC.2015.7360336](https://doi.org/10.1109/ASCC.2015.7360336)
* 2D versus 3D Map for Environment Movement Objects, Second National Doctoral Seminar in Artificial Intelligence Technology (CAIT 2012)
* [http://www.ftsm.ukm.my/cait2012/images/Program%20Schedule%20CAIT2012.pdf](http://www.ftsm.ukm.my/cait2012/images/Program%20Schedule%20CAIT2012.pdf)
* Comparison Single Thresholding Method for Image Segmentation on Handwritten Images, International Conference on Pattern Analysis and Intelligent Robotics
* [https://doi.org/10.1109/ICPAIR.2011.5976918](https://doi.org/10.1109/ICPAIR.2011.5976918)
* License Plate Recognition with Multi-Threshold Based on Entropy, 3rd International Conference on Electrical Engineering and Informatics (ICEEI 2011)
* [https://doi.org/10.1109/ICEEI.2011.6021627](https://doi.org/10.1109/ICEEI.2011.6021627)
* Character recognition based on global feature extraction, 3rd International Conference On Electrical Engineering and Informatics (ICEEI 2011)
* [https://pdfs.semanticscholar.org/2d22/66bfb2f5ba5cb40b5946b82c620dc713d793.pdf](https://pdfs.semanticscholar.org/2d22/66bfb2f5ba5cb40b5946b82c620dc713d793.pdf)
* [https://doi.org/10.1109/ICEEI.2011.6021649](https://doi.org/10.1109/ICEEI.2011.6021649)
* Tafresh Grid: Grid computing in Tafresh university," 2011 IEEE 3rd International Conference on Communication Software and Networks, Xi'an, 2011, pp. 83-85.
* [http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6014009&isnumber=6013532](http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6014009&isnumber=6013532)
* Adaptive image segmentation based on Peak Signal to Noise Ratio for a license plate Recognition system, International Conference on Computer Applications and Industrial Electronics (ICCAIE 2010)
* [https://doi.org/10.1109/ICCAIE.2010.5735125](https://doi.org/10.1109/ICCAIE.2010.5735125)
* [http://www.academia.edu/download/44161592/Adaptive_Image_Thresholding_Based_on_the20160328-31366-1wyb1jc.pdf](http://www.academia.edu/download/44161592/Adaptive_Image_Thresholding_Based_on_the20160328-31366-1wyb1jc.pdf)
* Multi-threshold approach for license plate recognition system, International Conference on Signal and Image Processing WASET ICSIP 2010:1046-1050
* [http://waset.org/publications/3636](http://waset.org/publications/3636)
* An evaluation of classification techniques using enhanced Geometrical Topological Feature Analysis, 2nd Malaysian Joint Conference on Artificial Intelligence (MJCAI 2010)
* [https://scholar.google.com/scholar?oi=bibs&cluster=3038184255311332521&btnI=1&hl=en](https://scholar.google.com/scholar?oi=bibs&cluster=3038184255311332521&btnI=1&hl=en)
###
Articles on LinkedIn
* [ADRL: Advanced Deep Reinforcement Learning {Patents and papers; Main point summary on recently published research on DRL} (draft version Feb 2019) ]([https://www.linkedin.com/pulse/patents-papers-adrl-advanced-deep-reinforcement-feb-pirahansiah-phd/](https://www.linkedin.com/pulse/patents-papers-adrl-advanced-deep-reinforcement-feb-pirahansiah-phd/))
* [The most important research papers for deep learning (updated December, 2017)]([https://www.linkedin.com/pulse/most-important-research-papers-deep-learning-updated-2017-farshid/](https://www.linkedin.com/pulse/most-important-research-papers-deep-learning-updated-2017-farshid/) )
* [List of useful links (Videos, Slides, Articles) for Deep Learning ]([https://www.linkedin.com/pulse/list-useful-links-videos-slides-articles-deep-farshid-pirahansiah/](https://www.linkedin.com/pulse/list-useful-links-videos-slides-articles-deep-farshid-pirahansiah/))
* [Autonomous driving vehicles (Computer Vision, Deep Learning)]([https://www.linkedin.com/pulse/autonomous-driving-vehicles-computer-vision-deep-farshid-pirahansiah-1/](https://www.linkedin.com/pulse/autonomous-driving-vehicles-computer-vision-deep-farshid-pirahansiah-1/)
* [Thresholding]([https://www.linkedin.com/pulse/thresholding-farshid-pirahansiah/](https://www.linkedin.com/pulse/thresholding-farshid-pirahansiah/)
###
Slides slideshare
* Deep Learning for Computer Vision in Ubuntu 19; Part 1 installation [Link]([https://www.slideshare.net/pirahansiah/deep-learning-for-computer-vision-in-ubuntu-19-part-1-installation](https://www.slideshare.net/pirahansiah/deep-learning-for-computer-vision-in-ubuntu-19-part-1-installation)
* Using Deep Learning for Computer Vision Applications [Link]([https://www.slideshare.net/pirahansiah/using-deep-learning-for-computer-vision-applications](https://www.slideshare.net/pirahansiah/using-deep-learning-for-computer-vision-applications) )
* tensorflow1.3 digits6.0 Caffe [Link]([https://www.slideshare.net/pirahansiah/farshid-tensorflow13-digits60caffe](https://www.slideshare.net/pirahansiah/farshid-tensorflow13-digits60caffe) )
* Install TensorFlow 1.2 on macOS Sierra on MacBook (June 2017) [Link]([https://www.slideshare.net/pirahansiah/install-tensorflow-12-on-macos-sierra-on-macbook-june-2017](https://www.slideshare.net/pirahansiah/install-tensorflow-12-on-macos-sierra-on-macbook-june-2017) )
* Best Deep Learning Post from LinkedIn Group [Link]([https://www.slideshare.net/pirahansiah/best-deep-learning-post-from-linkedin-group](https://www.slideshare.net/pirahansiah/best-deep-learning-post-from-linkedin-group) )
* Install, Compile, Setup, Setting OpenCV 3.2, Visual C++ 2015, Win 64bit [Link]([https://www.slideshare.net/pirahansiah/install-compile-setup-setting-opencv-32-visual-c-2015-win-64bit](https://www.slideshare.net/pirahansiah/install-compile-setup-setting-opencv-32-visual-c-2015-win-64bit) )
* Layers in Deep Learning&Caffe layers (model architecture ) [Link]([https://www.slideshare.net/pirahansiah/layers-in-deep-learningcaffe-layers-model-architecture](https://www.slideshare.net/pirahansiah/layers-in-deep-learningcaffe-layers-model-architecture) )
* How to install Digits 5.1 on Ubuntu 14 [Link]([https://www.slideshare.net/pirahansiah/how-to-install-digits-51-on-ubuntu-14](https://www.slideshare.net/pirahansiah/how-to-install-digits-51-on-ubuntu-14) )
* Deep Learning for Video Analysis – part 1 (DeepStream SDK) [NVIDIA TensorRT || NVIDIA GPU Inference Engine (GIE)] [Link]([https://www.slideshare.net/pirahansiah/deep-learning-for-video-analysis-part-1-deepstream-sdk-nvidia-tensorrt-nvidia-gpu-inference-engine-gie](https://www.slideshare.net/pirahansiah/deep-learning-for-video-analysis-part-1-deepstream-sdk-nvidia-tensorrt-nvidia-gpu-inference-engine-gie) )
* Computer Vision, Deep Learning, OpenCV [Link]([https://www.slideshare.net/pirahansiah/computer-vision-deep-learning-opencv](https://www.slideshare.net/pirahansiah/computer-vision-deep-learning-opencv) )
###
Online Courses
* [Writing with Impact ](https://www.linkedin.com/learning/writing-with-impact)
* [Balancing Work and Life ](https://www.linkedin.com/learning/balancing-work-and-life)
* [Finance Foundations: Income Taxes ](https://www.linkedin.com/learning/finance-foundations-income-taxes-2)
* [Starting a Business with Family and Friends ](https://www.linkedin.com/learning/starting-a-business-with-family-and-friends)
* [Finance Essentials for Small Business ](https://www.linkedin.com/learning/finance-essentials-for-small-business)
* [Setting Up Your Small Business as a Legal Entity ](https://www.linkedin.com/learning/setting-up-your-small-business-as-a-legal-entity)
* [Creating a Business Plan ](https://www.linkedin.com/learning/creating-a-business-plan-2)
* [Understanding Business ](https://www.linkedin.com/learning/understanding-business)
* [Entrepreneurship: Finding and Testing Your Business Idea ](https://www.linkedin.com/learning/entrepreneurship-finding-and-testing-your-business-idea)
* [Guy Kawasaki on Entrepreneurship ](https://www.linkedin.com/learning/guy-kawasaki-on-entrepreneurship)
* [Financial Modeling Foundations ](https://www.linkedin.com/learning/financial-modeling-foundations)
* [Financial Accounting Foundations ](https://www.linkedin.com/learning/financial-accounting-foundations)
* [Strategic Planning Foundations ](https://www.linkedin.com/learning/strategic-planning-foundations)
* [5 Personal Finance Tips ](https://www.linkedin.com/learning/5-personal-finance-tips)
* [Investment Evaluation ](https://www.linkedin.com/learning/investment-evaluation)
* [Managing Your Personal Investments ](https://www.linkedin.com/learning/managing-your-personal-investments)
* [Financial Wellness: Managing Personal Cash Flow ](https://www.linkedin.com/learning/financial-wellness-managing-personal-cash-flow)
* [Financial Wellness for Couples and Families ](https://www.linkedin.com/learning/financial-wellness-for-couples-and-families)
* [Managing Your Personal Finances ](https://www.linkedin.com/learning/managing-your-personal-finances)
* [Finance Foundations ](https://www.linkedin.com/learning/finance-foundations-2)
* [Entrepreneurship Foundations ](https://www.linkedin.com/learning/entrepreneurship-foundations-2)
* [Introduction to Deep Learning with OpenCV ](https://www.linkedin.com/learning/introduction-to-deep-learning-with-opencv)
* [OpenCV for Python Developers ](https://www.linkedin.com/learning/opencv-for-python-developers)
* [Brad Feld on Validating Your Startup Idea ](https://www.linkedin.com/learning/brad-feld-on-validating-your-startup-idea)
* [Brad Feld on Raising Capital ](https://www.linkedin.com/learning/brad-feld-on-raising-capital)
* [Take a More Creative Approach to Problem-Solving ](https://www.linkedin.com/learning/take-a-more-creative-approach-to-problem-solving)
* [Professional Networking ](https://www.linkedin.com/learning/professional-networking)
* [Building Relationships While Working from Home ](https://www.linkedin.com/learning/building-relationships-while-working-from-home)
* [Entrepreneurship: Raising Startup Capital ](https://www.linkedin.com/learning/entrepreneurship-raising-startup-capital)
* [Business Analysis Foundations: Business Process Modeling ](https://www.linkedin.com/learning/business-analysis-foundations-business-process-modeling)
* [Communicating with Confidence ](https://www.linkedin.com/learning/communicating-with-confidence)
* [Machine Learning for iOS Developers ](https://www.linkedin.com/learning/machine-learning-for-ios-developers)
###
Learning path
* [Stay Ahead in Personal Finance ](https://www.linkedin.com/learning/paths/stay-ahead-in-personal-finance)
* [Become a Small Business Owner ](https://www.linkedin.com/learning/paths/become-a-small-business-owner)
#
Completed
###
Reference
[https://drive.google.com/file/d/1xd5TZlEZnUUieXzw3Lxn3Sv7MwIajU_W/view?usp=sharing](https://drive.google.com/file/d/1xd5TZlEZnUUieXzw3Lxn3Sv7MwIajU_W/view?usp=sharing)
###
Link of best Groups
* [LinkedIn: Computer Vision, Deep Learning, Deep Reinforcement Learning, GANs, OpenCV, Caffe, TensorFlow,PyTorch](https://www.linkedin.com/groups/10320678/)
* [Source code](https://gitlab.com/pirahansiah)
* [Facebook : Deep Learning, Computer Vision, Robotics ](https://web.facebook.com/groups/185926728115336/)
* [The link to one-note notebook ](https://1drv.ms/u/s!AhG15hrdT9JOgR5GZgPjve65F-e5)
* [GitHub](https://github.com/pirahansiah)
###
Books
* [The Art of Startup Fundraising](https://www.amazon.de/-/en/Alejandro-Cremades-ebook/dp/B01DQ3GY3Y)
* [Mathematics for Machine Learning](https://mml-book.github.io/)
* Principles of Economics (6th edition)
* The E-Myth Revisited Why Most Small Businesses Don't Work and What to Do About It
* Clean Code: A Handbook of Agile Software Craftsmanship (Robert C. Martin)
* Reinventing Your Life: The Breakthough Program to End Negative Behavior
* Ways Of Thinking: The Limits Of Rational Thought And Artificial Intelligence
* [https://images.kw.com/docs/2/1/2/212345/1285134779158_htwfaip.pdf](https://images.kw.com/docs/2/1/2/212345/1285134779158_htwfaip.pdf)
* * [Computer Vision: Algorithms and Applications](http://szeliski.org/Book/)
* [Multiple View Geometry in Computer Vision Second Edition](https://www.robots.ox.ac.uk/~vgg/hzbook/)
* [Complete to download the latest draft of Machine Learning Yearning](https://www.deeplearning.ai/machine-learning-yearning/)
* Multiple view geometry in computer vision
* Learning OpenCV Book by Adrian Kaehler and Gary Bradski
* Digital Image Processing, Global Edition by Rafael C. Gonzalez
* Introduction to Algorithms, 3rd Edition (The MIT Press)
* The Mythical Man-Month: Essays on Software Engineering
* [OpenCV-4-with-Python-Blueprints-Second-Edition](https://github.com/PacktPublishing/OpenCV-4-with-Python-Blueprints-Second-Edition)
###
Videos
* [https://www.youtube.com/computervisiondeeplearning](https://www.youtube.com/computervisiondeeplearning)
* [Two Minute Papers](https://www.youtube.com/c/K%C3%A1rolyZsolnai/videos)
* [Conference on Pattern Recognition](https://www.gcpr-vmv-vcbm-2020.uni-tuebingen.de/)
* [https://researchseminars.org/?fbclid=IwAR0Ly9WLONBMBteYI7IhlRaMYR_rQR6YrpdxLG_sUxPxGYKQhB0SOTmcjgY](https://researchseminars.org/?fbclid=IwAR0Ly9WLONBMBteYI7IhlRaMYR_rQR6YrpdxLG_sUxPxGYKQhB0SOTmcjgY)
###
Papers
* CALTag: High Precision Fiducial Markers for Camera
* Diatom Autofocusing in Brightfield Microscopy: a Comparative Study
* Analysis of focus measure operators in shape-from-focus
* Optical flow modeling and computation: A survey
* Toward general type 2 fuzzy logic systems based on zSlices
###
Site
* [Research Tools By: Nader Ale Ebrahim](https://www.mindmeister.com/39583892/research-tools-by-nader-ale-ebrahim?t=HMmnzlA4zN) ([MindMap](https://www.mindmeister.com/39583892/research-tools-by-nader-ale-ebrahim?fullscreen=1#))
Reference-
ComputerVisionDeepLearning.pdf
* [https://virgool.io/@r_alimorady/easy-install-cuda-document-hhk6nuylvl1w](https://virgool.io/@r_alimorady/easy-install-cuda-document-hhk6nuylvl1w)
* [https://techcommunity.microsoft.com/t5/azure-ai/introducing-multivariate-anomaly-detection/ba-p/2260679](https://techcommunity.microsoft.com/t5/azure-ai/introducing-multivariate-anomaly-detection/ba-p/2260679)
* [https://www.freertos.org/index.html](https://www.freertos.org/index.html)
* [https://en.wikipedia.org/wiki/Knowledge_distillation](https://en.wikipedia.org/wiki/Knowledge_distillation)
* [https://80000hours.org/2015/10/startup-salaries-and-equity-compensation/](https://80000hours.org/2015/10/startup-salaries-and-equity-compensation/)
* [https://www.thecvf.com/?page_id=413](https://www.thecvf.com/?page_id=413)
* [https://levelup.gitconnected.com/s-o-l-i-d-principles-explained-in-python-with-examples-83b2b43bdcde?gi=a1fee170c917](https://levelup.gitconnected.com/s-o-l-i-d-principles-explained-in-python-with-examples-83b2b43bdcde?gi=a1fee170c917)
* [https://arxiv.org/pdf/2104.13921.pdf](https://arxiv.org/pdf/2104.13921.pdf)
* [https://blog.paperspace.com/object-detection-directed-mask-r-cnn-keras/](https://blog.paperspace.com/object-detection-directed-mask-r-cnn-keras/)
* [https://pub.towardsai.net/will-transformers-replace-cnns-in-computer-vision-55657a196833](https://pub.towardsai.net/will-transformers-replace-cnns-in-computer-vision-55657a196833)
* [https://medium.com/@daviddelaiglesiacastro/3d-point-cloud-generation-from-3d-triangular-mesh-bbb602ecf238](https://medium.com/@daviddelaiglesiacastro/3d-point-cloud-generation-from-3d-triangular-mesh-bbb602ecf238)
*
[https://koinly.io/](https://koinly.io/)
site map: octopus.do
[https://www.startupgermany.nrw/startup-
contest/](https://www.startupgermany.nrw/startup-contest/)
[https://www.kickstarter.com/projects/opencv/opencv-ai-kit-oak-depth-
camera-4k-cv-edge-object-
detection/description](https://www.kickstarter.com/projects/opencv/opencv-ai-
kit-oak-depth-camera-4k-cv-edge-object-detection/description)
[HOW I GAINED 68,000 SUBSCRIBERS IN A YEAR! | My Strategy to Grow on YouTube
in 2021! - YouTube
](https://www.youtube.com/watch?v=bwd1dQr33K8&list=PLxC08P2Oexy2EJKezV02N9cp3-qOEh79Z)
[https://www.youtube.com/watch?v=bwd1dQr33K8&list=PLxC08P2Oexy2EJKezV02N9cp3-qOEh79Z](https://www.youtube.com/watch?v=bwd1dQr33K8&list=PLxC08P2Oexy2EJKezV02N9cp3-qOEh79Z)
[https://www.youtube.com/watch?v=cFdApmqlllg](https://www.youtube.com/watch?v=cFdApmqlllg)
[محمد رضا شجریان، آلبوم کامل در خیال -
YouTube](https://www.youtube.com/watch?v=cFdApmqlllg)
[دوره جامع گوگل آنالیتیکس(UA) |
آنالیتیپس](https://analytips.io/product/google-analyticsua/)
[رادیوگیک - شماره ۱۲۱ - ما این لارادیوگیک - شماره ۱۲۱ - ما این لا -
YouTube](https://www.youtube.com/watch?v=dzBLhio-DIc)
[Social Selling Index | Sales
Navigator](https://www.linkedin.com/sales/ssi?src=or-
search&veh=www.google.com)
[https://rschu.me/list-a-directory-with-tree-command-on-mac-
os-x-3b2d4c4a4827](https://rschu.me/list-a-directory-with-tree-command-on-mac-
os-x-3b2d4c4a4827)
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# Links
pirahansiah, Personal, Roadmap, Books, Online Courses
[](https://drive.google.com/open?id=1ELXvmqcSciCK8-TUVsyVRnYTuxnKta-_xze-
oXQexwY "Open Spreadsheet, Links in new window")
Links
Links from my research and interest
AI in RISC-V
Mixed reality
Old Links
Reference
Link Groups
Top website
Python
Computer Vision
Documents
Business
Tools
Patents
Books
Journal Papers
Conference Papers
Articles on LinkedIn
Slides slideshare
Online Courses
Learning path
Completed
Reference
Link of best Groups
Books
Videos
Papers
Site
Efficient Video Dataset Loading and Augmentation in PyTorch for deep learning
training loops.
GitHub[ https://lnkd.in/gpR8idsp](https://lnkd.in/gpR8idsp)
[https://remmina.org/how-to-install-remmina/](https://remmina.org/how-to-
install-remmina/)
[https://readme.so/](https://readme.so/)
#
Links from my research and interest
[Build Better Generative Adversarial Networks (GANs) - Andrew Ng -
2021](https://www.youtube.com/playlist?list=PLuv1FSpHurUfl44GWqaCzEhGP-aP_-
VnF)
[https://www.oreilly.com/library/view/flow-
architectures/9781492075882/](https://www.oreilly.com/library/view/flow-
architectures/9781492075882/)
##
AI in RISC-V
* [RISC-V hardware & software ecosystem highlights in 2020](https://www.cnx-software.com/2020/12/10/risc-v-hardware-software-ecosystem-highlights-in-2020)
##
Mixed reality
* [https://github.com/MIT-SPARK/Kimera](https://github.com/MIT-SPARK/Kimera)
* Kimera is a C++ library for real-time metric-semantic simultaneous localization and mapping, which uses camera images and inertial data to build a semantically annotated 3D mesh of the environment. Kimera is modular, ROS-enabled, and runs on a CPU.
#
Old Links
###
Reference
[https://drive.google.com/file/d/1xd5TZlEZnUUieXzw3Lxn3Sv7MwIajU_W/view?usp=sharing](https://drive.google.com/file/d/1xd5TZlEZnUUieXzw3Lxn3Sv7MwIajU_W/view?usp=sharing)
###
Link Groups
* [LinkedIn: Computer Vision, Deep Learning, Deep Reinforcement Learning, GANs, OpenCV, Caffe, TensorFlow,PyTorch](https://www.linkedin.com/groups/10320678/)
* [Source code](https://gitlab.com/pirahansiah)
* [Facebook : Deep Learning, Computer Vision, Robotics ](https://web.facebook.com/groups/185926728115336/)
* [The link to one-note notebook ](https://1drv.ms/u/s!AhG15hrdT9JOgR5GZgPjve65F-e5)
* [GitHub](https://github.com/pirahansiah)
###
Top website
* [https://paperswithcode.com/](https://paperswithcode.com/)
* [https://www.learnthepart.com/](https://www.learnthepart.com/)
* [https://hackaday.com/](https://hackaday.com/)
* [https://medium.com/@pirahansiah/timesaver-626019137fa9?sk=cde3334919d6c16ba0964fe021a24762](https://medium.com/@pirahansiah/timesaver-626019137fa9?sk=cde3334919d6c16ba0964fe021a24762)
* hbrew install youtube-dl
* [https://www.masterclass.com/](https://www.masterclass.com/)
* [Deep Learning for coders (2020)](https://www.youtube.com/user/howardjeremyp)
* [Deep Learning for Video](https://mcv-m6-video.github.io/deepvideo-2019/) (Master in Computer Vision Barcelona)
* [Augmented Reality using ArUco Markers in OpenCV (C++ / Python)](https://www.learnopencv.com/augmented-reality-using-aruco-markers-in-opencv-c-python/)
* [https://explainshell.com/](https://explainshell.com/)
* [https://stackoverflow.blog/2020/02/12/when-laziness-is-efficient-make-the-most-of-your-command-line/](https://stackoverflow.blog/2020/02/12/when-laziness-is-efficient-make-the-most-of-your-command-line/?utm_source=Iterable&utm_medium=email&utm_campaign=the_overflow_newsletter&utm_content=02-19-20)
* [https://link.medium.com/XA49Ke0Jt4](https://link.medium.com/XA49Ke0Jt4)
* [https://link.medium.com/Np0YEy1Jt4](https://link.medium.com/Np0YEy1Jt4)
###
Python
* [How to Write Beautiful Python Code With PEP 8](https://realpython.com/python-pep8/)
* [PEP 622 -- Structural Pattern Matching](https://www.python.org/dev/peps/pep-0622/)
* [Monitor Your Dependencies! Stop Being A Blind Data-Scientist.](https://towardsdatascience.com/monitor-your-dependencies-stop-being-a-blind-data-scientist-a3150bd64594)
###
Computer Vision
* [Hybrid CV/DL pipelines with OpenCV 4.4 G-API](https://opencv.org/hybrid-cv-dl-pipelines-with-opencv-4-4-g-api/)
* [PaddleDetection is an end-to-end object detection development kit based on PaddlePaddle, which aims to help developers in the whole development of training models, optimizing performance and inference speed, and deploying models. ](https://github.com/PaddlePaddle/PaddleDetection/blob/release/0.4/README_en.md)
* [https://github.com/google/mediapipe](https://github.com/google/mediapipe)
###
Documents
* [https://book.keybase.io/docs](https://book.keybase.io/docs)
* [kind is a tool for running local Kubernetes clusters using Docker container "nodes".](https://github.com/kubernetes-sigs/kind)
* [FINN is an experimental framework from Xilinx Research Labs to explore deep neural network inference on FPGAs. ](https://xilinx.github.io/finn/)
* [Gitter is a chat and networking platform that helps to manage, grow and connect communities through messaging, content and discovery.](https://gitter.im/)
* [Fair and useful benchmarks for measuring training and inference performance of ML hardware, software, and services.](https://mlperf.org/)
* [https://kepler.gl/demo](https://kepler.gl/demo)
* [Open source, highly available Prometheus setup with long term storage capabilities.](https://thanos.io/)
* [Deep Learning Design Patterns - Jr Data Scientist - Part 3 - Alternative Connectivity Patterns](https://www.youtube.com/watch?v=JI-MButCqUE)
###
Business
* [5 Ways to Make More Money as a Coach or Consultant](https://www.entrepreneur.com/article/283006)
* [https://www.youtube.com/watch?v=njx09wXb9o0&list=PLnhdsL4kFmVYMNq6F8k8UiFkc6fwIdk3o&index=5](https://www.youtube.com/watch?v=njx09wXb9o0&list=PLnhdsL4kFmVYMNq6F8k8UiFkc6fwIdk3o&index=5)
###
Tools
* Free convert video for mac opensource
* [https://github.com/HandBrake/HandBrake](https://github.com/HandBrake/HandBrake)
* [https://handbrake.fr/rotation.php?file=HandBrake-1.3.3.dmg](https://handbrake.fr/rotation.php?file=HandBrake-1.3.3.dmg)
* [global-gitignore.md](https://gist.github.com/subfuzion/db7f57fff2fb6998a16c)
* [https://nextbillion.ai/](https://nextbillion.ai/) Mapping platform built for enterprises
* [https://github.com/ondras/my-mind](https://github.com/ondras/my-mind) MindMap
* [Create and share beautiful images of your source code.](https://carbon.now.sh/)
* [Web IDE](https://replit.com/templates)
* [https://github.com/jely2002/youtube-dl-gui/releases/tag/v2.2.2](https://github.com/jely2002/youtube-dl-gui/releases/tag/v2.2.2)
###
Patents
[https://patents.google.com/?inventor=pirahansiah&oq=pirahansiah](https://patents.google.com/?inventor=pirahansiah&oq=pirahansiah)
1. System and method for providing advertisement contents based on facial analysis (WO2020141969A2)
2. A method for augmenting a plurality of face images (WO2021060971A1)
3. A method for detecting a moving vehicle (WO2021107761A1)
1. System and method for providing advertisement contents based on facial analysis (WO2020141969A2)
The present invention relates to a system (100) for providing advertisement
contents based on facial analysis comprising an image acquisition device (10)
to acquire an image of a user, a face detection module (20) to detect face of
the user in the image, an analysis module (40) to analyse the facial features
statistically using classification models retrieved from a classification
module (30), a database (60) to store matching rules, weighted advertisements
and a plurality of advertisement contents; and a display device (80) to
display the advertisement contents. The system (100) further comprises a
computation module (50) to compute weighted image of the user and a matching
module (70) to match the weighted image of the user with the weighted
advertisement to select an advertisement content based on facial analysis of
the user. A method of providing the advertisement contents based on facial
analysis is also provided thereof.
[https://patentimages.storage.googleapis.com/ff/3f/a5/e7b42ef58d8a03/WO2020141969A2.pdf](https://patentimages.storage.googleapis.com/ff/3f/a5/e7b42ef58d8a03/WO2020141969A2.pdf)
2. A method for augmenting a plurality of face images (WO2021060971A1)
The present invention relates to a method for increasing data for face
analysis in video surveillance. The method comprises the steps of acquiring at
least one face image from an image acquisition module (102), acquiring a
plurality of face images available on the internet using a data input module
(104), increasing face images by at least one data augmentation module (106
and 107), generating a plurality of face images based on a trained Generative
Adversarial Network, GAN technique by using a GAN module, selecting proper
images based on quality of the face images using a fuzzy logic module (111),
saving the selected images into a fifth database, and training the deep
learning module (113).
[https://patentimages.storage.googleapis.com/b8/d9/7f/ea8a5b789e1dad/WO2021060971A1.pdf](https://patentimages.storage.googleapis.com/b8/d9/7f/ea8a5b789e1dad/WO2021060971A1.pdf)
3. A method for detecting a moving vehicle (WO2021107761A1)
The present invention relates to a method for detecting a moving vehicle. The
method comprises the steps of grabbing an initial image from a video stream by
a vehicle detection module (1100), wherein the vehicle detection module (1100)
is a part of a system (1000) to identify moving vehicle, enhancing the
illumination of the initial image by the vehicle detection module (1100),
enhancing the edges within the initial image by the vehicle detection module
(1100), and finding vehicle based on homogenous properties of the body of the
vehicle by the vehicle detection module (1100). The step of finding vehicle
based on homogenous property of the body of the vehicle by the vehicle
detection module (1100) further comprising the sub-steps of closing open
edges, inverting the binary image, segmenting an inverted binary image,
filtering the noise based on geometric feature, and filtering the noise based
on relation.
[https://patentimages.storage.googleapis.com/16/41/83/2576e20c4a0af5/WO2021107761A1.pdf](https://patentimages.storage.googleapis.com/16/41/83/2576e20c4a0af5/WO2021107761A1.pdf)
###
Books
1. [book chapter titled “Camera Calibration and Video Stabilization Framework for Robot Localization” in the Book entitled “Control Engineering in Robotics and Industrial Automation" which will be published (24/07/2021) in Springer. ](https://www.waterstones.com/book/control-engineering-in-robotics-and-industrial-automation/muralindran-mariappan/mohd-rizal-arshad/9783030745394)
2. [book chapter titled “Augmented Optical Flow Methods for Video Stabilization", In Computational Intelligence: from theory to application. (2017) (p18). ](http://www.ukm.my/penerbit/penerbitan-2017/)
###
Journal Papers
* Using An Ant Colony Optimization Algorithm For Image Edge Detection As A Threshold Segmentation For OCR System Journal of Theoretical & Applied Information Technology, 95(21)
* * [http://www.jatit.org/volumes/Vol95No21/1Vol95No21.pdf](http://www.jatit.org/volumes/Vol95No21/1Vol95No21.pdf)
* GSFT-PSNR: Global Single Fuzzy Threshold Based on PSNR for OCR Systems, International Journal of Computer Science and Network Solutions 4(6)
* * [https://www.ijcsns.com/June.2016-Volume.4-No.6/Article01.pdf](https://www.ijcsns.com/June.2016-Volume.4-No.6/Article01.pdf)
* Adaptive Image Thresholding based On the Peak Signal-To-Noise Ratio, Research Journal of Applied Sciences, Engineering and Technology 8(9).
* * [http://www.academia.edu/download/44161592/Adaptive_Image_Thresholding_Based_on_the20160328-31366-1wyb1jc.pdf](http://www.academia.edu/download/44161592/Adaptive_Image_Thresholding_Based_on_the20160328-31366-1wyb1jc.pdf)
* Simultaneous Localization and Mapping Trends and Humanoid Robot Linkages, Asia-Pacific Journal of Information Technology and Multimedia (APJITM)
* * [http://journalarticle.ukm.my/6644/1/4429-10302-1-SM.pdf](http://journalarticle.ukm.my/6644/1/4429-10302-1-SM.pdf)
* Peak Signal-To-Noise Ratio Based On Threshold Method for Image Segmentation, Journal of Theoretical & Applied Information Technology, 57(2)
* * [http://www.jatit.org/volumes/Vol57No2/4Vol57No2.pdf](http://www.jatit.org/volumes/Vol57No2/4Vol57No2.pdf)
* Character recognition based on global feature extraction; Journal of Theoretical and Applied Information Technology 52
* * [http://www.jatit.org/volumes/Vol52No2/6Vol52No2.pdf](http://www.jatit.org/volumes/Vol52No2/6Vol52No2.pdf)
###
Conference Papers
* Pattern Image Significance for Camera Calibration, IEEE Student Conference on Research and Development (SCOReD 2017)
* [http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8305440&isnumber=8305342](http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8305440&isnumber=8305342)
* Augmented optical flow methods for video stabilization. 4th Artificial Intelligence Technology Postgraduate Seminar (CAITPS 2015)
* [http://www.academia.edu/download/45596617/farshid.pdf](http://www.academia.edu/download/45596617/farshid.pdf)
* Auto-Calibration for Multi-Modal Robot Vision based on Image Quality Assessment, The 10th Asian Control Conference (ASCC 2015)
* [https://doi.org/10.1109/ASCC.2015.7360336](https://doi.org/10.1109/ASCC.2015.7360336)
* 2D versus 3D Map for Environment Movement Objects, Second National Doctoral Seminar in Artificial Intelligence Technology (CAIT 2012)
* [http://www.ftsm.ukm.my/cait2012/images/Program%20Schedule%20CAIT2012.pdf](http://www.ftsm.ukm.my/cait2012/images/Program%20Schedule%20CAIT2012.pdf)
* Comparison Single Thresholding Method for Image Segmentation on Handwritten Images, International Conference on Pattern Analysis and Intelligent Robotics
* [https://doi.org/10.1109/ICPAIR.2011.5976918](https://doi.org/10.1109/ICPAIR.2011.5976918)
* License Plate Recognition with Multi-Threshold Based on Entropy, 3rd International Conference on Electrical Engineering and Informatics (ICEEI 2011)
* [https://doi.org/10.1109/ICEEI.2011.6021627](https://doi.org/10.1109/ICEEI.2011.6021627)
* Character recognition based on global feature extraction, 3rd International Conference On Electrical Engineering and Informatics (ICEEI 2011)
* [https://pdfs.semanticscholar.org/2d22/66bfb2f5ba5cb40b5946b82c620dc713d793.pdf](https://pdfs.semanticscholar.org/2d22/66bfb2f5ba5cb40b5946b82c620dc713d793.pdf)
* [https://doi.org/10.1109/ICEEI.2011.6021649](https://doi.org/10.1109/ICEEI.2011.6021649)
* Tafresh Grid: Grid computing in Tafresh university," 2011 IEEE 3rd International Conference on Communication Software and Networks, Xi'an, 2011, pp. 83-85.
* [http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6014009&isnumber=6013532](http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6014009&isnumber=6013532)
* Adaptive image segmentation based on Peak Signal to Noise Ratio for a license plate Recognition system, International Conference on Computer Applications and Industrial Electronics (ICCAIE 2010)
* [https://doi.org/10.1109/ICCAIE.2010.5735125](https://doi.org/10.1109/ICCAIE.2010.5735125)
* [http://www.academia.edu/download/44161592/Adaptive_Image_Thresholding_Based_on_the20160328-31366-1wyb1jc.pdf](http://www.academia.edu/download/44161592/Adaptive_Image_Thresholding_Based_on_the20160328-31366-1wyb1jc.pdf)
* Multi-threshold approach for license plate recognition system, International Conference on Signal and Image Processing WASET ICSIP 2010:1046-1050
* [http://waset.org/publications/3636](http://waset.org/publications/3636)
* An evaluation of classification techniques using enhanced Geometrical Topological Feature Analysis, 2nd Malaysian Joint Conference on Artificial Intelligence (MJCAI 2010)
* [https://scholar.google.com/scholar?oi=bibs&cluster=3038184255311332521&btnI=1&hl=en](https://scholar.google.com/scholar?oi=bibs&cluster=3038184255311332521&btnI=1&hl=en)
###
Articles on LinkedIn
* [ADRL: Advanced Deep Reinforcement Learning {Patents and papers; Main point summary on recently published research on DRL} (draft version Feb 2019) ]([https://www.linkedin.com/pulse/patents-papers-adrl-advanced-deep-reinforcement-feb-pirahansiah-phd/](https://www.linkedin.com/pulse/patents-papers-adrl-advanced-deep-reinforcement-feb-pirahansiah-phd/))
* [The most important research papers for deep learning (updated December, 2017)]([https://www.linkedin.com/pulse/most-important-research-papers-deep-learning-updated-2017-farshid/](https://www.linkedin.com/pulse/most-important-research-papers-deep-learning-updated-2017-farshid/) )
* [List of useful links (Videos, Slides, Articles) for Deep Learning ]([https://www.linkedin.com/pulse/list-useful-links-videos-slides-articles-deep-farshid-pirahansiah/](https://www.linkedin.com/pulse/list-useful-links-videos-slides-articles-deep-farshid-pirahansiah/))
* [Autonomous driving vehicles (Computer Vision, Deep Learning)]([https://www.linkedin.com/pulse/autonomous-driving-vehicles-computer-vision-deep-farshid-pirahansiah-1/](https://www.linkedin.com/pulse/autonomous-driving-vehicles-computer-vision-deep-farshid-pirahansiah-1/)
* [Thresholding]([https://www.linkedin.com/pulse/thresholding-farshid-pirahansiah/](https://www.linkedin.com/pulse/thresholding-farshid-pirahansiah/)
###
Slides slideshare
* Deep Learning for Computer Vision in Ubuntu 19; Part 1 installation [Link]([https://www.slideshare.net/pirahansiah/deep-learning-for-computer-vision-in-ubuntu-19-part-1-installation](https://www.slideshare.net/pirahansiah/deep-learning-for-computer-vision-in-ubuntu-19-part-1-installation)
* Using Deep Learning for Computer Vision Applications [Link]([https://www.slideshare.net/pirahansiah/using-deep-learning-for-computer-vision-applications](https://www.slideshare.net/pirahansiah/using-deep-learning-for-computer-vision-applications) )
* tensorflow1.3 digits6.0 Caffe [Link]([https://www.slideshare.net/pirahansiah/farshid-tensorflow13-digits60caffe](https://www.slideshare.net/pirahansiah/farshid-tensorflow13-digits60caffe) )
* Install TensorFlow 1.2 on macOS Sierra on MacBook (June 2017) [Link]([https://www.slideshare.net/pirahansiah/install-tensorflow-12-on-macos-sierra-on-macbook-june-2017](https://www.slideshare.net/pirahansiah/install-tensorflow-12-on-macos-sierra-on-macbook-june-2017) )
* Best Deep Learning Post from LinkedIn Group [Link]([https://www.slideshare.net/pirahansiah/best-deep-learning-post-from-linkedin-group](https://www.slideshare.net/pirahansiah/best-deep-learning-post-from-linkedin-group) )
* Install, Compile, Setup, Setting OpenCV 3.2, Visual C++ 2015, Win 64bit [Link]([https://www.slideshare.net/pirahansiah/install-compile-setup-setting-opencv-32-visual-c-2015-win-64bit](https://www.slideshare.net/pirahansiah/install-compile-setup-setting-opencv-32-visual-c-2015-win-64bit) )
* Layers in Deep Learning&Caffe layers (model architecture ) [Link]([https://www.slideshare.net/pirahansiah/layers-in-deep-learningcaffe-layers-model-architecture](https://www.slideshare.net/pirahansiah/layers-in-deep-learningcaffe-layers-model-architecture) )
* How to install Digits 5.1 on Ubuntu 14 [Link]([https://www.slideshare.net/pirahansiah/how-to-install-digits-51-on-ubuntu-14](https://www.slideshare.net/pirahansiah/how-to-install-digits-51-on-ubuntu-14) )
* Deep Learning for Video Analysis – part 1 (DeepStream SDK) [NVIDIA TensorRT || NVIDIA GPU Inference Engine (GIE)] [Link]([https://www.slideshare.net/pirahansiah/deep-learning-for-video-analysis-part-1-deepstream-sdk-nvidia-tensorrt-nvidia-gpu-inference-engine-gie](https://www.slideshare.net/pirahansiah/deep-learning-for-video-analysis-part-1-deepstream-sdk-nvidia-tensorrt-nvidia-gpu-inference-engine-gie) )
* Computer Vision, Deep Learning, OpenCV [Link]([https://www.slideshare.net/pirahansiah/computer-vision-deep-learning-opencv](https://www.slideshare.net/pirahansiah/computer-vision-deep-learning-opencv) )
###
Online Courses
* [Writing with Impact ](https://www.linkedin.com/learning/writing-with-impact)
* [Balancing Work and Life ](https://www.linkedin.com/learning/balancing-work-and-life)
* [Finance Foundations: Income Taxes ](https://www.linkedin.com/learning/finance-foundations-income-taxes-2)
* [Starting a Business with Family and Friends ](https://www.linkedin.com/learning/starting-a-business-with-family-and-friends)
* [Finance Essentials for Small Business ](https://www.linkedin.com/learning/finance-essentials-for-small-business)
* [Setting Up Your Small Business as a Legal Entity ](https://www.linkedin.com/learning/setting-up-your-small-business-as-a-legal-entity)
* [Creating a Business Plan ](https://www.linkedin.com/learning/creating-a-business-plan-2)
* [Understanding Business ](https://www.linkedin.com/learning/understanding-business)
* [Entrepreneurship: Finding and Testing Your Business Idea ](https://www.linkedin.com/learning/entrepreneurship-finding-and-testing-your-business-idea)
* [Guy Kawasaki on Entrepreneurship ](https://www.linkedin.com/learning/guy-kawasaki-on-entrepreneurship)
* [Financial Modeling Foundations ](https://www.linkedin.com/learning/financial-modeling-foundations)
* [Financial Accounting Foundations ](https://www.linkedin.com/learning/financial-accounting-foundations)
* [Strategic Planning Foundations ](https://www.linkedin.com/learning/strategic-planning-foundations)
* [5 Personal Finance Tips ](https://www.linkedin.com/learning/5-personal-finance-tips)
* [Investment Evaluation ](https://www.linkedin.com/learning/investment-evaluation)
* [Managing Your Personal Investments ](https://www.linkedin.com/learning/managing-your-personal-investments)
* [Financial Wellness: Managing Personal Cash Flow ](https://www.linkedin.com/learning/financial-wellness-managing-personal-cash-flow)
* [Financial Wellness for Couples and Families ](https://www.linkedin.com/learning/financial-wellness-for-couples-and-families)
* [Managing Your Personal Finances ](https://www.linkedin.com/learning/managing-your-personal-finances)
* [Finance Foundations ](https://www.linkedin.com/learning/finance-foundations-2)
* [Entrepreneurship Foundations ](https://www.linkedin.com/learning/entrepreneurship-foundations-2)
* [Introduction to Deep Learning with OpenCV ](https://www.linkedin.com/learning/introduction-to-deep-learning-with-opencv)
* [OpenCV for Python Developers ](https://www.linkedin.com/learning/opencv-for-python-developers)
* [Brad Feld on Validating Your Startup Idea ](https://www.linkedin.com/learning/brad-feld-on-validating-your-startup-idea)
* [Brad Feld on Raising Capital ](https://www.linkedin.com/learning/brad-feld-on-raising-capital)
* [Take a More Creative Approach to Problem-Solving ](https://www.linkedin.com/learning/take-a-more-creative-approach-to-problem-solving)
* [Professional Networking ](https://www.linkedin.com/learning/professional-networking)
* [Building Relationships While Working from Home ](https://www.linkedin.com/learning/building-relationships-while-working-from-home)
* [Entrepreneurship: Raising Startup Capital ](https://www.linkedin.com/learning/entrepreneurship-raising-startup-capital)
* [Business Analysis Foundations: Business Process Modeling ](https://www.linkedin.com/learning/business-analysis-foundations-business-process-modeling)
* [Communicating with Confidence ](https://www.linkedin.com/learning/communicating-with-confidence)
* [Machine Learning for iOS Developers ](https://www.linkedin.com/learning/machine-learning-for-ios-developers)
###
Learning path
* [Stay Ahead in Personal Finance ](https://www.linkedin.com/learning/paths/stay-ahead-in-personal-finance)
* [Become a Small Business Owner ](https://www.linkedin.com/learning/paths/become-a-small-business-owner)
#
Completed
###
Reference
[https://drive.google.com/file/d/1xd5TZlEZnUUieXzw3Lxn3Sv7MwIajU_W/view?usp=sharing](https://drive.google.com/file/d/1xd5TZlEZnUUieXzw3Lxn3Sv7MwIajU_W/view?usp=sharing)
###
Link of best Groups
* [LinkedIn: Computer Vision, Deep Learning, Deep Reinforcement Learning, GANs, OpenCV, Caffe, TensorFlow,PyTorch](https://www.linkedin.com/groups/10320678/)
* [Source code](https://gitlab.com/pirahansiah)
* [Facebook : Deep Learning, Computer Vision, Robotics ](https://web.facebook.com/groups/185926728115336/)
* [The link to one-note notebook ](https://1drv.ms/u/s!AhG15hrdT9JOgR5GZgPjve65F-e5)
* [GitHub](https://github.com/pirahansiah)
###
Books
* [The Art of Startup Fundraising](https://www.amazon.de/-/en/Alejandro-Cremades-ebook/dp/B01DQ3GY3Y)
* [Mathematics for Machine Learning](https://mml-book.github.io/)
* Principles of Economics (6th edition)
* The E-Myth Revisited Why Most Small Businesses Don't Work and What to Do About It
* Clean Code: A Handbook of Agile Software Craftsmanship (Robert C. Martin)
* Reinventing Your Life: The Breakthough Program to End Negative Behavior
* Ways Of Thinking: The Limits Of Rational Thought And Artificial Intelligence
* [https://images.kw.com/docs/2/1/2/212345/1285134779158_htwfaip.pdf](https://images.kw.com/docs/2/1/2/212345/1285134779158_htwfaip.pdf)
* * [Computer Vision: Algorithms and Applications](http://szeliski.org/Book/)
* [Multiple View Geometry in Computer Vision Second Edition](https://www.robots.ox.ac.uk/~vgg/hzbook/)
* [Complete to download the latest draft of Machine Learning Yearning](https://www.deeplearning.ai/machine-learning-yearning/)
* Multiple view geometry in computer vision
* Learning OpenCV Book by Adrian Kaehler and Gary Bradski
* Digital Image Processing, Global Edition by Rafael C. Gonzalez
* Introduction to Algorithms, 3rd Edition (The MIT Press)
* The Mythical Man-Month: Essays on Software Engineering
* [OpenCV-4-with-Python-Blueprints-Second-Edition](https://github.com/PacktPublishing/OpenCV-4-with-Python-Blueprints-Second-Edition)
###
Videos
* [https://www.youtube.com/computervisiondeeplearning](https://www.youtube.com/computervisiondeeplearning)
* [Two Minute Papers](https://www.youtube.com/c/K%C3%A1rolyZsolnai/videos)
* [Conference on Pattern Recognition](https://www.gcpr-vmv-vcbm-2020.uni-tuebingen.de/)
* [https://researchseminars.org/?fbclid=IwAR0Ly9WLONBMBteYI7IhlRaMYR_rQR6YrpdxLG_sUxPxGYKQhB0SOTmcjgY](https://researchseminars.org/?fbclid=IwAR0Ly9WLONBMBteYI7IhlRaMYR_rQR6YrpdxLG_sUxPxGYKQhB0SOTmcjgY)
###
Papers
* CALTag: High Precision Fiducial Markers for Camera
* Diatom Autofocusing in Brightfield Microscopy: a Comparative Study
* Analysis of focus measure operators in shape-from-focus
* Optical flow modeling and computation: A survey
* Toward general type 2 fuzzy logic systems based on zSlices
###
Site
* [Research Tools By: Nader Ale Ebrahim](https://www.mindmeister.com/39583892/research-tools-by-nader-ale-ebrahim?t=HMmnzlA4zN) ([MindMap](https://www.mindmeister.com/39583892/research-tools-by-nader-ale-ebrahim?fullscreen=1#))
Reference-
ComputerVisionDeepLearning.pdf
* [https://virgool.io/@r_alimorady/easy-install-cuda-document-hhk6nuylvl1w](https://virgool.io/@r_alimorady/easy-install-cuda-document-hhk6nuylvl1w)
* [https://techcommunity.microsoft.com/t5/azure-ai/introducing-multivariate-anomaly-detection/ba-p/2260679](https://techcommunity.microsoft.com/t5/azure-ai/introducing-multivariate-anomaly-detection/ba-p/2260679)
* [https://www.freertos.org/index.html](https://www.freertos.org/index.html)
* [https://en.wikipedia.org/wiki/Knowledge_distillation](https://en.wikipedia.org/wiki/Knowledge_distillation)
* [https://80000hours.org/2015/10/startup-salaries-and-equity-compensation/](https://80000hours.org/2015/10/startup-salaries-and-equity-compensation/)
* [https://www.thecvf.com/?page_id=413](https://www.thecvf.com/?page_id=413)
* [https://levelup.gitconnected.com/s-o-l-i-d-principles-explained-in-python-with-examples-83b2b43bdcde?gi=a1fee170c917](https://levelup.gitconnected.com/s-o-l-i-d-principles-explained-in-python-with-examples-83b2b43bdcde?gi=a1fee170c917)
* [https://arxiv.org/pdf/2104.13921.pdf](https://arxiv.org/pdf/2104.13921.pdf)
* [https://blog.paperspace.com/object-detection-directed-mask-r-cnn-keras/](https://blog.paperspace.com/object-detection-directed-mask-r-cnn-keras/)
* [https://pub.towardsai.net/will-transformers-replace-cnns-in-computer-vision-55657a196833](https://pub.towardsai.net/will-transformers-replace-cnns-in-computer-vision-55657a196833)
* [https://medium.com/@daviddelaiglesiacastro/3d-point-cloud-generation-from-3d-triangular-mesh-bbb602ecf238](https://medium.com/@daviddelaiglesiacastro/3d-point-cloud-generation-from-3d-triangular-mesh-bbb602ecf238)
*
[https://koinly.io/](https://koinly.io/)
site map: octopus.do
[https://www.startupgermany.nrw/startup-
contest/](https://www.startupgermany.nrw/startup-contest/)
[https://www.kickstarter.com/projects/opencv/opencv-ai-kit-oak-depth-
camera-4k-cv-edge-object-
detection/description](https://www.kickstarter.com/projects/opencv/opencv-ai-
kit-oak-depth-camera-4k-cv-edge-object-detection/description)
[HOW I GAINED 68,000 SUBSCRIBERS IN A YEAR! | My Strategy to Grow on YouTube
in 2021! - YouTube
](https://www.youtube.com/watch?v=bwd1dQr33K8&list=PLxC08P2Oexy2EJKezV02N9cp3-qOEh79Z)
[https://www.youtube.com/watch?v=bwd1dQr33K8&list=PLxC08P2Oexy2EJKezV02N9cp3-qOEh79Z](https://www.youtube.com/watch?v=bwd1dQr33K8&list=PLxC08P2Oexy2EJKezV02N9cp3-qOEh79Z)
[https://www.youtube.com/watch?v=cFdApmqlllg](https://www.youtube.com/watch?v=cFdApmqlllg)
[محمد رضا شجریان، آلبوم کامل در خیال -
YouTube](https://www.youtube.com/watch?v=cFdApmqlllg)
[دوره جامع گوگل آنالیتیکس(UA) |
آنالیتیپس](https://analytips.io/product/google-analyticsua/)
[رادیوگیک - شماره ۱۲۱ - ما این لارادیوگیک - شماره ۱۲۱ - ما این لا -
YouTube](https://www.youtube.com/watch?v=dzBLhio-DIc)
[Social Selling Index | Sales
Navigator](https://www.linkedin.com/sales/ssi?src=or-
search&veh=www.google.com)
[https://rschu.me/list-a-directory-with-tree-command-on-mac-
os-x-3b2d4c4a4827](https://rschu.me/list-a-directory-with-tree-command-on-mac-
os-x-3b2d4c4a4827)
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# Links
pirahansiah, Personal, Roadmap, Books, Online Courses
[](https://drive.google.com/open?id=1ELXvmqcSciCK8-TUVsyVRnYTuxnKta-_xze-
oXQexwY "Open Spreadsheet, Links in new window")
Links
Links from my research and interest
AI in RISC-V
Mixed reality
Old Links
Reference
Link Groups
Top website
Python
Computer Vision
Documents
Business
Tools
Patents
Books
Journal Papers
Conference Papers
Articles on LinkedIn
Slides slideshare
Online Courses
Learning path
Completed
Reference
Link of best Groups
Books
Videos
Papers
Site
Efficient Video Dataset Loading and Augmentation in PyTorch for deep learning
training loops.
GitHub[ https://lnkd.in/gpR8idsp](https://lnkd.in/gpR8idsp)
[https://remmina.org/how-to-install-remmina/](https://remmina.org/how-to-
install-remmina/)
[https://readme.so/](https://readme.so/)
#
Links from my research and interest
[Build Better Generative Adversarial Networks (GANs) - Andrew Ng -
2021](https://www.youtube.com/playlist?list=PLuv1FSpHurUfl44GWqaCzEhGP-aP_-
VnF)
[https://www.oreilly.com/library/view/flow-
architectures/9781492075882/](https://www.oreilly.com/library/view/flow-
architectures/9781492075882/)
##
AI in RISC-V
* [RISC-V hardware & software ecosystem highlights in 2020](https://www.cnx-software.com/2020/12/10/risc-v-hardware-software-ecosystem-highlights-in-2020)
##
Mixed reality
* [https://github.com/MIT-SPARK/Kimera](https://github.com/MIT-SPARK/Kimera)
* Kimera is a C++ library for real-time metric-semantic simultaneous localization and mapping, which uses camera images and inertial data to build a semantically annotated 3D mesh of the environment. Kimera is modular, ROS-enabled, and runs on a CPU.
#
Old Links
###
Reference
[https://drive.google.com/file/d/1xd5TZlEZnUUieXzw3Lxn3Sv7MwIajU_W/view?usp=sharing](https://drive.google.com/file/d/1xd5TZlEZnUUieXzw3Lxn3Sv7MwIajU_W/view?usp=sharing)
###
Link Groups
* [LinkedIn: Computer Vision, Deep Learning, Deep Reinforcement Learning, GANs, OpenCV, Caffe, TensorFlow,PyTorch](https://www.linkedin.com/groups/10320678/)
* [Source code](https://gitlab.com/pirahansiah)
* [Facebook : Deep Learning, Computer Vision, Robotics ](https://web.facebook.com/groups/185926728115336/)
* [The link to one-note notebook ](https://1drv.ms/u/s!AhG15hrdT9JOgR5GZgPjve65F-e5)
* [GitHub](https://github.com/pirahansiah)
###
Top website
* [https://paperswithcode.com/](https://paperswithcode.com/)
* [https://www.learnthepart.com/](https://www.learnthepart.com/)
* [https://hackaday.com/](https://hackaday.com/)
* [https://medium.com/@pirahansiah/timesaver-626019137fa9?sk=cde3334919d6c16ba0964fe021a24762](https://medium.com/@pirahansiah/timesaver-626019137fa9?sk=cde3334919d6c16ba0964fe021a24762)
* hbrew install youtube-dl
* [https://www.masterclass.com/](https://www.masterclass.com/)
* [Deep Learning for coders (2020)](https://www.youtube.com/user/howardjeremyp)
* [Deep Learning for Video](https://mcv-m6-video.github.io/deepvideo-2019/) (Master in Computer Vision Barcelona)
* [Augmented Reality using ArUco Markers in OpenCV (C++ / Python)](https://www.learnopencv.com/augmented-reality-using-aruco-markers-in-opencv-c-python/)
* [https://explainshell.com/](https://explainshell.com/)
* [https://stackoverflow.blog/2020/02/12/when-laziness-is-efficient-make-the-most-of-your-command-line/](https://stackoverflow.blog/2020/02/12/when-laziness-is-efficient-make-the-most-of-your-command-line/?utm_source=Iterable&utm_medium=email&utm_campaign=the_overflow_newsletter&utm_content=02-19-20)
* [https://link.medium.com/XA49Ke0Jt4](https://link.medium.com/XA49Ke0Jt4)
* [https://link.medium.com/Np0YEy1Jt4](https://link.medium.com/Np0YEy1Jt4)
###
Python
* [How to Write Beautiful Python Code With PEP 8](https://realpython.com/python-pep8/)
* [PEP 622 -- Structural Pattern Matching](https://www.python.org/dev/peps/pep-0622/)
* [Monitor Your Dependencies! Stop Being A Blind Data-Scientist.](https://towardsdatascience.com/monitor-your-dependencies-stop-being-a-blind-data-scientist-a3150bd64594)
###
Computer Vision
* [Hybrid CV/DL pipelines with OpenCV 4.4 G-API](https://opencv.org/hybrid-cv-dl-pipelines-with-opencv-4-4-g-api/)
* [PaddleDetection is an end-to-end object detection development kit based on PaddlePaddle, which aims to help developers in the whole development of training models, optimizing performance and inference speed, and deploying models. ](https://github.com/PaddlePaddle/PaddleDetection/blob/release/0.4/README_en.md)
* [https://github.com/google/mediapipe](https://github.com/google/mediapipe)
###
Documents
* [https://book.keybase.io/docs](https://book.keybase.io/docs)
* [kind is a tool for running local Kubernetes clusters using Docker container "nodes".](https://github.com/kubernetes-sigs/kind)
* [FINN is an experimental framework from Xilinx Research Labs to explore deep neural network inference on FPGAs. ](https://xilinx.github.io/finn/)
* [Gitter is a chat and networking platform that helps to manage, grow and connect communities through messaging, content and discovery.](https://gitter.im/)
* [Fair and useful benchmarks for measuring training and inference performance of ML hardware, software, and services.](https://mlperf.org/)
* [https://kepler.gl/demo](https://kepler.gl/demo)
* [Open source, highly available Prometheus setup with long term storage capabilities.](https://thanos.io/)
* [Deep Learning Design Patterns - Jr Data Scientist - Part 3 - Alternative Connectivity Patterns](https://www.youtube.com/watch?v=JI-MButCqUE)
###
Business
* [5 Ways to Make More Money as a Coach or Consultant](https://www.entrepreneur.com/article/283006)
* [https://www.youtube.com/watch?v=njx09wXb9o0&list=PLnhdsL4kFmVYMNq6F8k8UiFkc6fwIdk3o&index=5](https://www.youtube.com/watch?v=njx09wXb9o0&list=PLnhdsL4kFmVYMNq6F8k8UiFkc6fwIdk3o&index=5)
###
Tools
* Free convert video for mac opensource
* [https://github.com/HandBrake/HandBrake](https://github.com/HandBrake/HandBrake)
* [https://handbrake.fr/rotation.php?file=HandBrake-1.3.3.dmg](https://handbrake.fr/rotation.php?file=HandBrake-1.3.3.dmg)
* [global-gitignore.md](https://gist.github.com/subfuzion/db7f57fff2fb6998a16c)
* [https://nextbillion.ai/](https://nextbillion.ai/) Mapping platform built for enterprises
* [https://github.com/ondras/my-mind](https://github.com/ondras/my-mind) MindMap
* [Create and share beautiful images of your source code.](https://carbon.now.sh/)
* [Web IDE](https://replit.com/templates)
* [https://github.com/jely2002/youtube-dl-gui/releases/tag/v2.2.2](https://github.com/jely2002/youtube-dl-gui/releases/tag/v2.2.2)
###
Patents
[https://patents.google.com/?inventor=pirahansiah&oq=pirahansiah](https://patents.google.com/?inventor=pirahansiah&oq=pirahansiah)
1. System and method for providing advertisement contents based on facial analysis (WO2020141969A2)
2. A method for augmenting a plurality of face images (WO2021060971A1)
3. A method for detecting a moving vehicle (WO2021107761A1)
1. System and method for providing advertisement contents based on facial analysis (WO2020141969A2)
The present invention relates to a system (100) for providing advertisement
contents based on facial analysis comprising an image acquisition device (10)
to acquire an image of a user, a face detection module (20) to detect face of
the user in the image, an analysis module (40) to analyse the facial features
statistically using classification models retrieved from a classification
module (30), a database (60) to store matching rules, weighted advertisements
and a plurality of advertisement contents; and a display device (80) to
display the advertisement contents. The system (100) further comprises a
computation module (50) to compute weighted image of the user and a matching
module (70) to match the weighted image of the user with the weighted
advertisement to select an advertisement content based on facial analysis of
the user. A method of providing the advertisement contents based on facial
analysis is also provided thereof.
[https://patentimages.storage.googleapis.com/ff/3f/a5/e7b42ef58d8a03/WO2020141969A2.pdf](https://patentimages.storage.googleapis.com/ff/3f/a5/e7b42ef58d8a03/WO2020141969A2.pdf)
2. A method for augmenting a plurality of face images (WO2021060971A1)
The present invention relates to a method for increasing data for face
analysis in video surveillance. The method comprises the steps of acquiring at
least one face image from an image acquisition module (102), acquiring a
plurality of face images available on the internet using a data input module
(104), increasing face images by at least one data augmentation module (106
and 107), generating a plurality of face images based on a trained Generative
Adversarial Network, GAN technique by using a GAN module, selecting proper
images based on quality of the face images using a fuzzy logic module (111),
saving the selected images into a fifth database, and training the deep
learning module (113).
[https://patentimages.storage.googleapis.com/b8/d9/7f/ea8a5b789e1dad/WO2021060971A1.pdf](https://patentimages.storage.googleapis.com/b8/d9/7f/ea8a5b789e1dad/WO2021060971A1.pdf)
3. A method for detecting a moving vehicle (WO2021107761A1)
The present invention relates to a method for detecting a moving vehicle. The
method comprises the steps of grabbing an initial image from a video stream by
a vehicle detection module (1100), wherein the vehicle detection module (1100)
is a part of a system (1000) to identify moving vehicle, enhancing the
illumination of the initial image by the vehicle detection module (1100),
enhancing the edges within the initial image by the vehicle detection module
(1100), and finding vehicle based on homogenous properties of the body of the
vehicle by the vehicle detection module (1100). The step of finding vehicle
based on homogenous property of the body of the vehicle by the vehicle
detection module (1100) further comprising the sub-steps of closing open
edges, inverting the binary image, segmenting an inverted binary image,
filtering the noise based on geometric feature, and filtering the noise based
on relation.
[https://patentimages.storage.googleapis.com/16/41/83/2576e20c4a0af5/WO2021107761A1.pdf](https://patentimages.storage.googleapis.com/16/41/83/2576e20c4a0af5/WO2021107761A1.pdf)
###
Books
1. [book chapter titled “Camera Calibration and Video Stabilization Framework for Robot Localization” in the Book entitled “Control Engineering in Robotics and Industrial Automation" which will be published (24/07/2021) in Springer. ](https://www.waterstones.com/book/control-engineering-in-robotics-and-industrial-automation/muralindran-mariappan/mohd-rizal-arshad/9783030745394)
2. [book chapter titled “Augmented Optical Flow Methods for Video Stabilization", In Computational Intelligence: from theory to application. (2017) (p18). ](http://www.ukm.my/penerbit/penerbitan-2017/)
###
Journal Papers
* Using An Ant Colony Optimization Algorithm For Image Edge Detection As A Threshold Segmentation For OCR System Journal of Theoretical & Applied Information Technology, 95(21)
* * [http://www.jatit.org/volumes/Vol95No21/1Vol95No21.pdf](http://www.jatit.org/volumes/Vol95No21/1Vol95No21.pdf)
* GSFT-PSNR: Global Single Fuzzy Threshold Based on PSNR for OCR Systems, International Journal of Computer Science and Network Solutions 4(6)
* * [https://www.ijcsns.com/June.2016-Volume.4-No.6/Article01.pdf](https://www.ijcsns.com/June.2016-Volume.4-No.6/Article01.pdf)
* Adaptive Image Thresholding based On the Peak Signal-To-Noise Ratio, Research Journal of Applied Sciences, Engineering and Technology 8(9).
* * [http://www.academia.edu/download/44161592/Adaptive_Image_Thresholding_Based_on_the20160328-31366-1wyb1jc.pdf](http://www.academia.edu/download/44161592/Adaptive_Image_Thresholding_Based_on_the20160328-31366-1wyb1jc.pdf)
* Simultaneous Localization and Mapping Trends and Humanoid Robot Linkages, Asia-Pacific Journal of Information Technology and Multimedia (APJITM)
* * [http://journalarticle.ukm.my/6644/1/4429-10302-1-SM.pdf](http://journalarticle.ukm.my/6644/1/4429-10302-1-SM.pdf)
* Peak Signal-To-Noise Ratio Based On Threshold Method for Image Segmentation, Journal of Theoretical & Applied Information Technology, 57(2)
* * [http://www.jatit.org/volumes/Vol57No2/4Vol57No2.pdf](http://www.jatit.org/volumes/Vol57No2/4Vol57No2.pdf)
* Character recognition based on global feature extraction; Journal of Theoretical and Applied Information Technology 52
* * [http://www.jatit.org/volumes/Vol52No2/6Vol52No2.pdf](http://www.jatit.org/volumes/Vol52No2/6Vol52No2.pdf)
###
Conference Papers
* Pattern Image Significance for Camera Calibration, IEEE Student Conference on Research and Development (SCOReD 2017)
* [http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8305440&isnumber=8305342](http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8305440&isnumber=8305342)
* Augmented optical flow methods for video stabilization. 4th Artificial Intelligence Technology Postgraduate Seminar (CAITPS 2015)
* [http://www.academia.edu/download/45596617/farshid.pdf](http://www.academia.edu/download/45596617/farshid.pdf)
* Auto-Calibration for Multi-Modal Robot Vision based on Image Quality Assessment, The 10th Asian Control Conference (ASCC 2015)
* [https://doi.org/10.1109/ASCC.2015.7360336](https://doi.org/10.1109/ASCC.2015.7360336)
* 2D versus 3D Map for Environment Movement Objects, Second National Doctoral Seminar in Artificial Intelligence Technology (CAIT 2012)
* [http://www.ftsm.ukm.my/cait2012/images/Program%20Schedule%20CAIT2012.pdf](http://www.ftsm.ukm.my/cait2012/images/Program%20Schedule%20CAIT2012.pdf)
* Comparison Single Thresholding Method for Image Segmentation on Handwritten Images, International Conference on Pattern Analysis and Intelligent Robotics
* [https://doi.org/10.1109/ICPAIR.2011.5976918](https://doi.org/10.1109/ICPAIR.2011.5976918)
* License Plate Recognition with Multi-Threshold Based on Entropy, 3rd International Conference on Electrical Engineering and Informatics (ICEEI 2011)
* [https://doi.org/10.1109/ICEEI.2011.6021627](https://doi.org/10.1109/ICEEI.2011.6021627)
* Character recognition based on global feature extraction, 3rd International Conference On Electrical Engineering and Informatics (ICEEI 2011)
* [https://pdfs.semanticscholar.org/2d22/66bfb2f5ba5cb40b5946b82c620dc713d793.pdf](https://pdfs.semanticscholar.org/2d22/66bfb2f5ba5cb40b5946b82c620dc713d793.pdf)
* [https://doi.org/10.1109/ICEEI.2011.6021649](https://doi.org/10.1109/ICEEI.2011.6021649)
* Tafresh Grid: Grid computing in Tafresh university," 2011 IEEE 3rd International Conference on Communication Software and Networks, Xi'an, 2011, pp. 83-85.
* [http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6014009&isnumber=6013532](http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6014009&isnumber=6013532)
* Adaptive image segmentation based on Peak Signal to Noise Ratio for a license plate Recognition system, International Conference on Computer Applications and Industrial Electronics (ICCAIE 2010)
* [https://doi.org/10.1109/ICCAIE.2010.5735125](https://doi.org/10.1109/ICCAIE.2010.5735125)
* [http://www.academia.edu/download/44161592/Adaptive_Image_Thresholding_Based_on_the20160328-31366-1wyb1jc.pdf](http://www.academia.edu/download/44161592/Adaptive_Image_Thresholding_Based_on_the20160328-31366-1wyb1jc.pdf)
* Multi-threshold approach for license plate recognition system, International Conference on Signal and Image Processing WASET ICSIP 2010:1046-1050
* [http://waset.org/publications/3636](http://waset.org/publications/3636)
* An evaluation of classification techniques using enhanced Geometrical Topological Feature Analysis, 2nd Malaysian Joint Conference on Artificial Intelligence (MJCAI 2010)
* [https://scholar.google.com/scholar?oi=bibs&cluster=3038184255311332521&btnI=1&hl=en](https://scholar.google.com/scholar?oi=bibs&cluster=3038184255311332521&btnI=1&hl=en)
###
Articles on LinkedIn
* [ADRL: Advanced Deep Reinforcement Learning {Patents and papers; Main point summary on recently published research on DRL} (draft version Feb 2019) ]([https://www.linkedin.com/pulse/patents-papers-adrl-advanced-deep-reinforcement-feb-pirahansiah-phd/](https://www.linkedin.com/pulse/patents-papers-adrl-advanced-deep-reinforcement-feb-pirahansiah-phd/))
* [The most important research papers for deep learning (updated December, 2017)]([https://www.linkedin.com/pulse/most-important-research-papers-deep-learning-updated-2017-farshid/](https://www.linkedin.com/pulse/most-important-research-papers-deep-learning-updated-2017-farshid/) )
* [List of useful links (Videos, Slides, Articles) for Deep Learning ]([https://www.linkedin.com/pulse/list-useful-links-videos-slides-articles-deep-farshid-pirahansiah/](https://www.linkedin.com/pulse/list-useful-links-videos-slides-articles-deep-farshid-pirahansiah/))
* [Autonomous driving vehicles (Computer Vision, Deep Learning)]([https://www.linkedin.com/pulse/autonomous-driving-vehicles-computer-vision-deep-farshid-pirahansiah-1/](https://www.linkedin.com/pulse/autonomous-driving-vehicles-computer-vision-deep-farshid-pirahansiah-1/)
* [Thresholding]([https://www.linkedin.com/pulse/thresholding-farshid-pirahansiah/](https://www.linkedin.com/pulse/thresholding-farshid-pirahansiah/)
###
Slides slideshare
* Deep Learning for Computer Vision in Ubuntu 19; Part 1 installation [Link]([https://www.slideshare.net/pirahansiah/deep-learning-for-computer-vision-in-ubuntu-19-part-1-installation](https://www.slideshare.net/pirahansiah/deep-learning-for-computer-vision-in-ubuntu-19-part-1-installation)
* Using Deep Learning for Computer Vision Applications [Link]([https://www.slideshare.net/pirahansiah/using-deep-learning-for-computer-vision-applications](https://www.slideshare.net/pirahansiah/using-deep-learning-for-computer-vision-applications) )
* tensorflow1.3 digits6.0 Caffe [Link]([https://www.slideshare.net/pirahansiah/farshid-tensorflow13-digits60caffe](https://www.slideshare.net/pirahansiah/farshid-tensorflow13-digits60caffe) )
* Install TensorFlow 1.2 on macOS Sierra on MacBook (June 2017) [Link]([https://www.slideshare.net/pirahansiah/install-tensorflow-12-on-macos-sierra-on-macbook-june-2017](https://www.slideshare.net/pirahansiah/install-tensorflow-12-on-macos-sierra-on-macbook-june-2017) )
* Best Deep Learning Post from LinkedIn Group [Link]([https://www.slideshare.net/pirahansiah/best-deep-learning-post-from-linkedin-group](https://www.slideshare.net/pirahansiah/best-deep-learning-post-from-linkedin-group) )
* Install, Compile, Setup, Setting OpenCV 3.2, Visual C++ 2015, Win 64bit [Link]([https://www.slideshare.net/pirahansiah/install-compile-setup-setting-opencv-32-visual-c-2015-win-64bit](https://www.slideshare.net/pirahansiah/install-compile-setup-setting-opencv-32-visual-c-2015-win-64bit) )
* Layers in Deep Learning&Caffe layers (model architecture ) [Link]([https://www.slideshare.net/pirahansiah/layers-in-deep-learningcaffe-layers-model-architecture](https://www.slideshare.net/pirahansiah/layers-in-deep-learningcaffe-layers-model-architecture) )
* How to install Digits 5.1 on Ubuntu 14 [Link]([https://www.slideshare.net/pirahansiah/how-to-install-digits-51-on-ubuntu-14](https://www.slideshare.net/pirahansiah/how-to-install-digits-51-on-ubuntu-14) )
* Deep Learning for Video Analysis – part 1 (DeepStream SDK) [NVIDIA TensorRT || NVIDIA GPU Inference Engine (GIE)] [Link]([https://www.slideshare.net/pirahansiah/deep-learning-for-video-analysis-part-1-deepstream-sdk-nvidia-tensorrt-nvidia-gpu-inference-engine-gie](https://www.slideshare.net/pirahansiah/deep-learning-for-video-analysis-part-1-deepstream-sdk-nvidia-tensorrt-nvidia-gpu-inference-engine-gie) )
* Computer Vision, Deep Learning, OpenCV [Link]([https://www.slideshare.net/pirahansiah/computer-vision-deep-learning-opencv](https://www.slideshare.net/pirahansiah/computer-vision-deep-learning-opencv) )
###
Online Courses
* [Writing with Impact ](https://www.linkedin.com/learning/writing-with-impact)
* [Balancing Work and Life ](https://www.linkedin.com/learning/balancing-work-and-life)
* [Finance Foundations: Income Taxes ](https://www.linkedin.com/learning/finance-foundations-income-taxes-2)
* [Starting a Business with Family and Friends ](https://www.linkedin.com/learning/starting-a-business-with-family-and-friends)
* [Finance Essentials for Small Business ](https://www.linkedin.com/learning/finance-essentials-for-small-business)
* [Setting Up Your Small Business as a Legal Entity ](https://www.linkedin.com/learning/setting-up-your-small-business-as-a-legal-entity)
* [Creating a Business Plan ](https://www.linkedin.com/learning/creating-a-business-plan-2)
* [Understanding Business ](https://www.linkedin.com/learning/understanding-business)
* [Entrepreneurship: Finding and Testing Your Business Idea ](https://www.linkedin.com/learning/entrepreneurship-finding-and-testing-your-business-idea)
* [Guy Kawasaki on Entrepreneurship ](https://www.linkedin.com/learning/guy-kawasaki-on-entrepreneurship)
* [Financial Modeling Foundations ](https://www.linkedin.com/learning/financial-modeling-foundations)
* [Financial Accounting Foundations ](https://www.linkedin.com/learning/financial-accounting-foundations)
* [Strategic Planning Foundations ](https://www.linkedin.com/learning/strategic-planning-foundations)
* [5 Personal Finance Tips ](https://www.linkedin.com/learning/5-personal-finance-tips)
* [Investment Evaluation ](https://www.linkedin.com/learning/investment-evaluation)
* [Managing Your Personal Investments ](https://www.linkedin.com/learning/managing-your-personal-investments)
* [Financial Wellness: Managing Personal Cash Flow ](https://www.linkedin.com/learning/financial-wellness-managing-personal-cash-flow)
* [Financial Wellness for Couples and Families ](https://www.linkedin.com/learning/financial-wellness-for-couples-and-families)
* [Managing Your Personal Finances ](https://www.linkedin.com/learning/managing-your-personal-finances)
* [Finance Foundations ](https://www.linkedin.com/learning/finance-foundations-2)
* [Entrepreneurship Foundations ](https://www.linkedin.com/learning/entrepreneurship-foundations-2)
* [Introduction to Deep Learning with OpenCV ](https://www.linkedin.com/learning/introduction-to-deep-learning-with-opencv)
* [OpenCV for Python Developers ](https://www.linkedin.com/learning/opencv-for-python-developers)
* [Brad Feld on Validating Your Startup Idea ](https://www.linkedin.com/learning/brad-feld-on-validating-your-startup-idea)
* [Brad Feld on Raising Capital ](https://www.linkedin.com/learning/brad-feld-on-raising-capital)
* [Take a More Creative Approach to Problem-Solving ](https://www.linkedin.com/learning/take-a-more-creative-approach-to-problem-solving)
* [Professional Networking ](https://www.linkedin.com/learning/professional-networking)
* [Building Relationships While Working from Home ](https://www.linkedin.com/learning/building-relationships-while-working-from-home)
* [Entrepreneurship: Raising Startup Capital ](https://www.linkedin.com/learning/entrepreneurship-raising-startup-capital)
* [Business Analysis Foundations: Business Process Modeling ](https://www.linkedin.com/learning/business-analysis-foundations-business-process-modeling)
* [Communicating with Confidence ](https://www.linkedin.com/learning/communicating-with-confidence)
* [Machine Learning for iOS Developers ](https://www.linkedin.com/learning/machine-learning-for-ios-developers)
###
Learning path
* [Stay Ahead in Personal Finance ](https://www.linkedin.com/learning/paths/stay-ahead-in-personal-finance)
* [Become a Small Business Owner ](https://www.linkedin.com/learning/paths/become-a-small-business-owner)
#
Completed
###
Reference
[https://drive.google.com/file/d/1xd5TZlEZnUUieXzw3Lxn3Sv7MwIajU_W/view?usp=sharing](https://drive.google.com/file/d/1xd5TZlEZnUUieXzw3Lxn3Sv7MwIajU_W/view?usp=sharing)
###
Link of best Groups
* [LinkedIn: Computer Vision, Deep Learning, Deep Reinforcement Learning, GANs, OpenCV, Caffe, TensorFlow,PyTorch](https://www.linkedin.com/groups/10320678/)
* [Source code](https://gitlab.com/pirahansiah)
* [Facebook : Deep Learning, Computer Vision, Robotics ](https://web.facebook.com/groups/185926728115336/)
* [The link to one-note notebook ](https://1drv.ms/u/s!AhG15hrdT9JOgR5GZgPjve65F-e5)
* [GitHub](https://github.com/pirahansiah)
###
Books
* [The Art of Startup Fundraising](https://www.amazon.de/-/en/Alejandro-Cremades-ebook/dp/B01DQ3GY3Y)
* [Mathematics for Machine Learning](https://mml-book.github.io/)
* Principles of Economics (6th edition)
* The E-Myth Revisited Why Most Small Businesses Don't Work and What to Do About It
* Clean Code: A Handbook of Agile Software Craftsmanship (Robert C. Martin)
* Reinventing Your Life: The Breakthough Program to End Negative Behavior
* Ways Of Thinking: The Limits Of Rational Thought And Artificial Intelligence
* [https://images.kw.com/docs/2/1/2/212345/1285134779158_htwfaip.pdf](https://images.kw.com/docs/2/1/2/212345/1285134779158_htwfaip.pdf)
* * [Computer Vision: Algorithms and Applications](http://szeliski.org/Book/)
* [Multiple View Geometry in Computer Vision Second Edition](https://www.robots.ox.ac.uk/~vgg/hzbook/)
* [Complete to download the latest draft of Machine Learning Yearning](https://www.deeplearning.ai/machine-learning-yearning/)
* Multiple view geometry in computer vision
* Learning OpenCV Book by Adrian Kaehler and Gary Bradski
* Digital Image Processing, Global Edition by Rafael C. Gonzalez
* Introduction to Algorithms, 3rd Edition (The MIT Press)
* The Mythical Man-Month: Essays on Software Engineering
* [OpenCV-4-with-Python-Blueprints-Second-Edition](https://github.com/PacktPublishing/OpenCV-4-with-Python-Blueprints-Second-Edition)
###
Videos
* [https://www.youtube.com/computervisiondeeplearning](https://www.youtube.com/computervisiondeeplearning)
* [Two Minute Papers](https://www.youtube.com/c/K%C3%A1rolyZsolnai/videos)
* [Conference on Pattern Recognition](https://www.gcpr-vmv-vcbm-2020.uni-tuebingen.de/)
* [https://researchseminars.org/?fbclid=IwAR0Ly9WLONBMBteYI7IhlRaMYR_rQR6YrpdxLG_sUxPxGYKQhB0SOTmcjgY](https://researchseminars.org/?fbclid=IwAR0Ly9WLONBMBteYI7IhlRaMYR_rQR6YrpdxLG_sUxPxGYKQhB0SOTmcjgY)
###
Papers
* CALTag: High Precision Fiducial Markers for Camera
* Diatom Autofocusing in Brightfield Microscopy: a Comparative Study
* Analysis of focus measure operators in shape-from-focus
* Optical flow modeling and computation: A survey
* Toward general type 2 fuzzy logic systems based on zSlices
###
Site
* [Research Tools By: Nader Ale Ebrahim](https://www.mindmeister.com/39583892/research-tools-by-nader-ale-ebrahim?t=HMmnzlA4zN) ([MindMap](https://www.mindmeister.com/39583892/research-tools-by-nader-ale-ebrahim?fullscreen=1#))
Reference-
ComputerVisionDeepLearning.pdf
* [https://virgool.io/@r_alimorady/easy-install-cuda-document-hhk6nuylvl1w](https://virgool.io/@r_alimorady/easy-install-cuda-document-hhk6nuylvl1w)
* [https://techcommunity.microsoft.com/t5/azure-ai/introducing-multivariate-anomaly-detection/ba-p/2260679](https://techcommunity.microsoft.com/t5/azure-ai/introducing-multivariate-anomaly-detection/ba-p/2260679)
* [https://www.freertos.org/index.html](https://www.freertos.org/index.html)
* [https://en.wikipedia.org/wiki/Knowledge_distillation](https://en.wikipedia.org/wiki/Knowledge_distillation)
* [https://80000hours.org/2015/10/startup-salaries-and-equity-compensation/](https://80000hours.org/2015/10/startup-salaries-and-equity-compensation/)
* [https://www.thecvf.com/?page_id=413](https://www.thecvf.com/?page_id=413)
* [https://levelup.gitconnected.com/s-o-l-i-d-principles-explained-in-python-with-examples-83b2b43bdcde?gi=a1fee170c917](https://levelup.gitconnected.com/s-o-l-i-d-principles-explained-in-python-with-examples-83b2b43bdcde?gi=a1fee170c917)
* [https://arxiv.org/pdf/2104.13921.pdf](https://arxiv.org/pdf/2104.13921.pdf)
* [https://blog.paperspace.com/object-detection-directed-mask-r-cnn-keras/](https://blog.paperspace.com/object-detection-directed-mask-r-cnn-keras/)
* [https://pub.towardsai.net/will-transformers-replace-cnns-in-computer-vision-55657a196833](https://pub.towardsai.net/will-transformers-replace-cnns-in-computer-vision-55657a196833)
* [https://medium.com/@daviddelaiglesiacastro/3d-point-cloud-generation-from-3d-triangular-mesh-bbb602ecf238](https://medium.com/@daviddelaiglesiacastro/3d-point-cloud-generation-from-3d-triangular-mesh-bbb602ecf238)
*
[https://koinly.io/](https://koinly.io/)
site map: octopus.do
[https://www.startupgermany.nrw/startup-
contest/](https://www.startupgermany.nrw/startup-contest/)
[https://www.kickstarter.com/projects/opencv/opencv-ai-kit-oak-depth-
camera-4k-cv-edge-object-
detection/description](https://www.kickstarter.com/projects/opencv/opencv-ai-
kit-oak-depth-camera-4k-cv-edge-object-detection/description)
[HOW I GAINED 68,000 SUBSCRIBERS IN A YEAR! | My Strategy to Grow on YouTube
in 2021! - YouTube
](https://www.youtube.com/watch?v=bwd1dQr33K8&list=PLxC08P2Oexy2EJKezV02N9cp3-qOEh79Z)
[https://www.youtube.com/watch?v=bwd1dQr33K8&list=PLxC08P2Oexy2EJKezV02N9cp3-qOEh79Z](https://www.youtube.com/watch?v=bwd1dQr33K8&list=PLxC08P2Oexy2EJKezV02N9cp3-qOEh79Z)
[https://www.youtube.com/watch?v=cFdApmqlllg](https://www.youtube.com/watch?v=cFdApmqlllg)
[محمد رضا شجریان، آلبوم کامل در خیال -
YouTube](https://www.youtube.com/watch?v=cFdApmqlllg)
[دوره جامع گوگل آنالیتیکس(UA) |
آنالیتیپس](https://analytips.io/product/google-analyticsua/)
[رادیوگیک - شماره ۱۲۱ - ما این لارادیوگیک - شماره ۱۲۱ - ما این لا -
YouTube](https://www.youtube.com/watch?v=dzBLhio-DIc)
[Social Selling Index | Sales
Navigator](https://www.linkedin.com/sales/ssi?src=or-
search&veh=www.google.com)
[https://rschu.me/list-a-directory-with-tree-command-on-mac-
os-x-3b2d4c4a4827](https://rschu.me/list-a-directory-with-tree-command-on-mac-
os-x-3b2d4c4a4827)
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# Links
pirahansiah, Personal, Roadmap, Books, Online Courses
[](https://drive.google.com/open?id=1ELXvmqcSciCK8-TUVsyVRnYTuxnKta-_xze-
oXQexwY "Open Spreadsheet, Links in new window")
Links
Links from my research and interest
AI in RISC-V
Mixed reality
Old Links
Reference
Link Groups
Top website
Python
Computer Vision
Documents
Business
Tools
Patents
Books
Journal Papers
Conference Papers
Articles on LinkedIn
Slides slideshare
Online Courses
Learning path
Completed
Reference
Link of best Groups
Books
Videos
Papers
Site
Efficient Video Dataset Loading and Augmentation in PyTorch for deep learning
training loops.
GitHub[ https://lnkd.in/gpR8idsp](https://lnkd.in/gpR8idsp)
[https://remmina.org/how-to-install-remmina/](https://remmina.org/how-to-
install-remmina/)
[https://readme.so/](https://readme.so/)
#
Links from my research and interest
[Build Better Generative Adversarial Networks (GANs) - Andrew Ng -
2021](https://www.youtube.com/playlist?list=PLuv1FSpHurUfl44GWqaCzEhGP-aP_-
VnF)
[https://www.oreilly.com/library/view/flow-
architectures/9781492075882/](https://www.oreilly.com/library/view/flow-
architectures/9781492075882/)
##
AI in RISC-V
* [RISC-V hardware & software ecosystem highlights in 2020](https://www.cnx-software.com/2020/12/10/risc-v-hardware-software-ecosystem-highlights-in-2020)
##
Mixed reality
* [https://github.com/MIT-SPARK/Kimera](https://github.com/MIT-SPARK/Kimera)
* Kimera is a C++ library for real-time metric-semantic simultaneous localization and mapping, which uses camera images and inertial data to build a semantically annotated 3D mesh of the environment. Kimera is modular, ROS-enabled, and runs on a CPU.
#
Old Links
###
Reference
[https://drive.google.com/file/d/1xd5TZlEZnUUieXzw3Lxn3Sv7MwIajU_W/view?usp=sharing](https://drive.google.com/file/d/1xd5TZlEZnUUieXzw3Lxn3Sv7MwIajU_W/view?usp=sharing)
###
Link Groups
* [LinkedIn: Computer Vision, Deep Learning, Deep Reinforcement Learning, GANs, OpenCV, Caffe, TensorFlow,PyTorch](https://www.linkedin.com/groups/10320678/)
* [Source code](https://gitlab.com/pirahansiah)
* [Facebook : Deep Learning, Computer Vision, Robotics ](https://web.facebook.com/groups/185926728115336/)
* [The link to one-note notebook ](https://1drv.ms/u/s!AhG15hrdT9JOgR5GZgPjve65F-e5)
* [GitHub](https://github.com/pirahansiah)
###
Top website
* [https://paperswithcode.com/](https://paperswithcode.com/)
* [https://www.learnthepart.com/](https://www.learnthepart.com/)
* [https://hackaday.com/](https://hackaday.com/)
* [https://medium.com/@pirahansiah/timesaver-626019137fa9?sk=cde3334919d6c16ba0964fe021a24762](https://medium.com/@pirahansiah/timesaver-626019137fa9?sk=cde3334919d6c16ba0964fe021a24762)
* hbrew install youtube-dl
* [https://www.masterclass.com/](https://www.masterclass.com/)
* [Deep Learning for coders (2020)](https://www.youtube.com/user/howardjeremyp)
* [Deep Learning for Video](https://mcv-m6-video.github.io/deepvideo-2019/) (Master in Computer Vision Barcelona)
* [Augmented Reality using ArUco Markers in OpenCV (C++ / Python)](https://www.learnopencv.com/augmented-reality-using-aruco-markers-in-opencv-c-python/)
* [https://explainshell.com/](https://explainshell.com/)
* [https://stackoverflow.blog/2020/02/12/when-laziness-is-efficient-make-the-most-of-your-command-line/](https://stackoverflow.blog/2020/02/12/when-laziness-is-efficient-make-the-most-of-your-command-line/?utm_source=Iterable&utm_medium=email&utm_campaign=the_overflow_newsletter&utm_content=02-19-20)
* [https://link.medium.com/XA49Ke0Jt4](https://link.medium.com/XA49Ke0Jt4)
* [https://link.medium.com/Np0YEy1Jt4](https://link.medium.com/Np0YEy1Jt4)
###
Python
* [How to Write Beautiful Python Code With PEP 8](https://realpython.com/python-pep8/)
* [PEP 622 -- Structural Pattern Matching](https://www.python.org/dev/peps/pep-0622/)
* [Monitor Your Dependencies! Stop Being A Blind Data-Scientist.](https://towardsdatascience.com/monitor-your-dependencies-stop-being-a-blind-data-scientist-a3150bd64594)
###
Computer Vision
* [Hybrid CV/DL pipelines with OpenCV 4.4 G-API](https://opencv.org/hybrid-cv-dl-pipelines-with-opencv-4-4-g-api/)
* [PaddleDetection is an end-to-end object detection development kit based on PaddlePaddle, which aims to help developers in the whole development of training models, optimizing performance and inference speed, and deploying models. ](https://github.com/PaddlePaddle/PaddleDetection/blob/release/0.4/README_en.md)
* [https://github.com/google/mediapipe](https://github.com/google/mediapipe)
###
Documents
* [https://book.keybase.io/docs](https://book.keybase.io/docs)
* [kind is a tool for running local Kubernetes clusters using Docker container "nodes".](https://github.com/kubernetes-sigs/kind)
* [FINN is an experimental framework from Xilinx Research Labs to explore deep neural network inference on FPGAs. ](https://xilinx.github.io/finn/)
* [Gitter is a chat and networking platform that helps to manage, grow and connect communities through messaging, content and discovery.](https://gitter.im/)
* [Fair and useful benchmarks for measuring training and inference performance of ML hardware, software, and services.](https://mlperf.org/)
* [https://kepler.gl/demo](https://kepler.gl/demo)
* [Open source, highly available Prometheus setup with long term storage capabilities.](https://thanos.io/)
* [Deep Learning Design Patterns - Jr Data Scientist - Part 3 - Alternative Connectivity Patterns](https://www.youtube.com/watch?v=JI-MButCqUE)
###
Business
* [5 Ways to Make More Money as a Coach or Consultant](https://www.entrepreneur.com/article/283006)
* [https://www.youtube.com/watch?v=njx09wXb9o0&list=PLnhdsL4kFmVYMNq6F8k8UiFkc6fwIdk3o&index=5](https://www.youtube.com/watch?v=njx09wXb9o0&list=PLnhdsL4kFmVYMNq6F8k8UiFkc6fwIdk3o&index=5)
###
Tools
* Free convert video for mac opensource
* [https://github.com/HandBrake/HandBrake](https://github.com/HandBrake/HandBrake)
* [https://handbrake.fr/rotation.php?file=HandBrake-1.3.3.dmg](https://handbrake.fr/rotation.php?file=HandBrake-1.3.3.dmg)
* [global-gitignore.md](https://gist.github.com/subfuzion/db7f57fff2fb6998a16c)
* [https://nextbillion.ai/](https://nextbillion.ai/) Mapping platform built for enterprises
* [https://github.com/ondras/my-mind](https://github.com/ondras/my-mind) MindMap
* [Create and share beautiful images of your source code.](https://carbon.now.sh/)
* [Web IDE](https://replit.com/templates)
* [https://github.com/jely2002/youtube-dl-gui/releases/tag/v2.2.2](https://github.com/jely2002/youtube-dl-gui/releases/tag/v2.2.2)
###
Patents
[https://patents.google.com/?inventor=pirahansiah&oq=pirahansiah](https://patents.google.com/?inventor=pirahansiah&oq=pirahansiah)
1. System and method for providing advertisement contents based on facial analysis (WO2020141969A2)
2. A method for augmenting a plurality of face images (WO2021060971A1)
3. A method for detecting a moving vehicle (WO2021107761A1)
1. System and method for providing advertisement contents based on facial analysis (WO2020141969A2)
The present invention relates to a system (100) for providing advertisement
contents based on facial analysis comprising an image acquisition device (10)
to acquire an image of a user, a face detection module (20) to detect face of
the user in the image, an analysis module (40) to analyse the facial features
statistically using classification models retrieved from a classification
module (30), a database (60) to store matching rules, weighted advertisements
and a plurality of advertisement contents; and a display device (80) to
display the advertisement contents. The system (100) further comprises a
computation module (50) to compute weighted image of the user and a matching
module (70) to match the weighted image of the user with the weighted
advertisement to select an advertisement content based on facial analysis of
the user. A method of providing the advertisement contents based on facial
analysis is also provided thereof.
[https://patentimages.storage.googleapis.com/ff/3f/a5/e7b42ef58d8a03/WO2020141969A2.pdf](https://patentimages.storage.googleapis.com/ff/3f/a5/e7b42ef58d8a03/WO2020141969A2.pdf)
2. A method for augmenting a plurality of face images (WO2021060971A1)
The present invention relates to a method for increasing data for face
analysis in video surveillance. The method comprises the steps of acquiring at
least one face image from an image acquisition module (102), acquiring a
plurality of face images available on the internet using a data input module
(104), increasing face images by at least one data augmentation module (106
and 107), generating a plurality of face images based on a trained Generative
Adversarial Network, GAN technique by using a GAN module, selecting proper
images based on quality of the face images using a fuzzy logic module (111),
saving the selected images into a fifth database, and training the deep
learning module (113).
[https://patentimages.storage.googleapis.com/b8/d9/7f/ea8a5b789e1dad/WO2021060971A1.pdf](https://patentimages.storage.googleapis.com/b8/d9/7f/ea8a5b789e1dad/WO2021060971A1.pdf)
3. A method for detecting a moving vehicle (WO2021107761A1)
The present invention relates to a method for detecting a moving vehicle. The
method comprises the steps of grabbing an initial image from a video stream by
a vehicle detection module (1100), wherein the vehicle detection module (1100)
is a part of a system (1000) to identify moving vehicle, enhancing the
illumination of the initial image by the vehicle detection module (1100),
enhancing the edges within the initial image by the vehicle detection module
(1100), and finding vehicle based on homogenous properties of the body of the
vehicle by the vehicle detection module (1100). The step of finding vehicle
based on homogenous property of the body of the vehicle by the vehicle
detection module (1100) further comprising the sub-steps of closing open
edges, inverting the binary image, segmenting an inverted binary image,
filtering the noise based on geometric feature, and filtering the noise based
on relation.
[https://patentimages.storage.googleapis.com/16/41/83/2576e20c4a0af5/WO2021107761A1.pdf](https://patentimages.storage.googleapis.com/16/41/83/2576e20c4a0af5/WO2021107761A1.pdf)
###
Books
1. [book chapter titled “Camera Calibration and Video Stabilization Framework for Robot Localization” in the Book entitled “Control Engineering in Robotics and Industrial Automation" which will be published (24/07/2021) in Springer. ](https://www.waterstones.com/book/control-engineering-in-robotics-and-industrial-automation/muralindran-mariappan/mohd-rizal-arshad/9783030745394)
2. [book chapter titled “Augmented Optical Flow Methods for Video Stabilization", In Computational Intelligence: from theory to application. (2017) (p18). ](http://www.ukm.my/penerbit/penerbitan-2017/)
###
Journal Papers
* Using An Ant Colony Optimization Algorithm For Image Edge Detection As A Threshold Segmentation For OCR System Journal of Theoretical & Applied Information Technology, 95(21)
* * [http://www.jatit.org/volumes/Vol95No21/1Vol95No21.pdf](http://www.jatit.org/volumes/Vol95No21/1Vol95No21.pdf)
* GSFT-PSNR: Global Single Fuzzy Threshold Based on PSNR for OCR Systems, International Journal of Computer Science and Network Solutions 4(6)
* * [https://www.ijcsns.com/June.2016-Volume.4-No.6/Article01.pdf](https://www.ijcsns.com/June.2016-Volume.4-No.6/Article01.pdf)
* Adaptive Image Thresholding based On the Peak Signal-To-Noise Ratio, Research Journal of Applied Sciences, Engineering and Technology 8(9).
* * [http://www.academia.edu/download/44161592/Adaptive_Image_Thresholding_Based_on_the20160328-31366-1wyb1jc.pdf](http://www.academia.edu/download/44161592/Adaptive_Image_Thresholding_Based_on_the20160328-31366-1wyb1jc.pdf)
* Simultaneous Localization and Mapping Trends and Humanoid Robot Linkages, Asia-Pacific Journal of Information Technology and Multimedia (APJITM)
* * [http://journalarticle.ukm.my/6644/1/4429-10302-1-SM.pdf](http://journalarticle.ukm.my/6644/1/4429-10302-1-SM.pdf)
* Peak Signal-To-Noise Ratio Based On Threshold Method for Image Segmentation, Journal of Theoretical & Applied Information Technology, 57(2)
* * [http://www.jatit.org/volumes/Vol57No2/4Vol57No2.pdf](http://www.jatit.org/volumes/Vol57No2/4Vol57No2.pdf)
* Character recognition based on global feature extraction; Journal of Theoretical and Applied Information Technology 52
* * [http://www.jatit.org/volumes/Vol52No2/6Vol52No2.pdf](http://www.jatit.org/volumes/Vol52No2/6Vol52No2.pdf)
###
Conference Papers
* Pattern Image Significance for Camera Calibration, IEEE Student Conference on Research and Development (SCOReD 2017)
* [http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8305440&isnumber=8305342](http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8305440&isnumber=8305342)
* Augmented optical flow methods for video stabilization. 4th Artificial Intelligence Technology Postgraduate Seminar (CAITPS 2015)
* [http://www.academia.edu/download/45596617/farshid.pdf](http://www.academia.edu/download/45596617/farshid.pdf)
* Auto-Calibration for Multi-Modal Robot Vision based on Image Quality Assessment, The 10th Asian Control Conference (ASCC 2015)
* [https://doi.org/10.1109/ASCC.2015.7360336](https://doi.org/10.1109/ASCC.2015.7360336)
* 2D versus 3D Map for Environment Movement Objects, Second National Doctoral Seminar in Artificial Intelligence Technology (CAIT 2012)
* [http://www.ftsm.ukm.my/cait2012/images/Program%20Schedule%20CAIT2012.pdf](http://www.ftsm.ukm.my/cait2012/images/Program%20Schedule%20CAIT2012.pdf)
* Comparison Single Thresholding Method for Image Segmentation on Handwritten Images, International Conference on Pattern Analysis and Intelligent Robotics
* [https://doi.org/10.1109/ICPAIR.2011.5976918](https://doi.org/10.1109/ICPAIR.2011.5976918)
* License Plate Recognition with Multi-Threshold Based on Entropy, 3rd International Conference on Electrical Engineering and Informatics (ICEEI 2011)
* [https://doi.org/10.1109/ICEEI.2011.6021627](https://doi.org/10.1109/ICEEI.2011.6021627)
* Character recognition based on global feature extraction, 3rd International Conference On Electrical Engineering and Informatics (ICEEI 2011)
* [https://pdfs.semanticscholar.org/2d22/66bfb2f5ba5cb40b5946b82c620dc713d793.pdf](https://pdfs.semanticscholar.org/2d22/66bfb2f5ba5cb40b5946b82c620dc713d793.pdf)
* [https://doi.org/10.1109/ICEEI.2011.6021649](https://doi.org/10.1109/ICEEI.2011.6021649)
* Tafresh Grid: Grid computing in Tafresh university," 2011 IEEE 3rd International Conference on Communication Software and Networks, Xi'an, 2011, pp. 83-85.
* [http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6014009&isnumber=6013532](http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6014009&isnumber=6013532)
* Adaptive image segmentation based on Peak Signal to Noise Ratio for a license plate Recognition system, International Conference on Computer Applications and Industrial Electronics (ICCAIE 2010)
* [https://doi.org/10.1109/ICCAIE.2010.5735125](https://doi.org/10.1109/ICCAIE.2010.5735125)
* [http://www.academia.edu/download/44161592/Adaptive_Image_Thresholding_Based_on_the20160328-31366-1wyb1jc.pdf](http://www.academia.edu/download/44161592/Adaptive_Image_Thresholding_Based_on_the20160328-31366-1wyb1jc.pdf)
* Multi-threshold approach for license plate recognition system, International Conference on Signal and Image Processing WASET ICSIP 2010:1046-1050
* [http://waset.org/publications/3636](http://waset.org/publications/3636)
* An evaluation of classification techniques using enhanced Geometrical Topological Feature Analysis, 2nd Malaysian Joint Conference on Artificial Intelligence (MJCAI 2010)
* [https://scholar.google.com/scholar?oi=bibs&cluster=3038184255311332521&btnI=1&hl=en](https://scholar.google.com/scholar?oi=bibs&cluster=3038184255311332521&btnI=1&hl=en)
###
Articles on LinkedIn
* [ADRL: Advanced Deep Reinforcement Learning {Patents and papers; Main point summary on recently published research on DRL} (draft version Feb 2019) ]([https://www.linkedin.com/pulse/patents-papers-adrl-advanced-deep-reinforcement-feb-pirahansiah-phd/](https://www.linkedin.com/pulse/patents-papers-adrl-advanced-deep-reinforcement-feb-pirahansiah-phd/))
* [The most important research papers for deep learning (updated December, 2017)]([https://www.linkedin.com/pulse/most-important-research-papers-deep-learning-updated-2017-farshid/](https://www.linkedin.com/pulse/most-important-research-papers-deep-learning-updated-2017-farshid/) )
* [List of useful links (Videos, Slides, Articles) for Deep Learning ]([https://www.linkedin.com/pulse/list-useful-links-videos-slides-articles-deep-farshid-pirahansiah/](https://www.linkedin.com/pulse/list-useful-links-videos-slides-articles-deep-farshid-pirahansiah/))
* [Autonomous driving vehicles (Computer Vision, Deep Learning)]([https://www.linkedin.com/pulse/autonomous-driving-vehicles-computer-vision-deep-farshid-pirahansiah-1/](https://www.linkedin.com/pulse/autonomous-driving-vehicles-computer-vision-deep-farshid-pirahansiah-1/)
* [Thresholding]([https://www.linkedin.com/pulse/thresholding-farshid-pirahansiah/](https://www.linkedin.com/pulse/thresholding-farshid-pirahansiah/)
###
Slides slideshare
* Deep Learning for Computer Vision in Ubuntu 19; Part 1 installation [Link]([https://www.slideshare.net/pirahansiah/deep-learning-for-computer-vision-in-ubuntu-19-part-1-installation](https://www.slideshare.net/pirahansiah/deep-learning-for-computer-vision-in-ubuntu-19-part-1-installation)
* Using Deep Learning for Computer Vision Applications [Link]([https://www.slideshare.net/pirahansiah/using-deep-learning-for-computer-vision-applications](https://www.slideshare.net/pirahansiah/using-deep-learning-for-computer-vision-applications) )
* tensorflow1.3 digits6.0 Caffe [Link]([https://www.slideshare.net/pirahansiah/farshid-tensorflow13-digits60caffe](https://www.slideshare.net/pirahansiah/farshid-tensorflow13-digits60caffe) )
* Install TensorFlow 1.2 on macOS Sierra on MacBook (June 2017) [Link]([https://www.slideshare.net/pirahansiah/install-tensorflow-12-on-macos-sierra-on-macbook-june-2017](https://www.slideshare.net/pirahansiah/install-tensorflow-12-on-macos-sierra-on-macbook-june-2017) )
* Best Deep Learning Post from LinkedIn Group [Link]([https://www.slideshare.net/pirahansiah/best-deep-learning-post-from-linkedin-group](https://www.slideshare.net/pirahansiah/best-deep-learning-post-from-linkedin-group) )
* Install, Compile, Setup, Setting OpenCV 3.2, Visual C++ 2015, Win 64bit [Link]([https://www.slideshare.net/pirahansiah/install-compile-setup-setting-opencv-32-visual-c-2015-win-64bit](https://www.slideshare.net/pirahansiah/install-compile-setup-setting-opencv-32-visual-c-2015-win-64bit) )
* Layers in Deep Learning&Caffe layers (model architecture ) [Link]([https://www.slideshare.net/pirahansiah/layers-in-deep-learningcaffe-layers-model-architecture](https://www.slideshare.net/pirahansiah/layers-in-deep-learningcaffe-layers-model-architecture) )
* How to install Digits 5.1 on Ubuntu 14 [Link]([https://www.slideshare.net/pirahansiah/how-to-install-digits-51-on-ubuntu-14](https://www.slideshare.net/pirahansiah/how-to-install-digits-51-on-ubuntu-14) )
* Deep Learning for Video Analysis – part 1 (DeepStream SDK) [NVIDIA TensorRT || NVIDIA GPU Inference Engine (GIE)] [Link]([https://www.slideshare.net/pirahansiah/deep-learning-for-video-analysis-part-1-deepstream-sdk-nvidia-tensorrt-nvidia-gpu-inference-engine-gie](https://www.slideshare.net/pirahansiah/deep-learning-for-video-analysis-part-1-deepstream-sdk-nvidia-tensorrt-nvidia-gpu-inference-engine-gie) )
* Computer Vision, Deep Learning, OpenCV [Link]([https://www.slideshare.net/pirahansiah/computer-vision-deep-learning-opencv](https://www.slideshare.net/pirahansiah/computer-vision-deep-learning-opencv) )
###
Online Courses
* [Writing with Impact ](https://www.linkedin.com/learning/writing-with-impact)
* [Balancing Work and Life ](https://www.linkedin.com/learning/balancing-work-and-life)
* [Finance Foundations: Income Taxes ](https://www.linkedin.com/learning/finance-foundations-income-taxes-2)
* [Starting a Business with Family and Friends ](https://www.linkedin.com/learning/starting-a-business-with-family-and-friends)
* [Finance Essentials for Small Business ](https://www.linkedin.com/learning/finance-essentials-for-small-business)
* [Setting Up Your Small Business as a Legal Entity ](https://www.linkedin.com/learning/setting-up-your-small-business-as-a-legal-entity)
* [Creating a Business Plan ](https://www.linkedin.com/learning/creating-a-business-plan-2)
* [Understanding Business ](https://www.linkedin.com/learning/understanding-business)
* [Entrepreneurship: Finding and Testing Your Business Idea ](https://www.linkedin.com/learning/entrepreneurship-finding-and-testing-your-business-idea)
* [Guy Kawasaki on Entrepreneurship ](https://www.linkedin.com/learning/guy-kawasaki-on-entrepreneurship)
* [Financial Modeling Foundations ](https://www.linkedin.com/learning/financial-modeling-foundations)
* [Financial Accounting Foundations ](https://www.linkedin.com/learning/financial-accounting-foundations)
* [Strategic Planning Foundations ](https://www.linkedin.com/learning/strategic-planning-foundations)
* [5 Personal Finance Tips ](https://www.linkedin.com/learning/5-personal-finance-tips)
* [Investment Evaluation ](https://www.linkedin.com/learning/investment-evaluation)
* [Managing Your Personal Investments ](https://www.linkedin.com/learning/managing-your-personal-investments)
* [Financial Wellness: Managing Personal Cash Flow ](https://www.linkedin.com/learning/financial-wellness-managing-personal-cash-flow)
* [Financial Wellness for Couples and Families ](https://www.linkedin.com/learning/financial-wellness-for-couples-and-families)
* [Managing Your Personal Finances ](https://www.linkedin.com/learning/managing-your-personal-finances)
* [Finance Foundations ](https://www.linkedin.com/learning/finance-foundations-2)
* [Entrepreneurship Foundations ](https://www.linkedin.com/learning/entrepreneurship-foundations-2)
* [Introduction to Deep Learning with OpenCV ](https://www.linkedin.com/learning/introduction-to-deep-learning-with-opencv)
* [OpenCV for Python Developers ](https://www.linkedin.com/learning/opencv-for-python-developers)
* [Brad Feld on Validating Your Startup Idea ](https://www.linkedin.com/learning/brad-feld-on-validating-your-startup-idea)
* [Brad Feld on Raising Capital ](https://www.linkedin.com/learning/brad-feld-on-raising-capital)
* [Take a More Creative Approach to Problem-Solving ](https://www.linkedin.com/learning/take-a-more-creative-approach-to-problem-solving)
* [Professional Networking ](https://www.linkedin.com/learning/professional-networking)
* [Building Relationships While Working from Home ](https://www.linkedin.com/learning/building-relationships-while-working-from-home)
* [Entrepreneurship: Raising Startup Capital ](https://www.linkedin.com/learning/entrepreneurship-raising-startup-capital)
* [Business Analysis Foundations: Business Process Modeling ](https://www.linkedin.com/learning/business-analysis-foundations-business-process-modeling)
* [Communicating with Confidence ](https://www.linkedin.com/learning/communicating-with-confidence)
* [Machine Learning for iOS Developers ](https://www.linkedin.com/learning/machine-learning-for-ios-developers)
###
Learning path
* [Stay Ahead in Personal Finance ](https://www.linkedin.com/learning/paths/stay-ahead-in-personal-finance)
* [Become a Small Business Owner ](https://www.linkedin.com/learning/paths/become-a-small-business-owner)
#
Completed
###
Reference
[https://drive.google.com/file/d/1xd5TZlEZnUUieXzw3Lxn3Sv7MwIajU_W/view?usp=sharing](https://drive.google.com/file/d/1xd5TZlEZnUUieXzw3Lxn3Sv7MwIajU_W/view?usp=sharing)
###
Link of best Groups
* [LinkedIn: Computer Vision, Deep Learning, Deep Reinforcement Learning, GANs, OpenCV, Caffe, TensorFlow,PyTorch](https://www.linkedin.com/groups/10320678/)
* [Source code](https://gitlab.com/pirahansiah)
* [Facebook : Deep Learning, Computer Vision, Robotics ](https://web.facebook.com/groups/185926728115336/)
* [The link to one-note notebook ](https://1drv.ms/u/s!AhG15hrdT9JOgR5GZgPjve65F-e5)
* [GitHub](https://github.com/pirahansiah)
###
Books
* [The Art of Startup Fundraising](https://www.amazon.de/-/en/Alejandro-Cremades-ebook/dp/B01DQ3GY3Y)
* [Mathematics for Machine Learning](https://mml-book.github.io/)
* Principles of Economics (6th edition)
* The E-Myth Revisited Why Most Small Businesses Don't Work and What to Do About It
* Clean Code: A Handbook of Agile Software Craftsmanship (Robert C. Martin)
* Reinventing Your Life: The Breakthough Program to End Negative Behavior
* Ways Of Thinking: The Limits Of Rational Thought And Artificial Intelligence
* [https://images.kw.com/docs/2/1/2/212345/1285134779158_htwfaip.pdf](https://images.kw.com/docs/2/1/2/212345/1285134779158_htwfaip.pdf)
* * [Computer Vision: Algorithms and Applications](http://szeliski.org/Book/)
* [Multiple View Geometry in Computer Vision Second Edition](https://www.robots.ox.ac.uk/~vgg/hzbook/)
* [Complete to download the latest draft of Machine Learning Yearning](https://www.deeplearning.ai/machine-learning-yearning/)
* Multiple view geometry in computer vision
* Learning OpenCV Book by Adrian Kaehler and Gary Bradski
* Digital Image Processing, Global Edition by Rafael C. Gonzalez
* Introduction to Algorithms, 3rd Edition (The MIT Press)
* The Mythical Man-Month: Essays on Software Engineering
* [OpenCV-4-with-Python-Blueprints-Second-Edition](https://github.com/PacktPublishing/OpenCV-4-with-Python-Blueprints-Second-Edition)
###
Videos
* [https://www.youtube.com/computervisiondeeplearning](https://www.youtube.com/computervisiondeeplearning)
* [Two Minute Papers](https://www.youtube.com/c/K%C3%A1rolyZsolnai/videos)
* [Conference on Pattern Recognition](https://www.gcpr-vmv-vcbm-2020.uni-tuebingen.de/)
* [https://researchseminars.org/?fbclid=IwAR0Ly9WLONBMBteYI7IhlRaMYR_rQR6YrpdxLG_sUxPxGYKQhB0SOTmcjgY](https://researchseminars.org/?fbclid=IwAR0Ly9WLONBMBteYI7IhlRaMYR_rQR6YrpdxLG_sUxPxGYKQhB0SOTmcjgY)
###
Papers
* CALTag: High Precision Fiducial Markers for Camera
* Diatom Autofocusing in Brightfield Microscopy: a Comparative Study
* Analysis of focus measure operators in shape-from-focus
* Optical flow modeling and computation: A survey
* Toward general type 2 fuzzy logic systems based on zSlices
###
Site
* [Research Tools By: Nader Ale Ebrahim](https://www.mindmeister.com/39583892/research-tools-by-nader-ale-ebrahim?t=HMmnzlA4zN) ([MindMap](https://www.mindmeister.com/39583892/research-tools-by-nader-ale-ebrahim?fullscreen=1#))
Reference-
ComputerVisionDeepLearning.pdf
* [https://virgool.io/@r_alimorady/easy-install-cuda-document-hhk6nuylvl1w](https://virgool.io/@r_alimorady/easy-install-cuda-document-hhk6nuylvl1w)
* [https://techcommunity.microsoft.com/t5/azure-ai/introducing-multivariate-anomaly-detection/ba-p/2260679](https://techcommunity.microsoft.com/t5/azure-ai/introducing-multivariate-anomaly-detection/ba-p/2260679)
* [https://www.freertos.org/index.html](https://www.freertos.org/index.html)
* [https://en.wikipedia.org/wiki/Knowledge_distillation](https://en.wikipedia.org/wiki/Knowledge_distillation)
* [https://80000hours.org/2015/10/startup-salaries-and-equity-compensation/](https://80000hours.org/2015/10/startup-salaries-and-equity-compensation/)
* [https://www.thecvf.com/?page_id=413](https://www.thecvf.com/?page_id=413)
* [https://levelup.gitconnected.com/s-o-l-i-d-principles-explained-in-python-with-examples-83b2b43bdcde?gi=a1fee170c917](https://levelup.gitconnected.com/s-o-l-i-d-principles-explained-in-python-with-examples-83b2b43bdcde?gi=a1fee170c917)
* [https://arxiv.org/pdf/2104.13921.pdf](https://arxiv.org/pdf/2104.13921.pdf)
* [https://blog.paperspace.com/object-detection-directed-mask-r-cnn-keras/](https://blog.paperspace.com/object-detection-directed-mask-r-cnn-keras/)
* [https://pub.towardsai.net/will-transformers-replace-cnns-in-computer-vision-55657a196833](https://pub.towardsai.net/will-transformers-replace-cnns-in-computer-vision-55657a196833)
* [https://medium.com/@daviddelaiglesiacastro/3d-point-cloud-generation-from-3d-triangular-mesh-bbb602ecf238](https://medium.com/@daviddelaiglesiacastro/3d-point-cloud-generation-from-3d-triangular-mesh-bbb602ecf238)
*
[https://koinly.io/](https://koinly.io/)
site map: octopus.do
[https://www.startupgermany.nrw/startup-
contest/](https://www.startupgermany.nrw/startup-contest/)
[https://www.kickstarter.com/projects/opencv/opencv-ai-kit-oak-depth-
camera-4k-cv-edge-object-
detection/description](https://www.kickstarter.com/projects/opencv/opencv-ai-
kit-oak-depth-camera-4k-cv-edge-object-detection/description)
[HOW I GAINED 68,000 SUBSCRIBERS IN A YEAR! | My Strategy to Grow on YouTube
in 2021! - YouTube
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# Links
pirahansiah, Personal, Roadmap, Books, Online Courses
[](https://drive.google.com/open?id=1ELXvmqcSciCK8-TUVsyVRnYTuxnKta-_xze-
oXQexwY "Open Spreadsheet, Links in new window")
Links
Links from my research and interest
AI in RISC-V
Mixed reality
Old Links
Reference
Link Groups
Top website
Python
Computer Vision
Documents
Business
Tools
Patents
Books
Journal Papers
Conference Papers
Articles on LinkedIn
Slides slideshare
Online Courses
Learning path
Completed
Reference
Link of best Groups
Books
Videos
Papers
Site
Efficient Video Dataset Loading and Augmentation in PyTorch for deep learning
training loops.
GitHub[ https://lnkd.in/gpR8idsp](https://lnkd.in/gpR8idsp)
[https://remmina.org/how-to-install-remmina/](https://remmina.org/how-to-
install-remmina/)
[https://readme.so/](https://readme.so/)
#
Links from my research and interest
[Build Better Generative Adversarial Networks (GANs) - Andrew Ng -
2021](https://www.youtube.com/playlist?list=PLuv1FSpHurUfl44GWqaCzEhGP-aP_-
VnF)
[https://www.oreilly.com/library/view/flow-
architectures/9781492075882/](https://www.oreilly.com/library/view/flow-
architectures/9781492075882/)
##
AI in RISC-V
* [RISC-V hardware & software ecosystem highlights in 2020](https://www.cnx-software.com/2020/12/10/risc-v-hardware-software-ecosystem-highlights-in-2020)
##
Mixed reality
* [https://github.com/MIT-SPARK/Kimera](https://github.com/MIT-SPARK/Kimera)
* Kimera is a C++ library for real-time metric-semantic simultaneous localization and mapping, which uses camera images and inertial data to build a semantically annotated 3D mesh of the environment. Kimera is modular, ROS-enabled, and runs on a CPU.
#
Old Links
###
Reference
[https://drive.google.com/file/d/1xd5TZlEZnUUieXzw3Lxn3Sv7MwIajU_W/view?usp=sharing](https://drive.google.com/file/d/1xd5TZlEZnUUieXzw3Lxn3Sv7MwIajU_W/view?usp=sharing)
###
Link Groups
* [LinkedIn: Computer Vision, Deep Learning, Deep Reinforcement Learning, GANs, OpenCV, Caffe, TensorFlow,PyTorch](https://www.linkedin.com/groups/10320678/)
* [Source code](https://gitlab.com/pirahansiah)
* [Facebook : Deep Learning, Computer Vision, Robotics ](https://web.facebook.com/groups/185926728115336/)
* [The link to one-note notebook ](https://1drv.ms/u/s!AhG15hrdT9JOgR5GZgPjve65F-e5)
* [GitHub](https://github.com/pirahansiah)
###
Top website
* [https://paperswithcode.com/](https://paperswithcode.com/)
* [https://www.learnthepart.com/](https://www.learnthepart.com/)
* [https://hackaday.com/](https://hackaday.com/)
* [https://medium.com/@pirahansiah/timesaver-626019137fa9?sk=cde3334919d6c16ba0964fe021a24762](https://medium.com/@pirahansiah/timesaver-626019137fa9?sk=cde3334919d6c16ba0964fe021a24762)
* hbrew install youtube-dl
* [https://www.masterclass.com/](https://www.masterclass.com/)
* [Deep Learning for coders (2020)](https://www.youtube.com/user/howardjeremyp)
* [Deep Learning for Video](https://mcv-m6-video.github.io/deepvideo-2019/) (Master in Computer Vision Barcelona)
* [Augmented Reality using ArUco Markers in OpenCV (C++ / Python)](https://www.learnopencv.com/augmented-reality-using-aruco-markers-in-opencv-c-python/)
* [https://explainshell.com/](https://explainshell.com/)
* [https://stackoverflow.blog/2020/02/12/when-laziness-is-efficient-make-the-most-of-your-command-line/](https://stackoverflow.blog/2020/02/12/when-laziness-is-efficient-make-the-most-of-your-command-line/?utm_source=Iterable&utm_medium=email&utm_campaign=the_overflow_newsletter&utm_content=02-19-20)
* [https://link.medium.com/XA49Ke0Jt4](https://link.medium.com/XA49Ke0Jt4)
* [https://link.medium.com/Np0YEy1Jt4](https://link.medium.com/Np0YEy1Jt4)
###
Python
* [How to Write Beautiful Python Code With PEP 8](https://realpython.com/python-pep8/)
* [PEP 622 -- Structural Pattern Matching](https://www.python.org/dev/peps/pep-0622/)
* [Monitor Your Dependencies! Stop Being A Blind Data-Scientist.](https://towardsdatascience.com/monitor-your-dependencies-stop-being-a-blind-data-scientist-a3150bd64594)
###
Computer Vision
* [Hybrid CV/DL pipelines with OpenCV 4.4 G-API](https://opencv.org/hybrid-cv-dl-pipelines-with-opencv-4-4-g-api/)
* [PaddleDetection is an end-to-end object detection development kit based on PaddlePaddle, which aims to help developers in the whole development of training models, optimizing performance and inference speed, and deploying models. ](https://github.com/PaddlePaddle/PaddleDetection/blob/release/0.4/README_en.md)
* [https://github.com/google/mediapipe](https://github.com/google/mediapipe)
###
Documents
* [https://book.keybase.io/docs](https://book.keybase.io/docs)
* [kind is a tool for running local Kubernetes clusters using Docker container "nodes".](https://github.com/kubernetes-sigs/kind)
* [FINN is an experimental framework from Xilinx Research Labs to explore deep neural network inference on FPGAs. ](https://xilinx.github.io/finn/)
* [Gitter is a chat and networking platform that helps to manage, grow and connect communities through messaging, content and discovery.](https://gitter.im/)
* [Fair and useful benchmarks for measuring training and inference performance of ML hardware, software, and services.](https://mlperf.org/)
* [https://kepler.gl/demo](https://kepler.gl/demo)
* [Open source, highly available Prometheus setup with long term storage capabilities.](https://thanos.io/)
* [Deep Learning Design Patterns - Jr Data Scientist - Part 3 - Alternative Connectivity Patterns](https://www.youtube.com/watch?v=JI-MButCqUE)
###
Business
* [5 Ways to Make More Money as a Coach or Consultant](https://www.entrepreneur.com/article/283006)
* [https://www.youtube.com/watch?v=njx09wXb9o0&list=PLnhdsL4kFmVYMNq6F8k8UiFkc6fwIdk3o&index=5](https://www.youtube.com/watch?v=njx09wXb9o0&list=PLnhdsL4kFmVYMNq6F8k8UiFkc6fwIdk3o&index=5)
###
Tools
* Free convert video for mac opensource
* [https://github.com/HandBrake/HandBrake](https://github.com/HandBrake/HandBrake)
* [https://handbrake.fr/rotation.php?file=HandBrake-1.3.3.dmg](https://handbrake.fr/rotation.php?file=HandBrake-1.3.3.dmg)
* [global-gitignore.md](https://gist.github.com/subfuzion/db7f57fff2fb6998a16c)
* [https://nextbillion.ai/](https://nextbillion.ai/) Mapping platform built for enterprises
* [https://github.com/ondras/my-mind](https://github.com/ondras/my-mind) MindMap
* [Create and share beautiful images of your source code.](https://carbon.now.sh/)
* [Web IDE](https://replit.com/templates)
* [https://github.com/jely2002/youtube-dl-gui/releases/tag/v2.2.2](https://github.com/jely2002/youtube-dl-gui/releases/tag/v2.2.2)
###
Patents
[https://patents.google.com/?inventor=pirahansiah&oq=pirahansiah](https://patents.google.com/?inventor=pirahansiah&oq=pirahansiah)
1. System and method for providing advertisement contents based on facial analysis (WO2020141969A2)
2. A method for augmenting a plurality of face images (WO2021060971A1)
3. A method for detecting a moving vehicle (WO2021107761A1)
1. System and method for providing advertisement contents based on facial analysis (WO2020141969A2)
The present invention relates to a system (100) for providing advertisement
contents based on facial analysis comprising an image acquisition device (10)
to acquire an image of a user, a face detection module (20) to detect face of
the user in the image, an analysis module (40) to analyse the facial features
statistically using classification models retrieved from a classification
module (30), a database (60) to store matching rules, weighted advertisements
and a plurality of advertisement contents; and a display device (80) to
display the advertisement contents. The system (100) further comprises a
computation module (50) to compute weighted image of the user and a matching
module (70) to match the weighted image of the user with the weighted
advertisement to select an advertisement content based on facial analysis of
the user. A method of providing the advertisement contents based on facial
analysis is also provided thereof.
[https://patentimages.storage.googleapis.com/ff/3f/a5/e7b42ef58d8a03/WO2020141969A2.pdf](https://patentimages.storage.googleapis.com/ff/3f/a5/e7b42ef58d8a03/WO2020141969A2.pdf)
2. A method for augmenting a plurality of face images (WO2021060971A1)
The present invention relates to a method for increasing data for face
analysis in video surveillance. The method comprises the steps of acquiring at
least one face image from an image acquisition module (102), acquiring a
plurality of face images available on the internet using a data input module
(104), increasing face images by at least one data augmentation module (106
and 107), generating a plurality of face images based on a trained Generative
Adversarial Network, GAN technique by using a GAN module, selecting proper
images based on quality of the face images using a fuzzy logic module (111),
saving the selected images into a fifth database, and training the deep
learning module (113).
[https://patentimages.storage.googleapis.com/b8/d9/7f/ea8a5b789e1dad/WO2021060971A1.pdf](https://patentimages.storage.googleapis.com/b8/d9/7f/ea8a5b789e1dad/WO2021060971A1.pdf)
3. A method for detecting a moving vehicle (WO2021107761A1)
The present invention relates to a method for detecting a moving vehicle. The
method comprises the steps of grabbing an initial image from a video stream by
a vehicle detection module (1100), wherein the vehicle detection module (1100)
is a part of a system (1000) to identify moving vehicle, enhancing the
illumination of the initial image by the vehicle detection module (1100),
enhancing the edges within the initial image by the vehicle detection module
(1100), and finding vehicle based on homogenous properties of the body of the
vehicle by the vehicle detection module (1100). The step of finding vehicle
based on homogenous property of the body of the vehicle by the vehicle
detection module (1100) further comprising the sub-steps of closing open
edges, inverting the binary image, segmenting an inverted binary image,
filtering the noise based on geometric feature, and filtering the noise based
on relation.
[https://patentimages.storage.googleapis.com/16/41/83/2576e20c4a0af5/WO2021107761A1.pdf](https://patentimages.storage.googleapis.com/16/41/83/2576e20c4a0af5/WO2021107761A1.pdf)
###
Books
1. [book chapter titled “Camera Calibration and Video Stabilization Framework for Robot Localization” in the Book entitled “Control Engineering in Robotics and Industrial Automation" which will be published (24/07/2021) in Springer. ](https://www.waterstones.com/book/control-engineering-in-robotics-and-industrial-automation/muralindran-mariappan/mohd-rizal-arshad/9783030745394)
2. [book chapter titled “Augmented Optical Flow Methods for Video Stabilization", In Computational Intelligence: from theory to application. (2017) (p18). ](http://www.ukm.my/penerbit/penerbitan-2017/)
###
Journal Papers
* Using An Ant Colony Optimization Algorithm For Image Edge Detection As A Threshold Segmentation For OCR System Journal of Theoretical & Applied Information Technology, 95(21)
* * [http://www.jatit.org/volumes/Vol95No21/1Vol95No21.pdf](http://www.jatit.org/volumes/Vol95No21/1Vol95No21.pdf)
* GSFT-PSNR: Global Single Fuzzy Threshold Based on PSNR for OCR Systems, International Journal of Computer Science and Network Solutions 4(6)
* * [https://www.ijcsns.com/June.2016-Volume.4-No.6/Article01.pdf](https://www.ijcsns.com/June.2016-Volume.4-No.6/Article01.pdf)
* Adaptive Image Thresholding based On the Peak Signal-To-Noise Ratio, Research Journal of Applied Sciences, Engineering and Technology 8(9).
* * [http://www.academia.edu/download/44161592/Adaptive_Image_Thresholding_Based_on_the20160328-31366-1wyb1jc.pdf](http://www.academia.edu/download/44161592/Adaptive_Image_Thresholding_Based_on_the20160328-31366-1wyb1jc.pdf)
* Simultaneous Localization and Mapping Trends and Humanoid Robot Linkages, Asia-Pacific Journal of Information Technology and Multimedia (APJITM)
* * [http://journalarticle.ukm.my/6644/1/4429-10302-1-SM.pdf](http://journalarticle.ukm.my/6644/1/4429-10302-1-SM.pdf)
* Peak Signal-To-Noise Ratio Based On Threshold Method for Image Segmentation, Journal of Theoretical & Applied Information Technology, 57(2)
* * [http://www.jatit.org/volumes/Vol57No2/4Vol57No2.pdf](http://www.jatit.org/volumes/Vol57No2/4Vol57No2.pdf)
* Character recognition based on global feature extraction; Journal of Theoretical and Applied Information Technology 52
* * [http://www.jatit.org/volumes/Vol52No2/6Vol52No2.pdf](http://www.jatit.org/volumes/Vol52No2/6Vol52No2.pdf)
###
Conference Papers
* Pattern Image Significance for Camera Calibration, IEEE Student Conference on Research and Development (SCOReD 2017)
* [http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8305440&isnumber=8305342](http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8305440&isnumber=8305342)
* Augmented optical flow methods for video stabilization. 4th Artificial Intelligence Technology Postgraduate Seminar (CAITPS 2015)
* [http://www.academia.edu/download/45596617/farshid.pdf](http://www.academia.edu/download/45596617/farshid.pdf)
* Auto-Calibration for Multi-Modal Robot Vision based on Image Quality Assessment, The 10th Asian Control Conference (ASCC 2015)
* [https://doi.org/10.1109/ASCC.2015.7360336](https://doi.org/10.1109/ASCC.2015.7360336)
* 2D versus 3D Map for Environment Movement Objects, Second National Doctoral Seminar in Artificial Intelligence Technology (CAIT 2012)
* [http://www.ftsm.ukm.my/cait2012/images/Program%20Schedule%20CAIT2012.pdf](http://www.ftsm.ukm.my/cait2012/images/Program%20Schedule%20CAIT2012.pdf)
* Comparison Single Thresholding Method for Image Segmentation on Handwritten Images, International Conference on Pattern Analysis and Intelligent Robotics
* [https://doi.org/10.1109/ICPAIR.2011.5976918](https://doi.org/10.1109/ICPAIR.2011.5976918)
* License Plate Recognition with Multi-Threshold Based on Entropy, 3rd International Conference on Electrical Engineering and Informatics (ICEEI 2011)
* [https://doi.org/10.1109/ICEEI.2011.6021627](https://doi.org/10.1109/ICEEI.2011.6021627)
* Character recognition based on global feature extraction, 3rd International Conference On Electrical Engineering and Informatics (ICEEI 2011)
* [https://pdfs.semanticscholar.org/2d22/66bfb2f5ba5cb40b5946b82c620dc713d793.pdf](https://pdfs.semanticscholar.org/2d22/66bfb2f5ba5cb40b5946b82c620dc713d793.pdf)
* [https://doi.org/10.1109/ICEEI.2011.6021649](https://doi.org/10.1109/ICEEI.2011.6021649)
* Tafresh Grid: Grid computing in Tafresh university," 2011 IEEE 3rd International Conference on Communication Software and Networks, Xi'an, 2011, pp. 83-85.
* [http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6014009&isnumber=6013532](http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6014009&isnumber=6013532)
* Adaptive image segmentation based on Peak Signal to Noise Ratio for a license plate Recognition system, International Conference on Computer Applications and Industrial Electronics (ICCAIE 2010)
* [https://doi.org/10.1109/ICCAIE.2010.5735125](https://doi.org/10.1109/ICCAIE.2010.5735125)
* [http://www.academia.edu/download/44161592/Adaptive_Image_Thresholding_Based_on_the20160328-31366-1wyb1jc.pdf](http://www.academia.edu/download/44161592/Adaptive_Image_Thresholding_Based_on_the20160328-31366-1wyb1jc.pdf)
* Multi-threshold approach for license plate recognition system, International Conference on Signal and Image Processing WASET ICSIP 2010:1046-1050
* [http://waset.org/publications/3636](http://waset.org/publications/3636)
* An evaluation of classification techniques using enhanced Geometrical Topological Feature Analysis, 2nd Malaysian Joint Conference on Artificial Intelligence (MJCAI 2010)
* [https://scholar.google.com/scholar?oi=bibs&cluster=3038184255311332521&btnI=1&hl=en](https://scholar.google.com/scholar?oi=bibs&cluster=3038184255311332521&btnI=1&hl=en)
###
Articles on LinkedIn
* [ADRL: Advanced Deep Reinforcement Learning {Patents and papers; Main point summary on recently published research on DRL} (draft version Feb 2019) ]([https://www.linkedin.com/pulse/patents-papers-adrl-advanced-deep-reinforcement-feb-pirahansiah-phd/](https://www.linkedin.com/pulse/patents-papers-adrl-advanced-deep-reinforcement-feb-pirahansiah-phd/))
* [The most important research papers for deep learning (updated December, 2017)]([https://www.linkedin.com/pulse/most-important-research-papers-deep-learning-updated-2017-farshid/](https://www.linkedin.com/pulse/most-important-research-papers-deep-learning-updated-2017-farshid/) )
* [List of useful links (Videos, Slides, Articles) for Deep Learning ]([https://www.linkedin.com/pulse/list-useful-links-videos-slides-articles-deep-farshid-pirahansiah/](https://www.linkedin.com/pulse/list-useful-links-videos-slides-articles-deep-farshid-pirahansiah/))
* [Autonomous driving vehicles (Computer Vision, Deep Learning)]([https://www.linkedin.com/pulse/autonomous-driving-vehicles-computer-vision-deep-farshid-pirahansiah-1/](https://www.linkedin.com/pulse/autonomous-driving-vehicles-computer-vision-deep-farshid-pirahansiah-1/)
* [Thresholding]([https://www.linkedin.com/pulse/thresholding-farshid-pirahansiah/](https://www.linkedin.com/pulse/thresholding-farshid-pirahansiah/)
###
Slides slideshare
* Deep Learning for Computer Vision in Ubuntu 19; Part 1 installation [Link]([https://www.slideshare.net/pirahansiah/deep-learning-for-computer-vision-in-ubuntu-19-part-1-installation](https://www.slideshare.net/pirahansiah/deep-learning-for-computer-vision-in-ubuntu-19-part-1-installation)
* Using Deep Learning for Computer Vision Applications [Link]([https://www.slideshare.net/pirahansiah/using-deep-learning-for-computer-vision-applications](https://www.slideshare.net/pirahansiah/using-deep-learning-for-computer-vision-applications) )
* tensorflow1.3 digits6.0 Caffe [Link]([https://www.slideshare.net/pirahansiah/farshid-tensorflow13-digits60caffe](https://www.slideshare.net/pirahansiah/farshid-tensorflow13-digits60caffe) )
* Install TensorFlow 1.2 on macOS Sierra on MacBook (June 2017) [Link]([https://www.slideshare.net/pirahansiah/install-tensorflow-12-on-macos-sierra-on-macbook-june-2017](https://www.slideshare.net/pirahansiah/install-tensorflow-12-on-macos-sierra-on-macbook-june-2017) )
* Best Deep Learning Post from LinkedIn Group [Link]([https://www.slideshare.net/pirahansiah/best-deep-learning-post-from-linkedin-group](https://www.slideshare.net/pirahansiah/best-deep-learning-post-from-linkedin-group) )
* Install, Compile, Setup, Setting OpenCV 3.2, Visual C++ 2015, Win 64bit [Link]([https://www.slideshare.net/pirahansiah/install-compile-setup-setting-opencv-32-visual-c-2015-win-64bit](https://www.slideshare.net/pirahansiah/install-compile-setup-setting-opencv-32-visual-c-2015-win-64bit) )
* Layers in Deep Learning&Caffe layers (model architecture ) [Link]([https://www.slideshare.net/pirahansiah/layers-in-deep-learningcaffe-layers-model-architecture](https://www.slideshare.net/pirahansiah/layers-in-deep-learningcaffe-layers-model-architecture) )
* How to install Digits 5.1 on Ubuntu 14 [Link]([https://www.slideshare.net/pirahansiah/how-to-install-digits-51-on-ubuntu-14](https://www.slideshare.net/pirahansiah/how-to-install-digits-51-on-ubuntu-14) )
* Deep Learning for Video Analysis – part 1 (DeepStream SDK) [NVIDIA TensorRT || NVIDIA GPU Inference Engine (GIE)] [Link]([https://www.slideshare.net/pirahansiah/deep-learning-for-video-analysis-part-1-deepstream-sdk-nvidia-tensorrt-nvidia-gpu-inference-engine-gie](https://www.slideshare.net/pirahansiah/deep-learning-for-video-analysis-part-1-deepstream-sdk-nvidia-tensorrt-nvidia-gpu-inference-engine-gie) )
* Computer Vision, Deep Learning, OpenCV [Link]([https://www.slideshare.net/pirahansiah/computer-vision-deep-learning-opencv](https://www.slideshare.net/pirahansiah/computer-vision-deep-learning-opencv) )
###
Online Courses
* [Writing with Impact ](https://www.linkedin.com/learning/writing-with-impact)
* [Balancing Work and Life ](https://www.linkedin.com/learning/balancing-work-and-life)
* [Finance Foundations: Income Taxes ](https://www.linkedin.com/learning/finance-foundations-income-taxes-2)
* [Starting a Business with Family and Friends ](https://www.linkedin.com/learning/starting-a-business-with-family-and-friends)
* [Finance Essentials for Small Business ](https://www.linkedin.com/learning/finance-essentials-for-small-business)
* [Setting Up Your Small Business as a Legal Entity ](https://www.linkedin.com/learning/setting-up-your-small-business-as-a-legal-entity)
* [Creating a Business Plan ](https://www.linkedin.com/learning/creating-a-business-plan-2)
* [Understanding Business ](https://www.linkedin.com/learning/understanding-business)
* [Entrepreneurship: Finding and Testing Your Business Idea ](https://www.linkedin.com/learning/entrepreneurship-finding-and-testing-your-business-idea)
* [Guy Kawasaki on Entrepreneurship ](https://www.linkedin.com/learning/guy-kawasaki-on-entrepreneurship)
* [Financial Modeling Foundations ](https://www.linkedin.com/learning/financial-modeling-foundations)
* [Financial Accounting Foundations ](https://www.linkedin.com/learning/financial-accounting-foundations)
* [Strategic Planning Foundations ](https://www.linkedin.com/learning/strategic-planning-foundations)
* [5 Personal Finance Tips ](https://www.linkedin.com/learning/5-personal-finance-tips)
* [Investment Evaluation ](https://www.linkedin.com/learning/investment-evaluation)
* [Managing Your Personal Investments ](https://www.linkedin.com/learning/managing-your-personal-investments)
* [Financial Wellness: Managing Personal Cash Flow ](https://www.linkedin.com/learning/financial-wellness-managing-personal-cash-flow)
* [Financial Wellness for Couples and Families ](https://www.linkedin.com/learning/financial-wellness-for-couples-and-families)
* [Managing Your Personal Finances ](https://www.linkedin.com/learning/managing-your-personal-finances)
* [Finance Foundations ](https://www.linkedin.com/learning/finance-foundations-2)
* [Entrepreneurship Foundations ](https://www.linkedin.com/learning/entrepreneurship-foundations-2)
* [Introduction to Deep Learning with OpenCV ](https://www.linkedin.com/learning/introduction-to-deep-learning-with-opencv)
* [OpenCV for Python Developers ](https://www.linkedin.com/learning/opencv-for-python-developers)
* [Brad Feld on Validating Your Startup Idea ](https://www.linkedin.com/learning/brad-feld-on-validating-your-startup-idea)
* [Brad Feld on Raising Capital ](https://www.linkedin.com/learning/brad-feld-on-raising-capital)
* [Take a More Creative Approach to Problem-Solving ](https://www.linkedin.com/learning/take-a-more-creative-approach-to-problem-solving)
* [Professional Networking ](https://www.linkedin.com/learning/professional-networking)
* [Building Relationships While Working from Home ](https://www.linkedin.com/learning/building-relationships-while-working-from-home)
* [Entrepreneurship: Raising Startup Capital ](https://www.linkedin.com/learning/entrepreneurship-raising-startup-capital)
* [Business Analysis Foundations: Business Process Modeling ](https://www.linkedin.com/learning/business-analysis-foundations-business-process-modeling)
* [Communicating with Confidence ](https://www.linkedin.com/learning/communicating-with-confidence)
* [Machine Learning for iOS Developers ](https://www.linkedin.com/learning/machine-learning-for-ios-developers)
###
Learning path
* [Stay Ahead in Personal Finance ](https://www.linkedin.com/learning/paths/stay-ahead-in-personal-finance)
* [Become a Small Business Owner ](https://www.linkedin.com/learning/paths/become-a-small-business-owner)
#
Completed
###
Reference
[https://drive.google.com/file/d/1xd5TZlEZnUUieXzw3Lxn3Sv7MwIajU_W/view?usp=sharing](https://drive.google.com/file/d/1xd5TZlEZnUUieXzw3Lxn3Sv7MwIajU_W/view?usp=sharing)
###
Link of best Groups
* [LinkedIn: Computer Vision, Deep Learning, Deep Reinforcement Learning, GANs, OpenCV, Caffe, TensorFlow,PyTorch](https://www.linkedin.com/groups/10320678/)
* [Source code](https://gitlab.com/pirahansiah)
* [Facebook : Deep Learning, Computer Vision, Robotics ](https://web.facebook.com/groups/185926728115336/)
* [The link to one-note notebook ](https://1drv.ms/u/s!AhG15hrdT9JOgR5GZgPjve65F-e5)
* [GitHub](https://github.com/pirahansiah)
###
Books
* [The Art of Startup Fundraising](https://www.amazon.de/-/en/Alejandro-Cremades-ebook/dp/B01DQ3GY3Y)
* [Mathematics for Machine Learning](https://mml-book.github.io/)
* Principles of Economics (6th edition)
* The E-Myth Revisited Why Most Small Businesses Don't Work and What to Do About It
* Clean Code: A Handbook of Agile Software Craftsmanship (Robert C. Martin)
* Reinventing Your Life: The Breakthough Program to End Negative Behavior
* Ways Of Thinking: The Limits Of Rational Thought And Artificial Intelligence
* [https://images.kw.com/docs/2/1/2/212345/1285134779158_htwfaip.pdf](https://images.kw.com/docs/2/1/2/212345/1285134779158_htwfaip.pdf)
* * [Computer Vision: Algorithms and Applications](http://szeliski.org/Book/)
* [Multiple View Geometry in Computer Vision Second Edition](https://www.robots.ox.ac.uk/~vgg/hzbook/)
* [Complete to download the latest draft of Machine Learning Yearning](https://www.deeplearning.ai/machine-learning-yearning/)
* Multiple view geometry in computer vision
* Learning OpenCV Book by Adrian Kaehler and Gary Bradski
* Digital Image Processing, Global Edition by Rafael C. Gonzalez
* Introduction to Algorithms, 3rd Edition (The MIT Press)
* The Mythical Man-Month: Essays on Software Engineering
* [OpenCV-4-with-Python-Blueprints-Second-Edition](https://github.com/PacktPublishing/OpenCV-4-with-Python-Blueprints-Second-Edition)
###
Videos
* [https://www.youtube.com/computervisiondeeplearning](https://www.youtube.com/computervisiondeeplearning)
* [Two Minute Papers](https://www.youtube.com/c/K%C3%A1rolyZsolnai/videos)
* [Conference on Pattern Recognition](https://www.gcpr-vmv-vcbm-2020.uni-tuebingen.de/)
* [https://researchseminars.org/?fbclid=IwAR0Ly9WLONBMBteYI7IhlRaMYR_rQR6YrpdxLG_sUxPxGYKQhB0SOTmcjgY](https://researchseminars.org/?fbclid=IwAR0Ly9WLONBMBteYI7IhlRaMYR_rQR6YrpdxLG_sUxPxGYKQhB0SOTmcjgY)
###
Papers
* CALTag: High Precision Fiducial Markers for Camera
* Diatom Autofocusing in Brightfield Microscopy: a Comparative Study
* Analysis of focus measure operators in shape-from-focus
* Optical flow modeling and computation: A survey
* Toward general type 2 fuzzy logic systems based on zSlices
###
Site
* [Research Tools By: Nader Ale Ebrahim](https://www.mindmeister.com/39583892/research-tools-by-nader-ale-ebrahim?t=HMmnzlA4zN) ([MindMap](https://www.mindmeister.com/39583892/research-tools-by-nader-ale-ebrahim?fullscreen=1#))
Reference-
ComputerVisionDeepLearning.pdf
* [https://virgool.io/@r_alimorady/easy-install-cuda-document-hhk6nuylvl1w](https://virgool.io/@r_alimorady/easy-install-cuda-document-hhk6nuylvl1w)
* [https://techcommunity.microsoft.com/t5/azure-ai/introducing-multivariate-anomaly-detection/ba-p/2260679](https://techcommunity.microsoft.com/t5/azure-ai/introducing-multivariate-anomaly-detection/ba-p/2260679)
* [https://www.freertos.org/index.html](https://www.freertos.org/index.html)
* [https://en.wikipedia.org/wiki/Knowledge_distillation](https://en.wikipedia.org/wiki/Knowledge_distillation)
* [https://80000hours.org/2015/10/startup-salaries-and-equity-compensation/](https://80000hours.org/2015/10/startup-salaries-and-equity-compensation/)
* [https://www.thecvf.com/?page_id=413](https://www.thecvf.com/?page_id=413)
* [https://levelup.gitconnected.com/s-o-l-i-d-principles-explained-in-python-with-examples-83b2b43bdcde?gi=a1fee170c917](https://levelup.gitconnected.com/s-o-l-i-d-principles-explained-in-python-with-examples-83b2b43bdcde?gi=a1fee170c917)
* [https://arxiv.org/pdf/2104.13921.pdf](https://arxiv.org/pdf/2104.13921.pdf)
* [https://blog.paperspace.com/object-detection-directed-mask-r-cnn-keras/](https://blog.paperspace.com/object-detection-directed-mask-r-cnn-keras/)
* [https://pub.towardsai.net/will-transformers-replace-cnns-in-computer-vision-55657a196833](https://pub.towardsai.net/will-transformers-replace-cnns-in-computer-vision-55657a196833)
* [https://medium.com/@daviddelaiglesiacastro/3d-point-cloud-generation-from-3d-triangular-mesh-bbb602ecf238](https://medium.com/@daviddelaiglesiacastro/3d-point-cloud-generation-from-3d-triangular-mesh-bbb602ecf238)
*
[https://koinly.io/](https://koinly.io/)
site map: octopus.do
[https://www.startupgermany.nrw/startup-
contest/](https://www.startupgermany.nrw/startup-contest/)
[https://www.kickstarter.com/projects/opencv/opencv-ai-kit-oak-depth-
camera-4k-cv-edge-object-
detection/description](https://www.kickstarter.com/projects/opencv/opencv-ai-
kit-oak-depth-camera-4k-cv-edge-object-detection/description)
[HOW I GAINED 68,000 SUBSCRIBERS IN A YEAR! | My Strategy to Grow on YouTube
in 2021! - YouTube
](https://www.youtube.com/watch?v=bwd1dQr33K8&list=PLxC08P2Oexy2EJKezV02N9cp3-qOEh79Z)
[https://www.youtube.com/watch?v=bwd1dQr33K8&list=PLxC08P2Oexy2EJKezV02N9cp3-qOEh79Z](https://www.youtube.com/watch?v=bwd1dQr33K8&list=PLxC08P2Oexy2EJKezV02N9cp3-qOEh79Z)
[https://www.youtube.com/watch?v=cFdApmqlllg](https://www.youtube.com/watch?v=cFdApmqlllg)
[محمد رضا شجریان، آلبوم کامل در خیال -
YouTube](https://www.youtube.com/watch?v=cFdApmqlllg)
[دوره جامع گوگل آنالیتیکس(UA) |
آنالیتیپس](https://analytips.io/product/google-analyticsua/)
[رادیوگیک - شماره ۱۲۱ - ما این لارادیوگیک - شماره ۱۲۱ - ما این لا -
YouTube](https://www.youtube.com/watch?v=dzBLhio-DIc)
[Social Selling Index | Sales
Navigator](https://www.linkedin.com/sales/ssi?src=or-
search&veh=www.google.com)
[https://rschu.me/list-a-directory-with-tree-command-on-mac-
os-x-3b2d4c4a4827](https://rschu.me/list-a-directory-with-tree-command-on-mac-
os-x-3b2d4c4a4827)
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# Links
pirahansiah, Personal, Roadmap, Books, Online Courses
[](https://drive.google.com/open?id=1ELXvmqcSciCK8-TUVsyVRnYTuxnKta-_xze-
oXQexwY "Open Spreadsheet, Links in new window")
Links
Links from my research and interest
AI in RISC-V
Mixed reality
Old Links
Reference
Link Groups
Top website
Python
Computer Vision
Documents
Business
Tools
Patents
Books
Journal Papers
Conference Papers
Articles on LinkedIn
Slides slideshare
Online Courses
Learning path
Completed
Reference
Link of best Groups
Books
Videos
Papers
Site
Efficient Video Dataset Loading and Augmentation in PyTorch for deep learning
training loops.
GitHub[ https://lnkd.in/gpR8idsp](https://lnkd.in/gpR8idsp)
[https://remmina.org/how-to-install-remmina/](https://remmina.org/how-to-
install-remmina/)
[https://readme.so/](https://readme.so/)
#
Links from my research and interest
[Build Better Generative Adversarial Networks (GANs) - Andrew Ng -
2021](https://www.youtube.com/playlist?list=PLuv1FSpHurUfl44GWqaCzEhGP-aP_-
VnF)
[https://www.oreilly.com/library/view/flow-
architectures/9781492075882/](https://www.oreilly.com/library/view/flow-
architectures/9781492075882/)
##
AI in RISC-V
* [RISC-V hardware & software ecosystem highlights in 2020](https://www.cnx-software.com/2020/12/10/risc-v-hardware-software-ecosystem-highlights-in-2020)
##
Mixed reality
* [https://github.com/MIT-SPARK/Kimera](https://github.com/MIT-SPARK/Kimera)
* Kimera is a C++ library for real-time metric-semantic simultaneous localization and mapping, which uses camera images and inertial data to build a semantically annotated 3D mesh of the environment. Kimera is modular, ROS-enabled, and runs on a CPU.
#
Old Links
###
Reference
[https://drive.google.com/file/d/1xd5TZlEZnUUieXzw3Lxn3Sv7MwIajU_W/view?usp=sharing](https://drive.google.com/file/d/1xd5TZlEZnUUieXzw3Lxn3Sv7MwIajU_W/view?usp=sharing)
###
Link Groups
* [LinkedIn: Computer Vision, Deep Learning, Deep Reinforcement Learning, GANs, OpenCV, Caffe, TensorFlow,PyTorch](https://www.linkedin.com/groups/10320678/)
* [Source code](https://gitlab.com/pirahansiah)
* [Facebook : Deep Learning, Computer Vision, Robotics ](https://web.facebook.com/groups/185926728115336/)
* [The link to one-note notebook ](https://1drv.ms/u/s!AhG15hrdT9JOgR5GZgPjve65F-e5)
* [GitHub](https://github.com/pirahansiah)
###
Top website
* [https://paperswithcode.com/](https://paperswithcode.com/)
* [https://www.learnthepart.com/](https://www.learnthepart.com/)
* [https://hackaday.com/](https://hackaday.com/)
* [https://medium.com/@pirahansiah/timesaver-626019137fa9?sk=cde3334919d6c16ba0964fe021a24762](https://medium.com/@pirahansiah/timesaver-626019137fa9?sk=cde3334919d6c16ba0964fe021a24762)
* hbrew install youtube-dl
* [https://www.masterclass.com/](https://www.masterclass.com/)
* [Deep Learning for coders (2020)](https://www.youtube.com/user/howardjeremyp)
* [Deep Learning for Video](https://mcv-m6-video.github.io/deepvideo-2019/) (Master in Computer Vision Barcelona)
* [Augmented Reality using ArUco Markers in OpenCV (C++ / Python)](https://www.learnopencv.com/augmented-reality-using-aruco-markers-in-opencv-c-python/)
* [https://explainshell.com/](https://explainshell.com/)
* [https://stackoverflow.blog/2020/02/12/when-laziness-is-efficient-make-the-most-of-your-command-line/](https://stackoverflow.blog/2020/02/12/when-laziness-is-efficient-make-the-most-of-your-command-line/?utm_source=Iterable&utm_medium=email&utm_campaign=the_overflow_newsletter&utm_content=02-19-20)
* [https://link.medium.com/XA49Ke0Jt4](https://link.medium.com/XA49Ke0Jt4)
* [https://link.medium.com/Np0YEy1Jt4](https://link.medium.com/Np0YEy1Jt4)
###
Python
* [How to Write Beautiful Python Code With PEP 8](https://realpython.com/python-pep8/)
* [PEP 622 -- Structural Pattern Matching](https://www.python.org/dev/peps/pep-0622/)
* [Monitor Your Dependencies! Stop Being A Blind Data-Scientist.](https://towardsdatascience.com/monitor-your-dependencies-stop-being-a-blind-data-scientist-a3150bd64594)
###
Computer Vision
* [Hybrid CV/DL pipelines with OpenCV 4.4 G-API](https://opencv.org/hybrid-cv-dl-pipelines-with-opencv-4-4-g-api/)
* [PaddleDetection is an end-to-end object detection development kit based on PaddlePaddle, which aims to help developers in the whole development of training models, optimizing performance and inference speed, and deploying models. ](https://github.com/PaddlePaddle/PaddleDetection/blob/release/0.4/README_en.md)
* [https://github.com/google/mediapipe](https://github.com/google/mediapipe)
###
Documents
* [https://book.keybase.io/docs](https://book.keybase.io/docs)
* [kind is a tool for running local Kubernetes clusters using Docker container "nodes".](https://github.com/kubernetes-sigs/kind)
* [FINN is an experimental framework from Xilinx Research Labs to explore deep neural network inference on FPGAs. ](https://xilinx.github.io/finn/)
* [Gitter is a chat and networking platform that helps to manage, grow and connect communities through messaging, content and discovery.](https://gitter.im/)
* [Fair and useful benchmarks for measuring training and inference performance of ML hardware, software, and services.](https://mlperf.org/)
* [https://kepler.gl/demo](https://kepler.gl/demo)
* [Open source, highly available Prometheus setup with long term storage capabilities.](https://thanos.io/)
* [Deep Learning Design Patterns - Jr Data Scientist - Part 3 - Alternative Connectivity Patterns](https://www.youtube.com/watch?v=JI-MButCqUE)
###
Business
* [5 Ways to Make More Money as a Coach or Consultant](https://www.entrepreneur.com/article/283006)
* [https://www.youtube.com/watch?v=njx09wXb9o0&list=PLnhdsL4kFmVYMNq6F8k8UiFkc6fwIdk3o&index=5](https://www.youtube.com/watch?v=njx09wXb9o0&list=PLnhdsL4kFmVYMNq6F8k8UiFkc6fwIdk3o&index=5)
###
Tools
* Free convert video for mac opensource
* [https://github.com/HandBrake/HandBrake](https://github.com/HandBrake/HandBrake)
* [https://handbrake.fr/rotation.php?file=HandBrake-1.3.3.dmg](https://handbrake.fr/rotation.php?file=HandBrake-1.3.3.dmg)
* [global-gitignore.md](https://gist.github.com/subfuzion/db7f57fff2fb6998a16c)
* [https://nextbillion.ai/](https://nextbillion.ai/) Mapping platform built for enterprises
* [https://github.com/ondras/my-mind](https://github.com/ondras/my-mind) MindMap
* [Create and share beautiful images of your source code.](https://carbon.now.sh/)
* [Web IDE](https://replit.com/templates)
* [https://github.com/jely2002/youtube-dl-gui/releases/tag/v2.2.2](https://github.com/jely2002/youtube-dl-gui/releases/tag/v2.2.2)
###
Patents
[https://patents.google.com/?inventor=pirahansiah&oq=pirahansiah](https://patents.google.com/?inventor=pirahansiah&oq=pirahansiah)
1. System and method for providing advertisement contents based on facial analysis (WO2020141969A2)
2. A method for augmenting a plurality of face images (WO2021060971A1)
3. A method for detecting a moving vehicle (WO2021107761A1)
1. System and method for providing advertisement contents based on facial analysis (WO2020141969A2)
The present invention relates to a system (100) for providing advertisement
contents based on facial analysis comprising an image acquisition device (10)
to acquire an image of a user, a face detection module (20) to detect face of
the user in the image, an analysis module (40) to analyse the facial features
statistically using classification models retrieved from a classification
module (30), a database (60) to store matching rules, weighted advertisements
and a plurality of advertisement contents; and a display device (80) to
display the advertisement contents. The system (100) further comprises a
computation module (50) to compute weighted image of the user and a matching
module (70) to match the weighted image of the user with the weighted
advertisement to select an advertisement content based on facial analysis of
the user. A method of providing the advertisement contents based on facial
analysis is also provided thereof.
[https://patentimages.storage.googleapis.com/ff/3f/a5/e7b42ef58d8a03/WO2020141969A2.pdf](https://patentimages.storage.googleapis.com/ff/3f/a5/e7b42ef58d8a03/WO2020141969A2.pdf)
2. A method for augmenting a plurality of face images (WO2021060971A1)
The present invention relates to a method for increasing data for face
analysis in video surveillance. The method comprises the steps of acquiring at
least one face image from an image acquisition module (102), acquiring a
plurality of face images available on the internet using a data input module
(104), increasing face images by at least one data augmentation module (106
and 107), generating a plurality of face images based on a trained Generative
Adversarial Network, GAN technique by using a GAN module, selecting proper
images based on quality of the face images using a fuzzy logic module (111),
saving the selected images into a fifth database, and training the deep
learning module (113).
[https://patentimages.storage.googleapis.com/b8/d9/7f/ea8a5b789e1dad/WO2021060971A1.pdf](https://patentimages.storage.googleapis.com/b8/d9/7f/ea8a5b789e1dad/WO2021060971A1.pdf)
3. A method for detecting a moving vehicle (WO2021107761A1)
The present invention relates to a method for detecting a moving vehicle. The
method comprises the steps of grabbing an initial image from a video stream by
a vehicle detection module (1100), wherein the vehicle detection module (1100)
is a part of a system (1000) to identify moving vehicle, enhancing the
illumination of the initial image by the vehicle detection module (1100),
enhancing the edges within the initial image by the vehicle detection module
(1100), and finding vehicle based on homogenous properties of the body of the
vehicle by the vehicle detection module (1100). The step of finding vehicle
based on homogenous property of the body of the vehicle by the vehicle
detection module (1100) further comprising the sub-steps of closing open
edges, inverting the binary image, segmenting an inverted binary image,
filtering the noise based on geometric feature, and filtering the noise based
on relation.
[https://patentimages.storage.googleapis.com/16/41/83/2576e20c4a0af5/WO2021107761A1.pdf](https://patentimages.storage.googleapis.com/16/41/83/2576e20c4a0af5/WO2021107761A1.pdf)
###
Books
1. [book chapter titled “Camera Calibration and Video Stabilization Framework for Robot Localization” in the Book entitled “Control Engineering in Robotics and Industrial Automation" which will be published (24/07/2021) in Springer. ](https://www.waterstones.com/book/control-engineering-in-robotics-and-industrial-automation/muralindran-mariappan/mohd-rizal-arshad/9783030745394)
2. [book chapter titled “Augmented Optical Flow Methods for Video Stabilization", In Computational Intelligence: from theory to application. (2017) (p18). ](http://www.ukm.my/penerbit/penerbitan-2017/)
###
Journal Papers
* Using An Ant Colony Optimization Algorithm For Image Edge Detection As A Threshold Segmentation For OCR System Journal of Theoretical & Applied Information Technology, 95(21)
* * [http://www.jatit.org/volumes/Vol95No21/1Vol95No21.pdf](http://www.jatit.org/volumes/Vol95No21/1Vol95No21.pdf)
* GSFT-PSNR: Global Single Fuzzy Threshold Based on PSNR for OCR Systems, International Journal of Computer Science and Network Solutions 4(6)
* * [https://www.ijcsns.com/June.2016-Volume.4-No.6/Article01.pdf](https://www.ijcsns.com/June.2016-Volume.4-No.6/Article01.pdf)
* Adaptive Image Thresholding based On the Peak Signal-To-Noise Ratio, Research Journal of Applied Sciences, Engineering and Technology 8(9).
* * [http://www.academia.edu/download/44161592/Adaptive_Image_Thresholding_Based_on_the20160328-31366-1wyb1jc.pdf](http://www.academia.edu/download/44161592/Adaptive_Image_Thresholding_Based_on_the20160328-31366-1wyb1jc.pdf)
* Simultaneous Localization and Mapping Trends and Humanoid Robot Linkages, Asia-Pacific Journal of Information Technology and Multimedia (APJITM)
* * [http://journalarticle.ukm.my/6644/1/4429-10302-1-SM.pdf](http://journalarticle.ukm.my/6644/1/4429-10302-1-SM.pdf)
* Peak Signal-To-Noise Ratio Based On Threshold Method for Image Segmentation, Journal of Theoretical & Applied Information Technology, 57(2)
* * [http://www.jatit.org/volumes/Vol57No2/4Vol57No2.pdf](http://www.jatit.org/volumes/Vol57No2/4Vol57No2.pdf)
* Character recognition based on global feature extraction; Journal of Theoretical and Applied Information Technology 52
* * [http://www.jatit.org/volumes/Vol52No2/6Vol52No2.pdf](http://www.jatit.org/volumes/Vol52No2/6Vol52No2.pdf)
###
Conference Papers
* Pattern Image Significance for Camera Calibration, IEEE Student Conference on Research and Development (SCOReD 2017)
* [http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8305440&isnumber=8305342](http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8305440&isnumber=8305342)
* Augmented optical flow methods for video stabilization. 4th Artificial Intelligence Technology Postgraduate Seminar (CAITPS 2015)
* [http://www.academia.edu/download/45596617/farshid.pdf](http://www.academia.edu/download/45596617/farshid.pdf)
* Auto-Calibration for Multi-Modal Robot Vision based on Image Quality Assessment, The 10th Asian Control Conference (ASCC 2015)
* [https://doi.org/10.1109/ASCC.2015.7360336](https://doi.org/10.1109/ASCC.2015.7360336)
* 2D versus 3D Map for Environment Movement Objects, Second National Doctoral Seminar in Artificial Intelligence Technology (CAIT 2012)
* [http://www.ftsm.ukm.my/cait2012/images/Program%20Schedule%20CAIT2012.pdf](http://www.ftsm.ukm.my/cait2012/images/Program%20Schedule%20CAIT2012.pdf)
* Comparison Single Thresholding Method for Image Segmentation on Handwritten Images, International Conference on Pattern Analysis and Intelligent Robotics
* [https://doi.org/10.1109/ICPAIR.2011.5976918](https://doi.org/10.1109/ICPAIR.2011.5976918)
* License Plate Recognition with Multi-Threshold Based on Entropy, 3rd International Conference on Electrical Engineering and Informatics (ICEEI 2011)
* [https://doi.org/10.1109/ICEEI.2011.6021627](https://doi.org/10.1109/ICEEI.2011.6021627)
* Character recognition based on global feature extraction, 3rd International Conference On Electrical Engineering and Informatics (ICEEI 2011)
* [https://pdfs.semanticscholar.org/2d22/66bfb2f5ba5cb40b5946b82c620dc713d793.pdf](https://pdfs.semanticscholar.org/2d22/66bfb2f5ba5cb40b5946b82c620dc713d793.pdf)
* [https://doi.org/10.1109/ICEEI.2011.6021649](https://doi.org/10.1109/ICEEI.2011.6021649)
* Tafresh Grid: Grid computing in Tafresh university," 2011 IEEE 3rd International Conference on Communication Software and Networks, Xi'an, 2011, pp. 83-85.
* [http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6014009&isnumber=6013532](http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6014009&isnumber=6013532)
* Adaptive image segmentation based on Peak Signal to Noise Ratio for a license plate Recognition system, International Conference on Computer Applications and Industrial Electronics (ICCAIE 2010)
* [https://doi.org/10.1109/ICCAIE.2010.5735125](https://doi.org/10.1109/ICCAIE.2010.5735125)
* [http://www.academia.edu/download/44161592/Adaptive_Image_Thresholding_Based_on_the20160328-31366-1wyb1jc.pdf](http://www.academia.edu/download/44161592/Adaptive_Image_Thresholding_Based_on_the20160328-31366-1wyb1jc.pdf)
* Multi-threshold approach for license plate recognition system, International Conference on Signal and Image Processing WASET ICSIP 2010:1046-1050
* [http://waset.org/publications/3636](http://waset.org/publications/3636)
* An evaluation of classification techniques using enhanced Geometrical Topological Feature Analysis, 2nd Malaysian Joint Conference on Artificial Intelligence (MJCAI 2010)
* [https://scholar.google.com/scholar?oi=bibs&cluster=3038184255311332521&btnI=1&hl=en](https://scholar.google.com/scholar?oi=bibs&cluster=3038184255311332521&btnI=1&hl=en)
###
Articles on LinkedIn
* [ADRL: Advanced Deep Reinforcement Learning {Patents and papers; Main point summary on recently published research on DRL} (draft version Feb 2019) ]([https://www.linkedin.com/pulse/patents-papers-adrl-advanced-deep-reinforcement-feb-pirahansiah-phd/](https://www.linkedin.com/pulse/patents-papers-adrl-advanced-deep-reinforcement-feb-pirahansiah-phd/))
* [The most important research papers for deep learning (updated December, 2017)]([https://www.linkedin.com/pulse/most-important-research-papers-deep-learning-updated-2017-farshid/](https://www.linkedin.com/pulse/most-important-research-papers-deep-learning-updated-2017-farshid/) )
* [List of useful links (Videos, Slides, Articles) for Deep Learning ]([https://www.linkedin.com/pulse/list-useful-links-videos-slides-articles-deep-farshid-pirahansiah/](https://www.linkedin.com/pulse/list-useful-links-videos-slides-articles-deep-farshid-pirahansiah/))
* [Autonomous driving vehicles (Computer Vision, Deep Learning)]([https://www.linkedin.com/pulse/autonomous-driving-vehicles-computer-vision-deep-farshid-pirahansiah-1/](https://www.linkedin.com/pulse/autonomous-driving-vehicles-computer-vision-deep-farshid-pirahansiah-1/)
* [Thresholding]([https://www.linkedin.com/pulse/thresholding-farshid-pirahansiah/](https://www.linkedin.com/pulse/thresholding-farshid-pirahansiah/)
###
Slides slideshare
* Deep Learning for Computer Vision in Ubuntu 19; Part 1 installation [Link]([https://www.slideshare.net/pirahansiah/deep-learning-for-computer-vision-in-ubuntu-19-part-1-installation](https://www.slideshare.net/pirahansiah/deep-learning-for-computer-vision-in-ubuntu-19-part-1-installation)
* Using Deep Learning for Computer Vision Applications [Link]([https://www.slideshare.net/pirahansiah/using-deep-learning-for-computer-vision-applications](https://www.slideshare.net/pirahansiah/using-deep-learning-for-computer-vision-applications) )
* tensorflow1.3 digits6.0 Caffe [Link]([https://www.slideshare.net/pirahansiah/farshid-tensorflow13-digits60caffe](https://www.slideshare.net/pirahansiah/farshid-tensorflow13-digits60caffe) )
* Install TensorFlow 1.2 on macOS Sierra on MacBook (June 2017) [Link]([https://www.slideshare.net/pirahansiah/install-tensorflow-12-on-macos-sierra-on-macbook-june-2017](https://www.slideshare.net/pirahansiah/install-tensorflow-12-on-macos-sierra-on-macbook-june-2017) )
* Best Deep Learning Post from LinkedIn Group [Link]([https://www.slideshare.net/pirahansiah/best-deep-learning-post-from-linkedin-group](https://www.slideshare.net/pirahansiah/best-deep-learning-post-from-linkedin-group) )
* Install, Compile, Setup, Setting OpenCV 3.2, Visual C++ 2015, Win 64bit [Link]([https://www.slideshare.net/pirahansiah/install-compile-setup-setting-opencv-32-visual-c-2015-win-64bit](https://www.slideshare.net/pirahansiah/install-compile-setup-setting-opencv-32-visual-c-2015-win-64bit) )
* Layers in Deep Learning&Caffe layers (model architecture ) [Link]([https://www.slideshare.net/pirahansiah/layers-in-deep-learningcaffe-layers-model-architecture](https://www.slideshare.net/pirahansiah/layers-in-deep-learningcaffe-layers-model-architecture) )
* How to install Digits 5.1 on Ubuntu 14 [Link]([https://www.slideshare.net/pirahansiah/how-to-install-digits-51-on-ubuntu-14](https://www.slideshare.net/pirahansiah/how-to-install-digits-51-on-ubuntu-14) )
* Deep Learning for Video Analysis – part 1 (DeepStream SDK) [NVIDIA TensorRT || NVIDIA GPU Inference Engine (GIE)] [Link]([https://www.slideshare.net/pirahansiah/deep-learning-for-video-analysis-part-1-deepstream-sdk-nvidia-tensorrt-nvidia-gpu-inference-engine-gie](https://www.slideshare.net/pirahansiah/deep-learning-for-video-analysis-part-1-deepstream-sdk-nvidia-tensorrt-nvidia-gpu-inference-engine-gie) )
* Computer Vision, Deep Learning, OpenCV [Link]([https://www.slideshare.net/pirahansiah/computer-vision-deep-learning-opencv](https://www.slideshare.net/pirahansiah/computer-vision-deep-learning-opencv) )
###
Online Courses
* [Writing with Impact ](https://www.linkedin.com/learning/writing-with-impact)
* [Balancing Work and Life ](https://www.linkedin.com/learning/balancing-work-and-life)
* [Finance Foundations: Income Taxes ](https://www.linkedin.com/learning/finance-foundations-income-taxes-2)
* [Starting a Business with Family and Friends ](https://www.linkedin.com/learning/starting-a-business-with-family-and-friends)
* [Finance Essentials for Small Business ](https://www.linkedin.com/learning/finance-essentials-for-small-business)
* [Setting Up Your Small Business as a Legal Entity ](https://www.linkedin.com/learning/setting-up-your-small-business-as-a-legal-entity)
* [Creating a Business Plan ](https://www.linkedin.com/learning/creating-a-business-plan-2)
* [Understanding Business ](https://www.linkedin.com/learning/understanding-business)
* [Entrepreneurship: Finding and Testing Your Business Idea ](https://www.linkedin.com/learning/entrepreneurship-finding-and-testing-your-business-idea)
* [Guy Kawasaki on Entrepreneurship ](https://www.linkedin.com/learning/guy-kawasaki-on-entrepreneurship)
* [Financial Modeling Foundations ](https://www.linkedin.com/learning/financial-modeling-foundations)
* [Financial Accounting Foundations ](https://www.linkedin.com/learning/financial-accounting-foundations)
* [Strategic Planning Foundations ](https://www.linkedin.com/learning/strategic-planning-foundations)
* [5 Personal Finance Tips ](https://www.linkedin.com/learning/5-personal-finance-tips)
* [Investment Evaluation ](https://www.linkedin.com/learning/investment-evaluation)
* [Managing Your Personal Investments ](https://www.linkedin.com/learning/managing-your-personal-investments)
* [Financial Wellness: Managing Personal Cash Flow ](https://www.linkedin.com/learning/financial-wellness-managing-personal-cash-flow)
* [Financial Wellness for Couples and Families ](https://www.linkedin.com/learning/financial-wellness-for-couples-and-families)
* [Managing Your Personal Finances ](https://www.linkedin.com/learning/managing-your-personal-finances)
* [Finance Foundations ](https://www.linkedin.com/learning/finance-foundations-2)
* [Entrepreneurship Foundations ](https://www.linkedin.com/learning/entrepreneurship-foundations-2)
* [Introduction to Deep Learning with OpenCV ](https://www.linkedin.com/learning/introduction-to-deep-learning-with-opencv)
* [OpenCV for Python Developers ](https://www.linkedin.com/learning/opencv-for-python-developers)
* [Brad Feld on Validating Your Startup Idea ](https://www.linkedin.com/learning/brad-feld-on-validating-your-startup-idea)
* [Brad Feld on Raising Capital ](https://www.linkedin.com/learning/brad-feld-on-raising-capital)
* [Take a More Creative Approach to Problem-Solving ](https://www.linkedin.com/learning/take-a-more-creative-approach-to-problem-solving)
* [Professional Networking ](https://www.linkedin.com/learning/professional-networking)
* [Building Relationships While Working from Home ](https://www.linkedin.com/learning/building-relationships-while-working-from-home)
* [Entrepreneurship: Raising Startup Capital ](https://www.linkedin.com/learning/entrepreneurship-raising-startup-capital)
* [Business Analysis Foundations: Business Process Modeling ](https://www.linkedin.com/learning/business-analysis-foundations-business-process-modeling)
* [Communicating with Confidence ](https://www.linkedin.com/learning/communicating-with-confidence)
* [Machine Learning for iOS Developers ](https://www.linkedin.com/learning/machine-learning-for-ios-developers)
###
Learning path
* [Stay Ahead in Personal Finance ](https://www.linkedin.com/learning/paths/stay-ahead-in-personal-finance)
* [Become a Small Business Owner ](https://www.linkedin.com/learning/paths/become-a-small-business-owner)
#
Completed
###
Reference
[https://drive.google.com/file/d/1xd5TZlEZnUUieXzw3Lxn3Sv7MwIajU_W/view?usp=sharing](https://drive.google.com/file/d/1xd5TZlEZnUUieXzw3Lxn3Sv7MwIajU_W/view?usp=sharing)
###
Link of best Groups
* [LinkedIn: Computer Vision, Deep Learning, Deep Reinforcement Learning, GANs, OpenCV, Caffe, TensorFlow,PyTorch](https://www.linkedin.com/groups/10320678/)
* [Source code](https://gitlab.com/pirahansiah)
* [Facebook : Deep Learning, Computer Vision, Robotics ](https://web.facebook.com/groups/185926728115336/)
* [The link to one-note notebook ](https://1drv.ms/u/s!AhG15hrdT9JOgR5GZgPjve65F-e5)
* [GitHub](https://github.com/pirahansiah)
###
Books
* [The Art of Startup Fundraising](https://www.amazon.de/-/en/Alejandro-Cremades-ebook/dp/B01DQ3GY3Y)
* [Mathematics for Machine Learning](https://mml-book.github.io/)
* Principles of Economics (6th edition)
* The E-Myth Revisited Why Most Small Businesses Don't Work and What to Do About It
* Clean Code: A Handbook of Agile Software Craftsmanship (Robert C. Martin)
* Reinventing Your Life: The Breakthough Program to End Negative Behavior
* Ways Of Thinking: The Limits Of Rational Thought And Artificial Intelligence
* [https://images.kw.com/docs/2/1/2/212345/1285134779158_htwfaip.pdf](https://images.kw.com/docs/2/1/2/212345/1285134779158_htwfaip.pdf)
* * [Computer Vision: Algorithms and Applications](http://szeliski.org/Book/)
* [Multiple View Geometry in Computer Vision Second Edition](https://www.robots.ox.ac.uk/~vgg/hzbook/)
* [Complete to download the latest draft of Machine Learning Yearning](https://www.deeplearning.ai/machine-learning-yearning/)
* Multiple view geometry in computer vision
* Learning OpenCV Book by Adrian Kaehler and Gary Bradski
* Digital Image Processing, Global Edition by Rafael C. Gonzalez
* Introduction to Algorithms, 3rd Edition (The MIT Press)
* The Mythical Man-Month: Essays on Software Engineering
* [OpenCV-4-with-Python-Blueprints-Second-Edition](https://github.com/PacktPublishing/OpenCV-4-with-Python-Blueprints-Second-Edition)
###
Videos
* [https://www.youtube.com/computervisiondeeplearning](https://www.youtube.com/computervisiondeeplearning)
* [Two Minute Papers](https://www.youtube.com/c/K%C3%A1rolyZsolnai/videos)
* [Conference on Pattern Recognition](https://www.gcpr-vmv-vcbm-2020.uni-tuebingen.de/)
* [https://researchseminars.org/?fbclid=IwAR0Ly9WLONBMBteYI7IhlRaMYR_rQR6YrpdxLG_sUxPxGYKQhB0SOTmcjgY](https://researchseminars.org/?fbclid=IwAR0Ly9WLONBMBteYI7IhlRaMYR_rQR6YrpdxLG_sUxPxGYKQhB0SOTmcjgY)
###
Papers
* CALTag: High Precision Fiducial Markers for Camera
* Diatom Autofocusing in Brightfield Microscopy: a Comparative Study
* Analysis of focus measure operators in shape-from-focus
* Optical flow modeling and computation: A survey
* Toward general type 2 fuzzy logic systems based on zSlices
###
Site
* [Research Tools By: Nader Ale Ebrahim](https://www.mindmeister.com/39583892/research-tools-by-nader-ale-ebrahim?t=HMmnzlA4zN) ([MindMap](https://www.mindmeister.com/39583892/research-tools-by-nader-ale-ebrahim?fullscreen=1#))
Reference-
ComputerVisionDeepLearning.pdf
* [https://virgool.io/@r_alimorady/easy-install-cuda-document-hhk6nuylvl1w](https://virgool.io/@r_alimorady/easy-install-cuda-document-hhk6nuylvl1w)
* [https://techcommunity.microsoft.com/t5/azure-ai/introducing-multivariate-anomaly-detection/ba-p/2260679](https://techcommunity.microsoft.com/t5/azure-ai/introducing-multivariate-anomaly-detection/ba-p/2260679)
* [https://www.freertos.org/index.html](https://www.freertos.org/index.html)
* [https://en.wikipedia.org/wiki/Knowledge_distillation](https://en.wikipedia.org/wiki/Knowledge_distillation)
* [https://80000hours.org/2015/10/startup-salaries-and-equity-compensation/](https://80000hours.org/2015/10/startup-salaries-and-equity-compensation/)
* [https://www.thecvf.com/?page_id=413](https://www.thecvf.com/?page_id=413)
* [https://levelup.gitconnected.com/s-o-l-i-d-principles-explained-in-python-with-examples-83b2b43bdcde?gi=a1fee170c917](https://levelup.gitconnected.com/s-o-l-i-d-principles-explained-in-python-with-examples-83b2b43bdcde?gi=a1fee170c917)
* [https://arxiv.org/pdf/2104.13921.pdf](https://arxiv.org/pdf/2104.13921.pdf)
* [https://blog.paperspace.com/object-detection-directed-mask-r-cnn-keras/](https://blog.paperspace.com/object-detection-directed-mask-r-cnn-keras/)
* [https://pub.towardsai.net/will-transformers-replace-cnns-in-computer-vision-55657a196833](https://pub.towardsai.net/will-transformers-replace-cnns-in-computer-vision-55657a196833)
* [https://medium.com/@daviddelaiglesiacastro/3d-point-cloud-generation-from-3d-triangular-mesh-bbb602ecf238](https://medium.com/@daviddelaiglesiacastro/3d-point-cloud-generation-from-3d-triangular-mesh-bbb602ecf238)
*
[https://koinly.io/](https://koinly.io/)
site map: octopus.do
[https://www.startupgermany.nrw/startup-
contest/](https://www.startupgermany.nrw/startup-contest/)
[https://www.kickstarter.com/projects/opencv/opencv-ai-kit-oak-depth-
camera-4k-cv-edge-object-
detection/description](https://www.kickstarter.com/projects/opencv/opencv-ai-
kit-oak-depth-camera-4k-cv-edge-object-detection/description)
[HOW I GAINED 68,000 SUBSCRIBERS IN A YEAR! | My Strategy to Grow on YouTube
in 2021! - YouTube
](https://www.youtube.com/watch?v=bwd1dQr33K8&list=PLxC08P2Oexy2EJKezV02N9cp3-qOEh79Z)
[https://www.youtube.com/watch?v=bwd1dQr33K8&list=PLxC08P2Oexy2EJKezV02N9cp3-qOEh79Z](https://www.youtube.com/watch?v=bwd1dQr33K8&list=PLxC08P2Oexy2EJKezV02N9cp3-qOEh79Z)
[https://www.youtube.com/watch?v=cFdApmqlllg](https://www.youtube.com/watch?v=cFdApmqlllg)
[محمد رضا شجریان، آلبوم کامل در خیال -
YouTube](https://www.youtube.com/watch?v=cFdApmqlllg)
[دوره جامع گوگل آنالیتیکس(UA) |
آنالیتیپس](https://analytips.io/product/google-analyticsua/)
[رادیوگیک - شماره ۱۲۱ - ما این لارادیوگیک - شماره ۱۲۱ - ما این لا -
YouTube](https://www.youtube.com/watch?v=dzBLhio-DIc)
[Social Selling Index | Sales
Navigator](https://www.linkedin.com/sales/ssi?src=or-
search&veh=www.google.com)
[https://rschu.me/list-a-directory-with-tree-command-on-mac-
os-x-3b2d4c4a4827](https://rschu.me/list-a-directory-with-tree-command-on-mac-
os-x-3b2d4c4a4827)
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* [Cloud-Native](/courses/cloud-native)
* [IoT Scholarship Foundation](/courses/iot-scholarship-foundation)
* [TensorFlow: Data and Deployment Specialization ](/courses/tensorflow-data-and-deployment-specialization)
* [Workshops and Events](/workshops-and-events)
* [RISC-V](/workshops-and-events/risc-v)
* [Edge-AI-summit](/workshops-and-events/edge-ai-summit)
* [Embedded IoT](/workshops-and-events/embedded-iot)
* [Tesla](/workshops-and-events/tesla)
* [AI-Hardware](/workshops-and-events/ai-hardware)
* [OpenVINO Deep Learning](/workshops-and-events/openvino-deep-learning)
* [Metaverse](/workshops-and-events/metaverse)
* [Workshops](/workshops-and-events/workshops)
* [IFA2022](/workshops-and-events/ifa2022)
* [Book Summary ](/book-summary)
* [commonplace book](/book-summary/commonplace-book)
* [knowledge_management](/book-summary/knowledge_management)
* [PKM](/book-summary/knowledge_management/pkm)
* [Topics and Projects](/topics-and-projects)
* [AI_Hub](/topics-and-projects/ai_hub)
* [ChatGPT](/topics-and-projects/chatgpt)
* [How to start](/topics-and-projects/how-to-start)
* [YouTube](/topics-and-projects/how-to-start/youtube)
* [YouTube II](/topics-and-projects/how-to-start/youtube-ii)
* [Software](/topics-and-projects/how-to-start/software)
* [Roadmap for Image Processing ](/topics-and-projects/how-to-start/roadmap-for-image-processing)
* [Source Code](/topics-and-projects/source-code)
* [OpenCV](/topics-and-projects/source-code/opencv)
* [CPP](/topics-and-projects/source-code/opencv/cpp)
* [python](/topics-and-projects/source-code/opencv/python)
* [MacOS+OpenCV](/topics-and-projects/source-code/opencv/macos-opencv)
* [Rust](/topics-and-projects/source-code/opencv/rust)
* [compile](/topics-and-projects/source-code/compile)
* [IoT](/topics-and-projects/source-code/iot)
* [Share](/topics-and-projects/share)
* [Video Tracking](/topics-and-projects/video-tracking)
* [Camera_Calibration](/topics-and-projects/camera_calibration)
* [DRL](/topics-and-projects/drl)
* [Hardware](/topics-and-projects/hardware)
* [Quantum Computing](/topics-and-projects/quantum-computing)
* [AltCoin](/topics-and-projects/altcoin)
* [Resume_CV](/topics-and-projects/resume_cv)
* [فارسی](/topics-and-projects/فارسی)
* [Apple](/topics-and-projects/apple)
* [startup](/topics-and-projects/startup)
* [Links](/links)
* [amazon](/links/amazon)
* [About](/about)
* [FQA](/about/fqa)
[Computer
Vision, Deep Learning, Artificial superintelligence (ASI)](/home)
# Links
pirahansiah, Personal, Roadmap, Books, Online Courses
[](https://drive.google.com/open?id=1ELXvmqcSciCK8-TUVsyVRnYTuxnKta-_xze-
oXQexwY "Open Spreadsheet, Links in new window")
Links
Links from my research and interest
AI in RISC-V
Mixed reality
Old Links
Reference
Link Groups
Top website
Python
Computer Vision
Documents
Business
Tools
Patents
Books
Journal Papers
Conference Papers
Articles on LinkedIn
Slides slideshare
Online Courses
Learning path
Completed
Reference
Link of best Groups
Books
Videos
Papers
Site
Efficient Video Dataset Loading and Augmentation in PyTorch for deep learning
training loops.
GitHub[ https://lnkd.in/gpR8idsp](https://lnkd.in/gpR8idsp)
[https://remmina.org/how-to-install-remmina/](https://remmina.org/how-to-
install-remmina/)
[https://readme.so/](https://readme.so/)
#
Links from my research and interest
[Build Better Generative Adversarial Networks (GANs) - Andrew Ng -
2021](https://www.youtube.com/playlist?list=PLuv1FSpHurUfl44GWqaCzEhGP-aP_-
VnF)
[https://www.oreilly.com/library/view/flow-
architectures/9781492075882/](https://www.oreilly.com/library/view/flow-
architectures/9781492075882/)
##
AI in RISC-V
* [RISC-V hardware & software ecosystem highlights in 2020](https://www.cnx-software.com/2020/12/10/risc-v-hardware-software-ecosystem-highlights-in-2020)
##
Mixed reality
* [https://github.com/MIT-SPARK/Kimera](https://github.com/MIT-SPARK/Kimera)
* Kimera is a C++ library for real-time metric-semantic simultaneous localization and mapping, which uses camera images and inertial data to build a semantically annotated 3D mesh of the environment. Kimera is modular, ROS-enabled, and runs on a CPU.
#
Old Links
###
Reference
[https://drive.google.com/file/d/1xd5TZlEZnUUieXzw3Lxn3Sv7MwIajU_W/view?usp=sharing](https://drive.google.com/file/d/1xd5TZlEZnUUieXzw3Lxn3Sv7MwIajU_W/view?usp=sharing)
###
Link Groups
* [LinkedIn: Computer Vision, Deep Learning, Deep Reinforcement Learning, GANs, OpenCV, Caffe, TensorFlow,PyTorch](https://www.linkedin.com/groups/10320678/)
* [Source code](https://gitlab.com/pirahansiah)
* [Facebook : Deep Learning, Computer Vision, Robotics ](https://web.facebook.com/groups/185926728115336/)
* [The link to one-note notebook ](https://1drv.ms/u/s!AhG15hrdT9JOgR5GZgPjve65F-e5)
* [GitHub](https://github.com/pirahansiah)
###
Top website
* [https://paperswithcode.com/](https://paperswithcode.com/)
* [https://www.learnthepart.com/](https://www.learnthepart.com/)
* [https://hackaday.com/](https://hackaday.com/)
* [https://medium.com/@pirahansiah/timesaver-626019137fa9?sk=cde3334919d6c16ba0964fe021a24762](https://medium.com/@pirahansiah/timesaver-626019137fa9?sk=cde3334919d6c16ba0964fe021a24762)
* hbrew install youtube-dl
* [https://www.masterclass.com/](https://www.masterclass.com/)
* [Deep Learning for coders (2020)](https://www.youtube.com/user/howardjeremyp)
* [Deep Learning for Video](https://mcv-m6-video.github.io/deepvideo-2019/) (Master in Computer Vision Barcelona)
* [Augmented Reality using ArUco Markers in OpenCV (C++ / Python)](https://www.learnopencv.com/augmented-reality-using-aruco-markers-in-opencv-c-python/)
* [https://explainshell.com/](https://explainshell.com/)
* [https://stackoverflow.blog/2020/02/12/when-laziness-is-efficient-make-the-most-of-your-command-line/](https://stackoverflow.blog/2020/02/12/when-laziness-is-efficient-make-the-most-of-your-command-line/?utm_source=Iterable&utm_medium=email&utm_campaign=the_overflow_newsletter&utm_content=02-19-20)
* [https://link.medium.com/XA49Ke0Jt4](https://link.medium.com/XA49Ke0Jt4)
* [https://link.medium.com/Np0YEy1Jt4](https://link.medium.com/Np0YEy1Jt4)
###
Python
* [How to Write Beautiful Python Code With PEP 8](https://realpython.com/python-pep8/)
* [PEP 622 -- Structural Pattern Matching](https://www.python.org/dev/peps/pep-0622/)
* [Monitor Your Dependencies! Stop Being A Blind Data-Scientist.](https://towardsdatascience.com/monitor-your-dependencies-stop-being-a-blind-data-scientist-a3150bd64594)
###
Computer Vision
* [Hybrid CV/DL pipelines with OpenCV 4.4 G-API](https://opencv.org/hybrid-cv-dl-pipelines-with-opencv-4-4-g-api/)
* [PaddleDetection is an end-to-end object detection development kit based on PaddlePaddle, which aims to help developers in the whole development of training models, optimizing performance and inference speed, and deploying models. ](https://github.com/PaddlePaddle/PaddleDetection/blob/release/0.4/README_en.md)
* [https://github.com/google/mediapipe](https://github.com/google/mediapipe)
###
Documents
* [https://book.keybase.io/docs](https://book.keybase.io/docs)
* [kind is a tool for running local Kubernetes clusters using Docker container "nodes".](https://github.com/kubernetes-sigs/kind)
* [FINN is an experimental framework from Xilinx Research Labs to explore deep neural network inference on FPGAs. ](https://xilinx.github.io/finn/)
* [Gitter is a chat and networking platform that helps to manage, grow and connect communities through messaging, content and discovery.](https://gitter.im/)
* [Fair and useful benchmarks for measuring training and inference performance of ML hardware, software, and services.](https://mlperf.org/)
* [https://kepler.gl/demo](https://kepler.gl/demo)
* [Open source, highly available Prometheus setup with long term storage capabilities.](https://thanos.io/)
* [Deep Learning Design Patterns - Jr Data Scientist - Part 3 - Alternative Connectivity Patterns](https://www.youtube.com/watch?v=JI-MButCqUE)
###
Business
* [5 Ways to Make More Money as a Coach or Consultant](https://www.entrepreneur.com/article/283006)
* [https://www.youtube.com/watch?v=njx09wXb9o0&list=PLnhdsL4kFmVYMNq6F8k8UiFkc6fwIdk3o&index=5](https://www.youtube.com/watch?v=njx09wXb9o0&list=PLnhdsL4kFmVYMNq6F8k8UiFkc6fwIdk3o&index=5)
###
Tools
* Free convert video for mac opensource
* [https://github.com/HandBrake/HandBrake](https://github.com/HandBrake/HandBrake)
* [https://handbrake.fr/rotation.php?file=HandBrake-1.3.3.dmg](https://handbrake.fr/rotation.php?file=HandBrake-1.3.3.dmg)
* [global-gitignore.md](https://gist.github.com/subfuzion/db7f57fff2fb6998a16c)
* [https://nextbillion.ai/](https://nextbillion.ai/) Mapping platform built for enterprises
* [https://github.com/ondras/my-mind](https://github.com/ondras/my-mind) MindMap
* [Create and share beautiful images of your source code.](https://carbon.now.sh/)
* [Web IDE](https://replit.com/templates)
* [https://github.com/jely2002/youtube-dl-gui/releases/tag/v2.2.2](https://github.com/jely2002/youtube-dl-gui/releases/tag/v2.2.2)
###
Patents
[https://patents.google.com/?inventor=pirahansiah&oq=pirahansiah](https://patents.google.com/?inventor=pirahansiah&oq=pirahansiah)
1. System and method for providing advertisement contents based on facial analysis (WO2020141969A2)
2. A method for augmenting a plurality of face images (WO2021060971A1)
3. A method for detecting a moving vehicle (WO2021107761A1)
1. System and method for providing advertisement contents based on facial analysis (WO2020141969A2)
The present invention relates to a system (100) for providing advertisement
contents based on facial analysis comprising an image acquisition device (10)
to acquire an image of a user, a face detection module (20) to detect face of
the user in the image, an analysis module (40) to analyse the facial features
statistically using classification models retrieved from a classification
module (30), a database (60) to store matching rules, weighted advertisements
and a plurality of advertisement contents; and a display device (80) to
display the advertisement contents. The system (100) further comprises a
computation module (50) to compute weighted image of the user and a matching
module (70) to match the weighted image of the user with the weighted
advertisement to select an advertisement content based on facial analysis of
the user. A method of providing the advertisement contents based on facial
analysis is also provided thereof.
[https://patentimages.storage.googleapis.com/ff/3f/a5/e7b42ef58d8a03/WO2020141969A2.pdf](https://patentimages.storage.googleapis.com/ff/3f/a5/e7b42ef58d8a03/WO2020141969A2.pdf)
2. A method for augmenting a plurality of face images (WO2021060971A1)
The present invention relates to a method for increasing data for face
analysis in video surveillance. The method comprises the steps of acquiring at
least one face image from an image acquisition module (102), acquiring a
plurality of face images available on the internet using a data input module
(104), increasing face images by at least one data augmentation module (106
and 107), generating a plurality of face images based on a trained Generative
Adversarial Network, GAN technique by using a GAN module, selecting proper
images based on quality of the face images using a fuzzy logic module (111),
saving the selected images into a fifth database, and training the deep
learning module (113).
[https://patentimages.storage.googleapis.com/b8/d9/7f/ea8a5b789e1dad/WO2021060971A1.pdf](https://patentimages.storage.googleapis.com/b8/d9/7f/ea8a5b789e1dad/WO2021060971A1.pdf)
3. A method for detecting a moving vehicle (WO2021107761A1)
The present invention relates to a method for detecting a moving vehicle. The
method comprises the steps of grabbing an initial image from a video stream by
a vehicle detection module (1100), wherein the vehicle detection module (1100)
is a part of a system (1000) to identify moving vehicle, enhancing the
illumination of the initial image by the vehicle detection module (1100),
enhancing the edges within the initial image by the vehicle detection module
(1100), and finding vehicle based on homogenous properties of the body of the
vehicle by the vehicle detection module (1100). The step of finding vehicle
based on homogenous property of the body of the vehicle by the vehicle
detection module (1100) further comprising the sub-steps of closing open
edges, inverting the binary image, segmenting an inverted binary image,
filtering the noise based on geometric feature, and filtering the noise based
on relation.
[https://patentimages.storage.googleapis.com/16/41/83/2576e20c4a0af5/WO2021107761A1.pdf](https://patentimages.storage.googleapis.com/16/41/83/2576e20c4a0af5/WO2021107761A1.pdf)
###
Books
1. [book chapter titled “Camera Calibration and Video Stabilization Framework for Robot Localization” in the Book entitled “Control Engineering in Robotics and Industrial Automation" which will be published (24/07/2021) in Springer. ](https://www.waterstones.com/book/control-engineering-in-robotics-and-industrial-automation/muralindran-mariappan/mohd-rizal-arshad/9783030745394)
2. [book chapter titled “Augmented Optical Flow Methods for Video Stabilization", In Computational Intelligence: from theory to application. (2017) (p18). ](http://www.ukm.my/penerbit/penerbitan-2017/)
###
Journal Papers
* Using An Ant Colony Optimization Algorithm For Image Edge Detection As A Threshold Segmentation For OCR System Journal of Theoretical & Applied Information Technology, 95(21)
* * [http://www.jatit.org/volumes/Vol95No21/1Vol95No21.pdf](http://www.jatit.org/volumes/Vol95No21/1Vol95No21.pdf)
* GSFT-PSNR: Global Single Fuzzy Threshold Based on PSNR for OCR Systems, International Journal of Computer Science and Network Solutions 4(6)
* * [https://www.ijcsns.com/June.2016-Volume.4-No.6/Article01.pdf](https://www.ijcsns.com/June.2016-Volume.4-No.6/Article01.pdf)
* Adaptive Image Thresholding based On the Peak Signal-To-Noise Ratio, Research Journal of Applied Sciences, Engineering and Technology 8(9).
* * [http://www.academia.edu/download/44161592/Adaptive_Image_Thresholding_Based_on_the20160328-31366-1wyb1jc.pdf](http://www.academia.edu/download/44161592/Adaptive_Image_Thresholding_Based_on_the20160328-31366-1wyb1jc.pdf)
* Simultaneous Localization and Mapping Trends and Humanoid Robot Linkages, Asia-Pacific Journal of Information Technology and Multimedia (APJITM)
* * [http://journalarticle.ukm.my/6644/1/4429-10302-1-SM.pdf](http://journalarticle.ukm.my/6644/1/4429-10302-1-SM.pdf)
* Peak Signal-To-Noise Ratio Based On Threshold Method for Image Segmentation, Journal of Theoretical & Applied Information Technology, 57(2)
* * [http://www.jatit.org/volumes/Vol57No2/4Vol57No2.pdf](http://www.jatit.org/volumes/Vol57No2/4Vol57No2.pdf)
* Character recognition based on global feature extraction; Journal of Theoretical and Applied Information Technology 52
* * [http://www.jatit.org/volumes/Vol52No2/6Vol52No2.pdf](http://www.jatit.org/volumes/Vol52No2/6Vol52No2.pdf)
###
Conference Papers
* Pattern Image Significance for Camera Calibration, IEEE Student Conference on Research and Development (SCOReD 2017)
* [http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8305440&isnumber=8305342](http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8305440&isnumber=8305342)
* Augmented optical flow methods for video stabilization. 4th Artificial Intelligence Technology Postgraduate Seminar (CAITPS 2015)
* [http://www.academia.edu/download/45596617/farshid.pdf](http://www.academia.edu/download/45596617/farshid.pdf)
* Auto-Calibration for Multi-Modal Robot Vision based on Image Quality Assessment, The 10th Asian Control Conference (ASCC 2015)
* [https://doi.org/10.1109/ASCC.2015.7360336](https://doi.org/10.1109/ASCC.2015.7360336)
* 2D versus 3D Map for Environment Movement Objects, Second National Doctoral Seminar in Artificial Intelligence Technology (CAIT 2012)
* [http://www.ftsm.ukm.my/cait2012/images/Program%20Schedule%20CAIT2012.pdf](http://www.ftsm.ukm.my/cait2012/images/Program%20Schedule%20CAIT2012.pdf)
* Comparison Single Thresholding Method for Image Segmentation on Handwritten Images, International Conference on Pattern Analysis and Intelligent Robotics
* [https://doi.org/10.1109/ICPAIR.2011.5976918](https://doi.org/10.1109/ICPAIR.2011.5976918)
* License Plate Recognition with Multi-Threshold Based on Entropy, 3rd International Conference on Electrical Engineering and Informatics (ICEEI 2011)
* [https://doi.org/10.1109/ICEEI.2011.6021627](https://doi.org/10.1109/ICEEI.2011.6021627)
* Character recognition based on global feature extraction, 3rd International Conference On Electrical Engineering and Informatics (ICEEI 2011)
* [https://pdfs.semanticscholar.org/2d22/66bfb2f5ba5cb40b5946b82c620dc713d793.pdf](https://pdfs.semanticscholar.org/2d22/66bfb2f5ba5cb40b5946b82c620dc713d793.pdf)
* [https://doi.org/10.1109/ICEEI.2011.6021649](https://doi.org/10.1109/ICEEI.2011.6021649)
* Tafresh Grid: Grid computing in Tafresh university," 2011 IEEE 3rd International Conference on Communication Software and Networks, Xi'an, 2011, pp. 83-85.
* [http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6014009&isnumber=6013532](http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6014009&isnumber=6013532)
* Adaptive image segmentation based on Peak Signal to Noise Ratio for a license plate Recognition system, International Conference on Computer Applications and Industrial Electronics (ICCAIE 2010)
* [https://doi.org/10.1109/ICCAIE.2010.5735125](https://doi.org/10.1109/ICCAIE.2010.5735125)
* [http://www.academia.edu/download/44161592/Adaptive_Image_Thresholding_Based_on_the20160328-31366-1wyb1jc.pdf](http://www.academia.edu/download/44161592/Adaptive_Image_Thresholding_Based_on_the20160328-31366-1wyb1jc.pdf)
* Multi-threshold approach for license plate recognition system, International Conference on Signal and Image Processing WASET ICSIP 2010:1046-1050
* [http://waset.org/publications/3636](http://waset.org/publications/3636)
* An evaluation of classification techniques using enhanced Geometrical Topological Feature Analysis, 2nd Malaysian Joint Conference on Artificial Intelligence (MJCAI 2010)
* [https://scholar.google.com/scholar?oi=bibs&cluster=3038184255311332521&btnI=1&hl=en](https://scholar.google.com/scholar?oi=bibs&cluster=3038184255311332521&btnI=1&hl=en)
###
Articles on LinkedIn
* [ADRL: Advanced Deep Reinforcement Learning {Patents and papers; Main point summary on recently published research on DRL} (draft version Feb 2019) ]([https://www.linkedin.com/pulse/patents-papers-adrl-advanced-deep-reinforcement-feb-pirahansiah-phd/](https://www.linkedin.com/pulse/patents-papers-adrl-advanced-deep-reinforcement-feb-pirahansiah-phd/))
* [The most important research papers for deep learning (updated December, 2017)]([https://www.linkedin.com/pulse/most-important-research-papers-deep-learning-updated-2017-farshid/](https://www.linkedin.com/pulse/most-important-research-papers-deep-learning-updated-2017-farshid/) )
* [List of useful links (Videos, Slides, Articles) for Deep Learning ]([https://www.linkedin.com/pulse/list-useful-links-videos-slides-articles-deep-farshid-pirahansiah/](https://www.linkedin.com/pulse/list-useful-links-videos-slides-articles-deep-farshid-pirahansiah/))
* [Autonomous driving vehicles (Computer Vision, Deep Learning)]([https://www.linkedin.com/pulse/autonomous-driving-vehicles-computer-vision-deep-farshid-pirahansiah-1/](https://www.linkedin.com/pulse/autonomous-driving-vehicles-computer-vision-deep-farshid-pirahansiah-1/)
* [Thresholding]([https://www.linkedin.com/pulse/thresholding-farshid-pirahansiah/](https://www.linkedin.com/pulse/thresholding-farshid-pirahansiah/)
###
Slides slideshare
* Deep Learning for Computer Vision in Ubuntu 19; Part 1 installation [Link]([https://www.slideshare.net/pirahansiah/deep-learning-for-computer-vision-in-ubuntu-19-part-1-installation](https://www.slideshare.net/pirahansiah/deep-learning-for-computer-vision-in-ubuntu-19-part-1-installation)
* Using Deep Learning for Computer Vision Applications [Link]([https://www.slideshare.net/pirahansiah/using-deep-learning-for-computer-vision-applications](https://www.slideshare.net/pirahansiah/using-deep-learning-for-computer-vision-applications) )
* tensorflow1.3 digits6.0 Caffe [Link]([https://www.slideshare.net/pirahansiah/farshid-tensorflow13-digits60caffe](https://www.slideshare.net/pirahansiah/farshid-tensorflow13-digits60caffe) )
* Install TensorFlow 1.2 on macOS Sierra on MacBook (June 2017) [Link]([https://www.slideshare.net/pirahansiah/install-tensorflow-12-on-macos-sierra-on-macbook-june-2017](https://www.slideshare.net/pirahansiah/install-tensorflow-12-on-macos-sierra-on-macbook-june-2017) )
* Best Deep Learning Post from LinkedIn Group [Link]([https://www.slideshare.net/pirahansiah/best-deep-learning-post-from-linkedin-group](https://www.slideshare.net/pirahansiah/best-deep-learning-post-from-linkedin-group) )
* Install, Compile, Setup, Setting OpenCV 3.2, Visual C++ 2015, Win 64bit [Link]([https://www.slideshare.net/pirahansiah/install-compile-setup-setting-opencv-32-visual-c-2015-win-64bit](https://www.slideshare.net/pirahansiah/install-compile-setup-setting-opencv-32-visual-c-2015-win-64bit) )
* Layers in Deep Learning&Caffe layers (model architecture ) [Link]([https://www.slideshare.net/pirahansiah/layers-in-deep-learningcaffe-layers-model-architecture](https://www.slideshare.net/pirahansiah/layers-in-deep-learningcaffe-layers-model-architecture) )
* How to install Digits 5.1 on Ubuntu 14 [Link]([https://www.slideshare.net/pirahansiah/how-to-install-digits-51-on-ubuntu-14](https://www.slideshare.net/pirahansiah/how-to-install-digits-51-on-ubuntu-14) )
* Deep Learning for Video Analysis – part 1 (DeepStream SDK) [NVIDIA TensorRT || NVIDIA GPU Inference Engine (GIE)] [Link]([https://www.slideshare.net/pirahansiah/deep-learning-for-video-analysis-part-1-deepstream-sdk-nvidia-tensorrt-nvidia-gpu-inference-engine-gie](https://www.slideshare.net/pirahansiah/deep-learning-for-video-analysis-part-1-deepstream-sdk-nvidia-tensorrt-nvidia-gpu-inference-engine-gie) )
* Computer Vision, Deep Learning, OpenCV [Link]([https://www.slideshare.net/pirahansiah/computer-vision-deep-learning-opencv](https://www.slideshare.net/pirahansiah/computer-vision-deep-learning-opencv) )
###
Online Courses
* [Writing with Impact ](https://www.linkedin.com/learning/writing-with-impact)
* [Balancing Work and Life ](https://www.linkedin.com/learning/balancing-work-and-life)
* [Finance Foundations: Income Taxes ](https://www.linkedin.com/learning/finance-foundations-income-taxes-2)
* [Starting a Business with Family and Friends ](https://www.linkedin.com/learning/starting-a-business-with-family-and-friends)
* [Finance Essentials for Small Business ](https://www.linkedin.com/learning/finance-essentials-for-small-business)
* [Setting Up Your Small Business as a Legal Entity ](https://www.linkedin.com/learning/setting-up-your-small-business-as-a-legal-entity)
* [Creating a Business Plan ](https://www.linkedin.com/learning/creating-a-business-plan-2)
* [Understanding Business ](https://www.linkedin.com/learning/understanding-business)
* [Entrepreneurship: Finding and Testing Your Business Idea ](https://www.linkedin.com/learning/entrepreneurship-finding-and-testing-your-business-idea)
* [Guy Kawasaki on Entrepreneurship ](https://www.linkedin.com/learning/guy-kawasaki-on-entrepreneurship)
* [Financial Modeling Foundations ](https://www.linkedin.com/learning/financial-modeling-foundations)
* [Financial Accounting Foundations ](https://www.linkedin.com/learning/financial-accounting-foundations)
* [Strategic Planning Foundations ](https://www.linkedin.com/learning/strategic-planning-foundations)
* [5 Personal Finance Tips ](https://www.linkedin.com/learning/5-personal-finance-tips)
* [Investment Evaluation ](https://www.linkedin.com/learning/investment-evaluation)
* [Managing Your Personal Investments ](https://www.linkedin.com/learning/managing-your-personal-investments)
* [Financial Wellness: Managing Personal Cash Flow ](https://www.linkedin.com/learning/financial-wellness-managing-personal-cash-flow)
* [Financial Wellness for Couples and Families ](https://www.linkedin.com/learning/financial-wellness-for-couples-and-families)
* [Managing Your Personal Finances ](https://www.linkedin.com/learning/managing-your-personal-finances)
* [Finance Foundations ](https://www.linkedin.com/learning/finance-foundations-2)
* [Entrepreneurship Foundations ](https://www.linkedin.com/learning/entrepreneurship-foundations-2)
* [Introduction to Deep Learning with OpenCV ](https://www.linkedin.com/learning/introduction-to-deep-learning-with-opencv)
* [OpenCV for Python Developers ](https://www.linkedin.com/learning/opencv-for-python-developers)
* [Brad Feld on Validating Your Startup Idea ](https://www.linkedin.com/learning/brad-feld-on-validating-your-startup-idea)
* [Brad Feld on Raising Capital ](https://www.linkedin.com/learning/brad-feld-on-raising-capital)
* [Take a More Creative Approach to Problem-Solving ](https://www.linkedin.com/learning/take-a-more-creative-approach-to-problem-solving)
* [Professional Networking ](https://www.linkedin.com/learning/professional-networking)
* [Building Relationships While Working from Home ](https://www.linkedin.com/learning/building-relationships-while-working-from-home)
* [Entrepreneurship: Raising Startup Capital ](https://www.linkedin.com/learning/entrepreneurship-raising-startup-capital)
* [Business Analysis Foundations: Business Process Modeling ](https://www.linkedin.com/learning/business-analysis-foundations-business-process-modeling)
* [Communicating with Confidence ](https://www.linkedin.com/learning/communicating-with-confidence)
* [Machine Learning for iOS Developers ](https://www.linkedin.com/learning/machine-learning-for-ios-developers)
###
Learning path
* [Stay Ahead in Personal Finance ](https://www.linkedin.com/learning/paths/stay-ahead-in-personal-finance)
* [Become a Small Business Owner ](https://www.linkedin.com/learning/paths/become-a-small-business-owner)
#
Completed
###
Reference
[https://drive.google.com/file/d/1xd5TZlEZnUUieXzw3Lxn3Sv7MwIajU_W/view?usp=sharing](https://drive.google.com/file/d/1xd5TZlEZnUUieXzw3Lxn3Sv7MwIajU_W/view?usp=sharing)
###
Link of best Groups
* [LinkedIn: Computer Vision, Deep Learning, Deep Reinforcement Learning, GANs, OpenCV, Caffe, TensorFlow,PyTorch](https://www.linkedin.com/groups/10320678/)
* [Source code](https://gitlab.com/pirahansiah)
* [Facebook : Deep Learning, Computer Vision, Robotics ](https://web.facebook.com/groups/185926728115336/)
* [The link to one-note notebook ](https://1drv.ms/u/s!AhG15hrdT9JOgR5GZgPjve65F-e5)
* [GitHub](https://github.com/pirahansiah)
###
Books
* [The Art of Startup Fundraising](https://www.amazon.de/-/en/Alejandro-Cremades-ebook/dp/B01DQ3GY3Y)
* [Mathematics for Machine Learning](https://mml-book.github.io/)
* Principles of Economics (6th edition)
* The E-Myth Revisited Why Most Small Businesses Don't Work and What to Do About It
* Clean Code: A Handbook of Agile Software Craftsmanship (Robert C. Martin)
* Reinventing Your Life: The Breakthough Program to End Negative Behavior
* Ways Of Thinking: The Limits Of Rational Thought And Artificial Intelligence
* [https://images.kw.com/docs/2/1/2/212345/1285134779158_htwfaip.pdf](https://images.kw.com/docs/2/1/2/212345/1285134779158_htwfaip.pdf)
* * [Computer Vision: Algorithms and Applications](http://szeliski.org/Book/)
* [Multiple View Geometry in Computer Vision Second Edition](https://www.robots.ox.ac.uk/~vgg/hzbook/)
* [Complete to download the latest draft of Machine Learning Yearning](https://www.deeplearning.ai/machine-learning-yearning/)
* Multiple view geometry in computer vision
* Learning OpenCV Book by Adrian Kaehler and Gary Bradski
* Digital Image Processing, Global Edition by Rafael C. Gonzalez
* Introduction to Algorithms, 3rd Edition (The MIT Press)
* The Mythical Man-Month: Essays on Software Engineering
* [OpenCV-4-with-Python-Blueprints-Second-Edition](https://github.com/PacktPublishing/OpenCV-4-with-Python-Blueprints-Second-Edition)
###
Videos
* [https://www.youtube.com/computervisiondeeplearning](https://www.youtube.com/computervisiondeeplearning)
* [Two Minute Papers](https://www.youtube.com/c/K%C3%A1rolyZsolnai/videos)
* [Conference on Pattern Recognition](https://www.gcpr-vmv-vcbm-2020.uni-tuebingen.de/)
* [https://researchseminars.org/?fbclid=IwAR0Ly9WLONBMBteYI7IhlRaMYR_rQR6YrpdxLG_sUxPxGYKQhB0SOTmcjgY](https://researchseminars.org/?fbclid=IwAR0Ly9WLONBMBteYI7IhlRaMYR_rQR6YrpdxLG_sUxPxGYKQhB0SOTmcjgY)
###
Papers
* CALTag: High Precision Fiducial Markers for Camera
* Diatom Autofocusing in Brightfield Microscopy: a Comparative Study
* Analysis of focus measure operators in shape-from-focus
* Optical flow modeling and computation: A survey
* Toward general type 2 fuzzy logic systems based on zSlices
###
Site
* [Research Tools By: Nader Ale Ebrahim](https://www.mindmeister.com/39583892/research-tools-by-nader-ale-ebrahim?t=HMmnzlA4zN) ([MindMap](https://www.mindmeister.com/39583892/research-tools-by-nader-ale-ebrahim?fullscreen=1#))
Reference-
ComputerVisionDeepLearning.pdf
* [https://virgool.io/@r_alimorady/easy-install-cuda-document-hhk6nuylvl1w](https://virgool.io/@r_alimorady/easy-install-cuda-document-hhk6nuylvl1w)
* [https://techcommunity.microsoft.com/t5/azure-ai/introducing-multivariate-anomaly-detection/ba-p/2260679](https://techcommunity.microsoft.com/t5/azure-ai/introducing-multivariate-anomaly-detection/ba-p/2260679)
* [https://www.freertos.org/index.html](https://www.freertos.org/index.html)
* [https://en.wikipedia.org/wiki/Knowledge_distillation](https://en.wikipedia.org/wiki/Knowledge_distillation)
* [https://80000hours.org/2015/10/startup-salaries-and-equity-compensation/](https://80000hours.org/2015/10/startup-salaries-and-equity-compensation/)
* [https://www.thecvf.com/?page_id=413](https://www.thecvf.com/?page_id=413)
* [https://levelup.gitconnected.com/s-o-l-i-d-principles-explained-in-python-with-examples-83b2b43bdcde?gi=a1fee170c917](https://levelup.gitconnected.com/s-o-l-i-d-principles-explained-in-python-with-examples-83b2b43bdcde?gi=a1fee170c917)
* [https://arxiv.org/pdf/2104.13921.pdf](https://arxiv.org/pdf/2104.13921.pdf)
* [https://blog.paperspace.com/object-detection-directed-mask-r-cnn-keras/](https://blog.paperspace.com/object-detection-directed-mask-r-cnn-keras/)
* [https://pub.towardsai.net/will-transformers-replace-cnns-in-computer-vision-55657a196833](https://pub.towardsai.net/will-transformers-replace-cnns-in-computer-vision-55657a196833)
* [https://medium.com/@daviddelaiglesiacastro/3d-point-cloud-generation-from-3d-triangular-mesh-bbb602ecf238](https://medium.com/@daviddelaiglesiacastro/3d-point-cloud-generation-from-3d-triangular-mesh-bbb602ecf238)
*
[https://koinly.io/](https://koinly.io/)
site map: octopus.do
[https://www.startupgermany.nrw/startup-
contest/](https://www.startupgermany.nrw/startup-contest/)
[https://www.kickstarter.com/projects/opencv/opencv-ai-kit-oak-depth-
camera-4k-cv-edge-object-
detection/description](https://www.kickstarter.com/projects/opencv/opencv-ai-
kit-oak-depth-camera-4k-cv-edge-object-detection/description)
[HOW I GAINED 68,000 SUBSCRIBERS IN A YEAR! | My Strategy to Grow on YouTube
in 2021! - YouTube
](https://www.youtube.com/watch?v=bwd1dQr33K8&list=PLxC08P2Oexy2EJKezV02N9cp3-qOEh79Z)
[https://www.youtube.com/watch?v=bwd1dQr33K8&list=PLxC08P2Oexy2EJKezV02N9cp3-qOEh79Z](https://www.youtube.com/watch?v=bwd1dQr33K8&list=PLxC08P2Oexy2EJKezV02N9cp3-qOEh79Z)
[https://www.youtube.com/watch?v=cFdApmqlllg](https://www.youtube.com/watch?v=cFdApmqlllg)
[محمد رضا شجریان، آلبوم کامل در خیال -
YouTube](https://www.youtube.com/watch?v=cFdApmqlllg)
[دوره جامع گوگل آنالیتیکس(UA) |
آنالیتیپس](https://analytips.io/product/google-analyticsua/)
[رادیوگیک - شماره ۱۲۱ - ما این لارادیوگیک - شماره ۱۲۱ - ما این لا -
YouTube](https://www.youtube.com/watch?v=dzBLhio-DIc)
[Social Selling Index | Sales
Navigator](https://www.linkedin.com/sales/ssi?src=or-
search&veh=www.google.com)
[https://rschu.me/list-a-directory-with-tree-command-on-mac-
os-x-3b2d4c4a4827](https://rschu.me/list-a-directory-with-tree-command-on-mac-
os-x-3b2d4c4a4827)
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# Links
pirahansiah, Personal, Roadmap, Books, Online Courses
[](https://drive.google.com/open?id=1ELXvmqcSciCK8-TUVsyVRnYTuxnKta-_xze-
oXQexwY "Open Spreadsheet, Links in new window")
Links
Links from my research and interest
AI in RISC-V
Mixed reality
Old Links
Reference
Link Groups
Top website
Python
Computer Vision
Documents
Business
Tools
Patents
Books
Journal Papers
Conference Papers
Articles on LinkedIn
Slides slideshare
Online Courses
Learning path
Completed
Reference
Link of best Groups
Books
Videos
Papers
Site
Efficient Video Dataset Loading and Augmentation in PyTorch for deep learning
training loops.
GitHub[ https://lnkd.in/gpR8idsp](https://lnkd.in/gpR8idsp)
[https://remmina.org/how-to-install-remmina/](https://remmina.org/how-to-
install-remmina/)
[https://readme.so/](https://readme.so/)
#
Links from my research and interest
[Build Better Generative Adversarial Networks (GANs) - Andrew Ng -
2021](https://www.youtube.com/playlist?list=PLuv1FSpHurUfl44GWqaCzEhGP-aP_-
VnF)
[https://www.oreilly.com/library/view/flow-
architectures/9781492075882/](https://www.oreilly.com/library/view/flow-
architectures/9781492075882/)
##
AI in RISC-V
* [RISC-V hardware & software ecosystem highlights in 2020](https://www.cnx-software.com/2020/12/10/risc-v-hardware-software-ecosystem-highlights-in-2020)
##
Mixed reality
* [https://github.com/MIT-SPARK/Kimera](https://github.com/MIT-SPARK/Kimera)
* Kimera is a C++ library for real-time metric-semantic simultaneous localization and mapping, which uses camera images and inertial data to build a semantically annotated 3D mesh of the environment. Kimera is modular, ROS-enabled, and runs on a CPU.
#
Old Links
###
Reference
[https://drive.google.com/file/d/1xd5TZlEZnUUieXzw3Lxn3Sv7MwIajU_W/view?usp=sharing](https://drive.google.com/file/d/1xd5TZlEZnUUieXzw3Lxn3Sv7MwIajU_W/view?usp=sharing)
###
Link Groups
* [LinkedIn: Computer Vision, Deep Learning, Deep Reinforcement Learning, GANs, OpenCV, Caffe, TensorFlow,PyTorch](https://www.linkedin.com/groups/10320678/)
* [Source code](https://gitlab.com/pirahansiah)
* [Facebook : Deep Learning, Computer Vision, Robotics ](https://web.facebook.com/groups/185926728115336/)
* [The link to one-note notebook ](https://1drv.ms/u/s!AhG15hrdT9JOgR5GZgPjve65F-e5)
* [GitHub](https://github.com/pirahansiah)
###
Top website
* [https://paperswithcode.com/](https://paperswithcode.com/)
* [https://www.learnthepart.com/](https://www.learnthepart.com/)
* [https://hackaday.com/](https://hackaday.com/)
* [https://medium.com/@pirahansiah/timesaver-626019137fa9?sk=cde3334919d6c16ba0964fe021a24762](https://medium.com/@pirahansiah/timesaver-626019137fa9?sk=cde3334919d6c16ba0964fe021a24762)
* hbrew install youtube-dl
* [https://www.masterclass.com/](https://www.masterclass.com/)
* [Deep Learning for coders (2020)](https://www.youtube.com/user/howardjeremyp)
* [Deep Learning for Video](https://mcv-m6-video.github.io/deepvideo-2019/) (Master in Computer Vision Barcelona)
* [Augmented Reality using ArUco Markers in OpenCV (C++ / Python)](https://www.learnopencv.com/augmented-reality-using-aruco-markers-in-opencv-c-python/)
* [https://explainshell.com/](https://explainshell.com/)
* [https://stackoverflow.blog/2020/02/12/when-laziness-is-efficient-make-the-most-of-your-command-line/](https://stackoverflow.blog/2020/02/12/when-laziness-is-efficient-make-the-most-of-your-command-line/?utm_source=Iterable&utm_medium=email&utm_campaign=the_overflow_newsletter&utm_content=02-19-20)
* [https://link.medium.com/XA49Ke0Jt4](https://link.medium.com/XA49Ke0Jt4)
* [https://link.medium.com/Np0YEy1Jt4](https://link.medium.com/Np0YEy1Jt4)
###
Python
* [How to Write Beautiful Python Code With PEP 8](https://realpython.com/python-pep8/)
* [PEP 622 -- Structural Pattern Matching](https://www.python.org/dev/peps/pep-0622/)
* [Monitor Your Dependencies! Stop Being A Blind Data-Scientist.](https://towardsdatascience.com/monitor-your-dependencies-stop-being-a-blind-data-scientist-a3150bd64594)
###
Computer Vision
* [Hybrid CV/DL pipelines with OpenCV 4.4 G-API](https://opencv.org/hybrid-cv-dl-pipelines-with-opencv-4-4-g-api/)
* [PaddleDetection is an end-to-end object detection development kit based on PaddlePaddle, which aims to help developers in the whole development of training models, optimizing performance and inference speed, and deploying models. ](https://github.com/PaddlePaddle/PaddleDetection/blob/release/0.4/README_en.md)
* [https://github.com/google/mediapipe](https://github.com/google/mediapipe)
###
Documents
* [https://book.keybase.io/docs](https://book.keybase.io/docs)
* [kind is a tool for running local Kubernetes clusters using Docker container "nodes".](https://github.com/kubernetes-sigs/kind)
* [FINN is an experimental framework from Xilinx Research Labs to explore deep neural network inference on FPGAs. ](https://xilinx.github.io/finn/)
* [Gitter is a chat and networking platform that helps to manage, grow and connect communities through messaging, content and discovery.](https://gitter.im/)
* [Fair and useful benchmarks for measuring training and inference performance of ML hardware, software, and services.](https://mlperf.org/)
* [https://kepler.gl/demo](https://kepler.gl/demo)
* [Open source, highly available Prometheus setup with long term storage capabilities.](https://thanos.io/)
* [Deep Learning Design Patterns - Jr Data Scientist - Part 3 - Alternative Connectivity Patterns](https://www.youtube.com/watch?v=JI-MButCqUE)
###
Business
* [5 Ways to Make More Money as a Coach or Consultant](https://www.entrepreneur.com/article/283006)
* [https://www.youtube.com/watch?v=njx09wXb9o0&list=PLnhdsL4kFmVYMNq6F8k8UiFkc6fwIdk3o&index=5](https://www.youtube.com/watch?v=njx09wXb9o0&list=PLnhdsL4kFmVYMNq6F8k8UiFkc6fwIdk3o&index=5)
###
Tools
* Free convert video for mac opensource
* [https://github.com/HandBrake/HandBrake](https://github.com/HandBrake/HandBrake)
* [https://handbrake.fr/rotation.php?file=HandBrake-1.3.3.dmg](https://handbrake.fr/rotation.php?file=HandBrake-1.3.3.dmg)
* [global-gitignore.md](https://gist.github.com/subfuzion/db7f57fff2fb6998a16c)
* [https://nextbillion.ai/](https://nextbillion.ai/) Mapping platform built for enterprises
* [https://github.com/ondras/my-mind](https://github.com/ondras/my-mind) MindMap
* [Create and share beautiful images of your source code.](https://carbon.now.sh/)
* [Web IDE](https://replit.com/templates)
* [https://github.com/jely2002/youtube-dl-gui/releases/tag/v2.2.2](https://github.com/jely2002/youtube-dl-gui/releases/tag/v2.2.2)
###
Patents
[https://patents.google.com/?inventor=pirahansiah&oq=pirahansiah](https://patents.google.com/?inventor=pirahansiah&oq=pirahansiah)
1. System and method for providing advertisement contents based on facial analysis (WO2020141969A2)
2. A method for augmenting a plurality of face images (WO2021060971A1)
3. A method for detecting a moving vehicle (WO2021107761A1)
1. System and method for providing advertisement contents based on facial analysis (WO2020141969A2)
The present invention relates to a system (100) for providing advertisement
contents based on facial analysis comprising an image acquisition device (10)
to acquire an image of a user, a face detection module (20) to detect face of
the user in the image, an analysis module (40) to analyse the facial features
statistically using classification models retrieved from a classification
module (30), a database (60) to store matching rules, weighted advertisements
and a plurality of advertisement contents; and a display device (80) to
display the advertisement contents. The system (100) further comprises a
computation module (50) to compute weighted image of the user and a matching
module (70) to match the weighted image of the user with the weighted
advertisement to select an advertisement content based on facial analysis of
the user. A method of providing the advertisement contents based on facial
analysis is also provided thereof.
[https://patentimages.storage.googleapis.com/ff/3f/a5/e7b42ef58d8a03/WO2020141969A2.pdf](https://patentimages.storage.googleapis.com/ff/3f/a5/e7b42ef58d8a03/WO2020141969A2.pdf)
2. A method for augmenting a plurality of face images (WO2021060971A1)
The present invention relates to a method for increasing data for face
analysis in video surveillance. The method comprises the steps of acquiring at
least one face image from an image acquisition module (102), acquiring a
plurality of face images available on the internet using a data input module
(104), increasing face images by at least one data augmentation module (106
and 107), generating a plurality of face images based on a trained Generative
Adversarial Network, GAN technique by using a GAN module, selecting proper
images based on quality of the face images using a fuzzy logic module (111),
saving the selected images into a fifth database, and training the deep
learning module (113).
[https://patentimages.storage.googleapis.com/b8/d9/7f/ea8a5b789e1dad/WO2021060971A1.pdf](https://patentimages.storage.googleapis.com/b8/d9/7f/ea8a5b789e1dad/WO2021060971A1.pdf)
3. A method for detecting a moving vehicle (WO2021107761A1)
The present invention relates to a method for detecting a moving vehicle. The
method comprises the steps of grabbing an initial image from a video stream by
a vehicle detection module (1100), wherein the vehicle detection module (1100)
is a part of a system (1000) to identify moving vehicle, enhancing the
illumination of the initial image by the vehicle detection module (1100),
enhancing the edges within the initial image by the vehicle detection module
(1100), and finding vehicle based on homogenous properties of the body of the
vehicle by the vehicle detection module (1100). The step of finding vehicle
based on homogenous property of the body of the vehicle by the vehicle
detection module (1100) further comprising the sub-steps of closing open
edges, inverting the binary image, segmenting an inverted binary image,
filtering the noise based on geometric feature, and filtering the noise based
on relation.
[https://patentimages.storage.googleapis.com/16/41/83/2576e20c4a0af5/WO2021107761A1.pdf](https://patentimages.storage.googleapis.com/16/41/83/2576e20c4a0af5/WO2021107761A1.pdf)
###
Books
1. [book chapter titled “Camera Calibration and Video Stabilization Framework for Robot Localization” in the Book entitled “Control Engineering in Robotics and Industrial Automation" which will be published (24/07/2021) in Springer. ](https://www.waterstones.com/book/control-engineering-in-robotics-and-industrial-automation/muralindran-mariappan/mohd-rizal-arshad/9783030745394)
2. [book chapter titled “Augmented Optical Flow Methods for Video Stabilization", In Computational Intelligence: from theory to application. (2017) (p18). ](http://www.ukm.my/penerbit/penerbitan-2017/)
###
Journal Papers
* Using An Ant Colony Optimization Algorithm For Image Edge Detection As A Threshold Segmentation For OCR System Journal of Theoretical & Applied Information Technology, 95(21)
* * [http://www.jatit.org/volumes/Vol95No21/1Vol95No21.pdf](http://www.jatit.org/volumes/Vol95No21/1Vol95No21.pdf)
* GSFT-PSNR: Global Single Fuzzy Threshold Based on PSNR for OCR Systems, International Journal of Computer Science and Network Solutions 4(6)
* * [https://www.ijcsns.com/June.2016-Volume.4-No.6/Article01.pdf](https://www.ijcsns.com/June.2016-Volume.4-No.6/Article01.pdf)
* Adaptive Image Thresholding based On the Peak Signal-To-Noise Ratio, Research Journal of Applied Sciences, Engineering and Technology 8(9).
* * [http://www.academia.edu/download/44161592/Adaptive_Image_Thresholding_Based_on_the20160328-31366-1wyb1jc.pdf](http://www.academia.edu/download/44161592/Adaptive_Image_Thresholding_Based_on_the20160328-31366-1wyb1jc.pdf)
* Simultaneous Localization and Mapping Trends and Humanoid Robot Linkages, Asia-Pacific Journal of Information Technology and Multimedia (APJITM)
* * [http://journalarticle.ukm.my/6644/1/4429-10302-1-SM.pdf](http://journalarticle.ukm.my/6644/1/4429-10302-1-SM.pdf)
* Peak Signal-To-Noise Ratio Based On Threshold Method for Image Segmentation, Journal of Theoretical & Applied Information Technology, 57(2)
* * [http://www.jatit.org/volumes/Vol57No2/4Vol57No2.pdf](http://www.jatit.org/volumes/Vol57No2/4Vol57No2.pdf)
* Character recognition based on global feature extraction; Journal of Theoretical and Applied Information Technology 52
* * [http://www.jatit.org/volumes/Vol52No2/6Vol52No2.pdf](http://www.jatit.org/volumes/Vol52No2/6Vol52No2.pdf)
###
Conference Papers
* Pattern Image Significance for Camera Calibration, IEEE Student Conference on Research and Development (SCOReD 2017)
* [http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8305440&isnumber=8305342](http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8305440&isnumber=8305342)
* Augmented optical flow methods for video stabilization. 4th Artificial Intelligence Technology Postgraduate Seminar (CAITPS 2015)
* [http://www.academia.edu/download/45596617/farshid.pdf](http://www.academia.edu/download/45596617/farshid.pdf)
* Auto-Calibration for Multi-Modal Robot Vision based on Image Quality Assessment, The 10th Asian Control Conference (ASCC 2015)
* [https://doi.org/10.1109/ASCC.2015.7360336](https://doi.org/10.1109/ASCC.2015.7360336)
* 2D versus 3D Map for Environment Movement Objects, Second National Doctoral Seminar in Artificial Intelligence Technology (CAIT 2012)
* [http://www.ftsm.ukm.my/cait2012/images/Program%20Schedule%20CAIT2012.pdf](http://www.ftsm.ukm.my/cait2012/images/Program%20Schedule%20CAIT2012.pdf)
* Comparison Single Thresholding Method for Image Segmentation on Handwritten Images, International Conference on Pattern Analysis and Intelligent Robotics
* [https://doi.org/10.1109/ICPAIR.2011.5976918](https://doi.org/10.1109/ICPAIR.2011.5976918)
* License Plate Recognition with Multi-Threshold Based on Entropy, 3rd International Conference on Electrical Engineering and Informatics (ICEEI 2011)
* [https://doi.org/10.1109/ICEEI.2011.6021627](https://doi.org/10.1109/ICEEI.2011.6021627)
* Character recognition based on global feature extraction, 3rd International Conference On Electrical Engineering and Informatics (ICEEI 2011)
* [https://pdfs.semanticscholar.org/2d22/66bfb2f5ba5cb40b5946b82c620dc713d793.pdf](https://pdfs.semanticscholar.org/2d22/66bfb2f5ba5cb40b5946b82c620dc713d793.pdf)
* [https://doi.org/10.1109/ICEEI.2011.6021649](https://doi.org/10.1109/ICEEI.2011.6021649)
* Tafresh Grid: Grid computing in Tafresh university," 2011 IEEE 3rd International Conference on Communication Software and Networks, Xi'an, 2011, pp. 83-85.
* [http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6014009&isnumber=6013532](http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6014009&isnumber=6013532)
* Adaptive image segmentation based on Peak Signal to Noise Ratio for a license plate Recognition system, International Conference on Computer Applications and Industrial Electronics (ICCAIE 2010)
* [https://doi.org/10.1109/ICCAIE.2010.5735125](https://doi.org/10.1109/ICCAIE.2010.5735125)
* [http://www.academia.edu/download/44161592/Adaptive_Image_Thresholding_Based_on_the20160328-31366-1wyb1jc.pdf](http://www.academia.edu/download/44161592/Adaptive_Image_Thresholding_Based_on_the20160328-31366-1wyb1jc.pdf)
* Multi-threshold approach for license plate recognition system, International Conference on Signal and Image Processing WASET ICSIP 2010:1046-1050
* [http://waset.org/publications/3636](http://waset.org/publications/3636)
* An evaluation of classification techniques using enhanced Geometrical Topological Feature Analysis, 2nd Malaysian Joint Conference on Artificial Intelligence (MJCAI 2010)
* [https://scholar.google.com/scholar?oi=bibs&cluster=3038184255311332521&btnI=1&hl=en](https://scholar.google.com/scholar?oi=bibs&cluster=3038184255311332521&btnI=1&hl=en)
###
Articles on LinkedIn
* [ADRL: Advanced Deep Reinforcement Learning {Patents and papers; Main point summary on recently published research on DRL} (draft version Feb 2019) ]([https://www.linkedin.com/pulse/patents-papers-adrl-advanced-deep-reinforcement-feb-pirahansiah-phd/](https://www.linkedin.com/pulse/patents-papers-adrl-advanced-deep-reinforcement-feb-pirahansiah-phd/))
* [The most important research papers for deep learning (updated December, 2017)]([https://www.linkedin.com/pulse/most-important-research-papers-deep-learning-updated-2017-farshid/](https://www.linkedin.com/pulse/most-important-research-papers-deep-learning-updated-2017-farshid/) )
* [List of useful links (Videos, Slides, Articles) for Deep Learning ]([https://www.linkedin.com/pulse/list-useful-links-videos-slides-articles-deep-farshid-pirahansiah/](https://www.linkedin.com/pulse/list-useful-links-videos-slides-articles-deep-farshid-pirahansiah/))
* [Autonomous driving vehicles (Computer Vision, Deep Learning)]([https://www.linkedin.com/pulse/autonomous-driving-vehicles-computer-vision-deep-farshid-pirahansiah-1/](https://www.linkedin.com/pulse/autonomous-driving-vehicles-computer-vision-deep-farshid-pirahansiah-1/)
* [Thresholding]([https://www.linkedin.com/pulse/thresholding-farshid-pirahansiah/](https://www.linkedin.com/pulse/thresholding-farshid-pirahansiah/)
###
Slides slideshare
* Deep Learning for Computer Vision in Ubuntu 19; Part 1 installation [Link]([https://www.slideshare.net/pirahansiah/deep-learning-for-computer-vision-in-ubuntu-19-part-1-installation](https://www.slideshare.net/pirahansiah/deep-learning-for-computer-vision-in-ubuntu-19-part-1-installation)
* Using Deep Learning for Computer Vision Applications [Link]([https://www.slideshare.net/pirahansiah/using-deep-learning-for-computer-vision-applications](https://www.slideshare.net/pirahansiah/using-deep-learning-for-computer-vision-applications) )
* tensorflow1.3 digits6.0 Caffe [Link]([https://www.slideshare.net/pirahansiah/farshid-tensorflow13-digits60caffe](https://www.slideshare.net/pirahansiah/farshid-tensorflow13-digits60caffe) )
* Install TensorFlow 1.2 on macOS Sierra on MacBook (June 2017) [Link]([https://www.slideshare.net/pirahansiah/install-tensorflow-12-on-macos-sierra-on-macbook-june-2017](https://www.slideshare.net/pirahansiah/install-tensorflow-12-on-macos-sierra-on-macbook-june-2017) )
* Best Deep Learning Post from LinkedIn Group [Link]([https://www.slideshare.net/pirahansiah/best-deep-learning-post-from-linkedin-group](https://www.slideshare.net/pirahansiah/best-deep-learning-post-from-linkedin-group) )
* Install, Compile, Setup, Setting OpenCV 3.2, Visual C++ 2015, Win 64bit [Link]([https://www.slideshare.net/pirahansiah/install-compile-setup-setting-opencv-32-visual-c-2015-win-64bit](https://www.slideshare.net/pirahansiah/install-compile-setup-setting-opencv-32-visual-c-2015-win-64bit) )
* Layers in Deep Learning&Caffe layers (model architecture ) [Link]([https://www.slideshare.net/pirahansiah/layers-in-deep-learningcaffe-layers-model-architecture](https://www.slideshare.net/pirahansiah/layers-in-deep-learningcaffe-layers-model-architecture) )
* How to install Digits 5.1 on Ubuntu 14 [Link]([https://www.slideshare.net/pirahansiah/how-to-install-digits-51-on-ubuntu-14](https://www.slideshare.net/pirahansiah/how-to-install-digits-51-on-ubuntu-14) )
* Deep Learning for Video Analysis – part 1 (DeepStream SDK) [NVIDIA TensorRT || NVIDIA GPU Inference Engine (GIE)] [Link]([https://www.slideshare.net/pirahansiah/deep-learning-for-video-analysis-part-1-deepstream-sdk-nvidia-tensorrt-nvidia-gpu-inference-engine-gie](https://www.slideshare.net/pirahansiah/deep-learning-for-video-analysis-part-1-deepstream-sdk-nvidia-tensorrt-nvidia-gpu-inference-engine-gie) )
* Computer Vision, Deep Learning, OpenCV [Link]([https://www.slideshare.net/pirahansiah/computer-vision-deep-learning-opencv](https://www.slideshare.net/pirahansiah/computer-vision-deep-learning-opencv) )
###
Online Courses
* [Writing with Impact ](https://www.linkedin.com/learning/writing-with-impact)
* [Balancing Work and Life ](https://www.linkedin.com/learning/balancing-work-and-life)
* [Finance Foundations: Income Taxes ](https://www.linkedin.com/learning/finance-foundations-income-taxes-2)
* [Starting a Business with Family and Friends ](https://www.linkedin.com/learning/starting-a-business-with-family-and-friends)
* [Finance Essentials for Small Business ](https://www.linkedin.com/learning/finance-essentials-for-small-business)
* [Setting Up Your Small Business as a Legal Entity ](https://www.linkedin.com/learning/setting-up-your-small-business-as-a-legal-entity)
* [Creating a Business Plan ](https://www.linkedin.com/learning/creating-a-business-plan-2)
* [Understanding Business ](https://www.linkedin.com/learning/understanding-business)
* [Entrepreneurship: Finding and Testing Your Business Idea ](https://www.linkedin.com/learning/entrepreneurship-finding-and-testing-your-business-idea)
* [Guy Kawasaki on Entrepreneurship ](https://www.linkedin.com/learning/guy-kawasaki-on-entrepreneurship)
* [Financial Modeling Foundations ](https://www.linkedin.com/learning/financial-modeling-foundations)
* [Financial Accounting Foundations ](https://www.linkedin.com/learning/financial-accounting-foundations)
* [Strategic Planning Foundations ](https://www.linkedin.com/learning/strategic-planning-foundations)
* [5 Personal Finance Tips ](https://www.linkedin.com/learning/5-personal-finance-tips)
* [Investment Evaluation ](https://www.linkedin.com/learning/investment-evaluation)
* [Managing Your Personal Investments ](https://www.linkedin.com/learning/managing-your-personal-investments)
* [Financial Wellness: Managing Personal Cash Flow ](https://www.linkedin.com/learning/financial-wellness-managing-personal-cash-flow)
* [Financial Wellness for Couples and Families ](https://www.linkedin.com/learning/financial-wellness-for-couples-and-families)
* [Managing Your Personal Finances ](https://www.linkedin.com/learning/managing-your-personal-finances)
* [Finance Foundations ](https://www.linkedin.com/learning/finance-foundations-2)
* [Entrepreneurship Foundations ](https://www.linkedin.com/learning/entrepreneurship-foundations-2)
* [Introduction to Deep Learning with OpenCV ](https://www.linkedin.com/learning/introduction-to-deep-learning-with-opencv)
* [OpenCV for Python Developers ](https://www.linkedin.com/learning/opencv-for-python-developers)
* [Brad Feld on Validating Your Startup Idea ](https://www.linkedin.com/learning/brad-feld-on-validating-your-startup-idea)
* [Brad Feld on Raising Capital ](https://www.linkedin.com/learning/brad-feld-on-raising-capital)
* [Take a More Creative Approach to Problem-Solving ](https://www.linkedin.com/learning/take-a-more-creative-approach-to-problem-solving)
* [Professional Networking ](https://www.linkedin.com/learning/professional-networking)
* [Building Relationships While Working from Home ](https://www.linkedin.com/learning/building-relationships-while-working-from-home)
* [Entrepreneurship: Raising Startup Capital ](https://www.linkedin.com/learning/entrepreneurship-raising-startup-capital)
* [Business Analysis Foundations: Business Process Modeling ](https://www.linkedin.com/learning/business-analysis-foundations-business-process-modeling)
* [Communicating with Confidence ](https://www.linkedin.com/learning/communicating-with-confidence)
* [Machine Learning for iOS Developers ](https://www.linkedin.com/learning/machine-learning-for-ios-developers)
###
Learning path
* [Stay Ahead in Personal Finance ](https://www.linkedin.com/learning/paths/stay-ahead-in-personal-finance)
* [Become a Small Business Owner ](https://www.linkedin.com/learning/paths/become-a-small-business-owner)
#
Completed
###
Reference
[https://drive.google.com/file/d/1xd5TZlEZnUUieXzw3Lxn3Sv7MwIajU_W/view?usp=sharing](https://drive.google.com/file/d/1xd5TZlEZnUUieXzw3Lxn3Sv7MwIajU_W/view?usp=sharing)
###
Link of best Groups
* [LinkedIn: Computer Vision, Deep Learning, Deep Reinforcement Learning, GANs, OpenCV, Caffe, TensorFlow,PyTorch](https://www.linkedin.com/groups/10320678/)
* [Source code](https://gitlab.com/pirahansiah)
* [Facebook : Deep Learning, Computer Vision, Robotics ](https://web.facebook.com/groups/185926728115336/)
* [The link to one-note notebook ](https://1drv.ms/u/s!AhG15hrdT9JOgR5GZgPjve65F-e5)
* [GitHub](https://github.com/pirahansiah)
###
Books
* [The Art of Startup Fundraising](https://www.amazon.de/-/en/Alejandro-Cremades-ebook/dp/B01DQ3GY3Y)
* [Mathematics for Machine Learning](https://mml-book.github.io/)
* Principles of Economics (6th edition)
* The E-Myth Revisited Why Most Small Businesses Don't Work and What to Do About It
* Clean Code: A Handbook of Agile Software Craftsmanship (Robert C. Martin)
* Reinventing Your Life: The Breakthough Program to End Negative Behavior
* Ways Of Thinking: The Limits Of Rational Thought And Artificial Intelligence
* [https://images.kw.com/docs/2/1/2/212345/1285134779158_htwfaip.pdf](https://images.kw.com/docs/2/1/2/212345/1285134779158_htwfaip.pdf)
* * [Computer Vision: Algorithms and Applications](http://szeliski.org/Book/)
* [Multiple View Geometry in Computer Vision Second Edition](https://www.robots.ox.ac.uk/~vgg/hzbook/)
* [Complete to download the latest draft of Machine Learning Yearning](https://www.deeplearning.ai/machine-learning-yearning/)
* Multiple view geometry in computer vision
* Learning OpenCV Book by Adrian Kaehler and Gary Bradski
* Digital Image Processing, Global Edition by Rafael C. Gonzalez
* Introduction to Algorithms, 3rd Edition (The MIT Press)
* The Mythical Man-Month: Essays on Software Engineering
* [OpenCV-4-with-Python-Blueprints-Second-Edition](https://github.com/PacktPublishing/OpenCV-4-with-Python-Blueprints-Second-Edition)
###
Videos
* [https://www.youtube.com/computervisiondeeplearning](https://www.youtube.com/computervisiondeeplearning)
* [Two Minute Papers](https://www.youtube.com/c/K%C3%A1rolyZsolnai/videos)
* [Conference on Pattern Recognition](https://www.gcpr-vmv-vcbm-2020.uni-tuebingen.de/)
* [https://researchseminars.org/?fbclid=IwAR0Ly9WLONBMBteYI7IhlRaMYR_rQR6YrpdxLG_sUxPxGYKQhB0SOTmcjgY](https://researchseminars.org/?fbclid=IwAR0Ly9WLONBMBteYI7IhlRaMYR_rQR6YrpdxLG_sUxPxGYKQhB0SOTmcjgY)
###
Papers
* CALTag: High Precision Fiducial Markers for Camera
* Diatom Autofocusing in Brightfield Microscopy: a Comparative Study
* Analysis of focus measure operators in shape-from-focus
* Optical flow modeling and computation: A survey
* Toward general type 2 fuzzy logic systems based on zSlices
###
Site
* [Research Tools By: Nader Ale Ebrahim](https://www.mindmeister.com/39583892/research-tools-by-nader-ale-ebrahim?t=HMmnzlA4zN) ([MindMap](https://www.mindmeister.com/39583892/research-tools-by-nader-ale-ebrahim?fullscreen=1#))
Reference-
ComputerVisionDeepLearning.pdf
* [https://virgool.io/@r_alimorady/easy-install-cuda-document-hhk6nuylvl1w](https://virgool.io/@r_alimorady/easy-install-cuda-document-hhk6nuylvl1w)
* [https://techcommunity.microsoft.com/t5/azure-ai/introducing-multivariate-anomaly-detection/ba-p/2260679](https://techcommunity.microsoft.com/t5/azure-ai/introducing-multivariate-anomaly-detection/ba-p/2260679)
* [https://www.freertos.org/index.html](https://www.freertos.org/index.html)
* [https://en.wikipedia.org/wiki/Knowledge_distillation](https://en.wikipedia.org/wiki/Knowledge_distillation)
* [https://80000hours.org/2015/10/startup-salaries-and-equity-compensation/](https://80000hours.org/2015/10/startup-salaries-and-equity-compensation/)
* [https://www.thecvf.com/?page_id=413](https://www.thecvf.com/?page_id=413)
* [https://levelup.gitconnected.com/s-o-l-i-d-principles-explained-in-python-with-examples-83b2b43bdcde?gi=a1fee170c917](https://levelup.gitconnected.com/s-o-l-i-d-principles-explained-in-python-with-examples-83b2b43bdcde?gi=a1fee170c917)
* [https://arxiv.org/pdf/2104.13921.pdf](https://arxiv.org/pdf/2104.13921.pdf)
* [https://blog.paperspace.com/object-detection-directed-mask-r-cnn-keras/](https://blog.paperspace.com/object-detection-directed-mask-r-cnn-keras/)
* [https://pub.towardsai.net/will-transformers-replace-cnns-in-computer-vision-55657a196833](https://pub.towardsai.net/will-transformers-replace-cnns-in-computer-vision-55657a196833)
* [https://medium.com/@daviddelaiglesiacastro/3d-point-cloud-generation-from-3d-triangular-mesh-bbb602ecf238](https://medium.com/@daviddelaiglesiacastro/3d-point-cloud-generation-from-3d-triangular-mesh-bbb602ecf238)
*
[https://koinly.io/](https://koinly.io/)
site map: octopus.do
[https://www.startupgermany.nrw/startup-
contest/](https://www.startupgermany.nrw/startup-contest/)
[https://www.kickstarter.com/projects/opencv/opencv-ai-kit-oak-depth-
camera-4k-cv-edge-object-
detection/description](https://www.kickstarter.com/projects/opencv/opencv-ai-
kit-oak-depth-camera-4k-cv-edge-object-detection/description)
[HOW I GAINED 68,000 SUBSCRIBERS IN A YEAR! | My Strategy to Grow on YouTube
in 2021! - YouTube
](https://www.youtube.com/watch?v=bwd1dQr33K8&list=PLxC08P2Oexy2EJKezV02N9cp3-qOEh79Z)
[https://www.youtube.com/watch?v=bwd1dQr33K8&list=PLxC08P2Oexy2EJKezV02N9cp3-qOEh79Z](https://www.youtube.com/watch?v=bwd1dQr33K8&list=PLxC08P2Oexy2EJKezV02N9cp3-qOEh79Z)
[https://www.youtube.com/watch?v=cFdApmqlllg](https://www.youtube.com/watch?v=cFdApmqlllg)
[محمد رضا شجریان، آلبوم کامل در خیال -
YouTube](https://www.youtube.com/watch?v=cFdApmqlllg)
[دوره جامع گوگل آنالیتیکس(UA) |
آنالیتیپس](https://analytips.io/product/google-analyticsua/)
[رادیوگیک - شماره ۱۲۱ - ما این لارادیوگیک - شماره ۱۲۱ - ما این لا -
YouTube](https://www.youtube.com/watch?v=dzBLhio-DIc)
[Social Selling Index | Sales
Navigator](https://www.linkedin.com/sales/ssi?src=or-
search&veh=www.google.com)
[https://rschu.me/list-a-directory-with-tree-command-on-mac-
os-x-3b2d4c4a4827](https://rschu.me/list-a-directory-with-tree-command-on-mac-
os-x-3b2d4c4a4827)
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pirahansiah, Personal, Roadmap, Books, Online Courses
[](https://drive.google.com/open?id=1ELXvmqcSciCK8-TUVsyVRnYTuxnKta-_xze-
oXQexwY "Open Spreadsheet, Links in new window")
Links
Links from my research and interest
AI in RISC-V
Mixed reality
Old Links
Reference
Link Groups
Top website
Python
Computer Vision
Documents
Business
Tools
Patents
Books
Journal Papers
Conference Papers
Articles on LinkedIn
Slides slideshare
Online Courses
Learning path
Completed
Reference
Link of best Groups
Books
Videos
Papers
Site
Efficient Video Dataset Loading and Augmentation in PyTorch for deep learning
training loops.
GitHub[ https://lnkd.in/gpR8idsp](https://lnkd.in/gpR8idsp)
[https://remmina.org/how-to-install-remmina/](https://remmina.org/how-to-
install-remmina/)
[https://readme.so/](https://readme.so/)
#
Links from my research and interest
[Build Better Generative Adversarial Networks (GANs) - Andrew Ng -
2021](https://www.youtube.com/playlist?list=PLuv1FSpHurUfl44GWqaCzEhGP-aP_-
VnF)
[https://www.oreilly.com/library/view/flow-
architectures/9781492075882/](https://www.oreilly.com/library/view/flow-
architectures/9781492075882/)
##
AI in RISC-V
* [RISC-V hardware & software ecosystem highlights in 2020](https://www.cnx-software.com/2020/12/10/risc-v-hardware-software-ecosystem-highlights-in-2020)
##
Mixed reality
* [https://github.com/MIT-SPARK/Kimera](https://github.com/MIT-SPARK/Kimera)
* Kimera is a C++ library for real-time metric-semantic simultaneous localization and mapping, which uses camera images and inertial data to build a semantically annotated 3D mesh of the environment. Kimera is modular, ROS-enabled, and runs on a CPU.
#
Old Links
###
Reference
[https://drive.google.com/file/d/1xd5TZlEZnUUieXzw3Lxn3Sv7MwIajU_W/view?usp=sharing](https://drive.google.com/file/d/1xd5TZlEZnUUieXzw3Lxn3Sv7MwIajU_W/view?usp=sharing)
###
Link Groups
* [LinkedIn: Computer Vision, Deep Learning, Deep Reinforcement Learning, GANs, OpenCV, Caffe, TensorFlow,PyTorch](https://www.linkedin.com/groups/10320678/)
* [Source code](https://gitlab.com/pirahansiah)
* [Facebook : Deep Learning, Computer Vision, Robotics ](https://web.facebook.com/groups/185926728115336/)
* [The link to one-note notebook ](https://1drv.ms/u/s!AhG15hrdT9JOgR5GZgPjve65F-e5)
* [GitHub](https://github.com/pirahansiah)
###
Top website
* [https://paperswithcode.com/](https://paperswithcode.com/)
* [https://www.learnthepart.com/](https://www.learnthepart.com/)
* [https://hackaday.com/](https://hackaday.com/)
* [https://medium.com/@pirahansiah/timesaver-626019137fa9?sk=cde3334919d6c16ba0964fe021a24762](https://medium.com/@pirahansiah/timesaver-626019137fa9?sk=cde3334919d6c16ba0964fe021a24762)
* hbrew install youtube-dl
* [https://www.masterclass.com/](https://www.masterclass.com/)
* [Deep Learning for coders (2020)](https://www.youtube.com/user/howardjeremyp)
* [Deep Learning for Video](https://mcv-m6-video.github.io/deepvideo-2019/) (Master in Computer Vision Barcelona)
* [Augmented Reality using ArUco Markers in OpenCV (C++ / Python)](https://www.learnopencv.com/augmented-reality-using-aruco-markers-in-opencv-c-python/)
* [https://explainshell.com/](https://explainshell.com/)
* [https://stackoverflow.blog/2020/02/12/when-laziness-is-efficient-make-the-most-of-your-command-line/](https://stackoverflow.blog/2020/02/12/when-laziness-is-efficient-make-the-most-of-your-command-line/?utm_source=Iterable&utm_medium=email&utm_campaign=the_overflow_newsletter&utm_content=02-19-20)
* [https://link.medium.com/XA49Ke0Jt4](https://link.medium.com/XA49Ke0Jt4)
* [https://link.medium.com/Np0YEy1Jt4](https://link.medium.com/Np0YEy1Jt4)
###
Python
* [How to Write Beautiful Python Code With PEP 8](https://realpython.com/python-pep8/)
* [PEP 622 -- Structural Pattern Matching](https://www.python.org/dev/peps/pep-0622/)
* [Monitor Your Dependencies! Stop Being A Blind Data-Scientist.](https://towardsdatascience.com/monitor-your-dependencies-stop-being-a-blind-data-scientist-a3150bd64594)
###
Computer Vision
* [Hybrid CV/DL pipelines with OpenCV 4.4 G-API](https://opencv.org/hybrid-cv-dl-pipelines-with-opencv-4-4-g-api/)
* [PaddleDetection is an end-to-end object detection development kit based on PaddlePaddle, which aims to help developers in the whole development of training models, optimizing performance and inference speed, and deploying models. ](https://github.com/PaddlePaddle/PaddleDetection/blob/release/0.4/README_en.md)
* [https://github.com/google/mediapipe](https://github.com/google/mediapipe)
###
Documents
* [https://book.keybase.io/docs](https://book.keybase.io/docs)
* [kind is a tool for running local Kubernetes clusters using Docker container "nodes".](https://github.com/kubernetes-sigs/kind)
* [FINN is an experimental framework from Xilinx Research Labs to explore deep neural network inference on FPGAs. ](https://xilinx.github.io/finn/)
* [Gitter is a chat and networking platform that helps to manage, grow and connect communities through messaging, content and discovery.](https://gitter.im/)
* [Fair and useful benchmarks for measuring training and inference performance of ML hardware, software, and services.](https://mlperf.org/)
* [https://kepler.gl/demo](https://kepler.gl/demo)
* [Open source, highly available Prometheus setup with long term storage capabilities.](https://thanos.io/)
* [Deep Learning Design Patterns - Jr Data Scientist - Part 3 - Alternative Connectivity Patterns](https://www.youtube.com/watch?v=JI-MButCqUE)
###
Business
* [5 Ways to Make More Money as a Coach or Consultant](https://www.entrepreneur.com/article/283006)
* [https://www.youtube.com/watch?v=njx09wXb9o0&list=PLnhdsL4kFmVYMNq6F8k8UiFkc6fwIdk3o&index=5](https://www.youtube.com/watch?v=njx09wXb9o0&list=PLnhdsL4kFmVYMNq6F8k8UiFkc6fwIdk3o&index=5)
###
Tools
* Free convert video for mac opensource
* [https://github.com/HandBrake/HandBrake](https://github.com/HandBrake/HandBrake)
* [https://handbrake.fr/rotation.php?file=HandBrake-1.3.3.dmg](https://handbrake.fr/rotation.php?file=HandBrake-1.3.3.dmg)
* [global-gitignore.md](https://gist.github.com/subfuzion/db7f57fff2fb6998a16c)
* [https://nextbillion.ai/](https://nextbillion.ai/) Mapping platform built for enterprises
* [https://github.com/ondras/my-mind](https://github.com/ondras/my-mind) MindMap
* [Create and share beautiful images of your source code.](https://carbon.now.sh/)
* [Web IDE](https://replit.com/templates)
* [https://github.com/jely2002/youtube-dl-gui/releases/tag/v2.2.2](https://github.com/jely2002/youtube-dl-gui/releases/tag/v2.2.2)
###
Patents
[https://patents.google.com/?inventor=pirahansiah&oq=pirahansiah](https://patents.google.com/?inventor=pirahansiah&oq=pirahansiah)
1. System and method for providing advertisement contents based on facial analysis (WO2020141969A2)
2. A method for augmenting a plurality of face images (WO2021060971A1)
3. A method for detecting a moving vehicle (WO2021107761A1)
1. System and method for providing advertisement contents based on facial analysis (WO2020141969A2)
The present invention relates to a system (100) for providing advertisement
contents based on facial analysis comprising an image acquisition device (10)
to acquire an image of a user, a face detection module (20) to detect face of
the user in the image, an analysis module (40) to analyse the facial features
statistically using classification models retrieved from a classification
module (30), a database (60) to store matching rules, weighted advertisements
and a plurality of advertisement contents; and a display device (80) to
display the advertisement contents. The system (100) further comprises a
computation module (50) to compute weighted image of the user and a matching
module (70) to match the weighted image of the user with the weighted
advertisement to select an advertisement content based on facial analysis of
the user. A method of providing the advertisement contents based on facial
analysis is also provided thereof.
[https://patentimages.storage.googleapis.com/ff/3f/a5/e7b42ef58d8a03/WO2020141969A2.pdf](https://patentimages.storage.googleapis.com/ff/3f/a5/e7b42ef58d8a03/WO2020141969A2.pdf)
2. A method for augmenting a plurality of face images (WO2021060971A1)
The present invention relates to a method for increasing data for face
analysis in video surveillance. The method comprises the steps of acquiring at
least one face image from an image acquisition module (102), acquiring a
plurality of face images available on the internet using a data input module
(104), increasing face images by at least one data augmentation module (106
and 107), generating a plurality of face images based on a trained Generative
Adversarial Network, GAN technique by using a GAN module, selecting proper
images based on quality of the face images using a fuzzy logic module (111),
saving the selected images into a fifth database, and training the deep
learning module (113).
[https://patentimages.storage.googleapis.com/b8/d9/7f/ea8a5b789e1dad/WO2021060971A1.pdf](https://patentimages.storage.googleapis.com/b8/d9/7f/ea8a5b789e1dad/WO2021060971A1.pdf)
3. A method for detecting a moving vehicle (WO2021107761A1)
The present invention relates to a method for detecting a moving vehicle. The
method comprises the steps of grabbing an initial image from a video stream by
a vehicle detection module (1100), wherein the vehicle detection module (1100)
is a part of a system (1000) to identify moving vehicle, enhancing the
illumination of the initial image by the vehicle detection module (1100),
enhancing the edges within the initial image by the vehicle detection module
(1100), and finding vehicle based on homogenous properties of the body of the
vehicle by the vehicle detection module (1100). The step of finding vehicle
based on homogenous property of the body of the vehicle by the vehicle
detection module (1100) further comprising the sub-steps of closing open
edges, inverting the binary image, segmenting an inverted binary image,
filtering the noise based on geometric feature, and filtering the noise based
on relation.
[https://patentimages.storage.googleapis.com/16/41/83/2576e20c4a0af5/WO2021107761A1.pdf](https://patentimages.storage.googleapis.com/16/41/83/2576e20c4a0af5/WO2021107761A1.pdf)
###
Books
1. [book chapter titled “Camera Calibration and Video Stabilization Framework for Robot Localization” in the Book entitled “Control Engineering in Robotics and Industrial Automation" which will be published (24/07/2021) in Springer. ](https://www.waterstones.com/book/control-engineering-in-robotics-and-industrial-automation/muralindran-mariappan/mohd-rizal-arshad/9783030745394)
2. [book chapter titled “Augmented Optical Flow Methods for Video Stabilization", In Computational Intelligence: from theory to application. (2017) (p18). ](http://www.ukm.my/penerbit/penerbitan-2017/)
###
Journal Papers
* Using An Ant Colony Optimization Algorithm For Image Edge Detection As A Threshold Segmentation For OCR System Journal of Theoretical & Applied Information Technology, 95(21)
* * [http://www.jatit.org/volumes/Vol95No21/1Vol95No21.pdf](http://www.jatit.org/volumes/Vol95No21/1Vol95No21.pdf)
* GSFT-PSNR: Global Single Fuzzy Threshold Based on PSNR for OCR Systems, International Journal of Computer Science and Network Solutions 4(6)
* * [https://www.ijcsns.com/June.2016-Volume.4-No.6/Article01.pdf](https://www.ijcsns.com/June.2016-Volume.4-No.6/Article01.pdf)
* Adaptive Image Thresholding based On the Peak Signal-To-Noise Ratio, Research Journal of Applied Sciences, Engineering and Technology 8(9).
* * [http://www.academia.edu/download/44161592/Adaptive_Image_Thresholding_Based_on_the20160328-31366-1wyb1jc.pdf](http://www.academia.edu/download/44161592/Adaptive_Image_Thresholding_Based_on_the20160328-31366-1wyb1jc.pdf)
* Simultaneous Localization and Mapping Trends and Humanoid Robot Linkages, Asia-Pacific Journal of Information Technology and Multimedia (APJITM)
* * [http://journalarticle.ukm.my/6644/1/4429-10302-1-SM.pdf](http://journalarticle.ukm.my/6644/1/4429-10302-1-SM.pdf)
* Peak Signal-To-Noise Ratio Based On Threshold Method for Image Segmentation, Journal of Theoretical & Applied Information Technology, 57(2)
* * [http://www.jatit.org/volumes/Vol57No2/4Vol57No2.pdf](http://www.jatit.org/volumes/Vol57No2/4Vol57No2.pdf)
* Character recognition based on global feature extraction; Journal of Theoretical and Applied Information Technology 52
* * [http://www.jatit.org/volumes/Vol52No2/6Vol52No2.pdf](http://www.jatit.org/volumes/Vol52No2/6Vol52No2.pdf)
###
Conference Papers
* Pattern Image Significance for Camera Calibration, IEEE Student Conference on Research and Development (SCOReD 2017)
* [http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8305440&isnumber=8305342](http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8305440&isnumber=8305342)
* Augmented optical flow methods for video stabilization. 4th Artificial Intelligence Technology Postgraduate Seminar (CAITPS 2015)
* [http://www.academia.edu/download/45596617/farshid.pdf](http://www.academia.edu/download/45596617/farshid.pdf)
* Auto-Calibration for Multi-Modal Robot Vision based on Image Quality Assessment, The 10th Asian Control Conference (ASCC 2015)
* [https://doi.org/10.1109/ASCC.2015.7360336](https://doi.org/10.1109/ASCC.2015.7360336)
* 2D versus 3D Map for Environment Movement Objects, Second National Doctoral Seminar in Artificial Intelligence Technology (CAIT 2012)
* [http://www.ftsm.ukm.my/cait2012/images/Program%20Schedule%20CAIT2012.pdf](http://www.ftsm.ukm.my/cait2012/images/Program%20Schedule%20CAIT2012.pdf)
* Comparison Single Thresholding Method for Image Segmentation on Handwritten Images, International Conference on Pattern Analysis and Intelligent Robotics
* [https://doi.org/10.1109/ICPAIR.2011.5976918](https://doi.org/10.1109/ICPAIR.2011.5976918)
* License Plate Recognition with Multi-Threshold Based on Entropy, 3rd International Conference on Electrical Engineering and Informatics (ICEEI 2011)
* [https://doi.org/10.1109/ICEEI.2011.6021627](https://doi.org/10.1109/ICEEI.2011.6021627)
* Character recognition based on global feature extraction, 3rd International Conference On Electrical Engineering and Informatics (ICEEI 2011)
* [https://pdfs.semanticscholar.org/2d22/66bfb2f5ba5cb40b5946b82c620dc713d793.pdf](https://pdfs.semanticscholar.org/2d22/66bfb2f5ba5cb40b5946b82c620dc713d793.pdf)
* [https://doi.org/10.1109/ICEEI.2011.6021649](https://doi.org/10.1109/ICEEI.2011.6021649)
* Tafresh Grid: Grid computing in Tafresh university," 2011 IEEE 3rd International Conference on Communication Software and Networks, Xi'an, 2011, pp. 83-85.
* [http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6014009&isnumber=6013532](http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6014009&isnumber=6013532)
* Adaptive image segmentation based on Peak Signal to Noise Ratio for a license plate Recognition system, International Conference on Computer Applications and Industrial Electronics (ICCAIE 2010)
* [https://doi.org/10.1109/ICCAIE.2010.5735125](https://doi.org/10.1109/ICCAIE.2010.5735125)
* [http://www.academia.edu/download/44161592/Adaptive_Image_Thresholding_Based_on_the20160328-31366-1wyb1jc.pdf](http://www.academia.edu/download/44161592/Adaptive_Image_Thresholding_Based_on_the20160328-31366-1wyb1jc.pdf)
* Multi-threshold approach for license plate recognition system, International Conference on Signal and Image Processing WASET ICSIP 2010:1046-1050
* [http://waset.org/publications/3636](http://waset.org/publications/3636)
* An evaluation of classification techniques using enhanced Geometrical Topological Feature Analysis, 2nd Malaysian Joint Conference on Artificial Intelligence (MJCAI 2010)
* [https://scholar.google.com/scholar?oi=bibs&cluster=3038184255311332521&btnI=1&hl=en](https://scholar.google.com/scholar?oi=bibs&cluster=3038184255311332521&btnI=1&hl=en)
###
Articles on LinkedIn
* [ADRL: Advanced Deep Reinforcement Learning {Patents and papers; Main point summary on recently published research on DRL} (draft version Feb 2019) ]([https://www.linkedin.com/pulse/patents-papers-adrl-advanced-deep-reinforcement-feb-pirahansiah-phd/](https://www.linkedin.com/pulse/patents-papers-adrl-advanced-deep-reinforcement-feb-pirahansiah-phd/))
* [The most important research papers for deep learning (updated December, 2017)]([https://www.linkedin.com/pulse/most-important-research-papers-deep-learning-updated-2017-farshid/](https://www.linkedin.com/pulse/most-important-research-papers-deep-learning-updated-2017-farshid/) )
* [List of useful links (Videos, Slides, Articles) for Deep Learning ]([https://www.linkedin.com/pulse/list-useful-links-videos-slides-articles-deep-farshid-pirahansiah/](https://www.linkedin.com/pulse/list-useful-links-videos-slides-articles-deep-farshid-pirahansiah/))
* [Autonomous driving vehicles (Computer Vision, Deep Learning)]([https://www.linkedin.com/pulse/autonomous-driving-vehicles-computer-vision-deep-farshid-pirahansiah-1/](https://www.linkedin.com/pulse/autonomous-driving-vehicles-computer-vision-deep-farshid-pirahansiah-1/)
* [Thresholding]([https://www.linkedin.com/pulse/thresholding-farshid-pirahansiah/](https://www.linkedin.com/pulse/thresholding-farshid-pirahansiah/)
###
Slides slideshare
* Deep Learning for Computer Vision in Ubuntu 19; Part 1 installation [Link]([https://www.slideshare.net/pirahansiah/deep-learning-for-computer-vision-in-ubuntu-19-part-1-installation](https://www.slideshare.net/pirahansiah/deep-learning-for-computer-vision-in-ubuntu-19-part-1-installation)
* Using Deep Learning for Computer Vision Applications [Link]([https://www.slideshare.net/pirahansiah/using-deep-learning-for-computer-vision-applications](https://www.slideshare.net/pirahansiah/using-deep-learning-for-computer-vision-applications) )
* tensorflow1.3 digits6.0 Caffe [Link]([https://www.slideshare.net/pirahansiah/farshid-tensorflow13-digits60caffe](https://www.slideshare.net/pirahansiah/farshid-tensorflow13-digits60caffe) )
* Install TensorFlow 1.2 on macOS Sierra on MacBook (June 2017) [Link]([https://www.slideshare.net/pirahansiah/install-tensorflow-12-on-macos-sierra-on-macbook-june-2017](https://www.slideshare.net/pirahansiah/install-tensorflow-12-on-macos-sierra-on-macbook-june-2017) )
* Best Deep Learning Post from LinkedIn Group [Link]([https://www.slideshare.net/pirahansiah/best-deep-learning-post-from-linkedin-group](https://www.slideshare.net/pirahansiah/best-deep-learning-post-from-linkedin-group) )
* Install, Compile, Setup, Setting OpenCV 3.2, Visual C++ 2015, Win 64bit [Link]([https://www.slideshare.net/pirahansiah/install-compile-setup-setting-opencv-32-visual-c-2015-win-64bit](https://www.slideshare.net/pirahansiah/install-compile-setup-setting-opencv-32-visual-c-2015-win-64bit) )
* Layers in Deep Learning&Caffe layers (model architecture ) [Link]([https://www.slideshare.net/pirahansiah/layers-in-deep-learningcaffe-layers-model-architecture](https://www.slideshare.net/pirahansiah/layers-in-deep-learningcaffe-layers-model-architecture) )
* How to install Digits 5.1 on Ubuntu 14 [Link]([https://www.slideshare.net/pirahansiah/how-to-install-digits-51-on-ubuntu-14](https://www.slideshare.net/pirahansiah/how-to-install-digits-51-on-ubuntu-14) )
* Deep Learning for Video Analysis – part 1 (DeepStream SDK) [NVIDIA TensorRT || NVIDIA GPU Inference Engine (GIE)] [Link]([https://www.slideshare.net/pirahansiah/deep-learning-for-video-analysis-part-1-deepstream-sdk-nvidia-tensorrt-nvidia-gpu-inference-engine-gie](https://www.slideshare.net/pirahansiah/deep-learning-for-video-analysis-part-1-deepstream-sdk-nvidia-tensorrt-nvidia-gpu-inference-engine-gie) )
* Computer Vision, Deep Learning, OpenCV [Link]([https://www.slideshare.net/pirahansiah/computer-vision-deep-learning-opencv](https://www.slideshare.net/pirahansiah/computer-vision-deep-learning-opencv) )
###
Online Courses
* [Writing with Impact ](https://www.linkedin.com/learning/writing-with-impact)
* [Balancing Work and Life ](https://www.linkedin.com/learning/balancing-work-and-life)
* [Finance Foundations: Income Taxes ](https://www.linkedin.com/learning/finance-foundations-income-taxes-2)
* [Starting a Business with Family and Friends ](https://www.linkedin.com/learning/starting-a-business-with-family-and-friends)
* [Finance Essentials for Small Business ](https://www.linkedin.com/learning/finance-essentials-for-small-business)
* [Setting Up Your Small Business as a Legal Entity ](https://www.linkedin.com/learning/setting-up-your-small-business-as-a-legal-entity)
* [Creating a Business Plan ](https://www.linkedin.com/learning/creating-a-business-plan-2)
* [Understanding Business ](https://www.linkedin.com/learning/understanding-business)
* [Entrepreneurship: Finding and Testing Your Business Idea ](https://www.linkedin.com/learning/entrepreneurship-finding-and-testing-your-business-idea)
* [Guy Kawasaki on Entrepreneurship ](https://www.linkedin.com/learning/guy-kawasaki-on-entrepreneurship)
* [Financial Modeling Foundations ](https://www.linkedin.com/learning/financial-modeling-foundations)
* [Financial Accounting Foundations ](https://www.linkedin.com/learning/financial-accounting-foundations)
* [Strategic Planning Foundations ](https://www.linkedin.com/learning/strategic-planning-foundations)
* [5 Personal Finance Tips ](https://www.linkedin.com/learning/5-personal-finance-tips)
* [Investment Evaluation ](https://www.linkedin.com/learning/investment-evaluation)
* [Managing Your Personal Investments ](https://www.linkedin.com/learning/managing-your-personal-investments)
* [Financial Wellness: Managing Personal Cash Flow ](https://www.linkedin.com/learning/financial-wellness-managing-personal-cash-flow)
* [Financial Wellness for Couples and Families ](https://www.linkedin.com/learning/financial-wellness-for-couples-and-families)
* [Managing Your Personal Finances ](https://www.linkedin.com/learning/managing-your-personal-finances)
* [Finance Foundations ](https://www.linkedin.com/learning/finance-foundations-2)
* [Entrepreneurship Foundations ](https://www.linkedin.com/learning/entrepreneurship-foundations-2)
* [Introduction to Deep Learning with OpenCV ](https://www.linkedin.com/learning/introduction-to-deep-learning-with-opencv)
* [OpenCV for Python Developers ](https://www.linkedin.com/learning/opencv-for-python-developers)
* [Brad Feld on Validating Your Startup Idea ](https://www.linkedin.com/learning/brad-feld-on-validating-your-startup-idea)
* [Brad Feld on Raising Capital ](https://www.linkedin.com/learning/brad-feld-on-raising-capital)
* [Take a More Creative Approach to Problem-Solving ](https://www.linkedin.com/learning/take-a-more-creative-approach-to-problem-solving)
* [Professional Networking ](https://www.linkedin.com/learning/professional-networking)
* [Building Relationships While Working from Home ](https://www.linkedin.com/learning/building-relationships-while-working-from-home)
* [Entrepreneurship: Raising Startup Capital ](https://www.linkedin.com/learning/entrepreneurship-raising-startup-capital)
* [Business Analysis Foundations: Business Process Modeling ](https://www.linkedin.com/learning/business-analysis-foundations-business-process-modeling)
* [Communicating with Confidence ](https://www.linkedin.com/learning/communicating-with-confidence)
* [Machine Learning for iOS Developers ](https://www.linkedin.com/learning/machine-learning-for-ios-developers)
###
Learning path
* [Stay Ahead in Personal Finance ](https://www.linkedin.com/learning/paths/stay-ahead-in-personal-finance)
* [Become a Small Business Owner ](https://www.linkedin.com/learning/paths/become-a-small-business-owner)
#
Completed
###
Reference
[https://drive.google.com/file/d/1xd5TZlEZnUUieXzw3Lxn3Sv7MwIajU_W/view?usp=sharing](https://drive.google.com/file/d/1xd5TZlEZnUUieXzw3Lxn3Sv7MwIajU_W/view?usp=sharing)
###
Link of best Groups
* [LinkedIn: Computer Vision, Deep Learning, Deep Reinforcement Learning, GANs, OpenCV, Caffe, TensorFlow,PyTorch](https://www.linkedin.com/groups/10320678/)
* [Source code](https://gitlab.com/pirahansiah)
* [Facebook : Deep Learning, Computer Vision, Robotics ](https://web.facebook.com/groups/185926728115336/)
* [The link to one-note notebook ](https://1drv.ms/u/s!AhG15hrdT9JOgR5GZgPjve65F-e5)
* [GitHub](https://github.com/pirahansiah)
###
Books
* [The Art of Startup Fundraising](https://www.amazon.de/-/en/Alejandro-Cremades-ebook/dp/B01DQ3GY3Y)
* [Mathematics for Machine Learning](https://mml-book.github.io/)
* Principles of Economics (6th edition)
* The E-Myth Revisited Why Most Small Businesses Don't Work and What to Do About It
* Clean Code: A Handbook of Agile Software Craftsmanship (Robert C. Martin)
* Reinventing Your Life: The Breakthough Program to End Negative Behavior
* Ways Of Thinking: The Limits Of Rational Thought And Artificial Intelligence
* [https://images.kw.com/docs/2/1/2/212345/1285134779158_htwfaip.pdf](https://images.kw.com/docs/2/1/2/212345/1285134779158_htwfaip.pdf)
* * [Computer Vision: Algorithms and Applications](http://szeliski.org/Book/)
* [Multiple View Geometry in Computer Vision Second Edition](https://www.robots.ox.ac.uk/~vgg/hzbook/)
* [Complete to download the latest draft of Machine Learning Yearning](https://www.deeplearning.ai/machine-learning-yearning/)
* Multiple view geometry in computer vision
* Learning OpenCV Book by Adrian Kaehler and Gary Bradski
* Digital Image Processing, Global Edition by Rafael C. Gonzalez
* Introduction to Algorithms, 3rd Edition (The MIT Press)
* The Mythical Man-Month: Essays on Software Engineering
* [OpenCV-4-with-Python-Blueprints-Second-Edition](https://github.com/PacktPublishing/OpenCV-4-with-Python-Blueprints-Second-Edition)
###
Videos
* [https://www.youtube.com/computervisiondeeplearning](https://www.youtube.com/computervisiondeeplearning)
* [Two Minute Papers](https://www.youtube.com/c/K%C3%A1rolyZsolnai/videos)
* [Conference on Pattern Recognition](https://www.gcpr-vmv-vcbm-2020.uni-tuebingen.de/)
* [https://researchseminars.org/?fbclid=IwAR0Ly9WLONBMBteYI7IhlRaMYR_rQR6YrpdxLG_sUxPxGYKQhB0SOTmcjgY](https://researchseminars.org/?fbclid=IwAR0Ly9WLONBMBteYI7IhlRaMYR_rQR6YrpdxLG_sUxPxGYKQhB0SOTmcjgY)
###
Papers
* CALTag: High Precision Fiducial Markers for Camera
* Diatom Autofocusing in Brightfield Microscopy: a Comparative Study
* Analysis of focus measure operators in shape-from-focus
* Optical flow modeling and computation: A survey
* Toward general type 2 fuzzy logic systems based on zSlices
###
Site
* [Research Tools By: Nader Ale Ebrahim](https://www.mindmeister.com/39583892/research-tools-by-nader-ale-ebrahim?t=HMmnzlA4zN) ([MindMap](https://www.mindmeister.com/39583892/research-tools-by-nader-ale-ebrahim?fullscreen=1#))
Reference-
ComputerVisionDeepLearning.pdf
* [https://virgool.io/@r_alimorady/easy-install-cuda-document-hhk6nuylvl1w](https://virgool.io/@r_alimorady/easy-install-cuda-document-hhk6nuylvl1w)
* [https://techcommunity.microsoft.com/t5/azure-ai/introducing-multivariate-anomaly-detection/ba-p/2260679](https://techcommunity.microsoft.com/t5/azure-ai/introducing-multivariate-anomaly-detection/ba-p/2260679)
* [https://www.freertos.org/index.html](https://www.freertos.org/index.html)
* [https://en.wikipedia.org/wiki/Knowledge_distillation](https://en.wikipedia.org/wiki/Knowledge_distillation)
* [https://80000hours.org/2015/10/startup-salaries-and-equity-compensation/](https://80000hours.org/2015/10/startup-salaries-and-equity-compensation/)
* [https://www.thecvf.com/?page_id=413](https://www.thecvf.com/?page_id=413)
* [https://levelup.gitconnected.com/s-o-l-i-d-principles-explained-in-python-with-examples-83b2b43bdcde?gi=a1fee170c917](https://levelup.gitconnected.com/s-o-l-i-d-principles-explained-in-python-with-examples-83b2b43bdcde?gi=a1fee170c917)
* [https://arxiv.org/pdf/2104.13921.pdf](https://arxiv.org/pdf/2104.13921.pdf)
* [https://blog.paperspace.com/object-detection-directed-mask-r-cnn-keras/](https://blog.paperspace.com/object-detection-directed-mask-r-cnn-keras/)
* [https://pub.towardsai.net/will-transformers-replace-cnns-in-computer-vision-55657a196833](https://pub.towardsai.net/will-transformers-replace-cnns-in-computer-vision-55657a196833)
* [https://medium.com/@daviddelaiglesiacastro/3d-point-cloud-generation-from-3d-triangular-mesh-bbb602ecf238](https://medium.com/@daviddelaiglesiacastro/3d-point-cloud-generation-from-3d-triangular-mesh-bbb602ecf238)
*
[https://koinly.io/](https://koinly.io/)
site map: octopus.do
[https://www.startupgermany.nrw/startup-
contest/](https://www.startupgermany.nrw/startup-contest/)
[https://www.kickstarter.com/projects/opencv/opencv-ai-kit-oak-depth-
camera-4k-cv-edge-object-
detection/description](https://www.kickstarter.com/projects/opencv/opencv-ai-
kit-oak-depth-camera-4k-cv-edge-object-detection/description)
[HOW I GAINED 68,000 SUBSCRIBERS IN A YEAR! | My Strategy to Grow on YouTube
in 2021! - YouTube
](https://www.youtube.com/watch?v=bwd1dQr33K8&list=PLxC08P2Oexy2EJKezV02N9cp3-qOEh79Z)
[https://www.youtube.com/watch?v=bwd1dQr33K8&list=PLxC08P2Oexy2EJKezV02N9cp3-qOEh79Z](https://www.youtube.com/watch?v=bwd1dQr33K8&list=PLxC08P2Oexy2EJKezV02N9cp3-qOEh79Z)
[https://www.youtube.com/watch?v=cFdApmqlllg](https://www.youtube.com/watch?v=cFdApmqlllg)
[محمد رضا شجریان، آلبوم کامل در خیال -
YouTube](https://www.youtube.com/watch?v=cFdApmqlllg)
[دوره جامع گوگل آنالیتیکس(UA) |
آنالیتیپس](https://analytips.io/product/google-analyticsua/)
[رادیوگیک - شماره ۱۲۱ - ما این لارادیوگیک - شماره ۱۲۱ - ما این لا -
YouTube](https://www.youtube.com/watch?v=dzBLhio-DIc)
[Social Selling Index | Sales
Navigator](https://www.linkedin.com/sales/ssi?src=or-
search&veh=www.google.com)
[https://rschu.me/list-a-directory-with-tree-command-on-mac-
os-x-3b2d4c4a4827](https://rschu.me/list-a-directory-with-tree-command-on-mac-
os-x-3b2d4c4a4827)
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# Links
pirahansiah, Personal, Roadmap, Books, Online Courses
[](https://drive.google.com/open?id=1ELXvmqcSciCK8-TUVsyVRnYTuxnKta-_xze-
oXQexwY "Open Spreadsheet, Links in new window")
Links
Links from my research and interest
AI in RISC-V
Mixed reality
Old Links
Reference
Link Groups
Top website
Python
Computer Vision
Documents
Business
Tools
Patents
Books
Journal Papers
Conference Papers
Articles on LinkedIn
Slides slideshare
Online Courses
Learning path
Completed
Reference
Link of best Groups
Books
Videos
Papers
Site
Efficient Video Dataset Loading and Augmentation in PyTorch for deep learning
training loops.
GitHub[ https://lnkd.in/gpR8idsp](https://lnkd.in/gpR8idsp)
[https://remmina.org/how-to-install-remmina/](https://remmina.org/how-to-
install-remmina/)
[https://readme.so/](https://readme.so/)
#
Links from my research and interest
[Build Better Generative Adversarial Networks (GANs) - Andrew Ng -
2021](https://www.youtube.com/playlist?list=PLuv1FSpHurUfl44GWqaCzEhGP-aP_-
VnF)
[https://www.oreilly.com/library/view/flow-
architectures/9781492075882/](https://www.oreilly.com/library/view/flow-
architectures/9781492075882/)
##
AI in RISC-V
* [RISC-V hardware & software ecosystem highlights in 2020](https://www.cnx-software.com/2020/12/10/risc-v-hardware-software-ecosystem-highlights-in-2020)
##
Mixed reality
* [https://github.com/MIT-SPARK/Kimera](https://github.com/MIT-SPARK/Kimera)
* Kimera is a C++ library for real-time metric-semantic simultaneous localization and mapping, which uses camera images and inertial data to build a semantically annotated 3D mesh of the environment. Kimera is modular, ROS-enabled, and runs on a CPU.
#
Old Links
###
Reference
[https://drive.google.com/file/d/1xd5TZlEZnUUieXzw3Lxn3Sv7MwIajU_W/view?usp=sharing](https://drive.google.com/file/d/1xd5TZlEZnUUieXzw3Lxn3Sv7MwIajU_W/view?usp=sharing)
###
Link Groups
* [LinkedIn: Computer Vision, Deep Learning, Deep Reinforcement Learning, GANs, OpenCV, Caffe, TensorFlow,PyTorch](https://www.linkedin.com/groups/10320678/)
* [Source code](https://gitlab.com/pirahansiah)
* [Facebook : Deep Learning, Computer Vision, Robotics ](https://web.facebook.com/groups/185926728115336/)
* [The link to one-note notebook ](https://1drv.ms/u/s!AhG15hrdT9JOgR5GZgPjve65F-e5)
* [GitHub](https://github.com/pirahansiah)
###
Top website
* [https://paperswithcode.com/](https://paperswithcode.com/)
* [https://www.learnthepart.com/](https://www.learnthepart.com/)
* [https://hackaday.com/](https://hackaday.com/)
* [https://medium.com/@pirahansiah/timesaver-626019137fa9?sk=cde3334919d6c16ba0964fe021a24762](https://medium.com/@pirahansiah/timesaver-626019137fa9?sk=cde3334919d6c16ba0964fe021a24762)
* hbrew install youtube-dl
* [https://www.masterclass.com/](https://www.masterclass.com/)
* [Deep Learning for coders (2020)](https://www.youtube.com/user/howardjeremyp)
* [Deep Learning for Video](https://mcv-m6-video.github.io/deepvideo-2019/) (Master in Computer Vision Barcelona)
* [Augmented Reality using ArUco Markers in OpenCV (C++ / Python)](https://www.learnopencv.com/augmented-reality-using-aruco-markers-in-opencv-c-python/)
* [https://explainshell.com/](https://explainshell.com/)
* [https://stackoverflow.blog/2020/02/12/when-laziness-is-efficient-make-the-most-of-your-command-line/](https://stackoverflow.blog/2020/02/12/when-laziness-is-efficient-make-the-most-of-your-command-line/?utm_source=Iterable&utm_medium=email&utm_campaign=the_overflow_newsletter&utm_content=02-19-20)
* [https://link.medium.com/XA49Ke0Jt4](https://link.medium.com/XA49Ke0Jt4)
* [https://link.medium.com/Np0YEy1Jt4](https://link.medium.com/Np0YEy1Jt4)
###
Python
* [How to Write Beautiful Python Code With PEP 8](https://realpython.com/python-pep8/)
* [PEP 622 -- Structural Pattern Matching](https://www.python.org/dev/peps/pep-0622/)
* [Monitor Your Dependencies! Stop Being A Blind Data-Scientist.](https://towardsdatascience.com/monitor-your-dependencies-stop-being-a-blind-data-scientist-a3150bd64594)
###
Computer Vision
* [Hybrid CV/DL pipelines with OpenCV 4.4 G-API](https://opencv.org/hybrid-cv-dl-pipelines-with-opencv-4-4-g-api/)
* [PaddleDetection is an end-to-end object detection development kit based on PaddlePaddle, which aims to help developers in the whole development of training models, optimizing performance and inference speed, and deploying models. ](https://github.com/PaddlePaddle/PaddleDetection/blob/release/0.4/README_en.md)
* [https://github.com/google/mediapipe](https://github.com/google/mediapipe)
###
Documents
* [https://book.keybase.io/docs](https://book.keybase.io/docs)
* [kind is a tool for running local Kubernetes clusters using Docker container "nodes".](https://github.com/kubernetes-sigs/kind)
* [FINN is an experimental framework from Xilinx Research Labs to explore deep neural network inference on FPGAs. ](https://xilinx.github.io/finn/)
* [Gitter is a chat and networking platform that helps to manage, grow and connect communities through messaging, content and discovery.](https://gitter.im/)
* [Fair and useful benchmarks for measuring training and inference performance of ML hardware, software, and services.](https://mlperf.org/)
* [https://kepler.gl/demo](https://kepler.gl/demo)
* [Open source, highly available Prometheus setup with long term storage capabilities.](https://thanos.io/)
* [Deep Learning Design Patterns - Jr Data Scientist - Part 3 - Alternative Connectivity Patterns](https://www.youtube.com/watch?v=JI-MButCqUE)
###
Business
* [5 Ways to Make More Money as a Coach or Consultant](https://www.entrepreneur.com/article/283006)
* [https://www.youtube.com/watch?v=njx09wXb9o0&list=PLnhdsL4kFmVYMNq6F8k8UiFkc6fwIdk3o&index=5](https://www.youtube.com/watch?v=njx09wXb9o0&list=PLnhdsL4kFmVYMNq6F8k8UiFkc6fwIdk3o&index=5)
###
Tools
* Free convert video for mac opensource
* [https://github.com/HandBrake/HandBrake](https://github.com/HandBrake/HandBrake)
* [https://handbrake.fr/rotation.php?file=HandBrake-1.3.3.dmg](https://handbrake.fr/rotation.php?file=HandBrake-1.3.3.dmg)
* [global-gitignore.md](https://gist.github.com/subfuzion/db7f57fff2fb6998a16c)
* [https://nextbillion.ai/](https://nextbillion.ai/) Mapping platform built for enterprises
* [https://github.com/ondras/my-mind](https://github.com/ondras/my-mind) MindMap
* [Create and share beautiful images of your source code.](https://carbon.now.sh/)
* [Web IDE](https://replit.com/templates)
* [https://github.com/jely2002/youtube-dl-gui/releases/tag/v2.2.2](https://github.com/jely2002/youtube-dl-gui/releases/tag/v2.2.2)
###
Patents
[https://patents.google.com/?inventor=pirahansiah&oq=pirahansiah](https://patents.google.com/?inventor=pirahansiah&oq=pirahansiah)
1. System and method for providing advertisement contents based on facial analysis (WO2020141969A2)
2. A method for augmenting a plurality of face images (WO2021060971A1)
3. A method for detecting a moving vehicle (WO2021107761A1)
1. System and method for providing advertisement contents based on facial analysis (WO2020141969A2)
The present invention relates to a system (100) for providing advertisement
contents based on facial analysis comprising an image acquisition device (10)
to acquire an image of a user, a face detection module (20) to detect face of
the user in the image, an analysis module (40) to analyse the facial features
statistically using classification models retrieved from a classification
module (30), a database (60) to store matching rules, weighted advertisements
and a plurality of advertisement contents; and a display device (80) to
display the advertisement contents. The system (100) further comprises a
computation module (50) to compute weighted image of the user and a matching
module (70) to match the weighted image of the user with the weighted
advertisement to select an advertisement content based on facial analysis of
the user. A method of providing the advertisement contents based on facial
analysis is also provided thereof.
[https://patentimages.storage.googleapis.com/ff/3f/a5/e7b42ef58d8a03/WO2020141969A2.pdf](https://patentimages.storage.googleapis.com/ff/3f/a5/e7b42ef58d8a03/WO2020141969A2.pdf)
2. A method for augmenting a plurality of face images (WO2021060971A1)
The present invention relates to a method for increasing data for face
analysis in video surveillance. The method comprises the steps of acquiring at
least one face image from an image acquisition module (102), acquiring a
plurality of face images available on the internet using a data input module
(104), increasing face images by at least one data augmentation module (106
and 107), generating a plurality of face images based on a trained Generative
Adversarial Network, GAN technique by using a GAN module, selecting proper
images based on quality of the face images using a fuzzy logic module (111),
saving the selected images into a fifth database, and training the deep
learning module (113).
[https://patentimages.storage.googleapis.com/b8/d9/7f/ea8a5b789e1dad/WO2021060971A1.pdf](https://patentimages.storage.googleapis.com/b8/d9/7f/ea8a5b789e1dad/WO2021060971A1.pdf)
3. A method for detecting a moving vehicle (WO2021107761A1)
The present invention relates to a method for detecting a moving vehicle. The
method comprises the steps of grabbing an initial image from a video stream by
a vehicle detection module (1100), wherein the vehicle detection module (1100)
is a part of a system (1000) to identify moving vehicle, enhancing the
illumination of the initial image by the vehicle detection module (1100),
enhancing the edges within the initial image by the vehicle detection module
(1100), and finding vehicle based on homogenous properties of the body of the
vehicle by the vehicle detection module (1100). The step of finding vehicle
based on homogenous property of the body of the vehicle by the vehicle
detection module (1100) further comprising the sub-steps of closing open
edges, inverting the binary image, segmenting an inverted binary image,
filtering the noise based on geometric feature, and filtering the noise based
on relation.
[https://patentimages.storage.googleapis.com/16/41/83/2576e20c4a0af5/WO2021107761A1.pdf](https://patentimages.storage.googleapis.com/16/41/83/2576e20c4a0af5/WO2021107761A1.pdf)
###
Books
1. [book chapter titled “Camera Calibration and Video Stabilization Framework for Robot Localization” in the Book entitled “Control Engineering in Robotics and Industrial Automation" which will be published (24/07/2021) in Springer. ](https://www.waterstones.com/book/control-engineering-in-robotics-and-industrial-automation/muralindran-mariappan/mohd-rizal-arshad/9783030745394)
2. [book chapter titled “Augmented Optical Flow Methods for Video Stabilization", In Computational Intelligence: from theory to application. (2017) (p18). ](http://www.ukm.my/penerbit/penerbitan-2017/)
###
Journal Papers
* Using An Ant Colony Optimization Algorithm For Image Edge Detection As A Threshold Segmentation For OCR System Journal of Theoretical & Applied Information Technology, 95(21)
* * [http://www.jatit.org/volumes/Vol95No21/1Vol95No21.pdf](http://www.jatit.org/volumes/Vol95No21/1Vol95No21.pdf)
* GSFT-PSNR: Global Single Fuzzy Threshold Based on PSNR for OCR Systems, International Journal of Computer Science and Network Solutions 4(6)
* * [https://www.ijcsns.com/June.2016-Volume.4-No.6/Article01.pdf](https://www.ijcsns.com/June.2016-Volume.4-No.6/Article01.pdf)
* Adaptive Image Thresholding based On the Peak Signal-To-Noise Ratio, Research Journal of Applied Sciences, Engineering and Technology 8(9).
* * [http://www.academia.edu/download/44161592/Adaptive_Image_Thresholding_Based_on_the20160328-31366-1wyb1jc.pdf](http://www.academia.edu/download/44161592/Adaptive_Image_Thresholding_Based_on_the20160328-31366-1wyb1jc.pdf)
* Simultaneous Localization and Mapping Trends and Humanoid Robot Linkages, Asia-Pacific Journal of Information Technology and Multimedia (APJITM)
* * [http://journalarticle.ukm.my/6644/1/4429-10302-1-SM.pdf](http://journalarticle.ukm.my/6644/1/4429-10302-1-SM.pdf)
* Peak Signal-To-Noise Ratio Based On Threshold Method for Image Segmentation, Journal of Theoretical & Applied Information Technology, 57(2)
* * [http://www.jatit.org/volumes/Vol57No2/4Vol57No2.pdf](http://www.jatit.org/volumes/Vol57No2/4Vol57No2.pdf)
* Character recognition based on global feature extraction; Journal of Theoretical and Applied Information Technology 52
* * [http://www.jatit.org/volumes/Vol52No2/6Vol52No2.pdf](http://www.jatit.org/volumes/Vol52No2/6Vol52No2.pdf)
###
Conference Papers
* Pattern Image Significance for Camera Calibration, IEEE Student Conference on Research and Development (SCOReD 2017)
* [http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8305440&isnumber=8305342](http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8305440&isnumber=8305342)
* Augmented optical flow methods for video stabilization. 4th Artificial Intelligence Technology Postgraduate Seminar (CAITPS 2015)
* [http://www.academia.edu/download/45596617/farshid.pdf](http://www.academia.edu/download/45596617/farshid.pdf)
* Auto-Calibration for Multi-Modal Robot Vision based on Image Quality Assessment, The 10th Asian Control Conference (ASCC 2015)
* [https://doi.org/10.1109/ASCC.2015.7360336](https://doi.org/10.1109/ASCC.2015.7360336)
* 2D versus 3D Map for Environment Movement Objects, Second National Doctoral Seminar in Artificial Intelligence Technology (CAIT 2012)
* [http://www.ftsm.ukm.my/cait2012/images/Program%20Schedule%20CAIT2012.pdf](http://www.ftsm.ukm.my/cait2012/images/Program%20Schedule%20CAIT2012.pdf)
* Comparison Single Thresholding Method for Image Segmentation on Handwritten Images, International Conference on Pattern Analysis and Intelligent Robotics
* [https://doi.org/10.1109/ICPAIR.2011.5976918](https://doi.org/10.1109/ICPAIR.2011.5976918)
* License Plate Recognition with Multi-Threshold Based on Entropy, 3rd International Conference on Electrical Engineering and Informatics (ICEEI 2011)
* [https://doi.org/10.1109/ICEEI.2011.6021627](https://doi.org/10.1109/ICEEI.2011.6021627)
* Character recognition based on global feature extraction, 3rd International Conference On Electrical Engineering and Informatics (ICEEI 2011)
* [https://pdfs.semanticscholar.org/2d22/66bfb2f5ba5cb40b5946b82c620dc713d793.pdf](https://pdfs.semanticscholar.org/2d22/66bfb2f5ba5cb40b5946b82c620dc713d793.pdf)
* [https://doi.org/10.1109/ICEEI.2011.6021649](https://doi.org/10.1109/ICEEI.2011.6021649)
* Tafresh Grid: Grid computing in Tafresh university," 2011 IEEE 3rd International Conference on Communication Software and Networks, Xi'an, 2011, pp. 83-85.
* [http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6014009&isnumber=6013532](http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6014009&isnumber=6013532)
* Adaptive image segmentation based on Peak Signal to Noise Ratio for a license plate Recognition system, International Conference on Computer Applications and Industrial Electronics (ICCAIE 2010)
* [https://doi.org/10.1109/ICCAIE.2010.5735125](https://doi.org/10.1109/ICCAIE.2010.5735125)
* [http://www.academia.edu/download/44161592/Adaptive_Image_Thresholding_Based_on_the20160328-31366-1wyb1jc.pdf](http://www.academia.edu/download/44161592/Adaptive_Image_Thresholding_Based_on_the20160328-31366-1wyb1jc.pdf)
* Multi-threshold approach for license plate recognition system, International Conference on Signal and Image Processing WASET ICSIP 2010:1046-1050
* [http://waset.org/publications/3636](http://waset.org/publications/3636)
* An evaluation of classification techniques using enhanced Geometrical Topological Feature Analysis, 2nd Malaysian Joint Conference on Artificial Intelligence (MJCAI 2010)
* [https://scholar.google.com/scholar?oi=bibs&cluster=3038184255311332521&btnI=1&hl=en](https://scholar.google.com/scholar?oi=bibs&cluster=3038184255311332521&btnI=1&hl=en)
###
Articles on LinkedIn
* [ADRL: Advanced Deep Reinforcement Learning {Patents and papers; Main point summary on recently published research on DRL} (draft version Feb 2019) ]([https://www.linkedin.com/pulse/patents-papers-adrl-advanced-deep-reinforcement-feb-pirahansiah-phd/](https://www.linkedin.com/pulse/patents-papers-adrl-advanced-deep-reinforcement-feb-pirahansiah-phd/))
* [The most important research papers for deep learning (updated December, 2017)]([https://www.linkedin.com/pulse/most-important-research-papers-deep-learning-updated-2017-farshid/](https://www.linkedin.com/pulse/most-important-research-papers-deep-learning-updated-2017-farshid/) )
* [List of useful links (Videos, Slides, Articles) for Deep Learning ]([https://www.linkedin.com/pulse/list-useful-links-videos-slides-articles-deep-farshid-pirahansiah/](https://www.linkedin.com/pulse/list-useful-links-videos-slides-articles-deep-farshid-pirahansiah/))
* [Autonomous driving vehicles (Computer Vision, Deep Learning)]([https://www.linkedin.com/pulse/autonomous-driving-vehicles-computer-vision-deep-farshid-pirahansiah-1/](https://www.linkedin.com/pulse/autonomous-driving-vehicles-computer-vision-deep-farshid-pirahansiah-1/)
* [Thresholding]([https://www.linkedin.com/pulse/thresholding-farshid-pirahansiah/](https://www.linkedin.com/pulse/thresholding-farshid-pirahansiah/)
###
Slides slideshare
* Deep Learning for Computer Vision in Ubuntu 19; Part 1 installation [Link]([https://www.slideshare.net/pirahansiah/deep-learning-for-computer-vision-in-ubuntu-19-part-1-installation](https://www.slideshare.net/pirahansiah/deep-learning-for-computer-vision-in-ubuntu-19-part-1-installation)
* Using Deep Learning for Computer Vision Applications [Link]([https://www.slideshare.net/pirahansiah/using-deep-learning-for-computer-vision-applications](https://www.slideshare.net/pirahansiah/using-deep-learning-for-computer-vision-applications) )
* tensorflow1.3 digits6.0 Caffe [Link]([https://www.slideshare.net/pirahansiah/farshid-tensorflow13-digits60caffe](https://www.slideshare.net/pirahansiah/farshid-tensorflow13-digits60caffe) )
* Install TensorFlow 1.2 on macOS Sierra on MacBook (June 2017) [Link]([https://www.slideshare.net/pirahansiah/install-tensorflow-12-on-macos-sierra-on-macbook-june-2017](https://www.slideshare.net/pirahansiah/install-tensorflow-12-on-macos-sierra-on-macbook-june-2017) )
* Best Deep Learning Post from LinkedIn Group [Link]([https://www.slideshare.net/pirahansiah/best-deep-learning-post-from-linkedin-group](https://www.slideshare.net/pirahansiah/best-deep-learning-post-from-linkedin-group) )
* Install, Compile, Setup, Setting OpenCV 3.2, Visual C++ 2015, Win 64bit [Link]([https://www.slideshare.net/pirahansiah/install-compile-setup-setting-opencv-32-visual-c-2015-win-64bit](https://www.slideshare.net/pirahansiah/install-compile-setup-setting-opencv-32-visual-c-2015-win-64bit) )
* Layers in Deep Learning&Caffe layers (model architecture ) [Link]([https://www.slideshare.net/pirahansiah/layers-in-deep-learningcaffe-layers-model-architecture](https://www.slideshare.net/pirahansiah/layers-in-deep-learningcaffe-layers-model-architecture) )
* How to install Digits 5.1 on Ubuntu 14 [Link]([https://www.slideshare.net/pirahansiah/how-to-install-digits-51-on-ubuntu-14](https://www.slideshare.net/pirahansiah/how-to-install-digits-51-on-ubuntu-14) )
* Deep Learning for Video Analysis – part 1 (DeepStream SDK) [NVIDIA TensorRT || NVIDIA GPU Inference Engine (GIE)] [Link]([https://www.slideshare.net/pirahansiah/deep-learning-for-video-analysis-part-1-deepstream-sdk-nvidia-tensorrt-nvidia-gpu-inference-engine-gie](https://www.slideshare.net/pirahansiah/deep-learning-for-video-analysis-part-1-deepstream-sdk-nvidia-tensorrt-nvidia-gpu-inference-engine-gie) )
* Computer Vision, Deep Learning, OpenCV [Link]([https://www.slideshare.net/pirahansiah/computer-vision-deep-learning-opencv](https://www.slideshare.net/pirahansiah/computer-vision-deep-learning-opencv) )
###
Online Courses
* [Writing with Impact ](https://www.linkedin.com/learning/writing-with-impact)
* [Balancing Work and Life ](https://www.linkedin.com/learning/balancing-work-and-life)
* [Finance Foundations: Income Taxes ](https://www.linkedin.com/learning/finance-foundations-income-taxes-2)
* [Starting a Business with Family and Friends ](https://www.linkedin.com/learning/starting-a-business-with-family-and-friends)
* [Finance Essentials for Small Business ](https://www.linkedin.com/learning/finance-essentials-for-small-business)
* [Setting Up Your Small Business as a Legal Entity ](https://www.linkedin.com/learning/setting-up-your-small-business-as-a-legal-entity)
* [Creating a Business Plan ](https://www.linkedin.com/learning/creating-a-business-plan-2)
* [Understanding Business ](https://www.linkedin.com/learning/understanding-business)
* [Entrepreneurship: Finding and Testing Your Business Idea ](https://www.linkedin.com/learning/entrepreneurship-finding-and-testing-your-business-idea)
* [Guy Kawasaki on Entrepreneurship ](https://www.linkedin.com/learning/guy-kawasaki-on-entrepreneurship)
* [Financial Modeling Foundations ](https://www.linkedin.com/learning/financial-modeling-foundations)
* [Financial Accounting Foundations ](https://www.linkedin.com/learning/financial-accounting-foundations)
* [Strategic Planning Foundations ](https://www.linkedin.com/learning/strategic-planning-foundations)
* [5 Personal Finance Tips ](https://www.linkedin.com/learning/5-personal-finance-tips)
* [Investment Evaluation ](https://www.linkedin.com/learning/investment-evaluation)
* [Managing Your Personal Investments ](https://www.linkedin.com/learning/managing-your-personal-investments)
* [Financial Wellness: Managing Personal Cash Flow ](https://www.linkedin.com/learning/financial-wellness-managing-personal-cash-flow)
* [Financial Wellness for Couples and Families ](https://www.linkedin.com/learning/financial-wellness-for-couples-and-families)
* [Managing Your Personal Finances ](https://www.linkedin.com/learning/managing-your-personal-finances)
* [Finance Foundations ](https://www.linkedin.com/learning/finance-foundations-2)
* [Entrepreneurship Foundations ](https://www.linkedin.com/learning/entrepreneurship-foundations-2)
* [Introduction to Deep Learning with OpenCV ](https://www.linkedin.com/learning/introduction-to-deep-learning-with-opencv)
* [OpenCV for Python Developers ](https://www.linkedin.com/learning/opencv-for-python-developers)
* [Brad Feld on Validating Your Startup Idea ](https://www.linkedin.com/learning/brad-feld-on-validating-your-startup-idea)
* [Brad Feld on Raising Capital ](https://www.linkedin.com/learning/brad-feld-on-raising-capital)
* [Take a More Creative Approach to Problem-Solving ](https://www.linkedin.com/learning/take-a-more-creative-approach-to-problem-solving)
* [Professional Networking ](https://www.linkedin.com/learning/professional-networking)
* [Building Relationships While Working from Home ](https://www.linkedin.com/learning/building-relationships-while-working-from-home)
* [Entrepreneurship: Raising Startup Capital ](https://www.linkedin.com/learning/entrepreneurship-raising-startup-capital)
* [Business Analysis Foundations: Business Process Modeling ](https://www.linkedin.com/learning/business-analysis-foundations-business-process-modeling)
* [Communicating with Confidence ](https://www.linkedin.com/learning/communicating-with-confidence)
* [Machine Learning for iOS Developers ](https://www.linkedin.com/learning/machine-learning-for-ios-developers)
###
Learning path
* [Stay Ahead in Personal Finance ](https://www.linkedin.com/learning/paths/stay-ahead-in-personal-finance)
* [Become a Small Business Owner ](https://www.linkedin.com/learning/paths/become-a-small-business-owner)
#
Completed
###
Reference
[https://drive.google.com/file/d/1xd5TZlEZnUUieXzw3Lxn3Sv7MwIajU_W/view?usp=sharing](https://drive.google.com/file/d/1xd5TZlEZnUUieXzw3Lxn3Sv7MwIajU_W/view?usp=sharing)
###
Link of best Groups
* [LinkedIn: Computer Vision, Deep Learning, Deep Reinforcement Learning, GANs, OpenCV, Caffe, TensorFlow,PyTorch](https://www.linkedin.com/groups/10320678/)
* [Source code](https://gitlab.com/pirahansiah)
* [Facebook : Deep Learning, Computer Vision, Robotics ](https://web.facebook.com/groups/185926728115336/)
* [The link to one-note notebook ](https://1drv.ms/u/s!AhG15hrdT9JOgR5GZgPjve65F-e5)
* [GitHub](https://github.com/pirahansiah)
###
Books
* [The Art of Startup Fundraising](https://www.amazon.de/-/en/Alejandro-Cremades-ebook/dp/B01DQ3GY3Y)
* [Mathematics for Machine Learning](https://mml-book.github.io/)
* Principles of Economics (6th edition)
* The E-Myth Revisited Why Most Small Businesses Don't Work and What to Do About It
* Clean Code: A Handbook of Agile Software Craftsmanship (Robert C. Martin)
* Reinventing Your Life: The Breakthough Program to End Negative Behavior
* Ways Of Thinking: The Limits Of Rational Thought And Artificial Intelligence
* [https://images.kw.com/docs/2/1/2/212345/1285134779158_htwfaip.pdf](https://images.kw.com/docs/2/1/2/212345/1285134779158_htwfaip.pdf)
* * [Computer Vision: Algorithms and Applications](http://szeliski.org/Book/)
* [Multiple View Geometry in Computer Vision Second Edition](https://www.robots.ox.ac.uk/~vgg/hzbook/)
* [Complete to download the latest draft of Machine Learning Yearning](https://www.deeplearning.ai/machine-learning-yearning/)
* Multiple view geometry in computer vision
* Learning OpenCV Book by Adrian Kaehler and Gary Bradski
* Digital Image Processing, Global Edition by Rafael C. Gonzalez
* Introduction to Algorithms, 3rd Edition (The MIT Press)
* The Mythical Man-Month: Essays on Software Engineering
* [OpenCV-4-with-Python-Blueprints-Second-Edition](https://github.com/PacktPublishing/OpenCV-4-with-Python-Blueprints-Second-Edition)
###
Videos
* [https://www.youtube.com/computervisiondeeplearning](https://www.youtube.com/computervisiondeeplearning)
* [Two Minute Papers](https://www.youtube.com/c/K%C3%A1rolyZsolnai/videos)
* [Conference on Pattern Recognition](https://www.gcpr-vmv-vcbm-2020.uni-tuebingen.de/)
* [https://researchseminars.org/?fbclid=IwAR0Ly9WLONBMBteYI7IhlRaMYR_rQR6YrpdxLG_sUxPxGYKQhB0SOTmcjgY](https://researchseminars.org/?fbclid=IwAR0Ly9WLONBMBteYI7IhlRaMYR_rQR6YrpdxLG_sUxPxGYKQhB0SOTmcjgY)
###
Papers
* CALTag: High Precision Fiducial Markers for Camera
* Diatom Autofocusing in Brightfield Microscopy: a Comparative Study
* Analysis of focus measure operators in shape-from-focus
* Optical flow modeling and computation: A survey
* Toward general type 2 fuzzy logic systems based on zSlices
###
Site
* [Research Tools By: Nader Ale Ebrahim](https://www.mindmeister.com/39583892/research-tools-by-nader-ale-ebrahim?t=HMmnzlA4zN) ([MindMap](https://www.mindmeister.com/39583892/research-tools-by-nader-ale-ebrahim?fullscreen=1#))
Reference-
ComputerVisionDeepLearning.pdf
* [https://virgool.io/@r_alimorady/easy-install-cuda-document-hhk6nuylvl1w](https://virgool.io/@r_alimorady/easy-install-cuda-document-hhk6nuylvl1w)
* [https://techcommunity.microsoft.com/t5/azure-ai/introducing-multivariate-anomaly-detection/ba-p/2260679](https://techcommunity.microsoft.com/t5/azure-ai/introducing-multivariate-anomaly-detection/ba-p/2260679)
* [https://www.freertos.org/index.html](https://www.freertos.org/index.html)
* [https://en.wikipedia.org/wiki/Knowledge_distillation](https://en.wikipedia.org/wiki/Knowledge_distillation)
* [https://80000hours.org/2015/10/startup-salaries-and-equity-compensation/](https://80000hours.org/2015/10/startup-salaries-and-equity-compensation/)
* [https://www.thecvf.com/?page_id=413](https://www.thecvf.com/?page_id=413)
* [https://levelup.gitconnected.com/s-o-l-i-d-principles-explained-in-python-with-examples-83b2b43bdcde?gi=a1fee170c917](https://levelup.gitconnected.com/s-o-l-i-d-principles-explained-in-python-with-examples-83b2b43bdcde?gi=a1fee170c917)
* [https://arxiv.org/pdf/2104.13921.pdf](https://arxiv.org/pdf/2104.13921.pdf)
* [https://blog.paperspace.com/object-detection-directed-mask-r-cnn-keras/](https://blog.paperspace.com/object-detection-directed-mask-r-cnn-keras/)
* [https://pub.towardsai.net/will-transformers-replace-cnns-in-computer-vision-55657a196833](https://pub.towardsai.net/will-transformers-replace-cnns-in-computer-vision-55657a196833)
* [https://medium.com/@daviddelaiglesiacastro/3d-point-cloud-generation-from-3d-triangular-mesh-bbb602ecf238](https://medium.com/@daviddelaiglesiacastro/3d-point-cloud-generation-from-3d-triangular-mesh-bbb602ecf238)
*
[https://koinly.io/](https://koinly.io/)
site map: octopus.do
[https://www.startupgermany.nrw/startup-
contest/](https://www.startupgermany.nrw/startup-contest/)
[https://www.kickstarter.com/projects/opencv/opencv-ai-kit-oak-depth-
camera-4k-cv-edge-object-
detection/description](https://www.kickstarter.com/projects/opencv/opencv-ai-
kit-oak-depth-camera-4k-cv-edge-object-detection/description)
[HOW I GAINED 68,000 SUBSCRIBERS IN A YEAR! | My Strategy to Grow on YouTube
in 2021! - YouTube
](https://www.youtube.com/watch?v=bwd1dQr33K8&list=PLxC08P2Oexy2EJKezV02N9cp3-qOEh79Z)
[https://www.youtube.com/watch?v=bwd1dQr33K8&list=PLxC08P2Oexy2EJKezV02N9cp3-qOEh79Z](https://www.youtube.com/watch?v=bwd1dQr33K8&list=PLxC08P2Oexy2EJKezV02N9cp3-qOEh79Z)
[https://www.youtube.com/watch?v=cFdApmqlllg](https://www.youtube.com/watch?v=cFdApmqlllg)
[محمد رضا شجریان، آلبوم کامل در خیال -
YouTube](https://www.youtube.com/watch?v=cFdApmqlllg)
[دوره جامع گوگل آنالیتیکس(UA) |
آنالیتیپس](https://analytips.io/product/google-analyticsua/)
[رادیوگیک - شماره ۱۲۱ - ما این لارادیوگیک - شماره ۱۲۱ - ما این لا -
YouTube](https://www.youtube.com/watch?v=dzBLhio-DIc)
[Social Selling Index | Sales
Navigator](https://www.linkedin.com/sales/ssi?src=or-
search&veh=www.google.com)
[https://rschu.me/list-a-directory-with-tree-command-on-mac-
os-x-3b2d4c4a4827](https://rschu.me/list-a-directory-with-tree-command-on-mac-
os-x-3b2d4c4a4827)
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# Links
pirahansiah, Personal, Roadmap, Books, Online Courses
[](https://drive.google.com/open?id=1ELXvmqcSciCK8-TUVsyVRnYTuxnKta-_xze-
oXQexwY "Open Spreadsheet, Links in new window")
Links
Links from my research and interest
AI in RISC-V
Mixed reality
Old Links
Reference
Link Groups
Top website
Python
Computer Vision
Documents
Business
Tools
Patents
Books
Journal Papers
Conference Papers
Articles on LinkedIn
Slides slideshare
Online Courses
Learning path
Completed
Reference
Link of best Groups
Books
Videos
Papers
Site
Efficient Video Dataset Loading and Augmentation in PyTorch for deep learning
training loops.
GitHub[ https://lnkd.in/gpR8idsp](https://lnkd.in/gpR8idsp)
[https://remmina.org/how-to-install-remmina/](https://remmina.org/how-to-
install-remmina/)
[https://readme.so/](https://readme.so/)
#
Links from my research and interest
[Build Better Generative Adversarial Networks (GANs) - Andrew Ng -
2021](https://www.youtube.com/playlist?list=PLuv1FSpHurUfl44GWqaCzEhGP-aP_-
VnF)
[https://www.oreilly.com/library/view/flow-
architectures/9781492075882/](https://www.oreilly.com/library/view/flow-
architectures/9781492075882/)
##
AI in RISC-V
* [RISC-V hardware & software ecosystem highlights in 2020](https://www.cnx-software.com/2020/12/10/risc-v-hardware-software-ecosystem-highlights-in-2020)
##
Mixed reality
* [https://github.com/MIT-SPARK/Kimera](https://github.com/MIT-SPARK/Kimera)
* Kimera is a C++ library for real-time metric-semantic simultaneous localization and mapping, which uses camera images and inertial data to build a semantically annotated 3D mesh of the environment. Kimera is modular, ROS-enabled, and runs on a CPU.
#
Old Links
###
Reference
[https://drive.google.com/file/d/1xd5TZlEZnUUieXzw3Lxn3Sv7MwIajU_W/view?usp=sharing](https://drive.google.com/file/d/1xd5TZlEZnUUieXzw3Lxn3Sv7MwIajU_W/view?usp=sharing)
###
Link Groups
* [LinkedIn: Computer Vision, Deep Learning, Deep Reinforcement Learning, GANs, OpenCV, Caffe, TensorFlow,PyTorch](https://www.linkedin.com/groups/10320678/)
* [Source code](https://gitlab.com/pirahansiah)
* [Facebook : Deep Learning, Computer Vision, Robotics ](https://web.facebook.com/groups/185926728115336/)
* [The link to one-note notebook ](https://1drv.ms/u/s!AhG15hrdT9JOgR5GZgPjve65F-e5)
* [GitHub](https://github.com/pirahansiah)
###
Top website
* [https://paperswithcode.com/](https://paperswithcode.com/)
* [https://www.learnthepart.com/](https://www.learnthepart.com/)
* [https://hackaday.com/](https://hackaday.com/)
* [https://medium.com/@pirahansiah/timesaver-626019137fa9?sk=cde3334919d6c16ba0964fe021a24762](https://medium.com/@pirahansiah/timesaver-626019137fa9?sk=cde3334919d6c16ba0964fe021a24762)
* hbrew install youtube-dl
* [https://www.masterclass.com/](https://www.masterclass.com/)
* [Deep Learning for coders (2020)](https://www.youtube.com/user/howardjeremyp)
* [Deep Learning for Video](https://mcv-m6-video.github.io/deepvideo-2019/) (Master in Computer Vision Barcelona)
* [Augmented Reality using ArUco Markers in OpenCV (C++ / Python)](https://www.learnopencv.com/augmented-reality-using-aruco-markers-in-opencv-c-python/)
* [https://explainshell.com/](https://explainshell.com/)
* [https://stackoverflow.blog/2020/02/12/when-laziness-is-efficient-make-the-most-of-your-command-line/](https://stackoverflow.blog/2020/02/12/when-laziness-is-efficient-make-the-most-of-your-command-line/?utm_source=Iterable&utm_medium=email&utm_campaign=the_overflow_newsletter&utm_content=02-19-20)
* [https://link.medium.com/XA49Ke0Jt4](https://link.medium.com/XA49Ke0Jt4)
* [https://link.medium.com/Np0YEy1Jt4](https://link.medium.com/Np0YEy1Jt4)
###
Python
* [How to Write Beautiful Python Code With PEP 8](https://realpython.com/python-pep8/)
* [PEP 622 -- Structural Pattern Matching](https://www.python.org/dev/peps/pep-0622/)
* [Monitor Your Dependencies! Stop Being A Blind Data-Scientist.](https://towardsdatascience.com/monitor-your-dependencies-stop-being-a-blind-data-scientist-a3150bd64594)
###
Computer Vision
* [Hybrid CV/DL pipelines with OpenCV 4.4 G-API](https://opencv.org/hybrid-cv-dl-pipelines-with-opencv-4-4-g-api/)
* [PaddleDetection is an end-to-end object detection development kit based on PaddlePaddle, which aims to help developers in the whole development of training models, optimizing performance and inference speed, and deploying models. ](https://github.com/PaddlePaddle/PaddleDetection/blob/release/0.4/README_en.md)
* [https://github.com/google/mediapipe](https://github.com/google/mediapipe)
###
Documents
* [https://book.keybase.io/docs](https://book.keybase.io/docs)
* [kind is a tool for running local Kubernetes clusters using Docker container "nodes".](https://github.com/kubernetes-sigs/kind)
* [FINN is an experimental framework from Xilinx Research Labs to explore deep neural network inference on FPGAs. ](https://xilinx.github.io/finn/)
* [Gitter is a chat and networking platform that helps to manage, grow and connect communities through messaging, content and discovery.](https://gitter.im/)
* [Fair and useful benchmarks for measuring training and inference performance of ML hardware, software, and services.](https://mlperf.org/)
* [https://kepler.gl/demo](https://kepler.gl/demo)
* [Open source, highly available Prometheus setup with long term storage capabilities.](https://thanos.io/)
* [Deep Learning Design Patterns - Jr Data Scientist - Part 3 - Alternative Connectivity Patterns](https://www.youtube.com/watch?v=JI-MButCqUE)
###
Business
* [5 Ways to Make More Money as a Coach or Consultant](https://www.entrepreneur.com/article/283006)
* [https://www.youtube.com/watch?v=njx09wXb9o0&list=PLnhdsL4kFmVYMNq6F8k8UiFkc6fwIdk3o&index=5](https://www.youtube.com/watch?v=njx09wXb9o0&list=PLnhdsL4kFmVYMNq6F8k8UiFkc6fwIdk3o&index=5)
###
Tools
* Free convert video for mac opensource
* [https://github.com/HandBrake/HandBrake](https://github.com/HandBrake/HandBrake)
* [https://handbrake.fr/rotation.php?file=HandBrake-1.3.3.dmg](https://handbrake.fr/rotation.php?file=HandBrake-1.3.3.dmg)
* [global-gitignore.md](https://gist.github.com/subfuzion/db7f57fff2fb6998a16c)
* [https://nextbillion.ai/](https://nextbillion.ai/) Mapping platform built for enterprises
* [https://github.com/ondras/my-mind](https://github.com/ondras/my-mind) MindMap
* [Create and share beautiful images of your source code.](https://carbon.now.sh/)
* [Web IDE](https://replit.com/templates)
* [https://github.com/jely2002/youtube-dl-gui/releases/tag/v2.2.2](https://github.com/jely2002/youtube-dl-gui/releases/tag/v2.2.2)
###
Patents
[https://patents.google.com/?inventor=pirahansiah&oq=pirahansiah](https://patents.google.com/?inventor=pirahansiah&oq=pirahansiah)
1. System and method for providing advertisement contents based on facial analysis (WO2020141969A2)
2. A method for augmenting a plurality of face images (WO2021060971A1)
3. A method for detecting a moving vehicle (WO2021107761A1)
1. System and method for providing advertisement contents based on facial analysis (WO2020141969A2)
The present invention relates to a system (100) for providing advertisement
contents based on facial analysis comprising an image acquisition device (10)
to acquire an image of a user, a face detection module (20) to detect face of
the user in the image, an analysis module (40) to analyse the facial features
statistically using classification models retrieved from a classification
module (30), a database (60) to store matching rules, weighted advertisements
and a plurality of advertisement contents; and a display device (80) to
display the advertisement contents. The system (100) further comprises a
computation module (50) to compute weighted image of the user and a matching
module (70) to match the weighted image of the user with the weighted
advertisement to select an advertisement content based on facial analysis of
the user. A method of providing the advertisement contents based on facial
analysis is also provided thereof.
[https://patentimages.storage.googleapis.com/ff/3f/a5/e7b42ef58d8a03/WO2020141969A2.pdf](https://patentimages.storage.googleapis.com/ff/3f/a5/e7b42ef58d8a03/WO2020141969A2.pdf)
2. A method for augmenting a plurality of face images (WO2021060971A1)
The present invention relates to a method for increasing data for face
analysis in video surveillance. The method comprises the steps of acquiring at
least one face image from an image acquisition module (102), acquiring a
plurality of face images available on the internet using a data input module
(104), increasing face images by at least one data augmentation module (106
and 107), generating a plurality of face images based on a trained Generative
Adversarial Network, GAN technique by using a GAN module, selecting proper
images based on quality of the face images using a fuzzy logic module (111),
saving the selected images into a fifth database, and training the deep
learning module (113).
[https://patentimages.storage.googleapis.com/b8/d9/7f/ea8a5b789e1dad/WO2021060971A1.pdf](https://patentimages.storage.googleapis.com/b8/d9/7f/ea8a5b789e1dad/WO2021060971A1.pdf)
3. A method for detecting a moving vehicle (WO2021107761A1)
The present invention relates to a method for detecting a moving vehicle. The
method comprises the steps of grabbing an initial image from a video stream by
a vehicle detection module (1100), wherein the vehicle detection module (1100)
is a part of a system (1000) to identify moving vehicle, enhancing the
illumination of the initial image by the vehicle detection module (1100),
enhancing the edges within the initial image by the vehicle detection module
(1100), and finding vehicle based on homogenous properties of the body of the
vehicle by the vehicle detection module (1100). The step of finding vehicle
based on homogenous property of the body of the vehicle by the vehicle
detection module (1100) further comprising the sub-steps of closing open
edges, inverting the binary image, segmenting an inverted binary image,
filtering the noise based on geometric feature, and filtering the noise based
on relation.
[https://patentimages.storage.googleapis.com/16/41/83/2576e20c4a0af5/WO2021107761A1.pdf](https://patentimages.storage.googleapis.com/16/41/83/2576e20c4a0af5/WO2021107761A1.pdf)
###
Books
1. [book chapter titled “Camera Calibration and Video Stabilization Framework for Robot Localization” in the Book entitled “Control Engineering in Robotics and Industrial Automation" which will be published (24/07/2021) in Springer. ](https://www.waterstones.com/book/control-engineering-in-robotics-and-industrial-automation/muralindran-mariappan/mohd-rizal-arshad/9783030745394)
2. [book chapter titled “Augmented Optical Flow Methods for Video Stabilization", In Computational Intelligence: from theory to application. (2017) (p18). ](http://www.ukm.my/penerbit/penerbitan-2017/)
###
Journal Papers
* Using An Ant Colony Optimization Algorithm For Image Edge Detection As A Threshold Segmentation For OCR System Journal of Theoretical & Applied Information Technology, 95(21)
* * [http://www.jatit.org/volumes/Vol95No21/1Vol95No21.pdf](http://www.jatit.org/volumes/Vol95No21/1Vol95No21.pdf)
* GSFT-PSNR: Global Single Fuzzy Threshold Based on PSNR for OCR Systems, International Journal of Computer Science and Network Solutions 4(6)
* * [https://www.ijcsns.com/June.2016-Volume.4-No.6/Article01.pdf](https://www.ijcsns.com/June.2016-Volume.4-No.6/Article01.pdf)
* Adaptive Image Thresholding based On the Peak Signal-To-Noise Ratio, Research Journal of Applied Sciences, Engineering and Technology 8(9).
* * [http://www.academia.edu/download/44161592/Adaptive_Image_Thresholding_Based_on_the20160328-31366-1wyb1jc.pdf](http://www.academia.edu/download/44161592/Adaptive_Image_Thresholding_Based_on_the20160328-31366-1wyb1jc.pdf)
* Simultaneous Localization and Mapping Trends and Humanoid Robot Linkages, Asia-Pacific Journal of Information Technology and Multimedia (APJITM)
* * [http://journalarticle.ukm.my/6644/1/4429-10302-1-SM.pdf](http://journalarticle.ukm.my/6644/1/4429-10302-1-SM.pdf)
* Peak Signal-To-Noise Ratio Based On Threshold Method for Image Segmentation, Journal of Theoretical & Applied Information Technology, 57(2)
* * [http://www.jatit.org/volumes/Vol57No2/4Vol57No2.pdf](http://www.jatit.org/volumes/Vol57No2/4Vol57No2.pdf)
* Character recognition based on global feature extraction; Journal of Theoretical and Applied Information Technology 52
* * [http://www.jatit.org/volumes/Vol52No2/6Vol52No2.pdf](http://www.jatit.org/volumes/Vol52No2/6Vol52No2.pdf)
###
Conference Papers
* Pattern Image Significance for Camera Calibration, IEEE Student Conference on Research and Development (SCOReD 2017)
* [http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8305440&isnumber=8305342](http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8305440&isnumber=8305342)
* Augmented optical flow methods for video stabilization. 4th Artificial Intelligence Technology Postgraduate Seminar (CAITPS 2015)
* [http://www.academia.edu/download/45596617/farshid.pdf](http://www.academia.edu/download/45596617/farshid.pdf)
* Auto-Calibration for Multi-Modal Robot Vision based on Image Quality Assessment, The 10th Asian Control Conference (ASCC 2015)
* [https://doi.org/10.1109/ASCC.2015.7360336](https://doi.org/10.1109/ASCC.2015.7360336)
* 2D versus 3D Map for Environment Movement Objects, Second National Doctoral Seminar in Artificial Intelligence Technology (CAIT 2012)
* [http://www.ftsm.ukm.my/cait2012/images/Program%20Schedule%20CAIT2012.pdf](http://www.ftsm.ukm.my/cait2012/images/Program%20Schedule%20CAIT2012.pdf)
* Comparison Single Thresholding Method for Image Segmentation on Handwritten Images, International Conference on Pattern Analysis and Intelligent Robotics
* [https://doi.org/10.1109/ICPAIR.2011.5976918](https://doi.org/10.1109/ICPAIR.2011.5976918)
* License Plate Recognition with Multi-Threshold Based on Entropy, 3rd International Conference on Electrical Engineering and Informatics (ICEEI 2011)
* [https://doi.org/10.1109/ICEEI.2011.6021627](https://doi.org/10.1109/ICEEI.2011.6021627)
* Character recognition based on global feature extraction, 3rd International Conference On Electrical Engineering and Informatics (ICEEI 2011)
* [https://pdfs.semanticscholar.org/2d22/66bfb2f5ba5cb40b5946b82c620dc713d793.pdf](https://pdfs.semanticscholar.org/2d22/66bfb2f5ba5cb40b5946b82c620dc713d793.pdf)
* [https://doi.org/10.1109/ICEEI.2011.6021649](https://doi.org/10.1109/ICEEI.2011.6021649)
* Tafresh Grid: Grid computing in Tafresh university," 2011 IEEE 3rd International Conference on Communication Software and Networks, Xi'an, 2011, pp. 83-85.
* [http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6014009&isnumber=6013532](http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6014009&isnumber=6013532)
* Adaptive image segmentation based on Peak Signal to Noise Ratio for a license plate Recognition system, International Conference on Computer Applications and Industrial Electronics (ICCAIE 2010)
* [https://doi.org/10.1109/ICCAIE.2010.5735125](https://doi.org/10.1109/ICCAIE.2010.5735125)
* [http://www.academia.edu/download/44161592/Adaptive_Image_Thresholding_Based_on_the20160328-31366-1wyb1jc.pdf](http://www.academia.edu/download/44161592/Adaptive_Image_Thresholding_Based_on_the20160328-31366-1wyb1jc.pdf)
* Multi-threshold approach for license plate recognition system, International Conference on Signal and Image Processing WASET ICSIP 2010:1046-1050
* [http://waset.org/publications/3636](http://waset.org/publications/3636)
* An evaluation of classification techniques using enhanced Geometrical Topological Feature Analysis, 2nd Malaysian Joint Conference on Artificial Intelligence (MJCAI 2010)
* [https://scholar.google.com/scholar?oi=bibs&cluster=3038184255311332521&btnI=1&hl=en](https://scholar.google.com/scholar?oi=bibs&cluster=3038184255311332521&btnI=1&hl=en)
###
Articles on LinkedIn
* [ADRL: Advanced Deep Reinforcement Learning {Patents and papers; Main point summary on recently published research on DRL} (draft version Feb 2019) ]([https://www.linkedin.com/pulse/patents-papers-adrl-advanced-deep-reinforcement-feb-pirahansiah-phd/](https://www.linkedin.com/pulse/patents-papers-adrl-advanced-deep-reinforcement-feb-pirahansiah-phd/))
* [The most important research papers for deep learning (updated December, 2017)]([https://www.linkedin.com/pulse/most-important-research-papers-deep-learning-updated-2017-farshid/](https://www.linkedin.com/pulse/most-important-research-papers-deep-learning-updated-2017-farshid/) )
* [List of useful links (Videos, Slides, Articles) for Deep Learning ]([https://www.linkedin.com/pulse/list-useful-links-videos-slides-articles-deep-farshid-pirahansiah/](https://www.linkedin.com/pulse/list-useful-links-videos-slides-articles-deep-farshid-pirahansiah/))
* [Autonomous driving vehicles (Computer Vision, Deep Learning)]([https://www.linkedin.com/pulse/autonomous-driving-vehicles-computer-vision-deep-farshid-pirahansiah-1/](https://www.linkedin.com/pulse/autonomous-driving-vehicles-computer-vision-deep-farshid-pirahansiah-1/)
* [Thresholding]([https://www.linkedin.com/pulse/thresholding-farshid-pirahansiah/](https://www.linkedin.com/pulse/thresholding-farshid-pirahansiah/)
###
Slides slideshare
* Deep Learning for Computer Vision in Ubuntu 19; Part 1 installation [Link]([https://www.slideshare.net/pirahansiah/deep-learning-for-computer-vision-in-ubuntu-19-part-1-installation](https://www.slideshare.net/pirahansiah/deep-learning-for-computer-vision-in-ubuntu-19-part-1-installation)
* Using Deep Learning for Computer Vision Applications [Link]([https://www.slideshare.net/pirahansiah/using-deep-learning-for-computer-vision-applications](https://www.slideshare.net/pirahansiah/using-deep-learning-for-computer-vision-applications) )
* tensorflow1.3 digits6.0 Caffe [Link]([https://www.slideshare.net/pirahansiah/farshid-tensorflow13-digits60caffe](https://www.slideshare.net/pirahansiah/farshid-tensorflow13-digits60caffe) )
* Install TensorFlow 1.2 on macOS Sierra on MacBook (June 2017) [Link]([https://www.slideshare.net/pirahansiah/install-tensorflow-12-on-macos-sierra-on-macbook-june-2017](https://www.slideshare.net/pirahansiah/install-tensorflow-12-on-macos-sierra-on-macbook-june-2017) )
* Best Deep Learning Post from LinkedIn Group [Link]([https://www.slideshare.net/pirahansiah/best-deep-learning-post-from-linkedin-group](https://www.slideshare.net/pirahansiah/best-deep-learning-post-from-linkedin-group) )
* Install, Compile, Setup, Setting OpenCV 3.2, Visual C++ 2015, Win 64bit [Link]([https://www.slideshare.net/pirahansiah/install-compile-setup-setting-opencv-32-visual-c-2015-win-64bit](https://www.slideshare.net/pirahansiah/install-compile-setup-setting-opencv-32-visual-c-2015-win-64bit) )
* Layers in Deep Learning&Caffe layers (model architecture ) [Link]([https://www.slideshare.net/pirahansiah/layers-in-deep-learningcaffe-layers-model-architecture](https://www.slideshare.net/pirahansiah/layers-in-deep-learningcaffe-layers-model-architecture) )
* How to install Digits 5.1 on Ubuntu 14 [Link]([https://www.slideshare.net/pirahansiah/how-to-install-digits-51-on-ubuntu-14](https://www.slideshare.net/pirahansiah/how-to-install-digits-51-on-ubuntu-14) )
* Deep Learning for Video Analysis – part 1 (DeepStream SDK) [NVIDIA TensorRT || NVIDIA GPU Inference Engine (GIE)] [Link]([https://www.slideshare.net/pirahansiah/deep-learning-for-video-analysis-part-1-deepstream-sdk-nvidia-tensorrt-nvidia-gpu-inference-engine-gie](https://www.slideshare.net/pirahansiah/deep-learning-for-video-analysis-part-1-deepstream-sdk-nvidia-tensorrt-nvidia-gpu-inference-engine-gie) )
* Computer Vision, Deep Learning, OpenCV [Link]([https://www.slideshare.net/pirahansiah/computer-vision-deep-learning-opencv](https://www.slideshare.net/pirahansiah/computer-vision-deep-learning-opencv) )
###
Online Courses
* [Writing with Impact ](https://www.linkedin.com/learning/writing-with-impact)
* [Balancing Work and Life ](https://www.linkedin.com/learning/balancing-work-and-life)
* [Finance Foundations: Income Taxes ](https://www.linkedin.com/learning/finance-foundations-income-taxes-2)
* [Starting a Business with Family and Friends ](https://www.linkedin.com/learning/starting-a-business-with-family-and-friends)
* [Finance Essentials for Small Business ](https://www.linkedin.com/learning/finance-essentials-for-small-business)
* [Setting Up Your Small Business as a Legal Entity ](https://www.linkedin.com/learning/setting-up-your-small-business-as-a-legal-entity)
* [Creating a Business Plan ](https://www.linkedin.com/learning/creating-a-business-plan-2)
* [Understanding Business ](https://www.linkedin.com/learning/understanding-business)
* [Entrepreneurship: Finding and Testing Your Business Idea ](https://www.linkedin.com/learning/entrepreneurship-finding-and-testing-your-business-idea)
* [Guy Kawasaki on Entrepreneurship ](https://www.linkedin.com/learning/guy-kawasaki-on-entrepreneurship)
* [Financial Modeling Foundations ](https://www.linkedin.com/learning/financial-modeling-foundations)
* [Financial Accounting Foundations ](https://www.linkedin.com/learning/financial-accounting-foundations)
* [Strategic Planning Foundations ](https://www.linkedin.com/learning/strategic-planning-foundations)
* [5 Personal Finance Tips ](https://www.linkedin.com/learning/5-personal-finance-tips)
* [Investment Evaluation ](https://www.linkedin.com/learning/investment-evaluation)
* [Managing Your Personal Investments ](https://www.linkedin.com/learning/managing-your-personal-investments)
* [Financial Wellness: Managing Personal Cash Flow ](https://www.linkedin.com/learning/financial-wellness-managing-personal-cash-flow)
* [Financial Wellness for Couples and Families ](https://www.linkedin.com/learning/financial-wellness-for-couples-and-families)
* [Managing Your Personal Finances ](https://www.linkedin.com/learning/managing-your-personal-finances)
* [Finance Foundations ](https://www.linkedin.com/learning/finance-foundations-2)
* [Entrepreneurship Foundations ](https://www.linkedin.com/learning/entrepreneurship-foundations-2)
* [Introduction to Deep Learning with OpenCV ](https://www.linkedin.com/learning/introduction-to-deep-learning-with-opencv)
* [OpenCV for Python Developers ](https://www.linkedin.com/learning/opencv-for-python-developers)
* [Brad Feld on Validating Your Startup Idea ](https://www.linkedin.com/learning/brad-feld-on-validating-your-startup-idea)
* [Brad Feld on Raising Capital ](https://www.linkedin.com/learning/brad-feld-on-raising-capital)
* [Take a More Creative Approach to Problem-Solving ](https://www.linkedin.com/learning/take-a-more-creative-approach-to-problem-solving)
* [Professional Networking ](https://www.linkedin.com/learning/professional-networking)
* [Building Relationships While Working from Home ](https://www.linkedin.com/learning/building-relationships-while-working-from-home)
* [Entrepreneurship: Raising Startup Capital ](https://www.linkedin.com/learning/entrepreneurship-raising-startup-capital)
* [Business Analysis Foundations: Business Process Modeling ](https://www.linkedin.com/learning/business-analysis-foundations-business-process-modeling)
* [Communicating with Confidence ](https://www.linkedin.com/learning/communicating-with-confidence)
* [Machine Learning for iOS Developers ](https://www.linkedin.com/learning/machine-learning-for-ios-developers)
###
Learning path
* [Stay Ahead in Personal Finance ](https://www.linkedin.com/learning/paths/stay-ahead-in-personal-finance)
* [Become a Small Business Owner ](https://www.linkedin.com/learning/paths/become-a-small-business-owner)
#
Completed
###
Reference
[https://drive.google.com/file/d/1xd5TZlEZnUUieXzw3Lxn3Sv7MwIajU_W/view?usp=sharing](https://drive.google.com/file/d/1xd5TZlEZnUUieXzw3Lxn3Sv7MwIajU_W/view?usp=sharing)
###
Link of best Groups
* [LinkedIn: Computer Vision, Deep Learning, Deep Reinforcement Learning, GANs, OpenCV, Caffe, TensorFlow,PyTorch](https://www.linkedin.com/groups/10320678/)
* [Source code](https://gitlab.com/pirahansiah)
* [Facebook : Deep Learning, Computer Vision, Robotics ](https://web.facebook.com/groups/185926728115336/)
* [The link to one-note notebook ](https://1drv.ms/u/s!AhG15hrdT9JOgR5GZgPjve65F-e5)
* [GitHub](https://github.com/pirahansiah)
###
Books
* [The Art of Startup Fundraising](https://www.amazon.de/-/en/Alejandro-Cremades-ebook/dp/B01DQ3GY3Y)
* [Mathematics for Machine Learning](https://mml-book.github.io/)
* Principles of Economics (6th edition)
* The E-Myth Revisited Why Most Small Businesses Don't Work and What to Do About It
* Clean Code: A Handbook of Agile Software Craftsmanship (Robert C. Martin)
* Reinventing Your Life: The Breakthough Program to End Negative Behavior
* Ways Of Thinking: The Limits Of Rational Thought And Artificial Intelligence
* [https://images.kw.com/docs/2/1/2/212345/1285134779158_htwfaip.pdf](https://images.kw.com/docs/2/1/2/212345/1285134779158_htwfaip.pdf)
* * [Computer Vision: Algorithms and Applications](http://szeliski.org/Book/)
* [Multiple View Geometry in Computer Vision Second Edition](https://www.robots.ox.ac.uk/~vgg/hzbook/)
* [Complete to download the latest draft of Machine Learning Yearning](https://www.deeplearning.ai/machine-learning-yearning/)
* Multiple view geometry in computer vision
* Learning OpenCV Book by Adrian Kaehler and Gary Bradski
* Digital Image Processing, Global Edition by Rafael C. Gonzalez
* Introduction to Algorithms, 3rd Edition (The MIT Press)
* The Mythical Man-Month: Essays on Software Engineering
* [OpenCV-4-with-Python-Blueprints-Second-Edition](https://github.com/PacktPublishing/OpenCV-4-with-Python-Blueprints-Second-Edition)
###
Videos
* [https://www.youtube.com/computervisiondeeplearning](https://www.youtube.com/computervisiondeeplearning)
* [Two Minute Papers](https://www.youtube.com/c/K%C3%A1rolyZsolnai/videos)
* [Conference on Pattern Recognition](https://www.gcpr-vmv-vcbm-2020.uni-tuebingen.de/)
* [https://researchseminars.org/?fbclid=IwAR0Ly9WLONBMBteYI7IhlRaMYR_rQR6YrpdxLG_sUxPxGYKQhB0SOTmcjgY](https://researchseminars.org/?fbclid=IwAR0Ly9WLONBMBteYI7IhlRaMYR_rQR6YrpdxLG_sUxPxGYKQhB0SOTmcjgY)
###
Papers
* CALTag: High Precision Fiducial Markers for Camera
* Diatom Autofocusing in Brightfield Microscopy: a Comparative Study
* Analysis of focus measure operators in shape-from-focus
* Optical flow modeling and computation: A survey
* Toward general type 2 fuzzy logic systems based on zSlices
###
Site
* [Research Tools By: Nader Ale Ebrahim](https://www.mindmeister.com/39583892/research-tools-by-nader-ale-ebrahim?t=HMmnzlA4zN) ([MindMap](https://www.mindmeister.com/39583892/research-tools-by-nader-ale-ebrahim?fullscreen=1#))
Reference-
ComputerVisionDeepLearning.pdf
* [https://virgool.io/@r_alimorady/easy-install-cuda-document-hhk6nuylvl1w](https://virgool.io/@r_alimorady/easy-install-cuda-document-hhk6nuylvl1w)
* [https://techcommunity.microsoft.com/t5/azure-ai/introducing-multivariate-anomaly-detection/ba-p/2260679](https://techcommunity.microsoft.com/t5/azure-ai/introducing-multivariate-anomaly-detection/ba-p/2260679)
* [https://www.freertos.org/index.html](https://www.freertos.org/index.html)
* [https://en.wikipedia.org/wiki/Knowledge_distillation](https://en.wikipedia.org/wiki/Knowledge_distillation)
* [https://80000hours.org/2015/10/startup-salaries-and-equity-compensation/](https://80000hours.org/2015/10/startup-salaries-and-equity-compensation/)
* [https://www.thecvf.com/?page_id=413](https://www.thecvf.com/?page_id=413)
* [https://levelup.gitconnected.com/s-o-l-i-d-principles-explained-in-python-with-examples-83b2b43bdcde?gi=a1fee170c917](https://levelup.gitconnected.com/s-o-l-i-d-principles-explained-in-python-with-examples-83b2b43bdcde?gi=a1fee170c917)
* [https://arxiv.org/pdf/2104.13921.pdf](https://arxiv.org/pdf/2104.13921.pdf)
* [https://blog.paperspace.com/object-detection-directed-mask-r-cnn-keras/](https://blog.paperspace.com/object-detection-directed-mask-r-cnn-keras/)
* [https://pub.towardsai.net/will-transformers-replace-cnns-in-computer-vision-55657a196833](https://pub.towardsai.net/will-transformers-replace-cnns-in-computer-vision-55657a196833)
* [https://medium.com/@daviddelaiglesiacastro/3d-point-cloud-generation-from-3d-triangular-mesh-bbb602ecf238](https://medium.com/@daviddelaiglesiacastro/3d-point-cloud-generation-from-3d-triangular-mesh-bbb602ecf238)
*
[https://koinly.io/](https://koinly.io/)
site map: octopus.do
[https://www.startupgermany.nrw/startup-
contest/](https://www.startupgermany.nrw/startup-contest/)
[https://www.kickstarter.com/projects/opencv/opencv-ai-kit-oak-depth-
camera-4k-cv-edge-object-
detection/description](https://www.kickstarter.com/projects/opencv/opencv-ai-
kit-oak-depth-camera-4k-cv-edge-object-detection/description)
[HOW I GAINED 68,000 SUBSCRIBERS IN A YEAR! | My Strategy to Grow on YouTube
in 2021! - YouTube
](https://www.youtube.com/watch?v=bwd1dQr33K8&list=PLxC08P2Oexy2EJKezV02N9cp3-qOEh79Z)
[https://www.youtube.com/watch?v=bwd1dQr33K8&list=PLxC08P2Oexy2EJKezV02N9cp3-qOEh79Z](https://www.youtube.com/watch?v=bwd1dQr33K8&list=PLxC08P2Oexy2EJKezV02N9cp3-qOEh79Z)
[https://www.youtube.com/watch?v=cFdApmqlllg](https://www.youtube.com/watch?v=cFdApmqlllg)
[محمد رضا شجریان، آلبوم کامل در خیال -
YouTube](https://www.youtube.com/watch?v=cFdApmqlllg)
[دوره جامع گوگل آنالیتیکس(UA) |
آنالیتیپس](https://analytips.io/product/google-analyticsua/)
[رادیوگیک - شماره ۱۲۱ - ما این لارادیوگیک - شماره ۱۲۱ - ما این لا -
YouTube](https://www.youtube.com/watch?v=dzBLhio-DIc)
[Social Selling Index | Sales
Navigator](https://www.linkedin.com/sales/ssi?src=or-
search&veh=www.google.com)
[https://rschu.me/list-a-directory-with-tree-command-on-mac-
os-x-3b2d4c4a4827](https://rschu.me/list-a-directory-with-tree-command-on-mac-
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# Links
pirahansiah, Personal, Roadmap, Books, Online Courses
[](https://drive.google.com/open?id=1ELXvmqcSciCK8-TUVsyVRnYTuxnKta-_xze-
oXQexwY "Open Spreadsheet, Links in new window")
Links
Links from my research and interest
AI in RISC-V
Mixed reality
Old Links
Reference
Link Groups
Top website
Python
Computer Vision
Documents
Business
Tools
Patents
Books
Journal Papers
Conference Papers
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Reference
Link of best Groups
Books
Videos
Papers
Site
Efficient Video Dataset Loading and Augmentation in PyTorch for deep learning
training loops.
GitHub[ https://lnkd.in/gpR8idsp](https://lnkd.in/gpR8idsp)
[https://remmina.org/how-to-install-remmina/](https://remmina.org/how-to-
install-remmina/)
[https://readme.so/](https://readme.so/)
#
Links from my research and interest
[Build Better Generative Adversarial Networks (GANs) - Andrew Ng -
2021](https://www.youtube.com/playlist?list=PLuv1FSpHurUfl44GWqaCzEhGP-aP_-
VnF)
[https://www.oreilly.com/library/view/flow-
architectures/9781492075882/](https://www.oreilly.com/library/view/flow-
architectures/9781492075882/)
##
AI in RISC-V
* [RISC-V hardware & software ecosystem highlights in 2020](https://www.cnx-software.com/2020/12/10/risc-v-hardware-software-ecosystem-highlights-in-2020)
##
Mixed reality
* [https://github.com/MIT-SPARK/Kimera](https://github.com/MIT-SPARK/Kimera)
* Kimera is a C++ library for real-time metric-semantic simultaneous localization and mapping, which uses camera images and inertial data to build a semantically annotated 3D mesh of the environment. Kimera is modular, ROS-enabled, and runs on a CPU.
#
Old Links
###
Reference
[https://drive.google.com/file/d/1xd5TZlEZnUUieXzw3Lxn3Sv7MwIajU_W/view?usp=sharing](https://drive.google.com/file/d/1xd5TZlEZnUUieXzw3Lxn3Sv7MwIajU_W/view?usp=sharing)
###
Link Groups
* [LinkedIn: Computer Vision, Deep Learning, Deep Reinforcement Learning, GANs, OpenCV, Caffe, TensorFlow,PyTorch](https://www.linkedin.com/groups/10320678/)
* [Source code](https://gitlab.com/pirahansiah)
* [Facebook : Deep Learning, Computer Vision, Robotics ](https://web.facebook.com/groups/185926728115336/)
* [The link to one-note notebook ](https://1drv.ms/u/s!AhG15hrdT9JOgR5GZgPjve65F-e5)
* [GitHub](https://github.com/pirahansiah)
###
Top website
* [https://paperswithcode.com/](https://paperswithcode.com/)
* [https://www.learnthepart.com/](https://www.learnthepart.com/)
* [https://hackaday.com/](https://hackaday.com/)
* [https://medium.com/@pirahansiah/timesaver-626019137fa9?sk=cde3334919d6c16ba0964fe021a24762](https://medium.com/@pirahansiah/timesaver-626019137fa9?sk=cde3334919d6c16ba0964fe021a24762)
* hbrew install youtube-dl
* [https://www.masterclass.com/](https://www.masterclass.com/)
* [Deep Learning for coders (2020)](https://www.youtube.com/user/howardjeremyp)
* [Deep Learning for Video](https://mcv-m6-video.github.io/deepvideo-2019/) (Master in Computer Vision Barcelona)
* [Augmented Reality using ArUco Markers in OpenCV (C++ / Python)](https://www.learnopencv.com/augmented-reality-using-aruco-markers-in-opencv-c-python/)
* [https://explainshell.com/](https://explainshell.com/)
* [https://stackoverflow.blog/2020/02/12/when-laziness-is-efficient-make-the-most-of-your-command-line/](https://stackoverflow.blog/2020/02/12/when-laziness-is-efficient-make-the-most-of-your-command-line/?utm_source=Iterable&utm_medium=email&utm_campaign=the_overflow_newsletter&utm_content=02-19-20)
* [https://link.medium.com/XA49Ke0Jt4](https://link.medium.com/XA49Ke0Jt4)
* [https://link.medium.com/Np0YEy1Jt4](https://link.medium.com/Np0YEy1Jt4)
###
Python
* [How to Write Beautiful Python Code With PEP 8](https://realpython.com/python-pep8/)
* [PEP 622 -- Structural Pattern Matching](https://www.python.org/dev/peps/pep-0622/)
* [Monitor Your Dependencies! Stop Being A Blind Data-Scientist.](https://towardsdatascience.com/monitor-your-dependencies-stop-being-a-blind-data-scientist-a3150bd64594)
###
Computer Vision
* [Hybrid CV/DL pipelines with OpenCV 4.4 G-API](https://opencv.org/hybrid-cv-dl-pipelines-with-opencv-4-4-g-api/)
* [PaddleDetection is an end-to-end object detection development kit based on PaddlePaddle, which aims to help developers in the whole development of training models, optimizing performance and inference speed, and deploying models. ](https://github.com/PaddlePaddle/PaddleDetection/blob/release/0.4/README_en.md)
* [https://github.com/google/mediapipe](https://github.com/google/mediapipe)
###
Documents
* [https://book.keybase.io/docs](https://book.keybase.io/docs)
* [kind is a tool for running local Kubernetes clusters using Docker container "nodes".](https://github.com/kubernetes-sigs/kind)
* [FINN is an experimental framework from Xilinx Research Labs to explore deep neural network inference on FPGAs. ](https://xilinx.github.io/finn/)
* [Gitter is a chat and networking platform that helps to manage, grow and connect communities through messaging, content and discovery.](https://gitter.im/)
* [Fair and useful benchmarks for measuring training and inference performance of ML hardware, software, and services.](https://mlperf.org/)
* [https://kepler.gl/demo](https://kepler.gl/demo)
* [Open source, highly available Prometheus setup with long term storage capabilities.](https://thanos.io/)
* [Deep Learning Design Patterns - Jr Data Scientist - Part 3 - Alternative Connectivity Patterns](https://www.youtube.com/watch?v=JI-MButCqUE)
###
Business
* [5 Ways to Make More Money as a Coach or Consultant](https://www.entrepreneur.com/article/283006)
* [https://www.youtube.com/watch?v=njx09wXb9o0&list=PLnhdsL4kFmVYMNq6F8k8UiFkc6fwIdk3o&index=5](https://www.youtube.com/watch?v=njx09wXb9o0&list=PLnhdsL4kFmVYMNq6F8k8UiFkc6fwIdk3o&index=5)
###
Tools
* Free convert video for mac opensource
* [https://github.com/HandBrake/HandBrake](https://github.com/HandBrake/HandBrake)
* [https://handbrake.fr/rotation.php?file=HandBrake-1.3.3.dmg](https://handbrake.fr/rotation.php?file=HandBrake-1.3.3.dmg)
* [global-gitignore.md](https://gist.github.com/subfuzion/db7f57fff2fb6998a16c)
* [https://nextbillion.ai/](https://nextbillion.ai/) Mapping platform built for enterprises
* [https://github.com/ondras/my-mind](https://github.com/ondras/my-mind) MindMap
* [Create and share beautiful images of your source code.](https://carbon.now.sh/)
* [Web IDE](https://replit.com/templates)
* [https://github.com/jely2002/youtube-dl-gui/releases/tag/v2.2.2](https://github.com/jely2002/youtube-dl-gui/releases/tag/v2.2.2)
###
Patents
[https://patents.google.com/?inventor=pirahansiah&oq=pirahansiah](https://patents.google.com/?inventor=pirahansiah&oq=pirahansiah)
1. System and method for providing advertisement contents based on facial analysis (WO2020141969A2)
2. A method for augmenting a plurality of face images (WO2021060971A1)
3. A method for detecting a moving vehicle (WO2021107761A1)
1. System and method for providing advertisement contents based on facial analysis (WO2020141969A2)
The present invention relates to a system (100) for providing advertisement
contents based on facial analysis comprising an image acquisition device (10)
to acquire an image of a user, a face detection module (20) to detect face of
the user in the image, an analysis module (40) to analyse the facial features
statistically using classification models retrieved from a classification
module (30), a database (60) to store matching rules, weighted advertisements
and a plurality of advertisement contents; and a display device (80) to
display the advertisement contents. The system (100) further comprises a
computation module (50) to compute weighted image of the user and a matching
module (70) to match the weighted image of the user with the weighted
advertisement to select an advertisement content based on facial analysis of
the user. A method of providing the advertisement contents based on facial
analysis is also provided thereof.
[https://patentimages.storage.googleapis.com/ff/3f/a5/e7b42ef58d8a03/WO2020141969A2.pdf](https://patentimages.storage.googleapis.com/ff/3f/a5/e7b42ef58d8a03/WO2020141969A2.pdf)
2. A method for augmenting a plurality of face images (WO2021060971A1)
The present invention relates to a method for increasing data for face
analysis in video surveillance. The method comprises the steps of acquiring at
least one face image from an image acquisition module (102), acquiring a
plurality of face images available on the internet using a data input module
(104), increasing face images by at least one data augmentation module (106
and 107), generating a plurality of face images based on a trained Generative
Adversarial Network, GAN technique by using a GAN module, selecting proper
images based on quality of the face images using a fuzzy logic module (111),
saving the selected images into a fifth database, and training the deep
learning module (113).
[https://patentimages.storage.googleapis.com/b8/d9/7f/ea8a5b789e1dad/WO2021060971A1.pdf](https://patentimages.storage.googleapis.com/b8/d9/7f/ea8a5b789e1dad/WO2021060971A1.pdf)
3. A method for detecting a moving vehicle (WO2021107761A1)
The present invention relates to a method for detecting a moving vehicle. The
method comprises the steps of grabbing an initial image from a video stream by
a vehicle detection module (1100), wherein the vehicle detection module (1100)
is a part of a system (1000) to identify moving vehicle, enhancing the
illumination of the initial image by the vehicle detection module (1100),
enhancing the edges within the initial image by the vehicle detection module
(1100), and finding vehicle based on homogenous properties of the body of the
vehicle by the vehicle detection module (1100). The step of finding vehicle
based on homogenous property of the body of the vehicle by the vehicle
detection module (1100) further comprising the sub-steps of closing open
edges, inverting the binary image, segmenting an inverted binary image,
filtering the noise based on geometric feature, and filtering the noise based
on relation.
[https://patentimages.storage.googleapis.com/16/41/83/2576e20c4a0af5/WO2021107761A1.pdf](https://patentimages.storage.googleapis.com/16/41/83/2576e20c4a0af5/WO2021107761A1.pdf)
###
Books
1. [book chapter titled “Camera Calibration and Video Stabilization Framework for Robot Localization” in the Book entitled “Control Engineering in Robotics and Industrial Automation" which will be published (24/07/2021) in Springer. ](https://www.waterstones.com/book/control-engineering-in-robotics-and-industrial-automation/muralindran-mariappan/mohd-rizal-arshad/9783030745394)
2. [book chapter titled “Augmented Optical Flow Methods for Video Stabilization", In Computational Intelligence: from theory to application. (2017) (p18). ](http://www.ukm.my/penerbit/penerbitan-2017/)
###
Journal Papers
* Using An Ant Colony Optimization Algorithm For Image Edge Detection As A Threshold Segmentation For OCR System Journal of Theoretical & Applied Information Technology, 95(21)
* * [http://www.jatit.org/volumes/Vol95No21/1Vol95No21.pdf](http://www.jatit.org/volumes/Vol95No21/1Vol95No21.pdf)
* GSFT-PSNR: Global Single Fuzzy Threshold Based on PSNR for OCR Systems, International Journal of Computer Science and Network Solutions 4(6)
* * [https://www.ijcsns.com/June.2016-Volume.4-No.6/Article01.pdf](https://www.ijcsns.com/June.2016-Volume.4-No.6/Article01.pdf)
* Adaptive Image Thresholding based On the Peak Signal-To-Noise Ratio, Research Journal of Applied Sciences, Engineering and Technology 8(9).
* * [http://www.academia.edu/download/44161592/Adaptive_Image_Thresholding_Based_on_the20160328-31366-1wyb1jc.pdf](http://www.academia.edu/download/44161592/Adaptive_Image_Thresholding_Based_on_the20160328-31366-1wyb1jc.pdf)
* Simultaneous Localization and Mapping Trends and Humanoid Robot Linkages, Asia-Pacific Journal of Information Technology and Multimedia (APJITM)
* * [http://journalarticle.ukm.my/6644/1/4429-10302-1-SM.pdf](http://journalarticle.ukm.my/6644/1/4429-10302-1-SM.pdf)
* Peak Signal-To-Noise Ratio Based On Threshold Method for Image Segmentation, Journal of Theoretical & Applied Information Technology, 57(2)
* * [http://www.jatit.org/volumes/Vol57No2/4Vol57No2.pdf](http://www.jatit.org/volumes/Vol57No2/4Vol57No2.pdf)
* Character recognition based on global feature extraction; Journal of Theoretical and Applied Information Technology 52
* * [http://www.jatit.org/volumes/Vol52No2/6Vol52No2.pdf](http://www.jatit.org/volumes/Vol52No2/6Vol52No2.pdf)
###
Conference Papers
* Pattern Image Significance for Camera Calibration, IEEE Student Conference on Research and Development (SCOReD 2017)
* [http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8305440&isnumber=8305342](http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8305440&isnumber=8305342)
* Augmented optical flow methods for video stabilization. 4th Artificial Intelligence Technology Postgraduate Seminar (CAITPS 2015)
* [http://www.academia.edu/download/45596617/farshid.pdf](http://www.academia.edu/download/45596617/farshid.pdf)
* Auto-Calibration for Multi-Modal Robot Vision based on Image Quality Assessment, The 10th Asian Control Conference (ASCC 2015)
* [https://doi.org/10.1109/ASCC.2015.7360336](https://doi.org/10.1109/ASCC.2015.7360336)
* 2D versus 3D Map for Environment Movement Objects, Second National Doctoral Seminar in Artificial Intelligence Technology (CAIT 2012)
* [http://www.ftsm.ukm.my/cait2012/images/Program%20Schedule%20CAIT2012.pdf](http://www.ftsm.ukm.my/cait2012/images/Program%20Schedule%20CAIT2012.pdf)
* Comparison Single Thresholding Method for Image Segmentation on Handwritten Images, International Conference on Pattern Analysis and Intelligent Robotics
* [https://doi.org/10.1109/ICPAIR.2011.5976918](https://doi.org/10.1109/ICPAIR.2011.5976918)
* License Plate Recognition with Multi-Threshold Based on Entropy, 3rd International Conference on Electrical Engineering and Informatics (ICEEI 2011)
* [https://doi.org/10.1109/ICEEI.2011.6021627](https://doi.org/10.1109/ICEEI.2011.6021627)
* Character recognition based on global feature extraction, 3rd International Conference On Electrical Engineering and Informatics (ICEEI 2011)
* [https://pdfs.semanticscholar.org/2d22/66bfb2f5ba5cb40b5946b82c620dc713d793.pdf](https://pdfs.semanticscholar.org/2d22/66bfb2f5ba5cb40b5946b82c620dc713d793.pdf)
* [https://doi.org/10.1109/ICEEI.2011.6021649](https://doi.org/10.1109/ICEEI.2011.6021649)
* Tafresh Grid: Grid computing in Tafresh university," 2011 IEEE 3rd International Conference on Communication Software and Networks, Xi'an, 2011, pp. 83-85.
* [http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6014009&isnumber=6013532](http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6014009&isnumber=6013532)
* Adaptive image segmentation based on Peak Signal to Noise Ratio for a license plate Recognition system, International Conference on Computer Applications and Industrial Electronics (ICCAIE 2010)
* [https://doi.org/10.1109/ICCAIE.2010.5735125](https://doi.org/10.1109/ICCAIE.2010.5735125)
* [http://www.academia.edu/download/44161592/Adaptive_Image_Thresholding_Based_on_the20160328-31366-1wyb1jc.pdf](http://www.academia.edu/download/44161592/Adaptive_Image_Thresholding_Based_on_the20160328-31366-1wyb1jc.pdf)
* Multi-threshold approach for license plate recognition system, International Conference on Signal and Image Processing WASET ICSIP 2010:1046-1050
* [http://waset.org/publications/3636](http://waset.org/publications/3636)
* An evaluation of classification techniques using enhanced Geometrical Topological Feature Analysis, 2nd Malaysian Joint Conference on Artificial Intelligence (MJCAI 2010)
* [https://scholar.google.com/scholar?oi=bibs&cluster=3038184255311332521&btnI=1&hl=en](https://scholar.google.com/scholar?oi=bibs&cluster=3038184255311332521&btnI=1&hl=en)
###
Articles on LinkedIn
* [ADRL: Advanced Deep Reinforcement Learning {Patents and papers; Main point summary on recently published research on DRL} (draft version Feb 2019) ]([https://www.linkedin.com/pulse/patents-papers-adrl-advanced-deep-reinforcement-feb-pirahansiah-phd/](https://www.linkedin.com/pulse/patents-papers-adrl-advanced-deep-reinforcement-feb-pirahansiah-phd/))
* [The most important research papers for deep learning (updated December, 2017)]([https://www.linkedin.com/pulse/most-important-research-papers-deep-learning-updated-2017-farshid/](https://www.linkedin.com/pulse/most-important-research-papers-deep-learning-updated-2017-farshid/) )
* [List of useful links (Videos, Slides, Articles) for Deep Learning ]([https://www.linkedin.com/pulse/list-useful-links-videos-slides-articles-deep-farshid-pirahansiah/](https://www.linkedin.com/pulse/list-useful-links-videos-slides-articles-deep-farshid-pirahansiah/))
* [Autonomous driving vehicles (Computer Vision, Deep Learning)]([https://www.linkedin.com/pulse/autonomous-driving-vehicles-computer-vision-deep-farshid-pirahansiah-1/](https://www.linkedin.com/pulse/autonomous-driving-vehicles-computer-vision-deep-farshid-pirahansiah-1/)
* [Thresholding]([https://www.linkedin.com/pulse/thresholding-farshid-pirahansiah/](https://www.linkedin.com/pulse/thresholding-farshid-pirahansiah/)
###
Slides slideshare
* Deep Learning for Computer Vision in Ubuntu 19; Part 1 installation [Link]([https://www.slideshare.net/pirahansiah/deep-learning-for-computer-vision-in-ubuntu-19-part-1-installation](https://www.slideshare.net/pirahansiah/deep-learning-for-computer-vision-in-ubuntu-19-part-1-installation)
* Using Deep Learning for Computer Vision Applications [Link]([https://www.slideshare.net/pirahansiah/using-deep-learning-for-computer-vision-applications](https://www.slideshare.net/pirahansiah/using-deep-learning-for-computer-vision-applications) )
* tensorflow1.3 digits6.0 Caffe [Link]([https://www.slideshare.net/pirahansiah/farshid-tensorflow13-digits60caffe](https://www.slideshare.net/pirahansiah/farshid-tensorflow13-digits60caffe) )
* Install TensorFlow 1.2 on macOS Sierra on MacBook (June 2017) [Link]([https://www.slideshare.net/pirahansiah/install-tensorflow-12-on-macos-sierra-on-macbook-june-2017](https://www.slideshare.net/pirahansiah/install-tensorflow-12-on-macos-sierra-on-macbook-june-2017) )
* Best Deep Learning Post from LinkedIn Group [Link]([https://www.slideshare.net/pirahansiah/best-deep-learning-post-from-linkedin-group](https://www.slideshare.net/pirahansiah/best-deep-learning-post-from-linkedin-group) )
* Install, Compile, Setup, Setting OpenCV 3.2, Visual C++ 2015, Win 64bit [Link]([https://www.slideshare.net/pirahansiah/install-compile-setup-setting-opencv-32-visual-c-2015-win-64bit](https://www.slideshare.net/pirahansiah/install-compile-setup-setting-opencv-32-visual-c-2015-win-64bit) )
* Layers in Deep Learning&Caffe layers (model architecture ) [Link]([https://www.slideshare.net/pirahansiah/layers-in-deep-learningcaffe-layers-model-architecture](https://www.slideshare.net/pirahansiah/layers-in-deep-learningcaffe-layers-model-architecture) )
* How to install Digits 5.1 on Ubuntu 14 [Link]([https://www.slideshare.net/pirahansiah/how-to-install-digits-51-on-ubuntu-14](https://www.slideshare.net/pirahansiah/how-to-install-digits-51-on-ubuntu-14) )
* Deep Learning for Video Analysis – part 1 (DeepStream SDK) [NVIDIA TensorRT || NVIDIA GPU Inference Engine (GIE)] [Link]([https://www.slideshare.net/pirahansiah/deep-learning-for-video-analysis-part-1-deepstream-sdk-nvidia-tensorrt-nvidia-gpu-inference-engine-gie](https://www.slideshare.net/pirahansiah/deep-learning-for-video-analysis-part-1-deepstream-sdk-nvidia-tensorrt-nvidia-gpu-inference-engine-gie) )
* Computer Vision, Deep Learning, OpenCV [Link]([https://www.slideshare.net/pirahansiah/computer-vision-deep-learning-opencv](https://www.slideshare.net/pirahansiah/computer-vision-deep-learning-opencv) )
###
Online Courses
* [Writing with Impact ](https://www.linkedin.com/learning/writing-with-impact)
* [Balancing Work and Life ](https://www.linkedin.com/learning/balancing-work-and-life)
* [Finance Foundations: Income Taxes ](https://www.linkedin.com/learning/finance-foundations-income-taxes-2)
* [Starting a Business with Family and Friends ](https://www.linkedin.com/learning/starting-a-business-with-family-and-friends)
* [Finance Essentials for Small Business ](https://www.linkedin.com/learning/finance-essentials-for-small-business)
* [Setting Up Your Small Business as a Legal Entity ](https://www.linkedin.com/learning/setting-up-your-small-business-as-a-legal-entity)
* [Creating a Business Plan ](https://www.linkedin.com/learning/creating-a-business-plan-2)
* [Understanding Business ](https://www.linkedin.com/learning/understanding-business)
* [Entrepreneurship: Finding and Testing Your Business Idea ](https://www.linkedin.com/learning/entrepreneurship-finding-and-testing-your-business-idea)
* [Guy Kawasaki on Entrepreneurship ](https://www.linkedin.com/learning/guy-kawasaki-on-entrepreneurship)
* [Financial Modeling Foundations ](https://www.linkedin.com/learning/financial-modeling-foundations)
* [Financial Accounting Foundations ](https://www.linkedin.com/learning/financial-accounting-foundations)
* [Strategic Planning Foundations ](https://www.linkedin.com/learning/strategic-planning-foundations)
* [5 Personal Finance Tips ](https://www.linkedin.com/learning/5-personal-finance-tips)
* [Investment Evaluation ](https://www.linkedin.com/learning/investment-evaluation)
* [Managing Your Personal Investments ](https://www.linkedin.com/learning/managing-your-personal-investments)
* [Financial Wellness: Managing Personal Cash Flow ](https://www.linkedin.com/learning/financial-wellness-managing-personal-cash-flow)
* [Financial Wellness for Couples and Families ](https://www.linkedin.com/learning/financial-wellness-for-couples-and-families)
* [Managing Your Personal Finances ](https://www.linkedin.com/learning/managing-your-personal-finances)
* [Finance Foundations ](https://www.linkedin.com/learning/finance-foundations-2)
* [Entrepreneurship Foundations ](https://www.linkedin.com/learning/entrepreneurship-foundations-2)
* [Introduction to Deep Learning with OpenCV ](https://www.linkedin.com/learning/introduction-to-deep-learning-with-opencv)
* [OpenCV for Python Developers ](https://www.linkedin.com/learning/opencv-for-python-developers)
* [Brad Feld on Validating Your Startup Idea ](https://www.linkedin.com/learning/brad-feld-on-validating-your-startup-idea)
* [Brad Feld on Raising Capital ](https://www.linkedin.com/learning/brad-feld-on-raising-capital)
* [Take a More Creative Approach to Problem-Solving ](https://www.linkedin.com/learning/take-a-more-creative-approach-to-problem-solving)
* [Professional Networking ](https://www.linkedin.com/learning/professional-networking)
* [Building Relationships While Working from Home ](https://www.linkedin.com/learning/building-relationships-while-working-from-home)
* [Entrepreneurship: Raising Startup Capital ](https://www.linkedin.com/learning/entrepreneurship-raising-startup-capital)
* [Business Analysis Foundations: Business Process Modeling ](https://www.linkedin.com/learning/business-analysis-foundations-business-process-modeling)
* [Communicating with Confidence ](https://www.linkedin.com/learning/communicating-with-confidence)
* [Machine Learning for iOS Developers ](https://www.linkedin.com/learning/machine-learning-for-ios-developers)
###
Learning path
* [Stay Ahead in Personal Finance ](https://www.linkedin.com/learning/paths/stay-ahead-in-personal-finance)
* [Become a Small Business Owner ](https://www.linkedin.com/learning/paths/become-a-small-business-owner)
#
Completed
###
Reference
[https://drive.google.com/file/d/1xd5TZlEZnUUieXzw3Lxn3Sv7MwIajU_W/view?usp=sharing](https://drive.google.com/file/d/1xd5TZlEZnUUieXzw3Lxn3Sv7MwIajU_W/view?usp=sharing)
###
Link of best Groups
* [LinkedIn: Computer Vision, Deep Learning, Deep Reinforcement Learning, GANs, OpenCV, Caffe, TensorFlow,PyTorch](https://www.linkedin.com/groups/10320678/)
* [Source code](https://gitlab.com/pirahansiah)
* [Facebook : Deep Learning, Computer Vision, Robotics ](https://web.facebook.com/groups/185926728115336/)
* [The link to one-note notebook ](https://1drv.ms/u/s!AhG15hrdT9JOgR5GZgPjve65F-e5)
* [GitHub](https://github.com/pirahansiah)
###
Books
* [The Art of Startup Fundraising](https://www.amazon.de/-/en/Alejandro-Cremades-ebook/dp/B01DQ3GY3Y)
* [Mathematics for Machine Learning](https://mml-book.github.io/)
* Principles of Economics (6th edition)
* The E-Myth Revisited Why Most Small Businesses Don't Work and What to Do About It
* Clean Code: A Handbook of Agile Software Craftsmanship (Robert C. Martin)
* Reinventing Your Life: The Breakthough Program to End Negative Behavior
* Ways Of Thinking: The Limits Of Rational Thought And Artificial Intelligence
* [https://images.kw.com/docs/2/1/2/212345/1285134779158_htwfaip.pdf](https://images.kw.com/docs/2/1/2/212345/1285134779158_htwfaip.pdf)
* * [Computer Vision: Algorithms and Applications](http://szeliski.org/Book/)
* [Multiple View Geometry in Computer Vision Second Edition](https://www.robots.ox.ac.uk/~vgg/hzbook/)
* [Complete to download the latest draft of Machine Learning Yearning](https://www.deeplearning.ai/machine-learning-yearning/)
* Multiple view geometry in computer vision
* Learning OpenCV Book by Adrian Kaehler and Gary Bradski
* Digital Image Processing, Global Edition by Rafael C. Gonzalez
* Introduction to Algorithms, 3rd Edition (The MIT Press)
* The Mythical Man-Month: Essays on Software Engineering
* [OpenCV-4-with-Python-Blueprints-Second-Edition](https://github.com/PacktPublishing/OpenCV-4-with-Python-Blueprints-Second-Edition)
###
Videos
* [https://www.youtube.com/computervisiondeeplearning](https://www.youtube.com/computervisiondeeplearning)
* [Two Minute Papers](https://www.youtube.com/c/K%C3%A1rolyZsolnai/videos)
* [Conference on Pattern Recognition](https://www.gcpr-vmv-vcbm-2020.uni-tuebingen.de/)
* [https://researchseminars.org/?fbclid=IwAR0Ly9WLONBMBteYI7IhlRaMYR_rQR6YrpdxLG_sUxPxGYKQhB0SOTmcjgY](https://researchseminars.org/?fbclid=IwAR0Ly9WLONBMBteYI7IhlRaMYR_rQR6YrpdxLG_sUxPxGYKQhB0SOTmcjgY)
###
Papers
* CALTag: High Precision Fiducial Markers for Camera
* Diatom Autofocusing in Brightfield Microscopy: a Comparative Study
* Analysis of focus measure operators in shape-from-focus
* Optical flow modeling and computation: A survey
* Toward general type 2 fuzzy logic systems based on zSlices
###
Site
* [Research Tools By: Nader Ale Ebrahim](https://www.mindmeister.com/39583892/research-tools-by-nader-ale-ebrahim?t=HMmnzlA4zN) ([MindMap](https://www.mindmeister.com/39583892/research-tools-by-nader-ale-ebrahim?fullscreen=1#))
Reference-
ComputerVisionDeepLearning.pdf
* [https://virgool.io/@r_alimorady/easy-install-cuda-document-hhk6nuylvl1w](https://virgool.io/@r_alimorady/easy-install-cuda-document-hhk6nuylvl1w)
* [https://techcommunity.microsoft.com/t5/azure-ai/introducing-multivariate-anomaly-detection/ba-p/2260679](https://techcommunity.microsoft.com/t5/azure-ai/introducing-multivariate-anomaly-detection/ba-p/2260679)
* [https://www.freertos.org/index.html](https://www.freertos.org/index.html)
* [https://en.wikipedia.org/wiki/Knowledge_distillation](https://en.wikipedia.org/wiki/Knowledge_distillation)
* [https://80000hours.org/2015/10/startup-salaries-and-equity-compensation/](https://80000hours.org/2015/10/startup-salaries-and-equity-compensation/)
* [https://www.thecvf.com/?page_id=413](https://www.thecvf.com/?page_id=413)
* [https://levelup.gitconnected.com/s-o-l-i-d-principles-explained-in-python-with-examples-83b2b43bdcde?gi=a1fee170c917](https://levelup.gitconnected.com/s-o-l-i-d-principles-explained-in-python-with-examples-83b2b43bdcde?gi=a1fee170c917)
* [https://arxiv.org/pdf/2104.13921.pdf](https://arxiv.org/pdf/2104.13921.pdf)
* [https://blog.paperspace.com/object-detection-directed-mask-r-cnn-keras/](https://blog.paperspace.com/object-detection-directed-mask-r-cnn-keras/)
* [https://pub.towardsai.net/will-transformers-replace-cnns-in-computer-vision-55657a196833](https://pub.towardsai.net/will-transformers-replace-cnns-in-computer-vision-55657a196833)
* [https://medium.com/@daviddelaiglesiacastro/3d-point-cloud-generation-from-3d-triangular-mesh-bbb602ecf238](https://medium.com/@daviddelaiglesiacastro/3d-point-cloud-generation-from-3d-triangular-mesh-bbb602ecf238)
*
[https://koinly.io/](https://koinly.io/)
site map: octopus.do
[https://www.startupgermany.nrw/startup-
contest/](https://www.startupgermany.nrw/startup-contest/)
[https://www.kickstarter.com/projects/opencv/opencv-ai-kit-oak-depth-
camera-4k-cv-edge-object-
detection/description](https://www.kickstarter.com/projects/opencv/opencv-ai-
kit-oak-depth-camera-4k-cv-edge-object-detection/description)
[HOW I GAINED 68,000 SUBSCRIBERS IN A YEAR! | My Strategy to Grow on YouTube
in 2021! - YouTube
](https://www.youtube.com/watch?v=bwd1dQr33K8&list=PLxC08P2Oexy2EJKezV02N9cp3-qOEh79Z)
[https://www.youtube.com/watch?v=bwd1dQr33K8&list=PLxC08P2Oexy2EJKezV02N9cp3-qOEh79Z](https://www.youtube.com/watch?v=bwd1dQr33K8&list=PLxC08P2Oexy2EJKezV02N9cp3-qOEh79Z)
[https://www.youtube.com/watch?v=cFdApmqlllg](https://www.youtube.com/watch?v=cFdApmqlllg)
[محمد رضا شجریان، آلبوم کامل در خیال -
YouTube](https://www.youtube.com/watch?v=cFdApmqlllg)
[دوره جامع گوگل آنالیتیکس(UA) |
آنالیتیپس](https://analytips.io/product/google-analyticsua/)
[رادیوگیک - شماره ۱۲۱ - ما این لارادیوگیک - شماره ۱۲۱ - ما این لا -
YouTube](https://www.youtube.com/watch?v=dzBLhio-DIc)
[Social Selling Index | Sales
Navigator](https://www.linkedin.com/sales/ssi?src=or-
search&veh=www.google.com)
[https://rschu.me/list-a-directory-with-tree-command-on-mac-
os-x-3b2d4c4a4827](https://rschu.me/list-a-directory-with-tree-command-on-mac-
os-x-3b2d4c4a4827)
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# Links
pirahansiah, Personal, Roadmap, Books, Online Courses
[](https://drive.google.com/open?id=1ELXvmqcSciCK8-TUVsyVRnYTuxnKta-_xze-
oXQexwY "Open Spreadsheet, Links in new window")
Links
Links from my research and interest
AI in RISC-V
Mixed reality
Old Links
Reference
Link Groups
Top website
Python
Computer Vision
Documents
Business
Tools
Patents
Books
Journal Papers
Conference Papers
Articles on LinkedIn
Slides slideshare
Online Courses
Learning path
Completed
Reference
Link of best Groups
Books
Videos
Papers
Site
Efficient Video Dataset Loading and Augmentation in PyTorch for deep learning
training loops.
GitHub[ https://lnkd.in/gpR8idsp](https://lnkd.in/gpR8idsp)
[https://remmina.org/how-to-install-remmina/](https://remmina.org/how-to-
install-remmina/)
[https://readme.so/](https://readme.so/)
#
Links from my research and interest
[Build Better Generative Adversarial Networks (GANs) - Andrew Ng -
2021](https://www.youtube.com/playlist?list=PLuv1FSpHurUfl44GWqaCzEhGP-aP_-
VnF)
[https://www.oreilly.com/library/view/flow-
architectures/9781492075882/](https://www.oreilly.com/library/view/flow-
architectures/9781492075882/)
##
AI in RISC-V
* [RISC-V hardware & software ecosystem highlights in 2020](https://www.cnx-software.com/2020/12/10/risc-v-hardware-software-ecosystem-highlights-in-2020)
##
Mixed reality
* [https://github.com/MIT-SPARK/Kimera](https://github.com/MIT-SPARK/Kimera)
* Kimera is a C++ library for real-time metric-semantic simultaneous localization and mapping, which uses camera images and inertial data to build a semantically annotated 3D mesh of the environment. Kimera is modular, ROS-enabled, and runs on a CPU.
#
Old Links
###
Reference
[https://drive.google.com/file/d/1xd5TZlEZnUUieXzw3Lxn3Sv7MwIajU_W/view?usp=sharing](https://drive.google.com/file/d/1xd5TZlEZnUUieXzw3Lxn3Sv7MwIajU_W/view?usp=sharing)
###
Link Groups
* [LinkedIn: Computer Vision, Deep Learning, Deep Reinforcement Learning, GANs, OpenCV, Caffe, TensorFlow,PyTorch](https://www.linkedin.com/groups/10320678/)
* [Source code](https://gitlab.com/pirahansiah)
* [Facebook : Deep Learning, Computer Vision, Robotics ](https://web.facebook.com/groups/185926728115336/)
* [The link to one-note notebook ](https://1drv.ms/u/s!AhG15hrdT9JOgR5GZgPjve65F-e5)
* [GitHub](https://github.com/pirahansiah)
###
Top website
* [https://paperswithcode.com/](https://paperswithcode.com/)
* [https://www.learnthepart.com/](https://www.learnthepart.com/)
* [https://hackaday.com/](https://hackaday.com/)
* [https://medium.com/@pirahansiah/timesaver-626019137fa9?sk=cde3334919d6c16ba0964fe021a24762](https://medium.com/@pirahansiah/timesaver-626019137fa9?sk=cde3334919d6c16ba0964fe021a24762)
* hbrew install youtube-dl
* [https://www.masterclass.com/](https://www.masterclass.com/)
* [Deep Learning for coders (2020)](https://www.youtube.com/user/howardjeremyp)
* [Deep Learning for Video](https://mcv-m6-video.github.io/deepvideo-2019/) (Master in Computer Vision Barcelona)
* [Augmented Reality using ArUco Markers in OpenCV (C++ / Python)](https://www.learnopencv.com/augmented-reality-using-aruco-markers-in-opencv-c-python/)
* [https://explainshell.com/](https://explainshell.com/)
* [https://stackoverflow.blog/2020/02/12/when-laziness-is-efficient-make-the-most-of-your-command-line/](https://stackoverflow.blog/2020/02/12/when-laziness-is-efficient-make-the-most-of-your-command-line/?utm_source=Iterable&utm_medium=email&utm_campaign=the_overflow_newsletter&utm_content=02-19-20)
* [https://link.medium.com/XA49Ke0Jt4](https://link.medium.com/XA49Ke0Jt4)
* [https://link.medium.com/Np0YEy1Jt4](https://link.medium.com/Np0YEy1Jt4)
###
Python
* [How to Write Beautiful Python Code With PEP 8](https://realpython.com/python-pep8/)
* [PEP 622 -- Structural Pattern Matching](https://www.python.org/dev/peps/pep-0622/)
* [Monitor Your Dependencies! Stop Being A Blind Data-Scientist.](https://towardsdatascience.com/monitor-your-dependencies-stop-being-a-blind-data-scientist-a3150bd64594)
###
Computer Vision
* [Hybrid CV/DL pipelines with OpenCV 4.4 G-API](https://opencv.org/hybrid-cv-dl-pipelines-with-opencv-4-4-g-api/)
* [PaddleDetection is an end-to-end object detection development kit based on PaddlePaddle, which aims to help developers in the whole development of training models, optimizing performance and inference speed, and deploying models. ](https://github.com/PaddlePaddle/PaddleDetection/blob/release/0.4/README_en.md)
* [https://github.com/google/mediapipe](https://github.com/google/mediapipe)
###
Documents
* [https://book.keybase.io/docs](https://book.keybase.io/docs)
* [kind is a tool for running local Kubernetes clusters using Docker container "nodes".](https://github.com/kubernetes-sigs/kind)
* [FINN is an experimental framework from Xilinx Research Labs to explore deep neural network inference on FPGAs. ](https://xilinx.github.io/finn/)
* [Gitter is a chat and networking platform that helps to manage, grow and connect communities through messaging, content and discovery.](https://gitter.im/)
* [Fair and useful benchmarks for measuring training and inference performance of ML hardware, software, and services.](https://mlperf.org/)
* [https://kepler.gl/demo](https://kepler.gl/demo)
* [Open source, highly available Prometheus setup with long term storage capabilities.](https://thanos.io/)
* [Deep Learning Design Patterns - Jr Data Scientist - Part 3 - Alternative Connectivity Patterns](https://www.youtube.com/watch?v=JI-MButCqUE)
###
Business
* [5 Ways to Make More Money as a Coach or Consultant](https://www.entrepreneur.com/article/283006)
* [https://www.youtube.com/watch?v=njx09wXb9o0&list=PLnhdsL4kFmVYMNq6F8k8UiFkc6fwIdk3o&index=5](https://www.youtube.com/watch?v=njx09wXb9o0&list=PLnhdsL4kFmVYMNq6F8k8UiFkc6fwIdk3o&index=5)
###
Tools
* Free convert video for mac opensource
* [https://github.com/HandBrake/HandBrake](https://github.com/HandBrake/HandBrake)
* [https://handbrake.fr/rotation.php?file=HandBrake-1.3.3.dmg](https://handbrake.fr/rotation.php?file=HandBrake-1.3.3.dmg)
* [global-gitignore.md](https://gist.github.com/subfuzion/db7f57fff2fb6998a16c)
* [https://nextbillion.ai/](https://nextbillion.ai/) Mapping platform built for enterprises
* [https://github.com/ondras/my-mind](https://github.com/ondras/my-mind) MindMap
* [Create and share beautiful images of your source code.](https://carbon.now.sh/)
* [Web IDE](https://replit.com/templates)
* [https://github.com/jely2002/youtube-dl-gui/releases/tag/v2.2.2](https://github.com/jely2002/youtube-dl-gui/releases/tag/v2.2.2)
###
Patents
[https://patents.google.com/?inventor=pirahansiah&oq=pirahansiah](https://patents.google.com/?inventor=pirahansiah&oq=pirahansiah)
1. System and method for providing advertisement contents based on facial analysis (WO2020141969A2)
2. A method for augmenting a plurality of face images (WO2021060971A1)
3. A method for detecting a moving vehicle (WO2021107761A1)
1. System and method for providing advertisement contents based on facial analysis (WO2020141969A2)
The present invention relates to a system (100) for providing advertisement
contents based on facial analysis comprising an image acquisition device (10)
to acquire an image of a user, a face detection module (20) to detect face of
the user in the image, an analysis module (40) to analyse the facial features
statistically using classification models retrieved from a classification
module (30), a database (60) to store matching rules, weighted advertisements
and a plurality of advertisement contents; and a display device (80) to
display the advertisement contents. The system (100) further comprises a
computation module (50) to compute weighted image of the user and a matching
module (70) to match the weighted image of the user with the weighted
advertisement to select an advertisement content based on facial analysis of
the user. A method of providing the advertisement contents based on facial
analysis is also provided thereof.
[https://patentimages.storage.googleapis.com/ff/3f/a5/e7b42ef58d8a03/WO2020141969A2.pdf](https://patentimages.storage.googleapis.com/ff/3f/a5/e7b42ef58d8a03/WO2020141969A2.pdf)
2. A method for augmenting a plurality of face images (WO2021060971A1)
The present invention relates to a method for increasing data for face
analysis in video surveillance. The method comprises the steps of acquiring at
least one face image from an image acquisition module (102), acquiring a
plurality of face images available on the internet using a data input module
(104), increasing face images by at least one data augmentation module (106
and 107), generating a plurality of face images based on a trained Generative
Adversarial Network, GAN technique by using a GAN module, selecting proper
images based on quality of the face images using a fuzzy logic module (111),
saving the selected images into a fifth database, and training the deep
learning module (113).
[https://patentimages.storage.googleapis.com/b8/d9/7f/ea8a5b789e1dad/WO2021060971A1.pdf](https://patentimages.storage.googleapis.com/b8/d9/7f/ea8a5b789e1dad/WO2021060971A1.pdf)
3. A method for detecting a moving vehicle (WO2021107761A1)
The present invention relates to a method for detecting a moving vehicle. The
method comprises the steps of grabbing an initial image from a video stream by
a vehicle detection module (1100), wherein the vehicle detection module (1100)
is a part of a system (1000) to identify moving vehicle, enhancing the
illumination of the initial image by the vehicle detection module (1100),
enhancing the edges within the initial image by the vehicle detection module
(1100), and finding vehicle based on homogenous properties of the body of the
vehicle by the vehicle detection module (1100). The step of finding vehicle
based on homogenous property of the body of the vehicle by the vehicle
detection module (1100) further comprising the sub-steps of closing open
edges, inverting the binary image, segmenting an inverted binary image,
filtering the noise based on geometric feature, and filtering the noise based
on relation.
[https://patentimages.storage.googleapis.com/16/41/83/2576e20c4a0af5/WO2021107761A1.pdf](https://patentimages.storage.googleapis.com/16/41/83/2576e20c4a0af5/WO2021107761A1.pdf)
###
Books
1. [book chapter titled “Camera Calibration and Video Stabilization Framework for Robot Localization” in the Book entitled “Control Engineering in Robotics and Industrial Automation" which will be published (24/07/2021) in Springer. ](https://www.waterstones.com/book/control-engineering-in-robotics-and-industrial-automation/muralindran-mariappan/mohd-rizal-arshad/9783030745394)
2. [book chapter titled “Augmented Optical Flow Methods for Video Stabilization", In Computational Intelligence: from theory to application. (2017) (p18). ](http://www.ukm.my/penerbit/penerbitan-2017/)
###
Journal Papers
* Using An Ant Colony Optimization Algorithm For Image Edge Detection As A Threshold Segmentation For OCR System Journal of Theoretical & Applied Information Technology, 95(21)
* * [http://www.jatit.org/volumes/Vol95No21/1Vol95No21.pdf](http://www.jatit.org/volumes/Vol95No21/1Vol95No21.pdf)
* GSFT-PSNR: Global Single Fuzzy Threshold Based on PSNR for OCR Systems, International Journal of Computer Science and Network Solutions 4(6)
* * [https://www.ijcsns.com/June.2016-Volume.4-No.6/Article01.pdf](https://www.ijcsns.com/June.2016-Volume.4-No.6/Article01.pdf)
* Adaptive Image Thresholding based On the Peak Signal-To-Noise Ratio, Research Journal of Applied Sciences, Engineering and Technology 8(9).
* * [http://www.academia.edu/download/44161592/Adaptive_Image_Thresholding_Based_on_the20160328-31366-1wyb1jc.pdf](http://www.academia.edu/download/44161592/Adaptive_Image_Thresholding_Based_on_the20160328-31366-1wyb1jc.pdf)
* Simultaneous Localization and Mapping Trends and Humanoid Robot Linkages, Asia-Pacific Journal of Information Technology and Multimedia (APJITM)
* * [http://journalarticle.ukm.my/6644/1/4429-10302-1-SM.pdf](http://journalarticle.ukm.my/6644/1/4429-10302-1-SM.pdf)
* Peak Signal-To-Noise Ratio Based On Threshold Method for Image Segmentation, Journal of Theoretical & Applied Information Technology, 57(2)
* * [http://www.jatit.org/volumes/Vol57No2/4Vol57No2.pdf](http://www.jatit.org/volumes/Vol57No2/4Vol57No2.pdf)
* Character recognition based on global feature extraction; Journal of Theoretical and Applied Information Technology 52
* * [http://www.jatit.org/volumes/Vol52No2/6Vol52No2.pdf](http://www.jatit.org/volumes/Vol52No2/6Vol52No2.pdf)
###
Conference Papers
* Pattern Image Significance for Camera Calibration, IEEE Student Conference on Research and Development (SCOReD 2017)
* [http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8305440&isnumber=8305342](http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8305440&isnumber=8305342)
* Augmented optical flow methods for video stabilization. 4th Artificial Intelligence Technology Postgraduate Seminar (CAITPS 2015)
* [http://www.academia.edu/download/45596617/farshid.pdf](http://www.academia.edu/download/45596617/farshid.pdf)
* Auto-Calibration for Multi-Modal Robot Vision based on Image Quality Assessment, The 10th Asian Control Conference (ASCC 2015)
* [https://doi.org/10.1109/ASCC.2015.7360336](https://doi.org/10.1109/ASCC.2015.7360336)
* 2D versus 3D Map for Environment Movement Objects, Second National Doctoral Seminar in Artificial Intelligence Technology (CAIT 2012)
* [http://www.ftsm.ukm.my/cait2012/images/Program%20Schedule%20CAIT2012.pdf](http://www.ftsm.ukm.my/cait2012/images/Program%20Schedule%20CAIT2012.pdf)
* Comparison Single Thresholding Method for Image Segmentation on Handwritten Images, International Conference on Pattern Analysis and Intelligent Robotics
* [https://doi.org/10.1109/ICPAIR.2011.5976918](https://doi.org/10.1109/ICPAIR.2011.5976918)
* License Plate Recognition with Multi-Threshold Based on Entropy, 3rd International Conference on Electrical Engineering and Informatics (ICEEI 2011)
* [https://doi.org/10.1109/ICEEI.2011.6021627](https://doi.org/10.1109/ICEEI.2011.6021627)
* Character recognition based on global feature extraction, 3rd International Conference On Electrical Engineering and Informatics (ICEEI 2011)
* [https://pdfs.semanticscholar.org/2d22/66bfb2f5ba5cb40b5946b82c620dc713d793.pdf](https://pdfs.semanticscholar.org/2d22/66bfb2f5ba5cb40b5946b82c620dc713d793.pdf)
* [https://doi.org/10.1109/ICEEI.2011.6021649](https://doi.org/10.1109/ICEEI.2011.6021649)
* Tafresh Grid: Grid computing in Tafresh university," 2011 IEEE 3rd International Conference on Communication Software and Networks, Xi'an, 2011, pp. 83-85.
* [http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6014009&isnumber=6013532](http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6014009&isnumber=6013532)
* Adaptive image segmentation based on Peak Signal to Noise Ratio for a license plate Recognition system, International Conference on Computer Applications and Industrial Electronics (ICCAIE 2010)
* [https://doi.org/10.1109/ICCAIE.2010.5735125](https://doi.org/10.1109/ICCAIE.2010.5735125)
* [http://www.academia.edu/download/44161592/Adaptive_Image_Thresholding_Based_on_the20160328-31366-1wyb1jc.pdf](http://www.academia.edu/download/44161592/Adaptive_Image_Thresholding_Based_on_the20160328-31366-1wyb1jc.pdf)
* Multi-threshold approach for license plate recognition system, International Conference on Signal and Image Processing WASET ICSIP 2010:1046-1050
* [http://waset.org/publications/3636](http://waset.org/publications/3636)
* An evaluation of classification techniques using enhanced Geometrical Topological Feature Analysis, 2nd Malaysian Joint Conference on Artificial Intelligence (MJCAI 2010)
* [https://scholar.google.com/scholar?oi=bibs&cluster=3038184255311332521&btnI=1&hl=en](https://scholar.google.com/scholar?oi=bibs&cluster=3038184255311332521&btnI=1&hl=en)
###
Articles on LinkedIn
* [ADRL: Advanced Deep Reinforcement Learning {Patents and papers; Main point summary on recently published research on DRL} (draft version Feb 2019) ]([https://www.linkedin.com/pulse/patents-papers-adrl-advanced-deep-reinforcement-feb-pirahansiah-phd/](https://www.linkedin.com/pulse/patents-papers-adrl-advanced-deep-reinforcement-feb-pirahansiah-phd/))
* [The most important research papers for deep learning (updated December, 2017)]([https://www.linkedin.com/pulse/most-important-research-papers-deep-learning-updated-2017-farshid/](https://www.linkedin.com/pulse/most-important-research-papers-deep-learning-updated-2017-farshid/) )
* [List of useful links (Videos, Slides, Articles) for Deep Learning ]([https://www.linkedin.com/pulse/list-useful-links-videos-slides-articles-deep-farshid-pirahansiah/](https://www.linkedin.com/pulse/list-useful-links-videos-slides-articles-deep-farshid-pirahansiah/))
* [Autonomous driving vehicles (Computer Vision, Deep Learning)]([https://www.linkedin.com/pulse/autonomous-driving-vehicles-computer-vision-deep-farshid-pirahansiah-1/](https://www.linkedin.com/pulse/autonomous-driving-vehicles-computer-vision-deep-farshid-pirahansiah-1/)
* [Thresholding]([https://www.linkedin.com/pulse/thresholding-farshid-pirahansiah/](https://www.linkedin.com/pulse/thresholding-farshid-pirahansiah/)
###
Slides slideshare
* Deep Learning for Computer Vision in Ubuntu 19; Part 1 installation [Link]([https://www.slideshare.net/pirahansiah/deep-learning-for-computer-vision-in-ubuntu-19-part-1-installation](https://www.slideshare.net/pirahansiah/deep-learning-for-computer-vision-in-ubuntu-19-part-1-installation)
* Using Deep Learning for Computer Vision Applications [Link]([https://www.slideshare.net/pirahansiah/using-deep-learning-for-computer-vision-applications](https://www.slideshare.net/pirahansiah/using-deep-learning-for-computer-vision-applications) )
* tensorflow1.3 digits6.0 Caffe [Link]([https://www.slideshare.net/pirahansiah/farshid-tensorflow13-digits60caffe](https://www.slideshare.net/pirahansiah/farshid-tensorflow13-digits60caffe) )
* Install TensorFlow 1.2 on macOS Sierra on MacBook (June 2017) [Link]([https://www.slideshare.net/pirahansiah/install-tensorflow-12-on-macos-sierra-on-macbook-june-2017](https://www.slideshare.net/pirahansiah/install-tensorflow-12-on-macos-sierra-on-macbook-june-2017) )
* Best Deep Learning Post from LinkedIn Group [Link]([https://www.slideshare.net/pirahansiah/best-deep-learning-post-from-linkedin-group](https://www.slideshare.net/pirahansiah/best-deep-learning-post-from-linkedin-group) )
* Install, Compile, Setup, Setting OpenCV 3.2, Visual C++ 2015, Win 64bit [Link]([https://www.slideshare.net/pirahansiah/install-compile-setup-setting-opencv-32-visual-c-2015-win-64bit](https://www.slideshare.net/pirahansiah/install-compile-setup-setting-opencv-32-visual-c-2015-win-64bit) )
* Layers in Deep Learning&Caffe layers (model architecture ) [Link]([https://www.slideshare.net/pirahansiah/layers-in-deep-learningcaffe-layers-model-architecture](https://www.slideshare.net/pirahansiah/layers-in-deep-learningcaffe-layers-model-architecture) )
* How to install Digits 5.1 on Ubuntu 14 [Link]([https://www.slideshare.net/pirahansiah/how-to-install-digits-51-on-ubuntu-14](https://www.slideshare.net/pirahansiah/how-to-install-digits-51-on-ubuntu-14) )
* Deep Learning for Video Analysis – part 1 (DeepStream SDK) [NVIDIA TensorRT || NVIDIA GPU Inference Engine (GIE)] [Link]([https://www.slideshare.net/pirahansiah/deep-learning-for-video-analysis-part-1-deepstream-sdk-nvidia-tensorrt-nvidia-gpu-inference-engine-gie](https://www.slideshare.net/pirahansiah/deep-learning-for-video-analysis-part-1-deepstream-sdk-nvidia-tensorrt-nvidia-gpu-inference-engine-gie) )
* Computer Vision, Deep Learning, OpenCV [Link]([https://www.slideshare.net/pirahansiah/computer-vision-deep-learning-opencv](https://www.slideshare.net/pirahansiah/computer-vision-deep-learning-opencv) )
###
Online Courses
* [Writing with Impact ](https://www.linkedin.com/learning/writing-with-impact)
* [Balancing Work and Life ](https://www.linkedin.com/learning/balancing-work-and-life)
* [Finance Foundations: Income Taxes ](https://www.linkedin.com/learning/finance-foundations-income-taxes-2)
* [Starting a Business with Family and Friends ](https://www.linkedin.com/learning/starting-a-business-with-family-and-friends)
* [Finance Essentials for Small Business ](https://www.linkedin.com/learning/finance-essentials-for-small-business)
* [Setting Up Your Small Business as a Legal Entity ](https://www.linkedin.com/learning/setting-up-your-small-business-as-a-legal-entity)
* [Creating a Business Plan ](https://www.linkedin.com/learning/creating-a-business-plan-2)
* [Understanding Business ](https://www.linkedin.com/learning/understanding-business)
* [Entrepreneurship: Finding and Testing Your Business Idea ](https://www.linkedin.com/learning/entrepreneurship-finding-and-testing-your-business-idea)
* [Guy Kawasaki on Entrepreneurship ](https://www.linkedin.com/learning/guy-kawasaki-on-entrepreneurship)
* [Financial Modeling Foundations ](https://www.linkedin.com/learning/financial-modeling-foundations)
* [Financial Accounting Foundations ](https://www.linkedin.com/learning/financial-accounting-foundations)
* [Strategic Planning Foundations ](https://www.linkedin.com/learning/strategic-planning-foundations)
* [5 Personal Finance Tips ](https://www.linkedin.com/learning/5-personal-finance-tips)
* [Investment Evaluation ](https://www.linkedin.com/learning/investment-evaluation)
* [Managing Your Personal Investments ](https://www.linkedin.com/learning/managing-your-personal-investments)
* [Financial Wellness: Managing Personal Cash Flow ](https://www.linkedin.com/learning/financial-wellness-managing-personal-cash-flow)
* [Financial Wellness for Couples and Families ](https://www.linkedin.com/learning/financial-wellness-for-couples-and-families)
* [Managing Your Personal Finances ](https://www.linkedin.com/learning/managing-your-personal-finances)
* [Finance Foundations ](https://www.linkedin.com/learning/finance-foundations-2)
* [Entrepreneurship Foundations ](https://www.linkedin.com/learning/entrepreneurship-foundations-2)
* [Introduction to Deep Learning with OpenCV ](https://www.linkedin.com/learning/introduction-to-deep-learning-with-opencv)
* [OpenCV for Python Developers ](https://www.linkedin.com/learning/opencv-for-python-developers)
* [Brad Feld on Validating Your Startup Idea ](https://www.linkedin.com/learning/brad-feld-on-validating-your-startup-idea)
* [Brad Feld on Raising Capital ](https://www.linkedin.com/learning/brad-feld-on-raising-capital)
* [Take a More Creative Approach to Problem-Solving ](https://www.linkedin.com/learning/take-a-more-creative-approach-to-problem-solving)
* [Professional Networking ](https://www.linkedin.com/learning/professional-networking)
* [Building Relationships While Working from Home ](https://www.linkedin.com/learning/building-relationships-while-working-from-home)
* [Entrepreneurship: Raising Startup Capital ](https://www.linkedin.com/learning/entrepreneurship-raising-startup-capital)
* [Business Analysis Foundations: Business Process Modeling ](https://www.linkedin.com/learning/business-analysis-foundations-business-process-modeling)
* [Communicating with Confidence ](https://www.linkedin.com/learning/communicating-with-confidence)
* [Machine Learning for iOS Developers ](https://www.linkedin.com/learning/machine-learning-for-ios-developers)
###
Learning path
* [Stay Ahead in Personal Finance ](https://www.linkedin.com/learning/paths/stay-ahead-in-personal-finance)
* [Become a Small Business Owner ](https://www.linkedin.com/learning/paths/become-a-small-business-owner)
#
Completed
###
Reference
[https://drive.google.com/file/d/1xd5TZlEZnUUieXzw3Lxn3Sv7MwIajU_W/view?usp=sharing](https://drive.google.com/file/d/1xd5TZlEZnUUieXzw3Lxn3Sv7MwIajU_W/view?usp=sharing)
###
Link of best Groups
* [LinkedIn: Computer Vision, Deep Learning, Deep Reinforcement Learning, GANs, OpenCV, Caffe, TensorFlow,PyTorch](https://www.linkedin.com/groups/10320678/)
* [Source code](https://gitlab.com/pirahansiah)
* [Facebook : Deep Learning, Computer Vision, Robotics ](https://web.facebook.com/groups/185926728115336/)
* [The link to one-note notebook ](https://1drv.ms/u/s!AhG15hrdT9JOgR5GZgPjve65F-e5)
* [GitHub](https://github.com/pirahansiah)
###
Books
* [The Art of Startup Fundraising](https://www.amazon.de/-/en/Alejandro-Cremades-ebook/dp/B01DQ3GY3Y)
* [Mathematics for Machine Learning](https://mml-book.github.io/)
* Principles of Economics (6th edition)
* The E-Myth Revisited Why Most Small Businesses Don't Work and What to Do About It
* Clean Code: A Handbook of Agile Software Craftsmanship (Robert C. Martin)
* Reinventing Your Life: The Breakthough Program to End Negative Behavior
* Ways Of Thinking: The Limits Of Rational Thought And Artificial Intelligence
* [https://images.kw.com/docs/2/1/2/212345/1285134779158_htwfaip.pdf](https://images.kw.com/docs/2/1/2/212345/1285134779158_htwfaip.pdf)
* * [Computer Vision: Algorithms and Applications](http://szeliski.org/Book/)
* [Multiple View Geometry in Computer Vision Second Edition](https://www.robots.ox.ac.uk/~vgg/hzbook/)
* [Complete to download the latest draft of Machine Learning Yearning](https://www.deeplearning.ai/machine-learning-yearning/)
* Multiple view geometry in computer vision
* Learning OpenCV Book by Adrian Kaehler and Gary Bradski
* Digital Image Processing, Global Edition by Rafael C. Gonzalez
* Introduction to Algorithms, 3rd Edition (The MIT Press)
* The Mythical Man-Month: Essays on Software Engineering
* [OpenCV-4-with-Python-Blueprints-Second-Edition](https://github.com/PacktPublishing/OpenCV-4-with-Python-Blueprints-Second-Edition)
###
Videos
* [https://www.youtube.com/computervisiondeeplearning](https://www.youtube.com/computervisiondeeplearning)
* [Two Minute Papers](https://www.youtube.com/c/K%C3%A1rolyZsolnai/videos)
* [Conference on Pattern Recognition](https://www.gcpr-vmv-vcbm-2020.uni-tuebingen.de/)
* [https://researchseminars.org/?fbclid=IwAR0Ly9WLONBMBteYI7IhlRaMYR_rQR6YrpdxLG_sUxPxGYKQhB0SOTmcjgY](https://researchseminars.org/?fbclid=IwAR0Ly9WLONBMBteYI7IhlRaMYR_rQR6YrpdxLG_sUxPxGYKQhB0SOTmcjgY)
###
Papers
* CALTag: High Precision Fiducial Markers for Camera
* Diatom Autofocusing in Brightfield Microscopy: a Comparative Study
* Analysis of focus measure operators in shape-from-focus
* Optical flow modeling and computation: A survey
* Toward general type 2 fuzzy logic systems based on zSlices
###
Site
* [Research Tools By: Nader Ale Ebrahim](https://www.mindmeister.com/39583892/research-tools-by-nader-ale-ebrahim?t=HMmnzlA4zN) ([MindMap](https://www.mindmeister.com/39583892/research-tools-by-nader-ale-ebrahim?fullscreen=1#))
Reference-
ComputerVisionDeepLearning.pdf
* [https://virgool.io/@r_alimorady/easy-install-cuda-document-hhk6nuylvl1w](https://virgool.io/@r_alimorady/easy-install-cuda-document-hhk6nuylvl1w)
* [https://techcommunity.microsoft.com/t5/azure-ai/introducing-multivariate-anomaly-detection/ba-p/2260679](https://techcommunity.microsoft.com/t5/azure-ai/introducing-multivariate-anomaly-detection/ba-p/2260679)
* [https://www.freertos.org/index.html](https://www.freertos.org/index.html)
* [https://en.wikipedia.org/wiki/Knowledge_distillation](https://en.wikipedia.org/wiki/Knowledge_distillation)
* [https://80000hours.org/2015/10/startup-salaries-and-equity-compensation/](https://80000hours.org/2015/10/startup-salaries-and-equity-compensation/)
* [https://www.thecvf.com/?page_id=413](https://www.thecvf.com/?page_id=413)
* [https://levelup.gitconnected.com/s-o-l-i-d-principles-explained-in-python-with-examples-83b2b43bdcde?gi=a1fee170c917](https://levelup.gitconnected.com/s-o-l-i-d-principles-explained-in-python-with-examples-83b2b43bdcde?gi=a1fee170c917)
* [https://arxiv.org/pdf/2104.13921.pdf](https://arxiv.org/pdf/2104.13921.pdf)
* [https://blog.paperspace.com/object-detection-directed-mask-r-cnn-keras/](https://blog.paperspace.com/object-detection-directed-mask-r-cnn-keras/)
* [https://pub.towardsai.net/will-transformers-replace-cnns-in-computer-vision-55657a196833](https://pub.towardsai.net/will-transformers-replace-cnns-in-computer-vision-55657a196833)
* [https://medium.com/@daviddelaiglesiacastro/3d-point-cloud-generation-from-3d-triangular-mesh-bbb602ecf238](https://medium.com/@daviddelaiglesiacastro/3d-point-cloud-generation-from-3d-triangular-mesh-bbb602ecf238)
*
[https://koinly.io/](https://koinly.io/)
site map: octopus.do
[https://www.startupgermany.nrw/startup-
contest/](https://www.startupgermany.nrw/startup-contest/)
[https://www.kickstarter.com/projects/opencv/opencv-ai-kit-oak-depth-
camera-4k-cv-edge-object-
detection/description](https://www.kickstarter.com/projects/opencv/opencv-ai-
kit-oak-depth-camera-4k-cv-edge-object-detection/description)
[HOW I GAINED 68,000 SUBSCRIBERS IN A YEAR! | My Strategy to Grow on YouTube
in 2021! - YouTube
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# Links
pirahansiah, Personal, Roadmap, Books, Online Courses
[](https://drive.google.com/open?id=1ELXvmqcSciCK8-TUVsyVRnYTuxnKta-_xze-
oXQexwY "Open Spreadsheet, Links in new window")
Links
Links from my research and interest
AI in RISC-V
Mixed reality
Old Links
Reference
Link Groups
Top website
Python
Computer Vision
Documents
Business
Tools
Patents
Books
Journal Papers
Conference Papers
Articles on LinkedIn
Slides slideshare
Online Courses
Learning path
Completed
Reference
Link of best Groups
Books
Videos
Papers
Site
Efficient Video Dataset Loading and Augmentation in PyTorch for deep learning
training loops.
GitHub[ https://lnkd.in/gpR8idsp](https://lnkd.in/gpR8idsp)
[https://remmina.org/how-to-install-remmina/](https://remmina.org/how-to-
install-remmina/)
[https://readme.so/](https://readme.so/)
#
Links from my research and interest
[Build Better Generative Adversarial Networks (GANs) - Andrew Ng -
2021](https://www.youtube.com/playlist?list=PLuv1FSpHurUfl44GWqaCzEhGP-aP_-
VnF)
[https://www.oreilly.com/library/view/flow-
architectures/9781492075882/](https://www.oreilly.com/library/view/flow-
architectures/9781492075882/)
##
AI in RISC-V
* [RISC-V hardware & software ecosystem highlights in 2020](https://www.cnx-software.com/2020/12/10/risc-v-hardware-software-ecosystem-highlights-in-2020)
##
Mixed reality
* [https://github.com/MIT-SPARK/Kimera](https://github.com/MIT-SPARK/Kimera)
* Kimera is a C++ library for real-time metric-semantic simultaneous localization and mapping, which uses camera images and inertial data to build a semantically annotated 3D mesh of the environment. Kimera is modular, ROS-enabled, and runs on a CPU.
#
Old Links
###
Reference
[https://drive.google.com/file/d/1xd5TZlEZnUUieXzw3Lxn3Sv7MwIajU_W/view?usp=sharing](https://drive.google.com/file/d/1xd5TZlEZnUUieXzw3Lxn3Sv7MwIajU_W/view?usp=sharing)
###
Link Groups
* [LinkedIn: Computer Vision, Deep Learning, Deep Reinforcement Learning, GANs, OpenCV, Caffe, TensorFlow,PyTorch](https://www.linkedin.com/groups/10320678/)
* [Source code](https://gitlab.com/pirahansiah)
* [Facebook : Deep Learning, Computer Vision, Robotics ](https://web.facebook.com/groups/185926728115336/)
* [The link to one-note notebook ](https://1drv.ms/u/s!AhG15hrdT9JOgR5GZgPjve65F-e5)
* [GitHub](https://github.com/pirahansiah)
###
Top website
* [https://paperswithcode.com/](https://paperswithcode.com/)
* [https://www.learnthepart.com/](https://www.learnthepart.com/)
* [https://hackaday.com/](https://hackaday.com/)
* [https://medium.com/@pirahansiah/timesaver-626019137fa9?sk=cde3334919d6c16ba0964fe021a24762](https://medium.com/@pirahansiah/timesaver-626019137fa9?sk=cde3334919d6c16ba0964fe021a24762)
* hbrew install youtube-dl
* [https://www.masterclass.com/](https://www.masterclass.com/)
* [Deep Learning for coders (2020)](https://www.youtube.com/user/howardjeremyp)
* [Deep Learning for Video](https://mcv-m6-video.github.io/deepvideo-2019/) (Master in Computer Vision Barcelona)
* [Augmented Reality using ArUco Markers in OpenCV (C++ / Python)](https://www.learnopencv.com/augmented-reality-using-aruco-markers-in-opencv-c-python/)
* [https://explainshell.com/](https://explainshell.com/)
* [https://stackoverflow.blog/2020/02/12/when-laziness-is-efficient-make-the-most-of-your-command-line/](https://stackoverflow.blog/2020/02/12/when-laziness-is-efficient-make-the-most-of-your-command-line/?utm_source=Iterable&utm_medium=email&utm_campaign=the_overflow_newsletter&utm_content=02-19-20)
* [https://link.medium.com/XA49Ke0Jt4](https://link.medium.com/XA49Ke0Jt4)
* [https://link.medium.com/Np0YEy1Jt4](https://link.medium.com/Np0YEy1Jt4)
###
Python
* [How to Write Beautiful Python Code With PEP 8](https://realpython.com/python-pep8/)
* [PEP 622 -- Structural Pattern Matching](https://www.python.org/dev/peps/pep-0622/)
* [Monitor Your Dependencies! Stop Being A Blind Data-Scientist.](https://towardsdatascience.com/monitor-your-dependencies-stop-being-a-blind-data-scientist-a3150bd64594)
###
Computer Vision
* [Hybrid CV/DL pipelines with OpenCV 4.4 G-API](https://opencv.org/hybrid-cv-dl-pipelines-with-opencv-4-4-g-api/)
* [PaddleDetection is an end-to-end object detection development kit based on PaddlePaddle, which aims to help developers in the whole development of training models, optimizing performance and inference speed, and deploying models. ](https://github.com/PaddlePaddle/PaddleDetection/blob/release/0.4/README_en.md)
* [https://github.com/google/mediapipe](https://github.com/google/mediapipe)
###
Documents
* [https://book.keybase.io/docs](https://book.keybase.io/docs)
* [kind is a tool for running local Kubernetes clusters using Docker container "nodes".](https://github.com/kubernetes-sigs/kind)
* [FINN is an experimental framework from Xilinx Research Labs to explore deep neural network inference on FPGAs. ](https://xilinx.github.io/finn/)
* [Gitter is a chat and networking platform that helps to manage, grow and connect communities through messaging, content and discovery.](https://gitter.im/)
* [Fair and useful benchmarks for measuring training and inference performance of ML hardware, software, and services.](https://mlperf.org/)
* [https://kepler.gl/demo](https://kepler.gl/demo)
* [Open source, highly available Prometheus setup with long term storage capabilities.](https://thanos.io/)
* [Deep Learning Design Patterns - Jr Data Scientist - Part 3 - Alternative Connectivity Patterns](https://www.youtube.com/watch?v=JI-MButCqUE)
###
Business
* [5 Ways to Make More Money as a Coach or Consultant](https://www.entrepreneur.com/article/283006)
* [https://www.youtube.com/watch?v=njx09wXb9o0&list=PLnhdsL4kFmVYMNq6F8k8UiFkc6fwIdk3o&index=5](https://www.youtube.com/watch?v=njx09wXb9o0&list=PLnhdsL4kFmVYMNq6F8k8UiFkc6fwIdk3o&index=5)
###
Tools
* Free convert video for mac opensource
* [https://github.com/HandBrake/HandBrake](https://github.com/HandBrake/HandBrake)
* [https://handbrake.fr/rotation.php?file=HandBrake-1.3.3.dmg](https://handbrake.fr/rotation.php?file=HandBrake-1.3.3.dmg)
* [global-gitignore.md](https://gist.github.com/subfuzion/db7f57fff2fb6998a16c)
* [https://nextbillion.ai/](https://nextbillion.ai/) Mapping platform built for enterprises
* [https://github.com/ondras/my-mind](https://github.com/ondras/my-mind) MindMap
* [Create and share beautiful images of your source code.](https://carbon.now.sh/)
* [Web IDE](https://replit.com/templates)
* [https://github.com/jely2002/youtube-dl-gui/releases/tag/v2.2.2](https://github.com/jely2002/youtube-dl-gui/releases/tag/v2.2.2)
###
Patents
[https://patents.google.com/?inventor=pirahansiah&oq=pirahansiah](https://patents.google.com/?inventor=pirahansiah&oq=pirahansiah)
1. System and method for providing advertisement contents based on facial analysis (WO2020141969A2)
2. A method for augmenting a plurality of face images (WO2021060971A1)
3. A method for detecting a moving vehicle (WO2021107761A1)
1. System and method for providing advertisement contents based on facial analysis (WO2020141969A2)
The present invention relates to a system (100) for providing advertisement
contents based on facial analysis comprising an image acquisition device (10)
to acquire an image of a user, a face detection module (20) to detect face of
the user in the image, an analysis module (40) to analyse the facial features
statistically using classification models retrieved from a classification
module (30), a database (60) to store matching rules, weighted advertisements
and a plurality of advertisement contents; and a display device (80) to
display the advertisement contents. The system (100) further comprises a
computation module (50) to compute weighted image of the user and a matching
module (70) to match the weighted image of the user with the weighted
advertisement to select an advertisement content based on facial analysis of
the user. A method of providing the advertisement contents based on facial
analysis is also provided thereof.
[https://patentimages.storage.googleapis.com/ff/3f/a5/e7b42ef58d8a03/WO2020141969A2.pdf](https://patentimages.storage.googleapis.com/ff/3f/a5/e7b42ef58d8a03/WO2020141969A2.pdf)
2. A method for augmenting a plurality of face images (WO2021060971A1)
The present invention relates to a method for increasing data for face
analysis in video surveillance. The method comprises the steps of acquiring at
least one face image from an image acquisition module (102), acquiring a
plurality of face images available on the internet using a data input module
(104), increasing face images by at least one data augmentation module (106
and 107), generating a plurality of face images based on a trained Generative
Adversarial Network, GAN technique by using a GAN module, selecting proper
images based on quality of the face images using a fuzzy logic module (111),
saving the selected images into a fifth database, and training the deep
learning module (113).
[https://patentimages.storage.googleapis.com/b8/d9/7f/ea8a5b789e1dad/WO2021060971A1.pdf](https://patentimages.storage.googleapis.com/b8/d9/7f/ea8a5b789e1dad/WO2021060971A1.pdf)
3. A method for detecting a moving vehicle (WO2021107761A1)
The present invention relates to a method for detecting a moving vehicle. The
method comprises the steps of grabbing an initial image from a video stream by
a vehicle detection module (1100), wherein the vehicle detection module (1100)
is a part of a system (1000) to identify moving vehicle, enhancing the
illumination of the initial image by the vehicle detection module (1100),
enhancing the edges within the initial image by the vehicle detection module
(1100), and finding vehicle based on homogenous properties of the body of the
vehicle by the vehicle detection module (1100). The step of finding vehicle
based on homogenous property of the body of the vehicle by the vehicle
detection module (1100) further comprising the sub-steps of closing open
edges, inverting the binary image, segmenting an inverted binary image,
filtering the noise based on geometric feature, and filtering the noise based
on relation.
[https://patentimages.storage.googleapis.com/16/41/83/2576e20c4a0af5/WO2021107761A1.pdf](https://patentimages.storage.googleapis.com/16/41/83/2576e20c4a0af5/WO2021107761A1.pdf)
###
Books
1. [book chapter titled “Camera Calibration and Video Stabilization Framework for Robot Localization” in the Book entitled “Control Engineering in Robotics and Industrial Automation" which will be published (24/07/2021) in Springer. ](https://www.waterstones.com/book/control-engineering-in-robotics-and-industrial-automation/muralindran-mariappan/mohd-rizal-arshad/9783030745394)
2. [book chapter titled “Augmented Optical Flow Methods for Video Stabilization", In Computational Intelligence: from theory to application. (2017) (p18). ](http://www.ukm.my/penerbit/penerbitan-2017/)
###
Journal Papers
* Using An Ant Colony Optimization Algorithm For Image Edge Detection As A Threshold Segmentation For OCR System Journal of Theoretical & Applied Information Technology, 95(21)
* * [http://www.jatit.org/volumes/Vol95No21/1Vol95No21.pdf](http://www.jatit.org/volumes/Vol95No21/1Vol95No21.pdf)
* GSFT-PSNR: Global Single Fuzzy Threshold Based on PSNR for OCR Systems, International Journal of Computer Science and Network Solutions 4(6)
* * [https://www.ijcsns.com/June.2016-Volume.4-No.6/Article01.pdf](https://www.ijcsns.com/June.2016-Volume.4-No.6/Article01.pdf)
* Adaptive Image Thresholding based On the Peak Signal-To-Noise Ratio, Research Journal of Applied Sciences, Engineering and Technology 8(9).
* * [http://www.academia.edu/download/44161592/Adaptive_Image_Thresholding_Based_on_the20160328-31366-1wyb1jc.pdf](http://www.academia.edu/download/44161592/Adaptive_Image_Thresholding_Based_on_the20160328-31366-1wyb1jc.pdf)
* Simultaneous Localization and Mapping Trends and Humanoid Robot Linkages, Asia-Pacific Journal of Information Technology and Multimedia (APJITM)
* * [http://journalarticle.ukm.my/6644/1/4429-10302-1-SM.pdf](http://journalarticle.ukm.my/6644/1/4429-10302-1-SM.pdf)
* Peak Signal-To-Noise Ratio Based On Threshold Method for Image Segmentation, Journal of Theoretical & Applied Information Technology, 57(2)
* * [http://www.jatit.org/volumes/Vol57No2/4Vol57No2.pdf](http://www.jatit.org/volumes/Vol57No2/4Vol57No2.pdf)
* Character recognition based on global feature extraction; Journal of Theoretical and Applied Information Technology 52
* * [http://www.jatit.org/volumes/Vol52No2/6Vol52No2.pdf](http://www.jatit.org/volumes/Vol52No2/6Vol52No2.pdf)
###
Conference Papers
* Pattern Image Significance for Camera Calibration, IEEE Student Conference on Research and Development (SCOReD 2017)
* [http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8305440&isnumber=8305342](http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8305440&isnumber=8305342)
* Augmented optical flow methods for video stabilization. 4th Artificial Intelligence Technology Postgraduate Seminar (CAITPS 2015)
* [http://www.academia.edu/download/45596617/farshid.pdf](http://www.academia.edu/download/45596617/farshid.pdf)
* Auto-Calibration for Multi-Modal Robot Vision based on Image Quality Assessment, The 10th Asian Control Conference (ASCC 2015)
* [https://doi.org/10.1109/ASCC.2015.7360336](https://doi.org/10.1109/ASCC.2015.7360336)
* 2D versus 3D Map for Environment Movement Objects, Second National Doctoral Seminar in Artificial Intelligence Technology (CAIT 2012)
* [http://www.ftsm.ukm.my/cait2012/images/Program%20Schedule%20CAIT2012.pdf](http://www.ftsm.ukm.my/cait2012/images/Program%20Schedule%20CAIT2012.pdf)
* Comparison Single Thresholding Method for Image Segmentation on Handwritten Images, International Conference on Pattern Analysis and Intelligent Robotics
* [https://doi.org/10.1109/ICPAIR.2011.5976918](https://doi.org/10.1109/ICPAIR.2011.5976918)
* License Plate Recognition with Multi-Threshold Based on Entropy, 3rd International Conference on Electrical Engineering and Informatics (ICEEI 2011)
* [https://doi.org/10.1109/ICEEI.2011.6021627](https://doi.org/10.1109/ICEEI.2011.6021627)
* Character recognition based on global feature extraction, 3rd International Conference On Electrical Engineering and Informatics (ICEEI 2011)
* [https://pdfs.semanticscholar.org/2d22/66bfb2f5ba5cb40b5946b82c620dc713d793.pdf](https://pdfs.semanticscholar.org/2d22/66bfb2f5ba5cb40b5946b82c620dc713d793.pdf)
* [https://doi.org/10.1109/ICEEI.2011.6021649](https://doi.org/10.1109/ICEEI.2011.6021649)
* Tafresh Grid: Grid computing in Tafresh university," 2011 IEEE 3rd International Conference on Communication Software and Networks, Xi'an, 2011, pp. 83-85.
* [http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6014009&isnumber=6013532](http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6014009&isnumber=6013532)
* Adaptive image segmentation based on Peak Signal to Noise Ratio for a license plate Recognition system, International Conference on Computer Applications and Industrial Electronics (ICCAIE 2010)
* [https://doi.org/10.1109/ICCAIE.2010.5735125](https://doi.org/10.1109/ICCAIE.2010.5735125)
* [http://www.academia.edu/download/44161592/Adaptive_Image_Thresholding_Based_on_the20160328-31366-1wyb1jc.pdf](http://www.academia.edu/download/44161592/Adaptive_Image_Thresholding_Based_on_the20160328-31366-1wyb1jc.pdf)
* Multi-threshold approach for license plate recognition system, International Conference on Signal and Image Processing WASET ICSIP 2010:1046-1050
* [http://waset.org/publications/3636](http://waset.org/publications/3636)
* An evaluation of classification techniques using enhanced Geometrical Topological Feature Analysis, 2nd Malaysian Joint Conference on Artificial Intelligence (MJCAI 2010)
* [https://scholar.google.com/scholar?oi=bibs&cluster=3038184255311332521&btnI=1&hl=en](https://scholar.google.com/scholar?oi=bibs&cluster=3038184255311332521&btnI=1&hl=en)
###
Articles on LinkedIn
* [ADRL: Advanced Deep Reinforcement Learning {Patents and papers; Main point summary on recently published research on DRL} (draft version Feb 2019) ]([https://www.linkedin.com/pulse/patents-papers-adrl-advanced-deep-reinforcement-feb-pirahansiah-phd/](https://www.linkedin.com/pulse/patents-papers-adrl-advanced-deep-reinforcement-feb-pirahansiah-phd/))
* [The most important research papers for deep learning (updated December, 2017)]([https://www.linkedin.com/pulse/most-important-research-papers-deep-learning-updated-2017-farshid/](https://www.linkedin.com/pulse/most-important-research-papers-deep-learning-updated-2017-farshid/) )
* [List of useful links (Videos, Slides, Articles) for Deep Learning ]([https://www.linkedin.com/pulse/list-useful-links-videos-slides-articles-deep-farshid-pirahansiah/](https://www.linkedin.com/pulse/list-useful-links-videos-slides-articles-deep-farshid-pirahansiah/))
* [Autonomous driving vehicles (Computer Vision, Deep Learning)]([https://www.linkedin.com/pulse/autonomous-driving-vehicles-computer-vision-deep-farshid-pirahansiah-1/](https://www.linkedin.com/pulse/autonomous-driving-vehicles-computer-vision-deep-farshid-pirahansiah-1/)
* [Thresholding]([https://www.linkedin.com/pulse/thresholding-farshid-pirahansiah/](https://www.linkedin.com/pulse/thresholding-farshid-pirahansiah/)
###
Slides slideshare
* Deep Learning for Computer Vision in Ubuntu 19; Part 1 installation [Link]([https://www.slideshare.net/pirahansiah/deep-learning-for-computer-vision-in-ubuntu-19-part-1-installation](https://www.slideshare.net/pirahansiah/deep-learning-for-computer-vision-in-ubuntu-19-part-1-installation)
* Using Deep Learning for Computer Vision Applications [Link]([https://www.slideshare.net/pirahansiah/using-deep-learning-for-computer-vision-applications](https://www.slideshare.net/pirahansiah/using-deep-learning-for-computer-vision-applications) )
* tensorflow1.3 digits6.0 Caffe [Link]([https://www.slideshare.net/pirahansiah/farshid-tensorflow13-digits60caffe](https://www.slideshare.net/pirahansiah/farshid-tensorflow13-digits60caffe) )
* Install TensorFlow 1.2 on macOS Sierra on MacBook (June 2017) [Link]([https://www.slideshare.net/pirahansiah/install-tensorflow-12-on-macos-sierra-on-macbook-june-2017](https://www.slideshare.net/pirahansiah/install-tensorflow-12-on-macos-sierra-on-macbook-june-2017) )
* Best Deep Learning Post from LinkedIn Group [Link]([https://www.slideshare.net/pirahansiah/best-deep-learning-post-from-linkedin-group](https://www.slideshare.net/pirahansiah/best-deep-learning-post-from-linkedin-group) )
* Install, Compile, Setup, Setting OpenCV 3.2, Visual C++ 2015, Win 64bit [Link]([https://www.slideshare.net/pirahansiah/install-compile-setup-setting-opencv-32-visual-c-2015-win-64bit](https://www.slideshare.net/pirahansiah/install-compile-setup-setting-opencv-32-visual-c-2015-win-64bit) )
* Layers in Deep Learning&Caffe layers (model architecture ) [Link]([https://www.slideshare.net/pirahansiah/layers-in-deep-learningcaffe-layers-model-architecture](https://www.slideshare.net/pirahansiah/layers-in-deep-learningcaffe-layers-model-architecture) )
* How to install Digits 5.1 on Ubuntu 14 [Link]([https://www.slideshare.net/pirahansiah/how-to-install-digits-51-on-ubuntu-14](https://www.slideshare.net/pirahansiah/how-to-install-digits-51-on-ubuntu-14) )
* Deep Learning for Video Analysis – part 1 (DeepStream SDK) [NVIDIA TensorRT || NVIDIA GPU Inference Engine (GIE)] [Link]([https://www.slideshare.net/pirahansiah/deep-learning-for-video-analysis-part-1-deepstream-sdk-nvidia-tensorrt-nvidia-gpu-inference-engine-gie](https://www.slideshare.net/pirahansiah/deep-learning-for-video-analysis-part-1-deepstream-sdk-nvidia-tensorrt-nvidia-gpu-inference-engine-gie) )
* Computer Vision, Deep Learning, OpenCV [Link]([https://www.slideshare.net/pirahansiah/computer-vision-deep-learning-opencv](https://www.slideshare.net/pirahansiah/computer-vision-deep-learning-opencv) )
###
Online Courses
* [Writing with Impact ](https://www.linkedin.com/learning/writing-with-impact)
* [Balancing Work and Life ](https://www.linkedin.com/learning/balancing-work-and-life)
* [Finance Foundations: Income Taxes ](https://www.linkedin.com/learning/finance-foundations-income-taxes-2)
* [Starting a Business with Family and Friends ](https://www.linkedin.com/learning/starting-a-business-with-family-and-friends)
* [Finance Essentials for Small Business ](https://www.linkedin.com/learning/finance-essentials-for-small-business)
* [Setting Up Your Small Business as a Legal Entity ](https://www.linkedin.com/learning/setting-up-your-small-business-as-a-legal-entity)
* [Creating a Business Plan ](https://www.linkedin.com/learning/creating-a-business-plan-2)
* [Understanding Business ](https://www.linkedin.com/learning/understanding-business)
* [Entrepreneurship: Finding and Testing Your Business Idea ](https://www.linkedin.com/learning/entrepreneurship-finding-and-testing-your-business-idea)
* [Guy Kawasaki on Entrepreneurship ](https://www.linkedin.com/learning/guy-kawasaki-on-entrepreneurship)
* [Financial Modeling Foundations ](https://www.linkedin.com/learning/financial-modeling-foundations)
* [Financial Accounting Foundations ](https://www.linkedin.com/learning/financial-accounting-foundations)
* [Strategic Planning Foundations ](https://www.linkedin.com/learning/strategic-planning-foundations)
* [5 Personal Finance Tips ](https://www.linkedin.com/learning/5-personal-finance-tips)
* [Investment Evaluation ](https://www.linkedin.com/learning/investment-evaluation)
* [Managing Your Personal Investments ](https://www.linkedin.com/learning/managing-your-personal-investments)
* [Financial Wellness: Managing Personal Cash Flow ](https://www.linkedin.com/learning/financial-wellness-managing-personal-cash-flow)
* [Financial Wellness for Couples and Families ](https://www.linkedin.com/learning/financial-wellness-for-couples-and-families)
* [Managing Your Personal Finances ](https://www.linkedin.com/learning/managing-your-personal-finances)
* [Finance Foundations ](https://www.linkedin.com/learning/finance-foundations-2)
* [Entrepreneurship Foundations ](https://www.linkedin.com/learning/entrepreneurship-foundations-2)
* [Introduction to Deep Learning with OpenCV ](https://www.linkedin.com/learning/introduction-to-deep-learning-with-opencv)
* [OpenCV for Python Developers ](https://www.linkedin.com/learning/opencv-for-python-developers)
* [Brad Feld on Validating Your Startup Idea ](https://www.linkedin.com/learning/brad-feld-on-validating-your-startup-idea)
* [Brad Feld on Raising Capital ](https://www.linkedin.com/learning/brad-feld-on-raising-capital)
* [Take a More Creative Approach to Problem-Solving ](https://www.linkedin.com/learning/take-a-more-creative-approach-to-problem-solving)
* [Professional Networking ](https://www.linkedin.com/learning/professional-networking)
* [Building Relationships While Working from Home ](https://www.linkedin.com/learning/building-relationships-while-working-from-home)
* [Entrepreneurship: Raising Startup Capital ](https://www.linkedin.com/learning/entrepreneurship-raising-startup-capital)
* [Business Analysis Foundations: Business Process Modeling ](https://www.linkedin.com/learning/business-analysis-foundations-business-process-modeling)
* [Communicating with Confidence ](https://www.linkedin.com/learning/communicating-with-confidence)
* [Machine Learning for iOS Developers ](https://www.linkedin.com/learning/machine-learning-for-ios-developers)
###
Learning path
* [Stay Ahead in Personal Finance ](https://www.linkedin.com/learning/paths/stay-ahead-in-personal-finance)
* [Become a Small Business Owner ](https://www.linkedin.com/learning/paths/become-a-small-business-owner)
#
Completed
###
Reference
[https://drive.google.com/file/d/1xd5TZlEZnUUieXzw3Lxn3Sv7MwIajU_W/view?usp=sharing](https://drive.google.com/file/d/1xd5TZlEZnUUieXzw3Lxn3Sv7MwIajU_W/view?usp=sharing)
###
Link of best Groups
* [LinkedIn: Computer Vision, Deep Learning, Deep Reinforcement Learning, GANs, OpenCV, Caffe, TensorFlow,PyTorch](https://www.linkedin.com/groups/10320678/)
* [Source code](https://gitlab.com/pirahansiah)
* [Facebook : Deep Learning, Computer Vision, Robotics ](https://web.facebook.com/groups/185926728115336/)
* [The link to one-note notebook ](https://1drv.ms/u/s!AhG15hrdT9JOgR5GZgPjve65F-e5)
* [GitHub](https://github.com/pirahansiah)
###
Books
* [The Art of Startup Fundraising](https://www.amazon.de/-/en/Alejandro-Cremades-ebook/dp/B01DQ3GY3Y)
* [Mathematics for Machine Learning](https://mml-book.github.io/)
* Principles of Economics (6th edition)
* The E-Myth Revisited Why Most Small Businesses Don't Work and What to Do About It
* Clean Code: A Handbook of Agile Software Craftsmanship (Robert C. Martin)
* Reinventing Your Life: The Breakthough Program to End Negative Behavior
* Ways Of Thinking: The Limits Of Rational Thought And Artificial Intelligence
* [https://images.kw.com/docs/2/1/2/212345/1285134779158_htwfaip.pdf](https://images.kw.com/docs/2/1/2/212345/1285134779158_htwfaip.pdf)
* * [Computer Vision: Algorithms and Applications](http://szeliski.org/Book/)
* [Multiple View Geometry in Computer Vision Second Edition](https://www.robots.ox.ac.uk/~vgg/hzbook/)
* [Complete to download the latest draft of Machine Learning Yearning](https://www.deeplearning.ai/machine-learning-yearning/)
* Multiple view geometry in computer vision
* Learning OpenCV Book by Adrian Kaehler and Gary Bradski
* Digital Image Processing, Global Edition by Rafael C. Gonzalez
* Introduction to Algorithms, 3rd Edition (The MIT Press)
* The Mythical Man-Month: Essays on Software Engineering
* [OpenCV-4-with-Python-Blueprints-Second-Edition](https://github.com/PacktPublishing/OpenCV-4-with-Python-Blueprints-Second-Edition)
###
Videos
* [https://www.youtube.com/computervisiondeeplearning](https://www.youtube.com/computervisiondeeplearning)
* [Two Minute Papers](https://www.youtube.com/c/K%C3%A1rolyZsolnai/videos)
* [Conference on Pattern Recognition](https://www.gcpr-vmv-vcbm-2020.uni-tuebingen.de/)
* [https://researchseminars.org/?fbclid=IwAR0Ly9WLONBMBteYI7IhlRaMYR_rQR6YrpdxLG_sUxPxGYKQhB0SOTmcjgY](https://researchseminars.org/?fbclid=IwAR0Ly9WLONBMBteYI7IhlRaMYR_rQR6YrpdxLG_sUxPxGYKQhB0SOTmcjgY)
###
Papers
* CALTag: High Precision Fiducial Markers for Camera
* Diatom Autofocusing in Brightfield Microscopy: a Comparative Study
* Analysis of focus measure operators in shape-from-focus
* Optical flow modeling and computation: A survey
* Toward general type 2 fuzzy logic systems based on zSlices
###
Site
* [Research Tools By: Nader Ale Ebrahim](https://www.mindmeister.com/39583892/research-tools-by-nader-ale-ebrahim?t=HMmnzlA4zN) ([MindMap](https://www.mindmeister.com/39583892/research-tools-by-nader-ale-ebrahim?fullscreen=1#))
Reference-
ComputerVisionDeepLearning.pdf
* [https://virgool.io/@r_alimorady/easy-install-cuda-document-hhk6nuylvl1w](https://virgool.io/@r_alimorady/easy-install-cuda-document-hhk6nuylvl1w)
* [https://techcommunity.microsoft.com/t5/azure-ai/introducing-multivariate-anomaly-detection/ba-p/2260679](https://techcommunity.microsoft.com/t5/azure-ai/introducing-multivariate-anomaly-detection/ba-p/2260679)
* [https://www.freertos.org/index.html](https://www.freertos.org/index.html)
* [https://en.wikipedia.org/wiki/Knowledge_distillation](https://en.wikipedia.org/wiki/Knowledge_distillation)
* [https://80000hours.org/2015/10/startup-salaries-and-equity-compensation/](https://80000hours.org/2015/10/startup-salaries-and-equity-compensation/)
* [https://www.thecvf.com/?page_id=413](https://www.thecvf.com/?page_id=413)
* [https://levelup.gitconnected.com/s-o-l-i-d-principles-explained-in-python-with-examples-83b2b43bdcde?gi=a1fee170c917](https://levelup.gitconnected.com/s-o-l-i-d-principles-explained-in-python-with-examples-83b2b43bdcde?gi=a1fee170c917)
* [https://arxiv.org/pdf/2104.13921.pdf](https://arxiv.org/pdf/2104.13921.pdf)
* [https://blog.paperspace.com/object-detection-directed-mask-r-cnn-keras/](https://blog.paperspace.com/object-detection-directed-mask-r-cnn-keras/)
* [https://pub.towardsai.net/will-transformers-replace-cnns-in-computer-vision-55657a196833](https://pub.towardsai.net/will-transformers-replace-cnns-in-computer-vision-55657a196833)
* [https://medium.com/@daviddelaiglesiacastro/3d-point-cloud-generation-from-3d-triangular-mesh-bbb602ecf238](https://medium.com/@daviddelaiglesiacastro/3d-point-cloud-generation-from-3d-triangular-mesh-bbb602ecf238)
*
[https://koinly.io/](https://koinly.io/)
site map: octopus.do
[https://www.startupgermany.nrw/startup-
contest/](https://www.startupgermany.nrw/startup-contest/)
[https://www.kickstarter.com/projects/opencv/opencv-ai-kit-oak-depth-
camera-4k-cv-edge-object-
detection/description](https://www.kickstarter.com/projects/opencv/opencv-ai-
kit-oak-depth-camera-4k-cv-edge-object-detection/description)
[HOW I GAINED 68,000 SUBSCRIBERS IN A YEAR! | My Strategy to Grow on YouTube
in 2021! - YouTube
](https://www.youtube.com/watch?v=bwd1dQr33K8&list=PLxC08P2Oexy2EJKezV02N9cp3-qOEh79Z)
[https://www.youtube.com/watch?v=bwd1dQr33K8&list=PLxC08P2Oexy2EJKezV02N9cp3-qOEh79Z](https://www.youtube.com/watch?v=bwd1dQr33K8&list=PLxC08P2Oexy2EJKezV02N9cp3-qOEh79Z)
[https://www.youtube.com/watch?v=cFdApmqlllg](https://www.youtube.com/watch?v=cFdApmqlllg)
[محمد رضا شجریان، آلبوم کامل در خیال -
YouTube](https://www.youtube.com/watch?v=cFdApmqlllg)
[دوره جامع گوگل آنالیتیکس(UA) |
آنالیتیپس](https://analytips.io/product/google-analyticsua/)
[رادیوگیک - شماره ۱۲۱ - ما این لارادیوگیک - شماره ۱۲۱ - ما این لا -
YouTube](https://www.youtube.com/watch?v=dzBLhio-DIc)
[Social Selling Index | Sales
Navigator](https://www.linkedin.com/sales/ssi?src=or-
search&veh=www.google.com)
[https://rschu.me/list-a-directory-with-tree-command-on-mac-
os-x-3b2d4c4a4827](https://rschu.me/list-a-directory-with-tree-command-on-mac-
os-x-3b2d4c4a4827)
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# Links
pirahansiah, Personal, Roadmap, Books, Online Courses
[](https://drive.google.com/open?id=1ELXvmqcSciCK8-TUVsyVRnYTuxnKta-_xze-
oXQexwY "Open Spreadsheet, Links in new window")
Links
Links from my research and interest
AI in RISC-V
Mixed reality
Old Links
Reference
Link Groups
Top website
Python
Computer Vision
Documents
Business
Tools
Patents
Books
Journal Papers
Conference Papers
Articles on LinkedIn
Slides slideshare
Online Courses
Learning path
Completed
Reference
Link of best Groups
Books
Videos
Papers
Site
Efficient Video Dataset Loading and Augmentation in PyTorch for deep learning
training loops.
GitHub[ https://lnkd.in/gpR8idsp](https://lnkd.in/gpR8idsp)
[https://remmina.org/how-to-install-remmina/](https://remmina.org/how-to-
install-remmina/)
[https://readme.so/](https://readme.so/)
#
Links from my research and interest
[Build Better Generative Adversarial Networks (GANs) - Andrew Ng -
2021](https://www.youtube.com/playlist?list=PLuv1FSpHurUfl44GWqaCzEhGP-aP_-
VnF)
[https://www.oreilly.com/library/view/flow-
architectures/9781492075882/](https://www.oreilly.com/library/view/flow-
architectures/9781492075882/)
##
AI in RISC-V
* [RISC-V hardware & software ecosystem highlights in 2020](https://www.cnx-software.com/2020/12/10/risc-v-hardware-software-ecosystem-highlights-in-2020)
##
Mixed reality
* [https://github.com/MIT-SPARK/Kimera](https://github.com/MIT-SPARK/Kimera)
* Kimera is a C++ library for real-time metric-semantic simultaneous localization and mapping, which uses camera images and inertial data to build a semantically annotated 3D mesh of the environment. Kimera is modular, ROS-enabled, and runs on a CPU.
#
Old Links
###
Reference
[https://drive.google.com/file/d/1xd5TZlEZnUUieXzw3Lxn3Sv7MwIajU_W/view?usp=sharing](https://drive.google.com/file/d/1xd5TZlEZnUUieXzw3Lxn3Sv7MwIajU_W/view?usp=sharing)
###
Link Groups
* [LinkedIn: Computer Vision, Deep Learning, Deep Reinforcement Learning, GANs, OpenCV, Caffe, TensorFlow,PyTorch](https://www.linkedin.com/groups/10320678/)
* [Source code](https://gitlab.com/pirahansiah)
* [Facebook : Deep Learning, Computer Vision, Robotics ](https://web.facebook.com/groups/185926728115336/)
* [The link to one-note notebook ](https://1drv.ms/u/s!AhG15hrdT9JOgR5GZgPjve65F-e5)
* [GitHub](https://github.com/pirahansiah)
###
Top website
* [https://paperswithcode.com/](https://paperswithcode.com/)
* [https://www.learnthepart.com/](https://www.learnthepart.com/)
* [https://hackaday.com/](https://hackaday.com/)
* [https://medium.com/@pirahansiah/timesaver-626019137fa9?sk=cde3334919d6c16ba0964fe021a24762](https://medium.com/@pirahansiah/timesaver-626019137fa9?sk=cde3334919d6c16ba0964fe021a24762)
* hbrew install youtube-dl
* [https://www.masterclass.com/](https://www.masterclass.com/)
* [Deep Learning for coders (2020)](https://www.youtube.com/user/howardjeremyp)
* [Deep Learning for Video](https://mcv-m6-video.github.io/deepvideo-2019/) (Master in Computer Vision Barcelona)
* [Augmented Reality using ArUco Markers in OpenCV (C++ / Python)](https://www.learnopencv.com/augmented-reality-using-aruco-markers-in-opencv-c-python/)
* [https://explainshell.com/](https://explainshell.com/)
* [https://stackoverflow.blog/2020/02/12/when-laziness-is-efficient-make-the-most-of-your-command-line/](https://stackoverflow.blog/2020/02/12/when-laziness-is-efficient-make-the-most-of-your-command-line/?utm_source=Iterable&utm_medium=email&utm_campaign=the_overflow_newsletter&utm_content=02-19-20)
* [https://link.medium.com/XA49Ke0Jt4](https://link.medium.com/XA49Ke0Jt4)
* [https://link.medium.com/Np0YEy1Jt4](https://link.medium.com/Np0YEy1Jt4)
###
Python
* [How to Write Beautiful Python Code With PEP 8](https://realpython.com/python-pep8/)
* [PEP 622 -- Structural Pattern Matching](https://www.python.org/dev/peps/pep-0622/)
* [Monitor Your Dependencies! Stop Being A Blind Data-Scientist.](https://towardsdatascience.com/monitor-your-dependencies-stop-being-a-blind-data-scientist-a3150bd64594)
###
Computer Vision
* [Hybrid CV/DL pipelines with OpenCV 4.4 G-API](https://opencv.org/hybrid-cv-dl-pipelines-with-opencv-4-4-g-api/)
* [PaddleDetection is an end-to-end object detection development kit based on PaddlePaddle, which aims to help developers in the whole development of training models, optimizing performance and inference speed, and deploying models. ](https://github.com/PaddlePaddle/PaddleDetection/blob/release/0.4/README_en.md)
* [https://github.com/google/mediapipe](https://github.com/google/mediapipe)
###
Documents
* [https://book.keybase.io/docs](https://book.keybase.io/docs)
* [kind is a tool for running local Kubernetes clusters using Docker container "nodes".](https://github.com/kubernetes-sigs/kind)
* [FINN is an experimental framework from Xilinx Research Labs to explore deep neural network inference on FPGAs. ](https://xilinx.github.io/finn/)
* [Gitter is a chat and networking platform that helps to manage, grow and connect communities through messaging, content and discovery.](https://gitter.im/)
* [Fair and useful benchmarks for measuring training and inference performance of ML hardware, software, and services.](https://mlperf.org/)
* [https://kepler.gl/demo](https://kepler.gl/demo)
* [Open source, highly available Prometheus setup with long term storage capabilities.](https://thanos.io/)
* [Deep Learning Design Patterns - Jr Data Scientist - Part 3 - Alternative Connectivity Patterns](https://www.youtube.com/watch?v=JI-MButCqUE)
###
Business
* [5 Ways to Make More Money as a Coach or Consultant](https://www.entrepreneur.com/article/283006)
* [https://www.youtube.com/watch?v=njx09wXb9o0&list=PLnhdsL4kFmVYMNq6F8k8UiFkc6fwIdk3o&index=5](https://www.youtube.com/watch?v=njx09wXb9o0&list=PLnhdsL4kFmVYMNq6F8k8UiFkc6fwIdk3o&index=5)
###
Tools
* Free convert video for mac opensource
* [https://github.com/HandBrake/HandBrake](https://github.com/HandBrake/HandBrake)
* [https://handbrake.fr/rotation.php?file=HandBrake-1.3.3.dmg](https://handbrake.fr/rotation.php?file=HandBrake-1.3.3.dmg)
* [global-gitignore.md](https://gist.github.com/subfuzion/db7f57fff2fb6998a16c)
* [https://nextbillion.ai/](https://nextbillion.ai/) Mapping platform built for enterprises
* [https://github.com/ondras/my-mind](https://github.com/ondras/my-mind) MindMap
* [Create and share beautiful images of your source code.](https://carbon.now.sh/)
* [Web IDE](https://replit.com/templates)
* [https://github.com/jely2002/youtube-dl-gui/releases/tag/v2.2.2](https://github.com/jely2002/youtube-dl-gui/releases/tag/v2.2.2)
###
Patents
[https://patents.google.com/?inventor=pirahansiah&oq=pirahansiah](https://patents.google.com/?inventor=pirahansiah&oq=pirahansiah)
1. System and method for providing advertisement contents based on facial analysis (WO2020141969A2)
2. A method for augmenting a plurality of face images (WO2021060971A1)
3. A method for detecting a moving vehicle (WO2021107761A1)
1. System and method for providing advertisement contents based on facial analysis (WO2020141969A2)
The present invention relates to a system (100) for providing advertisement
contents based on facial analysis comprising an image acquisition device (10)
to acquire an image of a user, a face detection module (20) to detect face of
the user in the image, an analysis module (40) to analyse the facial features
statistically using classification models retrieved from a classification
module (30), a database (60) to store matching rules, weighted advertisements
and a plurality of advertisement contents; and a display device (80) to
display the advertisement contents. The system (100) further comprises a
computation module (50) to compute weighted image of the user and a matching
module (70) to match the weighted image of the user with the weighted
advertisement to select an advertisement content based on facial analysis of
the user. A method of providing the advertisement contents based on facial
analysis is also provided thereof.
[https://patentimages.storage.googleapis.com/ff/3f/a5/e7b42ef58d8a03/WO2020141969A2.pdf](https://patentimages.storage.googleapis.com/ff/3f/a5/e7b42ef58d8a03/WO2020141969A2.pdf)
2. A method for augmenting a plurality of face images (WO2021060971A1)
The present invention relates to a method for increasing data for face
analysis in video surveillance. The method comprises the steps of acquiring at
least one face image from an image acquisition module (102), acquiring a
plurality of face images available on the internet using a data input module
(104), increasing face images by at least one data augmentation module (106
and 107), generating a plurality of face images based on a trained Generative
Adversarial Network, GAN technique by using a GAN module, selecting proper
images based on quality of the face images using a fuzzy logic module (111),
saving the selected images into a fifth database, and training the deep
learning module (113).
[https://patentimages.storage.googleapis.com/b8/d9/7f/ea8a5b789e1dad/WO2021060971A1.pdf](https://patentimages.storage.googleapis.com/b8/d9/7f/ea8a5b789e1dad/WO2021060971A1.pdf)
3. A method for detecting a moving vehicle (WO2021107761A1)
The present invention relates to a method for detecting a moving vehicle. The
method comprises the steps of grabbing an initial image from a video stream by
a vehicle detection module (1100), wherein the vehicle detection module (1100)
is a part of a system (1000) to identify moving vehicle, enhancing the
illumination of the initial image by the vehicle detection module (1100),
enhancing the edges within the initial image by the vehicle detection module
(1100), and finding vehicle based on homogenous properties of the body of the
vehicle by the vehicle detection module (1100). The step of finding vehicle
based on homogenous property of the body of the vehicle by the vehicle
detection module (1100) further comprising the sub-steps of closing open
edges, inverting the binary image, segmenting an inverted binary image,
filtering the noise based on geometric feature, and filtering the noise based
on relation.
[https://patentimages.storage.googleapis.com/16/41/83/2576e20c4a0af5/WO2021107761A1.pdf](https://patentimages.storage.googleapis.com/16/41/83/2576e20c4a0af5/WO2021107761A1.pdf)
###
Books
1. [book chapter titled “Camera Calibration and Video Stabilization Framework for Robot Localization” in the Book entitled “Control Engineering in Robotics and Industrial Automation" which will be published (24/07/2021) in Springer. ](https://www.waterstones.com/book/control-engineering-in-robotics-and-industrial-automation/muralindran-mariappan/mohd-rizal-arshad/9783030745394)
2. [book chapter titled “Augmented Optical Flow Methods for Video Stabilization", In Computational Intelligence: from theory to application. (2017) (p18). ](http://www.ukm.my/penerbit/penerbitan-2017/)
###
Journal Papers
* Using An Ant Colony Optimization Algorithm For Image Edge Detection As A Threshold Segmentation For OCR System Journal of Theoretical & Applied Information Technology, 95(21)
* * [http://www.jatit.org/volumes/Vol95No21/1Vol95No21.pdf](http://www.jatit.org/volumes/Vol95No21/1Vol95No21.pdf)
* GSFT-PSNR: Global Single Fuzzy Threshold Based on PSNR for OCR Systems, International Journal of Computer Science and Network Solutions 4(6)
* * [https://www.ijcsns.com/June.2016-Volume.4-No.6/Article01.pdf](https://www.ijcsns.com/June.2016-Volume.4-No.6/Article01.pdf)
* Adaptive Image Thresholding based On the Peak Signal-To-Noise Ratio, Research Journal of Applied Sciences, Engineering and Technology 8(9).
* * [http://www.academia.edu/download/44161592/Adaptive_Image_Thresholding_Based_on_the20160328-31366-1wyb1jc.pdf](http://www.academia.edu/download/44161592/Adaptive_Image_Thresholding_Based_on_the20160328-31366-1wyb1jc.pdf)
* Simultaneous Localization and Mapping Trends and Humanoid Robot Linkages, Asia-Pacific Journal of Information Technology and Multimedia (APJITM)
* * [http://journalarticle.ukm.my/6644/1/4429-10302-1-SM.pdf](http://journalarticle.ukm.my/6644/1/4429-10302-1-SM.pdf)
* Peak Signal-To-Noise Ratio Based On Threshold Method for Image Segmentation, Journal of Theoretical & Applied Information Technology, 57(2)
* * [http://www.jatit.org/volumes/Vol57No2/4Vol57No2.pdf](http://www.jatit.org/volumes/Vol57No2/4Vol57No2.pdf)
* Character recognition based on global feature extraction; Journal of Theoretical and Applied Information Technology 52
* * [http://www.jatit.org/volumes/Vol52No2/6Vol52No2.pdf](http://www.jatit.org/volumes/Vol52No2/6Vol52No2.pdf)
###
Conference Papers
* Pattern Image Significance for Camera Calibration, IEEE Student Conference on Research and Development (SCOReD 2017)
* [http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8305440&isnumber=8305342](http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8305440&isnumber=8305342)
* Augmented optical flow methods for video stabilization. 4th Artificial Intelligence Technology Postgraduate Seminar (CAITPS 2015)
* [http://www.academia.edu/download/45596617/farshid.pdf](http://www.academia.edu/download/45596617/farshid.pdf)
* Auto-Calibration for Multi-Modal Robot Vision based on Image Quality Assessment, The 10th Asian Control Conference (ASCC 2015)
* [https://doi.org/10.1109/ASCC.2015.7360336](https://doi.org/10.1109/ASCC.2015.7360336)
* 2D versus 3D Map for Environment Movement Objects, Second National Doctoral Seminar in Artificial Intelligence Technology (CAIT 2012)
* [http://www.ftsm.ukm.my/cait2012/images/Program%20Schedule%20CAIT2012.pdf](http://www.ftsm.ukm.my/cait2012/images/Program%20Schedule%20CAIT2012.pdf)
* Comparison Single Thresholding Method for Image Segmentation on Handwritten Images, International Conference on Pattern Analysis and Intelligent Robotics
* [https://doi.org/10.1109/ICPAIR.2011.5976918](https://doi.org/10.1109/ICPAIR.2011.5976918)
* License Plate Recognition with Multi-Threshold Based on Entropy, 3rd International Conference on Electrical Engineering and Informatics (ICEEI 2011)
* [https://doi.org/10.1109/ICEEI.2011.6021627](https://doi.org/10.1109/ICEEI.2011.6021627)
* Character recognition based on global feature extraction, 3rd International Conference On Electrical Engineering and Informatics (ICEEI 2011)
* [https://pdfs.semanticscholar.org/2d22/66bfb2f5ba5cb40b5946b82c620dc713d793.pdf](https://pdfs.semanticscholar.org/2d22/66bfb2f5ba5cb40b5946b82c620dc713d793.pdf)
* [https://doi.org/10.1109/ICEEI.2011.6021649](https://doi.org/10.1109/ICEEI.2011.6021649)
* Tafresh Grid: Grid computing in Tafresh university," 2011 IEEE 3rd International Conference on Communication Software and Networks, Xi'an, 2011, pp. 83-85.
* [http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6014009&isnumber=6013532](http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6014009&isnumber=6013532)
* Adaptive image segmentation based on Peak Signal to Noise Ratio for a license plate Recognition system, International Conference on Computer Applications and Industrial Electronics (ICCAIE 2010)
* [https://doi.org/10.1109/ICCAIE.2010.5735125](https://doi.org/10.1109/ICCAIE.2010.5735125)
* [http://www.academia.edu/download/44161592/Adaptive_Image_Thresholding_Based_on_the20160328-31366-1wyb1jc.pdf](http://www.academia.edu/download/44161592/Adaptive_Image_Thresholding_Based_on_the20160328-31366-1wyb1jc.pdf)
* Multi-threshold approach for license plate recognition system, International Conference on Signal and Image Processing WASET ICSIP 2010:1046-1050
* [http://waset.org/publications/3636](http://waset.org/publications/3636)
* An evaluation of classification techniques using enhanced Geometrical Topological Feature Analysis, 2nd Malaysian Joint Conference on Artificial Intelligence (MJCAI 2010)
* [https://scholar.google.com/scholar?oi=bibs&cluster=3038184255311332521&btnI=1&hl=en](https://scholar.google.com/scholar?oi=bibs&cluster=3038184255311332521&btnI=1&hl=en)
###
Articles on LinkedIn
* [ADRL: Advanced Deep Reinforcement Learning {Patents and papers; Main point summary on recently published research on DRL} (draft version Feb 2019) ]([https://www.linkedin.com/pulse/patents-papers-adrl-advanced-deep-reinforcement-feb-pirahansiah-phd/](https://www.linkedin.com/pulse/patents-papers-adrl-advanced-deep-reinforcement-feb-pirahansiah-phd/))
* [The most important research papers for deep learning (updated December, 2017)]([https://www.linkedin.com/pulse/most-important-research-papers-deep-learning-updated-2017-farshid/](https://www.linkedin.com/pulse/most-important-research-papers-deep-learning-updated-2017-farshid/) )
* [List of useful links (Videos, Slides, Articles) for Deep Learning ]([https://www.linkedin.com/pulse/list-useful-links-videos-slides-articles-deep-farshid-pirahansiah/](https://www.linkedin.com/pulse/list-useful-links-videos-slides-articles-deep-farshid-pirahansiah/))
* [Autonomous driving vehicles (Computer Vision, Deep Learning)]([https://www.linkedin.com/pulse/autonomous-driving-vehicles-computer-vision-deep-farshid-pirahansiah-1/](https://www.linkedin.com/pulse/autonomous-driving-vehicles-computer-vision-deep-farshid-pirahansiah-1/)
* [Thresholding]([https://www.linkedin.com/pulse/thresholding-farshid-pirahansiah/](https://www.linkedin.com/pulse/thresholding-farshid-pirahansiah/)
###
Slides slideshare
* Deep Learning for Computer Vision in Ubuntu 19; Part 1 installation [Link]([https://www.slideshare.net/pirahansiah/deep-learning-for-computer-vision-in-ubuntu-19-part-1-installation](https://www.slideshare.net/pirahansiah/deep-learning-for-computer-vision-in-ubuntu-19-part-1-installation)
* Using Deep Learning for Computer Vision Applications [Link]([https://www.slideshare.net/pirahansiah/using-deep-learning-for-computer-vision-applications](https://www.slideshare.net/pirahansiah/using-deep-learning-for-computer-vision-applications) )
* tensorflow1.3 digits6.0 Caffe [Link]([https://www.slideshare.net/pirahansiah/farshid-tensorflow13-digits60caffe](https://www.slideshare.net/pirahansiah/farshid-tensorflow13-digits60caffe) )
* Install TensorFlow 1.2 on macOS Sierra on MacBook (June 2017) [Link]([https://www.slideshare.net/pirahansiah/install-tensorflow-12-on-macos-sierra-on-macbook-june-2017](https://www.slideshare.net/pirahansiah/install-tensorflow-12-on-macos-sierra-on-macbook-june-2017) )
* Best Deep Learning Post from LinkedIn Group [Link]([https://www.slideshare.net/pirahansiah/best-deep-learning-post-from-linkedin-group](https://www.slideshare.net/pirahansiah/best-deep-learning-post-from-linkedin-group) )
* Install, Compile, Setup, Setting OpenCV 3.2, Visual C++ 2015, Win 64bit [Link]([https://www.slideshare.net/pirahansiah/install-compile-setup-setting-opencv-32-visual-c-2015-win-64bit](https://www.slideshare.net/pirahansiah/install-compile-setup-setting-opencv-32-visual-c-2015-win-64bit) )
* Layers in Deep Learning&Caffe layers (model architecture ) [Link]([https://www.slideshare.net/pirahansiah/layers-in-deep-learningcaffe-layers-model-architecture](https://www.slideshare.net/pirahansiah/layers-in-deep-learningcaffe-layers-model-architecture) )
* How to install Digits 5.1 on Ubuntu 14 [Link]([https://www.slideshare.net/pirahansiah/how-to-install-digits-51-on-ubuntu-14](https://www.slideshare.net/pirahansiah/how-to-install-digits-51-on-ubuntu-14) )
* Deep Learning for Video Analysis – part 1 (DeepStream SDK) [NVIDIA TensorRT || NVIDIA GPU Inference Engine (GIE)] [Link]([https://www.slideshare.net/pirahansiah/deep-learning-for-video-analysis-part-1-deepstream-sdk-nvidia-tensorrt-nvidia-gpu-inference-engine-gie](https://www.slideshare.net/pirahansiah/deep-learning-for-video-analysis-part-1-deepstream-sdk-nvidia-tensorrt-nvidia-gpu-inference-engine-gie) )
* Computer Vision, Deep Learning, OpenCV [Link]([https://www.slideshare.net/pirahansiah/computer-vision-deep-learning-opencv](https://www.slideshare.net/pirahansiah/computer-vision-deep-learning-opencv) )
###
Online Courses
* [Writing with Impact ](https://www.linkedin.com/learning/writing-with-impact)
* [Balancing Work and Life ](https://www.linkedin.com/learning/balancing-work-and-life)
* [Finance Foundations: Income Taxes ](https://www.linkedin.com/learning/finance-foundations-income-taxes-2)
* [Starting a Business with Family and Friends ](https://www.linkedin.com/learning/starting-a-business-with-family-and-friends)
* [Finance Essentials for Small Business ](https://www.linkedin.com/learning/finance-essentials-for-small-business)
* [Setting Up Your Small Business as a Legal Entity ](https://www.linkedin.com/learning/setting-up-your-small-business-as-a-legal-entity)
* [Creating a Business Plan ](https://www.linkedin.com/learning/creating-a-business-plan-2)
* [Understanding Business ](https://www.linkedin.com/learning/understanding-business)
* [Entrepreneurship: Finding and Testing Your Business Idea ](https://www.linkedin.com/learning/entrepreneurship-finding-and-testing-your-business-idea)
* [Guy Kawasaki on Entrepreneurship ](https://www.linkedin.com/learning/guy-kawasaki-on-entrepreneurship)
* [Financial Modeling Foundations ](https://www.linkedin.com/learning/financial-modeling-foundations)
* [Financial Accounting Foundations ](https://www.linkedin.com/learning/financial-accounting-foundations)
* [Strategic Planning Foundations ](https://www.linkedin.com/learning/strategic-planning-foundations)
* [5 Personal Finance Tips ](https://www.linkedin.com/learning/5-personal-finance-tips)
* [Investment Evaluation ](https://www.linkedin.com/learning/investment-evaluation)
* [Managing Your Personal Investments ](https://www.linkedin.com/learning/managing-your-personal-investments)
* [Financial Wellness: Managing Personal Cash Flow ](https://www.linkedin.com/learning/financial-wellness-managing-personal-cash-flow)
* [Financial Wellness for Couples and Families ](https://www.linkedin.com/learning/financial-wellness-for-couples-and-families)
* [Managing Your Personal Finances ](https://www.linkedin.com/learning/managing-your-personal-finances)
* [Finance Foundations ](https://www.linkedin.com/learning/finance-foundations-2)
* [Entrepreneurship Foundations ](https://www.linkedin.com/learning/entrepreneurship-foundations-2)
* [Introduction to Deep Learning with OpenCV ](https://www.linkedin.com/learning/introduction-to-deep-learning-with-opencv)
* [OpenCV for Python Developers ](https://www.linkedin.com/learning/opencv-for-python-developers)
* [Brad Feld on Validating Your Startup Idea ](https://www.linkedin.com/learning/brad-feld-on-validating-your-startup-idea)
* [Brad Feld on Raising Capital ](https://www.linkedin.com/learning/brad-feld-on-raising-capital)
* [Take a More Creative Approach to Problem-Solving ](https://www.linkedin.com/learning/take-a-more-creative-approach-to-problem-solving)
* [Professional Networking ](https://www.linkedin.com/learning/professional-networking)
* [Building Relationships While Working from Home ](https://www.linkedin.com/learning/building-relationships-while-working-from-home)
* [Entrepreneurship: Raising Startup Capital ](https://www.linkedin.com/learning/entrepreneurship-raising-startup-capital)
* [Business Analysis Foundations: Business Process Modeling ](https://www.linkedin.com/learning/business-analysis-foundations-business-process-modeling)
* [Communicating with Confidence ](https://www.linkedin.com/learning/communicating-with-confidence)
* [Machine Learning for iOS Developers ](https://www.linkedin.com/learning/machine-learning-for-ios-developers)
###
Learning path
* [Stay Ahead in Personal Finance ](https://www.linkedin.com/learning/paths/stay-ahead-in-personal-finance)
* [Become a Small Business Owner ](https://www.linkedin.com/learning/paths/become-a-small-business-owner)
#
Completed
###
Reference
[https://drive.google.com/file/d/1xd5TZlEZnUUieXzw3Lxn3Sv7MwIajU_W/view?usp=sharing](https://drive.google.com/file/d/1xd5TZlEZnUUieXzw3Lxn3Sv7MwIajU_W/view?usp=sharing)
###
Link of best Groups
* [LinkedIn: Computer Vision, Deep Learning, Deep Reinforcement Learning, GANs, OpenCV, Caffe, TensorFlow,PyTorch](https://www.linkedin.com/groups/10320678/)
* [Source code](https://gitlab.com/pirahansiah)
* [Facebook : Deep Learning, Computer Vision, Robotics ](https://web.facebook.com/groups/185926728115336/)
* [The link to one-note notebook ](https://1drv.ms/u/s!AhG15hrdT9JOgR5GZgPjve65F-e5)
* [GitHub](https://github.com/pirahansiah)
###
Books
* [The Art of Startup Fundraising](https://www.amazon.de/-/en/Alejandro-Cremades-ebook/dp/B01DQ3GY3Y)
* [Mathematics for Machine Learning](https://mml-book.github.io/)
* Principles of Economics (6th edition)
* The E-Myth Revisited Why Most Small Businesses Don't Work and What to Do About It
* Clean Code: A Handbook of Agile Software Craftsmanship (Robert C. Martin)
* Reinventing Your Life: The Breakthough Program to End Negative Behavior
* Ways Of Thinking: The Limits Of Rational Thought And Artificial Intelligence
* [https://images.kw.com/docs/2/1/2/212345/1285134779158_htwfaip.pdf](https://images.kw.com/docs/2/1/2/212345/1285134779158_htwfaip.pdf)
* * [Computer Vision: Algorithms and Applications](http://szeliski.org/Book/)
* [Multiple View Geometry in Computer Vision Second Edition](https://www.robots.ox.ac.uk/~vgg/hzbook/)
* [Complete to download the latest draft of Machine Learning Yearning](https://www.deeplearning.ai/machine-learning-yearning/)
* Multiple view geometry in computer vision
* Learning OpenCV Book by Adrian Kaehler and Gary Bradski
* Digital Image Processing, Global Edition by Rafael C. Gonzalez
* Introduction to Algorithms, 3rd Edition (The MIT Press)
* The Mythical Man-Month: Essays on Software Engineering
* [OpenCV-4-with-Python-Blueprints-Second-Edition](https://github.com/PacktPublishing/OpenCV-4-with-Python-Blueprints-Second-Edition)
###
Videos
* [https://www.youtube.com/computervisiondeeplearning](https://www.youtube.com/computervisiondeeplearning)
* [Two Minute Papers](https://www.youtube.com/c/K%C3%A1rolyZsolnai/videos)
* [Conference on Pattern Recognition](https://www.gcpr-vmv-vcbm-2020.uni-tuebingen.de/)
* [https://researchseminars.org/?fbclid=IwAR0Ly9WLONBMBteYI7IhlRaMYR_rQR6YrpdxLG_sUxPxGYKQhB0SOTmcjgY](https://researchseminars.org/?fbclid=IwAR0Ly9WLONBMBteYI7IhlRaMYR_rQR6YrpdxLG_sUxPxGYKQhB0SOTmcjgY)
###
Papers
* CALTag: High Precision Fiducial Markers for Camera
* Diatom Autofocusing in Brightfield Microscopy: a Comparative Study
* Analysis of focus measure operators in shape-from-focus
* Optical flow modeling and computation: A survey
* Toward general type 2 fuzzy logic systems based on zSlices
###
Site
* [Research Tools By: Nader Ale Ebrahim](https://www.mindmeister.com/39583892/research-tools-by-nader-ale-ebrahim?t=HMmnzlA4zN) ([MindMap](https://www.mindmeister.com/39583892/research-tools-by-nader-ale-ebrahim?fullscreen=1#))
Reference-
ComputerVisionDeepLearning.pdf
* [https://virgool.io/@r_alimorady/easy-install-cuda-document-hhk6nuylvl1w](https://virgool.io/@r_alimorady/easy-install-cuda-document-hhk6nuylvl1w)
* [https://techcommunity.microsoft.com/t5/azure-ai/introducing-multivariate-anomaly-detection/ba-p/2260679](https://techcommunity.microsoft.com/t5/azure-ai/introducing-multivariate-anomaly-detection/ba-p/2260679)
* [https://www.freertos.org/index.html](https://www.freertos.org/index.html)
* [https://en.wikipedia.org/wiki/Knowledge_distillation](https://en.wikipedia.org/wiki/Knowledge_distillation)
* [https://80000hours.org/2015/10/startup-salaries-and-equity-compensation/](https://80000hours.org/2015/10/startup-salaries-and-equity-compensation/)
* [https://www.thecvf.com/?page_id=413](https://www.thecvf.com/?page_id=413)
* [https://levelup.gitconnected.com/s-o-l-i-d-principles-explained-in-python-with-examples-83b2b43bdcde?gi=a1fee170c917](https://levelup.gitconnected.com/s-o-l-i-d-principles-explained-in-python-with-examples-83b2b43bdcde?gi=a1fee170c917)
* [https://arxiv.org/pdf/2104.13921.pdf](https://arxiv.org/pdf/2104.13921.pdf)
* [https://blog.paperspace.com/object-detection-directed-mask-r-cnn-keras/](https://blog.paperspace.com/object-detection-directed-mask-r-cnn-keras/)
* [https://pub.towardsai.net/will-transformers-replace-cnns-in-computer-vision-55657a196833](https://pub.towardsai.net/will-transformers-replace-cnns-in-computer-vision-55657a196833)
* [https://medium.com/@daviddelaiglesiacastro/3d-point-cloud-generation-from-3d-triangular-mesh-bbb602ecf238](https://medium.com/@daviddelaiglesiacastro/3d-point-cloud-generation-from-3d-triangular-mesh-bbb602ecf238)
*
[https://koinly.io/](https://koinly.io/)
site map: octopus.do
[https://www.startupgermany.nrw/startup-
contest/](https://www.startupgermany.nrw/startup-contest/)
[https://www.kickstarter.com/projects/opencv/opencv-ai-kit-oak-depth-
camera-4k-cv-edge-object-
detection/description](https://www.kickstarter.com/projects/opencv/opencv-ai-
kit-oak-depth-camera-4k-cv-edge-object-detection/description)
[HOW I GAINED 68,000 SUBSCRIBERS IN A YEAR! | My Strategy to Grow on YouTube
in 2021! - YouTube
](https://www.youtube.com/watch?v=bwd1dQr33K8&list=PLxC08P2Oexy2EJKezV02N9cp3-qOEh79Z)
[https://www.youtube.com/watch?v=bwd1dQr33K8&list=PLxC08P2Oexy2EJKezV02N9cp3-qOEh79Z](https://www.youtube.com/watch?v=bwd1dQr33K8&list=PLxC08P2Oexy2EJKezV02N9cp3-qOEh79Z)
[https://www.youtube.com/watch?v=cFdApmqlllg](https://www.youtube.com/watch?v=cFdApmqlllg)
[محمد رضا شجریان، آلبوم کامل در خیال -
YouTube](https://www.youtube.com/watch?v=cFdApmqlllg)
[دوره جامع گوگل آنالیتیکس(UA) |
آنالیتیپس](https://analytips.io/product/google-analyticsua/)
[رادیوگیک - شماره ۱۲۱ - ما این لارادیوگیک - شماره ۱۲۱ - ما این لا -
YouTube](https://www.youtube.com/watch?v=dzBLhio-DIc)
[Social Selling Index | Sales
Navigator](https://www.linkedin.com/sales/ssi?src=or-
search&veh=www.google.com)
[https://rschu.me/list-a-directory-with-tree-command-on-mac-
os-x-3b2d4c4a4827](https://rschu.me/list-a-directory-with-tree-command-on-mac-
os-x-3b2d4c4a4827)
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* [Cloud-Native](/courses/cloud-native)
* [IoT Scholarship Foundation](/courses/iot-scholarship-foundation)
* [TensorFlow: Data and Deployment Specialization ](/courses/tensorflow-data-and-deployment-specialization)
* [Workshops and Events](/workshops-and-events)
* [RISC-V](/workshops-and-events/risc-v)
* [Edge-AI-summit](/workshops-and-events/edge-ai-summit)
* [Embedded IoT](/workshops-and-events/embedded-iot)
* [Tesla](/workshops-and-events/tesla)
* [AI-Hardware](/workshops-and-events/ai-hardware)
* [OpenVINO Deep Learning](/workshops-and-events/openvino-deep-learning)
* [Metaverse](/workshops-and-events/metaverse)
* [Workshops](/workshops-and-events/workshops)
* [IFA2022](/workshops-and-events/ifa2022)
* [Book Summary ](/book-summary)
* [commonplace book](/book-summary/commonplace-book)
* [knowledge_management](/book-summary/knowledge_management)
* [PKM](/book-summary/knowledge_management/pkm)
* [Topics and Projects](/topics-and-projects)
* [AI_Hub](/topics-and-projects/ai_hub)
* [ChatGPT](/topics-and-projects/chatgpt)
* [How to start](/topics-and-projects/how-to-start)
* [YouTube](/topics-and-projects/how-to-start/youtube)
* [YouTube II](/topics-and-projects/how-to-start/youtube-ii)
* [Software](/topics-and-projects/how-to-start/software)
* [Roadmap for Image Processing ](/topics-and-projects/how-to-start/roadmap-for-image-processing)
* [Source Code](/topics-and-projects/source-code)
* [OpenCV](/topics-and-projects/source-code/opencv)
* [CPP](/topics-and-projects/source-code/opencv/cpp)
* [python](/topics-and-projects/source-code/opencv/python)
* [MacOS+OpenCV](/topics-and-projects/source-code/opencv/macos-opencv)
* [Rust](/topics-and-projects/source-code/opencv/rust)
* [compile](/topics-and-projects/source-code/compile)
* [IoT](/topics-and-projects/source-code/iot)
* [Share](/topics-and-projects/share)
* [Video Tracking](/topics-and-projects/video-tracking)
* [Camera_Calibration](/topics-and-projects/camera_calibration)
* [DRL](/topics-and-projects/drl)
* [Hardware](/topics-and-projects/hardware)
* [Quantum Computing](/topics-and-projects/quantum-computing)
* [AltCoin](/topics-and-projects/altcoin)
* [Resume_CV](/topics-and-projects/resume_cv)
* [فارسی](/topics-and-projects/فارسی)
* [Apple](/topics-and-projects/apple)
* [startup](/topics-and-projects/startup)
* [Links](/links)
* [amazon](/links/amazon)
* [About](/about)
* [FQA](/about/fqa)
[Computer
Vision, Deep Learning, Artificial superintelligence (ASI)](/home)
# Links
pirahansiah, Personal, Roadmap, Books, Online Courses
[](https://drive.google.com/open?id=1ELXvmqcSciCK8-TUVsyVRnYTuxnKta-_xze-
oXQexwY "Open Spreadsheet, Links in new window")
Links
Links from my research and interest
AI in RISC-V
Mixed reality
Old Links
Reference
Link Groups
Top website
Python
Computer Vision
Documents
Business
Tools
Patents
Books
Journal Papers
Conference Papers
Articles on LinkedIn
Slides slideshare
Online Courses
Learning path
Completed
Reference
Link of best Groups
Books
Videos
Papers
Site
Efficient Video Dataset Loading and Augmentation in PyTorch for deep learning
training loops.
GitHub[ https://lnkd.in/gpR8idsp](https://lnkd.in/gpR8idsp)
[https://remmina.org/how-to-install-remmina/](https://remmina.org/how-to-
install-remmina/)
[https://readme.so/](https://readme.so/)
#
Links from my research and interest
[Build Better Generative Adversarial Networks (GANs) - Andrew Ng -
2021](https://www.youtube.com/playlist?list=PLuv1FSpHurUfl44GWqaCzEhGP-aP_-
VnF)
[https://www.oreilly.com/library/view/flow-
architectures/9781492075882/](https://www.oreilly.com/library/view/flow-
architectures/9781492075882/)
##
AI in RISC-V
* [RISC-V hardware & software ecosystem highlights in 2020](https://www.cnx-software.com/2020/12/10/risc-v-hardware-software-ecosystem-highlights-in-2020)
##
Mixed reality
* [https://github.com/MIT-SPARK/Kimera](https://github.com/MIT-SPARK/Kimera)
* Kimera is a C++ library for real-time metric-semantic simultaneous localization and mapping, which uses camera images and inertial data to build a semantically annotated 3D mesh of the environment. Kimera is modular, ROS-enabled, and runs on a CPU.
#
Old Links
###
Reference
[https://drive.google.com/file/d/1xd5TZlEZnUUieXzw3Lxn3Sv7MwIajU_W/view?usp=sharing](https://drive.google.com/file/d/1xd5TZlEZnUUieXzw3Lxn3Sv7MwIajU_W/view?usp=sharing)
###
Link Groups
* [LinkedIn: Computer Vision, Deep Learning, Deep Reinforcement Learning, GANs, OpenCV, Caffe, TensorFlow,PyTorch](https://www.linkedin.com/groups/10320678/)
* [Source code](https://gitlab.com/pirahansiah)
* [Facebook : Deep Learning, Computer Vision, Robotics ](https://web.facebook.com/groups/185926728115336/)
* [The link to one-note notebook ](https://1drv.ms/u/s!AhG15hrdT9JOgR5GZgPjve65F-e5)
* [GitHub](https://github.com/pirahansiah)
###
Top website
* [https://paperswithcode.com/](https://paperswithcode.com/)
* [https://www.learnthepart.com/](https://www.learnthepart.com/)
* [https://hackaday.com/](https://hackaday.com/)
* [https://medium.com/@pirahansiah/timesaver-626019137fa9?sk=cde3334919d6c16ba0964fe021a24762](https://medium.com/@pirahansiah/timesaver-626019137fa9?sk=cde3334919d6c16ba0964fe021a24762)
* hbrew install youtube-dl
* [https://www.masterclass.com/](https://www.masterclass.com/)
* [Deep Learning for coders (2020)](https://www.youtube.com/user/howardjeremyp)
* [Deep Learning for Video](https://mcv-m6-video.github.io/deepvideo-2019/) (Master in Computer Vision Barcelona)
* [Augmented Reality using ArUco Markers in OpenCV (C++ / Python)](https://www.learnopencv.com/augmented-reality-using-aruco-markers-in-opencv-c-python/)
* [https://explainshell.com/](https://explainshell.com/)
* [https://stackoverflow.blog/2020/02/12/when-laziness-is-efficient-make-the-most-of-your-command-line/](https://stackoverflow.blog/2020/02/12/when-laziness-is-efficient-make-the-most-of-your-command-line/?utm_source=Iterable&utm_medium=email&utm_campaign=the_overflow_newsletter&utm_content=02-19-20)
* [https://link.medium.com/XA49Ke0Jt4](https://link.medium.com/XA49Ke0Jt4)
* [https://link.medium.com/Np0YEy1Jt4](https://link.medium.com/Np0YEy1Jt4)
###
Python
* [How to Write Beautiful Python Code With PEP 8](https://realpython.com/python-pep8/)
* [PEP 622 -- Structural Pattern Matching](https://www.python.org/dev/peps/pep-0622/)
* [Monitor Your Dependencies! Stop Being A Blind Data-Scientist.](https://towardsdatascience.com/monitor-your-dependencies-stop-being-a-blind-data-scientist-a3150bd64594)
###
Computer Vision
* [Hybrid CV/DL pipelines with OpenCV 4.4 G-API](https://opencv.org/hybrid-cv-dl-pipelines-with-opencv-4-4-g-api/)
* [PaddleDetection is an end-to-end object detection development kit based on PaddlePaddle, which aims to help developers in the whole development of training models, optimizing performance and inference speed, and deploying models. ](https://github.com/PaddlePaddle/PaddleDetection/blob/release/0.4/README_en.md)
* [https://github.com/google/mediapipe](https://github.com/google/mediapipe)
###
Documents
* [https://book.keybase.io/docs](https://book.keybase.io/docs)
* [kind is a tool for running local Kubernetes clusters using Docker container "nodes".](https://github.com/kubernetes-sigs/kind)
* [FINN is an experimental framework from Xilinx Research Labs to explore deep neural network inference on FPGAs. ](https://xilinx.github.io/finn/)
* [Gitter is a chat and networking platform that helps to manage, grow and connect communities through messaging, content and discovery.](https://gitter.im/)
* [Fair and useful benchmarks for measuring training and inference performance of ML hardware, software, and services.](https://mlperf.org/)
* [https://kepler.gl/demo](https://kepler.gl/demo)
* [Open source, highly available Prometheus setup with long term storage capabilities.](https://thanos.io/)
* [Deep Learning Design Patterns - Jr Data Scientist - Part 3 - Alternative Connectivity Patterns](https://www.youtube.com/watch?v=JI-MButCqUE)
###
Business
* [5 Ways to Make More Money as a Coach or Consultant](https://www.entrepreneur.com/article/283006)
* [https://www.youtube.com/watch?v=njx09wXb9o0&list=PLnhdsL4kFmVYMNq6F8k8UiFkc6fwIdk3o&index=5](https://www.youtube.com/watch?v=njx09wXb9o0&list=PLnhdsL4kFmVYMNq6F8k8UiFkc6fwIdk3o&index=5)
###
Tools
* Free convert video for mac opensource
* [https://github.com/HandBrake/HandBrake](https://github.com/HandBrake/HandBrake)
* [https://handbrake.fr/rotation.php?file=HandBrake-1.3.3.dmg](https://handbrake.fr/rotation.php?file=HandBrake-1.3.3.dmg)
* [global-gitignore.md](https://gist.github.com/subfuzion/db7f57fff2fb6998a16c)
* [https://nextbillion.ai/](https://nextbillion.ai/) Mapping platform built for enterprises
* [https://github.com/ondras/my-mind](https://github.com/ondras/my-mind) MindMap
* [Create and share beautiful images of your source code.](https://carbon.now.sh/)
* [Web IDE](https://replit.com/templates)
* [https://github.com/jely2002/youtube-dl-gui/releases/tag/v2.2.2](https://github.com/jely2002/youtube-dl-gui/releases/tag/v2.2.2)
###
Patents
[https://patents.google.com/?inventor=pirahansiah&oq=pirahansiah](https://patents.google.com/?inventor=pirahansiah&oq=pirahansiah)
1. System and method for providing advertisement contents based on facial analysis (WO2020141969A2)
2. A method for augmenting a plurality of face images (WO2021060971A1)
3. A method for detecting a moving vehicle (WO2021107761A1)
1. System and method for providing advertisement contents based on facial analysis (WO2020141969A2)
The present invention relates to a system (100) for providing advertisement
contents based on facial analysis comprising an image acquisition device (10)
to acquire an image of a user, a face detection module (20) to detect face of
the user in the image, an analysis module (40) to analyse the facial features
statistically using classification models retrieved from a classification
module (30), a database (60) to store matching rules, weighted advertisements
and a plurality of advertisement contents; and a display device (80) to
display the advertisement contents. The system (100) further comprises a
computation module (50) to compute weighted image of the user and a matching
module (70) to match the weighted image of the user with the weighted
advertisement to select an advertisement content based on facial analysis of
the user. A method of providing the advertisement contents based on facial
analysis is also provided thereof.
[https://patentimages.storage.googleapis.com/ff/3f/a5/e7b42ef58d8a03/WO2020141969A2.pdf](https://patentimages.storage.googleapis.com/ff/3f/a5/e7b42ef58d8a03/WO2020141969A2.pdf)
2. A method for augmenting a plurality of face images (WO2021060971A1)
The present invention relates to a method for increasing data for face
analysis in video surveillance. The method comprises the steps of acquiring at
least one face image from an image acquisition module (102), acquiring a
plurality of face images available on the internet using a data input module
(104), increasing face images by at least one data augmentation module (106
and 107), generating a plurality of face images based on a trained Generative
Adversarial Network, GAN technique by using a GAN module, selecting proper
images based on quality of the face images using a fuzzy logic module (111),
saving the selected images into a fifth database, and training the deep
learning module (113).
[https://patentimages.storage.googleapis.com/b8/d9/7f/ea8a5b789e1dad/WO2021060971A1.pdf](https://patentimages.storage.googleapis.com/b8/d9/7f/ea8a5b789e1dad/WO2021060971A1.pdf)
3. A method for detecting a moving vehicle (WO2021107761A1)
The present invention relates to a method for detecting a moving vehicle. The
method comprises the steps of grabbing an initial image from a video stream by
a vehicle detection module (1100), wherein the vehicle detection module (1100)
is a part of a system (1000) to identify moving vehicle, enhancing the
illumination of the initial image by the vehicle detection module (1100),
enhancing the edges within the initial image by the vehicle detection module
(1100), and finding vehicle based on homogenous properties of the body of the
vehicle by the vehicle detection module (1100). The step of finding vehicle
based on homogenous property of the body of the vehicle by the vehicle
detection module (1100) further comprising the sub-steps of closing open
edges, inverting the binary image, segmenting an inverted binary image,
filtering the noise based on geometric feature, and filtering the noise based
on relation.
[https://patentimages.storage.googleapis.com/16/41/83/2576e20c4a0af5/WO2021107761A1.pdf](https://patentimages.storage.googleapis.com/16/41/83/2576e20c4a0af5/WO2021107761A1.pdf)
###
Books
1. [book chapter titled “Camera Calibration and Video Stabilization Framework for Robot Localization” in the Book entitled “Control Engineering in Robotics and Industrial Automation" which will be published (24/07/2021) in Springer. ](https://www.waterstones.com/book/control-engineering-in-robotics-and-industrial-automation/muralindran-mariappan/mohd-rizal-arshad/9783030745394)
2. [book chapter titled “Augmented Optical Flow Methods for Video Stabilization", In Computational Intelligence: from theory to application. (2017) (p18). ](http://www.ukm.my/penerbit/penerbitan-2017/)
###
Journal Papers
* Using An Ant Colony Optimization Algorithm For Image Edge Detection As A Threshold Segmentation For OCR System Journal of Theoretical & Applied Information Technology, 95(21)
* * [http://www.jatit.org/volumes/Vol95No21/1Vol95No21.pdf](http://www.jatit.org/volumes/Vol95No21/1Vol95No21.pdf)
* GSFT-PSNR: Global Single Fuzzy Threshold Based on PSNR for OCR Systems, International Journal of Computer Science and Network Solutions 4(6)
* * [https://www.ijcsns.com/June.2016-Volume.4-No.6/Article01.pdf](https://www.ijcsns.com/June.2016-Volume.4-No.6/Article01.pdf)
* Adaptive Image Thresholding based On the Peak Signal-To-Noise Ratio, Research Journal of Applied Sciences, Engineering and Technology 8(9).
* * [http://www.academia.edu/download/44161592/Adaptive_Image_Thresholding_Based_on_the20160328-31366-1wyb1jc.pdf](http://www.academia.edu/download/44161592/Adaptive_Image_Thresholding_Based_on_the20160328-31366-1wyb1jc.pdf)
* Simultaneous Localization and Mapping Trends and Humanoid Robot Linkages, Asia-Pacific Journal of Information Technology and Multimedia (APJITM)
* * [http://journalarticle.ukm.my/6644/1/4429-10302-1-SM.pdf](http://journalarticle.ukm.my/6644/1/4429-10302-1-SM.pdf)
* Peak Signal-To-Noise Ratio Based On Threshold Method for Image Segmentation, Journal of Theoretical & Applied Information Technology, 57(2)
* * [http://www.jatit.org/volumes/Vol57No2/4Vol57No2.pdf](http://www.jatit.org/volumes/Vol57No2/4Vol57No2.pdf)
* Character recognition based on global feature extraction; Journal of Theoretical and Applied Information Technology 52
* * [http://www.jatit.org/volumes/Vol52No2/6Vol52No2.pdf](http://www.jatit.org/volumes/Vol52No2/6Vol52No2.pdf)
###
Conference Papers
* Pattern Image Significance for Camera Calibration, IEEE Student Conference on Research and Development (SCOReD 2017)
* [http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8305440&isnumber=8305342](http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8305440&isnumber=8305342)
* Augmented optical flow methods for video stabilization. 4th Artificial Intelligence Technology Postgraduate Seminar (CAITPS 2015)
* [http://www.academia.edu/download/45596617/farshid.pdf](http://www.academia.edu/download/45596617/farshid.pdf)
* Auto-Calibration for Multi-Modal Robot Vision based on Image Quality Assessment, The 10th Asian Control Conference (ASCC 2015)
* [https://doi.org/10.1109/ASCC.2015.7360336](https://doi.org/10.1109/ASCC.2015.7360336)
* 2D versus 3D Map for Environment Movement Objects, Second National Doctoral Seminar in Artificial Intelligence Technology (CAIT 2012)
* [http://www.ftsm.ukm.my/cait2012/images/Program%20Schedule%20CAIT2012.pdf](http://www.ftsm.ukm.my/cait2012/images/Program%20Schedule%20CAIT2012.pdf)
* Comparison Single Thresholding Method for Image Segmentation on Handwritten Images, International Conference on Pattern Analysis and Intelligent Robotics
* [https://doi.org/10.1109/ICPAIR.2011.5976918](https://doi.org/10.1109/ICPAIR.2011.5976918)
* License Plate Recognition with Multi-Threshold Based on Entropy, 3rd International Conference on Electrical Engineering and Informatics (ICEEI 2011)
* [https://doi.org/10.1109/ICEEI.2011.6021627](https://doi.org/10.1109/ICEEI.2011.6021627)
* Character recognition based on global feature extraction, 3rd International Conference On Electrical Engineering and Informatics (ICEEI 2011)
* [https://pdfs.semanticscholar.org/2d22/66bfb2f5ba5cb40b5946b82c620dc713d793.pdf](https://pdfs.semanticscholar.org/2d22/66bfb2f5ba5cb40b5946b82c620dc713d793.pdf)
* [https://doi.org/10.1109/ICEEI.2011.6021649](https://doi.org/10.1109/ICEEI.2011.6021649)
* Tafresh Grid: Grid computing in Tafresh university," 2011 IEEE 3rd International Conference on Communication Software and Networks, Xi'an, 2011, pp. 83-85.
* [http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6014009&isnumber=6013532](http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6014009&isnumber=6013532)
* Adaptive image segmentation based on Peak Signal to Noise Ratio for a license plate Recognition system, International Conference on Computer Applications and Industrial Electronics (ICCAIE 2010)
* [https://doi.org/10.1109/ICCAIE.2010.5735125](https://doi.org/10.1109/ICCAIE.2010.5735125)
* [http://www.academia.edu/download/44161592/Adaptive_Image_Thresholding_Based_on_the20160328-31366-1wyb1jc.pdf](http://www.academia.edu/download/44161592/Adaptive_Image_Thresholding_Based_on_the20160328-31366-1wyb1jc.pdf)
* Multi-threshold approach for license plate recognition system, International Conference on Signal and Image Processing WASET ICSIP 2010:1046-1050
* [http://waset.org/publications/3636](http://waset.org/publications/3636)
* An evaluation of classification techniques using enhanced Geometrical Topological Feature Analysis, 2nd Malaysian Joint Conference on Artificial Intelligence (MJCAI 2010)
* [https://scholar.google.com/scholar?oi=bibs&cluster=3038184255311332521&btnI=1&hl=en](https://scholar.google.com/scholar?oi=bibs&cluster=3038184255311332521&btnI=1&hl=en)
###
Articles on LinkedIn
* [ADRL: Advanced Deep Reinforcement Learning {Patents and papers; Main point summary on recently published research on DRL} (draft version Feb 2019) ]([https://www.linkedin.com/pulse/patents-papers-adrl-advanced-deep-reinforcement-feb-pirahansiah-phd/](https://www.linkedin.com/pulse/patents-papers-adrl-advanced-deep-reinforcement-feb-pirahansiah-phd/))
* [The most important research papers for deep learning (updated December, 2017)]([https://www.linkedin.com/pulse/most-important-research-papers-deep-learning-updated-2017-farshid/](https://www.linkedin.com/pulse/most-important-research-papers-deep-learning-updated-2017-farshid/) )
* [List of useful links (Videos, Slides, Articles) for Deep Learning ]([https://www.linkedin.com/pulse/list-useful-links-videos-slides-articles-deep-farshid-pirahansiah/](https://www.linkedin.com/pulse/list-useful-links-videos-slides-articles-deep-farshid-pirahansiah/))
* [Autonomous driving vehicles (Computer Vision, Deep Learning)]([https://www.linkedin.com/pulse/autonomous-driving-vehicles-computer-vision-deep-farshid-pirahansiah-1/](https://www.linkedin.com/pulse/autonomous-driving-vehicles-computer-vision-deep-farshid-pirahansiah-1/)
* [Thresholding]([https://www.linkedin.com/pulse/thresholding-farshid-pirahansiah/](https://www.linkedin.com/pulse/thresholding-farshid-pirahansiah/)
###
Slides slideshare
* Deep Learning for Computer Vision in Ubuntu 19; Part 1 installation [Link]([https://www.slideshare.net/pirahansiah/deep-learning-for-computer-vision-in-ubuntu-19-part-1-installation](https://www.slideshare.net/pirahansiah/deep-learning-for-computer-vision-in-ubuntu-19-part-1-installation)
* Using Deep Learning for Computer Vision Applications [Link]([https://www.slideshare.net/pirahansiah/using-deep-learning-for-computer-vision-applications](https://www.slideshare.net/pirahansiah/using-deep-learning-for-computer-vision-applications) )
* tensorflow1.3 digits6.0 Caffe [Link]([https://www.slideshare.net/pirahansiah/farshid-tensorflow13-digits60caffe](https://www.slideshare.net/pirahansiah/farshid-tensorflow13-digits60caffe) )
* Install TensorFlow 1.2 on macOS Sierra on MacBook (June 2017) [Link]([https://www.slideshare.net/pirahansiah/install-tensorflow-12-on-macos-sierra-on-macbook-june-2017](https://www.slideshare.net/pirahansiah/install-tensorflow-12-on-macos-sierra-on-macbook-june-2017) )
* Best Deep Learning Post from LinkedIn Group [Link]([https://www.slideshare.net/pirahansiah/best-deep-learning-post-from-linkedin-group](https://www.slideshare.net/pirahansiah/best-deep-learning-post-from-linkedin-group) )
* Install, Compile, Setup, Setting OpenCV 3.2, Visual C++ 2015, Win 64bit [Link]([https://www.slideshare.net/pirahansiah/install-compile-setup-setting-opencv-32-visual-c-2015-win-64bit](https://www.slideshare.net/pirahansiah/install-compile-setup-setting-opencv-32-visual-c-2015-win-64bit) )
* Layers in Deep Learning&Caffe layers (model architecture ) [Link]([https://www.slideshare.net/pirahansiah/layers-in-deep-learningcaffe-layers-model-architecture](https://www.slideshare.net/pirahansiah/layers-in-deep-learningcaffe-layers-model-architecture) )
* How to install Digits 5.1 on Ubuntu 14 [Link]([https://www.slideshare.net/pirahansiah/how-to-install-digits-51-on-ubuntu-14](https://www.slideshare.net/pirahansiah/how-to-install-digits-51-on-ubuntu-14) )
* Deep Learning for Video Analysis – part 1 (DeepStream SDK) [NVIDIA TensorRT || NVIDIA GPU Inference Engine (GIE)] [Link]([https://www.slideshare.net/pirahansiah/deep-learning-for-video-analysis-part-1-deepstream-sdk-nvidia-tensorrt-nvidia-gpu-inference-engine-gie](https://www.slideshare.net/pirahansiah/deep-learning-for-video-analysis-part-1-deepstream-sdk-nvidia-tensorrt-nvidia-gpu-inference-engine-gie) )
* Computer Vision, Deep Learning, OpenCV [Link]([https://www.slideshare.net/pirahansiah/computer-vision-deep-learning-opencv](https://www.slideshare.net/pirahansiah/computer-vision-deep-learning-opencv) )
###
Online Courses
* [Writing with Impact ](https://www.linkedin.com/learning/writing-with-impact)
* [Balancing Work and Life ](https://www.linkedin.com/learning/balancing-work-and-life)
* [Finance Foundations: Income Taxes ](https://www.linkedin.com/learning/finance-foundations-income-taxes-2)
* [Starting a Business with Family and Friends ](https://www.linkedin.com/learning/starting-a-business-with-family-and-friends)
* [Finance Essentials for Small Business ](https://www.linkedin.com/learning/finance-essentials-for-small-business)
* [Setting Up Your Small Business as a Legal Entity ](https://www.linkedin.com/learning/setting-up-your-small-business-as-a-legal-entity)
* [Creating a Business Plan ](https://www.linkedin.com/learning/creating-a-business-plan-2)
* [Understanding Business ](https://www.linkedin.com/learning/understanding-business)
* [Entrepreneurship: Finding and Testing Your Business Idea ](https://www.linkedin.com/learning/entrepreneurship-finding-and-testing-your-business-idea)
* [Guy Kawasaki on Entrepreneurship ](https://www.linkedin.com/learning/guy-kawasaki-on-entrepreneurship)
* [Financial Modeling Foundations ](https://www.linkedin.com/learning/financial-modeling-foundations)
* [Financial Accounting Foundations ](https://www.linkedin.com/learning/financial-accounting-foundations)
* [Strategic Planning Foundations ](https://www.linkedin.com/learning/strategic-planning-foundations)
* [5 Personal Finance Tips ](https://www.linkedin.com/learning/5-personal-finance-tips)
* [Investment Evaluation ](https://www.linkedin.com/learning/investment-evaluation)
* [Managing Your Personal Investments ](https://www.linkedin.com/learning/managing-your-personal-investments)
* [Financial Wellness: Managing Personal Cash Flow ](https://www.linkedin.com/learning/financial-wellness-managing-personal-cash-flow)
* [Financial Wellness for Couples and Families ](https://www.linkedin.com/learning/financial-wellness-for-couples-and-families)
* [Managing Your Personal Finances ](https://www.linkedin.com/learning/managing-your-personal-finances)
* [Finance Foundations ](https://www.linkedin.com/learning/finance-foundations-2)
* [Entrepreneurship Foundations ](https://www.linkedin.com/learning/entrepreneurship-foundations-2)
* [Introduction to Deep Learning with OpenCV ](https://www.linkedin.com/learning/introduction-to-deep-learning-with-opencv)
* [OpenCV for Python Developers ](https://www.linkedin.com/learning/opencv-for-python-developers)
* [Brad Feld on Validating Your Startup Idea ](https://www.linkedin.com/learning/brad-feld-on-validating-your-startup-idea)
* [Brad Feld on Raising Capital ](https://www.linkedin.com/learning/brad-feld-on-raising-capital)
* [Take a More Creative Approach to Problem-Solving ](https://www.linkedin.com/learning/take-a-more-creative-approach-to-problem-solving)
* [Professional Networking ](https://www.linkedin.com/learning/professional-networking)
* [Building Relationships While Working from Home ](https://www.linkedin.com/learning/building-relationships-while-working-from-home)
* [Entrepreneurship: Raising Startup Capital ](https://www.linkedin.com/learning/entrepreneurship-raising-startup-capital)
* [Business Analysis Foundations: Business Process Modeling ](https://www.linkedin.com/learning/business-analysis-foundations-business-process-modeling)
* [Communicating with Confidence ](https://www.linkedin.com/learning/communicating-with-confidence)
* [Machine Learning for iOS Developers ](https://www.linkedin.com/learning/machine-learning-for-ios-developers)
###
Learning path
* [Stay Ahead in Personal Finance ](https://www.linkedin.com/learning/paths/stay-ahead-in-personal-finance)
* [Become a Small Business Owner ](https://www.linkedin.com/learning/paths/become-a-small-business-owner)
#
Completed
###
Reference
[https://drive.google.com/file/d/1xd5TZlEZnUUieXzw3Lxn3Sv7MwIajU_W/view?usp=sharing](https://drive.google.com/file/d/1xd5TZlEZnUUieXzw3Lxn3Sv7MwIajU_W/view?usp=sharing)
###
Link of best Groups
* [LinkedIn: Computer Vision, Deep Learning, Deep Reinforcement Learning, GANs, OpenCV, Caffe, TensorFlow,PyTorch](https://www.linkedin.com/groups/10320678/)
* [Source code](https://gitlab.com/pirahansiah)
* [Facebook : Deep Learning, Computer Vision, Robotics ](https://web.facebook.com/groups/185926728115336/)
* [The link to one-note notebook ](https://1drv.ms/u/s!AhG15hrdT9JOgR5GZgPjve65F-e5)
* [GitHub](https://github.com/pirahansiah)
###
Books
* [The Art of Startup Fundraising](https://www.amazon.de/-/en/Alejandro-Cremades-ebook/dp/B01DQ3GY3Y)
* [Mathematics for Machine Learning](https://mml-book.github.io/)
* Principles of Economics (6th edition)
* The E-Myth Revisited Why Most Small Businesses Don't Work and What to Do About It
* Clean Code: A Handbook of Agile Software Craftsmanship (Robert C. Martin)
* Reinventing Your Life: The Breakthough Program to End Negative Behavior
* Ways Of Thinking: The Limits Of Rational Thought And Artificial Intelligence
* [https://images.kw.com/docs/2/1/2/212345/1285134779158_htwfaip.pdf](https://images.kw.com/docs/2/1/2/212345/1285134779158_htwfaip.pdf)
* * [Computer Vision: Algorithms and Applications](http://szeliski.org/Book/)
* [Multiple View Geometry in Computer Vision Second Edition](https://www.robots.ox.ac.uk/~vgg/hzbook/)
* [Complete to download the latest draft of Machine Learning Yearning](https://www.deeplearning.ai/machine-learning-yearning/)
* Multiple view geometry in computer vision
* Learning OpenCV Book by Adrian Kaehler and Gary Bradski
* Digital Image Processing, Global Edition by Rafael C. Gonzalez
* Introduction to Algorithms, 3rd Edition (The MIT Press)
* The Mythical Man-Month: Essays on Software Engineering
* [OpenCV-4-with-Python-Blueprints-Second-Edition](https://github.com/PacktPublishing/OpenCV-4-with-Python-Blueprints-Second-Edition)
###
Videos
* [https://www.youtube.com/computervisiondeeplearning](https://www.youtube.com/computervisiondeeplearning)
* [Two Minute Papers](https://www.youtube.com/c/K%C3%A1rolyZsolnai/videos)
* [Conference on Pattern Recognition](https://www.gcpr-vmv-vcbm-2020.uni-tuebingen.de/)
* [https://researchseminars.org/?fbclid=IwAR0Ly9WLONBMBteYI7IhlRaMYR_rQR6YrpdxLG_sUxPxGYKQhB0SOTmcjgY](https://researchseminars.org/?fbclid=IwAR0Ly9WLONBMBteYI7IhlRaMYR_rQR6YrpdxLG_sUxPxGYKQhB0SOTmcjgY)
###
Papers
* CALTag: High Precision Fiducial Markers for Camera
* Diatom Autofocusing in Brightfield Microscopy: a Comparative Study
* Analysis of focus measure operators in shape-from-focus
* Optical flow modeling and computation: A survey
* Toward general type 2 fuzzy logic systems based on zSlices
###
Site
* [Research Tools By: Nader Ale Ebrahim](https://www.mindmeister.com/39583892/research-tools-by-nader-ale-ebrahim?t=HMmnzlA4zN) ([MindMap](https://www.mindmeister.com/39583892/research-tools-by-nader-ale-ebrahim?fullscreen=1#))
Reference-
ComputerVisionDeepLearning.pdf
* [https://virgool.io/@r_alimorady/easy-install-cuda-document-hhk6nuylvl1w](https://virgool.io/@r_alimorady/easy-install-cuda-document-hhk6nuylvl1w)
* [https://techcommunity.microsoft.com/t5/azure-ai/introducing-multivariate-anomaly-detection/ba-p/2260679](https://techcommunity.microsoft.com/t5/azure-ai/introducing-multivariate-anomaly-detection/ba-p/2260679)
* [https://www.freertos.org/index.html](https://www.freertos.org/index.html)
* [https://en.wikipedia.org/wiki/Knowledge_distillation](https://en.wikipedia.org/wiki/Knowledge_distillation)
* [https://80000hours.org/2015/10/startup-salaries-and-equity-compensation/](https://80000hours.org/2015/10/startup-salaries-and-equity-compensation/)
* [https://www.thecvf.com/?page_id=413](https://www.thecvf.com/?page_id=413)
* [https://levelup.gitconnected.com/s-o-l-i-d-principles-explained-in-python-with-examples-83b2b43bdcde?gi=a1fee170c917](https://levelup.gitconnected.com/s-o-l-i-d-principles-explained-in-python-with-examples-83b2b43bdcde?gi=a1fee170c917)
* [https://arxiv.org/pdf/2104.13921.pdf](https://arxiv.org/pdf/2104.13921.pdf)
* [https://blog.paperspace.com/object-detection-directed-mask-r-cnn-keras/](https://blog.paperspace.com/object-detection-directed-mask-r-cnn-keras/)
* [https://pub.towardsai.net/will-transformers-replace-cnns-in-computer-vision-55657a196833](https://pub.towardsai.net/will-transformers-replace-cnns-in-computer-vision-55657a196833)
* [https://medium.com/@daviddelaiglesiacastro/3d-point-cloud-generation-from-3d-triangular-mesh-bbb602ecf238](https://medium.com/@daviddelaiglesiacastro/3d-point-cloud-generation-from-3d-triangular-mesh-bbb602ecf238)
*
[https://koinly.io/](https://koinly.io/)
site map: octopus.do
[https://www.startupgermany.nrw/startup-
contest/](https://www.startupgermany.nrw/startup-contest/)
[https://www.kickstarter.com/projects/opencv/opencv-ai-kit-oak-depth-
camera-4k-cv-edge-object-
detection/description](https://www.kickstarter.com/projects/opencv/opencv-ai-
kit-oak-depth-camera-4k-cv-edge-object-detection/description)
[HOW I GAINED 68,000 SUBSCRIBERS IN A YEAR! | My Strategy to Grow on YouTube
in 2021! - YouTube
](https://www.youtube.com/watch?v=bwd1dQr33K8&list=PLxC08P2Oexy2EJKezV02N9cp3-qOEh79Z)
[https://www.youtube.com/watch?v=bwd1dQr33K8&list=PLxC08P2Oexy2EJKezV02N9cp3-qOEh79Z](https://www.youtube.com/watch?v=bwd1dQr33K8&list=PLxC08P2Oexy2EJKezV02N9cp3-qOEh79Z)
[https://www.youtube.com/watch?v=cFdApmqlllg](https://www.youtube.com/watch?v=cFdApmqlllg)
[محمد رضا شجریان، آلبوم کامل در خیال -
YouTube](https://www.youtube.com/watch?v=cFdApmqlllg)
[دوره جامع گوگل آنالیتیکس(UA) |
آنالیتیپس](https://analytips.io/product/google-analyticsua/)
[رادیوگیک - شماره ۱۲۱ - ما این لارادیوگیک - شماره ۱۲۱ - ما این لا -
YouTube](https://www.youtube.com/watch?v=dzBLhio-DIc)
[Social Selling Index | Sales
Navigator](https://www.linkedin.com/sales/ssi?src=or-
search&veh=www.google.com)
[https://rschu.me/list-a-directory-with-tree-command-on-mac-
os-x-3b2d4c4a4827](https://rschu.me/list-a-directory-with-tree-command-on-mac-
os-x-3b2d4c4a4827)
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# Links
pirahansiah, Personal, Roadmap, Books, Online Courses
[](https://drive.google.com/open?id=1ELXvmqcSciCK8-TUVsyVRnYTuxnKta-_xze-
oXQexwY "Open Spreadsheet, Links in new window")
Links
Links from my research and interest
AI in RISC-V
Mixed reality
Old Links
Reference
Link Groups
Top website
Python
Computer Vision
Documents
Business
Tools
Patents
Books
Journal Papers
Conference Papers
Articles on LinkedIn
Slides slideshare
Online Courses
Learning path
Completed
Reference
Link of best Groups
Books
Videos
Papers
Site
Efficient Video Dataset Loading and Augmentation in PyTorch for deep learning
training loops.
GitHub[ https://lnkd.in/gpR8idsp](https://lnkd.in/gpR8idsp)
[https://remmina.org/how-to-install-remmina/](https://remmina.org/how-to-
install-remmina/)
[https://readme.so/](https://readme.so/)
#
Links from my research and interest
[Build Better Generative Adversarial Networks (GANs) - Andrew Ng -
2021](https://www.youtube.com/playlist?list=PLuv1FSpHurUfl44GWqaCzEhGP-aP_-
VnF)
[https://www.oreilly.com/library/view/flow-
architectures/9781492075882/](https://www.oreilly.com/library/view/flow-
architectures/9781492075882/)
##
AI in RISC-V
* [RISC-V hardware & software ecosystem highlights in 2020](https://www.cnx-software.com/2020/12/10/risc-v-hardware-software-ecosystem-highlights-in-2020)
##
Mixed reality
* [https://github.com/MIT-SPARK/Kimera](https://github.com/MIT-SPARK/Kimera)
* Kimera is a C++ library for real-time metric-semantic simultaneous localization and mapping, which uses camera images and inertial data to build a semantically annotated 3D mesh of the environment. Kimera is modular, ROS-enabled, and runs on a CPU.
#
Old Links
###
Reference
[https://drive.google.com/file/d/1xd5TZlEZnUUieXzw3Lxn3Sv7MwIajU_W/view?usp=sharing](https://drive.google.com/file/d/1xd5TZlEZnUUieXzw3Lxn3Sv7MwIajU_W/view?usp=sharing)
###
Link Groups
* [LinkedIn: Computer Vision, Deep Learning, Deep Reinforcement Learning, GANs, OpenCV, Caffe, TensorFlow,PyTorch](https://www.linkedin.com/groups/10320678/)
* [Source code](https://gitlab.com/pirahansiah)
* [Facebook : Deep Learning, Computer Vision, Robotics ](https://web.facebook.com/groups/185926728115336/)
* [The link to one-note notebook ](https://1drv.ms/u/s!AhG15hrdT9JOgR5GZgPjve65F-e5)
* [GitHub](https://github.com/pirahansiah)
###
Top website
* [https://paperswithcode.com/](https://paperswithcode.com/)
* [https://www.learnthepart.com/](https://www.learnthepart.com/)
* [https://hackaday.com/](https://hackaday.com/)
* [https://medium.com/@pirahansiah/timesaver-626019137fa9?sk=cde3334919d6c16ba0964fe021a24762](https://medium.com/@pirahansiah/timesaver-626019137fa9?sk=cde3334919d6c16ba0964fe021a24762)
* hbrew install youtube-dl
* [https://www.masterclass.com/](https://www.masterclass.com/)
* [Deep Learning for coders (2020)](https://www.youtube.com/user/howardjeremyp)
* [Deep Learning for Video](https://mcv-m6-video.github.io/deepvideo-2019/) (Master in Computer Vision Barcelona)
* [Augmented Reality using ArUco Markers in OpenCV (C++ / Python)](https://www.learnopencv.com/augmented-reality-using-aruco-markers-in-opencv-c-python/)
* [https://explainshell.com/](https://explainshell.com/)
* [https://stackoverflow.blog/2020/02/12/when-laziness-is-efficient-make-the-most-of-your-command-line/](https://stackoverflow.blog/2020/02/12/when-laziness-is-efficient-make-the-most-of-your-command-line/?utm_source=Iterable&utm_medium=email&utm_campaign=the_overflow_newsletter&utm_content=02-19-20)
* [https://link.medium.com/XA49Ke0Jt4](https://link.medium.com/XA49Ke0Jt4)
* [https://link.medium.com/Np0YEy1Jt4](https://link.medium.com/Np0YEy1Jt4)
###
Python
* [How to Write Beautiful Python Code With PEP 8](https://realpython.com/python-pep8/)
* [PEP 622 -- Structural Pattern Matching](https://www.python.org/dev/peps/pep-0622/)
* [Monitor Your Dependencies! Stop Being A Blind Data-Scientist.](https://towardsdatascience.com/monitor-your-dependencies-stop-being-a-blind-data-scientist-a3150bd64594)
###
Computer Vision
* [Hybrid CV/DL pipelines with OpenCV 4.4 G-API](https://opencv.org/hybrid-cv-dl-pipelines-with-opencv-4-4-g-api/)
* [PaddleDetection is an end-to-end object detection development kit based on PaddlePaddle, which aims to help developers in the whole development of training models, optimizing performance and inference speed, and deploying models. ](https://github.com/PaddlePaddle/PaddleDetection/blob/release/0.4/README_en.md)
* [https://github.com/google/mediapipe](https://github.com/google/mediapipe)
###
Documents
* [https://book.keybase.io/docs](https://book.keybase.io/docs)
* [kind is a tool for running local Kubernetes clusters using Docker container "nodes".](https://github.com/kubernetes-sigs/kind)
* [FINN is an experimental framework from Xilinx Research Labs to explore deep neural network inference on FPGAs. ](https://xilinx.github.io/finn/)
* [Gitter is a chat and networking platform that helps to manage, grow and connect communities through messaging, content and discovery.](https://gitter.im/)
* [Fair and useful benchmarks for measuring training and inference performance of ML hardware, software, and services.](https://mlperf.org/)
* [https://kepler.gl/demo](https://kepler.gl/demo)
* [Open source, highly available Prometheus setup with long term storage capabilities.](https://thanos.io/)
* [Deep Learning Design Patterns - Jr Data Scientist - Part 3 - Alternative Connectivity Patterns](https://www.youtube.com/watch?v=JI-MButCqUE)
###
Business
* [5 Ways to Make More Money as a Coach or Consultant](https://www.entrepreneur.com/article/283006)
* [https://www.youtube.com/watch?v=njx09wXb9o0&list=PLnhdsL4kFmVYMNq6F8k8UiFkc6fwIdk3o&index=5](https://www.youtube.com/watch?v=njx09wXb9o0&list=PLnhdsL4kFmVYMNq6F8k8UiFkc6fwIdk3o&index=5)
###
Tools
* Free convert video for mac opensource
* [https://github.com/HandBrake/HandBrake](https://github.com/HandBrake/HandBrake)
* [https://handbrake.fr/rotation.php?file=HandBrake-1.3.3.dmg](https://handbrake.fr/rotation.php?file=HandBrake-1.3.3.dmg)
* [global-gitignore.md](https://gist.github.com/subfuzion/db7f57fff2fb6998a16c)
* [https://nextbillion.ai/](https://nextbillion.ai/) Mapping platform built for enterprises
* [https://github.com/ondras/my-mind](https://github.com/ondras/my-mind) MindMap
* [Create and share beautiful images of your source code.](https://carbon.now.sh/)
* [Web IDE](https://replit.com/templates)
* [https://github.com/jely2002/youtube-dl-gui/releases/tag/v2.2.2](https://github.com/jely2002/youtube-dl-gui/releases/tag/v2.2.2)
###
Patents
[https://patents.google.com/?inventor=pirahansiah&oq=pirahansiah](https://patents.google.com/?inventor=pirahansiah&oq=pirahansiah)
1. System and method for providing advertisement contents based on facial analysis (WO2020141969A2)
2. A method for augmenting a plurality of face images (WO2021060971A1)
3. A method for detecting a moving vehicle (WO2021107761A1)
1. System and method for providing advertisement contents based on facial analysis (WO2020141969A2)
The present invention relates to a system (100) for providing advertisement
contents based on facial analysis comprising an image acquisition device (10)
to acquire an image of a user, a face detection module (20) to detect face of
the user in the image, an analysis module (40) to analyse the facial features
statistically using classification models retrieved from a classification
module (30), a database (60) to store matching rules, weighted advertisements
and a plurality of advertisement contents; and a display device (80) to
display the advertisement contents. The system (100) further comprises a
computation module (50) to compute weighted image of the user and a matching
module (70) to match the weighted image of the user with the weighted
advertisement to select an advertisement content based on facial analysis of
the user. A method of providing the advertisement contents based on facial
analysis is also provided thereof.
[https://patentimages.storage.googleapis.com/ff/3f/a5/e7b42ef58d8a03/WO2020141969A2.pdf](https://patentimages.storage.googleapis.com/ff/3f/a5/e7b42ef58d8a03/WO2020141969A2.pdf)
2. A method for augmenting a plurality of face images (WO2021060971A1)
The present invention relates to a method for increasing data for face
analysis in video surveillance. The method comprises the steps of acquiring at
least one face image from an image acquisition module (102), acquiring a
plurality of face images available on the internet using a data input module
(104), increasing face images by at least one data augmentation module (106
and 107), generating a plurality of face images based on a trained Generative
Adversarial Network, GAN technique by using a GAN module, selecting proper
images based on quality of the face images using a fuzzy logic module (111),
saving the selected images into a fifth database, and training the deep
learning module (113).
[https://patentimages.storage.googleapis.com/b8/d9/7f/ea8a5b789e1dad/WO2021060971A1.pdf](https://patentimages.storage.googleapis.com/b8/d9/7f/ea8a5b789e1dad/WO2021060971A1.pdf)
3. A method for detecting a moving vehicle (WO2021107761A1)
The present invention relates to a method for detecting a moving vehicle. The
method comprises the steps of grabbing an initial image from a video stream by
a vehicle detection module (1100), wherein the vehicle detection module (1100)
is a part of a system (1000) to identify moving vehicle, enhancing the
illumination of the initial image by the vehicle detection module (1100),
enhancing the edges within the initial image by the vehicle detection module
(1100), and finding vehicle based on homogenous properties of the body of the
vehicle by the vehicle detection module (1100). The step of finding vehicle
based on homogenous property of the body of the vehicle by the vehicle
detection module (1100) further comprising the sub-steps of closing open
edges, inverting the binary image, segmenting an inverted binary image,
filtering the noise based on geometric feature, and filtering the noise based
on relation.
[https://patentimages.storage.googleapis.com/16/41/83/2576e20c4a0af5/WO2021107761A1.pdf](https://patentimages.storage.googleapis.com/16/41/83/2576e20c4a0af5/WO2021107761A1.pdf)
###
Books
1. [book chapter titled “Camera Calibration and Video Stabilization Framework for Robot Localization” in the Book entitled “Control Engineering in Robotics and Industrial Automation" which will be published (24/07/2021) in Springer. ](https://www.waterstones.com/book/control-engineering-in-robotics-and-industrial-automation/muralindran-mariappan/mohd-rizal-arshad/9783030745394)
2. [book chapter titled “Augmented Optical Flow Methods for Video Stabilization", In Computational Intelligence: from theory to application. (2017) (p18). ](http://www.ukm.my/penerbit/penerbitan-2017/)
###
Journal Papers
* Using An Ant Colony Optimization Algorithm For Image Edge Detection As A Threshold Segmentation For OCR System Journal of Theoretical & Applied Information Technology, 95(21)
* * [http://www.jatit.org/volumes/Vol95No21/1Vol95No21.pdf](http://www.jatit.org/volumes/Vol95No21/1Vol95No21.pdf)
* GSFT-PSNR: Global Single Fuzzy Threshold Based on PSNR for OCR Systems, International Journal of Computer Science and Network Solutions 4(6)
* * [https://www.ijcsns.com/June.2016-Volume.4-No.6/Article01.pdf](https://www.ijcsns.com/June.2016-Volume.4-No.6/Article01.pdf)
* Adaptive Image Thresholding based On the Peak Signal-To-Noise Ratio, Research Journal of Applied Sciences, Engineering and Technology 8(9).
* * [http://www.academia.edu/download/44161592/Adaptive_Image_Thresholding_Based_on_the20160328-31366-1wyb1jc.pdf](http://www.academia.edu/download/44161592/Adaptive_Image_Thresholding_Based_on_the20160328-31366-1wyb1jc.pdf)
* Simultaneous Localization and Mapping Trends and Humanoid Robot Linkages, Asia-Pacific Journal of Information Technology and Multimedia (APJITM)
* * [http://journalarticle.ukm.my/6644/1/4429-10302-1-SM.pdf](http://journalarticle.ukm.my/6644/1/4429-10302-1-SM.pdf)
* Peak Signal-To-Noise Ratio Based On Threshold Method for Image Segmentation, Journal of Theoretical & Applied Information Technology, 57(2)
* * [http://www.jatit.org/volumes/Vol57No2/4Vol57No2.pdf](http://www.jatit.org/volumes/Vol57No2/4Vol57No2.pdf)
* Character recognition based on global feature extraction; Journal of Theoretical and Applied Information Technology 52
* * [http://www.jatit.org/volumes/Vol52No2/6Vol52No2.pdf](http://www.jatit.org/volumes/Vol52No2/6Vol52No2.pdf)
###
Conference Papers
* Pattern Image Significance for Camera Calibration, IEEE Student Conference on Research and Development (SCOReD 2017)
* [http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8305440&isnumber=8305342](http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8305440&isnumber=8305342)
* Augmented optical flow methods for video stabilization. 4th Artificial Intelligence Technology Postgraduate Seminar (CAITPS 2015)
* [http://www.academia.edu/download/45596617/farshid.pdf](http://www.academia.edu/download/45596617/farshid.pdf)
* Auto-Calibration for Multi-Modal Robot Vision based on Image Quality Assessment, The 10th Asian Control Conference (ASCC 2015)
* [https://doi.org/10.1109/ASCC.2015.7360336](https://doi.org/10.1109/ASCC.2015.7360336)
* 2D versus 3D Map for Environment Movement Objects, Second National Doctoral Seminar in Artificial Intelligence Technology (CAIT 2012)
* [http://www.ftsm.ukm.my/cait2012/images/Program%20Schedule%20CAIT2012.pdf](http://www.ftsm.ukm.my/cait2012/images/Program%20Schedule%20CAIT2012.pdf)
* Comparison Single Thresholding Method for Image Segmentation on Handwritten Images, International Conference on Pattern Analysis and Intelligent Robotics
* [https://doi.org/10.1109/ICPAIR.2011.5976918](https://doi.org/10.1109/ICPAIR.2011.5976918)
* License Plate Recognition with Multi-Threshold Based on Entropy, 3rd International Conference on Electrical Engineering and Informatics (ICEEI 2011)
* [https://doi.org/10.1109/ICEEI.2011.6021627](https://doi.org/10.1109/ICEEI.2011.6021627)
* Character recognition based on global feature extraction, 3rd International Conference On Electrical Engineering and Informatics (ICEEI 2011)
* [https://pdfs.semanticscholar.org/2d22/66bfb2f5ba5cb40b5946b82c620dc713d793.pdf](https://pdfs.semanticscholar.org/2d22/66bfb2f5ba5cb40b5946b82c620dc713d793.pdf)
* [https://doi.org/10.1109/ICEEI.2011.6021649](https://doi.org/10.1109/ICEEI.2011.6021649)
* Tafresh Grid: Grid computing in Tafresh university," 2011 IEEE 3rd International Conference on Communication Software and Networks, Xi'an, 2011, pp. 83-85.
* [http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6014009&isnumber=6013532](http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6014009&isnumber=6013532)
* Adaptive image segmentation based on Peak Signal to Noise Ratio for a license plate Recognition system, International Conference on Computer Applications and Industrial Electronics (ICCAIE 2010)
* [https://doi.org/10.1109/ICCAIE.2010.5735125](https://doi.org/10.1109/ICCAIE.2010.5735125)
* [http://www.academia.edu/download/44161592/Adaptive_Image_Thresholding_Based_on_the20160328-31366-1wyb1jc.pdf](http://www.academia.edu/download/44161592/Adaptive_Image_Thresholding_Based_on_the20160328-31366-1wyb1jc.pdf)
* Multi-threshold approach for license plate recognition system, International Conference on Signal and Image Processing WASET ICSIP 2010:1046-1050
* [http://waset.org/publications/3636](http://waset.org/publications/3636)
* An evaluation of classification techniques using enhanced Geometrical Topological Feature Analysis, 2nd Malaysian Joint Conference on Artificial Intelligence (MJCAI 2010)
* [https://scholar.google.com/scholar?oi=bibs&cluster=3038184255311332521&btnI=1&hl=en](https://scholar.google.com/scholar?oi=bibs&cluster=3038184255311332521&btnI=1&hl=en)
###
Articles on LinkedIn
* [ADRL: Advanced Deep Reinforcement Learning {Patents and papers; Main point summary on recently published research on DRL} (draft version Feb 2019) ]([https://www.linkedin.com/pulse/patents-papers-adrl-advanced-deep-reinforcement-feb-pirahansiah-phd/](https://www.linkedin.com/pulse/patents-papers-adrl-advanced-deep-reinforcement-feb-pirahansiah-phd/))
* [The most important research papers for deep learning (updated December, 2017)]([https://www.linkedin.com/pulse/most-important-research-papers-deep-learning-updated-2017-farshid/](https://www.linkedin.com/pulse/most-important-research-papers-deep-learning-updated-2017-farshid/) )
* [List of useful links (Videos, Slides, Articles) for Deep Learning ]([https://www.linkedin.com/pulse/list-useful-links-videos-slides-articles-deep-farshid-pirahansiah/](https://www.linkedin.com/pulse/list-useful-links-videos-slides-articles-deep-farshid-pirahansiah/))
* [Autonomous driving vehicles (Computer Vision, Deep Learning)]([https://www.linkedin.com/pulse/autonomous-driving-vehicles-computer-vision-deep-farshid-pirahansiah-1/](https://www.linkedin.com/pulse/autonomous-driving-vehicles-computer-vision-deep-farshid-pirahansiah-1/)
* [Thresholding]([https://www.linkedin.com/pulse/thresholding-farshid-pirahansiah/](https://www.linkedin.com/pulse/thresholding-farshid-pirahansiah/)
###
Slides slideshare
* Deep Learning for Computer Vision in Ubuntu 19; Part 1 installation [Link]([https://www.slideshare.net/pirahansiah/deep-learning-for-computer-vision-in-ubuntu-19-part-1-installation](https://www.slideshare.net/pirahansiah/deep-learning-for-computer-vision-in-ubuntu-19-part-1-installation)
* Using Deep Learning for Computer Vision Applications [Link]([https://www.slideshare.net/pirahansiah/using-deep-learning-for-computer-vision-applications](https://www.slideshare.net/pirahansiah/using-deep-learning-for-computer-vision-applications) )
* tensorflow1.3 digits6.0 Caffe [Link]([https://www.slideshare.net/pirahansiah/farshid-tensorflow13-digits60caffe](https://www.slideshare.net/pirahansiah/farshid-tensorflow13-digits60caffe) )
* Install TensorFlow 1.2 on macOS Sierra on MacBook (June 2017) [Link]([https://www.slideshare.net/pirahansiah/install-tensorflow-12-on-macos-sierra-on-macbook-june-2017](https://www.slideshare.net/pirahansiah/install-tensorflow-12-on-macos-sierra-on-macbook-june-2017) )
* Best Deep Learning Post from LinkedIn Group [Link]([https://www.slideshare.net/pirahansiah/best-deep-learning-post-from-linkedin-group](https://www.slideshare.net/pirahansiah/best-deep-learning-post-from-linkedin-group) )
* Install, Compile, Setup, Setting OpenCV 3.2, Visual C++ 2015, Win 64bit [Link]([https://www.slideshare.net/pirahansiah/install-compile-setup-setting-opencv-32-visual-c-2015-win-64bit](https://www.slideshare.net/pirahansiah/install-compile-setup-setting-opencv-32-visual-c-2015-win-64bit) )
* Layers in Deep Learning&Caffe layers (model architecture ) [Link]([https://www.slideshare.net/pirahansiah/layers-in-deep-learningcaffe-layers-model-architecture](https://www.slideshare.net/pirahansiah/layers-in-deep-learningcaffe-layers-model-architecture) )
* How to install Digits 5.1 on Ubuntu 14 [Link]([https://www.slideshare.net/pirahansiah/how-to-install-digits-51-on-ubuntu-14](https://www.slideshare.net/pirahansiah/how-to-install-digits-51-on-ubuntu-14) )
* Deep Learning for Video Analysis – part 1 (DeepStream SDK) [NVIDIA TensorRT || NVIDIA GPU Inference Engine (GIE)] [Link]([https://www.slideshare.net/pirahansiah/deep-learning-for-video-analysis-part-1-deepstream-sdk-nvidia-tensorrt-nvidia-gpu-inference-engine-gie](https://www.slideshare.net/pirahansiah/deep-learning-for-video-analysis-part-1-deepstream-sdk-nvidia-tensorrt-nvidia-gpu-inference-engine-gie) )
* Computer Vision, Deep Learning, OpenCV [Link]([https://www.slideshare.net/pirahansiah/computer-vision-deep-learning-opencv](https://www.slideshare.net/pirahansiah/computer-vision-deep-learning-opencv) )
###
Online Courses
* [Writing with Impact ](https://www.linkedin.com/learning/writing-with-impact)
* [Balancing Work and Life ](https://www.linkedin.com/learning/balancing-work-and-life)
* [Finance Foundations: Income Taxes ](https://www.linkedin.com/learning/finance-foundations-income-taxes-2)
* [Starting a Business with Family and Friends ](https://www.linkedin.com/learning/starting-a-business-with-family-and-friends)
* [Finance Essentials for Small Business ](https://www.linkedin.com/learning/finance-essentials-for-small-business)
* [Setting Up Your Small Business as a Legal Entity ](https://www.linkedin.com/learning/setting-up-your-small-business-as-a-legal-entity)
* [Creating a Business Plan ](https://www.linkedin.com/learning/creating-a-business-plan-2)
* [Understanding Business ](https://www.linkedin.com/learning/understanding-business)
* [Entrepreneurship: Finding and Testing Your Business Idea ](https://www.linkedin.com/learning/entrepreneurship-finding-and-testing-your-business-idea)
* [Guy Kawasaki on Entrepreneurship ](https://www.linkedin.com/learning/guy-kawasaki-on-entrepreneurship)
* [Financial Modeling Foundations ](https://www.linkedin.com/learning/financial-modeling-foundations)
* [Financial Accounting Foundations ](https://www.linkedin.com/learning/financial-accounting-foundations)
* [Strategic Planning Foundations ](https://www.linkedin.com/learning/strategic-planning-foundations)
* [5 Personal Finance Tips ](https://www.linkedin.com/learning/5-personal-finance-tips)
* [Investment Evaluation ](https://www.linkedin.com/learning/investment-evaluation)
* [Managing Your Personal Investments ](https://www.linkedin.com/learning/managing-your-personal-investments)
* [Financial Wellness: Managing Personal Cash Flow ](https://www.linkedin.com/learning/financial-wellness-managing-personal-cash-flow)
* [Financial Wellness for Couples and Families ](https://www.linkedin.com/learning/financial-wellness-for-couples-and-families)
* [Managing Your Personal Finances ](https://www.linkedin.com/learning/managing-your-personal-finances)
* [Finance Foundations ](https://www.linkedin.com/learning/finance-foundations-2)
* [Entrepreneurship Foundations ](https://www.linkedin.com/learning/entrepreneurship-foundations-2)
* [Introduction to Deep Learning with OpenCV ](https://www.linkedin.com/learning/introduction-to-deep-learning-with-opencv)
* [OpenCV for Python Developers ](https://www.linkedin.com/learning/opencv-for-python-developers)
* [Brad Feld on Validating Your Startup Idea ](https://www.linkedin.com/learning/brad-feld-on-validating-your-startup-idea)
* [Brad Feld on Raising Capital ](https://www.linkedin.com/learning/brad-feld-on-raising-capital)
* [Take a More Creative Approach to Problem-Solving ](https://www.linkedin.com/learning/take-a-more-creative-approach-to-problem-solving)
* [Professional Networking ](https://www.linkedin.com/learning/professional-networking)
* [Building Relationships While Working from Home ](https://www.linkedin.com/learning/building-relationships-while-working-from-home)
* [Entrepreneurship: Raising Startup Capital ](https://www.linkedin.com/learning/entrepreneurship-raising-startup-capital)
* [Business Analysis Foundations: Business Process Modeling ](https://www.linkedin.com/learning/business-analysis-foundations-business-process-modeling)
* [Communicating with Confidence ](https://www.linkedin.com/learning/communicating-with-confidence)
* [Machine Learning for iOS Developers ](https://www.linkedin.com/learning/machine-learning-for-ios-developers)
###
Learning path
* [Stay Ahead in Personal Finance ](https://www.linkedin.com/learning/paths/stay-ahead-in-personal-finance)
* [Become a Small Business Owner ](https://www.linkedin.com/learning/paths/become-a-small-business-owner)
#
Completed
###
Reference
[https://drive.google.com/file/d/1xd5TZlEZnUUieXzw3Lxn3Sv7MwIajU_W/view?usp=sharing](https://drive.google.com/file/d/1xd5TZlEZnUUieXzw3Lxn3Sv7MwIajU_W/view?usp=sharing)
###
Link of best Groups
* [LinkedIn: Computer Vision, Deep Learning, Deep Reinforcement Learning, GANs, OpenCV, Caffe, TensorFlow,PyTorch](https://www.linkedin.com/groups/10320678/)
* [Source code](https://gitlab.com/pirahansiah)
* [Facebook : Deep Learning, Computer Vision, Robotics ](https://web.facebook.com/groups/185926728115336/)
* [The link to one-note notebook ](https://1drv.ms/u/s!AhG15hrdT9JOgR5GZgPjve65F-e5)
* [GitHub](https://github.com/pirahansiah)
###
Books
* [The Art of Startup Fundraising](https://www.amazon.de/-/en/Alejandro-Cremades-ebook/dp/B01DQ3GY3Y)
* [Mathematics for Machine Learning](https://mml-book.github.io/)
* Principles of Economics (6th edition)
* The E-Myth Revisited Why Most Small Businesses Don't Work and What to Do About It
* Clean Code: A Handbook of Agile Software Craftsmanship (Robert C. Martin)
* Reinventing Your Life: The Breakthough Program to End Negative Behavior
* Ways Of Thinking: The Limits Of Rational Thought And Artificial Intelligence
* [https://images.kw.com/docs/2/1/2/212345/1285134779158_htwfaip.pdf](https://images.kw.com/docs/2/1/2/212345/1285134779158_htwfaip.pdf)
* * [Computer Vision: Algorithms and Applications](http://szeliski.org/Book/)
* [Multiple View Geometry in Computer Vision Second Edition](https://www.robots.ox.ac.uk/~vgg/hzbook/)
* [Complete to download the latest draft of Machine Learning Yearning](https://www.deeplearning.ai/machine-learning-yearning/)
* Multiple view geometry in computer vision
* Learning OpenCV Book by Adrian Kaehler and Gary Bradski
* Digital Image Processing, Global Edition by Rafael C. Gonzalez
* Introduction to Algorithms, 3rd Edition (The MIT Press)
* The Mythical Man-Month: Essays on Software Engineering
* [OpenCV-4-with-Python-Blueprints-Second-Edition](https://github.com/PacktPublishing/OpenCV-4-with-Python-Blueprints-Second-Edition)
###
Videos
* [https://www.youtube.com/computervisiondeeplearning](https://www.youtube.com/computervisiondeeplearning)
* [Two Minute Papers](https://www.youtube.com/c/K%C3%A1rolyZsolnai/videos)
* [Conference on Pattern Recognition](https://www.gcpr-vmv-vcbm-2020.uni-tuebingen.de/)
* [https://researchseminars.org/?fbclid=IwAR0Ly9WLONBMBteYI7IhlRaMYR_rQR6YrpdxLG_sUxPxGYKQhB0SOTmcjgY](https://researchseminars.org/?fbclid=IwAR0Ly9WLONBMBteYI7IhlRaMYR_rQR6YrpdxLG_sUxPxGYKQhB0SOTmcjgY)
###
Papers
* CALTag: High Precision Fiducial Markers for Camera
* Diatom Autofocusing in Brightfield Microscopy: a Comparative Study
* Analysis of focus measure operators in shape-from-focus
* Optical flow modeling and computation: A survey
* Toward general type 2 fuzzy logic systems based on zSlices
###
Site
* [Research Tools By: Nader Ale Ebrahim](https://www.mindmeister.com/39583892/research-tools-by-nader-ale-ebrahim?t=HMmnzlA4zN) ([MindMap](https://www.mindmeister.com/39583892/research-tools-by-nader-ale-ebrahim?fullscreen=1#))
Reference-
ComputerVisionDeepLearning.pdf
* [https://virgool.io/@r_alimorady/easy-install-cuda-document-hhk6nuylvl1w](https://virgool.io/@r_alimorady/easy-install-cuda-document-hhk6nuylvl1w)
* [https://techcommunity.microsoft.com/t5/azure-ai/introducing-multivariate-anomaly-detection/ba-p/2260679](https://techcommunity.microsoft.com/t5/azure-ai/introducing-multivariate-anomaly-detection/ba-p/2260679)
* [https://www.freertos.org/index.html](https://www.freertos.org/index.html)
* [https://en.wikipedia.org/wiki/Knowledge_distillation](https://en.wikipedia.org/wiki/Knowledge_distillation)
* [https://80000hours.org/2015/10/startup-salaries-and-equity-compensation/](https://80000hours.org/2015/10/startup-salaries-and-equity-compensation/)
* [https://www.thecvf.com/?page_id=413](https://www.thecvf.com/?page_id=413)
* [https://levelup.gitconnected.com/s-o-l-i-d-principles-explained-in-python-with-examples-83b2b43bdcde?gi=a1fee170c917](https://levelup.gitconnected.com/s-o-l-i-d-principles-explained-in-python-with-examples-83b2b43bdcde?gi=a1fee170c917)
* [https://arxiv.org/pdf/2104.13921.pdf](https://arxiv.org/pdf/2104.13921.pdf)
* [https://blog.paperspace.com/object-detection-directed-mask-r-cnn-keras/](https://blog.paperspace.com/object-detection-directed-mask-r-cnn-keras/)
* [https://pub.towardsai.net/will-transformers-replace-cnns-in-computer-vision-55657a196833](https://pub.towardsai.net/will-transformers-replace-cnns-in-computer-vision-55657a196833)
* [https://medium.com/@daviddelaiglesiacastro/3d-point-cloud-generation-from-3d-triangular-mesh-bbb602ecf238](https://medium.com/@daviddelaiglesiacastro/3d-point-cloud-generation-from-3d-triangular-mesh-bbb602ecf238)
*
[https://koinly.io/](https://koinly.io/)
site map: octopus.do
[https://www.startupgermany.nrw/startup-
contest/](https://www.startupgermany.nrw/startup-contest/)
[https://www.kickstarter.com/projects/opencv/opencv-ai-kit-oak-depth-
camera-4k-cv-edge-object-
detection/description](https://www.kickstarter.com/projects/opencv/opencv-ai-
kit-oak-depth-camera-4k-cv-edge-object-detection/description)
[HOW I GAINED 68,000 SUBSCRIBERS IN A YEAR! | My Strategy to Grow on YouTube
in 2021! - YouTube
](https://www.youtube.com/watch?v=bwd1dQr33K8&list=PLxC08P2Oexy2EJKezV02N9cp3-qOEh79Z)
[https://www.youtube.com/watch?v=bwd1dQr33K8&list=PLxC08P2Oexy2EJKezV02N9cp3-qOEh79Z](https://www.youtube.com/watch?v=bwd1dQr33K8&list=PLxC08P2Oexy2EJKezV02N9cp3-qOEh79Z)
[https://www.youtube.com/watch?v=cFdApmqlllg](https://www.youtube.com/watch?v=cFdApmqlllg)
[محمد رضا شجریان، آلبوم کامل در خیال -
YouTube](https://www.youtube.com/watch?v=cFdApmqlllg)
[دوره جامع گوگل آنالیتیکس(UA) |
آنالیتیپس](https://analytips.io/product/google-analyticsua/)
[رادیوگیک - شماره ۱۲۱ - ما این لارادیوگیک - شماره ۱۲۱ - ما این لا -
YouTube](https://www.youtube.com/watch?v=dzBLhio-DIc)
[Social Selling Index | Sales
Navigator](https://www.linkedin.com/sales/ssi?src=or-
search&veh=www.google.com)
[https://rschu.me/list-a-directory-with-tree-command-on-mac-
os-x-3b2d4c4a4827](https://rschu.me/list-a-directory-with-tree-command-on-mac-
os-x-3b2d4c4a4827)
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pirahansiah, Personal, Roadmap, Books, Online Courses
[](https://drive.google.com/open?id=1ELXvmqcSciCK8-TUVsyVRnYTuxnKta-_xze-
oXQexwY "Open Spreadsheet, Links in new window")
Links
Links from my research and interest
AI in RISC-V
Mixed reality
Old Links
Reference
Link Groups
Top website
Python
Computer Vision
Documents
Business
Tools
Patents
Books
Journal Papers
Conference Papers
Articles on LinkedIn
Slides slideshare
Online Courses
Learning path
Completed
Reference
Link of best Groups
Books
Videos
Papers
Site
Efficient Video Dataset Loading and Augmentation in PyTorch for deep learning
training loops.
GitHub[ https://lnkd.in/gpR8idsp](https://lnkd.in/gpR8idsp)
[https://remmina.org/how-to-install-remmina/](https://remmina.org/how-to-
install-remmina/)
[https://readme.so/](https://readme.so/)
#
Links from my research and interest
[Build Better Generative Adversarial Networks (GANs) - Andrew Ng -
2021](https://www.youtube.com/playlist?list=PLuv1FSpHurUfl44GWqaCzEhGP-aP_-
VnF)
[https://www.oreilly.com/library/view/flow-
architectures/9781492075882/](https://www.oreilly.com/library/view/flow-
architectures/9781492075882/)
##
AI in RISC-V
* [RISC-V hardware & software ecosystem highlights in 2020](https://www.cnx-software.com/2020/12/10/risc-v-hardware-software-ecosystem-highlights-in-2020)
##
Mixed reality
* [https://github.com/MIT-SPARK/Kimera](https://github.com/MIT-SPARK/Kimera)
* Kimera is a C++ library for real-time metric-semantic simultaneous localization and mapping, which uses camera images and inertial data to build a semantically annotated 3D mesh of the environment. Kimera is modular, ROS-enabled, and runs on a CPU.
#
Old Links
###
Reference
[https://drive.google.com/file/d/1xd5TZlEZnUUieXzw3Lxn3Sv7MwIajU_W/view?usp=sharing](https://drive.google.com/file/d/1xd5TZlEZnUUieXzw3Lxn3Sv7MwIajU_W/view?usp=sharing)
###
Link Groups
* [LinkedIn: Computer Vision, Deep Learning, Deep Reinforcement Learning, GANs, OpenCV, Caffe, TensorFlow,PyTorch](https://www.linkedin.com/groups/10320678/)
* [Source code](https://gitlab.com/pirahansiah)
* [Facebook : Deep Learning, Computer Vision, Robotics ](https://web.facebook.com/groups/185926728115336/)
* [The link to one-note notebook ](https://1drv.ms/u/s!AhG15hrdT9JOgR5GZgPjve65F-e5)
* [GitHub](https://github.com/pirahansiah)
###
Top website
* [https://paperswithcode.com/](https://paperswithcode.com/)
* [https://www.learnthepart.com/](https://www.learnthepart.com/)
* [https://hackaday.com/](https://hackaday.com/)
* [https://medium.com/@pirahansiah/timesaver-626019137fa9?sk=cde3334919d6c16ba0964fe021a24762](https://medium.com/@pirahansiah/timesaver-626019137fa9?sk=cde3334919d6c16ba0964fe021a24762)
* hbrew install youtube-dl
* [https://www.masterclass.com/](https://www.masterclass.com/)
* [Deep Learning for coders (2020)](https://www.youtube.com/user/howardjeremyp)
* [Deep Learning for Video](https://mcv-m6-video.github.io/deepvideo-2019/) (Master in Computer Vision Barcelona)
* [Augmented Reality using ArUco Markers in OpenCV (C++ / Python)](https://www.learnopencv.com/augmented-reality-using-aruco-markers-in-opencv-c-python/)
* [https://explainshell.com/](https://explainshell.com/)
* [https://stackoverflow.blog/2020/02/12/when-laziness-is-efficient-make-the-most-of-your-command-line/](https://stackoverflow.blog/2020/02/12/when-laziness-is-efficient-make-the-most-of-your-command-line/?utm_source=Iterable&utm_medium=email&utm_campaign=the_overflow_newsletter&utm_content=02-19-20)
* [https://link.medium.com/XA49Ke0Jt4](https://link.medium.com/XA49Ke0Jt4)
* [https://link.medium.com/Np0YEy1Jt4](https://link.medium.com/Np0YEy1Jt4)
###
Python
* [How to Write Beautiful Python Code With PEP 8](https://realpython.com/python-pep8/)
* [PEP 622 -- Structural Pattern Matching](https://www.python.org/dev/peps/pep-0622/)
* [Monitor Your Dependencies! Stop Being A Blind Data-Scientist.](https://towardsdatascience.com/monitor-your-dependencies-stop-being-a-blind-data-scientist-a3150bd64594)
###
Computer Vision
* [Hybrid CV/DL pipelines with OpenCV 4.4 G-API](https://opencv.org/hybrid-cv-dl-pipelines-with-opencv-4-4-g-api/)
* [PaddleDetection is an end-to-end object detection development kit based on PaddlePaddle, which aims to help developers in the whole development of training models, optimizing performance and inference speed, and deploying models. ](https://github.com/PaddlePaddle/PaddleDetection/blob/release/0.4/README_en.md)
* [https://github.com/google/mediapipe](https://github.com/google/mediapipe)
###
Documents
* [https://book.keybase.io/docs](https://book.keybase.io/docs)
* [kind is a tool for running local Kubernetes clusters using Docker container "nodes".](https://github.com/kubernetes-sigs/kind)
* [FINN is an experimental framework from Xilinx Research Labs to explore deep neural network inference on FPGAs. ](https://xilinx.github.io/finn/)
* [Gitter is a chat and networking platform that helps to manage, grow and connect communities through messaging, content and discovery.](https://gitter.im/)
* [Fair and useful benchmarks for measuring training and inference performance of ML hardware, software, and services.](https://mlperf.org/)
* [https://kepler.gl/demo](https://kepler.gl/demo)
* [Open source, highly available Prometheus setup with long term storage capabilities.](https://thanos.io/)
* [Deep Learning Design Patterns - Jr Data Scientist - Part 3 - Alternative Connectivity Patterns](https://www.youtube.com/watch?v=JI-MButCqUE)
###
Business
* [5 Ways to Make More Money as a Coach or Consultant](https://www.entrepreneur.com/article/283006)
* [https://www.youtube.com/watch?v=njx09wXb9o0&list=PLnhdsL4kFmVYMNq6F8k8UiFkc6fwIdk3o&index=5](https://www.youtube.com/watch?v=njx09wXb9o0&list=PLnhdsL4kFmVYMNq6F8k8UiFkc6fwIdk3o&index=5)
###
Tools
* Free convert video for mac opensource
* [https://github.com/HandBrake/HandBrake](https://github.com/HandBrake/HandBrake)
* [https://handbrake.fr/rotation.php?file=HandBrake-1.3.3.dmg](https://handbrake.fr/rotation.php?file=HandBrake-1.3.3.dmg)
* [global-gitignore.md](https://gist.github.com/subfuzion/db7f57fff2fb6998a16c)
* [https://nextbillion.ai/](https://nextbillion.ai/) Mapping platform built for enterprises
* [https://github.com/ondras/my-mind](https://github.com/ondras/my-mind) MindMap
* [Create and share beautiful images of your source code.](https://carbon.now.sh/)
* [Web IDE](https://replit.com/templates)
* [https://github.com/jely2002/youtube-dl-gui/releases/tag/v2.2.2](https://github.com/jely2002/youtube-dl-gui/releases/tag/v2.2.2)
###
Patents
[https://patents.google.com/?inventor=pirahansiah&oq=pirahansiah](https://patents.google.com/?inventor=pirahansiah&oq=pirahansiah)
1. System and method for providing advertisement contents based on facial analysis (WO2020141969A2)
2. A method for augmenting a plurality of face images (WO2021060971A1)
3. A method for detecting a moving vehicle (WO2021107761A1)
1. System and method for providing advertisement contents based on facial analysis (WO2020141969A2)
The present invention relates to a system (100) for providing advertisement
contents based on facial analysis comprising an image acquisition device (10)
to acquire an image of a user, a face detection module (20) to detect face of
the user in the image, an analysis module (40) to analyse the facial features
statistically using classification models retrieved from a classification
module (30), a database (60) to store matching rules, weighted advertisements
and a plurality of advertisement contents; and a display device (80) to
display the advertisement contents. The system (100) further comprises a
computation module (50) to compute weighted image of the user and a matching
module (70) to match the weighted image of the user with the weighted
advertisement to select an advertisement content based on facial analysis of
the user. A method of providing the advertisement contents based on facial
analysis is also provided thereof.
[https://patentimages.storage.googleapis.com/ff/3f/a5/e7b42ef58d8a03/WO2020141969A2.pdf](https://patentimages.storage.googleapis.com/ff/3f/a5/e7b42ef58d8a03/WO2020141969A2.pdf)
2. A method for augmenting a plurality of face images (WO2021060971A1)
The present invention relates to a method for increasing data for face
analysis in video surveillance. The method comprises the steps of acquiring at
least one face image from an image acquisition module (102), acquiring a
plurality of face images available on the internet using a data input module
(104), increasing face images by at least one data augmentation module (106
and 107), generating a plurality of face images based on a trained Generative
Adversarial Network, GAN technique by using a GAN module, selecting proper
images based on quality of the face images using a fuzzy logic module (111),
saving the selected images into a fifth database, and training the deep
learning module (113).
[https://patentimages.storage.googleapis.com/b8/d9/7f/ea8a5b789e1dad/WO2021060971A1.pdf](https://patentimages.storage.googleapis.com/b8/d9/7f/ea8a5b789e1dad/WO2021060971A1.pdf)
3. A method for detecting a moving vehicle (WO2021107761A1)
The present invention relates to a method for detecting a moving vehicle. The
method comprises the steps of grabbing an initial image from a video stream by
a vehicle detection module (1100), wherein the vehicle detection module (1100)
is a part of a system (1000) to identify moving vehicle, enhancing the
illumination of the initial image by the vehicle detection module (1100),
enhancing the edges within the initial image by the vehicle detection module
(1100), and finding vehicle based on homogenous properties of the body of the
vehicle by the vehicle detection module (1100). The step of finding vehicle
based on homogenous property of the body of the vehicle by the vehicle
detection module (1100) further comprising the sub-steps of closing open
edges, inverting the binary image, segmenting an inverted binary image,
filtering the noise based on geometric feature, and filtering the noise based
on relation.
[https://patentimages.storage.googleapis.com/16/41/83/2576e20c4a0af5/WO2021107761A1.pdf](https://patentimages.storage.googleapis.com/16/41/83/2576e20c4a0af5/WO2021107761A1.pdf)
###
Books
1. [book chapter titled “Camera Calibration and Video Stabilization Framework for Robot Localization” in the Book entitled “Control Engineering in Robotics and Industrial Automation" which will be published (24/07/2021) in Springer. ](https://www.waterstones.com/book/control-engineering-in-robotics-and-industrial-automation/muralindran-mariappan/mohd-rizal-arshad/9783030745394)
2. [book chapter titled “Augmented Optical Flow Methods for Video Stabilization", In Computational Intelligence: from theory to application. (2017) (p18). ](http://www.ukm.my/penerbit/penerbitan-2017/)
###
Journal Papers
* Using An Ant Colony Optimization Algorithm For Image Edge Detection As A Threshold Segmentation For OCR System Journal of Theoretical & Applied Information Technology, 95(21)
* * [http://www.jatit.org/volumes/Vol95No21/1Vol95No21.pdf](http://www.jatit.org/volumes/Vol95No21/1Vol95No21.pdf)
* GSFT-PSNR: Global Single Fuzzy Threshold Based on PSNR for OCR Systems, International Journal of Computer Science and Network Solutions 4(6)
* * [https://www.ijcsns.com/June.2016-Volume.4-No.6/Article01.pdf](https://www.ijcsns.com/June.2016-Volume.4-No.6/Article01.pdf)
* Adaptive Image Thresholding based On the Peak Signal-To-Noise Ratio, Research Journal of Applied Sciences, Engineering and Technology 8(9).
* * [http://www.academia.edu/download/44161592/Adaptive_Image_Thresholding_Based_on_the20160328-31366-1wyb1jc.pdf](http://www.academia.edu/download/44161592/Adaptive_Image_Thresholding_Based_on_the20160328-31366-1wyb1jc.pdf)
* Simultaneous Localization and Mapping Trends and Humanoid Robot Linkages, Asia-Pacific Journal of Information Technology and Multimedia (APJITM)
* * [http://journalarticle.ukm.my/6644/1/4429-10302-1-SM.pdf](http://journalarticle.ukm.my/6644/1/4429-10302-1-SM.pdf)
* Peak Signal-To-Noise Ratio Based On Threshold Method for Image Segmentation, Journal of Theoretical & Applied Information Technology, 57(2)
* * [http://www.jatit.org/volumes/Vol57No2/4Vol57No2.pdf](http://www.jatit.org/volumes/Vol57No2/4Vol57No2.pdf)
* Character recognition based on global feature extraction; Journal of Theoretical and Applied Information Technology 52
* * [http://www.jatit.org/volumes/Vol52No2/6Vol52No2.pdf](http://www.jatit.org/volumes/Vol52No2/6Vol52No2.pdf)
###
Conference Papers
* Pattern Image Significance for Camera Calibration, IEEE Student Conference on Research and Development (SCOReD 2017)
* [http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8305440&isnumber=8305342](http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8305440&isnumber=8305342)
* Augmented optical flow methods for video stabilization. 4th Artificial Intelligence Technology Postgraduate Seminar (CAITPS 2015)
* [http://www.academia.edu/download/45596617/farshid.pdf](http://www.academia.edu/download/45596617/farshid.pdf)
* Auto-Calibration for Multi-Modal Robot Vision based on Image Quality Assessment, The 10th Asian Control Conference (ASCC 2015)
* [https://doi.org/10.1109/ASCC.2015.7360336](https://doi.org/10.1109/ASCC.2015.7360336)
* 2D versus 3D Map for Environment Movement Objects, Second National Doctoral Seminar in Artificial Intelligence Technology (CAIT 2012)
* [http://www.ftsm.ukm.my/cait2012/images/Program%20Schedule%20CAIT2012.pdf](http://www.ftsm.ukm.my/cait2012/images/Program%20Schedule%20CAIT2012.pdf)
* Comparison Single Thresholding Method for Image Segmentation on Handwritten Images, International Conference on Pattern Analysis and Intelligent Robotics
* [https://doi.org/10.1109/ICPAIR.2011.5976918](https://doi.org/10.1109/ICPAIR.2011.5976918)
* License Plate Recognition with Multi-Threshold Based on Entropy, 3rd International Conference on Electrical Engineering and Informatics (ICEEI 2011)
* [https://doi.org/10.1109/ICEEI.2011.6021627](https://doi.org/10.1109/ICEEI.2011.6021627)
* Character recognition based on global feature extraction, 3rd International Conference On Electrical Engineering and Informatics (ICEEI 2011)
* [https://pdfs.semanticscholar.org/2d22/66bfb2f5ba5cb40b5946b82c620dc713d793.pdf](https://pdfs.semanticscholar.org/2d22/66bfb2f5ba5cb40b5946b82c620dc713d793.pdf)
* [https://doi.org/10.1109/ICEEI.2011.6021649](https://doi.org/10.1109/ICEEI.2011.6021649)
* Tafresh Grid: Grid computing in Tafresh university," 2011 IEEE 3rd International Conference on Communication Software and Networks, Xi'an, 2011, pp. 83-85.
* [http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6014009&isnumber=6013532](http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6014009&isnumber=6013532)
* Adaptive image segmentation based on Peak Signal to Noise Ratio for a license plate Recognition system, International Conference on Computer Applications and Industrial Electronics (ICCAIE 2010)
* [https://doi.org/10.1109/ICCAIE.2010.5735125](https://doi.org/10.1109/ICCAIE.2010.5735125)
* [http://www.academia.edu/download/44161592/Adaptive_Image_Thresholding_Based_on_the20160328-31366-1wyb1jc.pdf](http://www.academia.edu/download/44161592/Adaptive_Image_Thresholding_Based_on_the20160328-31366-1wyb1jc.pdf)
* Multi-threshold approach for license plate recognition system, International Conference on Signal and Image Processing WASET ICSIP 2010:1046-1050
* [http://waset.org/publications/3636](http://waset.org/publications/3636)
* An evaluation of classification techniques using enhanced Geometrical Topological Feature Analysis, 2nd Malaysian Joint Conference on Artificial Intelligence (MJCAI 2010)
* [https://scholar.google.com/scholar?oi=bibs&cluster=3038184255311332521&btnI=1&hl=en](https://scholar.google.com/scholar?oi=bibs&cluster=3038184255311332521&btnI=1&hl=en)
###
Articles on LinkedIn
* [ADRL: Advanced Deep Reinforcement Learning {Patents and papers; Main point summary on recently published research on DRL} (draft version Feb 2019) ]([https://www.linkedin.com/pulse/patents-papers-adrl-advanced-deep-reinforcement-feb-pirahansiah-phd/](https://www.linkedin.com/pulse/patents-papers-adrl-advanced-deep-reinforcement-feb-pirahansiah-phd/))
* [The most important research papers for deep learning (updated December, 2017)]([https://www.linkedin.com/pulse/most-important-research-papers-deep-learning-updated-2017-farshid/](https://www.linkedin.com/pulse/most-important-research-papers-deep-learning-updated-2017-farshid/) )
* [List of useful links (Videos, Slides, Articles) for Deep Learning ]([https://www.linkedin.com/pulse/list-useful-links-videos-slides-articles-deep-farshid-pirahansiah/](https://www.linkedin.com/pulse/list-useful-links-videos-slides-articles-deep-farshid-pirahansiah/))
* [Autonomous driving vehicles (Computer Vision, Deep Learning)]([https://www.linkedin.com/pulse/autonomous-driving-vehicles-computer-vision-deep-farshid-pirahansiah-1/](https://www.linkedin.com/pulse/autonomous-driving-vehicles-computer-vision-deep-farshid-pirahansiah-1/)
* [Thresholding]([https://www.linkedin.com/pulse/thresholding-farshid-pirahansiah/](https://www.linkedin.com/pulse/thresholding-farshid-pirahansiah/)
###
Slides slideshare
* Deep Learning for Computer Vision in Ubuntu 19; Part 1 installation [Link]([https://www.slideshare.net/pirahansiah/deep-learning-for-computer-vision-in-ubuntu-19-part-1-installation](https://www.slideshare.net/pirahansiah/deep-learning-for-computer-vision-in-ubuntu-19-part-1-installation)
* Using Deep Learning for Computer Vision Applications [Link]([https://www.slideshare.net/pirahansiah/using-deep-learning-for-computer-vision-applications](https://www.slideshare.net/pirahansiah/using-deep-learning-for-computer-vision-applications) )
* tensorflow1.3 digits6.0 Caffe [Link]([https://www.slideshare.net/pirahansiah/farshid-tensorflow13-digits60caffe](https://www.slideshare.net/pirahansiah/farshid-tensorflow13-digits60caffe) )
* Install TensorFlow 1.2 on macOS Sierra on MacBook (June 2017) [Link]([https://www.slideshare.net/pirahansiah/install-tensorflow-12-on-macos-sierra-on-macbook-june-2017](https://www.slideshare.net/pirahansiah/install-tensorflow-12-on-macos-sierra-on-macbook-june-2017) )
* Best Deep Learning Post from LinkedIn Group [Link]([https://www.slideshare.net/pirahansiah/best-deep-learning-post-from-linkedin-group](https://www.slideshare.net/pirahansiah/best-deep-learning-post-from-linkedin-group) )
* Install, Compile, Setup, Setting OpenCV 3.2, Visual C++ 2015, Win 64bit [Link]([https://www.slideshare.net/pirahansiah/install-compile-setup-setting-opencv-32-visual-c-2015-win-64bit](https://www.slideshare.net/pirahansiah/install-compile-setup-setting-opencv-32-visual-c-2015-win-64bit) )
* Layers in Deep Learning&Caffe layers (model architecture ) [Link]([https://www.slideshare.net/pirahansiah/layers-in-deep-learningcaffe-layers-model-architecture](https://www.slideshare.net/pirahansiah/layers-in-deep-learningcaffe-layers-model-architecture) )
* How to install Digits 5.1 on Ubuntu 14 [Link]([https://www.slideshare.net/pirahansiah/how-to-install-digits-51-on-ubuntu-14](https://www.slideshare.net/pirahansiah/how-to-install-digits-51-on-ubuntu-14) )
* Deep Learning for Video Analysis – part 1 (DeepStream SDK) [NVIDIA TensorRT || NVIDIA GPU Inference Engine (GIE)] [Link]([https://www.slideshare.net/pirahansiah/deep-learning-for-video-analysis-part-1-deepstream-sdk-nvidia-tensorrt-nvidia-gpu-inference-engine-gie](https://www.slideshare.net/pirahansiah/deep-learning-for-video-analysis-part-1-deepstream-sdk-nvidia-tensorrt-nvidia-gpu-inference-engine-gie) )
* Computer Vision, Deep Learning, OpenCV [Link]([https://www.slideshare.net/pirahansiah/computer-vision-deep-learning-opencv](https://www.slideshare.net/pirahansiah/computer-vision-deep-learning-opencv) )
###
Online Courses
* [Writing with Impact ](https://www.linkedin.com/learning/writing-with-impact)
* [Balancing Work and Life ](https://www.linkedin.com/learning/balancing-work-and-life)
* [Finance Foundations: Income Taxes ](https://www.linkedin.com/learning/finance-foundations-income-taxes-2)
* [Starting a Business with Family and Friends ](https://www.linkedin.com/learning/starting-a-business-with-family-and-friends)
* [Finance Essentials for Small Business ](https://www.linkedin.com/learning/finance-essentials-for-small-business)
* [Setting Up Your Small Business as a Legal Entity ](https://www.linkedin.com/learning/setting-up-your-small-business-as-a-legal-entity)
* [Creating a Business Plan ](https://www.linkedin.com/learning/creating-a-business-plan-2)
* [Understanding Business ](https://www.linkedin.com/learning/understanding-business)
* [Entrepreneurship: Finding and Testing Your Business Idea ](https://www.linkedin.com/learning/entrepreneurship-finding-and-testing-your-business-idea)
* [Guy Kawasaki on Entrepreneurship ](https://www.linkedin.com/learning/guy-kawasaki-on-entrepreneurship)
* [Financial Modeling Foundations ](https://www.linkedin.com/learning/financial-modeling-foundations)
* [Financial Accounting Foundations ](https://www.linkedin.com/learning/financial-accounting-foundations)
* [Strategic Planning Foundations ](https://www.linkedin.com/learning/strategic-planning-foundations)
* [5 Personal Finance Tips ](https://www.linkedin.com/learning/5-personal-finance-tips)
* [Investment Evaluation ](https://www.linkedin.com/learning/investment-evaluation)
* [Managing Your Personal Investments ](https://www.linkedin.com/learning/managing-your-personal-investments)
* [Financial Wellness: Managing Personal Cash Flow ](https://www.linkedin.com/learning/financial-wellness-managing-personal-cash-flow)
* [Financial Wellness for Couples and Families ](https://www.linkedin.com/learning/financial-wellness-for-couples-and-families)
* [Managing Your Personal Finances ](https://www.linkedin.com/learning/managing-your-personal-finances)
* [Finance Foundations ](https://www.linkedin.com/learning/finance-foundations-2)
* [Entrepreneurship Foundations ](https://www.linkedin.com/learning/entrepreneurship-foundations-2)
* [Introduction to Deep Learning with OpenCV ](https://www.linkedin.com/learning/introduction-to-deep-learning-with-opencv)
* [OpenCV for Python Developers ](https://www.linkedin.com/learning/opencv-for-python-developers)
* [Brad Feld on Validating Your Startup Idea ](https://www.linkedin.com/learning/brad-feld-on-validating-your-startup-idea)
* [Brad Feld on Raising Capital ](https://www.linkedin.com/learning/brad-feld-on-raising-capital)
* [Take a More Creative Approach to Problem-Solving ](https://www.linkedin.com/learning/take-a-more-creative-approach-to-problem-solving)
* [Professional Networking ](https://www.linkedin.com/learning/professional-networking)
* [Building Relationships While Working from Home ](https://www.linkedin.com/learning/building-relationships-while-working-from-home)
* [Entrepreneurship: Raising Startup Capital ](https://www.linkedin.com/learning/entrepreneurship-raising-startup-capital)
* [Business Analysis Foundations: Business Process Modeling ](https://www.linkedin.com/learning/business-analysis-foundations-business-process-modeling)
* [Communicating with Confidence ](https://www.linkedin.com/learning/communicating-with-confidence)
* [Machine Learning for iOS Developers ](https://www.linkedin.com/learning/machine-learning-for-ios-developers)
###
Learning path
* [Stay Ahead in Personal Finance ](https://www.linkedin.com/learning/paths/stay-ahead-in-personal-finance)
* [Become a Small Business Owner ](https://www.linkedin.com/learning/paths/become-a-small-business-owner)
#
Completed
###
Reference
[https://drive.google.com/file/d/1xd5TZlEZnUUieXzw3Lxn3Sv7MwIajU_W/view?usp=sharing](https://drive.google.com/file/d/1xd5TZlEZnUUieXzw3Lxn3Sv7MwIajU_W/view?usp=sharing)
###
Link of best Groups
* [LinkedIn: Computer Vision, Deep Learning, Deep Reinforcement Learning, GANs, OpenCV, Caffe, TensorFlow,PyTorch](https://www.linkedin.com/groups/10320678/)
* [Source code](https://gitlab.com/pirahansiah)
* [Facebook : Deep Learning, Computer Vision, Robotics ](https://web.facebook.com/groups/185926728115336/)
* [The link to one-note notebook ](https://1drv.ms/u/s!AhG15hrdT9JOgR5GZgPjve65F-e5)
* [GitHub](https://github.com/pirahansiah)
###
Books
* [The Art of Startup Fundraising](https://www.amazon.de/-/en/Alejandro-Cremades-ebook/dp/B01DQ3GY3Y)
* [Mathematics for Machine Learning](https://mml-book.github.io/)
* Principles of Economics (6th edition)
* The E-Myth Revisited Why Most Small Businesses Don't Work and What to Do About It
* Clean Code: A Handbook of Agile Software Craftsmanship (Robert C. Martin)
* Reinventing Your Life: The Breakthough Program to End Negative Behavior
* Ways Of Thinking: The Limits Of Rational Thought And Artificial Intelligence
* [https://images.kw.com/docs/2/1/2/212345/1285134779158_htwfaip.pdf](https://images.kw.com/docs/2/1/2/212345/1285134779158_htwfaip.pdf)
* * [Computer Vision: Algorithms and Applications](http://szeliski.org/Book/)
* [Multiple View Geometry in Computer Vision Second Edition](https://www.robots.ox.ac.uk/~vgg/hzbook/)
* [Complete to download the latest draft of Machine Learning Yearning](https://www.deeplearning.ai/machine-learning-yearning/)
* Multiple view geometry in computer vision
* Learning OpenCV Book by Adrian Kaehler and Gary Bradski
* Digital Image Processing, Global Edition by Rafael C. Gonzalez
* Introduction to Algorithms, 3rd Edition (The MIT Press)
* The Mythical Man-Month: Essays on Software Engineering
* [OpenCV-4-with-Python-Blueprints-Second-Edition](https://github.com/PacktPublishing/OpenCV-4-with-Python-Blueprints-Second-Edition)
###
Videos
* [https://www.youtube.com/computervisiondeeplearning](https://www.youtube.com/computervisiondeeplearning)
* [Two Minute Papers](https://www.youtube.com/c/K%C3%A1rolyZsolnai/videos)
* [Conference on Pattern Recognition](https://www.gcpr-vmv-vcbm-2020.uni-tuebingen.de/)
* [https://researchseminars.org/?fbclid=IwAR0Ly9WLONBMBteYI7IhlRaMYR_rQR6YrpdxLG_sUxPxGYKQhB0SOTmcjgY](https://researchseminars.org/?fbclid=IwAR0Ly9WLONBMBteYI7IhlRaMYR_rQR6YrpdxLG_sUxPxGYKQhB0SOTmcjgY)
###
Papers
* CALTag: High Precision Fiducial Markers for Camera
* Diatom Autofocusing in Brightfield Microscopy: a Comparative Study
* Analysis of focus measure operators in shape-from-focus
* Optical flow modeling and computation: A survey
* Toward general type 2 fuzzy logic systems based on zSlices
###
Site
* [Research Tools By: Nader Ale Ebrahim](https://www.mindmeister.com/39583892/research-tools-by-nader-ale-ebrahim?t=HMmnzlA4zN) ([MindMap](https://www.mindmeister.com/39583892/research-tools-by-nader-ale-ebrahim?fullscreen=1#))
Reference-
ComputerVisionDeepLearning.pdf
* [https://virgool.io/@r_alimorady/easy-install-cuda-document-hhk6nuylvl1w](https://virgool.io/@r_alimorady/easy-install-cuda-document-hhk6nuylvl1w)
* [https://techcommunity.microsoft.com/t5/azure-ai/introducing-multivariate-anomaly-detection/ba-p/2260679](https://techcommunity.microsoft.com/t5/azure-ai/introducing-multivariate-anomaly-detection/ba-p/2260679)
* [https://www.freertos.org/index.html](https://www.freertos.org/index.html)
* [https://en.wikipedia.org/wiki/Knowledge_distillation](https://en.wikipedia.org/wiki/Knowledge_distillation)
* [https://80000hours.org/2015/10/startup-salaries-and-equity-compensation/](https://80000hours.org/2015/10/startup-salaries-and-equity-compensation/)
* [https://www.thecvf.com/?page_id=413](https://www.thecvf.com/?page_id=413)
* [https://levelup.gitconnected.com/s-o-l-i-d-principles-explained-in-python-with-examples-83b2b43bdcde?gi=a1fee170c917](https://levelup.gitconnected.com/s-o-l-i-d-principles-explained-in-python-with-examples-83b2b43bdcde?gi=a1fee170c917)
* [https://arxiv.org/pdf/2104.13921.pdf](https://arxiv.org/pdf/2104.13921.pdf)
* [https://blog.paperspace.com/object-detection-directed-mask-r-cnn-keras/](https://blog.paperspace.com/object-detection-directed-mask-r-cnn-keras/)
* [https://pub.towardsai.net/will-transformers-replace-cnns-in-computer-vision-55657a196833](https://pub.towardsai.net/will-transformers-replace-cnns-in-computer-vision-55657a196833)
* [https://medium.com/@daviddelaiglesiacastro/3d-point-cloud-generation-from-3d-triangular-mesh-bbb602ecf238](https://medium.com/@daviddelaiglesiacastro/3d-point-cloud-generation-from-3d-triangular-mesh-bbb602ecf238)
*
[https://koinly.io/](https://koinly.io/)
site map: octopus.do
[https://www.startupgermany.nrw/startup-
contest/](https://www.startupgermany.nrw/startup-contest/)
[https://www.kickstarter.com/projects/opencv/opencv-ai-kit-oak-depth-
camera-4k-cv-edge-object-
detection/description](https://www.kickstarter.com/projects/opencv/opencv-ai-
kit-oak-depth-camera-4k-cv-edge-object-detection/description)
[HOW I GAINED 68,000 SUBSCRIBERS IN A YEAR! | My Strategy to Grow on YouTube
in 2021! - YouTube
](https://www.youtube.com/watch?v=bwd1dQr33K8&list=PLxC08P2Oexy2EJKezV02N9cp3-qOEh79Z)
[https://www.youtube.com/watch?v=bwd1dQr33K8&list=PLxC08P2Oexy2EJKezV02N9cp3-qOEh79Z](https://www.youtube.com/watch?v=bwd1dQr33K8&list=PLxC08P2Oexy2EJKezV02N9cp3-qOEh79Z)
[https://www.youtube.com/watch?v=cFdApmqlllg](https://www.youtube.com/watch?v=cFdApmqlllg)
[محمد رضا شجریان، آلبوم کامل در خیال -
YouTube](https://www.youtube.com/watch?v=cFdApmqlllg)
[دوره جامع گوگل آنالیتیکس(UA) |
آنالیتیپس](https://analytips.io/product/google-analyticsua/)
[رادیوگیک - شماره ۱۲۱ - ما این لارادیوگیک - شماره ۱۲۱ - ما این لا -
YouTube](https://www.youtube.com/watch?v=dzBLhio-DIc)
[Social Selling Index | Sales
Navigator](https://www.linkedin.com/sales/ssi?src=or-
search&veh=www.google.com)
[https://rschu.me/list-a-directory-with-tree-command-on-mac-
os-x-3b2d4c4a4827](https://rschu.me/list-a-directory-with-tree-command-on-mac-
os-x-3b2d4c4a4827)
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# Links
pirahansiah, Personal, Roadmap, Books, Online Courses
[](https://drive.google.com/open?id=1ELXvmqcSciCK8-TUVsyVRnYTuxnKta-_xze-
oXQexwY "Open Spreadsheet, Links in new window")
Links
Links from my research and interest
AI in RISC-V
Mixed reality
Old Links
Reference
Link Groups
Top website
Python
Computer Vision
Documents
Business
Tools
Patents
Books
Journal Papers
Conference Papers
Articles on LinkedIn
Slides slideshare
Online Courses
Learning path
Completed
Reference
Link of best Groups
Books
Videos
Papers
Site
Efficient Video Dataset Loading and Augmentation in PyTorch for deep learning
training loops.
GitHub[ https://lnkd.in/gpR8idsp](https://lnkd.in/gpR8idsp)
[https://remmina.org/how-to-install-remmina/](https://remmina.org/how-to-
install-remmina/)
[https://readme.so/](https://readme.so/)
#
Links from my research and interest
[Build Better Generative Adversarial Networks (GANs) - Andrew Ng -
2021](https://www.youtube.com/playlist?list=PLuv1FSpHurUfl44GWqaCzEhGP-aP_-
VnF)
[https://www.oreilly.com/library/view/flow-
architectures/9781492075882/](https://www.oreilly.com/library/view/flow-
architectures/9781492075882/)
##
AI in RISC-V
* [RISC-V hardware & software ecosystem highlights in 2020](https://www.cnx-software.com/2020/12/10/risc-v-hardware-software-ecosystem-highlights-in-2020)
##
Mixed reality
* [https://github.com/MIT-SPARK/Kimera](https://github.com/MIT-SPARK/Kimera)
* Kimera is a C++ library for real-time metric-semantic simultaneous localization and mapping, which uses camera images and inertial data to build a semantically annotated 3D mesh of the environment. Kimera is modular, ROS-enabled, and runs on a CPU.
#
Old Links
###
Reference
[https://drive.google.com/file/d/1xd5TZlEZnUUieXzw3Lxn3Sv7MwIajU_W/view?usp=sharing](https://drive.google.com/file/d/1xd5TZlEZnUUieXzw3Lxn3Sv7MwIajU_W/view?usp=sharing)
###
Link Groups
* [LinkedIn: Computer Vision, Deep Learning, Deep Reinforcement Learning, GANs, OpenCV, Caffe, TensorFlow,PyTorch](https://www.linkedin.com/groups/10320678/)
* [Source code](https://gitlab.com/pirahansiah)
* [Facebook : Deep Learning, Computer Vision, Robotics ](https://web.facebook.com/groups/185926728115336/)
* [The link to one-note notebook ](https://1drv.ms/u/s!AhG15hrdT9JOgR5GZgPjve65F-e5)
* [GitHub](https://github.com/pirahansiah)
###
Top website
* [https://paperswithcode.com/](https://paperswithcode.com/)
* [https://www.learnthepart.com/](https://www.learnthepart.com/)
* [https://hackaday.com/](https://hackaday.com/)
* [https://medium.com/@pirahansiah/timesaver-626019137fa9?sk=cde3334919d6c16ba0964fe021a24762](https://medium.com/@pirahansiah/timesaver-626019137fa9?sk=cde3334919d6c16ba0964fe021a24762)
* hbrew install youtube-dl
* [https://www.masterclass.com/](https://www.masterclass.com/)
* [Deep Learning for coders (2020)](https://www.youtube.com/user/howardjeremyp)
* [Deep Learning for Video](https://mcv-m6-video.github.io/deepvideo-2019/) (Master in Computer Vision Barcelona)
* [Augmented Reality using ArUco Markers in OpenCV (C++ / Python)](https://www.learnopencv.com/augmented-reality-using-aruco-markers-in-opencv-c-python/)
* [https://explainshell.com/](https://explainshell.com/)
* [https://stackoverflow.blog/2020/02/12/when-laziness-is-efficient-make-the-most-of-your-command-line/](https://stackoverflow.blog/2020/02/12/when-laziness-is-efficient-make-the-most-of-your-command-line/?utm_source=Iterable&utm_medium=email&utm_campaign=the_overflow_newsletter&utm_content=02-19-20)
* [https://link.medium.com/XA49Ke0Jt4](https://link.medium.com/XA49Ke0Jt4)
* [https://link.medium.com/Np0YEy1Jt4](https://link.medium.com/Np0YEy1Jt4)
###
Python
* [How to Write Beautiful Python Code With PEP 8](https://realpython.com/python-pep8/)
* [PEP 622 -- Structural Pattern Matching](https://www.python.org/dev/peps/pep-0622/)
* [Monitor Your Dependencies! Stop Being A Blind Data-Scientist.](https://towardsdatascience.com/monitor-your-dependencies-stop-being-a-blind-data-scientist-a3150bd64594)
###
Computer Vision
* [Hybrid CV/DL pipelines with OpenCV 4.4 G-API](https://opencv.org/hybrid-cv-dl-pipelines-with-opencv-4-4-g-api/)
* [PaddleDetection is an end-to-end object detection development kit based on PaddlePaddle, which aims to help developers in the whole development of training models, optimizing performance and inference speed, and deploying models. ](https://github.com/PaddlePaddle/PaddleDetection/blob/release/0.4/README_en.md)
* [https://github.com/google/mediapipe](https://github.com/google/mediapipe)
###
Documents
* [https://book.keybase.io/docs](https://book.keybase.io/docs)
* [kind is a tool for running local Kubernetes clusters using Docker container "nodes".](https://github.com/kubernetes-sigs/kind)
* [FINN is an experimental framework from Xilinx Research Labs to explore deep neural network inference on FPGAs. ](https://xilinx.github.io/finn/)
* [Gitter is a chat and networking platform that helps to manage, grow and connect communities through messaging, content and discovery.](https://gitter.im/)
* [Fair and useful benchmarks for measuring training and inference performance of ML hardware, software, and services.](https://mlperf.org/)
* [https://kepler.gl/demo](https://kepler.gl/demo)
* [Open source, highly available Prometheus setup with long term storage capabilities.](https://thanos.io/)
* [Deep Learning Design Patterns - Jr Data Scientist - Part 3 - Alternative Connectivity Patterns](https://www.youtube.com/watch?v=JI-MButCqUE)
###
Business
* [5 Ways to Make More Money as a Coach or Consultant](https://www.entrepreneur.com/article/283006)
* [https://www.youtube.com/watch?v=njx09wXb9o0&list=PLnhdsL4kFmVYMNq6F8k8UiFkc6fwIdk3o&index=5](https://www.youtube.com/watch?v=njx09wXb9o0&list=PLnhdsL4kFmVYMNq6F8k8UiFkc6fwIdk3o&index=5)
###
Tools
* Free convert video for mac opensource
* [https://github.com/HandBrake/HandBrake](https://github.com/HandBrake/HandBrake)
* [https://handbrake.fr/rotation.php?file=HandBrake-1.3.3.dmg](https://handbrake.fr/rotation.php?file=HandBrake-1.3.3.dmg)
* [global-gitignore.md](https://gist.github.com/subfuzion/db7f57fff2fb6998a16c)
* [https://nextbillion.ai/](https://nextbillion.ai/) Mapping platform built for enterprises
* [https://github.com/ondras/my-mind](https://github.com/ondras/my-mind) MindMap
* [Create and share beautiful images of your source code.](https://carbon.now.sh/)
* [Web IDE](https://replit.com/templates)
* [https://github.com/jely2002/youtube-dl-gui/releases/tag/v2.2.2](https://github.com/jely2002/youtube-dl-gui/releases/tag/v2.2.2)
###
Patents
[https://patents.google.com/?inventor=pirahansiah&oq=pirahansiah](https://patents.google.com/?inventor=pirahansiah&oq=pirahansiah)
1. System and method for providing advertisement contents based on facial analysis (WO2020141969A2)
2. A method for augmenting a plurality of face images (WO2021060971A1)
3. A method for detecting a moving vehicle (WO2021107761A1)
1. System and method for providing advertisement contents based on facial analysis (WO2020141969A2)
The present invention relates to a system (100) for providing advertisement
contents based on facial analysis comprising an image acquisition device (10)
to acquire an image of a user, a face detection module (20) to detect face of
the user in the image, an analysis module (40) to analyse the facial features
statistically using classification models retrieved from a classification
module (30), a database (60) to store matching rules, weighted advertisements
and a plurality of advertisement contents; and a display device (80) to
display the advertisement contents. The system (100) further comprises a
computation module (50) to compute weighted image of the user and a matching
module (70) to match the weighted image of the user with the weighted
advertisement to select an advertisement content based on facial analysis of
the user. A method of providing the advertisement contents based on facial
analysis is also provided thereof.
[https://patentimages.storage.googleapis.com/ff/3f/a5/e7b42ef58d8a03/WO2020141969A2.pdf](https://patentimages.storage.googleapis.com/ff/3f/a5/e7b42ef58d8a03/WO2020141969A2.pdf)
2. A method for augmenting a plurality of face images (WO2021060971A1)
The present invention relates to a method for increasing data for face
analysis in video surveillance. The method comprises the steps of acquiring at
least one face image from an image acquisition module (102), acquiring a
plurality of face images available on the internet using a data input module
(104), increasing face images by at least one data augmentation module (106
and 107), generating a plurality of face images based on a trained Generative
Adversarial Network, GAN technique by using a GAN module, selecting proper
images based on quality of the face images using a fuzzy logic module (111),
saving the selected images into a fifth database, and training the deep
learning module (113).
[https://patentimages.storage.googleapis.com/b8/d9/7f/ea8a5b789e1dad/WO2021060971A1.pdf](https://patentimages.storage.googleapis.com/b8/d9/7f/ea8a5b789e1dad/WO2021060971A1.pdf)
3. A method for detecting a moving vehicle (WO2021107761A1)
The present invention relates to a method for detecting a moving vehicle. The
method comprises the steps of grabbing an initial image from a video stream by
a vehicle detection module (1100), wherein the vehicle detection module (1100)
is a part of a system (1000) to identify moving vehicle, enhancing the
illumination of the initial image by the vehicle detection module (1100),
enhancing the edges within the initial image by the vehicle detection module
(1100), and finding vehicle based on homogenous properties of the body of the
vehicle by the vehicle detection module (1100). The step of finding vehicle
based on homogenous property of the body of the vehicle by the vehicle
detection module (1100) further comprising the sub-steps of closing open
edges, inverting the binary image, segmenting an inverted binary image,
filtering the noise based on geometric feature, and filtering the noise based
on relation.
[https://patentimages.storage.googleapis.com/16/41/83/2576e20c4a0af5/WO2021107761A1.pdf](https://patentimages.storage.googleapis.com/16/41/83/2576e20c4a0af5/WO2021107761A1.pdf)
###
Books
1. [book chapter titled “Camera Calibration and Video Stabilization Framework for Robot Localization” in the Book entitled “Control Engineering in Robotics and Industrial Automation" which will be published (24/07/2021) in Springer. ](https://www.waterstones.com/book/control-engineering-in-robotics-and-industrial-automation/muralindran-mariappan/mohd-rizal-arshad/9783030745394)
2. [book chapter titled “Augmented Optical Flow Methods for Video Stabilization", In Computational Intelligence: from theory to application. (2017) (p18). ](http://www.ukm.my/penerbit/penerbitan-2017/)
###
Journal Papers
* Using An Ant Colony Optimization Algorithm For Image Edge Detection As A Threshold Segmentation For OCR System Journal of Theoretical & Applied Information Technology, 95(21)
* * [http://www.jatit.org/volumes/Vol95No21/1Vol95No21.pdf](http://www.jatit.org/volumes/Vol95No21/1Vol95No21.pdf)
* GSFT-PSNR: Global Single Fuzzy Threshold Based on PSNR for OCR Systems, International Journal of Computer Science and Network Solutions 4(6)
* * [https://www.ijcsns.com/June.2016-Volume.4-No.6/Article01.pdf](https://www.ijcsns.com/June.2016-Volume.4-No.6/Article01.pdf)
* Adaptive Image Thresholding based On the Peak Signal-To-Noise Ratio, Research Journal of Applied Sciences, Engineering and Technology 8(9).
* * [http://www.academia.edu/download/44161592/Adaptive_Image_Thresholding_Based_on_the20160328-31366-1wyb1jc.pdf](http://www.academia.edu/download/44161592/Adaptive_Image_Thresholding_Based_on_the20160328-31366-1wyb1jc.pdf)
* Simultaneous Localization and Mapping Trends and Humanoid Robot Linkages, Asia-Pacific Journal of Information Technology and Multimedia (APJITM)
* * [http://journalarticle.ukm.my/6644/1/4429-10302-1-SM.pdf](http://journalarticle.ukm.my/6644/1/4429-10302-1-SM.pdf)
* Peak Signal-To-Noise Ratio Based On Threshold Method for Image Segmentation, Journal of Theoretical & Applied Information Technology, 57(2)
* * [http://www.jatit.org/volumes/Vol57No2/4Vol57No2.pdf](http://www.jatit.org/volumes/Vol57No2/4Vol57No2.pdf)
* Character recognition based on global feature extraction; Journal of Theoretical and Applied Information Technology 52
* * [http://www.jatit.org/volumes/Vol52No2/6Vol52No2.pdf](http://www.jatit.org/volumes/Vol52No2/6Vol52No2.pdf)
###
Conference Papers
* Pattern Image Significance for Camera Calibration, IEEE Student Conference on Research and Development (SCOReD 2017)
* [http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8305440&isnumber=8305342](http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8305440&isnumber=8305342)
* Augmented optical flow methods for video stabilization. 4th Artificial Intelligence Technology Postgraduate Seminar (CAITPS 2015)
* [http://www.academia.edu/download/45596617/farshid.pdf](http://www.academia.edu/download/45596617/farshid.pdf)
* Auto-Calibration for Multi-Modal Robot Vision based on Image Quality Assessment, The 10th Asian Control Conference (ASCC 2015)
* [https://doi.org/10.1109/ASCC.2015.7360336](https://doi.org/10.1109/ASCC.2015.7360336)
* 2D versus 3D Map for Environment Movement Objects, Second National Doctoral Seminar in Artificial Intelligence Technology (CAIT 2012)
* [http://www.ftsm.ukm.my/cait2012/images/Program%20Schedule%20CAIT2012.pdf](http://www.ftsm.ukm.my/cait2012/images/Program%20Schedule%20CAIT2012.pdf)
* Comparison Single Thresholding Method for Image Segmentation on Handwritten Images, International Conference on Pattern Analysis and Intelligent Robotics
* [https://doi.org/10.1109/ICPAIR.2011.5976918](https://doi.org/10.1109/ICPAIR.2011.5976918)
* License Plate Recognition with Multi-Threshold Based on Entropy, 3rd International Conference on Electrical Engineering and Informatics (ICEEI 2011)
* [https://doi.org/10.1109/ICEEI.2011.6021627](https://doi.org/10.1109/ICEEI.2011.6021627)
* Character recognition based on global feature extraction, 3rd International Conference On Electrical Engineering and Informatics (ICEEI 2011)
* [https://pdfs.semanticscholar.org/2d22/66bfb2f5ba5cb40b5946b82c620dc713d793.pdf](https://pdfs.semanticscholar.org/2d22/66bfb2f5ba5cb40b5946b82c620dc713d793.pdf)
* [https://doi.org/10.1109/ICEEI.2011.6021649](https://doi.org/10.1109/ICEEI.2011.6021649)
* Tafresh Grid: Grid computing in Tafresh university," 2011 IEEE 3rd International Conference on Communication Software and Networks, Xi'an, 2011, pp. 83-85.
* [http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6014009&isnumber=6013532](http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6014009&isnumber=6013532)
* Adaptive image segmentation based on Peak Signal to Noise Ratio for a license plate Recognition system, International Conference on Computer Applications and Industrial Electronics (ICCAIE 2010)
* [https://doi.org/10.1109/ICCAIE.2010.5735125](https://doi.org/10.1109/ICCAIE.2010.5735125)
* [http://www.academia.edu/download/44161592/Adaptive_Image_Thresholding_Based_on_the20160328-31366-1wyb1jc.pdf](http://www.academia.edu/download/44161592/Adaptive_Image_Thresholding_Based_on_the20160328-31366-1wyb1jc.pdf)
* Multi-threshold approach for license plate recognition system, International Conference on Signal and Image Processing WASET ICSIP 2010:1046-1050
* [http://waset.org/publications/3636](http://waset.org/publications/3636)
* An evaluation of classification techniques using enhanced Geometrical Topological Feature Analysis, 2nd Malaysian Joint Conference on Artificial Intelligence (MJCAI 2010)
* [https://scholar.google.com/scholar?oi=bibs&cluster=3038184255311332521&btnI=1&hl=en](https://scholar.google.com/scholar?oi=bibs&cluster=3038184255311332521&btnI=1&hl=en)
###
Articles on LinkedIn
* [ADRL: Advanced Deep Reinforcement Learning {Patents and papers; Main point summary on recently published research on DRL} (draft version Feb 2019) ]([https://www.linkedin.com/pulse/patents-papers-adrl-advanced-deep-reinforcement-feb-pirahansiah-phd/](https://www.linkedin.com/pulse/patents-papers-adrl-advanced-deep-reinforcement-feb-pirahansiah-phd/))
* [The most important research papers for deep learning (updated December, 2017)]([https://www.linkedin.com/pulse/most-important-research-papers-deep-learning-updated-2017-farshid/](https://www.linkedin.com/pulse/most-important-research-papers-deep-learning-updated-2017-farshid/) )
* [List of useful links (Videos, Slides, Articles) for Deep Learning ]([https://www.linkedin.com/pulse/list-useful-links-videos-slides-articles-deep-farshid-pirahansiah/](https://www.linkedin.com/pulse/list-useful-links-videos-slides-articles-deep-farshid-pirahansiah/))
* [Autonomous driving vehicles (Computer Vision, Deep Learning)]([https://www.linkedin.com/pulse/autonomous-driving-vehicles-computer-vision-deep-farshid-pirahansiah-1/](https://www.linkedin.com/pulse/autonomous-driving-vehicles-computer-vision-deep-farshid-pirahansiah-1/)
* [Thresholding]([https://www.linkedin.com/pulse/thresholding-farshid-pirahansiah/](https://www.linkedin.com/pulse/thresholding-farshid-pirahansiah/)
###
Slides slideshare
* Deep Learning for Computer Vision in Ubuntu 19; Part 1 installation [Link]([https://www.slideshare.net/pirahansiah/deep-learning-for-computer-vision-in-ubuntu-19-part-1-installation](https://www.slideshare.net/pirahansiah/deep-learning-for-computer-vision-in-ubuntu-19-part-1-installation)
* Using Deep Learning for Computer Vision Applications [Link]([https://www.slideshare.net/pirahansiah/using-deep-learning-for-computer-vision-applications](https://www.slideshare.net/pirahansiah/using-deep-learning-for-computer-vision-applications) )
* tensorflow1.3 digits6.0 Caffe [Link]([https://www.slideshare.net/pirahansiah/farshid-tensorflow13-digits60caffe](https://www.slideshare.net/pirahansiah/farshid-tensorflow13-digits60caffe) )
* Install TensorFlow 1.2 on macOS Sierra on MacBook (June 2017) [Link]([https://www.slideshare.net/pirahansiah/install-tensorflow-12-on-macos-sierra-on-macbook-june-2017](https://www.slideshare.net/pirahansiah/install-tensorflow-12-on-macos-sierra-on-macbook-june-2017) )
* Best Deep Learning Post from LinkedIn Group [Link]([https://www.slideshare.net/pirahansiah/best-deep-learning-post-from-linkedin-group](https://www.slideshare.net/pirahansiah/best-deep-learning-post-from-linkedin-group) )
* Install, Compile, Setup, Setting OpenCV 3.2, Visual C++ 2015, Win 64bit [Link]([https://www.slideshare.net/pirahansiah/install-compile-setup-setting-opencv-32-visual-c-2015-win-64bit](https://www.slideshare.net/pirahansiah/install-compile-setup-setting-opencv-32-visual-c-2015-win-64bit) )
* Layers in Deep Learning&Caffe layers (model architecture ) [Link]([https://www.slideshare.net/pirahansiah/layers-in-deep-learningcaffe-layers-model-architecture](https://www.slideshare.net/pirahansiah/layers-in-deep-learningcaffe-layers-model-architecture) )
* How to install Digits 5.1 on Ubuntu 14 [Link]([https://www.slideshare.net/pirahansiah/how-to-install-digits-51-on-ubuntu-14](https://www.slideshare.net/pirahansiah/how-to-install-digits-51-on-ubuntu-14) )
* Deep Learning for Video Analysis – part 1 (DeepStream SDK) [NVIDIA TensorRT || NVIDIA GPU Inference Engine (GIE)] [Link]([https://www.slideshare.net/pirahansiah/deep-learning-for-video-analysis-part-1-deepstream-sdk-nvidia-tensorrt-nvidia-gpu-inference-engine-gie](https://www.slideshare.net/pirahansiah/deep-learning-for-video-analysis-part-1-deepstream-sdk-nvidia-tensorrt-nvidia-gpu-inference-engine-gie) )
* Computer Vision, Deep Learning, OpenCV [Link]([https://www.slideshare.net/pirahansiah/computer-vision-deep-learning-opencv](https://www.slideshare.net/pirahansiah/computer-vision-deep-learning-opencv) )
###
Online Courses
* [Writing with Impact ](https://www.linkedin.com/learning/writing-with-impact)
* [Balancing Work and Life ](https://www.linkedin.com/learning/balancing-work-and-life)
* [Finance Foundations: Income Taxes ](https://www.linkedin.com/learning/finance-foundations-income-taxes-2)
* [Starting a Business with Family and Friends ](https://www.linkedin.com/learning/starting-a-business-with-family-and-friends)
* [Finance Essentials for Small Business ](https://www.linkedin.com/learning/finance-essentials-for-small-business)
* [Setting Up Your Small Business as a Legal Entity ](https://www.linkedin.com/learning/setting-up-your-small-business-as-a-legal-entity)
* [Creating a Business Plan ](https://www.linkedin.com/learning/creating-a-business-plan-2)
* [Understanding Business ](https://www.linkedin.com/learning/understanding-business)
* [Entrepreneurship: Finding and Testing Your Business Idea ](https://www.linkedin.com/learning/entrepreneurship-finding-and-testing-your-business-idea)
* [Guy Kawasaki on Entrepreneurship ](https://www.linkedin.com/learning/guy-kawasaki-on-entrepreneurship)
* [Financial Modeling Foundations ](https://www.linkedin.com/learning/financial-modeling-foundations)
* [Financial Accounting Foundations ](https://www.linkedin.com/learning/financial-accounting-foundations)
* [Strategic Planning Foundations ](https://www.linkedin.com/learning/strategic-planning-foundations)
* [5 Personal Finance Tips ](https://www.linkedin.com/learning/5-personal-finance-tips)
* [Investment Evaluation ](https://www.linkedin.com/learning/investment-evaluation)
* [Managing Your Personal Investments ](https://www.linkedin.com/learning/managing-your-personal-investments)
* [Financial Wellness: Managing Personal Cash Flow ](https://www.linkedin.com/learning/financial-wellness-managing-personal-cash-flow)
* [Financial Wellness for Couples and Families ](https://www.linkedin.com/learning/financial-wellness-for-couples-and-families)
* [Managing Your Personal Finances ](https://www.linkedin.com/learning/managing-your-personal-finances)
* [Finance Foundations ](https://www.linkedin.com/learning/finance-foundations-2)
* [Entrepreneurship Foundations ](https://www.linkedin.com/learning/entrepreneurship-foundations-2)
* [Introduction to Deep Learning with OpenCV ](https://www.linkedin.com/learning/introduction-to-deep-learning-with-opencv)
* [OpenCV for Python Developers ](https://www.linkedin.com/learning/opencv-for-python-developers)
* [Brad Feld on Validating Your Startup Idea ](https://www.linkedin.com/learning/brad-feld-on-validating-your-startup-idea)
* [Brad Feld on Raising Capital ](https://www.linkedin.com/learning/brad-feld-on-raising-capital)
* [Take a More Creative Approach to Problem-Solving ](https://www.linkedin.com/learning/take-a-more-creative-approach-to-problem-solving)
* [Professional Networking ](https://www.linkedin.com/learning/professional-networking)
* [Building Relationships While Working from Home ](https://www.linkedin.com/learning/building-relationships-while-working-from-home)
* [Entrepreneurship: Raising Startup Capital ](https://www.linkedin.com/learning/entrepreneurship-raising-startup-capital)
* [Business Analysis Foundations: Business Process Modeling ](https://www.linkedin.com/learning/business-analysis-foundations-business-process-modeling)
* [Communicating with Confidence ](https://www.linkedin.com/learning/communicating-with-confidence)
* [Machine Learning for iOS Developers ](https://www.linkedin.com/learning/machine-learning-for-ios-developers)
###
Learning path
* [Stay Ahead in Personal Finance ](https://www.linkedin.com/learning/paths/stay-ahead-in-personal-finance)
* [Become a Small Business Owner ](https://www.linkedin.com/learning/paths/become-a-small-business-owner)
#
Completed
###
Reference
[https://drive.google.com/file/d/1xd5TZlEZnUUieXzw3Lxn3Sv7MwIajU_W/view?usp=sharing](https://drive.google.com/file/d/1xd5TZlEZnUUieXzw3Lxn3Sv7MwIajU_W/view?usp=sharing)
###
Link of best Groups
* [LinkedIn: Computer Vision, Deep Learning, Deep Reinforcement Learning, GANs, OpenCV, Caffe, TensorFlow,PyTorch](https://www.linkedin.com/groups/10320678/)
* [Source code](https://gitlab.com/pirahansiah)
* [Facebook : Deep Learning, Computer Vision, Robotics ](https://web.facebook.com/groups/185926728115336/)
* [The link to one-note notebook ](https://1drv.ms/u/s!AhG15hrdT9JOgR5GZgPjve65F-e5)
* [GitHub](https://github.com/pirahansiah)
###
Books
* [The Art of Startup Fundraising](https://www.amazon.de/-/en/Alejandro-Cremades-ebook/dp/B01DQ3GY3Y)
* [Mathematics for Machine Learning](https://mml-book.github.io/)
* Principles of Economics (6th edition)
* The E-Myth Revisited Why Most Small Businesses Don't Work and What to Do About It
* Clean Code: A Handbook of Agile Software Craftsmanship (Robert C. Martin)
* Reinventing Your Life: The Breakthough Program to End Negative Behavior
* Ways Of Thinking: The Limits Of Rational Thought And Artificial Intelligence
* [https://images.kw.com/docs/2/1/2/212345/1285134779158_htwfaip.pdf](https://images.kw.com/docs/2/1/2/212345/1285134779158_htwfaip.pdf)
* * [Computer Vision: Algorithms and Applications](http://szeliski.org/Book/)
* [Multiple View Geometry in Computer Vision Second Edition](https://www.robots.ox.ac.uk/~vgg/hzbook/)
* [Complete to download the latest draft of Machine Learning Yearning](https://www.deeplearning.ai/machine-learning-yearning/)
* Multiple view geometry in computer vision
* Learning OpenCV Book by Adrian Kaehler and Gary Bradski
* Digital Image Processing, Global Edition by Rafael C. Gonzalez
* Introduction to Algorithms, 3rd Edition (The MIT Press)
* The Mythical Man-Month: Essays on Software Engineering
* [OpenCV-4-with-Python-Blueprints-Second-Edition](https://github.com/PacktPublishing/OpenCV-4-with-Python-Blueprints-Second-Edition)
###
Videos
* [https://www.youtube.com/computervisiondeeplearning](https://www.youtube.com/computervisiondeeplearning)
* [Two Minute Papers](https://www.youtube.com/c/K%C3%A1rolyZsolnai/videos)
* [Conference on Pattern Recognition](https://www.gcpr-vmv-vcbm-2020.uni-tuebingen.de/)
* [https://researchseminars.org/?fbclid=IwAR0Ly9WLONBMBteYI7IhlRaMYR_rQR6YrpdxLG_sUxPxGYKQhB0SOTmcjgY](https://researchseminars.org/?fbclid=IwAR0Ly9WLONBMBteYI7IhlRaMYR_rQR6YrpdxLG_sUxPxGYKQhB0SOTmcjgY)
###
Papers
* CALTag: High Precision Fiducial Markers for Camera
* Diatom Autofocusing in Brightfield Microscopy: a Comparative Study
* Analysis of focus measure operators in shape-from-focus
* Optical flow modeling and computation: A survey
* Toward general type 2 fuzzy logic systems based on zSlices
###
Site
* [Research Tools By: Nader Ale Ebrahim](https://www.mindmeister.com/39583892/research-tools-by-nader-ale-ebrahim?t=HMmnzlA4zN) ([MindMap](https://www.mindmeister.com/39583892/research-tools-by-nader-ale-ebrahim?fullscreen=1#))
Reference-
ComputerVisionDeepLearning.pdf
* [https://virgool.io/@r_alimorady/easy-install-cuda-document-hhk6nuylvl1w](https://virgool.io/@r_alimorady/easy-install-cuda-document-hhk6nuylvl1w)
* [https://techcommunity.microsoft.com/t5/azure-ai/introducing-multivariate-anomaly-detection/ba-p/2260679](https://techcommunity.microsoft.com/t5/azure-ai/introducing-multivariate-anomaly-detection/ba-p/2260679)
* [https://www.freertos.org/index.html](https://www.freertos.org/index.html)
* [https://en.wikipedia.org/wiki/Knowledge_distillation](https://en.wikipedia.org/wiki/Knowledge_distillation)
* [https://80000hours.org/2015/10/startup-salaries-and-equity-compensation/](https://80000hours.org/2015/10/startup-salaries-and-equity-compensation/)
* [https://www.thecvf.com/?page_id=413](https://www.thecvf.com/?page_id=413)
* [https://levelup.gitconnected.com/s-o-l-i-d-principles-explained-in-python-with-examples-83b2b43bdcde?gi=a1fee170c917](https://levelup.gitconnected.com/s-o-l-i-d-principles-explained-in-python-with-examples-83b2b43bdcde?gi=a1fee170c917)
* [https://arxiv.org/pdf/2104.13921.pdf](https://arxiv.org/pdf/2104.13921.pdf)
* [https://blog.paperspace.com/object-detection-directed-mask-r-cnn-keras/](https://blog.paperspace.com/object-detection-directed-mask-r-cnn-keras/)
* [https://pub.towardsai.net/will-transformers-replace-cnns-in-computer-vision-55657a196833](https://pub.towardsai.net/will-transformers-replace-cnns-in-computer-vision-55657a196833)
* [https://medium.com/@daviddelaiglesiacastro/3d-point-cloud-generation-from-3d-triangular-mesh-bbb602ecf238](https://medium.com/@daviddelaiglesiacastro/3d-point-cloud-generation-from-3d-triangular-mesh-bbb602ecf238)
*
[https://koinly.io/](https://koinly.io/)
site map: octopus.do
[https://www.startupgermany.nrw/startup-
contest/](https://www.startupgermany.nrw/startup-contest/)
[https://www.kickstarter.com/projects/opencv/opencv-ai-kit-oak-depth-
camera-4k-cv-edge-object-
detection/description](https://www.kickstarter.com/projects/opencv/opencv-ai-
kit-oak-depth-camera-4k-cv-edge-object-detection/description)
[HOW I GAINED 68,000 SUBSCRIBERS IN A YEAR! | My Strategy to Grow on YouTube
in 2021! - YouTube
](https://www.youtube.com/watch?v=bwd1dQr33K8&list=PLxC08P2Oexy2EJKezV02N9cp3-qOEh79Z)
[https://www.youtube.com/watch?v=bwd1dQr33K8&list=PLxC08P2Oexy2EJKezV02N9cp3-qOEh79Z](https://www.youtube.com/watch?v=bwd1dQr33K8&list=PLxC08P2Oexy2EJKezV02N9cp3-qOEh79Z)
[https://www.youtube.com/watch?v=cFdApmqlllg](https://www.youtube.com/watch?v=cFdApmqlllg)
[محمد رضا شجریان، آلبوم کامل در خیال -
YouTube](https://www.youtube.com/watch?v=cFdApmqlllg)
[دوره جامع گوگل آنالیتیکس(UA) |
آنالیتیپس](https://analytips.io/product/google-analyticsua/)
[رادیوگیک - شماره ۱۲۱ - ما این لارادیوگیک - شماره ۱۲۱ - ما این لا -
YouTube](https://www.youtube.com/watch?v=dzBLhio-DIc)
[Social Selling Index | Sales
Navigator](https://www.linkedin.com/sales/ssi?src=or-
search&veh=www.google.com)
[https://rschu.me/list-a-directory-with-tree-command-on-mac-
os-x-3b2d4c4a4827](https://rschu.me/list-a-directory-with-tree-command-on-mac-
os-x-3b2d4c4a4827)
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# Links
pirahansiah, Personal, Roadmap, Books, Online Courses
[](https://drive.google.com/open?id=1ELXvmqcSciCK8-TUVsyVRnYTuxnKta-_xze-
oXQexwY "Open Spreadsheet, Links in new window")
Links
Links from my research and interest
AI in RISC-V
Mixed reality
Old Links
Reference
Link Groups
Top website
Python
Computer Vision
Documents
Business
Tools
Patents
Books
Journal Papers
Conference Papers
Articles on LinkedIn
Slides slideshare
Online Courses
Learning path
Completed
Reference
Link of best Groups
Books
Videos
Papers
Site
Efficient Video Dataset Loading and Augmentation in PyTorch for deep learning
training loops.
GitHub[ https://lnkd.in/gpR8idsp](https://lnkd.in/gpR8idsp)
[https://remmina.org/how-to-install-remmina/](https://remmina.org/how-to-
install-remmina/)
[https://readme.so/](https://readme.so/)
#
Links from my research and interest
[Build Better Generative Adversarial Networks (GANs) - Andrew Ng -
2021](https://www.youtube.com/playlist?list=PLuv1FSpHurUfl44GWqaCzEhGP-aP_-
VnF)
[https://www.oreilly.com/library/view/flow-
architectures/9781492075882/](https://www.oreilly.com/library/view/flow-
architectures/9781492075882/)
##
AI in RISC-V
* [RISC-V hardware & software ecosystem highlights in 2020](https://www.cnx-software.com/2020/12/10/risc-v-hardware-software-ecosystem-highlights-in-2020)
##
Mixed reality
* [https://github.com/MIT-SPARK/Kimera](https://github.com/MIT-SPARK/Kimera)
* Kimera is a C++ library for real-time metric-semantic simultaneous localization and mapping, which uses camera images and inertial data to build a semantically annotated 3D mesh of the environment. Kimera is modular, ROS-enabled, and runs on a CPU.
#
Old Links
###
Reference
[https://drive.google.com/file/d/1xd5TZlEZnUUieXzw3Lxn3Sv7MwIajU_W/view?usp=sharing](https://drive.google.com/file/d/1xd5TZlEZnUUieXzw3Lxn3Sv7MwIajU_W/view?usp=sharing)
###
Link Groups
* [LinkedIn: Computer Vision, Deep Learning, Deep Reinforcement Learning, GANs, OpenCV, Caffe, TensorFlow,PyTorch](https://www.linkedin.com/groups/10320678/)
* [Source code](https://gitlab.com/pirahansiah)
* [Facebook : Deep Learning, Computer Vision, Robotics ](https://web.facebook.com/groups/185926728115336/)
* [The link to one-note notebook ](https://1drv.ms/u/s!AhG15hrdT9JOgR5GZgPjve65F-e5)
* [GitHub](https://github.com/pirahansiah)
###
Top website
* [https://paperswithcode.com/](https://paperswithcode.com/)
* [https://www.learnthepart.com/](https://www.learnthepart.com/)
* [https://hackaday.com/](https://hackaday.com/)
* [https://medium.com/@pirahansiah/timesaver-626019137fa9?sk=cde3334919d6c16ba0964fe021a24762](https://medium.com/@pirahansiah/timesaver-626019137fa9?sk=cde3334919d6c16ba0964fe021a24762)
* hbrew install youtube-dl
* [https://www.masterclass.com/](https://www.masterclass.com/)
* [Deep Learning for coders (2020)](https://www.youtube.com/user/howardjeremyp)
* [Deep Learning for Video](https://mcv-m6-video.github.io/deepvideo-2019/) (Master in Computer Vision Barcelona)
* [Augmented Reality using ArUco Markers in OpenCV (C++ / Python)](https://www.learnopencv.com/augmented-reality-using-aruco-markers-in-opencv-c-python/)
* [https://explainshell.com/](https://explainshell.com/)
* [https://stackoverflow.blog/2020/02/12/when-laziness-is-efficient-make-the-most-of-your-command-line/](https://stackoverflow.blog/2020/02/12/when-laziness-is-efficient-make-the-most-of-your-command-line/?utm_source=Iterable&utm_medium=email&utm_campaign=the_overflow_newsletter&utm_content=02-19-20)
* [https://link.medium.com/XA49Ke0Jt4](https://link.medium.com/XA49Ke0Jt4)
* [https://link.medium.com/Np0YEy1Jt4](https://link.medium.com/Np0YEy1Jt4)
###
Python
* [How to Write Beautiful Python Code With PEP 8](https://realpython.com/python-pep8/)
* [PEP 622 -- Structural Pattern Matching](https://www.python.org/dev/peps/pep-0622/)
* [Monitor Your Dependencies! Stop Being A Blind Data-Scientist.](https://towardsdatascience.com/monitor-your-dependencies-stop-being-a-blind-data-scientist-a3150bd64594)
###
Computer Vision
* [Hybrid CV/DL pipelines with OpenCV 4.4 G-API](https://opencv.org/hybrid-cv-dl-pipelines-with-opencv-4-4-g-api/)
* [PaddleDetection is an end-to-end object detection development kit based on PaddlePaddle, which aims to help developers in the whole development of training models, optimizing performance and inference speed, and deploying models. ](https://github.com/PaddlePaddle/PaddleDetection/blob/release/0.4/README_en.md)
* [https://github.com/google/mediapipe](https://github.com/google/mediapipe)
###
Documents
* [https://book.keybase.io/docs](https://book.keybase.io/docs)
* [kind is a tool for running local Kubernetes clusters using Docker container "nodes".](https://github.com/kubernetes-sigs/kind)
* [FINN is an experimental framework from Xilinx Research Labs to explore deep neural network inference on FPGAs. ](https://xilinx.github.io/finn/)
* [Gitter is a chat and networking platform that helps to manage, grow and connect communities through messaging, content and discovery.](https://gitter.im/)
* [Fair and useful benchmarks for measuring training and inference performance of ML hardware, software, and services.](https://mlperf.org/)
* [https://kepler.gl/demo](https://kepler.gl/demo)
* [Open source, highly available Prometheus setup with long term storage capabilities.](https://thanos.io/)
* [Deep Learning Design Patterns - Jr Data Scientist - Part 3 - Alternative Connectivity Patterns](https://www.youtube.com/watch?v=JI-MButCqUE)
###
Business
* [5 Ways to Make More Money as a Coach or Consultant](https://www.entrepreneur.com/article/283006)
* [https://www.youtube.com/watch?v=njx09wXb9o0&list=PLnhdsL4kFmVYMNq6F8k8UiFkc6fwIdk3o&index=5](https://www.youtube.com/watch?v=njx09wXb9o0&list=PLnhdsL4kFmVYMNq6F8k8UiFkc6fwIdk3o&index=5)
###
Tools
* Free convert video for mac opensource
* [https://github.com/HandBrake/HandBrake](https://github.com/HandBrake/HandBrake)
* [https://handbrake.fr/rotation.php?file=HandBrake-1.3.3.dmg](https://handbrake.fr/rotation.php?file=HandBrake-1.3.3.dmg)
* [global-gitignore.md](https://gist.github.com/subfuzion/db7f57fff2fb6998a16c)
* [https://nextbillion.ai/](https://nextbillion.ai/) Mapping platform built for enterprises
* [https://github.com/ondras/my-mind](https://github.com/ondras/my-mind) MindMap
* [Create and share beautiful images of your source code.](https://carbon.now.sh/)
* [Web IDE](https://replit.com/templates)
* [https://github.com/jely2002/youtube-dl-gui/releases/tag/v2.2.2](https://github.com/jely2002/youtube-dl-gui/releases/tag/v2.2.2)
###
Patents
[https://patents.google.com/?inventor=pirahansiah&oq=pirahansiah](https://patents.google.com/?inventor=pirahansiah&oq=pirahansiah)
1. System and method for providing advertisement contents based on facial analysis (WO2020141969A2)
2. A method for augmenting a plurality of face images (WO2021060971A1)
3. A method for detecting a moving vehicle (WO2021107761A1)
1. System and method for providing advertisement contents based on facial analysis (WO2020141969A2)
The present invention relates to a system (100) for providing advertisement
contents based on facial analysis comprising an image acquisition device (10)
to acquire an image of a user, a face detection module (20) to detect face of
the user in the image, an analysis module (40) to analyse the facial features
statistically using classification models retrieved from a classification
module (30), a database (60) to store matching rules, weighted advertisements
and a plurality of advertisement contents; and a display device (80) to
display the advertisement contents. The system (100) further comprises a
computation module (50) to compute weighted image of the user and a matching
module (70) to match the weighted image of the user with the weighted
advertisement to select an advertisement content based on facial analysis of
the user. A method of providing the advertisement contents based on facial
analysis is also provided thereof.
[https://patentimages.storage.googleapis.com/ff/3f/a5/e7b42ef58d8a03/WO2020141969A2.pdf](https://patentimages.storage.googleapis.com/ff/3f/a5/e7b42ef58d8a03/WO2020141969A2.pdf)
2. A method for augmenting a plurality of face images (WO2021060971A1)
The present invention relates to a method for increasing data for face
analysis in video surveillance. The method comprises the steps of acquiring at
least one face image from an image acquisition module (102), acquiring a
plurality of face images available on the internet using a data input module
(104), increasing face images by at least one data augmentation module (106
and 107), generating a plurality of face images based on a trained Generative
Adversarial Network, GAN technique by using a GAN module, selecting proper
images based on quality of the face images using a fuzzy logic module (111),
saving the selected images into a fifth database, and training the deep
learning module (113).
[https://patentimages.storage.googleapis.com/b8/d9/7f/ea8a5b789e1dad/WO2021060971A1.pdf](https://patentimages.storage.googleapis.com/b8/d9/7f/ea8a5b789e1dad/WO2021060971A1.pdf)
3. A method for detecting a moving vehicle (WO2021107761A1)
The present invention relates to a method for detecting a moving vehicle. The
method comprises the steps of grabbing an initial image from a video stream by
a vehicle detection module (1100), wherein the vehicle detection module (1100)
is a part of a system (1000) to identify moving vehicle, enhancing the
illumination of the initial image by the vehicle detection module (1100),
enhancing the edges within the initial image by the vehicle detection module
(1100), and finding vehicle based on homogenous properties of the body of the
vehicle by the vehicle detection module (1100). The step of finding vehicle
based on homogenous property of the body of the vehicle by the vehicle
detection module (1100) further comprising the sub-steps of closing open
edges, inverting the binary image, segmenting an inverted binary image,
filtering the noise based on geometric feature, and filtering the noise based
on relation.
[https://patentimages.storage.googleapis.com/16/41/83/2576e20c4a0af5/WO2021107761A1.pdf](https://patentimages.storage.googleapis.com/16/41/83/2576e20c4a0af5/WO2021107761A1.pdf)
###
Books
1. [book chapter titled “Camera Calibration and Video Stabilization Framework for Robot Localization” in the Book entitled “Control Engineering in Robotics and Industrial Automation" which will be published (24/07/2021) in Springer. ](https://www.waterstones.com/book/control-engineering-in-robotics-and-industrial-automation/muralindran-mariappan/mohd-rizal-arshad/9783030745394)
2. [book chapter titled “Augmented Optical Flow Methods for Video Stabilization", In Computational Intelligence: from theory to application. (2017) (p18). ](http://www.ukm.my/penerbit/penerbitan-2017/)
###
Journal Papers
* Using An Ant Colony Optimization Algorithm For Image Edge Detection As A Threshold Segmentation For OCR System Journal of Theoretical & Applied Information Technology, 95(21)
* * [http://www.jatit.org/volumes/Vol95No21/1Vol95No21.pdf](http://www.jatit.org/volumes/Vol95No21/1Vol95No21.pdf)
* GSFT-PSNR: Global Single Fuzzy Threshold Based on PSNR for OCR Systems, International Journal of Computer Science and Network Solutions 4(6)
* * [https://www.ijcsns.com/June.2016-Volume.4-No.6/Article01.pdf](https://www.ijcsns.com/June.2016-Volume.4-No.6/Article01.pdf)
* Adaptive Image Thresholding based On the Peak Signal-To-Noise Ratio, Research Journal of Applied Sciences, Engineering and Technology 8(9).
* * [http://www.academia.edu/download/44161592/Adaptive_Image_Thresholding_Based_on_the20160328-31366-1wyb1jc.pdf](http://www.academia.edu/download/44161592/Adaptive_Image_Thresholding_Based_on_the20160328-31366-1wyb1jc.pdf)
* Simultaneous Localization and Mapping Trends and Humanoid Robot Linkages, Asia-Pacific Journal of Information Technology and Multimedia (APJITM)
* * [http://journalarticle.ukm.my/6644/1/4429-10302-1-SM.pdf](http://journalarticle.ukm.my/6644/1/4429-10302-1-SM.pdf)
* Peak Signal-To-Noise Ratio Based On Threshold Method for Image Segmentation, Journal of Theoretical & Applied Information Technology, 57(2)
* * [http://www.jatit.org/volumes/Vol57No2/4Vol57No2.pdf](http://www.jatit.org/volumes/Vol57No2/4Vol57No2.pdf)
* Character recognition based on global feature extraction; Journal of Theoretical and Applied Information Technology 52
* * [http://www.jatit.org/volumes/Vol52No2/6Vol52No2.pdf](http://www.jatit.org/volumes/Vol52No2/6Vol52No2.pdf)
###
Conference Papers
* Pattern Image Significance for Camera Calibration, IEEE Student Conference on Research and Development (SCOReD 2017)
* [http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8305440&isnumber=8305342](http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8305440&isnumber=8305342)
* Augmented optical flow methods for video stabilization. 4th Artificial Intelligence Technology Postgraduate Seminar (CAITPS 2015)
* [http://www.academia.edu/download/45596617/farshid.pdf](http://www.academia.edu/download/45596617/farshid.pdf)
* Auto-Calibration for Multi-Modal Robot Vision based on Image Quality Assessment, The 10th Asian Control Conference (ASCC 2015)
* [https://doi.org/10.1109/ASCC.2015.7360336](https://doi.org/10.1109/ASCC.2015.7360336)
* 2D versus 3D Map for Environment Movement Objects, Second National Doctoral Seminar in Artificial Intelligence Technology (CAIT 2012)
* [http://www.ftsm.ukm.my/cait2012/images/Program%20Schedule%20CAIT2012.pdf](http://www.ftsm.ukm.my/cait2012/images/Program%20Schedule%20CAIT2012.pdf)
* Comparison Single Thresholding Method for Image Segmentation on Handwritten Images, International Conference on Pattern Analysis and Intelligent Robotics
* [https://doi.org/10.1109/ICPAIR.2011.5976918](https://doi.org/10.1109/ICPAIR.2011.5976918)
* License Plate Recognition with Multi-Threshold Based on Entropy, 3rd International Conference on Electrical Engineering and Informatics (ICEEI 2011)
* [https://doi.org/10.1109/ICEEI.2011.6021627](https://doi.org/10.1109/ICEEI.2011.6021627)
* Character recognition based on global feature extraction, 3rd International Conference On Electrical Engineering and Informatics (ICEEI 2011)
* [https://pdfs.semanticscholar.org/2d22/66bfb2f5ba5cb40b5946b82c620dc713d793.pdf](https://pdfs.semanticscholar.org/2d22/66bfb2f5ba5cb40b5946b82c620dc713d793.pdf)
* [https://doi.org/10.1109/ICEEI.2011.6021649](https://doi.org/10.1109/ICEEI.2011.6021649)
* Tafresh Grid: Grid computing in Tafresh university," 2011 IEEE 3rd International Conference on Communication Software and Networks, Xi'an, 2011, pp. 83-85.
* [http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6014009&isnumber=6013532](http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6014009&isnumber=6013532)
* Adaptive image segmentation based on Peak Signal to Noise Ratio for a license plate Recognition system, International Conference on Computer Applications and Industrial Electronics (ICCAIE 2010)
* [https://doi.org/10.1109/ICCAIE.2010.5735125](https://doi.org/10.1109/ICCAIE.2010.5735125)
* [http://www.academia.edu/download/44161592/Adaptive_Image_Thresholding_Based_on_the20160328-31366-1wyb1jc.pdf](http://www.academia.edu/download/44161592/Adaptive_Image_Thresholding_Based_on_the20160328-31366-1wyb1jc.pdf)
* Multi-threshold approach for license plate recognition system, International Conference on Signal and Image Processing WASET ICSIP 2010:1046-1050
* [http://waset.org/publications/3636](http://waset.org/publications/3636)
* An evaluation of classification techniques using enhanced Geometrical Topological Feature Analysis, 2nd Malaysian Joint Conference on Artificial Intelligence (MJCAI 2010)
* [https://scholar.google.com/scholar?oi=bibs&cluster=3038184255311332521&btnI=1&hl=en](https://scholar.google.com/scholar?oi=bibs&cluster=3038184255311332521&btnI=1&hl=en)
###
Articles on LinkedIn
* [ADRL: Advanced Deep Reinforcement Learning {Patents and papers; Main point summary on recently published research on DRL} (draft version Feb 2019) ]([https://www.linkedin.com/pulse/patents-papers-adrl-advanced-deep-reinforcement-feb-pirahansiah-phd/](https://www.linkedin.com/pulse/patents-papers-adrl-advanced-deep-reinforcement-feb-pirahansiah-phd/))
* [The most important research papers for deep learning (updated December, 2017)]([https://www.linkedin.com/pulse/most-important-research-papers-deep-learning-updated-2017-farshid/](https://www.linkedin.com/pulse/most-important-research-papers-deep-learning-updated-2017-farshid/) )
* [List of useful links (Videos, Slides, Articles) for Deep Learning ]([https://www.linkedin.com/pulse/list-useful-links-videos-slides-articles-deep-farshid-pirahansiah/](https://www.linkedin.com/pulse/list-useful-links-videos-slides-articles-deep-farshid-pirahansiah/))
* [Autonomous driving vehicles (Computer Vision, Deep Learning)]([https://www.linkedin.com/pulse/autonomous-driving-vehicles-computer-vision-deep-farshid-pirahansiah-1/](https://www.linkedin.com/pulse/autonomous-driving-vehicles-computer-vision-deep-farshid-pirahansiah-1/)
* [Thresholding]([https://www.linkedin.com/pulse/thresholding-farshid-pirahansiah/](https://www.linkedin.com/pulse/thresholding-farshid-pirahansiah/)
###
Slides slideshare
* Deep Learning for Computer Vision in Ubuntu 19; Part 1 installation [Link]([https://www.slideshare.net/pirahansiah/deep-learning-for-computer-vision-in-ubuntu-19-part-1-installation](https://www.slideshare.net/pirahansiah/deep-learning-for-computer-vision-in-ubuntu-19-part-1-installation)
* Using Deep Learning for Computer Vision Applications [Link]([https://www.slideshare.net/pirahansiah/using-deep-learning-for-computer-vision-applications](https://www.slideshare.net/pirahansiah/using-deep-learning-for-computer-vision-applications) )
* tensorflow1.3 digits6.0 Caffe [Link]([https://www.slideshare.net/pirahansiah/farshid-tensorflow13-digits60caffe](https://www.slideshare.net/pirahansiah/farshid-tensorflow13-digits60caffe) )
* Install TensorFlow 1.2 on macOS Sierra on MacBook (June 2017) [Link]([https://www.slideshare.net/pirahansiah/install-tensorflow-12-on-macos-sierra-on-macbook-june-2017](https://www.slideshare.net/pirahansiah/install-tensorflow-12-on-macos-sierra-on-macbook-june-2017) )
* Best Deep Learning Post from LinkedIn Group [Link]([https://www.slideshare.net/pirahansiah/best-deep-learning-post-from-linkedin-group](https://www.slideshare.net/pirahansiah/best-deep-learning-post-from-linkedin-group) )
* Install, Compile, Setup, Setting OpenCV 3.2, Visual C++ 2015, Win 64bit [Link]([https://www.slideshare.net/pirahansiah/install-compile-setup-setting-opencv-32-visual-c-2015-win-64bit](https://www.slideshare.net/pirahansiah/install-compile-setup-setting-opencv-32-visual-c-2015-win-64bit) )
* Layers in Deep Learning&Caffe layers (model architecture ) [Link]([https://www.slideshare.net/pirahansiah/layers-in-deep-learningcaffe-layers-model-architecture](https://www.slideshare.net/pirahansiah/layers-in-deep-learningcaffe-layers-model-architecture) )
* How to install Digits 5.1 on Ubuntu 14 [Link]([https://www.slideshare.net/pirahansiah/how-to-install-digits-51-on-ubuntu-14](https://www.slideshare.net/pirahansiah/how-to-install-digits-51-on-ubuntu-14) )
* Deep Learning for Video Analysis – part 1 (DeepStream SDK) [NVIDIA TensorRT || NVIDIA GPU Inference Engine (GIE)] [Link]([https://www.slideshare.net/pirahansiah/deep-learning-for-video-analysis-part-1-deepstream-sdk-nvidia-tensorrt-nvidia-gpu-inference-engine-gie](https://www.slideshare.net/pirahansiah/deep-learning-for-video-analysis-part-1-deepstream-sdk-nvidia-tensorrt-nvidia-gpu-inference-engine-gie) )
* Computer Vision, Deep Learning, OpenCV [Link]([https://www.slideshare.net/pirahansiah/computer-vision-deep-learning-opencv](https://www.slideshare.net/pirahansiah/computer-vision-deep-learning-opencv) )
###
Online Courses
* [Writing with Impact ](https://www.linkedin.com/learning/writing-with-impact)
* [Balancing Work and Life ](https://www.linkedin.com/learning/balancing-work-and-life)
* [Finance Foundations: Income Taxes ](https://www.linkedin.com/learning/finance-foundations-income-taxes-2)
* [Starting a Business with Family and Friends ](https://www.linkedin.com/learning/starting-a-business-with-family-and-friends)
* [Finance Essentials for Small Business ](https://www.linkedin.com/learning/finance-essentials-for-small-business)
* [Setting Up Your Small Business as a Legal Entity ](https://www.linkedin.com/learning/setting-up-your-small-business-as-a-legal-entity)
* [Creating a Business Plan ](https://www.linkedin.com/learning/creating-a-business-plan-2)
* [Understanding Business ](https://www.linkedin.com/learning/understanding-business)
* [Entrepreneurship: Finding and Testing Your Business Idea ](https://www.linkedin.com/learning/entrepreneurship-finding-and-testing-your-business-idea)
* [Guy Kawasaki on Entrepreneurship ](https://www.linkedin.com/learning/guy-kawasaki-on-entrepreneurship)
* [Financial Modeling Foundations ](https://www.linkedin.com/learning/financial-modeling-foundations)
* [Financial Accounting Foundations ](https://www.linkedin.com/learning/financial-accounting-foundations)
* [Strategic Planning Foundations ](https://www.linkedin.com/learning/strategic-planning-foundations)
* [5 Personal Finance Tips ](https://www.linkedin.com/learning/5-personal-finance-tips)
* [Investment Evaluation ](https://www.linkedin.com/learning/investment-evaluation)
* [Managing Your Personal Investments ](https://www.linkedin.com/learning/managing-your-personal-investments)
* [Financial Wellness: Managing Personal Cash Flow ](https://www.linkedin.com/learning/financial-wellness-managing-personal-cash-flow)
* [Financial Wellness for Couples and Families ](https://www.linkedin.com/learning/financial-wellness-for-couples-and-families)
* [Managing Your Personal Finances ](https://www.linkedin.com/learning/managing-your-personal-finances)
* [Finance Foundations ](https://www.linkedin.com/learning/finance-foundations-2)
* [Entrepreneurship Foundations ](https://www.linkedin.com/learning/entrepreneurship-foundations-2)
* [Introduction to Deep Learning with OpenCV ](https://www.linkedin.com/learning/introduction-to-deep-learning-with-opencv)
* [OpenCV for Python Developers ](https://www.linkedin.com/learning/opencv-for-python-developers)
* [Brad Feld on Validating Your Startup Idea ](https://www.linkedin.com/learning/brad-feld-on-validating-your-startup-idea)
* [Brad Feld on Raising Capital ](https://www.linkedin.com/learning/brad-feld-on-raising-capital)
* [Take a More Creative Approach to Problem-Solving ](https://www.linkedin.com/learning/take-a-more-creative-approach-to-problem-solving)
* [Professional Networking ](https://www.linkedin.com/learning/professional-networking)
* [Building Relationships While Working from Home ](https://www.linkedin.com/learning/building-relationships-while-working-from-home)
* [Entrepreneurship: Raising Startup Capital ](https://www.linkedin.com/learning/entrepreneurship-raising-startup-capital)
* [Business Analysis Foundations: Business Process Modeling ](https://www.linkedin.com/learning/business-analysis-foundations-business-process-modeling)
* [Communicating with Confidence ](https://www.linkedin.com/learning/communicating-with-confidence)
* [Machine Learning for iOS Developers ](https://www.linkedin.com/learning/machine-learning-for-ios-developers)
###
Learning path
* [Stay Ahead in Personal Finance ](https://www.linkedin.com/learning/paths/stay-ahead-in-personal-finance)
* [Become a Small Business Owner ](https://www.linkedin.com/learning/paths/become-a-small-business-owner)
#
Completed
###
Reference
[https://drive.google.com/file/d/1xd5TZlEZnUUieXzw3Lxn3Sv7MwIajU_W/view?usp=sharing](https://drive.google.com/file/d/1xd5TZlEZnUUieXzw3Lxn3Sv7MwIajU_W/view?usp=sharing)
###
Link of best Groups
* [LinkedIn: Computer Vision, Deep Learning, Deep Reinforcement Learning, GANs, OpenCV, Caffe, TensorFlow,PyTorch](https://www.linkedin.com/groups/10320678/)
* [Source code](https://gitlab.com/pirahansiah)
* [Facebook : Deep Learning, Computer Vision, Robotics ](https://web.facebook.com/groups/185926728115336/)
* [The link to one-note notebook ](https://1drv.ms/u/s!AhG15hrdT9JOgR5GZgPjve65F-e5)
* [GitHub](https://github.com/pirahansiah)
###
Books
* [The Art of Startup Fundraising](https://www.amazon.de/-/en/Alejandro-Cremades-ebook/dp/B01DQ3GY3Y)
* [Mathematics for Machine Learning](https://mml-book.github.io/)
* Principles of Economics (6th edition)
* The E-Myth Revisited Why Most Small Businesses Don't Work and What to Do About It
* Clean Code: A Handbook of Agile Software Craftsmanship (Robert C. Martin)
* Reinventing Your Life: The Breakthough Program to End Negative Behavior
* Ways Of Thinking: The Limits Of Rational Thought And Artificial Intelligence
* [https://images.kw.com/docs/2/1/2/212345/1285134779158_htwfaip.pdf](https://images.kw.com/docs/2/1/2/212345/1285134779158_htwfaip.pdf)
* * [Computer Vision: Algorithms and Applications](http://szeliski.org/Book/)
* [Multiple View Geometry in Computer Vision Second Edition](https://www.robots.ox.ac.uk/~vgg/hzbook/)
* [Complete to download the latest draft of Machine Learning Yearning](https://www.deeplearning.ai/machine-learning-yearning/)
* Multiple view geometry in computer vision
* Learning OpenCV Book by Adrian Kaehler and Gary Bradski
* Digital Image Processing, Global Edition by Rafael C. Gonzalez
* Introduction to Algorithms, 3rd Edition (The MIT Press)
* The Mythical Man-Month: Essays on Software Engineering
* [OpenCV-4-with-Python-Blueprints-Second-Edition](https://github.com/PacktPublishing/OpenCV-4-with-Python-Blueprints-Second-Edition)
###
Videos
* [https://www.youtube.com/computervisiondeeplearning](https://www.youtube.com/computervisiondeeplearning)
* [Two Minute Papers](https://www.youtube.com/c/K%C3%A1rolyZsolnai/videos)
* [Conference on Pattern Recognition](https://www.gcpr-vmv-vcbm-2020.uni-tuebingen.de/)
* [https://researchseminars.org/?fbclid=IwAR0Ly9WLONBMBteYI7IhlRaMYR_rQR6YrpdxLG_sUxPxGYKQhB0SOTmcjgY](https://researchseminars.org/?fbclid=IwAR0Ly9WLONBMBteYI7IhlRaMYR_rQR6YrpdxLG_sUxPxGYKQhB0SOTmcjgY)
###
Papers
* CALTag: High Precision Fiducial Markers for Camera
* Diatom Autofocusing in Brightfield Microscopy: a Comparative Study
* Analysis of focus measure operators in shape-from-focus
* Optical flow modeling and computation: A survey
* Toward general type 2 fuzzy logic systems based on zSlices
###
Site
* [Research Tools By: Nader Ale Ebrahim](https://www.mindmeister.com/39583892/research-tools-by-nader-ale-ebrahim?t=HMmnzlA4zN) ([MindMap](https://www.mindmeister.com/39583892/research-tools-by-nader-ale-ebrahim?fullscreen=1#))
Reference-
ComputerVisionDeepLearning.pdf
* [https://virgool.io/@r_alimorady/easy-install-cuda-document-hhk6nuylvl1w](https://virgool.io/@r_alimorady/easy-install-cuda-document-hhk6nuylvl1w)
* [https://techcommunity.microsoft.com/t5/azure-ai/introducing-multivariate-anomaly-detection/ba-p/2260679](https://techcommunity.microsoft.com/t5/azure-ai/introducing-multivariate-anomaly-detection/ba-p/2260679)
* [https://www.freertos.org/index.html](https://www.freertos.org/index.html)
* [https://en.wikipedia.org/wiki/Knowledge_distillation](https://en.wikipedia.org/wiki/Knowledge_distillation)
* [https://80000hours.org/2015/10/startup-salaries-and-equity-compensation/](https://80000hours.org/2015/10/startup-salaries-and-equity-compensation/)
* [https://www.thecvf.com/?page_id=413](https://www.thecvf.com/?page_id=413)
* [https://levelup.gitconnected.com/s-o-l-i-d-principles-explained-in-python-with-examples-83b2b43bdcde?gi=a1fee170c917](https://levelup.gitconnected.com/s-o-l-i-d-principles-explained-in-python-with-examples-83b2b43bdcde?gi=a1fee170c917)
* [https://arxiv.org/pdf/2104.13921.pdf](https://arxiv.org/pdf/2104.13921.pdf)
* [https://blog.paperspace.com/object-detection-directed-mask-r-cnn-keras/](https://blog.paperspace.com/object-detection-directed-mask-r-cnn-keras/)
* [https://pub.towardsai.net/will-transformers-replace-cnns-in-computer-vision-55657a196833](https://pub.towardsai.net/will-transformers-replace-cnns-in-computer-vision-55657a196833)
* [https://medium.com/@daviddelaiglesiacastro/3d-point-cloud-generation-from-3d-triangular-mesh-bbb602ecf238](https://medium.com/@daviddelaiglesiacastro/3d-point-cloud-generation-from-3d-triangular-mesh-bbb602ecf238)
*
[https://koinly.io/](https://koinly.io/)
site map: octopus.do
[https://www.startupgermany.nrw/startup-
contest/](https://www.startupgermany.nrw/startup-contest/)
[https://www.kickstarter.com/projects/opencv/opencv-ai-kit-oak-depth-
camera-4k-cv-edge-object-
detection/description](https://www.kickstarter.com/projects/opencv/opencv-ai-
kit-oak-depth-camera-4k-cv-edge-object-detection/description)
[HOW I GAINED 68,000 SUBSCRIBERS IN A YEAR! | My Strategy to Grow on YouTube
in 2021! - YouTube
](https://www.youtube.com/watch?v=bwd1dQr33K8&list=PLxC08P2Oexy2EJKezV02N9cp3-qOEh79Z)
[https://www.youtube.com/watch?v=bwd1dQr33K8&list=PLxC08P2Oexy2EJKezV02N9cp3-qOEh79Z](https://www.youtube.com/watch?v=bwd1dQr33K8&list=PLxC08P2Oexy2EJKezV02N9cp3-qOEh79Z)
[https://www.youtube.com/watch?v=cFdApmqlllg](https://www.youtube.com/watch?v=cFdApmqlllg)
[محمد رضا شجریان، آلبوم کامل در خیال -
YouTube](https://www.youtube.com/watch?v=cFdApmqlllg)
[دوره جامع گوگل آنالیتیکس(UA) |
آنالیتیپس](https://analytips.io/product/google-analyticsua/)
[رادیوگیک - شماره ۱۲۱ - ما این لارادیوگیک - شماره ۱۲۱ - ما این لا -
YouTube](https://www.youtube.com/watch?v=dzBLhio-DIc)
[Social Selling Index | Sales
Navigator](https://www.linkedin.com/sales/ssi?src=or-
search&veh=www.google.com)
[https://rschu.me/list-a-directory-with-tree-command-on-mac-
os-x-3b2d4c4a4827](https://rschu.me/list-a-directory-with-tree-command-on-mac-
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# Links
pirahansiah, Personal, Roadmap, Books, Online Courses
[](https://drive.google.com/open?id=1ELXvmqcSciCK8-TUVsyVRnYTuxnKta-_xze-
oXQexwY "Open Spreadsheet, Links in new window")
Links
Links from my research and interest
AI in RISC-V
Mixed reality
Old Links
Reference
Link Groups
Top website
Python
Computer Vision
Documents
Business
Tools
Patents
Books
Journal Papers
Conference Papers
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Reference
Link of best Groups
Books
Videos
Papers
Site
Efficient Video Dataset Loading and Augmentation in PyTorch for deep learning
training loops.
GitHub[ https://lnkd.in/gpR8idsp](https://lnkd.in/gpR8idsp)
[https://remmina.org/how-to-install-remmina/](https://remmina.org/how-to-
install-remmina/)
[https://readme.so/](https://readme.so/)
#
Links from my research and interest
[Build Better Generative Adversarial Networks (GANs) - Andrew Ng -
2021](https://www.youtube.com/playlist?list=PLuv1FSpHurUfl44GWqaCzEhGP-aP_-
VnF)
[https://www.oreilly.com/library/view/flow-
architectures/9781492075882/](https://www.oreilly.com/library/view/flow-
architectures/9781492075882/)
##
AI in RISC-V
* [RISC-V hardware & software ecosystem highlights in 2020](https://www.cnx-software.com/2020/12/10/risc-v-hardware-software-ecosystem-highlights-in-2020)
##
Mixed reality
* [https://github.com/MIT-SPARK/Kimera](https://github.com/MIT-SPARK/Kimera)
* Kimera is a C++ library for real-time metric-semantic simultaneous localization and mapping, which uses camera images and inertial data to build a semantically annotated 3D mesh of the environment. Kimera is modular, ROS-enabled, and runs on a CPU.
#
Old Links
###
Reference
[https://drive.google.com/file/d/1xd5TZlEZnUUieXzw3Lxn3Sv7MwIajU_W/view?usp=sharing](https://drive.google.com/file/d/1xd5TZlEZnUUieXzw3Lxn3Sv7MwIajU_W/view?usp=sharing)
###
Link Groups
* [LinkedIn: Computer Vision, Deep Learning, Deep Reinforcement Learning, GANs, OpenCV, Caffe, TensorFlow,PyTorch](https://www.linkedin.com/groups/10320678/)
* [Source code](https://gitlab.com/pirahansiah)
* [Facebook : Deep Learning, Computer Vision, Robotics ](https://web.facebook.com/groups/185926728115336/)
* [The link to one-note notebook ](https://1drv.ms/u/s!AhG15hrdT9JOgR5GZgPjve65F-e5)
* [GitHub](https://github.com/pirahansiah)
###
Top website
* [https://paperswithcode.com/](https://paperswithcode.com/)
* [https://www.learnthepart.com/](https://www.learnthepart.com/)
* [https://hackaday.com/](https://hackaday.com/)
* [https://medium.com/@pirahansiah/timesaver-626019137fa9?sk=cde3334919d6c16ba0964fe021a24762](https://medium.com/@pirahansiah/timesaver-626019137fa9?sk=cde3334919d6c16ba0964fe021a24762)
* hbrew install youtube-dl
* [https://www.masterclass.com/](https://www.masterclass.com/)
* [Deep Learning for coders (2020)](https://www.youtube.com/user/howardjeremyp)
* [Deep Learning for Video](https://mcv-m6-video.github.io/deepvideo-2019/) (Master in Computer Vision Barcelona)
* [Augmented Reality using ArUco Markers in OpenCV (C++ / Python)](https://www.learnopencv.com/augmented-reality-using-aruco-markers-in-opencv-c-python/)
* [https://explainshell.com/](https://explainshell.com/)
* [https://stackoverflow.blog/2020/02/12/when-laziness-is-efficient-make-the-most-of-your-command-line/](https://stackoverflow.blog/2020/02/12/when-laziness-is-efficient-make-the-most-of-your-command-line/?utm_source=Iterable&utm_medium=email&utm_campaign=the_overflow_newsletter&utm_content=02-19-20)
* [https://link.medium.com/XA49Ke0Jt4](https://link.medium.com/XA49Ke0Jt4)
* [https://link.medium.com/Np0YEy1Jt4](https://link.medium.com/Np0YEy1Jt4)
###
Python
* [How to Write Beautiful Python Code With PEP 8](https://realpython.com/python-pep8/)
* [PEP 622 -- Structural Pattern Matching](https://www.python.org/dev/peps/pep-0622/)
* [Monitor Your Dependencies! Stop Being A Blind Data-Scientist.](https://towardsdatascience.com/monitor-your-dependencies-stop-being-a-blind-data-scientist-a3150bd64594)
###
Computer Vision
* [Hybrid CV/DL pipelines with OpenCV 4.4 G-API](https://opencv.org/hybrid-cv-dl-pipelines-with-opencv-4-4-g-api/)
* [PaddleDetection is an end-to-end object detection development kit based on PaddlePaddle, which aims to help developers in the whole development of training models, optimizing performance and inference speed, and deploying models. ](https://github.com/PaddlePaddle/PaddleDetection/blob/release/0.4/README_en.md)
* [https://github.com/google/mediapipe](https://github.com/google/mediapipe)
###
Documents
* [https://book.keybase.io/docs](https://book.keybase.io/docs)
* [kind is a tool for running local Kubernetes clusters using Docker container "nodes".](https://github.com/kubernetes-sigs/kind)
* [FINN is an experimental framework from Xilinx Research Labs to explore deep neural network inference on FPGAs. ](https://xilinx.github.io/finn/)
* [Gitter is a chat and networking platform that helps to manage, grow and connect communities through messaging, content and discovery.](https://gitter.im/)
* [Fair and useful benchmarks for measuring training and inference performance of ML hardware, software, and services.](https://mlperf.org/)
* [https://kepler.gl/demo](https://kepler.gl/demo)
* [Open source, highly available Prometheus setup with long term storage capabilities.](https://thanos.io/)
* [Deep Learning Design Patterns - Jr Data Scientist - Part 3 - Alternative Connectivity Patterns](https://www.youtube.com/watch?v=JI-MButCqUE)
###
Business
* [5 Ways to Make More Money as a Coach or Consultant](https://www.entrepreneur.com/article/283006)
* [https://www.youtube.com/watch?v=njx09wXb9o0&list=PLnhdsL4kFmVYMNq6F8k8UiFkc6fwIdk3o&index=5](https://www.youtube.com/watch?v=njx09wXb9o0&list=PLnhdsL4kFmVYMNq6F8k8UiFkc6fwIdk3o&index=5)
###
Tools
* Free convert video for mac opensource
* [https://github.com/HandBrake/HandBrake](https://github.com/HandBrake/HandBrake)
* [https://handbrake.fr/rotation.php?file=HandBrake-1.3.3.dmg](https://handbrake.fr/rotation.php?file=HandBrake-1.3.3.dmg)
* [global-gitignore.md](https://gist.github.com/subfuzion/db7f57fff2fb6998a16c)
* [https://nextbillion.ai/](https://nextbillion.ai/) Mapping platform built for enterprises
* [https://github.com/ondras/my-mind](https://github.com/ondras/my-mind) MindMap
* [Create and share beautiful images of your source code.](https://carbon.now.sh/)
* [Web IDE](https://replit.com/templates)
* [https://github.com/jely2002/youtube-dl-gui/releases/tag/v2.2.2](https://github.com/jely2002/youtube-dl-gui/releases/tag/v2.2.2)
###
Patents
[https://patents.google.com/?inventor=pirahansiah&oq=pirahansiah](https://patents.google.com/?inventor=pirahansiah&oq=pirahansiah)
1. System and method for providing advertisement contents based on facial analysis (WO2020141969A2)
2. A method for augmenting a plurality of face images (WO2021060971A1)
3. A method for detecting a moving vehicle (WO2021107761A1)
1. System and method for providing advertisement contents based on facial analysis (WO2020141969A2)
The present invention relates to a system (100) for providing advertisement
contents based on facial analysis comprising an image acquisition device (10)
to acquire an image of a user, a face detection module (20) to detect face of
the user in the image, an analysis module (40) to analyse the facial features
statistically using classification models retrieved from a classification
module (30), a database (60) to store matching rules, weighted advertisements
and a plurality of advertisement contents; and a display device (80) to
display the advertisement contents. The system (100) further comprises a
computation module (50) to compute weighted image of the user and a matching
module (70) to match the weighted image of the user with the weighted
advertisement to select an advertisement content based on facial analysis of
the user. A method of providing the advertisement contents based on facial
analysis is also provided thereof.
[https://patentimages.storage.googleapis.com/ff/3f/a5/e7b42ef58d8a03/WO2020141969A2.pdf](https://patentimages.storage.googleapis.com/ff/3f/a5/e7b42ef58d8a03/WO2020141969A2.pdf)
2. A method for augmenting a plurality of face images (WO2021060971A1)
The present invention relates to a method for increasing data for face
analysis in video surveillance. The method comprises the steps of acquiring at
least one face image from an image acquisition module (102), acquiring a
plurality of face images available on the internet using a data input module
(104), increasing face images by at least one data augmentation module (106
and 107), generating a plurality of face images based on a trained Generative
Adversarial Network, GAN technique by using a GAN module, selecting proper
images based on quality of the face images using a fuzzy logic module (111),
saving the selected images into a fifth database, and training the deep
learning module (113).
[https://patentimages.storage.googleapis.com/b8/d9/7f/ea8a5b789e1dad/WO2021060971A1.pdf](https://patentimages.storage.googleapis.com/b8/d9/7f/ea8a5b789e1dad/WO2021060971A1.pdf)
3. A method for detecting a moving vehicle (WO2021107761A1)
The present invention relates to a method for detecting a moving vehicle. The
method comprises the steps of grabbing an initial image from a video stream by
a vehicle detection module (1100), wherein the vehicle detection module (1100)
is a part of a system (1000) to identify moving vehicle, enhancing the
illumination of the initial image by the vehicle detection module (1100),
enhancing the edges within the initial image by the vehicle detection module
(1100), and finding vehicle based on homogenous properties of the body of the
vehicle by the vehicle detection module (1100). The step of finding vehicle
based on homogenous property of the body of the vehicle by the vehicle
detection module (1100) further comprising the sub-steps of closing open
edges, inverting the binary image, segmenting an inverted binary image,
filtering the noise based on geometric feature, and filtering the noise based
on relation.
[https://patentimages.storage.googleapis.com/16/41/83/2576e20c4a0af5/WO2021107761A1.pdf](https://patentimages.storage.googleapis.com/16/41/83/2576e20c4a0af5/WO2021107761A1.pdf)
###
Books
1. [book chapter titled “Camera Calibration and Video Stabilization Framework for Robot Localization” in the Book entitled “Control Engineering in Robotics and Industrial Automation" which will be published (24/07/2021) in Springer. ](https://www.waterstones.com/book/control-engineering-in-robotics-and-industrial-automation/muralindran-mariappan/mohd-rizal-arshad/9783030745394)
2. [book chapter titled “Augmented Optical Flow Methods for Video Stabilization", In Computational Intelligence: from theory to application. (2017) (p18). ](http://www.ukm.my/penerbit/penerbitan-2017/)
###
Journal Papers
* Using An Ant Colony Optimization Algorithm For Image Edge Detection As A Threshold Segmentation For OCR System Journal of Theoretical & Applied Information Technology, 95(21)
* * [http://www.jatit.org/volumes/Vol95No21/1Vol95No21.pdf](http://www.jatit.org/volumes/Vol95No21/1Vol95No21.pdf)
* GSFT-PSNR: Global Single Fuzzy Threshold Based on PSNR for OCR Systems, International Journal of Computer Science and Network Solutions 4(6)
* * [https://www.ijcsns.com/June.2016-Volume.4-No.6/Article01.pdf](https://www.ijcsns.com/June.2016-Volume.4-No.6/Article01.pdf)
* Adaptive Image Thresholding based On the Peak Signal-To-Noise Ratio, Research Journal of Applied Sciences, Engineering and Technology 8(9).
* * [http://www.academia.edu/download/44161592/Adaptive_Image_Thresholding_Based_on_the20160328-31366-1wyb1jc.pdf](http://www.academia.edu/download/44161592/Adaptive_Image_Thresholding_Based_on_the20160328-31366-1wyb1jc.pdf)
* Simultaneous Localization and Mapping Trends and Humanoid Robot Linkages, Asia-Pacific Journal of Information Technology and Multimedia (APJITM)
* * [http://journalarticle.ukm.my/6644/1/4429-10302-1-SM.pdf](http://journalarticle.ukm.my/6644/1/4429-10302-1-SM.pdf)
* Peak Signal-To-Noise Ratio Based On Threshold Method for Image Segmentation, Journal of Theoretical & Applied Information Technology, 57(2)
* * [http://www.jatit.org/volumes/Vol57No2/4Vol57No2.pdf](http://www.jatit.org/volumes/Vol57No2/4Vol57No2.pdf)
* Character recognition based on global feature extraction; Journal of Theoretical and Applied Information Technology 52
* * [http://www.jatit.org/volumes/Vol52No2/6Vol52No2.pdf](http://www.jatit.org/volumes/Vol52No2/6Vol52No2.pdf)
###
Conference Papers
* Pattern Image Significance for Camera Calibration, IEEE Student Conference on Research and Development (SCOReD 2017)
* [http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8305440&isnumber=8305342](http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8305440&isnumber=8305342)
* Augmented optical flow methods for video stabilization. 4th Artificial Intelligence Technology Postgraduate Seminar (CAITPS 2015)
* [http://www.academia.edu/download/45596617/farshid.pdf](http://www.academia.edu/download/45596617/farshid.pdf)
* Auto-Calibration for Multi-Modal Robot Vision based on Image Quality Assessment, The 10th Asian Control Conference (ASCC 2015)
* [https://doi.org/10.1109/ASCC.2015.7360336](https://doi.org/10.1109/ASCC.2015.7360336)
* 2D versus 3D Map for Environment Movement Objects, Second National Doctoral Seminar in Artificial Intelligence Technology (CAIT 2012)
* [http://www.ftsm.ukm.my/cait2012/images/Program%20Schedule%20CAIT2012.pdf](http://www.ftsm.ukm.my/cait2012/images/Program%20Schedule%20CAIT2012.pdf)
* Comparison Single Thresholding Method for Image Segmentation on Handwritten Images, International Conference on Pattern Analysis and Intelligent Robotics
* [https://doi.org/10.1109/ICPAIR.2011.5976918](https://doi.org/10.1109/ICPAIR.2011.5976918)
* License Plate Recognition with Multi-Threshold Based on Entropy, 3rd International Conference on Electrical Engineering and Informatics (ICEEI 2011)
* [https://doi.org/10.1109/ICEEI.2011.6021627](https://doi.org/10.1109/ICEEI.2011.6021627)
* Character recognition based on global feature extraction, 3rd International Conference On Electrical Engineering and Informatics (ICEEI 2011)
* [https://pdfs.semanticscholar.org/2d22/66bfb2f5ba5cb40b5946b82c620dc713d793.pdf](https://pdfs.semanticscholar.org/2d22/66bfb2f5ba5cb40b5946b82c620dc713d793.pdf)
* [https://doi.org/10.1109/ICEEI.2011.6021649](https://doi.org/10.1109/ICEEI.2011.6021649)
* Tafresh Grid: Grid computing in Tafresh university," 2011 IEEE 3rd International Conference on Communication Software and Networks, Xi'an, 2011, pp. 83-85.
* [http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6014009&isnumber=6013532](http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6014009&isnumber=6013532)
* Adaptive image segmentation based on Peak Signal to Noise Ratio for a license plate Recognition system, International Conference on Computer Applications and Industrial Electronics (ICCAIE 2010)
* [https://doi.org/10.1109/ICCAIE.2010.5735125](https://doi.org/10.1109/ICCAIE.2010.5735125)
* [http://www.academia.edu/download/44161592/Adaptive_Image_Thresholding_Based_on_the20160328-31366-1wyb1jc.pdf](http://www.academia.edu/download/44161592/Adaptive_Image_Thresholding_Based_on_the20160328-31366-1wyb1jc.pdf)
* Multi-threshold approach for license plate recognition system, International Conference on Signal and Image Processing WASET ICSIP 2010:1046-1050
* [http://waset.org/publications/3636](http://waset.org/publications/3636)
* An evaluation of classification techniques using enhanced Geometrical Topological Feature Analysis, 2nd Malaysian Joint Conference on Artificial Intelligence (MJCAI 2010)
* [https://scholar.google.com/scholar?oi=bibs&cluster=3038184255311332521&btnI=1&hl=en](https://scholar.google.com/scholar?oi=bibs&cluster=3038184255311332521&btnI=1&hl=en)
###
Articles on LinkedIn
* [ADRL: Advanced Deep Reinforcement Learning {Patents and papers; Main point summary on recently published research on DRL} (draft version Feb 2019) ]([https://www.linkedin.com/pulse/patents-papers-adrl-advanced-deep-reinforcement-feb-pirahansiah-phd/](https://www.linkedin.com/pulse/patents-papers-adrl-advanced-deep-reinforcement-feb-pirahansiah-phd/))
* [The most important research papers for deep learning (updated December, 2017)]([https://www.linkedin.com/pulse/most-important-research-papers-deep-learning-updated-2017-farshid/](https://www.linkedin.com/pulse/most-important-research-papers-deep-learning-updated-2017-farshid/) )
* [List of useful links (Videos, Slides, Articles) for Deep Learning ]([https://www.linkedin.com/pulse/list-useful-links-videos-slides-articles-deep-farshid-pirahansiah/](https://www.linkedin.com/pulse/list-useful-links-videos-slides-articles-deep-farshid-pirahansiah/))
* [Autonomous driving vehicles (Computer Vision, Deep Learning)]([https://www.linkedin.com/pulse/autonomous-driving-vehicles-computer-vision-deep-farshid-pirahansiah-1/](https://www.linkedin.com/pulse/autonomous-driving-vehicles-computer-vision-deep-farshid-pirahansiah-1/)
* [Thresholding]([https://www.linkedin.com/pulse/thresholding-farshid-pirahansiah/](https://www.linkedin.com/pulse/thresholding-farshid-pirahansiah/)
###
Slides slideshare
* Deep Learning for Computer Vision in Ubuntu 19; Part 1 installation [Link]([https://www.slideshare.net/pirahansiah/deep-learning-for-computer-vision-in-ubuntu-19-part-1-installation](https://www.slideshare.net/pirahansiah/deep-learning-for-computer-vision-in-ubuntu-19-part-1-installation)
* Using Deep Learning for Computer Vision Applications [Link]([https://www.slideshare.net/pirahansiah/using-deep-learning-for-computer-vision-applications](https://www.slideshare.net/pirahansiah/using-deep-learning-for-computer-vision-applications) )
* tensorflow1.3 digits6.0 Caffe [Link]([https://www.slideshare.net/pirahansiah/farshid-tensorflow13-digits60caffe](https://www.slideshare.net/pirahansiah/farshid-tensorflow13-digits60caffe) )
* Install TensorFlow 1.2 on macOS Sierra on MacBook (June 2017) [Link]([https://www.slideshare.net/pirahansiah/install-tensorflow-12-on-macos-sierra-on-macbook-june-2017](https://www.slideshare.net/pirahansiah/install-tensorflow-12-on-macos-sierra-on-macbook-june-2017) )
* Best Deep Learning Post from LinkedIn Group [Link]([https://www.slideshare.net/pirahansiah/best-deep-learning-post-from-linkedin-group](https://www.slideshare.net/pirahansiah/best-deep-learning-post-from-linkedin-group) )
* Install, Compile, Setup, Setting OpenCV 3.2, Visual C++ 2015, Win 64bit [Link]([https://www.slideshare.net/pirahansiah/install-compile-setup-setting-opencv-32-visual-c-2015-win-64bit](https://www.slideshare.net/pirahansiah/install-compile-setup-setting-opencv-32-visual-c-2015-win-64bit) )
* Layers in Deep Learning&Caffe layers (model architecture ) [Link]([https://www.slideshare.net/pirahansiah/layers-in-deep-learningcaffe-layers-model-architecture](https://www.slideshare.net/pirahansiah/layers-in-deep-learningcaffe-layers-model-architecture) )
* How to install Digits 5.1 on Ubuntu 14 [Link]([https://www.slideshare.net/pirahansiah/how-to-install-digits-51-on-ubuntu-14](https://www.slideshare.net/pirahansiah/how-to-install-digits-51-on-ubuntu-14) )
* Deep Learning for Video Analysis – part 1 (DeepStream SDK) [NVIDIA TensorRT || NVIDIA GPU Inference Engine (GIE)] [Link]([https://www.slideshare.net/pirahansiah/deep-learning-for-video-analysis-part-1-deepstream-sdk-nvidia-tensorrt-nvidia-gpu-inference-engine-gie](https://www.slideshare.net/pirahansiah/deep-learning-for-video-analysis-part-1-deepstream-sdk-nvidia-tensorrt-nvidia-gpu-inference-engine-gie) )
* Computer Vision, Deep Learning, OpenCV [Link]([https://www.slideshare.net/pirahansiah/computer-vision-deep-learning-opencv](https://www.slideshare.net/pirahansiah/computer-vision-deep-learning-opencv) )
###
Online Courses
* [Writing with Impact ](https://www.linkedin.com/learning/writing-with-impact)
* [Balancing Work and Life ](https://www.linkedin.com/learning/balancing-work-and-life)
* [Finance Foundations: Income Taxes ](https://www.linkedin.com/learning/finance-foundations-income-taxes-2)
* [Starting a Business with Family and Friends ](https://www.linkedin.com/learning/starting-a-business-with-family-and-friends)
* [Finance Essentials for Small Business ](https://www.linkedin.com/learning/finance-essentials-for-small-business)
* [Setting Up Your Small Business as a Legal Entity ](https://www.linkedin.com/learning/setting-up-your-small-business-as-a-legal-entity)
* [Creating a Business Plan ](https://www.linkedin.com/learning/creating-a-business-plan-2)
* [Understanding Business ](https://www.linkedin.com/learning/understanding-business)
* [Entrepreneurship: Finding and Testing Your Business Idea ](https://www.linkedin.com/learning/entrepreneurship-finding-and-testing-your-business-idea)
* [Guy Kawasaki on Entrepreneurship ](https://www.linkedin.com/learning/guy-kawasaki-on-entrepreneurship)
* [Financial Modeling Foundations ](https://www.linkedin.com/learning/financial-modeling-foundations)
* [Financial Accounting Foundations ](https://www.linkedin.com/learning/financial-accounting-foundations)
* [Strategic Planning Foundations ](https://www.linkedin.com/learning/strategic-planning-foundations)
* [5 Personal Finance Tips ](https://www.linkedin.com/learning/5-personal-finance-tips)
* [Investment Evaluation ](https://www.linkedin.com/learning/investment-evaluation)
* [Managing Your Personal Investments ](https://www.linkedin.com/learning/managing-your-personal-investments)
* [Financial Wellness: Managing Personal Cash Flow ](https://www.linkedin.com/learning/financial-wellness-managing-personal-cash-flow)
* [Financial Wellness for Couples and Families ](https://www.linkedin.com/learning/financial-wellness-for-couples-and-families)
* [Managing Your Personal Finances ](https://www.linkedin.com/learning/managing-your-personal-finances)
* [Finance Foundations ](https://www.linkedin.com/learning/finance-foundations-2)
* [Entrepreneurship Foundations ](https://www.linkedin.com/learning/entrepreneurship-foundations-2)
* [Introduction to Deep Learning with OpenCV ](https://www.linkedin.com/learning/introduction-to-deep-learning-with-opencv)
* [OpenCV for Python Developers ](https://www.linkedin.com/learning/opencv-for-python-developers)
* [Brad Feld on Validating Your Startup Idea ](https://www.linkedin.com/learning/brad-feld-on-validating-your-startup-idea)
* [Brad Feld on Raising Capital ](https://www.linkedin.com/learning/brad-feld-on-raising-capital)
* [Take a More Creative Approach to Problem-Solving ](https://www.linkedin.com/learning/take-a-more-creative-approach-to-problem-solving)
* [Professional Networking ](https://www.linkedin.com/learning/professional-networking)
* [Building Relationships While Working from Home ](https://www.linkedin.com/learning/building-relationships-while-working-from-home)
* [Entrepreneurship: Raising Startup Capital ](https://www.linkedin.com/learning/entrepreneurship-raising-startup-capital)
* [Business Analysis Foundations: Business Process Modeling ](https://www.linkedin.com/learning/business-analysis-foundations-business-process-modeling)
* [Communicating with Confidence ](https://www.linkedin.com/learning/communicating-with-confidence)
* [Machine Learning for iOS Developers ](https://www.linkedin.com/learning/machine-learning-for-ios-developers)
###
Learning path
* [Stay Ahead in Personal Finance ](https://www.linkedin.com/learning/paths/stay-ahead-in-personal-finance)
* [Become a Small Business Owner ](https://www.linkedin.com/learning/paths/become-a-small-business-owner)
#
Completed
###
Reference
[https://drive.google.com/file/d/1xd5TZlEZnUUieXzw3Lxn3Sv7MwIajU_W/view?usp=sharing](https://drive.google.com/file/d/1xd5TZlEZnUUieXzw3Lxn3Sv7MwIajU_W/view?usp=sharing)
###
Link of best Groups
* [LinkedIn: Computer Vision, Deep Learning, Deep Reinforcement Learning, GANs, OpenCV, Caffe, TensorFlow,PyTorch](https://www.linkedin.com/groups/10320678/)
* [Source code](https://gitlab.com/pirahansiah)
* [Facebook : Deep Learning, Computer Vision, Robotics ](https://web.facebook.com/groups/185926728115336/)
* [The link to one-note notebook ](https://1drv.ms/u/s!AhG15hrdT9JOgR5GZgPjve65F-e5)
* [GitHub](https://github.com/pirahansiah)
###
Books
* [The Art of Startup Fundraising](https://www.amazon.de/-/en/Alejandro-Cremades-ebook/dp/B01DQ3GY3Y)
* [Mathematics for Machine Learning](https://mml-book.github.io/)
* Principles of Economics (6th edition)
* The E-Myth Revisited Why Most Small Businesses Don't Work and What to Do About It
* Clean Code: A Handbook of Agile Software Craftsmanship (Robert C. Martin)
* Reinventing Your Life: The Breakthough Program to End Negative Behavior
* Ways Of Thinking: The Limits Of Rational Thought And Artificial Intelligence
* [https://images.kw.com/docs/2/1/2/212345/1285134779158_htwfaip.pdf](https://images.kw.com/docs/2/1/2/212345/1285134779158_htwfaip.pdf)
* * [Computer Vision: Algorithms and Applications](http://szeliski.org/Book/)
* [Multiple View Geometry in Computer Vision Second Edition](https://www.robots.ox.ac.uk/~vgg/hzbook/)
* [Complete to download the latest draft of Machine Learning Yearning](https://www.deeplearning.ai/machine-learning-yearning/)
* Multiple view geometry in computer vision
* Learning OpenCV Book by Adrian Kaehler and Gary Bradski
* Digital Image Processing, Global Edition by Rafael C. Gonzalez
* Introduction to Algorithms, 3rd Edition (The MIT Press)
* The Mythical Man-Month: Essays on Software Engineering
* [OpenCV-4-with-Python-Blueprints-Second-Edition](https://github.com/PacktPublishing/OpenCV-4-with-Python-Blueprints-Second-Edition)
###
Videos
* [https://www.youtube.com/computervisiondeeplearning](https://www.youtube.com/computervisiondeeplearning)
* [Two Minute Papers](https://www.youtube.com/c/K%C3%A1rolyZsolnai/videos)
* [Conference on Pattern Recognition](https://www.gcpr-vmv-vcbm-2020.uni-tuebingen.de/)
* [https://researchseminars.org/?fbclid=IwAR0Ly9WLONBMBteYI7IhlRaMYR_rQR6YrpdxLG_sUxPxGYKQhB0SOTmcjgY](https://researchseminars.org/?fbclid=IwAR0Ly9WLONBMBteYI7IhlRaMYR_rQR6YrpdxLG_sUxPxGYKQhB0SOTmcjgY)
###
Papers
* CALTag: High Precision Fiducial Markers for Camera
* Diatom Autofocusing in Brightfield Microscopy: a Comparative Study
* Analysis of focus measure operators in shape-from-focus
* Optical flow modeling and computation: A survey
* Toward general type 2 fuzzy logic systems based on zSlices
###
Site
* [Research Tools By: Nader Ale Ebrahim](https://www.mindmeister.com/39583892/research-tools-by-nader-ale-ebrahim?t=HMmnzlA4zN) ([MindMap](https://www.mindmeister.com/39583892/research-tools-by-nader-ale-ebrahim?fullscreen=1#))
Reference-
ComputerVisionDeepLearning.pdf
* [https://virgool.io/@r_alimorady/easy-install-cuda-document-hhk6nuylvl1w](https://virgool.io/@r_alimorady/easy-install-cuda-document-hhk6nuylvl1w)
* [https://techcommunity.microsoft.com/t5/azure-ai/introducing-multivariate-anomaly-detection/ba-p/2260679](https://techcommunity.microsoft.com/t5/azure-ai/introducing-multivariate-anomaly-detection/ba-p/2260679)
* [https://www.freertos.org/index.html](https://www.freertos.org/index.html)
* [https://en.wikipedia.org/wiki/Knowledge_distillation](https://en.wikipedia.org/wiki/Knowledge_distillation)
* [https://80000hours.org/2015/10/startup-salaries-and-equity-compensation/](https://80000hours.org/2015/10/startup-salaries-and-equity-compensation/)
* [https://www.thecvf.com/?page_id=413](https://www.thecvf.com/?page_id=413)
* [https://levelup.gitconnected.com/s-o-l-i-d-principles-explained-in-python-with-examples-83b2b43bdcde?gi=a1fee170c917](https://levelup.gitconnected.com/s-o-l-i-d-principles-explained-in-python-with-examples-83b2b43bdcde?gi=a1fee170c917)
* [https://arxiv.org/pdf/2104.13921.pdf](https://arxiv.org/pdf/2104.13921.pdf)
* [https://blog.paperspace.com/object-detection-directed-mask-r-cnn-keras/](https://blog.paperspace.com/object-detection-directed-mask-r-cnn-keras/)
* [https://pub.towardsai.net/will-transformers-replace-cnns-in-computer-vision-55657a196833](https://pub.towardsai.net/will-transformers-replace-cnns-in-computer-vision-55657a196833)
* [https://medium.com/@daviddelaiglesiacastro/3d-point-cloud-generation-from-3d-triangular-mesh-bbb602ecf238](https://medium.com/@daviddelaiglesiacastro/3d-point-cloud-generation-from-3d-triangular-mesh-bbb602ecf238)
*
[https://koinly.io/](https://koinly.io/)
site map: octopus.do
[https://www.startupgermany.nrw/startup-
contest/](https://www.startupgermany.nrw/startup-contest/)
[https://www.kickstarter.com/projects/opencv/opencv-ai-kit-oak-depth-
camera-4k-cv-edge-object-
detection/description](https://www.kickstarter.com/projects/opencv/opencv-ai-
kit-oak-depth-camera-4k-cv-edge-object-detection/description)
[HOW I GAINED 68,000 SUBSCRIBERS IN A YEAR! | My Strategy to Grow on YouTube
in 2021! - YouTube
](https://www.youtube.com/watch?v=bwd1dQr33K8&list=PLxC08P2Oexy2EJKezV02N9cp3-qOEh79Z)
[https://www.youtube.com/watch?v=bwd1dQr33K8&list=PLxC08P2Oexy2EJKezV02N9cp3-qOEh79Z](https://www.youtube.com/watch?v=bwd1dQr33K8&list=PLxC08P2Oexy2EJKezV02N9cp3-qOEh79Z)
[https://www.youtube.com/watch?v=cFdApmqlllg](https://www.youtube.com/watch?v=cFdApmqlllg)
[محمد رضا شجریان، آلبوم کامل در خیال -
YouTube](https://www.youtube.com/watch?v=cFdApmqlllg)
[دوره جامع گوگل آنالیتیکس(UA) |
آنالیتیپس](https://analytips.io/product/google-analyticsua/)
[رادیوگیک - شماره ۱۲۱ - ما این لارادیوگیک - شماره ۱۲۱ - ما این لا -
YouTube](https://www.youtube.com/watch?v=dzBLhio-DIc)
[Social Selling Index | Sales
Navigator](https://www.linkedin.com/sales/ssi?src=or-
search&veh=www.google.com)
[https://rschu.me/list-a-directory-with-tree-command-on-mac-
os-x-3b2d4c4a4827](https://rschu.me/list-a-directory-with-tree-command-on-mac-
os-x-3b2d4c4a4827)
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# Links
pirahansiah, Personal, Roadmap, Books, Online Courses
[](https://drive.google.com/open?id=1ELXvmqcSciCK8-TUVsyVRnYTuxnKta-_xze-
oXQexwY "Open Spreadsheet, Links in new window")
Links
Links from my research and interest
AI in RISC-V
Mixed reality
Old Links
Reference
Link Groups
Top website
Python
Computer Vision
Documents
Business
Tools
Patents
Books
Journal Papers
Conference Papers
Articles on LinkedIn
Slides slideshare
Online Courses
Learning path
Completed
Reference
Link of best Groups
Books
Videos
Papers
Site
Efficient Video Dataset Loading and Augmentation in PyTorch for deep learning
training loops.
GitHub[ https://lnkd.in/gpR8idsp](https://lnkd.in/gpR8idsp)
[https://remmina.org/how-to-install-remmina/](https://remmina.org/how-to-
install-remmina/)
[https://readme.so/](https://readme.so/)
#
Links from my research and interest
[Build Better Generative Adversarial Networks (GANs) - Andrew Ng -
2021](https://www.youtube.com/playlist?list=PLuv1FSpHurUfl44GWqaCzEhGP-aP_-
VnF)
[https://www.oreilly.com/library/view/flow-
architectures/9781492075882/](https://www.oreilly.com/library/view/flow-
architectures/9781492075882/)
##
AI in RISC-V
* [RISC-V hardware & software ecosystem highlights in 2020](https://www.cnx-software.com/2020/12/10/risc-v-hardware-software-ecosystem-highlights-in-2020)
##
Mixed reality
* [https://github.com/MIT-SPARK/Kimera](https://github.com/MIT-SPARK/Kimera)
* Kimera is a C++ library for real-time metric-semantic simultaneous localization and mapping, which uses camera images and inertial data to build a semantically annotated 3D mesh of the environment. Kimera is modular, ROS-enabled, and runs on a CPU.
#
Old Links
###
Reference
[https://drive.google.com/file/d/1xd5TZlEZnUUieXzw3Lxn3Sv7MwIajU_W/view?usp=sharing](https://drive.google.com/file/d/1xd5TZlEZnUUieXzw3Lxn3Sv7MwIajU_W/view?usp=sharing)
###
Link Groups
* [LinkedIn: Computer Vision, Deep Learning, Deep Reinforcement Learning, GANs, OpenCV, Caffe, TensorFlow,PyTorch](https://www.linkedin.com/groups/10320678/)
* [Source code](https://gitlab.com/pirahansiah)
* [Facebook : Deep Learning, Computer Vision, Robotics ](https://web.facebook.com/groups/185926728115336/)
* [The link to one-note notebook ](https://1drv.ms/u/s!AhG15hrdT9JOgR5GZgPjve65F-e5)
* [GitHub](https://github.com/pirahansiah)
###
Top website
* [https://paperswithcode.com/](https://paperswithcode.com/)
* [https://www.learnthepart.com/](https://www.learnthepart.com/)
* [https://hackaday.com/](https://hackaday.com/)
* [https://medium.com/@pirahansiah/timesaver-626019137fa9?sk=cde3334919d6c16ba0964fe021a24762](https://medium.com/@pirahansiah/timesaver-626019137fa9?sk=cde3334919d6c16ba0964fe021a24762)
* hbrew install youtube-dl
* [https://www.masterclass.com/](https://www.masterclass.com/)
* [Deep Learning for coders (2020)](https://www.youtube.com/user/howardjeremyp)
* [Deep Learning for Video](https://mcv-m6-video.github.io/deepvideo-2019/) (Master in Computer Vision Barcelona)
* [Augmented Reality using ArUco Markers in OpenCV (C++ / Python)](https://www.learnopencv.com/augmented-reality-using-aruco-markers-in-opencv-c-python/)
* [https://explainshell.com/](https://explainshell.com/)
* [https://stackoverflow.blog/2020/02/12/when-laziness-is-efficient-make-the-most-of-your-command-line/](https://stackoverflow.blog/2020/02/12/when-laziness-is-efficient-make-the-most-of-your-command-line/?utm_source=Iterable&utm_medium=email&utm_campaign=the_overflow_newsletter&utm_content=02-19-20)
* [https://link.medium.com/XA49Ke0Jt4](https://link.medium.com/XA49Ke0Jt4)
* [https://link.medium.com/Np0YEy1Jt4](https://link.medium.com/Np0YEy1Jt4)
###
Python
* [How to Write Beautiful Python Code With PEP 8](https://realpython.com/python-pep8/)
* [PEP 622 -- Structural Pattern Matching](https://www.python.org/dev/peps/pep-0622/)
* [Monitor Your Dependencies! Stop Being A Blind Data-Scientist.](https://towardsdatascience.com/monitor-your-dependencies-stop-being-a-blind-data-scientist-a3150bd64594)
###
Computer Vision
* [Hybrid CV/DL pipelines with OpenCV 4.4 G-API](https://opencv.org/hybrid-cv-dl-pipelines-with-opencv-4-4-g-api/)
* [PaddleDetection is an end-to-end object detection development kit based on PaddlePaddle, which aims to help developers in the whole development of training models, optimizing performance and inference speed, and deploying models. ](https://github.com/PaddlePaddle/PaddleDetection/blob/release/0.4/README_en.md)
* [https://github.com/google/mediapipe](https://github.com/google/mediapipe)
###
Documents
* [https://book.keybase.io/docs](https://book.keybase.io/docs)
* [kind is a tool for running local Kubernetes clusters using Docker container "nodes".](https://github.com/kubernetes-sigs/kind)
* [FINN is an experimental framework from Xilinx Research Labs to explore deep neural network inference on FPGAs. ](https://xilinx.github.io/finn/)
* [Gitter is a chat and networking platform that helps to manage, grow and connect communities through messaging, content and discovery.](https://gitter.im/)
* [Fair and useful benchmarks for measuring training and inference performance of ML hardware, software, and services.](https://mlperf.org/)
* [https://kepler.gl/demo](https://kepler.gl/demo)
* [Open source, highly available Prometheus setup with long term storage capabilities.](https://thanos.io/)
* [Deep Learning Design Patterns - Jr Data Scientist - Part 3 - Alternative Connectivity Patterns](https://www.youtube.com/watch?v=JI-MButCqUE)
###
Business
* [5 Ways to Make More Money as a Coach or Consultant](https://www.entrepreneur.com/article/283006)
* [https://www.youtube.com/watch?v=njx09wXb9o0&list=PLnhdsL4kFmVYMNq6F8k8UiFkc6fwIdk3o&index=5](https://www.youtube.com/watch?v=njx09wXb9o0&list=PLnhdsL4kFmVYMNq6F8k8UiFkc6fwIdk3o&index=5)
###
Tools
* Free convert video for mac opensource
* [https://github.com/HandBrake/HandBrake](https://github.com/HandBrake/HandBrake)
* [https://handbrake.fr/rotation.php?file=HandBrake-1.3.3.dmg](https://handbrake.fr/rotation.php?file=HandBrake-1.3.3.dmg)
* [global-gitignore.md](https://gist.github.com/subfuzion/db7f57fff2fb6998a16c)
* [https://nextbillion.ai/](https://nextbillion.ai/) Mapping platform built for enterprises
* [https://github.com/ondras/my-mind](https://github.com/ondras/my-mind) MindMap
* [Create and share beautiful images of your source code.](https://carbon.now.sh/)
* [Web IDE](https://replit.com/templates)
* [https://github.com/jely2002/youtube-dl-gui/releases/tag/v2.2.2](https://github.com/jely2002/youtube-dl-gui/releases/tag/v2.2.2)
###
Patents
[https://patents.google.com/?inventor=pirahansiah&oq=pirahansiah](https://patents.google.com/?inventor=pirahansiah&oq=pirahansiah)
1. System and method for providing advertisement contents based on facial analysis (WO2020141969A2)
2. A method for augmenting a plurality of face images (WO2021060971A1)
3. A method for detecting a moving vehicle (WO2021107761A1)
1. System and method for providing advertisement contents based on facial analysis (WO2020141969A2)
The present invention relates to a system (100) for providing advertisement
contents based on facial analysis comprising an image acquisition device (10)
to acquire an image of a user, a face detection module (20) to detect face of
the user in the image, an analysis module (40) to analyse the facial features
statistically using classification models retrieved from a classification
module (30), a database (60) to store matching rules, weighted advertisements
and a plurality of advertisement contents; and a display device (80) to
display the advertisement contents. The system (100) further comprises a
computation module (50) to compute weighted image of the user and a matching
module (70) to match the weighted image of the user with the weighted
advertisement to select an advertisement content based on facial analysis of
the user. A method of providing the advertisement contents based on facial
analysis is also provided thereof.
[https://patentimages.storage.googleapis.com/ff/3f/a5/e7b42ef58d8a03/WO2020141969A2.pdf](https://patentimages.storage.googleapis.com/ff/3f/a5/e7b42ef58d8a03/WO2020141969A2.pdf)
2. A method for augmenting a plurality of face images (WO2021060971A1)
The present invention relates to a method for increasing data for face
analysis in video surveillance. The method comprises the steps of acquiring at
least one face image from an image acquisition module (102), acquiring a
plurality of face images available on the internet using a data input module
(104), increasing face images by at least one data augmentation module (106
and 107), generating a plurality of face images based on a trained Generative
Adversarial Network, GAN technique by using a GAN module, selecting proper
images based on quality of the face images using a fuzzy logic module (111),
saving the selected images into a fifth database, and training the deep
learning module (113).
[https://patentimages.storage.googleapis.com/b8/d9/7f/ea8a5b789e1dad/WO2021060971A1.pdf](https://patentimages.storage.googleapis.com/b8/d9/7f/ea8a5b789e1dad/WO2021060971A1.pdf)
3. A method for detecting a moving vehicle (WO2021107761A1)
The present invention relates to a method for detecting a moving vehicle. The
method comprises the steps of grabbing an initial image from a video stream by
a vehicle detection module (1100), wherein the vehicle detection module (1100)
is a part of a system (1000) to identify moving vehicle, enhancing the
illumination of the initial image by the vehicle detection module (1100),
enhancing the edges within the initial image by the vehicle detection module
(1100), and finding vehicle based on homogenous properties of the body of the
vehicle by the vehicle detection module (1100). The step of finding vehicle
based on homogenous property of the body of the vehicle by the vehicle
detection module (1100) further comprising the sub-steps of closing open
edges, inverting the binary image, segmenting an inverted binary image,
filtering the noise based on geometric feature, and filtering the noise based
on relation.
[https://patentimages.storage.googleapis.com/16/41/83/2576e20c4a0af5/WO2021107761A1.pdf](https://patentimages.storage.googleapis.com/16/41/83/2576e20c4a0af5/WO2021107761A1.pdf)
###
Books
1. [book chapter titled “Camera Calibration and Video Stabilization Framework for Robot Localization” in the Book entitled “Control Engineering in Robotics and Industrial Automation" which will be published (24/07/2021) in Springer. ](https://www.waterstones.com/book/control-engineering-in-robotics-and-industrial-automation/muralindran-mariappan/mohd-rizal-arshad/9783030745394)
2. [book chapter titled “Augmented Optical Flow Methods for Video Stabilization", In Computational Intelligence: from theory to application. (2017) (p18). ](http://www.ukm.my/penerbit/penerbitan-2017/)
###
Journal Papers
* Using An Ant Colony Optimization Algorithm For Image Edge Detection As A Threshold Segmentation For OCR System Journal of Theoretical & Applied Information Technology, 95(21)
* * [http://www.jatit.org/volumes/Vol95No21/1Vol95No21.pdf](http://www.jatit.org/volumes/Vol95No21/1Vol95No21.pdf)
* GSFT-PSNR: Global Single Fuzzy Threshold Based on PSNR for OCR Systems, International Journal of Computer Science and Network Solutions 4(6)
* * [https://www.ijcsns.com/June.2016-Volume.4-No.6/Article01.pdf](https://www.ijcsns.com/June.2016-Volume.4-No.6/Article01.pdf)
* Adaptive Image Thresholding based On the Peak Signal-To-Noise Ratio, Research Journal of Applied Sciences, Engineering and Technology 8(9).
* * [http://www.academia.edu/download/44161592/Adaptive_Image_Thresholding_Based_on_the20160328-31366-1wyb1jc.pdf](http://www.academia.edu/download/44161592/Adaptive_Image_Thresholding_Based_on_the20160328-31366-1wyb1jc.pdf)
* Simultaneous Localization and Mapping Trends and Humanoid Robot Linkages, Asia-Pacific Journal of Information Technology and Multimedia (APJITM)
* * [http://journalarticle.ukm.my/6644/1/4429-10302-1-SM.pdf](http://journalarticle.ukm.my/6644/1/4429-10302-1-SM.pdf)
* Peak Signal-To-Noise Ratio Based On Threshold Method for Image Segmentation, Journal of Theoretical & Applied Information Technology, 57(2)
* * [http://www.jatit.org/volumes/Vol57No2/4Vol57No2.pdf](http://www.jatit.org/volumes/Vol57No2/4Vol57No2.pdf)
* Character recognition based on global feature extraction; Journal of Theoretical and Applied Information Technology 52
* * [http://www.jatit.org/volumes/Vol52No2/6Vol52No2.pdf](http://www.jatit.org/volumes/Vol52No2/6Vol52No2.pdf)
###
Conference Papers
* Pattern Image Significance for Camera Calibration, IEEE Student Conference on Research and Development (SCOReD 2017)
* [http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8305440&isnumber=8305342](http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8305440&isnumber=8305342)
* Augmented optical flow methods for video stabilization. 4th Artificial Intelligence Technology Postgraduate Seminar (CAITPS 2015)
* [http://www.academia.edu/download/45596617/farshid.pdf](http://www.academia.edu/download/45596617/farshid.pdf)
* Auto-Calibration for Multi-Modal Robot Vision based on Image Quality Assessment, The 10th Asian Control Conference (ASCC 2015)
* [https://doi.org/10.1109/ASCC.2015.7360336](https://doi.org/10.1109/ASCC.2015.7360336)
* 2D versus 3D Map for Environment Movement Objects, Second National Doctoral Seminar in Artificial Intelligence Technology (CAIT 2012)
* [http://www.ftsm.ukm.my/cait2012/images/Program%20Schedule%20CAIT2012.pdf](http://www.ftsm.ukm.my/cait2012/images/Program%20Schedule%20CAIT2012.pdf)
* Comparison Single Thresholding Method for Image Segmentation on Handwritten Images, International Conference on Pattern Analysis and Intelligent Robotics
* [https://doi.org/10.1109/ICPAIR.2011.5976918](https://doi.org/10.1109/ICPAIR.2011.5976918)
* License Plate Recognition with Multi-Threshold Based on Entropy, 3rd International Conference on Electrical Engineering and Informatics (ICEEI 2011)
* [https://doi.org/10.1109/ICEEI.2011.6021627](https://doi.org/10.1109/ICEEI.2011.6021627)
* Character recognition based on global feature extraction, 3rd International Conference On Electrical Engineering and Informatics (ICEEI 2011)
* [https://pdfs.semanticscholar.org/2d22/66bfb2f5ba5cb40b5946b82c620dc713d793.pdf](https://pdfs.semanticscholar.org/2d22/66bfb2f5ba5cb40b5946b82c620dc713d793.pdf)
* [https://doi.org/10.1109/ICEEI.2011.6021649](https://doi.org/10.1109/ICEEI.2011.6021649)
* Tafresh Grid: Grid computing in Tafresh university," 2011 IEEE 3rd International Conference on Communication Software and Networks, Xi'an, 2011, pp. 83-85.
* [http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6014009&isnumber=6013532](http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6014009&isnumber=6013532)
* Adaptive image segmentation based on Peak Signal to Noise Ratio for a license plate Recognition system, International Conference on Computer Applications and Industrial Electronics (ICCAIE 2010)
* [https://doi.org/10.1109/ICCAIE.2010.5735125](https://doi.org/10.1109/ICCAIE.2010.5735125)
* [http://www.academia.edu/download/44161592/Adaptive_Image_Thresholding_Based_on_the20160328-31366-1wyb1jc.pdf](http://www.academia.edu/download/44161592/Adaptive_Image_Thresholding_Based_on_the20160328-31366-1wyb1jc.pdf)
* Multi-threshold approach for license plate recognition system, International Conference on Signal and Image Processing WASET ICSIP 2010:1046-1050
* [http://waset.org/publications/3636](http://waset.org/publications/3636)
* An evaluation of classification techniques using enhanced Geometrical Topological Feature Analysis, 2nd Malaysian Joint Conference on Artificial Intelligence (MJCAI 2010)
* [https://scholar.google.com/scholar?oi=bibs&cluster=3038184255311332521&btnI=1&hl=en](https://scholar.google.com/scholar?oi=bibs&cluster=3038184255311332521&btnI=1&hl=en)
###
Articles on LinkedIn
* [ADRL: Advanced Deep Reinforcement Learning {Patents and papers; Main point summary on recently published research on DRL} (draft version Feb 2019) ]([https://www.linkedin.com/pulse/patents-papers-adrl-advanced-deep-reinforcement-feb-pirahansiah-phd/](https://www.linkedin.com/pulse/patents-papers-adrl-advanced-deep-reinforcement-feb-pirahansiah-phd/))
* [The most important research papers for deep learning (updated December, 2017)]([https://www.linkedin.com/pulse/most-important-research-papers-deep-learning-updated-2017-farshid/](https://www.linkedin.com/pulse/most-important-research-papers-deep-learning-updated-2017-farshid/) )
* [List of useful links (Videos, Slides, Articles) for Deep Learning ]([https://www.linkedin.com/pulse/list-useful-links-videos-slides-articles-deep-farshid-pirahansiah/](https://www.linkedin.com/pulse/list-useful-links-videos-slides-articles-deep-farshid-pirahansiah/))
* [Autonomous driving vehicles (Computer Vision, Deep Learning)]([https://www.linkedin.com/pulse/autonomous-driving-vehicles-computer-vision-deep-farshid-pirahansiah-1/](https://www.linkedin.com/pulse/autonomous-driving-vehicles-computer-vision-deep-farshid-pirahansiah-1/)
* [Thresholding]([https://www.linkedin.com/pulse/thresholding-farshid-pirahansiah/](https://www.linkedin.com/pulse/thresholding-farshid-pirahansiah/)
###
Slides slideshare
* Deep Learning for Computer Vision in Ubuntu 19; Part 1 installation [Link]([https://www.slideshare.net/pirahansiah/deep-learning-for-computer-vision-in-ubuntu-19-part-1-installation](https://www.slideshare.net/pirahansiah/deep-learning-for-computer-vision-in-ubuntu-19-part-1-installation)
* Using Deep Learning for Computer Vision Applications [Link]([https://www.slideshare.net/pirahansiah/using-deep-learning-for-computer-vision-applications](https://www.slideshare.net/pirahansiah/using-deep-learning-for-computer-vision-applications) )
* tensorflow1.3 digits6.0 Caffe [Link]([https://www.slideshare.net/pirahansiah/farshid-tensorflow13-digits60caffe](https://www.slideshare.net/pirahansiah/farshid-tensorflow13-digits60caffe) )
* Install TensorFlow 1.2 on macOS Sierra on MacBook (June 2017) [Link]([https://www.slideshare.net/pirahansiah/install-tensorflow-12-on-macos-sierra-on-macbook-june-2017](https://www.slideshare.net/pirahansiah/install-tensorflow-12-on-macos-sierra-on-macbook-june-2017) )
* Best Deep Learning Post from LinkedIn Group [Link]([https://www.slideshare.net/pirahansiah/best-deep-learning-post-from-linkedin-group](https://www.slideshare.net/pirahansiah/best-deep-learning-post-from-linkedin-group) )
* Install, Compile, Setup, Setting OpenCV 3.2, Visual C++ 2015, Win 64bit [Link]([https://www.slideshare.net/pirahansiah/install-compile-setup-setting-opencv-32-visual-c-2015-win-64bit](https://www.slideshare.net/pirahansiah/install-compile-setup-setting-opencv-32-visual-c-2015-win-64bit) )
* Layers in Deep Learning&Caffe layers (model architecture ) [Link]([https://www.slideshare.net/pirahansiah/layers-in-deep-learningcaffe-layers-model-architecture](https://www.slideshare.net/pirahansiah/layers-in-deep-learningcaffe-layers-model-architecture) )
* How to install Digits 5.1 on Ubuntu 14 [Link]([https://www.slideshare.net/pirahansiah/how-to-install-digits-51-on-ubuntu-14](https://www.slideshare.net/pirahansiah/how-to-install-digits-51-on-ubuntu-14) )
* Deep Learning for Video Analysis – part 1 (DeepStream SDK) [NVIDIA TensorRT || NVIDIA GPU Inference Engine (GIE)] [Link]([https://www.slideshare.net/pirahansiah/deep-learning-for-video-analysis-part-1-deepstream-sdk-nvidia-tensorrt-nvidia-gpu-inference-engine-gie](https://www.slideshare.net/pirahansiah/deep-learning-for-video-analysis-part-1-deepstream-sdk-nvidia-tensorrt-nvidia-gpu-inference-engine-gie) )
* Computer Vision, Deep Learning, OpenCV [Link]([https://www.slideshare.net/pirahansiah/computer-vision-deep-learning-opencv](https://www.slideshare.net/pirahansiah/computer-vision-deep-learning-opencv) )
###
Online Courses
* [Writing with Impact ](https://www.linkedin.com/learning/writing-with-impact)
* [Balancing Work and Life ](https://www.linkedin.com/learning/balancing-work-and-life)
* [Finance Foundations: Income Taxes ](https://www.linkedin.com/learning/finance-foundations-income-taxes-2)
* [Starting a Business with Family and Friends ](https://www.linkedin.com/learning/starting-a-business-with-family-and-friends)
* [Finance Essentials for Small Business ](https://www.linkedin.com/learning/finance-essentials-for-small-business)
* [Setting Up Your Small Business as a Legal Entity ](https://www.linkedin.com/learning/setting-up-your-small-business-as-a-legal-entity)
* [Creating a Business Plan ](https://www.linkedin.com/learning/creating-a-business-plan-2)
* [Understanding Business ](https://www.linkedin.com/learning/understanding-business)
* [Entrepreneurship: Finding and Testing Your Business Idea ](https://www.linkedin.com/learning/entrepreneurship-finding-and-testing-your-business-idea)
* [Guy Kawasaki on Entrepreneurship ](https://www.linkedin.com/learning/guy-kawasaki-on-entrepreneurship)
* [Financial Modeling Foundations ](https://www.linkedin.com/learning/financial-modeling-foundations)
* [Financial Accounting Foundations ](https://www.linkedin.com/learning/financial-accounting-foundations)
* [Strategic Planning Foundations ](https://www.linkedin.com/learning/strategic-planning-foundations)
* [5 Personal Finance Tips ](https://www.linkedin.com/learning/5-personal-finance-tips)
* [Investment Evaluation ](https://www.linkedin.com/learning/investment-evaluation)
* [Managing Your Personal Investments ](https://www.linkedin.com/learning/managing-your-personal-investments)
* [Financial Wellness: Managing Personal Ca