Tiziran, Personal, Roadmap, Books, Online Courses 

Efficient Video Dataset Loading and Augmentation in PyTorch for deep learning training loops.

GitHub https://lnkd.in/gpR8idsp

https://remmina.org/how-to-install-remmina/

https://readme.so/

Links from my research and interest 

Build Better Generative Adversarial Networks (GANs) - Andrew Ng - 2021

https://www.oreilly.com/library/view/flow-architectures/9781492075882/ 

AI in RISC-V 

• RISC-V hardware & software ecosystem highlights in 2020

Mixed reality

• 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 

Link Groups

• LinkedIn:  Computer Vision, Deep Learning, Deep Reinforcement Learning, GANs, OpenCV, Caffe, TensorFlow,PyTorch  

• Source code  

• Facebook : Deep Learning, Computer Vision, Robotics 

• The link to one-note notebook 

• GitHub

Top website 

• https://paperswithcode.com/

• https://www.learnthepart.com/ 

• https://hackaday.com/ 

• https://medium.com/@pirahansiah/timesaver-626019137fa9?sk=cde3334919d6c16ba0964fe021a24762

•  hbrew install youtube-dl

• https://www.masterclass.com/ 

• Deep Learning for coders (2020)

• Deep Learning for Video (Master in Computer Vision Barcelona)

• Augmented Reality using ArUco Markers in OpenCV (C++ / Python)

• https://explainshell.com/ 

• https://stackoverflow.blog/2020/02/12/when-laziness-is-efficient-make-the-most-of-your-command-line/

• https://link.medium.com/XA49Ke0Jt4

• https://link.medium.com/Np0YEy1Jt4

Python

• How to Write Beautiful Python Code With PEP 8

• PEP 622 -- Structural Pattern Matching

• Monitor Your Dependencies! Stop Being A Blind Data-Scientist.

Computer Vision

• 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/google/mediapipe 

Documents

• https://book.keybase.io/docs

• kind is a tool for running local Kubernetes clusters using Docker container "nodes".

• FINN is an experimental framework from Xilinx Research Labs to explore deep neural network inference on FPGAs. 

• Gitter is a chat and networking platform that helps to manage, grow and connect communities through messaging, content and discovery.

• Fair and useful benchmarks for measuring training and inference performance of ML hardware, software, and services.

• https://kepler.gl/demo

• Open source, highly available Prometheus setup with long term storage capabilities.

• Deep Learning Design Patterns - Jr Data Scientist - Part 3 - Alternative Connectivity Patterns

Business

• 5 Ways to Make More Money as a Coach or Consultant

• https://www.youtube.com/watch?v=njx09wXb9o0&list=PLnhdsL4kFmVYMNq6F8k8UiFkc6fwIdk3o&index=5

Tools

• Free convert video for mac opensource

  • https://github.com/HandBrake/HandBrake

  • https://handbrake.fr/rotation.php?file=HandBrake-1.3.3.dmg

• global-gitignore.md

• https://nextbillion.ai/ Mapping platform built for enterprises

• https://github.com/ondras/my-mind MindMap

• Create and share beautiful images of your source code.

• Web IDE

• https://github.com/jely2002/youtube-dl-gui/releases/tag/v2.2.2 

Patents

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 

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 

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 

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. 

2. book chapter titled “Augmented Optical Flow Methods for Video Stabilization", In Computational Intelligence: from theory to application. (2017) (p18). 

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  

• 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 

• 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 

• 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 

• 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 

• Character recognition based on global feature extraction; Journal of Theoretical and Applied Information Technology 52

  • • 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 

• Augmented optical flow methods for video stabilization. 4th Artificial Intelligence Technology Postgraduate Seminar (CAITPS 2015)

  • 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 

• 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 

• 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 

• 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 

• 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://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

• 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 

  • 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 

• 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 

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/)

• [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/ )

• [List of useful links (Videos, Slides, Articles) for Deep Learning ](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/ 

• [Thresholding](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

• Using Deep Learning for Computer Vision Applications  [Link](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 ) 

• 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 ) 

• Best Deep Learning Post from LinkedIn Group [Link](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 ) 

• Layers in Deep Learning&Caffe layers (model architecture ) [Link](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 ) 

• 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 ) 

• Computer Vision, Deep Learning, OpenCV [Link](https://www.slideshare.net/pirahansiah/computer-vision-deep-learning-opencv )

Online Courses   

• Writing with Impact 

• Balancing Work and Life 

• Finance Foundations: Income Taxes 

• Starting a Business with Family and Friends 

• Finance Essentials for Small Business 

• Setting Up Your Small Business as a Legal Entity 

• Creating a Business Plan 

• Understanding Business 

• Entrepreneurship: Finding and Testing Your Business Idea 

• Guy Kawasaki on Entrepreneurship 

• Financial Modeling Foundations 

• Financial Accounting Foundations 

• Strategic Planning Foundations 

• 5 Personal Finance Tips 

• Investment Evaluation 

• Managing Your Personal Investments 

• Financial Wellness: Managing Personal Cash Flow 

• Financial Wellness for Couples and Families 

• Managing Your Personal Finances 

• Finance Foundations 

• Entrepreneurship Foundations 

• Introduction to Deep Learning with OpenCV 

• OpenCV for Python Developers 

• Brad Feld on Validating Your Startup Idea 

• Brad Feld on Raising Capital 

• Take a More Creative Approach to Problem-Solving 

• Professional Networking 

• Building Relationships While Working from Home 

• Entrepreneurship: Raising Startup Capital 

• Business Analysis Foundations: Business Process Modeling 

• Communicating with Confidence 

• Machine Learning for iOS Developers 

Learning path 

• Stay Ahead in Personal Finance 

• Become a Small Business Owner 

Completed 

Reference

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  

• Source code  

• Facebook : Deep Learning, Computer Vision, Robotics 

• The link to one-note notebook 

• GitHub

Books

• The Art of Startup Fundraising

• Mathematics for Machine Learning

• 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 

• • Computer Vision: Algorithms and Applications

  • Multiple View Geometry in Computer Vision Second Edition

  • Complete to download the latest draft of 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

Videos

• https://www.youtube.com/computervisiondeeplearning 

• Two Minute Papers

• Conference on Pattern Recognition

• 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 (MindMap)  

• 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://www.freertos.org/index.html 
• https://en.wikipedia.org/wiki/Knowledge_distillation
• https://80000hours.org/2015/10/startup-salaries-and-equity-compensation/
• 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://arxiv.org/pdf/2104.13921.pdf 
• https://blog.paperspace.com/object-detection-directed-mask-r-cnn-keras/ 
• 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://koinly.io/

site map: octopus.do

https://www.startupgermany.nrw/startup-contest/

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=cFdApmqlllg محمد رضا شجریان، آلبوم کامل در خیال - YouTube 

دوره جامع گوگل آنالیتیکس(UA) | آنالیتیپس

رادیوگیک - شماره ۱۲۱ - ما این لارادیوگیک - شماره ۱۲۱ - ما این لا - YouTube

Social Selling Index | Sales Navigator

https://rschu.me/list-a-directory-with-tree-command-on-mac-os-x-3b2d4c4a4827