Links from my research and interest

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.

  • 
    

Glass

Robotics

Good to know

Tools

Review again

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

• 
  

Patents

System and method for providing advertisement contents based on facial analysis (WO2020141969A2)

Abstract

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://patents.google.com/?inventor=pirahansiah&oq=pirahansiah

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)