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Notes about Computer vision and implementation of image-processing, face-detection, face-recognition, and character optical recognition applications.

License: GNU Affero General Public License v3.0

Python 100.00%
python learning-by-doing image-processing opencv-notes numpy cv2 computer-vision pillow skimage scikit-learn

super-computer-vision's Introduction

Computer Vision

Index

  1. What you can find in this repository
  2. How to Contribute
  3. System requirements
  4. Let's connect with me

What you can find in this repository

This repo has been created while I was exploring and studying Computer Vision. Explore:

Requirements

  • Python interpreter
  • Numpy: pip3 install numpy
  • CV2: Linux demo installation
  • matplotlib: 2D plotting library.
  • SciPy: another scientifi Python library.
  • libfreenects: module by OpenKinect projec. It provides drivers and libraries for the Microsoft KInect hardware.
  • NumPy: package for scientific computing.
  • Pillow: pip install pillow
  • PyGame: sudo apt-get install python-pygame . Pygams can be used to manage groups of AI entities, draw text, draw 2D geometry, caputre events relating to windows, keyboard, mouse and gamepads. Playback and synthesist of source and music.
  • Imutis: OpenCV face regnotions pip install --upgrade imutils
  • Imageai: library to manage deep-learning models pip install imageai
  • Tensorflow: open source library for a number fo varous task in Machine Learning. pip install tensorflow
  • Keras: nural network library based on TensorFlow2.0pip install keras
  • lxml: library for processing XML and HTML in the Python language.pip install lxml
  • testresources: extensions to python unittest to allow declarative use of resources by test cases.pip install testresources
  • Face-recognition: Get the locations and outlines of each person's eyes, nose, mouth and chin.pip3 install face-recognition Github reference

How to contribute

  1. Fork the repository
  2. Do the desired changes (add/delete/modify)
  3. Make a pull request

Mind that

Constructive criticisms or code reviews of any kind are very much welcome.

If you have any questions about the solutions you can find here, feel free to contact me at: [email protected]

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super-computer-vision's People

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