EnvSetup.md

Env Installation:

From Linux or MacOS Terminal:

1. Install Python 3.x (Note: Not 3.9.x because tensorflow does not support 3.9 yet)
2. Install Package Installer for Python - pip : https://pip.pypa.io/en/stable/installing/
3. Install Image Processing Library - OpenCV : pip install opencv-python
4. Install AI Library - TensorFlow : pip install tensorflow (Note: on windows, you have to enable windows long path enable)

From Windows / Mac:

• Set up Python 3.x envs using
  • PyCharm https://www.jetbrains.com/pycharm/
  • VS Code https://code.visualstudio.com/docs/languages/python
  • Or any Python IDE you like
• Install OpenCV and TensorFlow

Resources:

Python Programming in VS Code

• https://code.visualstudio.com/docs/python/python-tutorial
• https://code.visualstudio.com/docs/languages/python
• https://code.visualstudio.com/docs/python/settings-reference
• https://code.visualstudio.com/docs/python/environments
• https://code.visualstudio.com/docs/python/tutorial-flask
• https://code.visualstudio.com/docs/editor/userdefinedsnippets

Python Programming in PyCharm

• https://www.jetbrains.com/pycharm/

Object Detection thru Image Processing - OpenCV

The folder contains trained Haar Cascades classifiers for detecting objects of a particular type, e.g. faces (frontal, profile), pedestrians etc.

• https://github.com/opencv/opencv/tree/master/data/haarcascades
• https://github.com/AdityaPai2398/Vehicle-And-Pedestrian-Detection-Using-Haar-Cascades

Face Detection thru AI Neural Network

• https://github.com/ipazc/mtcnn