This document contains links for the Tutorials on:

• Python language
• Image Processing using OpenCV-Python, NumPy, Matplotlib

A. Python

• These tutorials are provided in the format of Jupyter Notebooks OR .ipynb files embedded in a .zip file named, python_tutorials.zip.

• So, you can learn the syntax, edit them and try them out at your end quickly.

• Download these tutorials for various topics listed in the table below. Right-click on the above hyperlink and select the Save Link As... option to download.

  #	Topic	Jupyter Notebook Filename
  1	Getting Started	01_Getting_started.ipynb
  2	Data types	02_Data_types.ipynb
  3	Strings	03_Strings.ipynb
  4	Mathematical Operators	04_Mathematical_operators.ipynb
  5	Conditional Statements	05_Conditional_statements.ipynb
  6	Loops	06_Loops.ipynb
  7	Tuples	07_Tuple.ipynb
  8	Lists	08_Lists.ipynb
  9	Dictionary	09_Dicts.ipynb
  10	Functions	10_Functions.ipynb
  11	Modules	11_Modules.ipynb

• An 12_Exercise.ipynb file is also provided for practice. Kindly note this exercise is not graded.

B. OpenCV, NumPy, Matplotlib

• If you need to learn the basic image processing techniques using OpenCV-Python, NumPy, and Matplotlib. Follow the below-provided tutorial links.

  • Reading an image, displaying it, and saving it back
  • Reading a video, displaying it, and saving it back
  • Capture images from the camera and displaying them
  • Writing video to a file
  • Drawing different geometric shapes
  • Image properties, splitting and merging images
  • Arithmetic and Logical operations on images like addition, subtraction, bitwise operations, etc.
  • Converting images from one colour space to another, like BGR-to-Gray, BGR-to-HSV, etc.
  • Extract or mask an object of a particular colour in a given image

• Learn about these various concepts from the Image Processing, NumPy, and Matplotlib tutorials provided officially by OpenCV, CS231N course at Stanford University and from the ones created by e-Yantra team.

  • Tutorials by OpenCV:

    • Introduction to OpenCV
    • GUI features in OpenCV
    • Core Operations - Basic and Arithmetic Operations on Images
    • Image Processing in OpenCV - Changing Colorspaces, Image Thresholding, Contours in OpenCV

  • Tutorials from CS231N course:

    • Python language
    • NumPy
    • Matplotlib

  • Tutorials by e-Yantra team:

    • These tutorials are provided in the format of Jupyter Notebooks OR .ipynb files embedded in a .zip file named, opencv_tutorials.zip.

    • Download these tutorials for various topics listed in the table below. Right-click on the above hyperlink and select the Save Link As... option to download.

      #	Topic	Jupyter Notebook Filename
      1	Introduction to OpenCV	01_Intro_to_OpenCV.ipynb
      2	Introduction to NumPy	02_Intro_to_NumPy.ipynb
      3	Introduction to Matplotlib	03_Intro_to_Matplotlib.ipynb
      4	Color Models	04_Color_Models.ipynb
      5	2D Transformations	05_2D_Transformations.ipynb
      6	Arithmetic and Logical Operations	06_Arithmetic_Logical_Operations.ipynb
      7	Historgram	07_Histogram.ipynb