betegon / Computer-Vision-guide

Hands-on guide to Artificial Vision through the use of Jupyter notebooks and OpenCV.

ARTIFICIAL VISION GUIDE

This repository is an intend to make artificial vision learning easier through interactive Jupyter Notebooks

REQUIREMENTS

• Python 3.x

• OpenCV v3 (cv2)

• Numpy
• Matplotlib (only its metod Pyplot)

NOTEBOOKS ORDER

1. Using images with cv2.
2. Drawing functions on images.
3. Image thresholding.
4. Histograms and HSV images.
5. Arithmetic operations on images
6. Image preprocessing and postprocessing
7. Contours
8. Final Project

TO-DO

1. Add Google Colab option to all notebooks.
2. Add links to NOTEBOOKS ORDER