/comp-vision-exercises

Primary LanguageJupyter Notebook

Computer vision

Chapters

Basics of image processing

  • Reading images, webcams, videoss
  • Basic operations on images such as changing color scales, applying gaussian blurs, edge detection using canny edge detector, dilating and eroding images.
  • Resizing, cropping Images
  • Drawing shapes such as circles, rectangles, lines, and adding text on images
  • Detection of color in HSV space

Features detection and tracking

  • Features extraction and description using various detectors and descriptors in opencv
  • Features tracking
  • Object detection
  • Complete Project: Object detection and tracking

Deep learning for computer vision

  • Basic neural nets and machine learning algorithm implementation
  • Object classification and recognition using CNN
  • Image generation using GAN

3D Reconstruction using deep learning

  • Upcoming

Requirements

  • OpenCV 4+ installed (built from source)
  • Tensorflow
  • Keras
  • Sklearn
  • Numpy, Pandas, Matplotlib

Instructions

Note: I have used ubuntu 20.04 and OpenCV 4.5.5 version.

  1. cd src/chapter_name/build

  2. cmake .. && make

  3. ./main