Computer Vision Techniques & Practice

This repository contains different techniques used in Computer Vision from classical techniques to deep learning based approaches. The contents start with simple concepts & examples and use Open CV. In the later sections deep learning based approaches are tried where Scene Understanding to Object Detection have been implemented for practice.

Solutions uses multiple techniques across frameworks like PyTorch,Tensorflow & Keras.

Topics

1. Image Representation
2. Computer Vision Fundatamentals
3. Camera Calibration
4. Gradients Color Spaces
5. Object Detection
6. Object Detection Technique
7. Object Tracking & Localisation
8. Kalman Filters
9. Lane Detection
10. Neural Networks
11. Tensorflow
12. Deep Neural Networks
13. CNNs
14. Keras
15. Transfer Learning
16. Fully Convolution Network
17. Scene Understanding