Traditional CV Techniques
Once you open the ipynb files you will understand the input Images.
Background_removal_from_video.ipynb : Takes a video as an input to get the background of the image by appreciating Singular Value Decomposition.
PCA (1).ipynb : This file regonizes faces using decision tree clasifier after dimensionality resduction using PCA.
optical.py : Kind of Implemented Kanade Lucas Tomasi(KLT) tracker after getting feature from mouse.
Stitch.ipynb : Implemented panaromic stitching of two images after extracting SIFT features and Matching them.
Circles.ipynb : From the given image We can count the number of circular pieces in it using Hough Transform.