FgSegNet_v2: "Learning Multi-scale Features for Foreground Segmentation.” by Long Ang LIM and Hacer YALIM KELES

Hand Gesture Recognition using Convolution Neural Network built using Tensorflow, OpenCV and python

Simplified Deep Image Matting training code with keras on tensorflow

Pytorch code for "Foreground Segmentation for Anomaly Detection in Surveillance Videos Using Deep Residual Networks" (SBRT 2017)

PyTorch Implementation for Segmentation and Saliency Prediction

Few computer vision algorithms implemented in Python for university course.

Extract face or image foreground, remove/replace image background.

Part of my Image Processing assignment

Panorama and Video Processing

Python Implementation of Robust PCA

Face Recongnition With streamlit

Python package for good old fashioned perimeter intrusion detection systems for video protection.

anormaly Detection