FgSegNet: Foreground Segmentation Network, Foreground Segmentation Using Convolutional Neural Networks for Multiscale Feature Encoding

open source background removal and masking tools useful for photogrammetry

Simplified Deep Image Matting training code with keras on tensorflow

Training-free active contours powered by deep features — unsupervised & one-shot image segmentation (Deep ContourFlow, arXiv:2407.10696)

Official code for the ViBe background subtraction algorithm (free to use in commerical applications)

Remove and Replace background in live video in real-time. Using webcam and python

Multi-thread Background Subtraction Method.

Python Implementation of Robust PCA

This Jupyter notebook demonstrates image segmentation using Lazy Snapping and K-Means Clustering. It showcases how these algorithms can partition an image into segments based on pixel intensity and user-defined masks.

A bot that keeps on following the yellow path until it encounters a blue path.

An official repository for "Background subtraction based on Gaussian mixture models using color and depth information".

A cutting-edge toolkit engineered for high-precision image segmentation using Boykov-Kolmogorov algorithm and CIDE2000 formula

Implementations of various foreground object extraction methods in Computer Vision

University course

Implementation of "GrabCut": interactive foreground extraction using iterated graph cuts", in MATLAB

Collection of image processing modules like foreground extraction, contour extraction, histogram manipulation.