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
Unsupervised, one-shot, instance-based active contour/snake using deep learning features in python.
Remove and Replace background in live video in real-time. Using webcam and python
Multi-thread Background Subtraction Method.
Python Implementation of Robust PCA
An official repository for "Background subtraction based on Gaussian mixture models using color and depth information".
A bot that keeps on following the yellow path until it encounters a blue path.
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.
Implementations of various foreground object extraction methods in Computer Vision
Labs for University course
A cutting-edge toolkit engineered for high-precision image segmentation using Boykov-Kolmogorov algorithm and CIDE2000 formula
Python implementation in Pyodide of A. Levin D. Lischinski and Y. Weiss. A Closed Form Solution to Natural Image Matting. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), June 2006, New York
Implementation of "GrabCut": interactive foreground extraction using iterated graph cuts", in MATLAB
Collection of image processing modules like foreground extraction, contour extraction, histogram manipulation.
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