A reimplementation of the CVPR2019 paper *Learning-based Sampling for Natural Image Matting*.

Matlab版前景图像提取算法-Learning Based Digital Matting

Python implementation of Zheng, Yuanjie, and Chandra Kambhamettu. "Learning based digital matting." Computer Vision, 2009 IEEE 12th International Conference on. IEEE, 2009.

LaDeco - Layer Decomposer: This repository is to provide method and tool to decompose image layers. The tool is based on deep learning methods of Matting-Anything (MAM, for image matting), and LaMa (for image inpainting) and traditional vision methods.

This repository contains notes and resources for learning Optical Character Recognition (OCR) using Python. The materials are based on lectures and tutorials provided by Dr. William Mattingly.

LearningBasedMatting算法C++版

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Uses learning based digital matting to create annotations to be used for instance segmentation models such as Mask RCNN