A semantic segmentation toolbox based on PyTorch
vedaseg vedaseg is an open source semantic segmentation toolbox based on PyTorch. Features Modular Design We decompose the semantic segmentation framework into different components. The flexible and extensible design make it easy to implement a customized semantic segmentation project by combining different modules like building Lego. Support of several popular frameworks The toolbox supports several popular semantic segmentation frameworks out of the box, e.g. DeepLabv3+, DeepLabv3, U-Net, PSPNet, FPN, etc. High efficiency Multi-GPU data parallelism & distributed training. Multi-Class/Multi-Label segmentation […]
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