jfzhang95/pytorch-deeplab-xception

#artificialintelligence 

Release newest version code, which fix some previous issues and also add support for new backbones and multi-gpu training. This is a PyTorch(0.4.1) implementation of DeepLab-V3-Plus. It can use Modified Aligned Xception and ResNet as backbone. Currently, we train DeepLab V3 Plus using Pascal VOC 2012, SBD and Cityscapes datasets. The code was tested with Anaconda and Python 3.6. For PyTorch dependency, see pytorch.org for more details.

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