VainF/DeepLabV3Plus-Pytorch
PyTorch implementation of DeepLabV3 and DeepLabV3+ semantic segmentation architectures with pretrained models for Pascal VOC and Cityscapes datasets.

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This repository provides implementations of DeepLabV3 and DeepLabV3+ architectures for semantic image segmentation, supporting multiple backbones including ResNet, MobileNet, HRNet, and Xception. It includes pretrained model weights and tools for converting standard convolutions to atrous separable convolutions. Users can load pretrained models and visualize segmentation outputs with colorized masks.