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.
Frequently asked
- What is VainF/DeepLabV3Plus-Pytorch?
- PyTorch implementation of DeepLabV3 and DeepLabV3+ semantic segmentation architectures with pretrained models for Pascal VOC and Cityscapes datasets.
- Is DeepLabV3Plus-Pytorch open source?
- Yes — VainF/DeepLabV3Plus-Pytorch is open source, released under the MIT license.
- What language is DeepLabV3Plus-Pytorch written in?
- VainF/DeepLabV3Plus-Pytorch is primarily written in Python.
- How popular is DeepLabV3Plus-Pytorch?
- VainF/DeepLabV3Plus-Pytorch has 2.7k stars on GitHub.
- Where can I find DeepLabV3Plus-Pytorch?
- VainF/DeepLabV3Plus-Pytorch is on GitHub at https://github.com/VainF/DeepLabV3Plus-Pytorch.