realtime-semantic-segmentation-pytorch

PyTorch implementation of over 30 realtime semantic segmentations models, e.g. BiSeNetv1, BiSeNetv2, CGNet, ContextNet, DABNet, DDRNet, EDANet, ENet, ERFNet, ESPNet, ESPNetv2, FastSCNN, ICNet, LEDNet, LinkNet, PP-LiteSeg, SegNet, ShelfNet, STDC, SwiftNet, and support knowledge distillation, distributed training, Optuna etc.

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250 Stars

37 Forks

250 Watchers

Python Language

apache-2.0 License

100 SrcLog Score

Cost to Build

$567.1K

Market Value

$1.70M

How is this calculated?

Growth over time

1 data points · 2026-04-09 → 2026-04-09

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What is the zh320/realtime-semantic-segmentation-pytorch GitHub project? Description: "PyTorch implementation of over 30 realtime semantic segmentations models, e.g. BiSeNetv1, BiSeNetv2, CGNet, ContextNet, DABNet, DDRNet, EDANet, ENet, ERFNet, ESPNet, ESPNetv2, FastSCNN, ICNet, LEDNet, LinkNet, PP-LiteSeg, SegNet, ShelfNet, STDC, SwiftNet, and support knowledge distillation, distributed training, Optuna etc.". Written in Python. Explain what it does, its main use cases, key features, and who would benefit from using it.

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