Efficient-Segmentation-Networks
Lightweight models for real-time semantic segmentationon PyTorch (include SQNet, LinkNet, SegNet, UNet, ENet, ERFNet, EDANet, ESPNet, ESPNetv2, LEDNet, ESNet, FSSNet, CGNet, DABNet, Fast-SCNN, ContextNet, FPENet, etc.)
Run real-time image segmentation models for tasks like understanding driving scenes using PyTorch.
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Free · no card · unsubscribe anytimeLightweight models for real-time semantic segmentationon PyTorch (include SQNet, LinkNet, SegNet, UNet, ENet, ERFNet, EDANet, ESPNet, ESPNetv2, LEDNet, ESNet, FSSNet, CGNet, DABNet, Fast-SCNN, ContextNet, FPENet, etc.)
Efficient-Segmentation-Networks has 1k stars on GitHub. It has been forked 167 times. Efficient-Segmentation-Networks is written mainly in Python. It has been in active development since 2019. Efficient-Segmentation-Networks is available under the MIT license. Its main topics are camvid, cityscapes, computer-vision, driving-scene-understanding.
What is Efficient-Segmentation-Networks?
Lightweight models for real-time semantic segmentationon PyTorch (include SQNet, LinkNet, SegNet, UNet, ENet, ERFNet, EDANet, ESPNet, ESPNetv2, LEDNet, ESNet, FSSNet, CGNet, DABNet, Fast-SCNN, ContextNet, FPENet, etc.)
Is Efficient-Segmentation-Networks open source?
Efficient-Segmentation-Networks is an open-source project. It is released under the MIT license.
Is Efficient-Segmentation-Networks free?
Yes. Efficient-Segmentation-Networks is free and open source — you can use, modify and self-host it.
What license does Efficient-Segmentation-Networks use?
Efficient-Segmentation-Networks is available under the MIT license.
What language is Efficient-Segmentation-Networks written in?
Efficient-Segmentation-Networks is written mainly in Python.
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