pytorch-segmentation
:art: Semantic segmentation models, datasets and losses implemented in PyTorch.
Implement and experiment with different models for segmenting images using PyTorch.
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pytorch-segmentation has 1.8k stars on GitHub. It has been forked 391 times. pytorch-segmentation is written mainly in Jupyter Notebook. It has been in active development since 2019. pytorch-segmentation is available under the MIT license. Its main topics are computer-vision, deep-learning, semantic-segmentation.
What is pytorch-segmentation?
:art: Semantic segmentation models, datasets and losses implemented in PyTorch.
Is pytorch-segmentation open source?
pytorch-segmentation is an open-source project. It is released under the MIT license.
Is pytorch-segmentation free?
Yes. pytorch-segmentation is free and open source — you can use, modify and self-host it.
What license does pytorch-segmentation use?
pytorch-segmentation is available under the MIT license.
What language is pytorch-segmentation written in?
pytorch-segmentation is written mainly in Jupyter Notebook.
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