zijundeng/pytorch-semantic-segmentation
PyTorch for Semantic Segmentation
This project helps computer vision engineers and researchers to experiment with and apply various deep learning models for semantic segmentation. It takes an input image and outputs a pixel-level classification map, where each pixel is labeled with the category of the object it belongs to. This is ideal for those working on scene understanding, autonomous systems, or medical image analysis.
1,740 stars. No commits in the last 6 months.
Use this if you need to train or test state-of-the-art semantic segmentation models on your custom image datasets.
Not ideal if you are looking for a plug-and-play solution without needing to engage with the underlying deep learning frameworks.
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Python
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MIT
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Last pushed
Oct 25, 2019
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