Pytorch-UNet
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
Segment images into different parts using a specialized model for high-quality image analysis.
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Free · no card · unsubscribe anytimePyTorch implementation of the U-Net for image semantic segmentation with high quality images
Pytorch-UNet has 11.5k stars on GitHub. It has been forked 2.8k times. Pytorch-UNet is written mainly in Python. It has been in active development since 2017. Pytorch-UNet is available under the GPL-3.0 license. Its main topics are convolutional-networks, convolutional-neural-networks, deep-learning, kaggle.
What is Pytorch-UNet?
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
Is Pytorch-UNet open source?
Pytorch-UNet is an open-source project. It is released under the GPL-3.0 license.
Is Pytorch-UNet free?
Yes. Pytorch-UNet is free and open source — you can use, modify and self-host it. Its GPL-3.0 license is copyleft: if you distribute a modified version, it must remain under the same license.
What license does Pytorch-UNet use?
Pytorch-UNet is available under the GPL-3.0 license.
What language is Pytorch-UNet written in?
Pytorch-UNet is written mainly in Python.
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