Implement image segmentation tasks using a standard method for processing images in TensorFlow.
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tf_unet has 1.9k stars on GitHub. It has been forked 732 times. tf_unet is written mainly in Python. It has been in active development since 2016. tf_unet is available under the GPL-3.0 license. Its main topics are deep-learning, image-segmentation, neural-network, tensorflow.
Generic U-Net Tensorflow implementation for image segmentation
tf_unet is an open-source project. It is released under the GPL-3.0 license.
Yes. tf_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.
tf_unet is available under the GPL-3.0 license.
tf_unet is written mainly in Python.
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