Using Python to build u-net, the model can segment random incoming pictures of any size, and get the region to be segmented according to the trained data and labels.

Filename	Size	Update
unet-pytorch-master	0	2019-08-05
unet-pytorch-master\.gitignore	37	2017-11-24
unet-pytorch-master\.ipynb_checkpoints	0	2019-08-05
unet-pytorch-master\.ipynb_checkpoints\UNet - Pytorch-checkpoint.ipynb	15652	2019-08-05
unet-pytorch-master\dataset.py	1025	2017-11-24
unet-pytorch-master\model.py	2917	2017-11-24
unet-pytorch-master\README.md	174	2017-11-24
unet-pytorch-master\requirements.txt	1235	2017-11-24
unet-pytorch-master\saved_models	0	2017-11-24
unet-pytorch-master\saved_models\mini_unet.pth	136567	2017-11-24
unet-pytorch-master\saved_models\net_c32xc64xf3136xf1024.pth	136567	2017-11-24
unet-pytorch-master\UNet - Pytorch.ipynb	15652	2019-08-05

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