pytorch-nested-unet
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4uiiurz1
PyTorch implementation of UNet++ (Nested U-Net).
Could you tell me how to use your code for original datasets? Thanks to your guide, I was able to use your code against 2018 Data Science Bowl dataset So...
thanks for your great working, but I can't find the pre traning model....
Hi, how to get the other three layers' segmentation outputs when train with deep_supervision? and why LovaszHingeLoss make the color of binary inference different? Appreciate for any guidance!
When `BatchNorm` with `affine=True` is used, the previous layer's bias is cancelled (See the original BN paper for details). The current implementation's `Conv2D` layers are used with `bias=True`, so by...
[The current IOU implementation](https://github.com/4uiiurz1/pytorch-nested-unet/blob/master/metrics.py#L15-L18) has calculated the union and intersection over samples in a mini-batch, then it has calculated the IOU score. But I think IOU should be calculated per...
Hello, the code is awesome for that it uses some useful API for data preprocess(PyYAML and imgaug), can I get the dice output as well, since that there is definition...
