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PyTorch implementation of UNet++ (Nested U-Net).

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Hi, I see in the description the following layout is required for training on a custom dataset: ``` inputs └── ├── images | ├── 0a7e06.jpg │ ├── 0aab0a.jpg │ ├──...

Traceback (most recent call last): File "train.py", line 367, in main() File "train.py", line 327, in main train_log = train(config, train_loader, model, criterion, optimizer) File "train.py", line 112, in train...

Hello, may I ask which version of albumentations did you use in your code? Now some features of this library have changed, so I do not know which version to...

hi everyone I need your help when I run my project I got this error I don't know how to solve ValueError: With n_samples=0, test_size=0.2 and train_size=None, the resulting train...

Is the mask label of the data trained by myself an 8-bit color label graph, or an 8-bit grayscale graph?

hi How do I choose type of deep supervision? I can't see this in your code. If I want to use type of ensemble for deep supervision how can I...

我的dataset为: data_name ——images ——masks 在加载数据集时报错: ![image](https://user-images.githubusercontent.com/63650458/93734563-59864400-fc0c-11ea-8d38-3e01332b84a2.png)

是每个类别一个文件夹,每个类别一张图,该类别区域是255,其他区域是0 比如我有字母ABC三类,那么我需要3个文件夹,比如一张原图上面有AB两个字母,那么0文件夹的标签图是上只有A二值图,1文件夹标签图是上只有B二值图 是这样子吗

I read your paper and the original of UNet++ and everything is clear to me apart from how I can I train the network using a new dataset. There is...