CE-Net

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Set_A.txt and Set_B.txt in ORIGA dataset

3

Hi! Could you please provide Set_A.txt and Set_B.txt for experiment on ORIGA dataset? I searched online for how ORIGA dataset was divided into training set and test set, but found...

baaaohaaan

test_center报错，维度不匹配

3

RuntimeError: The size of tensor a (38) must match the size of tensor b (37) at non-singleton dimension 2 在运行test_center中d4 = self.decoder4(e4) + e3时，pycharm报错，请问有人知道原因吗？非常感谢

bai101315

where is the data.py

1

I can see the data augmentation in Readme. But I can‘t find the data.py in your fold.

Zzz512

it seems Unet in your code can outperform CE_Net in my training

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it seems Unet in your code can outperform CE_Net in my training. I directly used your code and retrained the Unet, I got a accuracy of [acc: 0.956 | sen:...

Dongshengjiang

wrong test

12

I run test_cenet.py, but i got the all black or all white mask. how can i solve this？ and i want to know where is your pretrained model? Thanks @Guzaiwang

cjtcn

HOW to get desired prediction?

7

i run the main.py, parameter is default,then run the test_cenet.py,but the prediction is not good,could you give me some suggestion?thank you very much! 

missbook520

Hello,could you upload your test.py

1

rurubaobao

request

12

Can you configure the environment for the next code? For example, torch version? Thank you

shabaojuan

预测时出现错误

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RuntimeError: Error(s) in loading state_dict for CE_Net_: Missing key(s) in state_dict: "firstconv.weight", "firstbn.weight", "firstbn.bias", "firstbn.running_mean", "firstbn.running_var", "encoder1.0.conv1.weight", "encoder1.0.bn1.weight", "encoder1.0.bn1.bias", "encoder1.0.bn1.running_mean", "encoder1.0.bn1.running_var", "encoder1.0.conv2.weight", "encoder1.0.bn2.weight", "encoder1.0.bn2.bias", "encoder1.0.bn2.running_mean", "encoder1.0.bn2.running_var", "encoder1.1.conv1.weight", "encoder1.1.bn1.weight", "encoder1.1.bn1.bias", "encoder1.1.bn1.running_mean",...

BRWZ

这里是不是和你的论文里的图有冲突啊

1

就是你代码里并没有第一层输出网络和后面的连接，但是你论文中的图却有，不知道是不是我没有看懂你的代码。  

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