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Hello
I was wondering what the rational is for using 3x3 convolutions as opposed to 1x1 convolutions in the output layer. As far as i know, the original U-net paper uses 1x1 sigmoid/softmax neurons…
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warnings.warn("pyprof will be removed by the end of June, 2022", FutureWarning)
Traceback (most recent call last):
File "D:/WorkSpace/PythonWorkSpace/change_detection/test.py", line 60, in
y…
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Given transposed=1, weight of size [256, 128, 2, 2], expected input[1, 64, 128, 128] to have 256 channels, but got 64 channels instead
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network = Generic_UNetPlusPlus(num_input_channels, base_num_f…
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Hello, thank you for your code.
When I run your code, I get some errors.
In models.py, DEFAULT_SKIP_CONNECTIONS cannot access from the segmentation_models.unet.model.
So how can I solve it?
Warm …
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I have some problems on building Xnet.
in segmentation_models/xnet/blocks.py : 38
x = Concatenate(name=merge_name)([x, skip])
in merge_name="merge2-2",
variables: skip is a Tenso…
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Hi,
Thanks for the PyTorch implementation. It is really good. However, I've ran into some issues. While exporting using torch.onnx, I am getting an error. The code is as follows:
```
model = Effi…
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**Is your feature request related to a problem? Please describe.**
follow up of discussion https://github.com/Project-MONAI/MONAI/discussions/6641
would be great to add input spatial size vs model…
wyli updated
8 months ago
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Dear [jacobgil],I trained an model like unet++ with 4 outputs,some codes are shown like below,I use :
target_layers = [model.final4]
with GradCAM(model=model, target_layers=target_layers, use_cuda…
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Hi @MrGiovanni ,thank you for sharing your code.
I have a question about the implement of the Deep supervision structure. In the paper, you said that the final output of the model is the average of …