Hello World, I'm Sarthak ๐
- ๐ญ Iโm currently working on making ML models more robust
- ๐ Pronouns: He/Him
Pytorch implementation of GCN architecture for semantic segmentation
License: MIT License
Hi,
from data_loader import LungSeg
from data_loader import LungSegTest
cannot find data_loader.py
could you please update the code, thanks!
def forward(self,x):
# x_res = self.bn(x)
# x_res = self.relu(x_res)
x_res = self.conv1(x_res)
# x_res = self.bn(x_res)
x_res = self.relu(x_res)
x_res = self.conv2(x_res)
x = x + x_res
return x
In the method forward of class BR, the x_res is not declared before reference.
The author commented out the update of the learning rate, why?
thank u sir
The argument list of bottleneck_GCN
is (m, c, k)
, but you feed (self.inplanes, planes, stride, downsample)
to it in ResNet50_GCN.py line 78
. Do I misunderstand the code?
hi,
when i run the 'train_model.py', some file named 'cp.pth' is needed at line 74, how to get that file? By the way, if i comment this line, i got another error as below:
Traceback (most recent call last):
File "train_model.py", line 139, in
train()
File "train_model.py", line 105, in train
outputs = net(images)
File "/usr/local/lib/python3.5/dist-packages/torch/nn/modules/module.py", line 477, in call
result = self.forward(*input, **kwargs)
File "/home/long/Downloads//Global_Convolutional_Network-master/build_model.py", line 97, in forward
gc_fm1 = self.br1(self.gcn1(fm1))
File "/usr/local/lib/python3.5/dist-packages/torch/nn/modules/module.py", line 477, in call
result = self.forward(*input, **kwargs)
File "/home/long/Downloads//Global_Convolutional_Network-master/build_model.py", line 18, in forward
x_l = self.conv_l1(x)
File "/usr/local/lib/python3.5/dist-packages/torch/nn/modules/module.py", line 477, in call
result = self.forward(*input, **kwargs)
File "/usr/local/lib/python3.5/dist-packages/torch/nn/modules/conv.py", line 301, in forward
self.padding, self.dilation, self.groups)
TypeError: 'float' object cannot be interpreted as an integer
didn't figure it out, thank you for your help
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