Hi, I stopped at the error message while executing demo.py
Traceback (most recent call last):
File "demo.py", line 231, in
x_hat, tran_hat, atp_hat, dehaze2= netG(input)
File "/home/dl/anaconda3/envs/dcpdn/lib/python3.6/site-packages/torch/nn/modules/module.py", line 357, in call
result = self.forward(*input, **kwargs)
File "/media/dl/A420F0F420F0CE74/jx/DCPDN/dehaze22.py", line 565, in forward
tran=self.tran_dense(x)
File "/home/dl/anaconda3/envs/dcpdn/lib/python3.6/site-packages/torch/nn/modules/module.py", line 357, in call
result = self.forward(*input, **kwargs)
File "/media/dl/A420F0F420F0CE74/jx/DCPDN/dehaze22.py", line 470, in forward
x0=self.pool0(self.relu0(self.norm0(self.conv0(x))))
File "/home/dl/anaconda3/envs/dcpdn/lib/python3.6/site-packages/torch/nn/modules/module.py", line 357, in call
result = self.forward(*input, **kwargs)
File "/home/dl/anaconda3/envs/dcpdn/lib/python3.6/site-packages/torch/nn/modules/conv.py", line 282, in forward
self.padding, self.dilation, self.groups)
File "/home/dl/anaconda3/envs/dcpdn/lib/python3.6/site-packages/torch/nn/functional.py", line 90, in conv2d
return f(input, weight, bias)
RuntimeError: Given groups=1, weight[64, 3, 7, 7], so expected input[1, 4, 497, 513] to have 3 channels, but got 4 channels instead
can you help me solve this
thanks for reading
hezhangsprinter
