Comments (1)
doboncho
commented on August 26, 2024
I change
net = DnCNN(channels=3, num_of_layers=opt.num_of_layers)
in train.py.
But, below RuntimeErrot occured. Why?
RuntimeError: Given groups=1, weight of size [64, 3, 3, 3], expected input[128, 1, 40, 40] to have 3 channels, but got 1 channels instead
train and valid images are color images, off course.
from dncnn-pytorch.
Related Issues (12)
- Testing DnCNN on CPU HOT 1
- h5py wrong HOT 1
- Implementation may be wrong HOT 3
- About the residual strategy HOT 1
- FFDNet in PyTorch HOT 3
- AttributeError: 'Variable' object has no attribute 'item' HOT 2
- 关于残差与loss function问题 HOT 1
- Can only process grayscale images? HOT 1
- Torch not compiled with CUDA enabled
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- make my own dataset
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from dncnn-pytorch.