Error occurred when I replace the image in sRGB

[huizeng]

Error occurred when I replace the image in sRGB

[BeyondHeaven]

Image must be resized to (1080, 1620)

[zhanghongyong123456]

Hi, I tested it successfully with the original image(a duck eating grass). But when I replace it with another jpg image, an error occurred:

Traceback (most recent call last):
File "demo_eval.py", line 86, in
LUT = generate_LUT(img)
File "demo_eval.py", line 66, in generate_LUT
pred = classifier(img).squeeze()
File "/opt/conda/lib/python3.7/site-packages/torch/nn/modules/module.py", line 722, in _call_impl
result = self.forward(*input, **kwargs)
File "/dockerdata/ruodai1/Image-Adaptive-3DLUT/models_x.py", line 99, in forward
return self.model(img_input)
File "/opt/conda/lib/python3.7/site-packages/torch/nn/modules/module.py", line 722, in _call_impl
result = self.forward(*input, **kwargs)
File "/opt/conda/lib/python3.7/site-packages/torch/nn/modules/container.py", line 117, in forward
input = module(input)
File "/opt/conda/lib/python3.7/site-packages/torch/nn/modules/module.py", line 722, in _call_impl
result = self.forward(*input, **kwargs)
File "/opt/conda/lib/python3.7/site-packages/torch/nn/modules/conv.py", line 419, in forward
return self._conv_forward(input, self.weight)
File "/opt/conda/lib/python3.7/site-packages/torch/nn/modules/conv.py", line 416, in _conv_forward
self.padding, self.dilation, self.groups)
RuntimeError: Given groups=1, weight of size [16, 3, 3, 3], expected input[1, 4, 256, 256] to have 3 channels, but got 4 channels instead

I use the snipper in windows to get this image and save it in jpg format. Is there anything wrong? Thanks!

windows setup trilinear_cpp error