Advertisement
Not a member of Pastebin yet?
Sign Up,
it unlocks many cool features!
- [jalal@goku example]$ python get_img_vec.py
- /scratch/sjn-p3/anaconda/anaconda3/lib/python3.6/importlib/_bootstrap.py:219: RuntimeWarning: numpy.dtype size changed, may indicate binary incompatibility. Expected 96, got 88
- return f(*args, **kwds)
- /scratch/sjn-p3/anaconda/anaconda3/lib/python3.6/importlib/_bootstrap.py:219: RuntimeWarning: numpy.dtype size changed, may indicate binary incompatibility. Expected 96, got 88
- return f(*args, **kwds)
- /scratch/sjn-p3/anaconda/anaconda3/lib/python3.6/importlib/_bootstrap.py:219: RuntimeWarning: numpy.dtype size changed, may indicate binary incompatibility. Expected 96, got 88
- return f(*args, **kwds)
- /scratch/sjn-p3/anaconda/anaconda3/lib/python3.6/importlib/_bootstrap.py:219: RuntimeWarning: numpy.dtype size changed, may indicate binary incompatibility. Expected 96, got 88
- return f(*args, **kwds)
- /scratch/sjn-p3/anaconda/anaconda3/lib/python3.6/site-packages/torchvision-0.2.1-py3.6.egg/torchvision/transforms/transforms.py:188: UserWarning: The use of the transforms.Scale transform is deprecated, please use transforms.Resize instead.
- Traceback (most recent call last):
- File "get_img_vec.py", line 18, in <module>
- vec = img2vec.get_vec(img)
- File "../img_to_vec.py", line 43, in get_vec
- h_x = self.model(image)
- File "/scratch/sjn-p3/anaconda/anaconda3/lib/python3.6/site-packages/torch/nn/modules/module.py", line 477, in __call__
- result = self.forward(*input, **kwargs)
- File "/scratch/sjn-p3/anaconda/anaconda3/lib/python3.6/site-packages/torchvision-0.2.1-py3.6.egg/torchvision/models/resnet.py", line 139, in forward
- File "/scratch/sjn-p3/anaconda/anaconda3/lib/python3.6/site-packages/torch/nn/modules/module.py", line 477, in __call__
- result = self.forward(*input, **kwargs)
- File "/scratch/sjn-p3/anaconda/anaconda3/lib/python3.6/site-packages/torch/nn/modules/conv.py", line 301, in forward
- self.padding, self.dilation, self.groups)
- RuntimeError: Given groups=1, weight of size [64, 3, 7, 7], expected input[1, 4, 224, 224] to have 3 channels, but got 4 channels instead
Advertisement
Add Comment
Please, Sign In to add comment
Advertisement