expanding dimension to solve the dimension incompatibility#86
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TinSn50 wants to merge 1 commit intobnsreenu:masterfrom
Open
expanding dimension to solve the dimension incompatibility#86TinSn50 wants to merge 1 commit intobnsreenu:masterfrom
TinSn50 wants to merge 1 commit intobnsreenu:masterfrom
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Solving value error in code block 55:
---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
<ipython-input-55-9020ca8664fe> in <cell line: 25>()
23 #inputs = processor(single_patch, return_tensors="pt")
24 #Now try with bounding boxes. Remember to uncomment.
---> 25 inputs = processor(single_patch, input_points=input_points, return_tensors="pt")
26
27 # Move the input tensor to the GPU if it's not already there
5 frames
/usr/local/lib/python3.10/dist-packages/transformers/image_utils.py in infer_channel_dimension_format(image, num_channels)
198 first_dim, last_dim = 1, 3
199 else:
--> 200 raise ValueError(f"Unsupported number of image dimensions: {image.ndim}")
201
202 if image.shape[first_dim] in num_channels:
ValueError: Unsupported number of image dimensions: 2
|
pip install transformers==4.36.2 可以解决这个问题 |
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Solving value error in code block 55:
ValueError Traceback (most recent call last)
in <cell line: 25>()
23 #inputs = processor(single_patch, return_tensors="pt")
24 #Now try with bounding boxes. Remember to uncomment.
---> 25 inputs = processor(single_patch, input_points=input_points, return_tensors="pt")
26
27 # Move the input tensor to the GPU if it's not already there
5 frames
/usr/local/lib/python3.10/dist-packages/transformers/image_utils.py in infer_channel_dimension_format(image, num_channels)
198 first_dim, last_dim = 1, 3
199 else:
--> 200 raise ValueError(f"Unsupported number of image dimensions: {image.ndim}")
201
202 if image.shape[first_dim] in num_channels:
ValueError: Unsupported number of image dimensions: 2