1 | initial version |
your "blob" is a 4d tensor, containing 3 seperate grayscale channel images,
print(blob.shape)
(1, 3, 300, 300)
so you need to reshape it like this:
# a horizontal strip with 3 one-channel images.
blobb = blob.reshape(blob.shape[2] * blob.shape[1], blob.shape[3], 1)
print(blobb.shape)
(900, 300, 1)
2 | No.2 Revision |
your "blob" is a 4d tensor, containing 3 seperate grayscale channel images,
print(blob.shape)
(1, 3, 300, 300)
so you need to reshape it like this:this, for visualization:
# a horizontal strip with 3 one-channel images.
blobb = blob.reshape(blob.shape[2] * blob.shape[1], blob.shape[3], 1)
print(blobb.shape)
(900, 300, 1)