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Hey first of all thanks for this great tutorial!
I have encountered this error while running the code:
#PyTorch Variables for images
im_batches = list(map(prep_image, loaded_ims, [inp_dim for x in range(len(imlist))]))
#List containing dimensions of original images
im_dim_list = [(x.shape[1], x.shape[0]) for x in loaded_ims]
im_dim_list = torch.FloatTensor(im_dim_list).repeat(1,2)
AttributeError Traceback (most recent call last)
in ()
----> 1 im_batches = list(map(prep_image, loaded_ims, [inp_dim for x in range(len(imlist))]))
2
3 #List containing dimensions of original images
4 im_dim_list = [(x.shape[1], x.shape[0]) for x in loaded_ims]
5 im_dim_list = torch.FloatTensor(im_dim_list).repeat(1,2)
1 frames
in letterbox_image(img, inp_dim)
1 def letterbox_image(img, inp_dim):
2 '''resize image with unchanged aspect ratio using padding'''
----> 3 img_w, img_h = img.shape[1], img.shape[0]
4 w, h = inp_dim
5 new_w = int(img_w * min(w/img_w, h/img_h))
AttributeError: 'NoneType' object has no attribute 'shape'
--------------------------------------------------------------------------------------------------------------How can this be resolved?
The text was updated successfully, but these errors were encountered:
You should double check if the loaded image has properly read the opencv image. I had the same error and when I checked it did not have the absolute path to read the image to make imlist and later loaded_ims.
Hey first of all thanks for this great tutorial!
I have encountered this error while running the code:
#PyTorch Variables for images
im_batches = list(map(prep_image, loaded_ims, [inp_dim for x in range(len(imlist))]))
#List containing dimensions of original images
im_dim_list = [(x.shape[1], x.shape[0]) for x in loaded_ims]
im_dim_list = torch.FloatTensor(im_dim_list).repeat(1,2)
AttributeError Traceback (most recent call last)
in ()
----> 1 im_batches = list(map(prep_image, loaded_ims, [inp_dim for x in range(len(imlist))]))
2
3 #List containing dimensions of original images
4 im_dim_list = [(x.shape[1], x.shape[0]) for x in loaded_ims]
5 im_dim_list = torch.FloatTensor(im_dim_list).repeat(1,2)
1 frames
in letterbox_image(img, inp_dim)
1 def letterbox_image(img, inp_dim):
2 '''resize image with unchanged aspect ratio using padding'''
----> 3 img_w, img_h = img.shape[1], img.shape[0]
4 w, h = inp_dim
5 new_w = int(img_w * min(w/img_w, h/img_h))
AttributeError: 'NoneType' object has no attribute 'shape'
--------------------------------------------------------------------------------------------------------------How can this be resolved?
The text was updated successfully, but these errors were encountered: