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?
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)