@deepak_k wrote:
Hi guys I need one help.
I am currently working on one image data set where images are of different shape. i have iterate the folder and save the multiple arrays in a list.E.g - Automobile has 25 images
automobile = []
for filename in glob.glob('C:/Automobile/*.jpg')
im=imread(filename, flatten=True)
im=im.astype('float32')
automobile.append(im)automobile[1].shape
(995, 885, 3)
automobile[25].shape
(1439, 726, 3)Shape size is different for each image. i need to stack this in numpy using
np.stack(automobile) but its throwing error because each image size is different.Please let me know how to handle such scenario in image classification
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