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There is a RuntimeError getting raised because apparently the code is not able to find the images of ImageNet.
The error is raised when calling ImageFolder class, from within imagenetloader.py, specifically, inside the object ImageNetLoader30. Upon having a closer look at ImageNetLoader30, I found the following line: samples_30 = make_dataset(path+'images/{}'.format(subfolder), classes_30, class_to_idx_30),
where path = './data/datasets/ImageNet', and subfolder = 'train'.
And when viewing samples_30 after this line, I get nothing but an empty array.
That's why when ImageFolder is called with this empty array as shown in the following line dataset = ImageFolder(transform=transform, samples=samples_30)
, it prompts the mentioned error.
Does that mean that in the path directory, we should manually create a folder called train (possibly for testing and validation too) and populate it with the images belonging to the categories described by the WNIDs?
I thought that that would be done automatically as part of the pipeline but as the error is getting raised, maybe it is not?
Thank you in advance.
Ahmad
The text was updated successfully, but these errors were encountered:
Hi,
The ImageNet dataset folder is organized as follow.
ImageNet/imagenet_rand118 #downloaded by the command provided
ImageNet/images/train #standard ImageNet training split
ImageNet/images/val #standard ImageNet validation split
The has been included in the updated README.
Thank you for the code.
There is a RuntimeError getting raised because apparently the code is not able to find the images of ImageNet.
The error is raised when calling ImageFolder class, from within imagenetloader.py, specifically, inside the object ImageNetLoader30. Upon having a closer look at ImageNetLoader30, I found the following line:
samples_30 = make_dataset(path+'images/{}'.format(subfolder), classes_30, class_to_idx_30)
,where path = './data/datasets/ImageNet', and subfolder = 'train'.
And when viewing samples_30 after this line, I get nothing but an empty array.
That's why when ImageFolder is called with this empty array as shown in the following line
dataset = ImageFolder(transform=transform, samples=samples_30)
, it prompts the mentioned error.
Does that mean that in the path directory, we should manually create a folder called train (possibly for testing and validation too) and populate it with the images belonging to the categories described by the WNIDs?
I thought that that would be done automatically as part of the pipeline but as the error is getting raised, maybe it is not?
Thank you in advance.
Ahmad
The text was updated successfully, but these errors were encountered: