Fixed Caltech-101 and Caltech-256 broken links with the official ones

[hrsvrn]

Context

With reference to PR #9192

Issue

The google drive links are broken and does not download

How to use?

import torchvision
import torchvision.transforms as transforms

transform = transforms.Compose([
    transforms.Resize((224, 224)), # Resize to a common size for pre-trained models
    transforms.ToTensor(),         # Convert image to a tensor
    transforms.Normalize(mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225]) # Normalize
])


caltech101_dataset = torchvision.datasets.Caltech101(
    root='./data',        # Directory to store the dataset
    download=True,      # Set to True to download if not already present
    transform=transform # Apply the defined transformations
)

caltech256_dataset = torchvision.datasets.Caltech256(
    root='./data',        # Directory to store the dataset
    download=True,      # Set to True to download if not already present
    transform=transform # Apply the defined transformations
)

Fix

Replaced the deadlinks with the official CalTech Repository site downloads and made sure that the data downloading is fixed accordingly

[pytorch-bot]

🔗 Helpful Links

🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/vision/9205

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✅ You can merge normally! (1 Unrelated Failure)

As of commit 3bb37f4 with merge base 7bd8066 ():

BROKEN TRUNK - The following job failed but were present on the merge base:

👉 Rebase onto the `viable/strict` branch to avoid these failures

• CMake / windows (windows.g5.4xlarge.nvidia.gpu, cuda, 12.6) / windows-job (gh) (trunk failure)
  Process completed with exit code 1.

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[AntoineSimoulin]

Should we re-use the code from other datasets? For instance in "mnist.py" to extract all possible subdirectories?

for gzip_file in os.listdir(gzip_folder):
    if gzip_file.endswith(".gz"):
        extract_archive(os.path.join(gzip_folder, gzip_file), self.raw_folder)
    shutil.rmtree(gzip_folder)

[hrsvrn]

Yes that works as well.. I will change this one :)

[AntoineSimoulin]

I realize we have two proposed fixes and issues for this issue #9097 is raising a similar issue and #9098 is implementing a similar fix.

[hrsvrn]

Should i still work on this or not?

[hrsvrn]

@AntoineSimoulin any updates on this one?

[JonasKlotz]

Hey @hrsvrn
@AntoineSimoulin asked whether if it is ok for me if we use your code instead, see my PR #9098 .
I am fine with it, your code looks good so far! I don't know how to officially review it!

[AntoineSimoulin]

@hrsvrn yes please let's make it to the finish line for this PR! I just adjusted the linting but I think we are pretty close now! @JonasKlotz I will credit you when merging this PR to acknowledge your suggested changes in #9098!

[hrsvrn]

Hey @AntoineSimoulin and @JonasKlotz

sorry for the late reply.
Its totally okay to use my code..
You can merge the PR :)

[github-actions]

Hey @AntoineSimoulin!

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