Pad if needed when using TenCrop and FiveCrop
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- Dominant language
- Python
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Description
When using TenCrop and FiveCrop, if the source image is smaller than the aimed crop size, there will be an error like ValueError: Requested crop size (256, 256) is bigger than input size (320, 240).
Can you pad the image if needed, just as what torchvision.transforms.RandomCrop do?
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by locating the TenCrop and FiveCrop implementations and compare their behavior with the mentioned torchvision.transforms.RandomCrop behavior. Verify the failure using a source image smaller than the requested crop size, then confirm that both transforms pad as needed and produce the expected crops.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- computer-vision
- Issue type
- Bug
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 38/100