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Improved RandomShortestSize Functionality #8684
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Implement integer support for RandomShortestSize: randomly select a size between the provided integer minimum and the minimum of width and height
🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/vision/8684
Note: Links to docs will display an error until the docs builds have been completed. This comment was automatically generated by Dr. CI and updates every 15 minutes. |
Hi @MalumaDev! Thank you for your pull request and welcome to our community. Action RequiredIn order to merge any pull request (code, docs, etc.), we require contributors to sign our Contributor License Agreement, and we don't seem to have one on file for you. ProcessIn order for us to review and merge your suggested changes, please sign at https://code.facebook.com/cla. If you are contributing on behalf of someone else (eg your employer), the individual CLA may not be sufficient and your employer may need to sign the corporate CLA. Once the CLA is signed, our tooling will perform checks and validations. Afterwards, the pull request will be tagged with If you have received this in error or have any questions, please contact us at [email protected]. Thanks! |
Thanks for the RP @MalumaDev . Can you share more details - why is this something you need? |
The current behavior, where passing an integer results in the same transformation, is counterintuitive and inconsistent with the Random element of the function name. By introducing integer support, we can achieve more flexible and versatile image resizing based on random dimensions within the specified range. Expected Behavior: In this way, it provides more control over image resizing by allowing for random variations within a defined range. |
Implement integer support for RandomShortestSize: randomly select a size between the provided integer minimum and the minimum of width and height