Nicolas Hug

Thanks for the report @danielgordon10 . This area of the transforms isn't actively developed / maintained anymore. We are now supporting the `torchvision.transforms.v2` namespace. Can you please clarify whether you're...

Thanks for the PR, CI has been disabled so I can't validate the changes for now - feel free to ping again in a few days. Out of curiosity though,...

Thanks for the report @MKlmt . We'll be consolidating the video decoding/encoding efforts of pytorch within the https://github.com/pytorch/torchcodec/ repo. Torchcodec doesn't support writing videos yet, but that's in scope. That...

Thanks for the report @lxr2 , and @venkatram-dev for the help. Just to summarize: this isn't a v1 vs v2 issue. This is a difference in behavior between the PIL...

Thanks for the report @seymurkafkas . > I think it's due to multiplication using numpy primitives rather than torch (and also astype instead of torch.Tensor.byte()) Ah, if that's the case...

Thanks for replying! Just so you know and if that's helpful, you may be able to use the `encode_jpeg()` or `encode_png()` utilities of torchvision! https://pytorch.org/vision/stable/io.html#image-encoding

Thanks for opening the issue @david-csnmedia . I'm happy for you to open a PR and see if the tests are passing

Hi @efahnestock , thanks for the report. I'm not sure I'll be able to prioritize this bugfix right now, but if you have a simple-enough fix I'm happy to review...

Hi @david-csnmedia , that kind of model surgery is probably too specific to each model for it to be reliably implemented within `get_model()`. Note that some model builders allow `num_classes`...

Hi @tsahiasher , can you provide a minimal reproducing example of the issue you are mentioning?