Specifying the output size in transforms.GaussianBlur

[talcs]

📚 The doc issue

The transforms.GaussianBlur constructor takes kernel_size as a parameter. However, it isn't specified whether the convolution will use padding to keep the output image in the same dimension as the input. I think it should be mentioned. Maintaining the original input size is crucial in many cases, like object detection or segmentation, where the GT refers to certain pixels.

Suggest a potential alternative/fix

No response

[NicolasHug]

Thanks for the report @talcs . GaussianBlur will indeed use padding:

vision/torchvision/transforms/v2/functional/_misc.py

Line 152 in 806dba6

output = torch_pad(output, padding, mode="reflect")

If you're interested, we'd be happy to review a PR from you to clarify that in the docstring

[Bhavay-2001]

Hi @NicolasHug, I would be happy to work on this issue. Is it open for beginners?
Thanks

[NicolasHug]

Thanks for your interest @Bhavay-2001 , but this has been taken care of in #8246 already.

[Bhavay-2001]

Hi @NicolasHug, is there any other issue that I can contribute to?
Thanks