Specifying the output size in transforms.GaussianBlur
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Description
📚 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
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Research direction
Start with the transforms.GaussianBlur API documentation and its kernel_size description; verify the documented output dimensions against the transform behavior. Done means the documentation explicitly states whether padding preserves the input dimensions.
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Assessment
- Tech stack
- python
- Domain
- computer-vision, documentation
- Issue type
- Documentation
- Difficulty
- 2/5
- Estimated time
- 1-3 hours
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 48/100