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Add GaussianNoise #8381

Merged
merged 6 commits into from
May 31, 2024
Merged

Add GaussianNoise #8381

merged 6 commits into from
May 31, 2024

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Richienb
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@Richienb Richienb commented Apr 17, 2024

Fixes #6192
Fixes #6233

cc @vfdev-5

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pytorch-bot bot commented Apr 17, 2024

🔗 Helpful Links

🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/vision/8381

Note: Links to docs will display an error until the docs builds have been completed.

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👉 Rebase onto the `viable/strict` branch to avoid these failures

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clip (bool, optional): Whether to clip the values in ``[0, 1]`` after adding noise. Default is True.
"""

def __init__(self, mean: float = 0.0, sigma: float = 0.1, clip=True) -> None:
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I think sigma (σ) should instead be called var for "variance". For example, mean is not called mu (μ).

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That's fair @Richienb , I can't claim mean and sigma are the best name combination, but unfortunately for consistency this is probably what we'll need to use, as these are the names that are already used by GaussianBlur.

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Ok, let's save this for a future breaking change.

@NicolasHug NicolasHug marked this pull request as ready for review May 31, 2024 09:37
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Thanks for the PR @Richienb , as you've seen I've made a few changes to the original implementation, but this LGTM now. In particular the transform enforces tensors with float dtype (PIL isn't supported). We might add support for that later but that would require a dtype conversion to avoid over/underflows, so it's best to treat it separately. Thank you again for the PR!

@NicolasHug NicolasHug merged commit 6e18cea into pytorch:main May 31, 2024
60 of 79 checks passed
facebook-github-bot pushed a commit that referenced this pull request Jun 7, 2024
Summary: Co-authored-by: Nicolas Hug <[email protected]>

Reviewed By: vmoens

Differential Revision: D58283845

fbshipit-source-id: e3cadf800c582383a28b9e097263084a9aa40364
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Add Gaussian noise transformation
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