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move parameter sampling of RandomPhotometricDistort into _get_params #7442

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merged 3 commits into from
Mar 22, 2023

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@pmeier pmeier commented Mar 22, 2023

This violated our requirement that parameters will only be sampled once. Meaning, without this PR, you will get multiple different distortions when passing multiple images.

cc @vfdev-5

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🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/vision/7442

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@@ -228,19 +228,22 @@ def __init__(

def _get_params(self, flat_inputs: List[Any]) -> Dict[str, Any]:
num_channels, *_ = query_chw(flat_inputs)
return dict(
zip(
["brightness", "contrast1", "saturation", "hue", "contrast2"],
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I'm not sure why we went for "contrast1" and "contrast2" before. Since we have the additional "contrast_before" flag, it is guaranteed, that they will never be applied at the same time. Meaning, there is no point in sampling them twice.

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Thanks Philip, LGTM.

We should try to remember to add such consistency tests to the V2 transforms tests

@pmeier pmeier merged commit 18a2e8e into pytorch:main Mar 22, 2023
@pmeier pmeier deleted the rng-RandomPhotometricDistort branch March 22, 2023 13:54
facebook-github-bot pushed a commit that referenced this pull request Mar 30, 2023
…t_params (#7442)

Reviewed By: vmoens

Differential Revision: D44416572

fbshipit-source-id: da21a5f8f85fa7959dc533f49f30db4f36a83515
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3 participants