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Support encoded RLE format in for COCO segmentations #8387

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merged 3 commits into from
Jun 4, 2024

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@NicolasHug NicolasHug commented Apr 19, 2024

Closes #8351

This lets our COCO wrapper support segmentations that are already in "encoded RLE" format.

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pytorch-bot bot commented Apr 19, 2024

🔗 Helpful Links

🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/vision/8387

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❌ 11 New Failures, 8 Unrelated Failures

As of commit 2f7c1a5 with merge base 26af015 (image):

NEW FAILURES - The following jobs have failed:

FLAKY - The following jobs failed but were likely due to flakiness present on trunk:

BROKEN TRUNK - The following jobs failed but were present on the merge base:

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

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@@ -832,11 +846,27 @@ def test_slice_error(self):
with pytest.raises(ValueError, match="Index must be of type integer"):
dataset[:2]

def test_segmentation_kind(self):
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Really not a fan of that test's logic, but I don't know how to better test that. @pmeier LMK if there are better options?

@NicolasHug NicolasHug merged commit f7d9e75 into pytorch:main Jun 4, 2024
42 of 63 checks passed
@NicolasHug NicolasHug deleted the aelfjnalefjnaef branch June 4, 2024 12:01
facebook-github-bot pushed a commit that referenced this pull request Jun 7, 2024
Reviewed By: vmoens

Differential Revision: D58283856

fbshipit-source-id: 98805162e3209173811108468037ea490d123082
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support compact/encoded RLE masks in COCO dataset wrapper
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