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Added binary cat vs dog classification target type to Oxford pet dataset #8388
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🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/vision/8388
Note: Links to docs will display an error until the docs builds have been completed. ❌ 17 New Failures, 20 Unrelated FailuresAs of commit 10c2015 with merge base ff31b6e (): 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 job failed but were present on the merge base:👉 Rebase onto the `viable/strict` branch to avoid these failures
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Thanks for the PR @matlabninja , this LGTM. There seem to be one minor lint issue (see below). I wasn't able to push the changes directly as the PR was created from your main
branch on your fork.
lint issue should be fixed. Tests are passing locally, let's wait for the CI and I'll merge the PR
Thanks for closing @NicolasHug! |
… pet dataset (#8388) Reviewed By: vmoens Differential Revision: D57099465 fbshipit-source-id: 4bd587ee4ac6fea210ea412a1a6c7c1b81e6ea36 Co-authored-by: Nicolas Hug <nh.nicolas.hug@gmail.com> Co-authored-by: Nicolas Hug <contact@nicolas-hug.com>
Added "binary-category" as a target type to the Oxford pet dataset. Uses the second numeric input in the annotation to get the species and outputs 0 for cat and 1 for dog. Discussed in #8364 . Notebook showing this in action can be found here