pytorch
Fix Missing Labels in FER2013 Dataset #8118
In the current implementation, labels are not provided for test split.
The FER2013 dataset provides labels for both training and testing in the icml_face_data.csv file.
This pull request reads the data from the icml_face_data.csv instead, providing labels for both the train and test splits.
:link: Helpful Links
:test_tube: See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/vision/8368
- :page_facing_up: Preview Python docs built from this PR
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:x: 3 New Failures
As of commit e0a702da92c374e1b4c52cbc3b9f73c032c35913 with merge base 5181a854d8b127cf465cd22a67c1b5aaf6ccae05 (
NEW FAILURES - The following jobs have failed:
- Build Windows Conda / pytorch/vision / upload / conda-py3_8-cpu (gh)
Unable to find an artifact with the name: pytorch_vision__3.8_cpu_ - Lint / python-source-and-configs / linux-job (gh)
RuntimeError: Command docker exec -t f523634b115c92bd5161eea17076334e37803db0a094f151803d340ffd09dc2a /exec failed with exit code 1 - Lint / python-types / linux-job (gh)
RuntimeError: Command docker exec -t 9873dadb74de790f7e9b2b8bd18fe087ca35a70667913224b1d081538672fdb6 /exec failed with exit code 1
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Hi @NSalberg!
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Thanks for the PR @NSalberg , I followed-up and made the requested changes in https://github.com/pytorch/vision/pull/8452
