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facebookresearch / ClassyVision

An end-to-end PyTorch framework for image and video classification
https://classyvision.ai
MIT License
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Implement resize and train XRayVideo A/V with only resizing #796

Open arjish opened 2 years ago

arjish commented 2 years ago

Summary: We want to check whether training XRayVideo with simply video resizing (in addition to other existing transformation like horizontal flipping and normalization) without random corp is sufficient.

The resize dimension is used as 224*224.

workflow: f362077622 (Note: in the workflow fcc_mvit_dataset_v4p2_arkc.yaml is used which I renamed to fcc_mvit_dataset_v4p2_onlyresize.yaml in this diff.)

As can be seen, the validation MAP goes to around .422 as opposed to 0.46 when random resized crop is used (f355567669) and rest of the configuration is kept the same. Hence, it is better to keep random resized crop.

Differential Revision: D38522980

facebook-github-bot commented 2 years ago

This pull request was exported from Phabricator. Differential Revision: D38522980

facebook-github-bot commented 2 years ago

This pull request was exported from Phabricator. Differential Revision: D38522980

facebook-github-bot commented 2 years ago

This pull request was exported from Phabricator. Differential Revision: D38522980