video transforms #1306
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video transforms #1306
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* Register torchvision ops * install ORT only with python 3 * remane lib + address other comments * fix lint * fix lib copy * find file with pattern instead of suffix * use relative path * revert rename and use imp to find lib * fix typo
* [WIP] Add CircleCI for CI * Make jobs only run on master * Add initial CI * [wip] testing if works * Trying some basic GPU tests * [WIP] maybe it will work? * [WIP] One more try * Pin versions * Simplify and reuse * Fix * [WIP] testing windows * [WIP] testing windows * Try windows * Try Windows * Try windows * Try windows * Try windows * Try windows * Try windows * Try windows * Windows speedup * Windows multicores * Add parallel flags for Windows * Skip some tests on Windows * Sync config.yml and config.yml.in * Regenerate * Run all tests * Limit python and cuda version for finding pytorch * Skip darwin for previous check * Add description * Fix logic * Remove space * Add CUDA test back * Add back .travis.yml for now and remove duplicate test * Add newline
* fix url * update comment
* Revert "Revert "Register Torchvision Ops as Cutom Ops (pytorch#1267)" (pytorch#1316)" This reverts commit fe234fc. * Make import of C++ extensions lazy * define python initialization functions for extension * Fix lint
* Make custom ops differentiable and replace autograd.Function. Use ops unconditionally. We may consider removing the extension functions in a follow-up. The code-path is tested by the exisitng tests for differentiability. * add scripting gradchecks tests and use intlist * fix implicit tuple conversion for gcc-5 * fix merge
* Adds optional fill colour to rotate * bug fix
use flake8 with Python 3 on .circleci directory
* Support Exporting GeneralizedRCNNTransform * refactor code to address comments * update tests * address comments * revert min_size to test CI * re-revert min_size
* Set block style serialization in yaml * Add new checkout command * Put on a different branch name
* Windows build scripts Add testing yaml * Change urls * Test MS agent * Switch base image * Use fb links
* Fix Windows CI * Use correct version
* Make AnchorGenerator support half precision * Add test for fasterrcnn with double * convert gt_boxes to right dtype
* Add Hub tests in torchvision * Run test_hub in its own interpreter
* Remove C++ extensions in favor of custom ops * Remove unused custom_ops.cpp file * Rename _custom_ops.py * Reorganize functions * Minor improvements and fixes * Fix lint * Fully scriptable ops * Import types used by annotations
…nto transforms_video
Codecov Report
@@ Coverage Diff @@
## master #1306 +/- ##
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Coverage ? 65.98%
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Files ? 77
Lines ? 5932
Branches ? 900
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Hits ? 3914
Misses ? 1746
Partials ? 272
Continue to review full report at Codecov.
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Merged
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Current PR is replaced with #1353 |
facebook-github-bot
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to facebookresearch/ClassyVision
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Oct 17, 2019
Summary: Pull Request resolved: #53 - We add video transforms in TorchVision: pytorch/vision#1306 - In ClassyVision, we add default transforms for training / test stage. Alternatively, user can also explicitly provide transform config in json config input. See an example in the unit test. - Video data transforms supports audio modality in the video dataset. - Compared with image transforms which only returns a torch.Tensor, video transforms return a dict where key is the modality name (e.g. {"video", "audio"}) and value is a torch.Tensor for the modality data. Reviewed By: taylorgordon20 Differential Revision: D16999453 fbshipit-source-id: 112b66a3965cba4201bbb12c99f3fdd2f1fce86f
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New features
Implement the following transforms for video clips
Unit test