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* Removed submodules. * Add back submodules using https:// * Update FAQ.md * added object detection readme * fixes to ic (#437) * fixes to ic * Matplotlib bug fix * Matplotlib matrix plot bug fix * Fix 01 notebook heatmap * revert env * revert env yml * remove matplotlib * simplified plotting functions * fixed most tests * fixed test * fixed unit test * small text edits to the 02 notebook * added fct description * tiny cleanup on notebook * Move r2p1d from contrib to scenarios. * Update .gitignore. * Add README.md * Remove the folder /scenario/action_recognition/data/samples; update notebook to use web url for sample data. * Move data split files to data/misc; update notebook accordingly. * Add pretrained keypoint model (#453) * Add pretrained keypoint model * Fix bugs in tests * Add 03 notebook in conftest.py * Minor revision * Reformat code using black * if folder exists, remove (#448) * Update data path. * Add mask annotation tool (#447) * Add mask annotation tool * Update mask annotation explanation and add converion scripts * Add screenshots of Labelbox annotation * Rearrange screenshots * Move convertion script into functions in data.py * Point out annotation conversion scripts clearly in notebook * Refine annotation conversion scripts * Fix bugs * Add tests for labelbox format conversion methods * Update README.md * Add keypoint detection with tuned model (#454) * Add keypoint detetion with tuned model * Add tests * Minor revision * Update tests * Fix bugs in tests * Use GPU device if available * Update tests * Fix bug: 'not idx' will be 'True' if 'idx=0' * Fix bugs * Move toy keypoint meta into notebook * Fix bugs * Fix bugs * Fix bugs in notebook * Add descriptions for keypoint meta data * Raise exception when RandomHorizontalFlip is used without specifying hflip_inds * Add NOTICE file. * Add keypoint detection model tuning with top and bottom keypoints (#456) * Add keypoint detection model tuning with top and bottom keypoints * Fix undefined unzip_url * Resolved undefined od_urls * Plot keypoints as round dots to make them noticeable (#458) * Plot keypoints as dots * Change variable naming * Add annotation tool to scenarios. * Resolve test machine failure (#460) This is due to the latest PyTorch (version 1.3) from conda is built on CUDA 10.1 while the version on the test machine is CUDA 10.0. * Remove unused imports in 02_mask_rcnn.ipynb (#463) * Remove unused imports in 02_mask_rcnn.ipynb * Add missing imports * Simplify binary_mask() (#464) * remove conflict code (#471) * Update README.md (#472) * unit test for action rec * reformat files * added 01/02 notebooks * fix all unit tests + abstract out commons from action rec * dataset * test data * black reformat * refactor action rec * ignore /data * notebook update * update gitignore * manage transforms better * tfms_config defaults * video dataset refactor + black * notebook update with video datsaet refactored out * Refactor model/dataset * clean up * refactor + beautification * re-run 02 notebook * make tests work locally * pr fixes * PR fixes * pr fixes * pr fixes * update env * pr fix * move decord to pip * added ref to config * update pr fix * flake8 + pr bug Co-authored-by: Lixun Zhang <lixun.zhang@microsoft.com> Co-authored-by: Lixun <lixzhang@users.noreply.github.com> Co-authored-by: PatrickBue <pabuehle@microsoft.com> Co-authored-by: Simon Zhao <43029286+simonzhaoms@users.noreply.github.com> Co-authored-by: Miguel González-Fierro <3491412+miguelgfierro@users.noreply.github.com> |
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| test_azureml_notebooks.py | ||