* Syncing staging <> master branches (#476)
* Removed submodules.
* Add back submodules using https://
* 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
* 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)
* 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
* 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.
* Update data path.
* 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
* Add annotation tool to scenarios.
* Plot keypoints as round dots to make them noticeable (#458)
* Plot keypoints as dots
* Change variable naming
* 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)
* clean up of keypoint detection notebook
* minor clean-up
* remove conflict code (#471)
* Update README.md (#472)
* updated readmes
* added images
* updated readmes
* added intro figure
* modified new picture
* update figure
* Move to bare Windows GPU VMs and fix build issues (#475)
* Updating AzureDevOps pipeline agent pool to use a barebones Windows GPU VM.
* Added a AzureDevOps pipeline for windows.
* Added a conda init step for powershell.
* Adding conda to PATH as a separate step
* Pinning pillow to 6.1 to fix issues listed in: https://github.com/python-pillow/Pillow/issues/4130
* chained powershell commands
* Updated AzureDevOps yml file to use the inline powershell script syntax.
* Moved to using inline commands + Invoke-Expression syntax
* Adding indentation for chained commands.
* Moving to the literal block style indicator for yaml for chained commands.
* Using call activate instead of source activate when activating the conda environment through powershell.
* Switching to script steps instead of using powershell steps for conda operations.
* Fixed the numpy.float64 issue by moving to a fork with the upstream fixes for the issue.
* Fixed the numpy.float64 issue in utils/cv/detection/plot.py
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>
Co-authored-by: JS <jiata@microsoft.com>
* fix to load from saved mask-rcnn model
* fix to load from saved mask-rcnn model
* fix to load from saved mask-rcnn model
Co-authored-by: Young Park <youngpark@cs.stanford.edu>
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>
Co-authored-by: JS <jiata@microsoft.com>
* update gitignore
* updates to utils for loading data
* train_test_split_function
* update 01, 02 notebook
* show batch, new notebook
* updates to show batch
* added graph for fit
* notebooks and testS
* refactor
* dataset tests
* dataset tests
* flake8
* black
* test update
* 01_training update
* round deci
* transform notebook
* remove blackmagic cell'
* working state
* working state with webcam
* flake8 and black'
* update jupyter notebooks
* notebook updates
* fixes to pr comments
* minor fix
* update 02 hmdb notebook
* update 02 hmdb notebook
* 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>
* Updating AzureDevOps pipeline agent pool to use a barebones Windows GPU VM.
* Added a AzureDevOps pipeline for windows.
* Added a conda init step for powershell.
* Adding conda to PATH as a separate step
* Pinning pillow to 6.1 to fix issues listed in: https://github.com/python-pillow/Pillow/issues/4130
* chained powershell commands
* Updated AzureDevOps yml file to use the inline powershell script syntax.
* Moved to using inline commands + Invoke-Expression syntax
* Adding indentation for chained commands.
* Moving to the literal block style indicator for yaml for chained commands.
* Using call activate instead of source activate when activating the conda environment through powershell.
* Switching to script steps instead of using powershell steps for conda operations.
* Fixed the numpy.float64 issue by moving to a fork with the upstream fixes for the issue.
* Fixed the numpy.float64 issue in utils/cv/detection/plot.py
* 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
code-review-doctor
PatrickBue
Bill Xue
Karine Ip
Liqun Shao
Casey Hong
JS
Sharat Chikkerur
Fidan Boylu Uz, PhD
angusrtaylor
Young Park
Simon Zhao
Lixun Zhang