* Added notebook for deploying a fine-tuned resnet18 CNN model using AzureML that builds on the html_demo notebooks with a custom scoring script that saves the features in the intermediate layers and returns them in JSON format. Also added fix to script.js to support image similarity scenarios.
* Updated readme
* Fixed typo in readme
* Addressed PR comment - removed link in notebook.
* Addressing PR comments: Added descriptions for the notebook and updated its name.
* Addressed PR comment: Made DATA_PATH point to the returned value from unzip_url using our fridge_objects dataset so that the user can just run the notebook.
* HTML Demo initial upload
* Updated UI code to run from Blob images
* Final UI changes
* Removed separate references
* Added notebook for deploying to app service. Updated readmes for JupyterCode and root directory.
* Notebook updates
* Update blob storage links
* Update readme.md
* Renamed notebook 30 to 3. Added ../../.. to the path so it will work in its new directory. Removed the log stream commands, as they do not work on all plans. Fixed some typos throughout.
* Updated notebooks to reflect new paths and names
* update screenshot
* Update readme.md
* update jpgs screenshot
* Update readme.md
* Update readme.md
* Update readme.md
* Update readme.md
* Update readme.md
* Update readme.md
* Update readme.md
* Update readme.md
* Update readme.md
* Update readme.md
* Update readme.md
* Update readme.md
* Update readme.md
* Update readme.md
* Updated readme
* Update JupyterCode readme some more
* Update readme
* Minor tweaks to readmes
* Added about tab
* Update readme.md
* Update readme.md
* Update readme.md
* Update readme.md
* Fix broken link
Co-authored-by: Charles Henneberger <cihen@bu.edu>
Co-authored-by: primnp <51148602+primnp@users.noreply.github.com>
Co-authored-by: Prim P <p.nuwapa@gmail.com>
Co-authored-by: mullaa <48615903+mullaa@users.noreply.github.com>
* 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
John Ehrlinger
Kebei Jiang
Yazeed Alaudah
PatrickBue
Soumyadeep Dey
soumyadeep9
Young Park
Android Dev Notes
Bill Xue
Karine Ip
LorenzoV
Liqun Shao
Casey Hong
JS
Matthew Boyd
Sharat Chikkerur
Fidan Boylu Uz, PhD