Files

Mathias Claassen 81bbf66aab Initial codebase (#1 )

* Add project code

* Logger improvements

* Improvements to web demo code

* added create_wlasl_landmarks_dataset.py and xtract_mediapipe_landmarks.py

* Fix rotation augmentation

* fixed error in docstring, and removed unnecessary replace -1 -> 0

* Readme updates

* Share base notebooks

* Add notebooks and unify for different datasets

* requirements update

* fixes

* Make evaluate more deterministic

* Allow training with clearml

* refactor preprocessing and apply linter

* Minor fixes

* Minor notebook tweaks

* Readme updates

* Fix PR comments

* Remove unneeded code

* Add banner to Readme

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Co-authored-by: Gabriel Lema <gabriel.lema@xmartlabs.com>

2023-03-03 10:07:54 -03:00

index.html

Initial codebase (#1 )

2023-03-03 10:07:54 -03:00

README.md

Initial codebase (#1 )

2023-03-03 10:07:54 -03:00

README.md

SPOTER Web

To test Spoter model in the web, follow these steps:

Convert your latest Pytorch model to Onnx by running python convert.py. This is best done inside the Docker container. You will need to install additional dependencies for the conversions (see commented lines in requirements.txt)
The ONNX should be generated in the web folder, otherwise copy it there.
run npx light-server -s . -p 8080 in the web folder. (npx comes with npm)

Enjoy!