81bbf66aab
* 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 --------- Co-authored-by: Gabriel Lema <gabriel.lema@xmartlabs.com>
9 lines
470 B
Markdown
9 lines
470 B
Markdown
# SPOTER Web
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To test Spoter model in the web, follow these steps:
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* 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)
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* The ONNX should be generated in the `web` folder, otherwise copy it there.
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* run `npx light-server -s . -p 8080` in the `web` folder. (`npx` comes with `npm`)
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Enjoy!
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