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Skeleton Based Sign Language Recognition

We prepare this runModel.sh file to run the model.

Note: If you do not use WandB please change to False "wandbFlag" variable value in main.py (line 34)

main.py

  • --seed => set the seed to train [used 5, 15, 25, 35 and 45]
  • --experiment_name => The name where the model will be saved
  • --database => part of the name of the HDF5 file that will be used to retrieve the imput data (e.x: AEC, PUCP-DGI156, WLASL)
  • --keypoints_model => part of the name of the HDF5 file that will be used to retrieve the imput data (e.x: mediapipe, wholepose, openpose)
  • --base_lr => learning rate
  • --keypoints_number => number of keypoints used (29 or 71)
  • --num_epoch => number of epochs
  • --mode_train => to show in wandb the number of parameters (always write: numero_parametros"
  • --cleaned => add this to use the cleaned data from Connecting points repository

To automatize our work we create this .sh file modify it as you need

in windows

bash runModel.sh

In Linux

sh runModel.sh