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SubUNets: End-to-end Hand Shape and Continuous Sign Language Recognition (ICCV'17)
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README.md

TODO

  • Upload Models to Dropbox and update the download model link
  • Upload Prototxt Files
  • Write unified evaluation script.

SubUNets

This repo contains the caffe models, prototoxt files and the evaluation scripts from Camgoz et al's "SubUNets: End-to-end Hand Shape and Continuous Sign Language Recognition" (ICCV'17).

Requirements

Usage

python evaluate.py --model <model_name> --phoenix_dir </path/to/phoenix/2014/> --one_mil_dir </path/to/one/mil/hands/>

Models which require phoenix_dir to be set

  • WordSubUNet-FullFrame-SingleLayer
  • WordSubUnet-FullFrame-TwoLayer
  • WordSubUnet-HandFrame-TwoLayer
  • SignSubUNets-Expert
  • SignSubUNets-Generic

Models which require one_mil_dir to be set

  • HandSubUNets

Reference

Please cite the paper below if you use this code in your research:

@inproceedings{camgoz2017subunets,
  author = {Necati Cihan Camgoz and Simon Hadfield and Oscar Koller and Richard Bowden},
  title = {SubUNets: End-to-end Hand Shape and Continuous Sign Language Recognition},
  booktitle = {IEEE International Conference on Computer Vision (ICCV)},
  year = {2017}
}
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