Added acknowledgements

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Rudrabha Mukhopadhyay 2020-10-03 10:13:30 +05:30 committed by GitHub
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@ -36,11 +36,15 @@ video data root (Folder containing all videos)
python calculate_scores_LRS.py --data_root /path/to/video/data/root --tmp_dir tmp_dir/ python calculate_scores_LRS.py --data_root /path/to/video/data/root --tmp_dir tmp_dir/
``` ```
# Evaluation of Lip-sync using FID metric. # Evaluation of image quality using FID metric.
We will update the scripts for the FID metric shortly We will update the scripts for the FID metric shortly
### Opening issues related to evaluation scripts # Opening issues related to evaluation scripts
* Please open the issues with the "Evaluation" label if you face any issues in the evaluation scripts. * Please open the issues with the "Evaluation" label if you face any issues in the evaluation scripts.
# Acknowledgements
Our evaluation pipeline in based on two existing repositories. LSE metrics are based on the [syncnet_python](https://github.com/joonson/syncnet_python) repository and the FID score is based on [pytorch-fid](https://github.com/mseitzer/pytorch-fid) repository. We thank the authors of both the repositories for releasing their wonderful code.