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Rudrabha Mukhopadhyay 2020-10-03 10:03:21 +05:30 committed by GitHub
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evaluation/README.md
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We use the pre-trained syncnet model available in this [repository](https://github.com/joonson/syncnet_python). We use the pre-trained syncnet model available in this [repository](https://github.com/joonson/syncnet_python).
### Steps to set-up the evaluation repository: ### Steps to set-up the evaluation repository for LSE-D and LSE-C metric:
* Clone the SyncNet repository. * Clone the SyncNet repository.
``` ```
git clone https://github.com/joonson/syncnet_python.git git clone https://github.com/joonson/syncnet_python.git
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* To run evaluation on the LRW, LRS2 and LRS3 test files, please run the following command: * To run evaluation on the LRW, LRS2 and LRS3 test files, please run the following command:
``` ```
python calc_scores_syncnet.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.
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.