Update README.md
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We use the pre-trained syncnet model available in this [repository](https://github.com/joonson/syncnet_python).
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### Steps to set-up the evaluation repository:
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### Steps to set-up the evaluation repository for LSE-D and LSE-C metric:
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* Clone the SyncNet repository.
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```
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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:
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```
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python calc_scores_syncnet.py --data_root /path/to/video/data/root --tmp_dir tmp_dir/
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python calculate_scores_LRS.py --data_root /path/to/video/data/root --tmp_dir tmp_dir/
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```
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# Evaluation of Lip-sync using FID metric.
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We will update the scripts for the FID metric shortly
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### Opening issues related to evaluation scripts
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* Please open the issues with the "Evaluation" label if you face any issues in the evaluation scripts.
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