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Release of LRS2, LRS3, LRW filelists

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evaluation/README.md
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# Evaluation of Lip-sync using LSE-D and LSE-C metric.
# Novel Evaluation Framework, new filelists, and using the LSE-D and LSE-C metric.
We use the pre-trained syncnet model available in this [repository](https://github.com/joonson/syncnet_python).
Our paper also proposes a novel evaluation framework (Section 4). To evaluate on LRS2, LRS3, and LRW, the filelists are present in the `test_filelists` folder. Please use `gen_videos_from_filelist.py` script to generate the videos. After that, you can calculate the LSE-D and LSE-C scores using the instructions below.
The videos of the ReSyncED benchmark for real-world evaluation will be released soon.
### Steps to set-up the evaluation repository for LSE-D and LSE-C metric:
We use the pre-trained syncnet model available in this [repository](https://github.com/joonson/syncnet_python).
* Clone the SyncNet repository.
```
git clone https://github.com/joonson/syncnet_python.git