pip install -r requirements.txt

python demo_syncnet.py --videofile data/example.avi --tmp_dir /path/to/temp/directory

AV offset:      3 
Min dist:       5.353
Confidence:     10.021

sh download_model.sh
python run_pipeline.py --videofile /path/to/video.mp4 --reference name_of_video --data_dir /path/to/output
python run_syncnet.py --videofile /path/to/video.mp4 --reference name_of_video --data_dir /path/to/output
python run_visualise.py --videofile /path/to/video.mp4 --reference name_of_video --data_dir /path/to/output

$DATA_DIR/pycrop/$REFERENCE/*.avi - cropped face tracks
$DATA_DIR/pywork/$REFERENCE/offsets.txt - audio-video offset values
$DATA_DIR/pyavi/$REFERENCE/video_out.avi - output video (as shown below)

@InProceedings{Chung16a,
  author       = "Chung, J.~S. and Zisserman, A.",
  title        = "Out of time: automated lip sync in the wild",
  booktitle    = "Workshop on Multi-view Lip-reading, ACCV",
  year         = "2016",
}