File size: 1,639 Bytes
804301e | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 | # SyncNet
This repository contains the demo for the audio-to-video synchronisation network (SyncNet). This network can be used for audio-visual synchronisation tasks including:
1. Removing temporal lags between the audio and visual streams in a video;
2. Determining who is speaking amongst multiple faces in a video.
Please cite the paper below if you make use of the software.
## Dependencies
```
pip install -r requirements.txt
```
In addition, `ffmpeg` is required.
## Demo
SyncNet demo:
```
python demo_syncnet.py --videofile data/example.avi --tmp_dir /path/to/temp/directory
```
Check that this script returns:
```
AV offset: 3
Min dist: 5.353
Confidence: 10.021
```
Full pipeline:
```
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
```
Outputs:
```
$DATA_DIR/pycrop/$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)
```
<p align="center">
<img src="img/ex1.jpg" width="45%"/>
<img src="img/ex2.jpg" width="45%"/>
</p>
## Publications
```
@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",
}
```
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