soeque1 commented on a change in pull request #13647: Update lip reading example URL: https://github.com/apache/incubator-mxnet/pull/13647#discussion_r250897378
########## File path: example/gluon/lipnet/README.md ########## @@ -0,0 +1,115 @@ +# LipNet: End-to-End Sentence-level Lipreading + +--- + +Gluon implementation of [LipNet: End-to-End Sentence-level Lipreading](https://arxiv.org/abs/1611.01599) + + + +## Requirements +- Python 3.6.4 +- MXnet 1.3.0 +- The Required Disk Space: 35Gb +``` +pip install -r requirements.txt +``` + +## Test Environment +- 4 CPU cores +- 1 GPU (Tesla K80 12GB) + + +## The Data +- The GRID audiovisual sentence corpus (http://spandh.dcs.shef.ac.uk/gridcorpus/) +- Video: (normal)(480 M each) +- Align: word alignments(190 K each) + +## Prepare the Data +### Download the data +- arguments + - src_path : Path for videos (default='./data/mp4s/') + - align_path : Path for aligns (default='./data/') + - n_process : num of process (default=1) + +``` +cd ./utils && python download_data.py --n_process $(nproc) +``` + +### Preprocess the Data: Extracting the mouth images from a video and save it. +- arguments + - src_path : Path for videos (default='./data/mp4s/') + - tgt_path : Path for preprocessed images (default='./data/datasets/') + - n_process : num of process (default=1) + +You can run the preprocessing with just one processor, but this will take a long time (>48 hours). To use all of the available processors, use the following command: + +``` +cd ./utils && python preprocess_data.py --n_process $(nproc) +``` + +## Data Structure + +``` +The training data folder should look like : +<train_data_root> + |--datasets + |--s1 + |--bbir7s + |--mouth_000.png + |--mouth_001.png + ... + |--bgaa8p + |--mouth_000.png + |--mouth_001.png + ... + |--s2 + ... + |--align + |--bw1d8a.align + |--bggzzs.align + ... + +``` + + +## Training + Review comment: Updated ---------------------------------------------------------------- This is an automated message from the Apache Git Service. To respond to the message, please log on GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: us...@infra.apache.org With regards, Apache Git Services
