[GitHub] aaronmarkham commented on a change in pull request #13647: Update lip reading example

[GitBox <gi...@apache.org>]

aaronmarkham commented on a change in pull request #13647: Update lip reading example
URL: https://github.com/apache/incubator-mxnet/pull/13647#discussion_r245254141
 
 

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 File path: example/gluon/lipnet/README.md
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+# LipNet: End-to-End Sentence-level Lipreading
+
+---
+
+Gluon implementation of [LipNet: End-to-End Sentence-level Lipreading](https://arxiv.org/abs/1611.01599)
+
+![net_structure](asset/network_structure.png)
+
+## 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
+```
+
+### 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)
+
 
 Review comment:
   ```suggestion
   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: 
   ```

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