End2end model for hand gesture recognition

Introduction

This project aims to recognize 6 pre-defined gestures from videos. As following images showing, there are 'fist_dorsal', 'fist_palm', 'open_dorsal', 'open_palm', 'three_fingers_dorsal', 'three_fingers_palm'.

Quick start

1. Install Opencv

   You should install Opencv in your environment.

2. git clone this project

   git clone https://github.com/nanguoyu/End2end-model-for-hand-gesture-recognition.git
   cd End2end-model-for-hand-gesture-recognition
   pip install -r requirements.txt

3. Download data set

   python DownloadData.py
   

4. Train an end-to-end model for hand gesture recognition:

   python train_End2end.py
   

5. Train a model for handmarks extraction:

   python train_SubSystem1.py
   

6. Test the end2end model:

   python test_end2end.py
   

7. Test the model for handmarks extraction:

   python test_subsystem1.py
   

Other

This is the sub project of Intelligent-Interactive-Systems-Project

Demo for the end2end detection model