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end2end-model-for-hand-gesture-recognition's Introduction

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

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