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ReTrO19/Classify-Hand-Gesture-Python

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Classification of Hand Gesture Using Python

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Where There Is Python There Is A Way 😜


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Description

This projects helps in classification of Hand Gestures using OpenCV.

Use cases of this project

Gestures play an important role in our everyday communication and expression. Thus using them to communicate with tech devices needs very little intellectual data processing from our side. That means we can control different things such as vending machines almost without thinking, just by using our fingers and hands

Times have changed and so did the customer preferences. Nowadays, more and more people don't want to use touchscreens. Many of us think it's unhygienic to use a touchscreen of a public device such as an informational table, especially in times of the pandemic.

Technologies

  • Python
  • MediaPipe
  • OpenCV

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How To Use

Main Installation

    > git clone https://github.com/ReTrO19/Classify-Hand-Gesture-Python.git
    > cd Classify-Hand-Gesture-Python
    > python -m venv gesture_dect_venv
    > gesture_dect_venv\Scripts\activate
    > pip install -r requirements.txt

How to run the inference

    > RunApp.bat

Outputs

( Model is trained on 2 class Nice and Peace )

Detected Class: Nice

Nice Class

Detected Class: Peace

Nice Class

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References

MediaPipe offers cross-platform, customizable ML solutions for live and streaming media. MediaPipe

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License

MIT License

Copyright (c) [2021] [Abhishek Khamkar]

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

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Author Info

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This projects helps in classification of Hand Gestures using OpenCV.

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