Hand-Gesture-Recognition-

Please consider following this project's author, Abdullah Mujahid, and consider starring the project to show your ❤️ and support.

Don't forget to cite my paper in your research work :)

Mujahid, A., Awan, M. J., Yasin, A., Mohammed, M. A., Damaševičius, R., Maskeliūnas, R., & Abdulkareem, K. H. (2021). Real-Time Hand Gesture Recognition Based on Deep Learning YOLOv3 Model. Applied Sciences, 11(9), 4164.

LINK TO MY ARTICLE

https://www.mdpi.com/2076-3417/11/9/4164

Project Features.

• Detects real time object and recognize which digit it is from 1 - 5 .
• Detects number from a video from 1 - 5 digits..

Prerequisites

• Python3
• OpenCV
• Numpy
• PyQt5

Kaggle Link

https://www.kaggle.com/abdullahmujahidali/hand-gesture-recongition-yolo-v3

Yolo v3

• For Real time object Detection Yolo (You Only Look Once) is used.

This application is tested on Linux and macOS*

• Clone this Repo

        ∧∧
　　 ( ´◔ω◔`)　＜・・・・・・ $ git clone https://github.com/abdullahmujahidali/Hand-Gesture-Recognition-.git
　 ＿|　⊃／(＿＿_
／　└-(＿＿＿_／
￣￣￣￣￣￣￣

　＜⌒／ヽ-､＿＿ 　 　　*thanks
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• Install requirements

$ pip3 install -r requirements.txt

Email @ abdullahmujahidali.@gmail.com and i'll send you weights and cfg file for Hand Gesture Recognition

For Dataset if I don't get back to you Dataset & Model

• Run

$ pyhton3 main.py

make sure before running code paste .cfg and .weights files

Author

Abdullah Mujahid

• LinkedIn Profile
• GitHub Profile
• Twitter Profile

License

Copyright © 2020, Abdullah Mujahid. Released under the MIT License.