Please consider following this project's author, Abdullah Mujahid, and consider starring the project to show your ❤️ and support.
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.
https://www.mdpi.com/2076-3417/11/9/4164
- Detects real time object and recognize which digit it is from 1 - 5 .
- Detects number from a video from 1 - 5 digits..
- Python3
- OpenCV
- Numpy
- PyQt5
https://www.kaggle.com/abdullahmujahidali/hand-gesture-recongition-yolo-v3
- For Real time object Detection Yolo (You Only Look Once) is used.
- Clone this Repo
∧∧
( ´◔ω◔`) <・・・・・・ $ git clone https://github.com/abdullahmujahidali/Hand-Gesture-Recognition-.git
_| ⊃/(___
/ └-(____/
 ̄ ̄ ̄ ̄ ̄ ̄ ̄
<⌒/ヽ-、__ *thanks
/<_/____/
- 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
Abdullah Mujahid
Copyright © 2020, Abdullah Mujahid. Released under the MIT License.