Hand-Gestures-Recognition

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Project Features.

• Detects real time hand gesture and recognize which digit it is from 1 - 5 .

Prerequisites

• Python3
• OpenCV
• Numpy

Yolo and Darknet-53

• For Real time object Detection Yolo (You Only Look Once) is used.
• Darknet-53 is used to train model for face detection.
• Darknet is an open source neural network framework by Joseph Redmon

This application is tested on Linux and macOS*

• Clone this Repo

$ git clone https://github.com/ShahrozTanveer/Hand-Gestures-Recognition.git

• Install requirements

$ pip3 install -r requirements.txt

Download Yolo Weights and move it in Yolo Folder.

Download!

• Run

$ pyhton3 script.py

• make sure before running code paste .weights file in Yolo Directory*

Check out my other Deep Learning Projects

• Face detection and recognition!
• Hand-Gestures-Recognition-ASL!

Author

Sharoz Tanveer

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• GitHub Profile
• Twitter Profile

License

Copyright © 2020, Sharoz Tanveer. Released under the MIT License.