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hand gestures recognition for ASL(American Sign Language) using Deep Learning

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Hand-Gestures-Recognition-ASL

GitHub contributors Open Source Love Python License: MIT GitHub followers Twitter Follow

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

ASL TEST

Project Features.

  • Detects and recgnize real time American sign language 1-10 Signs .

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-ASL.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 Directory*

Check out my other Deep Learning Projects

Author

Sharoz Tanveer

License

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

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hand gestures recognition for ASL(American Sign Language) using Deep Learning

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