Face-Detection-and-Recognition

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Project Features.

• Login(video).
• Live Detection and Recognition(video).
• Detection & Recognition via Image.
• ADD Face to DataSet For Future Recognized (via image or live image Capture via internal or external WebCam.)

Prerequisites

• Python3
• OpenCV
• Numpy
• PyQt5
• face-recognition

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

Face Recognition

• For face recognition face-recognition Package is used.

This application is tested on Linux and macOS*

• Clone this Repo

$ git clone https://github.com/ShahrozTanveer/Face-Detection-and-Recognition.git

• Install requirements

$ pip3 install -r requirements.txt

Email @ [email protected] and i'll send you weights and cfg file for Face detection

• Run

$ python3 main.py

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

Contributing

• Contributing Code Guidelines
• Face-Detection-and-Recognition Contributors

Contributors

Check out my other Deep Learning Projects

• Hand-Gestures-Recognition (1-5) using Darknet& YOLO
• Hand-Gestures-Recognition-ASL!

Author

Sharoz Tanveer

• LinkedIn Profile
• GitHub Profile
• Twitter Profile

License

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