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
sharoz.py@gmail.com and i'll send you weights and cfg file for Face detection
Email @- Run
$ python3 main.py
make sure before running code paste .cfg and .weights files
Contributing
Contributors
Check out my other Deep Learning Projects
Author
Sharoz Tanveer
License
Copyright © 2020, Sharoz Tanveer. Released under the MIT License.