lawliet2706/face-detection

Simple code for face capturing.

Face detector

Implementation of the MTCNN face detector for Keras in Python3.4+. It is based on the paper Zhang, K et al. (2016) [ZHANG2016]_ and MTCNN implementation of ipazc .

Prerequisites

• Python 3.4+
• Keras >=2.0.0
• OpenCV >=4.1

Installing

Currently, this version of the MTCNN implementation is only supported on Python3.4 and onwards. The implementation itself can be installed through pip:

$ pip install mtcnn

The implementation of MTCNN used in this script also requires OpenCV>=4.1 and Keras>=2.0.0 (and any Tensorflow supported by Keras). If this is the first time you use tensorflow, you will probably need to install it in your system:

$ pip install tensorflow

or with conda

$ conda install tensorflow

Note that tensorflow-gpu version can be used instead if a GPU device is available on the system, which will speedup the results.

USAGE

>>>import cv2
>>>from facedetection import find_faces
>>>from mtcnn import MTCNN

detector = MTCNN()

image = 'hoomens.jpg'
result = find_faces(image,detector)

for img in result:
    img.show()

The output is an image with faces detected by our face detector.

Deployment

I used conda environment, couldn't get it to work with VisualStudio

Authors

See the list of contributors who participated in this project.

License

This project is licensed under the MIT License - see the LICENSE.md file for details

Acknowledgments

• Iván de Paz Centeno - Initial work - ipazc