Webcam Face and Gender Recognition

This Python script aims to recognize people and their genders. It works with OpenCV and Face Recognition API. By facial recognition, a person is predicted and sex is estimated using Deep Neural Network from OpenCV. The script must analyze an image within a specific folder (with one or n people) and will return 128-dimension face encoding for each face in the image. Then, predict sex using the neural network.

Requirements

I run the code in this config:

• Python 3.6.10
• OpenCV 4.2.0
• Face Recognition 1.2.3
• Dlib 19.8.1
• Numpy 1.18.1

You can get it here:

• Python 3.6


• OpenCV

  pip install opencv-python

• Face Recognition

  pip install face_recognition

• Dlib

  pip install dlib

  If you are in Windows and the first method does not do, try this:

  python -m pip install https://files.pythonhosted.org/packages/0e/ce/f8a3cff33ac03a8219768f0694c5d703c8e037e6aba2e865f9bae22ed63c/dlib-19.8.1-cp36-cp36m-win_amd64.whl#sha256=794994fa2c54e7776659fddb148363a5556468a6d5d46be8dad311722d54bfcf

• NumPy

  pip install numpy

• Matplotlib(optional)

  pip install matplotlib

How to run?

First of all, you need to run in terminal

python menu.py

After that you can press the button "Put Images", which will open a window to select the people’s images, then you can press the button "Find Faces" and the program will start. The name of the person’s image must be with their name, otherwise, the program will recognize the person with the image name.

This will open a window called Face Recognition, which will recognize and distinguish people according to the photos in the people folder. If you want to close the window just press "q".

Examples:

One person recognitions

Two persons recognitions

Questions or Issues

If you have any question or are getting any issue, contact-me.

E-mail
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