Benwick921 / facerecognition

Performance evaluation of a biometric facial recognition system

Face Recognition Evaluation

Performance evaluation of a biometric facial recognition system. The datasets image are fewer from the original evaluation, feel free to populate your datasets with your images but befor that read the report.

OpenCV Intallation

Dependencies

#[compiler]
sudo apt-get install build-essential
#[required]
sudo apt-get install cmake git libgtk2.0-dev pkg-config libavcodec-dev libavformat-dev libswscale-dev
#[optional]
sudo apt-get install python-dev python-numpy libtbb2 libtbb-dev libjpeg-dev libpng-dev libtiff-dev libdc1394-22-dev

The official guide tell to install libjasper-dev library but it gave me error, apt couldn't loce the file so i didn't installed and worked fine anyway.

PIP3

Install pip3 to install python libraries because it's written in python3.

sudo apt-get install python3-pip

Install OpenCV

sudo pip3 install opencv-python

Install also contrib libraries, you might need it better have it just in case.

sudo pip3 install opencv-contrib-python 

Conclusion

Now you are ready to go:

• Download and extract the project.
• Populate the datasets that are inside datasets folder, remember to enable your change dataset paths, the default one is set to ./datasets/dataset1/....
  
• Change the number of genuine probes and impostor probes in the code.
  
  Yes i know totgalleryimg is not the right name for genuine probes variable but hey! now you know it that the variable stand for the quantity of genuine probes so change it as u wish.
• Execute python3 cv.py and enjoy the evaluation.