Benchmarking PCA and Machine Learning algorithms for face detection purpose

University project aiming to compare PCA and Machine Learning methods to process face recognition on a small set of images.

To use the programs :

• Define your images paths in all the files, in the function loadImageDatabase

• Edit pca.py line 128 to set the number of PCA compenents you want, then run the program with Python

• Edit modelTraining.py line 95 to set the number of iterations you want for the ML model, then line 98 to choose where to store the model. Run the code with Python

• Edit faceRecognition.py line 63 to set the path of a stored model. Run the code with Python.