Run the demo and have a look at the pca-face-recognition notebook to see how PCA is used to compare images.
Dataset: vision.caltech.edu/html-files/archive.html
- Download & move faces-dataset in to a folder called
face_images
to the root directory of the project. - Run entire pca-face-recognition.ipynb notebook (creates principal component matrix and saves it).
- Run
python demo_server.py
(localhost:5000).