Retina is a Face Recognition application. It uses OpenCV and has "optimizied" settings for running on several of my machines.
data- Permanent and temporary data used for detection and recognition.classifiers- Haar and LBP face detection classifiers.faces- Face image sets for specific individuals.LABEL- Sets for a specific individual.raw- Raw, non-preprocessed, RGB images from an external source.training- Preprocessed images ready for recognizer training.
recognizers- Face recognizer models.
modules- Internal data models and helper functions.settings- Machine specific settings for video capture, detection, and recognition.tools- Various tools for working with Retina.
- Python 3.x
- OpenCV >= 3.2.0
- Numpy
- Pillow
- Tkinter (optional)
To install OpenCV 3+ for Python 3.x, I've been following the install instructions located here. If you are working on a Fedora-based machine like I am, simply installing the RPM equivalents of the Step 1 packages and following the rest of the guide should be fine. You can find OpenCV and OpenCV_Contrib here and here.