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1. Install all required dependencies -OpenCV -NumPy -gPhoto2 -Boost.Python 2. Adjust the Makefile in ./camera_input to your particular environment 3. Run "make" inside of the camera_input folder 4. Run "python collect_training_data.py" 5. You will need to manually classify each face in the "faces" directory. -Classify by creating a folder name that matches the individual's name -Create at least two folders and place the faces into the appropriate folder 6. Update your engineer list in "engineer_list.py" to include the names of the appropriate people and associated songs and make them match the directores in "faces" 7. After a fair amount of training data collected from "collect_training_data.py", run "predict_faces.py" 8. To re-train the classifier, which might take a significant amount of time, run "retrain_recognizer.py"