intuit_raspberypi_workshop
###start server to recieve training images cd face_rec python py_server.py
#start the intuit_demo/train_client.py file on the pi press button to start clickin
#images stored at /face_rec on the server ##bash script to create a list of images to crop out the face find face_rec/face_recognition/images/ -printf "%p\n" | grep .jpg | sort -d > filexlist.txt #file list stored at /face_rec cp filexlist.txt face_recognition/ #crop faces perl face_rec/face_recognition/extractfaces/generate_traindata.pl #generate image_list to indicate the set of images used for training find face_rec/face_recognition/extractfaces/faces/ -printf "%p\n" | grep .jpg | sort -d > image_list.txt #add labels <img_path>;<label_number> cd train_recognizer #build the model ./train ../image_list.txt new_dir/ #copy the model on to the pi scp new_dir/lbph_model.yaml pi@10.10.0.2:/home/pi/face_rec cd to /face_rec/face_recognition/recognise on the pi ./classify to run the classifier. Visit https://github.com/jayzsimha/face_recognition to setup openCV and for more instructins