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| 1 | +# This is a demo of running face recognition on a Raspberry Pi. |
| 2 | +# This program will print out the names of anyone it recognizes to the console. |
| 3 | + |
| 4 | +# To run this, you need a Raspberry Pi 2 (or greater) with face_recognition and |
| 5 | +# the picamera[array] module installed. |
| 6 | +# You can follow this installation instructions to get your RPi set up: |
| 7 | +# https://gist.github.com/ageitgey/1ac8dbe8572f3f533df6269dab35df65 |
| 8 | + |
| 9 | +import face_recognition |
| 10 | +import picamera |
| 11 | +import numpy as np |
| 12 | + |
| 13 | +# Get a reference to the Raspberry Pi camera. |
| 14 | +# If this fails, make sure you have a camera connected to the RPi and that you |
| 15 | +# enabled your camera in raspi-config and rebooted first. |
| 16 | +camera = picamera.PiCamera() |
| 17 | +camera.resolution = (320, 240) |
| 18 | +output = np.empty((240, 320, 3), dtype=np.uint8) |
| 19 | + |
| 20 | +# Load a sample picture and learn how to recognize it. |
| 21 | +print("Loading known face image(s)") |
| 22 | +obama_image = face_recognition.load_image_file("obama_small.jpg") |
| 23 | +obama_face_encoding = face_recognition.face_encodings(obama_image)[0] |
| 24 | + |
| 25 | +# Initialize some variables |
| 26 | +face_locations = [] |
| 27 | +face_encodings = [] |
| 28 | + |
| 29 | +while True: |
| 30 | + print("Capturing image.") |
| 31 | + # Grab a single frame of video from the RPi camera as a numpy array |
| 32 | + camera.capture(output, format="bgr") |
| 33 | + |
| 34 | + # Find all the faces and face encodings in the current frame of video |
| 35 | + face_locations = face_recognition.face_locations(output) |
| 36 | + print("Found {} faces in image.".format(len(face_locations))) |
| 37 | + face_encodings = face_recognition.face_encodings(output, face_locations) |
| 38 | + |
| 39 | + # Loop over each face found in the frame to see if it's someone we know. |
| 40 | + for face_encoding in face_encodings: |
| 41 | + # See if the face is a match for the known face(s) |
| 42 | + match = face_recognition.compare_faces([obama_face_encoding], face_encoding) |
| 43 | + name = "<Unknown Person>" |
| 44 | + |
| 45 | + if match[0]: |
| 46 | + name = "Barack Obama" |
| 47 | + |
| 48 | + print("I see someone named {}!".format(name)) |
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