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657e98b Jan 26, 2018
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import face_recognition
# Load the jpg files into numpy arrays
biden_image = face_recognition.load_image_file("biden.jpg")
obama_image = face_recognition.load_image_file("obama.jpg")
unknown_image = face_recognition.load_image_file("obama2.jpg")
# Get the face encodings for each face in each image file
# Since there could be more than one face in each image, it returns a list of encodings.
# But since I know each image only has one face, I only care about the first encoding in each image, so I grab index 0.
try:
biden_face_encoding = face_recognition.face_encodings(biden_image)[0]
obama_face_encoding = face_recognition.face_encodings(obama_image)[0]
unknown_face_encoding = face_recognition.face_encodings(unknown_image)[0]
except IndexError:
print("I wasn't able to locate any faces in at least one of the images. Check the image files. Aborting...")
quit()
known_faces = [
biden_face_encoding,
obama_face_encoding
]
# results is an array of True/False telling if the unknown face matched anyone in the known_faces array
results = face_recognition.compare_faces(known_faces, unknown_face_encoding)
print("Is the unknown face a picture of Biden? {}".format(results[0]))
print("Is the unknown face a picture of Obama? {}".format(results[1]))
print("Is the unknown face a new person that we've never seen before? {}".format(not True in results))