def detect_and_handle_faces(img, recognizer=None):
faces = face_detect_on_photo(img)
for face in faces:
face = normalize_face_for_save(face)
face = np.asarray(face)
if face_is_blurry(face):
continue
cv2.imshow("Face", face)
if recognizer is not None:
[label_id, confidence] = recognizer.predict(face)
person = get_person_from_label(label_id)
print "Predicting %s with %s confidence" % (person, confidence)
else:
label_id = None
save_face(face, label_id)
def detect_and_handle_faces(img, sonos_device=None, recognizer=None):
faces = face_detect_on_photo(img)
for face in faces:
face = normalize_face_for_save(face)
face = np.asarray(face)
cv2.imshow("Face", face)
if recognizer is not None:
[label_id, confidence] = recognizer.predict(face)
if confidence <= CONFIDENCE_THRESHOLD:
person = get_person_from_label(label_id)
print "Predicting %s with %s confidence" % (person, confidence)
if sonos_device is not None:
try_to_play_music(label_id, sonos_device)
else:
label_id = None
save_face(face, label_id)
