def set_faceProcessor(self):
self.mouth_drawer = drw.MouthDrawer()
self.eyes_drawer = drw.EyesDrawer()
self.skin_color = features.SkinCategoryFeature()
self.qr_code = features.QRCodeFeature()
skin_rec = recommenders.DictRecommender(self.skin_color, SKIN_COLORS)
qr_rec = recommenders.DictRecommender(self.qr_code, QR_CODE_COLORS)
self.skin_rec = RecommenderStream(self.stream, skin_rec).start()
self.qr_rec = RecommenderStream(self.stream, qr_rec).start()
dest='alpha',
type=float,
default=0.25,
help='alpha')
args = ap.parse_args()
detector = FacePartsDetector(args.shape_predictor, [
'mouth', 'right_eye', 'left_eye', 'right_eyebrow', 'left_eyebrow', 'nose',
'jaw'
])
cap = cv2.VideoCapture(args.source)
mouth_drawer = DRAWERS['mouth']
eyes_drawer = DRAWERS['eyes']
skin_color = features.SkinCategoryFeature()
qr_code = features.QRCodeFeature()
skin_rec = recommenders.DictRecommender(skin_color, SKIN_COLORS)
qr_rec = recommenders.DictRecommender(qr_code, QR_CODE_COLORS)
while (True):
# load the input image, resize it, and convert it to grayscale
_, image = cap.read()
if image is not None:
image = imutils.resize(image, width=900)
gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
shapes = detector.detect(gray)
skin_predict = skin_rec.predict(image, shapes)
qr_predict = qr_rec.predict(image, shapes)
eyes_drawer.draw(image, shapes, (183, 163, 255), 0.1)
mouth_drawer.draw(image, shapes, (99, 49, 222), 0.2)