Face landmarks detection – Opencv with Python
We’re going to see in this video how to detect the facial landmarks using the Dlib library with Opencv and Python.
Source code:
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import cv2 import numpy as np import dlib cap = cv2.VideoCapture(0) detector = dlib.get_frontal_face_detector() predictor = dlib.shape_predictor("shape_predictor_68_face_landmarks.dat") while True: _, frame = cap.read() gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY) faces = detector(gray) for face in faces: x1 = face.left() y1 = face.top() x2 = face.right() y2 = face.bottom() #cv2.rectangle(frame, (x1, y1), (x2, y2), (0, 255, 0), 3) landmarks = predictor(gray, face) for n in range(0, 68): x = landmarks.part(n).x y = landmarks.part(n).y cv2.circle(frame, (x, y), 4, (255, 0, 0), -1) cv2.imshow("Frame", frame) key = cv2.waitKey(1) if key == 27: break |
