face mesh

import cv2
import mediapipe as mp
import time
 
# 打开计算机自带摄像头
cap = cv2.VideoCapture(0)
 
mp_drawing = mp.solutions.drawing_utils
mp_face_mesh = mp.solutions.face_mesh
drawing_spec = mp_drawing.DrawingSpec(thickness=1, circle_radius=1)
 
 
with mp_face_mesh.FaceMesh(
        min_detection_confidence=0.5,
        min_tracking_confidence=0.5) as face_mesh:
    while True:
        success, image = cap.read()
        image = cv2.cvtColor(cv2.flip(image, 1), cv2.COLOR_BGR2RGB)
        # To improve performance, optionally mark the image as not writeable to
        # pass by reference.
        image.flags.writeable = False
        results = face_mesh.process(image)
        time.sleep(0.02)
        # Draw the face mesh annotations on the image.
        image.flags.writeable = True
        image = cv2.cvtColor(image, cv2.COLOR_RGB2BGR)
        if results.multi_face_landmarks:
          for face_landmarks in results.multi_face_landmarks:
            mp_drawing.draw_landmarks(
                image=image,
                landmark_list=face_landmarks,
                connections=mp_face_mesh.FACEMESH_CONTOURS,
                landmark_drawing_spec=drawing_spec,
                connection_drawing_spec=drawing_spec)
 
        cv2.imshow('MediaPipe FaceMesh', image)
        if cv2.waitKey(5) & 0xFF == 27:
          break
 
    cap.release()