mediapipeproj.py

import cv2
import mediapipe as mp

mp_drawing = mp.solutions.drawing_utils
mp_face_mesh = mp.solutions.face_mesh


drawing_spec = mp_drawing.DrawingSpec(thickness=1, circle_radius=1, color=(233,222,222))
cap = cv2.VideoCapture(0)
with mp_face_mesh.FaceMesh(min_detection_confidence=0.5,min_tracking_confidence=0.5) as face_mesh:
    while cap.isOpened():
        success, image = cap.read()
        if not success:
            print("Ignoring empty camera frame.")
            # If loading a video, use 'break' instead of 'continue'.
            continue
        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)


      # 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.FACE_CONNECTIONS,
                  landmark_drawing_spec=drawing_spec,
                  connection_drawing_spec=drawing_spec)
        cv2.imshow('MediaPipe FaceMesh', image)
        if cv2.waitKey(5) & 0xFF == 27:
          break
    cap.release()
cv2.destroyAllWindows()