MediaPipeでFacemesh処理を実行する

 ラボでは最近、Mediapipeをよく使っていますが、そのサンプルです。

	import cv2
	import mediapipe as mp
	mp_face_mesh = mp.solutions.face_mesh
	face_mesh = mp_face_mesh.FaceMesh(static_image_mode=False, max_num_faces=1, min_detection_confidence=0.5, min_tracking_confidence=0.5)
	mp_drawing = mp.solutions.drawing_utils
	drawing_spec = mp_drawing.DrawingSpec(thickness=1, circle_radius=1)
	cap = cv2.VideoCapture(1)
	while cap.isOpened():
	ret, frame = cap.read()
	if not ret:
	break
	frame = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
	results = face_mesh.process(frame)
	frame = cv2.cvtColor(frame, cv2.COLOR_RGB2BGR)
	if results.multi_face_landmarks:
	for face_landmarks in results.multi_face_landmarks:
	mp_drawing.draw_landmarks(
	image=frame,
	landmark_list=face_landmarks,
	connections=mp_face_mesh.FACEMESH_TESSELATION,
	landmark_drawing_spec=drawing_spec,
	connection_drawing_spec=drawing_spec)
	cv2.imshow('Face Mesh', frame)
	if cv2.waitKey(5) & 0xFF == 27:
	break
	cap.release()
	cv2.destroyAllWindows()

view raw mp_facemesh.py hosted with ❤ by GitHub