import mediapipe as mp
import cv2
import numpy as np
import time
def findDis(pts1,pts2):
return ((pts2[0]-pts1[0])**2 + (pts2[1]-pts1[1])**2)**0.5
cap = cv2.VideoCapture(0)
pTime = 0
id_list = [23, 159, 130, 243, 62, 292, 12, 15]
mpDraw = mp.solutions.drawing_utils
mpFaceMesh = mp.solutions.face_mesh
faceMesh = mpFaceMesh.FaceMesh(max_num_faces=2)
drawSpec = mpDraw.DrawingSpec(thickness=1, circle_radius=2)
while True:
success, img = cap.read()
imgRGB = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
results = faceMesh.process(imgRGB)
if results.multi_face_landmarks:
for faceLms in results.multi_face_landmarks:
mpDraw.draw_landmarks(img, faceLms, mpFaceMesh.FACEMESH_CONTOURS,
drawSpec,drawSpec)
mp_data = []
for id,lm in enumerate(faceLms.landmark):
ih, iw, ic = img.shape
x,y = int(lm.x*iw), int(lm.y*ih)
if id in id_list: #左眼[22, 23, 24, 26, 110, 157, 158, 159, 160, 161, 130, 243]:
mp_data.append([x,y])
cv2.circle(img,(x,y),2,(255,0,0),-1)
eye_length_1 = findDis(mp_data[0],mp_data[1])
eye_length_2 = findDis(mp_data[2],mp_data[3])
mouth_length_2 = findDis(mp_data[4],mp_data[5])
mouth_length_1 = findDis(mp_data[6],mp_data[7])
# print(eye_length_1,eye_length_2)
if ((mouth_length_1/mouth_length_2)<(98/18)):
cv2.putText(img,"mouth close",(400,50),cv2.FONT_HERSHEY_PLAIN, 2,(0,0,255),3)
else:
cv2.putText(img,"mouth open",(400,50),cv2.FONT_HERSHEY_PLAIN, 2,(0,0,255),3)
if (eye_length_2/eye_length_1)>18:
cv2.putText(img,"eye open",(400,100),cv2.FONT_HERSHEY_PLAIN, 2,(0,0,255),3)
else:
cv2.putText(img,"eye close",(400,100),cv2.FONT_HERSHEY_PLAIN, 2,(0,0,255),3)
cTime = time.time()
fps = 1 / (cTime - pTime)
pTime = cTime
cv2.putText(img, f'FPS: {int(fps)}', (20, 70), cv2.FONT_HERSHEY_PLAIN,
3, (255, 0, 0), 3)
cv2.imshow("Image", img)
if cv2.waitKey(1)&0xFF == ord("q"):
cv2.imwrite("6.jpg",img)
break
cap.release()
cv2.destroyAllWindows()
结果