[python]mediapipe的人脸mesh实时生成

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

[python]mediapipe的人脸mesh实时生成_第1张图片

 

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