faceMeshFunc.py

import cv2
import mediapipe as mp
import time
 
cap = cv2.VideoCapture("/home/python/OpenCV/faceMash/mesh.mp4")
 
 
presentTime = 0
 
mpDraw = mp.solutions.drawing_utils
mpFaceMesh = mp.solutions.face_mesh
faceMesh = mpFaceMesh.FaceMesh(max_num_faces = 2)
drawSpec = mpDraw.DrawingSpec(thickness=1, circle_radius=1)
 
 
 
 
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.FACE_CONNECTIONS, drawSpec, drawSpec)
           for id, lm in enumerate(faceLms.landmark):
               ih, iw, ic = img.shape
               x, y = int(lm.x*iw), int(lm.y*ih)
              
  
   
  
   # fps control
   currentTime = time.time()
   fps_rate = 1 / (currentTime - presentTime)
   presentTime = currentTime
  
   cv2.putText(img, f'fps:{int(fps_rate)}', (20, 70), cv2.FONT_HERSHEY_PLAIN, 3, (0, 0, 255), 3)
  
  
   cv2.imshow('Face Mesh Detection', img)
   cv2.waitKey(1)
  
cap.release()
cv2.destroyAllWindows()