openCV.py

import cv2
 
import mediapipe as mp
 
import time
 
 
cap = cv2.VideoCapture('/home/python/OpenCV/faceDetect/faceD1.mp4')
 
#cap = cv2.VideoCapture(0)
 
pTime = 0
 
mpFaceDect = mp.solutions.face_detection
mpDrawing = mp.solutions.drawing_utils
faceDetection = mpFaceDect.FaceDetection(0.75)
 
while True:
   success, img = cap.read()
  
   imgRGB = cv2.cvtColor(img,cv2.COLOR_BGR2RGB)
   results = faceDetection.process(imgRGB)
  
   if results.detections:
       for id, detection in enumerate(results.detections):
           mpDrawing.draw_detection(img, detection)
           #print(id, detection)
           #print(detection.location_data.relative_bounding_box)
           bboxC = detection.location_data.relative_bounding_box
           ih, iw, ic = img.shape
           bbox = int(bboxC.xmin * iw), int(bboxC.ymin * ih), \
               int(bboxC.width * iw), int(bboxC.height * ih)
          
           cv2.rectangle(img, bbox, (255, 0, 255), 2)
           cv2.putText(img, f'{int(detection.score[0] * 100)}%',
                       (bbox[0], bbox[1] - 20),cv2.FONT_HERSHEY_PLAIN,2,(255, 0, 255),2)
          
          
   cTime = time.time() # frame rate
   fps_rate = 1 / (cTime-pTime)
   pTime = cTime
 
  
   cv2.putText(img, f'FPS: {int(fps_rate)}', (20, 70), cv2.FONT_HERSHEY_PLAIN,3  ,(0, 255, 0), 2)
   cv2.imshow('Face Detection ', img)
   cv2.waitKey(1)