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如何使用python计算openCV在实时视频中检测到的人脸数量？

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我需要计算从网络摄像头拍摄的视频中的面部数量 . 例如，如果我站在摄像机前面然后计数= 1，现在如果检测到任何其他人则计数= 2，如果检测到另一个人则计数应该是3 .

我在python中使用opencv的frontal_face_haarcascade.xml . 我可以检测帧中的面部然后增加计数，但是发生的是计数随着帧数的增加而增加 . 因此，即使1个人被发现站立10秒，它也会显示为“67” .

我怎样才能克服这个问题？

这是代码：

import cv2

import sys

cascPath = sys.argv[1]

faceCascade = cv2.CascadeClassifier(cascPath)


video_capture = cv2.VideoCapture(0)
ret, frame = video_capture.read()

gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)

faces = faceCascade.detectMultiScale(
    gray,
    scaleFactor=1.1,
    minNeighbors=5,
    minSize=(30, 30)
)

# Draw a rectangle around the faces
for (x, y, w, h) in faces:
    cv2.rectangle(frame, (x, y), (x+w, y+h), (0, 255, 0), 2)


if cv2.waitKey(1) & 0xFF == ord('q'):
    break

# Display the resulting frame
cv2.imshow('Video', frame)


video_capture.release()

cv2.destroyAllWindows()
python opencv

2 回答

  • -1
    import numpy as np
import cv2
faceCascade = cv2.CascadeClassifier(cascPath)

video_capture  =cv2.VideoCapture(0)
while(True):
    idx=0

    ret, frame = video_capture.read()

    gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)

    faces = faceCascade.detectMultiScale(
        gray,
        scaleFactor=1.1,
        minNeighbors=5,
        minSize=(30, 30)
    )
    for (x,y,w,h) in faces:
        cv2.rectangle(frame,(x,y),(x+w,y+h),(0,255,0),2)
        idx += 1
        print (idx)
        cv2.putText(frame,str(idx),(x,y+h),cv2.FONT_HERSHEY_SIMPLEX,.7,(150,150,0),2)


    cv2.imshow('img',frame)
    if(cv2.waitKey(1)==ord('q')):
        break

frame.release()
cv2.destroyAllWindows()
    回复于
  • -1
    idx=0
while(True):
  ret, frame = video_capture.read()

  gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)

  faces = faceCascade.detectMultiScale(
    gray,
    scaleFactor=1.1,
    minNeighbors=5,
    minSize=(30, 30)
  )

  # Draw a rectangle around the faces
  for (x, y, w, h) in faces:
      cv2.rectangle(frame, (x, y), (x+w, y+h), (0, 255, 0), 2)
      idx += 1
      print (idx)


  if cv2.waitKey(1) & 0xFF == ord('q'):
      break

  # Display the resulting frame
  cv2.imshow('Video', frame)
    回复于

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