opencv로 사람을 인식해서 사각형을 그리는 방법까지는 구현했는데, 이 때 사람 수를 구하는 코드를 짜는 방법을 모르겠습니다ㅠㅜ

어떻게 해야 할까요..??

밑에는 영상으로 사람 인식하는 코드입니다

# import the necessary packages

import numpy as np

import cv2

# initialize the HOG descriptor/person detector

hog = cv2.HOGDescriptor()

hog.setSVMDetector(cv2.HOGDescriptor_getDefaultPeopleDetector())

cv2.startWindowThread()

# open webcam video stream

cap = cv2.VideoCapture(0)

# the output will be written to output.avi

out = cv2.VideoWriter(

  'output.avi',

  cv2.VideoWriter_fourcc(*'MJPG'),

  15.,

  (640,480))

while(True):

  # Capture frame-by-frame

  ret, frame = cap.read()

  # resizing for faster detection

  frame = cv2.resize(frame, (640, 480))

  # using a greyscale picture, also for faster detection

  gray = cv2.cvtColor(frame, cv2.COLOR_RGB2GRAY)

  # detect people in the image

  # returns the bounding boxes for the detected objects

  boxes, weights = hog.detectMultiScale(frame, winStride=(8,8) )

  boxes = np.array([[x, y, x + w, y + h] for (x, y, w, h) in boxes])

  for (xA, yA, xB, yB) in boxes:

    # display the detected boxes in the colour picture

    cv2.rectangle(frame, (xA, yA), (xB, yB),

             (0, 255, 0), 2)

  # Write the output video 

  out.write(frame.astype('uint8'))

  # Display the resulting frame

  cv2.imshow('frame',frame)

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

    break

# When everything done, release the capture

cap.release()

# and release the output

out.release()

# finally, close the window

cv2.destroyAllWindows()

cv2.waitKey(1)