OpenCV视频识别检测人数跟踪统计

import numpy as np
import cv2
import time
import datetime

cap = cv2.VideoCapture("vtest.avi") 

fgbg = cv2.createBackgroundSubtractorMOG()

while True:
    ret, frame = cap.read()  
    fgmask = fgbg.apply(frame)


    fgmask,contours, hierarchy = cv2.findContours(cv2.EXTERNAL, cv2.CHAIN_SIMPLE) 

    count=0
    for cont in contours:
        Area = cv2.contourArea()  
        if Area < 300:  
            continue


        print("{}-prospect:{}".format(count),end="  ") 

        rect = cv2.boundingRect(cont) 

        print("x:{} y:{}".format(rect[0],rect[1]))



        y = 10 if rect[1] < 10 else rect[1]  
        

    
    print("----------------------------")


    cv2.namedWindow("frame", 0);
    cv2.resizeWindow("frame", 480, 420);
    cv2.imshow('frame', frame)

    cv2.namedWindow("frame2", 0);
    cv2.resizeWindow("frame2", 480, 420);
    cv2.imshow('frame2', fgmask)  

    k = cv2.waitKey(30)&0xff  
    if k == 27:
        break


"""
    maxArea = 0
    for c in contours:
        Area = cv2.contourArea(c) 
        if Area < maxArea:
            #if cv2.contourArea(c) < 500:
            (x, y, w, h) = (0, 0, 0, 0)
            continue
        else:
            if Area < 1000:
                (x, y, w, h) = (0, 0, 0, 0)
                continue
            else:
                maxArea = Area
                m = c
                (x, y, w, h) = cv2.boundingRect(m)
        cv2.rectangle(frame, (x, y), (x + w, y + h), (0, 255, 0), 2)
        #out.write(frame)
"""