#coding:utf-8

# 导入必要的软件包

import argparse

import datetime

import imutils

import time

import cv2

# 创建参数解析器并解析参数

ap = argparse.ArgumentParser()

ap.add_argument("-v", "--video", help="path to the video file")

ap.add_argument("-a", "--min-area", type=int, default=500, help="minimum area size")

args = vars(ap.parse_args())

# 如果video参数为None，那么我们从摄像头读取数据

if args.get("video", None) is None:

camera = cv2.VideoCapture(0)

time.sleep(0.25)

# 否则我们读取一个视频文件

else:

camera = cv2.VideoCapture(args["video"])

# 初始化视频流的第一帧

firstFrame = None

# 遍历视频的每一帧

while True:

# 获取当前帧并初始化occupied/unoccupied文本

(grabbed, frame) = camera.read()

text = "Unoccupied"

# 如果不能抓取到一帧，说明我们到了视频的结尾

if not grabbed:

break

# 调整该帧的大小，转换为灰阶图像并且对其进行高斯模糊

frame = imutils.resize(frame, width=500)

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

gray = cv2.GaussianBlur(gray, (21, 21), 0)

# 如果第一帧是None，对其进行初始化

if firstFrame is None:

firstFrame = gray

continue