总有些东西需要存

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# -*- coding:utf-8 -*-
 
####################################
# Author dream10201                #
# E-mail [email protected]          #
# Created Time 2018/09/05 14:44:16 #
####################################
import argparse
import datetime
import imutils
import time
import cv2

# 打开摄像头
camera = cv2.VideoCapture(0)

# 初始化视频流第一帧
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_original = 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_original, 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
    # 计算当前帧和第一帧的不同
    frameDelta = cv2.absdiff(firstFrame, gray)
    thresh = cv2.threshold(frameDelta, 25, 255, cv2.THRESH_BINARY)[1]

    # 扩展阀值图像填充孔洞，然后找到阀值图像上的轮廓
    thresh = cv2.dilate(thresh, None, iterations=30)
    binary,contours,hierarchy = cv2.findContours(thresh.copy(), cv2.RETR_EXTERNAL,cv2.CHAIN_APPROX_SIMPLE)

    # 遍历轮廓
    for c in contours:
        # if the contour is too small, ignore it
        print(cv2.contourArea(c))
        #if cv2.contourArea(c) < args["min_area"]:
        #    continue

        # compute the bounding box for the contour, draw it on the frame,
        # and update the text
        # 计算轮廓的边界框，在当前帧中画出该框
        (x, y, w, h) = cv2.boundingRect(c)
        cv2.rectangle(frame, (x, y), (x + w, y + h), (0, 255, 0), 2)
        text = "Occupied"
        #cv2.imwrite('img/'+str(time.time())+".jpg",frame_original)
    # 在当前帧上写文字以及时间戳
    cv2.putText(frame, "Room Status: {}".format(text), (10, 20),
        cv2.FONT_HERSHEY_SIMPLEX, 0.5, (0, 0, 255), 2)
    cv2.putText(frame, datetime.datetime.now().strftime("%A %d %B %Y %I:%M:%S%p"),
        (10, frame.shape[0] - 10), cv2.FONT_HERSHEY_SIMPLEX, 0.35, (0, 0, 255), 1)

    #显示当前帧并记录用户是否按下按键
    cv2.imshow("Security Feed", frame)
    cv2.imshow("Thresh", thresh)
    cv2.imshow("Frame Delta", frameDelta)
    if cv2.waitKey(1) & 0xFF == ord('q'):
        break
    firstFrame = gray
# 清理摄像机资源并关闭打开的窗口
camera.release()
cv2.destroyAllWindows()