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| 1 | +#coding:utf-8 |
| 2 | +# 导入必要的软件包 |
| 3 | +import argparse |
| 4 | +import datetime |
| 5 | +import imutils |
| 6 | +import time |
| 7 | +import cv2 |
| 8 | + |
| 9 | +# 创建参数解析器并解析参数 |
| 10 | +ap = argparse.ArgumentParser() |
| 11 | +ap.add_argument("-v", "--video", help="path to the video file") |
| 12 | +ap.add_argument("-a", "--min-area", type=int, default=500, help="minimum area size") |
| 13 | +args = vars(ap.parse_args()) |
| 14 | + |
| 15 | +# 如果video参数为None，那么我们从摄像头读取数据 |
| 16 | +if args.get("video", None) is None: |
| 17 | + camera = cv2.VideoCapture(0) |
| 18 | + time.sleep(0.25) |
| 19 | + |
| 20 | +# 否则我们读取一个视频文件 |
| 21 | +else: |
| 22 | + camera = cv2.VideoCapture(args["video"]) |
| 23 | + |
| 24 | +# 初始化视频流的第一帧 |
| 25 | +firstFrame = None |
| 26 | + |
| 27 | +# 遍历视频的每一帧 |
| 28 | +while True: |
| 29 | + # 获取当前帧并初始化occupied/unoccupied文本 |
| 30 | + (grabbed, frame) = camera.read() |
| 31 | + text = "Unoccupied" |
| 32 | + |
| 33 | + # 如果不能抓取到一帧，说明我们到了视频的结尾 |
| 34 | + if not grabbed: |
| 35 | + break |
| 36 | + |
| 37 | + # 调整该帧的大小，转换为灰阶图像并且对其进行高斯模糊 |
| 38 | + frame = imutils.resize(frame, width=500) |
| 39 | + gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY) |
| 40 | + gray = cv2.GaussianBlur(gray, (21, 21), 0) |
| 41 | + |
| 42 | + # 如果第一帧是None，对其进行初始化 |
| 43 | + if firstFrame is None: |
| 44 | + firstFrame = gray |
| 45 | + continue |
| 46 | +# 计算当前帧和第一帧的不同 |
| 47 | + frameDelta = cv2.absdiff(firstFrame, gray) |
| 48 | + thresh = cv2.threshold(frameDelta, 25, 255, cv2.THRESH_BINARY)[1] |
| 49 | + |
| 50 | + # 扩展阀值图像填充孔洞，然后找到阀值图像上的轮廓 |
| 51 | + thresh = cv2.dilate(thresh, None, iterations=2) |
| 52 | + (cnts, _) = cv2.findContours(thresh.copy(), cv2.RETR_EXTERNAL, |
| 53 | + cv2.CHAIN_APPROX_SIMPLE) |
| 54 | + |
| 55 | + # 遍历轮廓 |
| 56 | + for c in cnts: |
| 57 | + # if the contour is too small, ignore it |
| 58 | + if cv2.contourArea(c) < args["min_area"]: |
| 59 | + continue |
| 60 | + |
| 61 | + # compute the bounding box for the contour, draw it on the frame, |
| 62 | + # and update the text |
| 63 | + # 计算轮廓的边界框，在当前帧中画出该框 |
| 64 | + (x, y, w, h) = cv2.boundingRect(c) |
| 65 | + cv2.rectangle(frame, (x, y), (x + w, y + h), (0, 255, 0), 2) |
| 66 | + text = "Occupied" |
| 67 | +# draw the text and timestamp on the frame |
| 68 | + # 在当前帧上写文字以及时间戳 |
| 69 | + cv2.putText(frame, "Room Status: {}".format(text), (10, 20), |
| 70 | + cv2.FONT_HERSHEY_SIMPLEX, 0.5, (0, 0, 255), 2) |
| 71 | + cv2.putText(frame, datetime.datetime.now().strftime("%A %d %B %Y %I:%M:%S%p"), |
| 72 | + (10, frame.shape[0] - 10), cv2.FONT_HERSHEY_SIMPLEX, 0.35, (0, 0, 255), 1) |
| 73 | + |
| 74 | + # 显示当前帧并记录用户是否按下按键 |
| 75 | + cv2.imshow("Security Feed", frame) |
| 76 | + cv2.imshow("Thresh", thresh) |
| 77 | + cv2.imshow("Frame Delta", frameDelta) |
| 78 | + key = cv2.waitKey(1) & 0xFF |
| 79 | + |
| 80 | + # 如果q键被按下，跳出循环 |
| 81 | + if key == ord("q"): |
| 82 | + break |
| 83 | + |
| 84 | +# 清理摄像机资源并关闭打开的窗口 |
| 85 | +camera.release() |
| 86 | +cv2.destroyAllWindows() |
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