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| 1 | +# -*- coding: utf-8 -*- |
| 2 | + |
| 3 | +import cv2 |
| 4 | +import json |
| 5 | +import time |
| 6 | +import imutils |
| 7 | +import argparse |
| 8 | +import datetime |
| 9 | +import warnings |
| 10 | +import uuid |
| 11 | + |
| 12 | +from requests import Session |
| 13 | +from picamera import PiCamera |
| 14 | +from picamera.array import PiRGBArray |
| 15 | + |
| 16 | + |
| 17 | +# 参数解析 |
| 18 | +ap = argparse.ArgumentParser() |
| 19 | +ap.add_argument("-c", "--conf", required=True, help="path to the JSON configuration file") |
| 20 | +ap.add_argument('-s', "--show", required=True, help="is show video") |
| 21 | +args = vars(ap.parse_args()) |
| 22 | + |
| 23 | +# 过滤警告，加载配置文件 |
| 24 | +warnings.filterwarnings("ignore") |
| 25 | +conf = json.load(open(args["conf"])) |
| 26 | + |
| 27 | +# 初始化requests session |
| 28 | +s_request = Session() |
| 29 | + |
| 30 | +# 初始化摄像头并且获取一个指向原始数据的引用 |
| 31 | +camera = PiCamera() |
| 32 | +camera.resolution = tuple(conf["resolution"]) |
| 33 | +camera.framerate = conf["fps"] |
| 34 | +rawCapture = PiRGBArray(camera, size=tuple(conf["resolution"])) |
| 35 | + |
| 36 | +# 等待摄像头启动初始化平均值 |
| 37 | +print "[INFO] warming up..." |
| 38 | +time.sleep(conf["camera_warmup_time"]) |
| 39 | +avg = None |
| 40 | +lastUploaded = datetime.datetime.now() |
| 41 | +motionCounter = 0 |
| 42 | + |
| 43 | +# 从摄像头捕获数据 |
| 44 | +for f in camera.capture_continuous(rawCapture, format="bgr", use_video_port=True): |
| 45 | + # 抓取原始NumPy数组来表示图像并且初始化 |
| 46 | + frame = f.array |
| 47 | + # 时间戳以及occupied/unoccupied文本 |
| 48 | + timestamp = datetime.datetime.now() |
| 49 | + # 无人入侵 |
| 50 | + text = "Unoccupied" |
| 51 | + |
| 52 | + # 调整图像尺寸 |
| 53 | + frame = imutils.resize(frame, width=320) |
| 54 | + # bgr 图像转 灰度图像 |
| 55 | + gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY) |
| 56 | + # 0 是指根据窗口大小（21, 21）来计算高斯函数标准差 |
| 57 | + gray = cv2.GaussianBlur(gray, (21, 21), 0) |
| 58 | + |
| 59 | + # 初始化平均值 |
| 60 | + if avg is None: |
| 61 | + print "[INFO] starting background model..." |
| 62 | + # 浮点数转化 |
| 63 | + avg = gray.copy().astype("float") |
| 64 | + # 依据尺寸来截取图像 |
| 65 | + rawCapture.truncate(0) |
| 66 | + continue |
| 67 | + |
| 68 | + # 累计当前帧，计算加权平均值 |
| 69 | + cv2.accumulateWeighted(gray, avg, 0.5) |
| 70 | + frameDelta = cv2.absdiff(gray, cv2.convertScaleAbs(avg)) |
| 71 | + |
| 72 | + # 计算阈值，膨胀阈值图像 |
| 73 | + thresh = cv2.threshold(frameDelta, conf["delta_thresh"], 255, cv2.THRESH_BINARY)[1] |
| 74 | + thresh = cv2.dilate(thresh, None, iterations=2) |
| 75 | + # 发现入侵图像轮廊 |
| 76 | + (_, cnts, _) = cv2.findContours(thresh.copy(), cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE) |
| 77 | + |
| 78 | + # 遍历轮廊线 |
| 79 | + for c in cnts: |
| 80 | + # 如果轮廊小于min_area 则忽略他 |
| 81 | + if cv2.contourArea(c) < conf["min_area"]: |
| 82 | + continue |
| 83 | + # 计算轮廊线, |
| 84 | + (x, y, w, h) = cv2.boundingRect(c) |
| 85 | + # 画出轮廊矩阵 |
| 86 | + cv2.rectangle(frame, (x, y), (x + w, y + h), (0, 255, 0), 2) |
| 87 | + # 更新入侵状态 |
| 88 | + text = "Occupied" |
| 89 | + |
| 90 | + # 在当前帧数上标记文本和时间戳 |
| 91 | + ts = timestamp.strftime("%Y %I:%M:%S") |
| 92 | + cv2.putText( |
| 93 | + frame, |
| 94 | + "Room Status: {}".format(text), |
| 95 | + (10, 20), cv2.FONT_HERSHEY_SIMPLEX, |
| 96 | + 0.5, (0, 0, 255), 2) |
| 97 | + cv2.putText( |
| 98 | + frame, |
| 99 | + ts, (10, frame.shape[0] - 10), |
| 100 | + cv2.FONT_HERSHEY_SIMPLEX, |
| 101 | + 0.35, (0, 0, 255), 1 |
| 102 | + ) |
| 103 | + |
| 104 | + # 检查房间是否被入侵 |
| 105 | + if text == "Occupied": |
| 106 | + # 判断上一次上传数据图像时间是否达到上传间隔 |
| 107 | + if (timestamp - lastUploaded).seconds >= conf["min_upload_seconds"]: |
| 108 | + # 增加计数器 |
| 109 | + motionCounter += 1 |
| 110 | + |
| 111 | + # 判断连续运动时间是否已经足够多 |
| 112 | + if motionCounter >= conf["min_motion_frames"]: |
| 113 | + # 写入零时图片 |
| 114 | + file_uuid = uuid.uuid1() |
| 115 | + if conf.get('tmp_image_path'): |
| 116 | + tmp_path = os.path.join( |
| 117 | + conf.get('tmp_image_path'), |
| 118 | + '{file_uuid}.jpg'.format(file_uuid=file_uuid) |
| 119 | + ) |
| 120 | + else: |
| 121 | + tmp_path = os.path.join( |
| 122 | + './result', |
| 123 | + '{file_uuid}.jpg'.format(file_uuid=file_uuid) |
| 124 | + ) |
| 125 | + cv2.imwrite(tmp_path, frame) |
| 126 | + # 将入侵图像上传到服务器 |
| 127 | + try: |
| 128 | + resp = s_request.request( |
| 129 | + 'POST', conf['web_hook'], |
| 130 | + files={'file': open(tmp_path, 'r')} |
| 131 | + ) |
| 132 | + if resp.status_code == 201: |
| 133 | + print u'上传图片成功' |
| 134 | + except Exception: |
| 135 | + print u'上传图片失败' |
| 136 | + motionCounter = 0 |
| 137 | + lastUploaded = timestamp |
| 138 | + # 房间没有被入侵 |
| 139 | + else: |
| 140 | + motionCounter = 0 |
| 141 | + # 查看是否将视频显示在桌面 |
| 142 | + if args['show'] == 'True': |
| 143 | + # display the security feed |
| 144 | + cv2.imshow("Security Feed", frame) |
| 145 | + key = cv2.waitKey(1) & 0xFF |
| 146 | + # 如果用户键盘输入q则退出程序 |
| 147 | + if key == ord("q"): |
| 148 | + break |
| 149 | + # 清理数据 |
| 150 | + rawCapture.truncate(0) |
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