python入门python-Day23.rar

# -*- coding: utf-8 -*- # import 进openCV的库 import cv2 import os import time from wxpy import * """ 树莓派打造智能看门狗 sudo pip3 install opencv-python sudo pip3 install wechat_sender """ bot = Bot() my_friend = bot.friends().search('监控狗')[0] # 调用摄像头检测人脸并截图 def camera(window_name, path_name): # Linux 不显示图形界面 # cv2.namedWindow(window_name) # 视频来源，来自USB摄像头 cap = cv2.VideoCapture(0) # 告诉OpenCV使用人脸识别分类器 classfier = cv2.CascadeClassifier(os.getcwd()+"/haarcascade/haarcascade_frontalface_alt.xml") # 识别出人脸后要画的边框的颜色，RGB格式, color是一个不可增删的数组 color = (0, 255, 0) num = 0 while cap.isOpened(): ok, frame = cap.read() # 读取一帧数据 if not ok: break # 将当前桢图像转换成灰度图像 grey = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY) # 人脸检测，1.2和2分别为图片缩放比例和需要检测的有效点数 faceRects = classfier.detectMultiScale(grey, scaleFactor=1.2, minNeighbors=3, minSize=(32, 32)) if len(faceRects) > 0: # 大于0则检测到人脸 for faceRect in faceRects: # 单独框出每一张人脸 x, y, w, h = faceRect num = num+1 # 将当前帧保存为图片 img_name = "%s/%d.jpg" % (path_name, num) image = frame[y - 10: y + h + 10, x - 10: x + w + 10] cv2.imwrite(img_name, image, [int(cv2.IMWRITE_PNG_COMPRESSION), 9]) print("有人来了~~~") alarm(num) # 延迟 60s，不要太频繁的发送，知道来了就可以了 time.sleep(60) # 画出矩形框 cv2.rectangle(frame, (x - 10, y - 10), (x + w + 10, y + h + 10), color, 2) # 显示当前捕捉到了多少人脸图片了 font = cv2.FONT_HERSHEY_SIMPLEX cv2.putText(frame, 'num:%d/1000' % (num), (x + 30, y + 30), font, 1, (255, 0, 255), 4) # 显示图像 Linux 下注释掉即可 # cv2.imshow(window_name, frame) c = cv2.waitKey(10) if c & 0xFF == ord('q'): break # 释放摄像头并销毁所有窗口 cap.release() cv2.destroyAllWindows() def alarm(num): print("发送微信通知") # 看门狗 my_friend.send('有人闯进卧室了!') my_friend.send_image(os.getcwd()+"/dog/"+str(num)+".jpg") if __name__ == '__main__': camera("watchdog", os.getcwd()+"/dog")