import cv2
import time
import requests
capture = cv2.VideoCapture(0)#獲取攝像頭對(duì)象
casc_path = "haarcascade_frontalface_default.xml"
faceCascade = cv2.CascadeClassifier(casc_path)
color = (0, 255, 0)
font = cv2.FONT_HERSHEY_SIMPLEX
 
 
end_time=0
countdown=0
while(True):
    #讀取一幀圖像
    ret,frame=capture.read()#第一個(gè)返回值是bool值，判斷是否有圖像，第二個(gè)就是圖像
    if ret:
        #轉(zhuǎn)換為灰度圖
        grey = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
        faceRects = faceCascade.detectMultiScale(grey, scaleFactor = 1.2, minNeighbors = 3, minSize = (32, 32))#這是一個(gè)數(shù)組，可以輸出來(lái)看一下，有人臉的大小范圍的參數(shù)
        count = str(len(faceRects))
 
        if int(count) > 0:      #大于0則檢測(cè)到人臉
            start_time = time.time()#要判斷發(fā)送請(qǐng)求的時(shí)間間隔，兩次間隔不能少于30秒，不然體驗(yàn)很不好
            if end_time<1:
                requests.get("http://192.168.1.165:8080/")
                end_time = time.time()
            countdown= int(start_time-end_time)   
            if start_time-end_time>30:
                requests.get("http://192.168.1.165:8080/") #每次重啟電腦都要更換內(nèi)網(wǎng)ip
                end_time = time.time()
            for faceRect in faceRects: #繪制框框，單獨(dú)框出每一張人臉
                x, y, w, h = faceRect    
                cv2.rectangle(frame, (x - 10, y - 10), (x + w + 10, y + h + 10), color, 2)                     
        cv2.putText(frame, "count:"+count, (10, 40), font, 0.8, (0, 255, 255), 2)#添加一個(gè)人臉個(gè)數(shù)的文字顯示
        #顯示圖像
        cv2.imshow("test", frame)    
        c = cv2.waitKey(10)#等待退出鍵
        if c & 0xFF == ord('q'):
          break

# -*- coding: UTF-8 -*-
import web
import pyautogui
import time
urls = (
    '/(.*)', 'hello'
)
 
app = web.application(urls, globals())
 
class hello:
    def GET(self, name):
 
        pyautogui.keyDown('win')
        pyautogui.keyDown('d')
        pyautogui.keyUp('d')
        pyautogui.keyUp('win')
        print("執(zhí)行")
        return "go"
 
if __name__ == "__main__":
    app.run()