【最新】基于OpenCV图像采集的人脸识别网络推流及局域网无线控制系统（将图像在URL地址上输出，可做成网络摄像头，带识别框）

import cv2 from flask import Flask, render_template, Response, request import threading import socket #import tkinter as tk local_ip = str(socket.gethostbyname(socket.gethostname())) local_post = 1212 app = Flask(__name__) cap = cv2.VideoCapture(0) # 开启摄像头 classifier = cv2.CascadeClassifier('haarcascade_frontalface_default.xml') @app.route('/', methods=['GET', 'POST']) def index(): global command_str command_str = None if request.method == 'POST': c0 = str(request.form.get('change')) c1 = str(request.form.get('quit')) c2 = str(request.form.get('left')) c3 = str(request.form.get('right')) c4 = str(request.form.get('stop')) c5 = str(request.form.get('reset')) c6 = str(request.form.get('set')) print(c0,c1,c2,c3,c4,c5,c6) for i in [c0,c1,c2,c3,c4,c5,c6]: if i != "None": command_str = i break print(command_str) return render_template('index.html') def track(): global faceImg global q global command_str command_str = None q = 0 while True: ok, faceImg = cap.read() # 读取摄像头图像 faceImg = cv2.flip(faceImg,1) if ok is False: print('无法读取到摄像头！') break gray = cv2.cvtColor(faceImg,cv2.COLOR_BGR2GRAY) faceRects = classifier.detectMultiScale(gray,scaleFactor=1.2,minNeighbors=3,minSize=(32, 32)) if len(faceRects): for faceRect in faceRects: x,y,w,h = faceRect # 框选出人脸 最后一个参数2是框线宽度 cv2.rectangle(faceImg,(x, y), (x + w, y + h), (0,255,0), 2) cv2.imshow("http://"+local_ip+":"+str(local_post)+"/ (img: video_feed)",faceImg) # 展示图像 if command_str == "复位": print("Reset") elif command_str == "标定": print("Set") elif command_str == "切换": print("Change") elif command_str == "左移": print("Left") elif command_str == "右移": print("Right") elif command_str == "停止": print("Stop") else: command_str = command_str if cv2.waitKey(10) == 27 or command_str == "退出": # 通过esc键退出摄像 command_str = None print("Quit") break command_str = None cap.release() cv2.destroyAllWindows() q = 1 def send_img(): global faceImg global q q = 0 while True: image = cv2.imencode('.jpg', faceImg)[1].tobytes() yield (b'--frame\r\n' b'Content-Type: image/jpeg\r\n\r\n' + image + b'\r\n') if q==1: break return @app.route('/video_feed') def video_feed(): return Response(send_img(), mimetype='multipart/x-mixed-replace; boundary=frame') def start_server(): app.run(host='0.0.0.0', port=local_post) #def central_win(win): # win.resizable(0,0) # 不可缩放 # screenwidth = win.winfo_screenwidth() # 获取屏幕分辨率宽 # screenheight = win.winfo_screenheight() # 获取屏幕分辨率高 # win.update() # 更新窗口 # width = win.winfo_width() # 重新赋值 # height = win.winfo_height() # size = '+%d+%d' % ((screenwidth - width)/2, (screenheight - height)/2) # # 重新赋值大小 大小为屏幕大小/2 # win.geometry(size) # 以新大小定义窗口 # #def info_win(str_list): # info=tk.Tk() # info.title("小提示") # info.attributes('-topmost',1) # infofram=tk.Frame(info,width=320, height=260) # infofram.grid_propagate(0) # infofram.grid() # central_win(info) # # labelName=tk.Label(info, text=str_list, justify=tk.LEFT) # labelName.place(x=10, y=20, width=300, height=160) # # def go_info(): # info.destroy() # # tk.Button(infofram,width=30,text="确定",command=go_info).place(x=10, y=200, width=300, height=40) # # info.mainloop() # return #def ip_win(): # info_win("本机IP地址为："+local_ip) #thread_win = threading.Thread(target=ip_win) #thread_win.setDaemon(True) #thread_win.start() thread_img = threading.Thread(target=track) thread_img.setDaemon(True) thread_img.start() thread_send = threading.Thread(target=start_server) thread_send.setDaemon(True) thread_send.start()