#include <iostream>

#include<opencv2/opencv.hpp>

using namespace cv;

using namespace std;

int main()

{

	//1.从摄像头读入视频

	//VideoCapture cap(0);

	VideoCapture cap("rtsp://admin:fhy145145@192.168.1.62/Streaming/Channels/2"); //1 主码流 1 1280*680   2 次码流620*480

	if (!cap.isOpened())

	{

		return 0;

	}

	Mat cam;

	cap >> cam;//获取当前帧图像

	cout << "Im.rows  = " << cam.rows << endl;

	cout << "Im.cols  = " << cam.cols << endl;

	//cout << "视频宽度=" << width << endl;

	//cout << "视频高度=" << height << endl;

	//2.循环显示每一帧

	while (1)

	{

		cap >> cam;//获取当前帧图像

		if (!cam.empty())//如果某帧为空则退出循环

		{

	    namedWindow("相机", 0);

		imshow("相机", cam);//显示当前帧图像

	   waitKey(30);//延时30秒

		}

	}

	return 0;

}

#!/usr/bin/env python3

# -*- coding:utf-8 -*-

import cv2

import os

font = cv2.FONT_HERSHEY_SIMPLEX

#url='rtsp://admin:fhy145145@192.168.1.62/Streaming/Channels/1' #海康

url = 'http://192.168.1.89/webcapture.jpg?command=snap&channel=1' #雄迈

#url='rtsp://192.168.1.89：554/user=admin&password=&channel=1&stream=0.sdp?'

cam = cv2.VideoCapture(url)

cam.set(3, 640) # set video width

cam.set(4, 480) # set video height

face_detector = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')

# For each person, enter one numeric face id

face_id = input('\n 请输入用户数字编号(只能是数字)：   ')

print("\n [INFO] Initializing face capture. Look the camera and wait ...")

# Initialize individual sampling face countdsa

count = 0

while(True):

    ret, img = cam.read()

    cv2.putText(img, str(count), (5,80), font, 1, (255,255,255), 2)

   # cv2.putText(img, str("change face!"), (5,40), font, 1, (255,255,255), 2)

   # img = cv2.flip(img, -1) # flip video image vertically

    gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)

    faces = face_detector.detectMultiScale(gray, 1.3, 5)

    for (x,y,w,h) in faces:

        cv2.rectangle(img, (x,y), (x+w,y+h), (255,0,0), 2)   #

        cv2.putText(img, str("Perss s to save face!"), (5,40), font, 1, (255,255,255), 2)

       # cv2.imshow('image', img)

        k = cv2.waitKey(10) & 0xff # Press 'ESC' for exiting video

        if k == ord('s'):

            count += 1

            cv2.imwrite("dataset/User." + str(face_id) + '.' + str(count) + ".jpg", gray[y:y+h,x:x+w])

            break

        elif k == 27:

            break

    cv2.imshow('image', img)

    k = cv2.waitKey(10) & 0xff # Press 'ESC' for exiting video

    if k == 27:

        break

    elif count >= 30: # Take 30 face sample and stop video

         break

# Do a bit of cleanup

print("\n [INFO] Exiting Program and cleanup stuff")

cam.release()

cv2.destroyAllWindows()