demo.cpp
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#include <stdio.h>
#include <iostream>
#include <time.h>
#include <stdlib.h>
#ifdef _MSC_VER
#include <windows.h>
#endif
#include "highgui.h"
#include "cv.h"
#include <deque>
#include <opencv2/opencv.hpp>
#include "left_over_det.h"
#include <chrono>
#include "RegionAssist.h"
using namespace std;
using namespace cv;
void test_left_over_det();
int main()
{
test_left_over_det();
system("pause");
}
#include <cv.h>
#include <highgui.h>
void test_left_over_det()
{
char imgpath[260];
CvCapture* video1 = cvCaptureFromFile("./video2.mp4");
// 用opencv函数读取视频的一帧
IplImage *src = cvQueryFrame(video1);
void *tools = nullptr;
rs_param param;
param.frame_num = 100;
param.rect_num = 2;
param.max_obj_num = 10;
param.process_width = src->width;
param.process_height = src->height;
param.min_area = 10;
param.max_area = 10000;
{
int index = 0;
param.rect[index].point_num = 5;
param.rect[index].p_roi[0].x_ = 560;
param.rect[index].p_roi[0].y_ = 0;
param.rect[index].p_roi[1].x_ = 1425;
param.rect[index].p_roi[1].y_ = 0;
param.rect[index].p_roi[2].x_ = 1400;
param.rect[index].p_roi[2].y_ = 260;
param.rect[index].p_roi[3].x_ = 560;
param.rect[index].p_roi[3].y_ = 290;
param.rect[index].p_roi[4].x_ = 560;
param.rect[index].p_roi[4].y_ = 0;
index = 1;
param.rect[index].point_num = 5;
param.rect[index].p_roi[0].x_ = 550;
param.rect[index].p_roi[0].y_ = 300;
param.rect[index].p_roi[1].x_ = 1390;
param.rect[index].p_roi[1].y_ = 260;
param.rect[index].p_roi[2].x_ = 1390;
param.rect[index].p_roi[2].y_ = 620;
param.rect[index].p_roi[3].x_ = 580;
param.rect[index].p_roi[3].y_ = 650;
param.rect[index].p_roi[4].x_ = 550;
param.rect[index].p_roi[4].y_ = 300;
}
#ifndef _MSC_VER
strcpy(param.auth.url, "192.168.10.4");
param.auth.port = 8888;
#endif
param.type = PRODUCT_ID;
if (rs_init(&tools, param) != 0)
{
cout << "hp_init ailed!" << endl;
return;
}
else
{
printf("hp_init suceed!\n");
}
//初始化背景图片
int init_bk_framecount = 0;
while (src && init_bk_framecount < 1)
{
//src = cvQueryFrame(video1); //正常使用 可初始化诺干帧 直到取到没有人的干净的背景画面
cv::Mat back_image = cv::imread("base_rgb.jpg");
sy_img img;
img.set_data(back_image.cols, back_image.rows, back_image.channels(), (unsigned char *)back_image.data);
rs_init_background(tools, img);
init_bk_framecount++;
}
while (src)
{
src = cvQueryFrame(video1);
//auto frame = cvCloneImage(src);
if (!src)
break;
sy_img syimg;
syimg.set_data(src->width, src->height, src->nChannels, (unsigned char *)src->imageData);
rs_result result{};
result.obj_infos = new ms_object_info[param.max_obj_num]{};
rs_process(tools, syimg, &result);
ExternalRectangle((unsigned char*)(src->imageData), src->width, src->height, result.obj_infos, result.obj_count, src->widthStep, 1);
std::string str;
std::string alarm;
for (int i = 0; i < result.obj_count; i++)
{
{
if (result.obj_infos[i].pb_alarm_type)
{
switch (result.obj_infos[i].pb_alarm_type)
{
case 1:
printf("obj %d: 进入禁区\n", result.obj_infos[i].unique_id);
str = " 有目标闯入禁区 ";
break;
case 2:
printf("obj %d: 离开禁区\n", result.obj_infos[i].unique_id);
str = " 有目标离开禁区 ";
break;
case 3:
printf("obj %d: 单向越界\n", result.obj_infos[i].unique_id);
str = " 有目标单向越界 ";
break;
case 4:
printf("obj %d: 双向越界\n", result.obj_infos[i].unique_id);
str = " 有目标越界 ";
break;
case 5:
printf("obj %d: 徘徊\n", result.obj_infos[i].unique_id);
str = " 有目标在禁区内徘徊 ";
break;
case 6:
printf("obj %d: 丢包\n", result.obj_infos[i].unique_id);
str = " 丢包 ";
break;
default:
break;
}
}
else
{
;
}
}
}
delete[] result.obj_infos;
//cvWriteFrame(writer, srcscale);
// 图像显示
cvShowImage("1channels", src);
//cvReleaseImage(&frame);
cvWaitKey(1);
//break;
}
rs_release(&tools);
cvReleaseImage(&src);
cvReleaseCapture(&video1);
}