Zou XiKun / left_over

#include <stdio.h>
#include <iostream>
#include <time.h>
#include <stdlib.h>

#include "MSRegionSurveilance.h"
#include "highgui.h"
#include "cv.h"
#include "RegionAssist.h"

#include "time_debug.h"

#include <opencv2/opencv.hpp>


using namespace std;
//using namespace cv;

void imag_ana_1channels();
void imag_ana_3channels();

int main()
{
	imag_ana_1channels();
	//imag_ana_3channels();

	system("pause");
}


void imag_ana_3channels()
{
	//AlarmInfo 1进入禁区 2离开禁区 3单向越界 4双向越界 5徘徊 6丢包
	int numROI = 1;

	debug_time_t stime, etime;

	RegionInfo* pRegionInfo = new RegionInfo[numROI];
	int LeftPointX = 1050;
	int LeftPointY = 450;
	int RightPointX = 1400;
	int RightPointY = 600;

	// 进入禁区
	pRegionInfo[0].AlarmInfo = 1;
	pRegionInfo[0].nPointNum = 4;
	pRegionInfo[0].pROI[0].x = LeftPointX;
	pRegionInfo[0].pROI[0].y = LeftPointY;
	pRegionInfo[0].pROI[1].x = RightPointX;
	pRegionInfo[0].pROI[1].y = LeftPointY;
	pRegionInfo[0].pROI[2].x = RightPointX; 
	pRegionInfo[0].pROI[2].y = RightPointY;
	pRegionInfo[0].pROI[3].x = LeftPointX;
	pRegionInfo[0].pROI[3].y = RightPointY;
	
	//pRegionInfo[0].AlarmInfo = 1;
	//pRegionInfo[0].nPointNum = 4;
	//pRegionInfo[0].pROI[0].x = LeftPointX/*226*/;
	//pRegionInfo[0].pROI[0].y = LeftPointY;
	//pRegionInfo[0].pROI[1].x = RightPointX/*223*/;
	//pRegionInfo[0].pROI[1].y = LeftPointY;
	//pRegionInfo[0].pROI[2].x = LeftPointX/*223*/;
	//pRegionInfo[0].pROI[2].y = RightPointY;
	//pRegionInfo[0].pROI[3].x = RightPointX/*223*/;
	//pRegionInfo[0].pROI[3].y = RightPointY;
	//pRegionInfo[0].dirPoint.x = 200;//用于定义方向的点 位于合法方向指向的一侧
	//pRegionInfo[0].dirPoint.y = 109;

	// 定义
	MS_RegionSurveillance MS1;
	IRegionSurveillance* test = MS1.GetMS_RS();
	if (!test)
	{
		printf("model initial failed");
		exit(0);
	}

	CvCapture* video1 = cvCaptureFromFile("../../data/test1.mp4");
	// 用opencv函数读取视频的一帧
	IplImage * src = cvQueryFrame(video1);
	IplImage * srcscale = cvCreateImage(cvSize(src->width, src->height), 8, 3);
	cvResize(src, srcscale);
	// 获得图像信息
	int width = srcscale->width;
	int height = srcscale->height;
	int widthstep = srcscale->widthStep;
	int nChannel = srcscale->nChannels;

	int frameCount = 0; // 处理的图像序号
	MS_ObjectInfo *ObjInfo = NULL;  // 结果结构体
	int ObjCount;
	int error_flag;

	long total_t = 0;
	// 循环处理视频的每一帧 
	while (src)
	{
		src = cvQueryFrame(video1);

		if (!src)
			break;

		cvResize(src, srcscale);

		// 如果当前处理的是第一帧，则要进行初始化
		if (frameCount == 0)
		{
			error_flag = test->RSinit(width, height, widthstep, (unsigned char*)(srcscale->imageData), nChannel, 3, 0, 10, 1000000);
			if (error_flag == 0)
			{
				cout << "设置有问题！！！" << endl;
				return;
			}


			error_flag = test->RSRegion(numROI, pRegionInfo, false);
			if (error_flag == 0)
			{
				cout << "区域设置有问题！！！" << endl;
				return;
			}


		}
		GetTime(&stime);

		// 智能分析
		test->RSDetect((unsigned char*)(srcscale->imageData), pRegionInfo);

		GetTime(&etime);
		total_t += CalcTimeDiff(&stime, &etime);
		//printf("RSDetect %d:%ld fps\n", frameCount, cost_t);

		// 获取智能分析结果
		ObjCount = test->getObjectNum();
		ObjInfo = new MS_ObjectInfo[ObjCount];
		test->getObjectInfo(ObjCount, ObjInfo);
		printf("alram:\n");
		for (int i = 0; i < ObjCount; i++)
		{
			if (ObjInfo[i].pbAlarmType[0])
			{
				switch (ObjInfo[i].pbAlarmType[0])
				{
				case 1:
					printf("obj %d: 进入禁区\n", ObjInfo[i].UniqueID);
					break;
				case 2:
					printf("obj %d: 离开禁区\n", ObjInfo[i].UniqueID);
					break;
				case 3:
					printf("obj %d: 单向越界\n", ObjInfo[i].UniqueID);
					break;
				case 4:
					printf("obj %d: 双向越界\n", ObjInfo[i].UniqueID);
					break;
				case 5:
					printf("obj %d: 徘徊\n", ObjInfo[i].UniqueID);
					break;
				case 6:
					printf("obj %d: 丢包\n", ObjInfo[i].UniqueID);
					break;
				}
			}
		
		}

		cvRectangle(srcscale, cvPoint(LeftPointX, LeftPointY), cvPoint(RightPointX, RightPointY), cvScalar(0, 0, 0));

		// 轨迹描绘
		Trajectory((unsigned char*)(srcscale->imageData), ObjInfo, ObjCount, width, height, widthstep);

		// 目标框描绘
		ExternalRectangle((unsigned char*)(srcscale->imageData), ObjInfo, ObjCount, widthstep, numROI);
		//画出警报区域
		//disp area 1
		/*for (int i = 0; i < numROI; i++)
		{
			cvLine(srcscale, cvPoint(pRegionInfo[i].pROI[0].x, pRegionInfo[i].pROI[0].y),
				cvPoint(pRegionInfo[i].pROI[1].x, pRegionInfo[i].pROI[1].y), cvScalar(255, 0, 255), 1);
			//获取箭头端点坐标

			if (pRegionInfo[i].AlarmInfo == 3)
			{
				cv::Point pStart, pEnd;//by zl
				pStart.x = pRegionInfo[i].ArrowStartPoint.x;
				pStart.y = pRegionInfo[i].ArrowStartPoint.y;
				pEnd.x = pRegionInfo[i].ArrowEndPoint.x;
				pEnd.y = pRegionInfo[i].ArrowEndPoint.y;
				DrawArrow(srcscale, pStart, pEnd, 15, 30);//调用绘制箭头函数
														  //显示dirPoint
				cv::Point pt1;
				pt1.x = pRegionInfo[i].dirPoint.x;
				pt1.y = pRegionInfo[i].dirPoint.y;
				cvLine(srcscale, pt1, pt1, cvScalar(255, 0, 255), 3);
			}
			//
		}*/
		++frameCount;


		// 图像显示
		cvShowImage("3channels", srcscale);

		cvWaitKey(1);

		delete[] ObjInfo;
	} //循环处理结束


	long aver_t = total_t / frameCount;
	printf("aver time:%ld us", aver_t);

	delete[] pRegionInfo;
	test->RSrelease();
	MS1.Destroy();
	cvReleaseCapture(&video1);
	cvReleaseImage(&srcscale);
}



void imag_ana_1channels()
{
	//AlarmInfo 1进入禁区 2离开禁区 3单向越界 4双向越界 5徘徊 6丢包
	int numROI = 1;

	debug_time_t stime, etime;

	RegionInfo* pRegionInfo = new RegionInfo[numROI];

	int LeftPointX = 1050;
	int LeftPointY = 450;
	int RightPointX = 1400;
	int RightPointY = 600;

	// 进入禁区
	int index = 0;
	pRegionInfo[index].AlarmInfo = 1;
	pRegionInfo[index].nPointNum = 4;
	pRegionInfo[index].pROI[0].x = LeftPointX;
	pRegionInfo[index].pROI[0].y = LeftPointY;
	pRegionInfo[index].pROI[1].x = RightPointX;
	pRegionInfo[index].pROI[1].y = LeftPointY;
	pRegionInfo[index].pROI[2].x = RightPointX;
	pRegionInfo[index].pROI[2].y = RightPointY;
	pRegionInfo[index].pROI[3].x = LeftPointX;
	pRegionInfo[index].pROI[3].y = RightPointY;


	index = 0;
	//离开禁区
	pRegionInfo[index].AlarmInfo = 2;
	pRegionInfo[index].nPointNum = 4;
	pRegionInfo[index].pROI[0].x = LeftPointX;
	pRegionInfo[index].pROI[0].y = LeftPointY;
	pRegionInfo[index].pROI[1].x = RightPointX;
	pRegionInfo[index].pROI[1].y = LeftPointY;
	pRegionInfo[index].pROI[2].x = RightPointX;
	pRegionInfo[index].pROI[2].y = RightPointY;
	pRegionInfo[index].pROI[3].x = LeftPointX;
	pRegionInfo[index].pROI[3].y = RightPointY;



	// 定义
	MS_RegionSurveillance MS1;
	IRegionSurveillance* test = MS1.GetMS_RS();
	if (!test)
	{
		printf("model initial failed");
		exit(0);
	}

	CvCapture* video1 = cvCaptureFromFile("../../data/test1.mp4");
	// 用opencv函数读取视频的一帧
	IplImage * src = cvQueryFrame(video1);
	IplImage * srcscale = cvCreateImage(cvSize(src->width, src->height), 8, 3);	//用于缩放 当前先不缩放
	IplImage * gray = cvCreateImage(cvSize(srcscale->width, srcscale->height), 8, 1);
	cvResize(src, srcscale);
	cvCvtColor(srcscale, gray, CV_RGB2GRAY);


	//cv::Mat saveImg = cv::cvarrToMat(src, true);

	//cv::rectangle(saveImg, cv::Rect(1000, 450, 1450-1000, 600-450), cv::Scalar(255, 255, 0), 2);
	//cv::imwrite("img.jpg", saveImg);
	//cv::imshow("image", saveImg);
	//cv::waitKey(0);


	CvVideoWriter *writer = cvCreateVideoWriter("result_2019_9_23.avi", CV_FOURCC('M', 'J', 'P', 'G'), 30, cvSize(srcscale->width, srcscale->height));

	int frameCount = 0; // 处理的图像序号
	MS_ObjectInfo *ObjInfo = NULL;  // 结果结构体
	int ObjCount;
	int error_flag;

	long total_t = 0;

	printf("width = %d height = %d\n", gray->width, gray->height);
	// 循环处理视频的每一帧 
	while (src)
	{
		src = cvQueryFrame(video1);
		if (!src)
			break;
		cvResize(src, srcscale);
		cvCvtColor(srcscale, gray, CV_RGB2GRAY);

		// 如果当前处理的是第一帧，则要进行初始化
		if (frameCount == 0)
		{
			error_flag = test->RSinit(gray->width, gray->height, gray->widthStep,
				(unsigned char*)(gray->imageData), gray->nChannels, 1, 0, 10, 1000000);
			if (error_flag == 0)
			{
				cout << "设置有问题！！！" << endl;
				return;
			}

			error_flag = test->RSRegion(numROI, pRegionInfo, false);
			if (error_flag == 0)
			{
				cout << "区域设置有问题！！！" << endl;
				return;
			}

		}

		GetTime(&stime);

		// 智能分析
		test->RSDetect((unsigned char*)(gray->imageData), pRegionInfo);

		GetTime(&etime);
		total_t += CalcTimeDiff(&stime, &etime);
		printf("detect time:%ld us\n", CalcTimeDiff(&stime, &etime));

		// 获取智能分析结果
		ObjCount = test->getObjectNum();
		ObjInfo = new MS_ObjectInfo[ObjCount];
		test->getObjectInfo(ObjCount, ObjInfo);

		//报警区域
		cvRectangle(srcscale, cvPoint(LeftPointX, LeftPointY), cvPoint(RightPointX, RightPointY), cvScalar(0, 0, 0));

		// 轨迹描绘
		Trajectory((unsigned char*)(srcscale->imageData), ObjInfo, ObjCount, srcscale->width, srcscale->height, srcscale->widthStep);

		// 目标框描绘
		ExternalRectangle((unsigned char*)(srcscale->imageData), ObjInfo, ObjCount, srcscale->widthStep, numROI);
		
		for (int i = 0; i < ObjCount; i++)
		{
			for (int j = 0; j < numROI; j++)
			{
				if (ObjInfo[i].pbAlarmType[j])
				{
					switch (ObjInfo[i].pbAlarmType[j])
					{
					case 1:
						printf("obj %d: 进入禁区\n", ObjInfo[i].UniqueID);
						break;
					case 2:
						printf("obj %d: 离开禁区\n", ObjInfo[i].UniqueID);
						break;
					case 3:
						printf("obj %d: 单向越界\n", ObjInfo[i].UniqueID);
						break;
					case 4:
						printf("obj %d: 双向越界\n", ObjInfo[i].UniqueID);
						break;
					case 5:
						printf("obj %d: 徘徊\n", ObjInfo[i].UniqueID);
						break;
					case 6:
						printf("obj %d: 丢包\n", ObjInfo[i].UniqueID);
						break;
					}
				}
			}
			

		}

		++frameCount;
		cvWriteFrame(writer, srcscale);
		// 图像显示
		cvShowImage("1channels", srcscale);

		cvWaitKey(1);

		delete[] ObjInfo;
	} //循环处理结束

	long aver_t = total_t / frameCount;
	printf("aver time:%ld us", aver_t);

	cvReleaseVideoWriter(&writer);
	delete[] pRegionInfo;
	test->RSrelease();
	MS1.Destroy();
	cvReleaseCapture(&video1);
	cvReleaseImage(&srcscale);
	cvReleaseImage(&gray);

}