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vpt/src/test/VPTTestThread.cppbk20200221 7.21 KB
144cd8c4   Hu Chunming   v6.0.0 替换模型
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  #include <vector>

  #include <iostream>

  #include <fstream>

  #include <time.h>

  #ifdef _MSC_VER

  #include "../VPT/VPT.h"

  #include <windows.h>

  #include <cv.h>

  #include <highgui.h>

  #include <opencv2/opencv.hpp>

  #else

  #include "VPT.h"

  #include <opencv2/core/core.hpp>

  #include <opencv2/highgui/highgui.hpp>

  #include <opencv2/imgproc/imgproc.hpp>

  #endif

  //#include "../VPT/header.h"

  

  #ifndef _MSC_VER

  #include<time.h>

  #include <sys/time.h>

  #include <unistd.h>

  #define Sleep(a) usleep((a)*1000)

  #define MACRO_COUNT_TIME_START(name)  struct timeval macro_tv_start_##name;\

  		struct timeval macro_tv_end_##name;\

  	gettimeofday(&macro_tv_start_##name,NULL);

  #define MACRO_COUNT_TIME_END(name,___total_count___) gettimeofday(&macro_tv_end_##name,NULL);\

  		printf("%s time cost: %.2f ms \n", #name, ( (double)(macro_tv_end_##name.tv_sec-macro_tv_start_##name.tv_sec)*1000000+(double)(macro_tv_end_##name.tv_usec-macro_tv_start_##name.tv_usec)   )/1000/___total_count___);

  #endif

  

  using namespace cv;

  using namespace std;

  

  //检测种类

  const int detectType = 9;

  

  //行人 自行车 摩托车 三轮车 小型车 大车 卡车 拖拉机 中巴

  string type[detectType] = { "person", "bike", "motor", "tricycle", "car", "bigbus", "lorry", "tractor", "midibus" };

  static int color[detectType][3] = { { 41, 244, 222 }, { 255, 128, 0 }, { 100, 13, 244 }, { 255, 215, 0 }, { 18, 220, 87 }, { 0, 128, 0 }, \

  {0, 128, 255}, { 255, 0, 0 }, { 91, 46, 0 } };

  

  

  //返回快照结果回调函数

  void SnapshotInfoCallback(VIDEO_OBJECT_SNAPSHOT *videoObjectSnapshot)

  {

  	cout << videoObjectSnapshot->objectID << " " << videoObjectSnapshot->left << " " << videoObjectSnapshot->right << " " << videoObjectSnapshot->top << " " << videoObjectSnapshot->bottom

  		<< " " << videoObjectSnapshot->firstPicPath << " " << videoObjectSnapshot->secondPicPath << " " << videoObjectSnapshot->taskFrameCount << " " << videoObjectSnapshot->objectIndex << endl;

  }

  

  

  //显示变量

  Mat imgResized;

  bool img_show = false;

  bool show = true;

  

  #ifdef _MSC_VER

  //显示线程

  DWORD WINAPI DiaplayThread(LPVOID param)

  {

  	LARGE_INTEGER nFreq, nSaveBeginTime, nSaveEndTime;

  	QueryPerformanceFrequency(&nFreq);

  

  	while (show)

  	{

  		if (img_show)

  		{

  			cv::imshow("RESULT", imgResized);

  			cv::waitKey(1);

  			img_show = false;

  		}

  		Sleep(1);

  	}

  	return 0;

  }

  #endif

  

  

  

  

  void *pthread_1(void *arg)

  {

     //字体初始化

  	CvFont font;

  	cvInitFont(&font, CV_FONT_HERSHEY_COMPLEX, 1.0, 1.0, 0, 1, 3);

  	int fontFace = CV_FONT_HERSHEY_COMPLEX;

  	double fontScale = 1;

  	int thickness = 2;

  

  	//其他变量

  	Mat img;

  

  

  	int frameCount = 0;

  	const int maxResultCount = 100;

  

  #ifdef _MSC_VER

  	LARGE_INTEGER nFreq, nBeginTime, nEndTime;

  	QueryPerformanceFrequency(&nFreq);

  #endif

  	//初始化

  	//快照保存参数设置

  	SNAPSHOT_PARAMETER ssparam;

  	ssparam.selectFromMinbox = true;

  	ssparam.selectFromMindistance = true;

  

  	//1.设置最小检测框,各种类目标小于最小检测框大小时不进行快照的保存

  	MRECT m_boxsize[DETECTTYPE] = { MRECT(20, 20), MRECT(50, 80), MRECT(50, 80), MRECT(60, 80), MRECT(80, 80), MRECT(90, 90), MRECT(100, 100), MRECT(100, 100), MRECT(100, 100) };  //行人 自行车 摩托车 三轮车 小型车 大车 卡车 拖拉机 中巴

  	//2.设置目标距离画面边框的最小距离,当目标位置与画面边框小于最小距离时不再更新快照

  	int m_distance[EDGES] = { 20, 30, 20, 30 };   //left, top, right, bottom 

  

  	memcpy(ssparam.minBoxsize, m_boxsize, sizeof(MRECT)* DETECTTYPE);

  	memcpy(ssparam.minDistance, m_distance, sizeof(int)* EDGES);

  

  	void * tools = NULL;

  	VPT_PARAM vparam;

  	vparam.gpuid = 0;

  	vparam.maxResultCount = maxResultCount;        //限制算法内部输出的最大前景个数

  	vparam.SnaoshotParameter = &ssparam;

  #ifdef _MSC_VER

  	int res = VPT_Init(tools, vparam, "G:/TestRes", SnapshotInfoCallback);

  #else

  	int res = VPT_Init(tools, vparam, "./", SnapshotInfoCallback);

  #endif

  	if (res != 0)

  	{

  		cout << "VPT Init Failed!" << endl;

  		system("pause");

  		return 0;

  	}

  

  

  

  int iter_count = 1;

  

  //结果变量

  	VPT_Result result;

  	result.obj = new VPT_ObjInfo[maxResultCount];   //设置外部接收结果的最大前景个数

   

  while(iter_count--)

  {

  	VideoCapture cap;

  #ifdef _MSC_VER

  	cap.open("G://TestData//人车物//测试视频1.avi");

  #else

  	cap.open("/mnt/data/sy_vpt_test_data/duan1.avi");

   //cap.open(argv[1]);

  #endif

  	cap.read(img);

   

   

   cv::imwrite("out.jpg", img);

   

  	VideoWriter writer("720.avi", CV_FOURCC('D', 'I', 'V', 'X'), 25.0, Size(img.cols, img.rows));

   

  	

  

  #ifdef _MSC_VER

  	//创建显示线程

  	DWORD dwThreadID = 0;

  	HANDLE handle_display = CreateThread(NULL, 0, DiaplayThread, 0, 0, &dwThreadID);

  #endif

  

  	int start = 0;

  	cap.set(CV_CAP_PROP_POS_FRAMES, start);

  

  	double totalTime = 0.0;

  	//检测

  

  ofstream file("res.txt");

  

  	while (cap.read(img) )

  	{

  		start++;

  		cout << "---------------- " << frameCount << " -----------------" << endl;

  

  #ifdef _MSC_VER

  		QueryPerformanceCounter(&nBeginTime);

  #else

  		MACRO_COUNT_TIME_START(vpt_process);

  #endif

  		VPT_Process(tools, img.data, img.cols, img.rows, img.channels(), frameCount, &result, true);

  

  #ifdef _MSC_VER

  		QueryPerformanceCounter(&nEndTime);

  		totalTime += (double)(nEndTime.QuadPart - nBeginTime.QuadPart) * 1000 / (double)nFreq.QuadPart;

  		printf("Total Time: %.2fms  \n", (double)(nEndTime.QuadPart - nBeginTime.QuadPart) * 1000 / (double)nFreq.QuadPart);

  #else

  		MACRO_COUNT_TIME_END(vpt_process, 1);

  #endif

  		for (int c = 0; c < result.objCount; c++)

  		{

  			char str_i[100];

  

  			sprintf(str_i, "%d_%.2f", result.obj[c].id,result.obj[c].confidence );

  			int colorIndex = result.obj[c].index;

  

  

  			file << start << " " << result.obj[c].id << " " << result.obj[c].index << " " << result.obj[c].left << " " <<

  				result.obj[c].top << " " << result.obj[c].right << " " << result.obj[c].bottom << endl;

  

  			rectangle(img, cvPoint(result.obj[c].left - 5, result.obj[c].top - 15), cvPoint(result.obj[c].right + 5, result.obj[c].bottom + 10), cv::Scalar(color[colorIndex][0], color[colorIndex][1], color[colorIndex][2]), 3, 1);

  			cv::putText(img, str_i, cv::Point(result.obj[c].left, result.obj[c].top), fontFace, fontScale, cv::Scalar(color[colorIndex][0], color[colorIndex][1], color[colorIndex][2]), thickness, 8);

  		}

  

  		cv::resize(img, imgResized, cv::Size(1280, 720));

    // writer << img;

  		img_show = true;

  		frameCount++;

  	}

  	cout << "AVG TIME: " << totalTime / 5000 << endl;

  	cap.release();

  }

  

   

  	//释放

  	show = false;

  	delete[] result.obj;

  

  

  	VPT_Release(tools);

  

  

  #ifdef _MSC_VER

  	system("pause");

  #endif

  	//return 0;

  }

  

  

  int main(int argc, char** argv)

  {

  int iter = 1;

  while(iter--)

  {

   pthread_t tid1;//定义子线程标识符

     pthread_create(&tid1,NULL,pthread_1,NULL);//pthread_1即线程执行函数

     printf("child pthread1 create\n");

     

     /*

     pthread_t tid2;//定义子线程标识符

     pthread_create(&tid2,NULL,pthread_1,NULL);//pthread_1即线程执行函数

     printf("child pthread2 create\n");

     

      pthread_t tid3;//定义子线程标识符

     pthread_create(&tid3,NULL,pthread_1,NULL);//pthread_1即线程执行函数

     printf("child pthread3 create\n");

     */

     

      pthread_join(tid1,NULL);

      printf("child pthread1 exit\n");

      

      /*

      pthread_join(tid2,NULL);

      printf("child pthread2 exit\n");

      

      pthread_join(tid3,NULL);

      printf("child pthread3 exit\n");

      */

  }

  

   printf("\n all finish \n");

   return 0;

  }