opencv多相机调用大恒水星

#include <stdio.h> #include <tchar.h> #include <cstdlib> #include <iostream> #include <sys/timeb.h> #include <windows.h> #include <ctime> #include <climits> #include <opencv2/opencv.hpp> //头文件 #include "../../inc/GxIAPI.h" #include "../../inc/DxImageProc.h" #pragma comment(lib, "../../lib/x86/DxImageProc.lib") #pragma comment(lib, "../../lib/x86/GxIAPI.lib") #include <Mmsystem.h> #pragma comment(lib, "winmm.lib") using namespace cv; //包含cv命名空间 using namespace std; int i; int flag=0; GX_STATUS emStatus = GX_STATUS_SUCCESS; GX_OPEN_PARAM openParam; uint32_t nDeviceNum = 0; //定时器 //VOID CALLBACK TimerProc(HWND hwnd,UINT uMsg,UINT idEvent,DWORD dwTime); //VOID CALLBACK TimerProc(HWND hwnd,UINT uMsg,UINT idEvent,DWORD dwTime) //{ // std::cout << "hello " << std::endl; //} void CALLBACK TimeProc( UINT uID, UINT uMsg, DWORD dwUser, DWORD dw1, DWORD dw2 ) { //cout<<"帧率："<<i<<"帧率："<<i<<"帧率："<<i<<"帧率："<<i<<"帧率："<<i<<"帧率："<<i<<"帧率："<<i<<"帧率："<<i<<endl; cout<<"帧率："<<i<<endl; i=0; } //IplImage *g_pBinaryImage = NULL; //IplImage *pSrcImage =NULL; const char *pstrWindowsBinaryTitle = "二值图"; const char *pstrWindowsSrcTitle = "原图"; IplImage* src=NULL; //IplImage* pContourImg = NULL; CvMemStorage * storage = cvCreateMemStorage(0); CvSeq *contour = 0, *contmax = 0; int mode = CV_RETR_LIST; //// 从文件中加载原图 //IplImage *pSrcImage = cvLoadImage("3.bmp", CV_LOAD_IMAGE_UNCHANGED); IplImage * pSrcImage1 = cvCreateImage(cvSize(2592, 1944), 8, 1); IplImage * pSrcImage2 = cvCreateImage(cvSize(2592, 1944), 8, 1); IplImage * pSrcImage3 = cvCreateImage(cvSize(2592, 1944), 8, 1); IplImage * pSrcImage4 = cvCreateImage(cvSize(2592, 1944), 8, 1); // 为轮廓显示图像申请空间, 3通道图像，以便用彩色显示 IplImage* pContourImg1 = cvCreateImage(cvGetSize(pSrcImage1), IPL_DEPTH_8U, 3); IplImage* pContourImg2 = cvCreateImage(cvGetSize(pSrcImage2), IPL_DEPTH_8U, 3); IplImage* pContourImg3 = cvCreateImage(cvGetSize(pSrcImage3), IPL_DEPTH_8U, 3); IplImage* pContourImg4 = cvCreateImage(cvGetSize(pSrcImage4), IPL_DEPTH_8U, 3); // copy source image and convert it to BGR image // 创建二值图 IplImage * g_pBinaryImage1 = cvCreateImage(cvGetSize(pSrcImage1), IPL_DEPTH_8U, 1); IplImage * g_pBinaryImage2 = cvCreateImage(cvGetSize(pSrcImage2), IPL_DEPTH_8U, 1); IplImage * g_pBinaryImage3 = cvCreateImage(cvGetSize(pSrcImage3), IPL_DEPTH_8U, 1); IplImage * g_pBinaryImage4 = cvCreateImage(cvGetSize(pSrcImage4), IPL_DEPTH_8U, 1); CvPoint2D32f center; float radius; GX_DEV_HANDLE m_hDevice[10]; ///< 设备句柄 BYTE *m_pBufferRaw[10]; ///< 原始图像数据 BYTE *m_pImageBuffer[10]; ///黑白转换后的图 BYTE *m_pBufferRGB[10]; ///< RGB图像数据，用于显示和保存bmp图像 int64_t m_nImageHeight[10]; ///< 原始图像高 int64_t m_nImageWidth[10]; ///< 原始图像宽 int64_t m_nPayLoadSize[10]; int64_t m_nPixelColorFilter[10]; ///< Bayer格式 Mat test; //图像回调处理函数 static void GX_STDC OnFrameCallbackFun1(GX_FRAME_CALLBACK_PARAM* pFrame) { //PrepareForShowImg(); if (pFrame->status == 0) { //struct timeb startTime , endTime; //ftime(&startTime); //对图像进行某些操作 // memcpy(m_pBufferRaw, pFrame->pImgBuf, pFrame->nImgSize); // pSrcImage->imageData = (char*)m_pBufferRaw; pSrcImage1->imageData = (char*)(pFrame->pImgBuf); cvCvtColor(pSrcImage1, pContourImg1, CV_GRAY2BGR); // 转为二值图 cvThreshold(pSrcImage1, g_pBinaryImage1, 155, 255, CV_THRESH_BINARY); // // 查找contour // int nContours = cvFindContours( g_pBinaryImage1, storage, &contour, sizeof(CvContour), // mode, CV_CHAIN_APPROX_SIMPLE, cvPoint(0,0)); // // 将轮廓画出 // cvDrawContours(pContourImg1, contour, CV_RGB(255,0,0), CV_RGB(255, 0, 0), // -1, 2, 8, cvPoint(0,0)); // // cvMinEnclosingCircle(contour,&center,&radius); //// cout << "中心坐标：" << center.x<<" "<<center.y<< endl; // CvPoint2D32f center; // float radius; // cvMinEnclosingCircle(contour,&center,&radius); // cvCircle(pContourImg1,cvPointFrom32f(center),cvRound(radius),CV_RGB(100,100,100)); Mat dst1; resize(Mat(pContourImg1),dst1,Size(600,600)); imshow("dst1",dst1); if(waitKey(20)==27) flag=1; } return; } static void GX_STDC OnFrameCallbackFun2(GX_FRAME_CALLBACK_PARAM* pFrame) { //PrepareForShowImg(); if (pFrame->status == 0) { //struct timeb startTime , endTime; //ftime(&startTime); //对图像进行某些操作 // memcpy(m_pBufferRaw, pFrame->pImgBuf, pFrame->nImgSize); // pSrcImage->imageData = (char*)m_pBufferRaw; pSrcImage2->imageData = (char*)(pFrame->pImgBuf); cvCvtColor(pSrcImage2, pContourImg2, CV_GRAY2BGR); // 转为二值图 cvThreshold(pSrcImage2, g_pBinaryImage2, 155, 255, CV_THRESH_BINARY); Mat dst2; resize(Mat(pContourImg2),dst2,Size(600,600)); imshow("dst2",dst2); if(waitKey(20)==27) flag==1; } return; } static void GX_STDC OnFrameCallbackFun3(GX_FRAME_CALLBACK_PARAM* pFrame) { //PrepareForShowImg(); if (pFrame->status == 0) { //struct timeb startTime , endTime; //ftime(&startTime); //对图像进行某些操作 // memcpy(m_pBufferRaw, pFrame->pImgBuf, pFrame->nImgSize); // pSrcImage->imageData = (char*)m_pBufferRaw; pSrcImage3->imageData = (char*)(pFrame->pImgBuf); cvCvtColor(pSrcImage3, pContourImg3, CV_GRAY2BGR); // 转为二值图 cvThreshold(pSrcImage3, g_pBinaryImage3, 155, 255, CV_THRESH_BINARY); Mat dst3; resize(Mat(pContourImg3),dst3,Size(600,600)); imshow("dst3",dst3); if(waitKey(20)==27) flag=1; } return; } static void GX_STDC OnFrameCallbackFun4(GX_FRAME_CALLBACK_PARAM* pFrame) { //PrepareForShowImg(); if (pFrame->status == 0) { //struct timeb startTime , endTime; //ftime(&startTime); //对图像进行某些操作 // memcpy(m_pBufferRaw, pFrame->pImgBuf, pFrame->nImgSize); // pSrcImage->imageData = (char*)m_pBufferRaw; pSrcImage4->imageData = (char*)(pFrame->pImgBuf); cvCvtColor(pSrcImage4, pContourImg4, CV_GRAY2BGR); // 转为二值图 cvThreshold(pSrcImage4, g_pBinaryImage4, 155, 255, CV_THRESH_BINARY); Mat dst4; resize(Mat(pContourImg4),dst4,Size(600,600)); imshow("dst4",dst4); if(waitKey(20)==27) flag=1; } return; } int open_camera(int i) { openParam.accessMode = GX_ACCESS_EXCLUSIVE; openParam.openMode = GX_OPEN_INDEX; char name[10]; sprintf(name,"%d",i); openParam.pszContent = name;//相机的序列号 // 初始化库 emStatus = GXInitLib(); if (emStatus != GX_STATUS_SUCCESS) { return 0; } // 枚举设备列表 emStatus = GXUpdateDeviceList(&nDeviceNum, 1000); if ((emStatus != GX_STATUS_SUCCESS) || (nDeviceNum <= 0)) { return 0; } //打开设备 emStatus = GXOpenDevice(&openParam, &m_hDevice[i]); //设置采集模式连续采集 emStatus = GXSetEnum(m_hDevice[i], GX_ENUM_ACQUISITION_MODE, GX_ACQ_MODE_CONTINUOUS); emStatus = GXSetInt(m_hDevice[i], GX_INT_ACQUISITION_SPEED_LEVEL, 1); emStatus = GXSetEnum(m_hDevice[i], GX_ENUM_BALANCE_WHITE_AUTO, GX_BALANCE_WHITE_AUTO_CONTINUOUS); bool bColorFliter = false; // 获取图像大小 emStatus = GXGetInt(m_hDevice[i], GX_INT_PAYLOAD_SIZE, &m_nPayLoadSize[i]); // 获取宽度 emStatus = GXGetInt(m_hDevice[i], GX_INT_WIDTH, &m_nImageWidth[i]); // 获取高度 emStatus = GXGetInt(m_hDevice[i], GX_INT_HEIGHT, &m_nImageHeight[i]); test.create(m_nImageHeight[i], m_nImageWidth[i], CV_8UC3); cout<<"ok"<<endl; //判断相机是否支持bayer格式 bool m_bColorFilter; emStatus = GXIsImplemented(m_hDevice[i], GX_ENUM_PIXEL_COLOR_FILTER, &m_bColorFil