经过很多天的配置,终于能在工程中调用海康威视的网络摄像头了,为了后人能快速上手,我整理内容如下:
一、根据电脑的型号下载海康威视的SDK包
网址:http://www.hikvision.com/cn/download_61.html。
我的笔记本时linux64位的,所以下载的 ————设备网络SDK_Linux64
二、 用下面的方法之一配置SDK
如果HCNetSDKCom目录以及libhcnetsdk.so、libhpr.so、libHCCore文件和可执行文件在同一级目录下,则使用同级目录下的库文件;
如果不在同一级目录下,则需要将以上文件的目录加载到动态库搜索路径中,设置的方式有以下几种:
1. 将网络SDK各动态库路径加入到LD_LIBRARY_PATH环境变量
1.在终端输入:export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/XXX:/XXX/HCNetSDKCom 只在当前终端起作用
2. 修改~/.bashrc或~/.bash_profile,最后一行添加 export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/XXX:/XXX/HCNetSDKCom,保存之后,使用source .bashrc执行该文件 ,当前用户生效
3. 修改/etc/profile,添加内容如第2条,同样保存之后使用source执行该文件 所有用户生效
2.在/etc/ld.so.conf文件结尾添加网络sdk库的路径,如/XXX和/XXX/HCNetSDKCom/,保存之后,然后执行ldconfig。
三. 在Ubuntu16.04 的qt中新建一个工程
1. 在工程的 ×.pro文件中添加以下内容:
INCLUDEPATH += /usr/local/include \ /usr/local/include/opencv \ /usr/local/include/opencv2 LIBS += /usr/local/lib/libopencv_calib3d.so\ /usr/local/lib/libopencv_ml.so.2.4.9\ /usr/local/lib/libopencv_calib3d.so.2.4 \ /usr/local/lib/libopencv_nonfree.so\ /usr/local/lib/libopencv_calib3d.so.2.4.9 \ /usr/local/lib/libopencv_nonfree.so.2.4\ /usr/local/lib/libopencv_contrib.so \ /usr/local/lib/libopencv_nonfree.so.2.4.9\ /usr/local/lib/libopencv_contrib.so.2.4 \ /usr/local/lib/libopencv_objdetect.so\ /usr/local/lib/libopencv_contrib.so.2.4.9 \ /usr/local/lib/libopencv_objdetect.so.2.4\ /usr/local/lib/libopencv_core.so\ /usr/local/lib/libopencv_objdetect.so.2.4.9\ /usr/local/lib/libopencv_core.so.2.4 \ /usr/local/lib/libopencv_ocl.so\ /usr/local/lib/libopencv_core.so.2.4.9 \ /usr/local/lib/libopencv_ocl.so.2.4\ /usr/local/lib/libopencv_features2d.so \ /usr/local/lib/libopencv_ocl.so.2.4.9\ /usr/local/lib/libopencv_features2d.so.2.4 \ /usr/local/lib/libopencv_photo.so\ /usr/local/lib/libopencv_features2d.so.2.4.9 \ /usr/local/lib/libopencv_photo.so.2.4\ /usr/local/lib/libopencv_flann.so \ /usr/local/lib/libopencv_photo.so.2.4.9\ /usr/local/lib/libopencv_flann.so.2.4 \ /usr/local/lib/libopencv_stitching.so\ /usr/local/lib/libopencv_flann.so.2.4.9 \ /usr/local/lib/libopencv_stitching.so.2.4\ /usr/local/lib/libopencv_gpu.so \ /usr/local/lib/libopencv_stitching.so.2.4.9\ /usr/local/lib/libopencv_gpu.so.2.4 \ /usr/local/lib/libopencv_superres.so\ /usr/local/lib/libopencv_gpu.so.2.4.9 \ /usr/local/lib/libopencv_superres.so.2.4\ /usr/local/lib/libopencv_highgui.so \ /usr/local/lib/libopencv_superres.so.2.4.9\ /usr/local/lib/libopencv_highgui.so.2.4 \ /usr/local/lib/libopencv_highgui.so.2.4.9 \ /usr/local/lib/libopencv_video.so\ /usr/local/lib/libopencv_imgproc.so \ /usr/local/lib/libopencv_video.so.2.4\ /usr/local/lib/libopencv_imgproc.so.2.4 \ /usr/local/lib/libopencv_video.so.2.4.9\ /usr/local/lib/libopencv_imgproc.so.2.4.9\ /usr/local/lib/libopencv_videostab.so\ /usr/local/lib/libopencv_legacy.so \ /usr/local/lib/libopencv_videostab.so.2.4\ /usr/local/lib/libopencv_legacy.so.2.4 \ /usr/local/lib/libopencv_videostab.so.2.4.9\ /usr/local/lib/libopencv_legacy.so.2.4.9 \ /usr/local/lib/libopencv_ml.so INCLUDEPATH += /home/ding/opencv_projects/CH_HCNetSDK_V5.2.7.4_build20170606_Linux64/incCn LIBS += /home/ding/opencv_projects/CH_HCNetSDK_V5.2.7.4_build20170606_Linux64/lib/libhcnetsdk.so\ /home/ding/opencv_projects/CH_HCNetSDK_V5.2.7.4_build20170606_Linux64/lib/libHCCore.so\ /home/ding/opencv_projects/CH_HCNetSDK_V5.2.7.4_build20170606_Linux64/lib/libhpr.so\ /home/ding/opencv_projects/CH_HCNetSDK_V5.2.7.4_build20170606_Linux64/lib/libPlayCtrl.so\ /home/ding/opencv_projects/CH_HCNetSDK_V5.2.7.4_build20170606_Linux64/lib/libSuperRender.so\ /home/ding/opencv_projects/CH_HCNetSDK_V5.2.7.4_build20170606_Linux64/lib/libAudioRender.so2. 在main.cpp函数中添加以下内容:
#include "opencv2/opencv.hpp" #include <QDir> #include <fstream> #include <unistd.h> //#include "auto_entercs.h" #include "HCNetSDK.h" #include "PlayM4.h" #include "LinuxPlayM4.h" #define HPR_ERROR -1 #define HPR_OK 0 #define USECOLOR 0 static cv::Mat dst; HWND h = NULL; LONG nPort=-1; LONG lUserID; pthread_mutex_t mutex; std::list<cv::Mat> g_frameList; FILE *g_pFile = NULL; void CALLBACK PsDataCallBack(LONG lRealHandle,DWORD dwDataType,BYTE *pPacketBuffer,DWORD nPacketSize,void* pUser) { if (dwDataType == NET_DVR_SYSHEAD) { //写入头数据 g_pFile = fopen("/home/lds/source/ps.dat","wb"); if (g_pFile == NULL) { printf("CreateFileHead fail\n"); return; } //写入头数据 fwrite(pPacketBuffer,sizeof(unsigned char),nPacketSize,g_pFile); printf("write head len=%d\n",nPacketSize); } else { if(g_pFile != NULL) { fwrite(pPacketBuffer,g_pFile); printf("write data len=%d\n",nPacketSize); } } } //void CALLBACK DecCBFun(LONG nPort,char *pBuf,LONG nSize,FRAME_INFO *pFrameInfo,LONG nReserved1,LONG nReserved2) void CALLBACK DecCBFun(LONG nPort,void* nReserved1,LONG nReserved2) { long lFrameType = pFrameInfo->nType; if (lFrameType == T_YV12) { //cv::Mat dst(pFrameInfo->nHeight,pFrameInfo->nWidth,// CV_8UC3); // 8UC3表示8bit uchar无符号类型,3通道值 dst.create(pFrameInfo->nHeight,CV_8UC3); cv::Mat src(pFrameInfo->nHeight + pFrameInfo->nHeight / 2,CV_8UC1,(uchar *)pBuf); cv::cvtColor(src,dst,CV_YUV2BGR_YV12); pthread_mutex_lock(&mutex); g_frameList.push_back(dst); pthread_mutex_unlock(&mutex); } usleep(1000); //cv::Mat src(pFrameInfo->nHeight + pFrameInfo->nHeight / 2,(uchar *)pBuf); //cv::cvtColor(src,CV_YUV2BGR_YV12); //cv::imshow("bgr",dst); //pthread_mutex_lock(&mutex); //g_frameList.push_back(dst); //pthread_mutex_unlock(&mutex); //vw << dst; //cv::waitKey(10); } void CALLBACK g_RealDataCallBack_V30(LONG lRealHandle,BYTE *pBuffer,DWORD dwBufSize,void* dwUser) { /* if (dwDataType == 1) { PlayM4_GetPort(&nPort); PlayM4_SetStreamOpenMode(nPort,STREAME_REALTIME); PlayM4_OpenStream(nPort,pBuffer,dwBufSize,1024 * 1024); PlayM4_SetDecCallBackEx(nPort,DecCBFun,NULL,NULL); PlayM4_Play(nPort,h); } else { BOOL inData = PlayM4_InputData(nPort,dwBufSize); }*/ DWORD dRet; switch (dwDataType) { case NET_DVR_SYSHEAD: //系统头 if (!PlayM4_GetPort(&nPort)) //获取播放库未使用的通道号 { break; } if (dwBufSize > 0) { if (!PlayM4_SetStreamOpenMode(nPort,STREAME_REALTIME)) { dRet = PlayM4_GetLastError(nPort); break; } if (!PlayM4_OpenStream(nPort,1024 * 1024)) { dRet = PlayM4_GetLastError(nPort); break; } //设置解码回调函数 只解码不显示 // if (!PlayM4_SetDecCallBack(nPort,DecCBFun)) { // dRet = PlayM4_GetLastError(nPort); // break; // } //设置解码回调函数 解码且显示 if (!PlayM4_SetDecCallBackEx(nPort,NULL)) { dRet = PlayM4_GetLastError(nPort); break; } //打开视频解码 if (!PlayM4_Play(nPort,h)) { dRet = PlayM4_GetLastError(nPort); break; } //打开音频解码,需要码流是复合流 if (!PlayM4_PlaySound(nPort)) { dRet = PlayM4_GetLastError(nPort); break; } } break; //usleep(500); case NET_DVR_STREAMDATA: //码流数据 if (dwBufSize > 0 && nPort != -1) { BOOL inData = PlayM4_InputData(nPort,dwBufSize); while (!inData) { sleep(100); inData = PlayM4_InputData(nPort,dwBufSize); std::cerr << "PlayM4_InputData Failed \n" << std::endl; } } break; } } void CALLBACK g_ExceptionCallBack(DWORD dwType,LONG lUserID,LONG lHandle,void *pUser) { char tempbuf[256] = {0}; std::cout << "EXCEPTION_RECONNECT = " << EXCEPTION_RECONNECT << std::endl; switch(dwType) { case EXCEPTION_RECONNECT: //预览时重连 printf("pyd----------reconnect--------%d\n",time(NULL)); break; default: break; } } void *RunIPCameraInfo(void *) { char IP[] = "192.168.**.***"; //海康威视网络摄像头的ip char UName[] = "****"; //海康威视网络摄像头的用户名 char PSW[] = "*****"; //海康威视网络摄像头的密码 NET_DVR_Init(); NET_DVR_SetConnectTime(2000,1); NET_DVR_SetReconnect(1000,true); NET_DVR_SetLogToFile(3,"./sdkLog"); NET_DVR_DEVICEINFO_V30 struDeviceInfo = {0}; NET_DVR_SetRecvTimeOut(5000); lUserID = NET_DVR_Login_V30(IP,8000,UName,PSW,&struDeviceInfo); NET_DVR_SetExceptionCallBack_V30(0,g_ExceptionCallBack,NULL); long lRealPlayHandle; NET_DVR_CLIENTINFO ClientInfo = {0}; ClientInfo.lChannel = 1; ClientInfo.lLinkMode = 0; ClientInfo.hPlayWnd = 0; ClientInfo.sMultiCastIP = NULL; //lRealPlayHandle = NET_DVR_RealPlay_V30(lUserID,&ClientInfo,PsDataCallBack,0); lRealPlayHandle = NET_DVR_RealPlay_V30(lUserID,g_RealDataCallBack_V30,0); //NET_DVR_SaveRealData(lRealPlayHandle,"/home/lds/source/yuntai.mp4"); if (lRealPlayHandle < 0) { printf("pyd1---NET_DVR_RealPlay_V30 error\n"); } sleep(-1); NET_DVR_Cleanup(); } int main(int argc,char *argv[]) { pthread_t getframe; pthread_mutex_init(&mutex,NULL); int ret; ret = pthread_create(&getframe,RunIPCameraInfo,NULL); if(ret!=0) { printf("Create pthread error!\n"); } cv::Mat image; while(1) { pthread_mutex_lock(&mutex); if(g_frameList.size()) { std::list<cv::Mat>::iterator it; it = g_frameList.end(); it--; image = (*(it)); if (!image.empty()) { imshow("frame from camera",image); cv::waitKey(1); } g_frameList.pop_front(); } g_frameList.clear(); // 丢掉旧的帧 pthread_mutex_unlock(&mutex); } return 0; }原文链接:https://www.f2er.com/ubuntu/352125.html