Linux下Python调用海康sdk显示网络摄像头

由于项目需要调取海康的网络摄像头，而使用opencv的话延迟比较高，所以通过编译海康的sdk来实现。

操作系统：Ubuntu server 18.04.2

opencv版本：3.4.6

codeblocks版本：17.12

需要的一些包我会放在Google云盘 https://drive.google.com/drive/folders/1b61Wq2SovUpBoCS_5yh4TolVsPITjNrn?usp=sharing

一 安装opencv

opencv本人安装的比较早，记不得步骤了，后面如果有需要的话会补上。

二 安装codeblocks和swig

这步也记不得了。

三 使用swig生成接口文件

1. 下载opencv-swig接口文件

2. 新建一个文件夹（比如 hksdk），将将接口文件lib文件夹下的文件与下面三个源文件放入

//HKIPcamera.cpp
#include <opencv2/opencv.hpp>
#include <iostream>
#include <time.h>
#include <cstdio>
#include <cstring>
#include <iostream>
#include <list>
#include "HCNetSDK.h"
#include "LinuxPlayM4.h"
#include <unistd.h>
#include <pthread.h>


#define USECOLOR 1
#define WINAPI


using namespace cv;
using namespace std;


//--------------------------------------------
int iPicNum = 0;//Set channel NO.
LONG nPort = -1;
HWND hWnd = NULL;
pthread_mutex_t g_cs_frameList;
list<Mat> g_frameList;
LONG lUserID;
NET_DVR_DEVICEINFO_V30 struDeviceInfo;
LONG lRealPlayHandle = -1;


void yv12toYUV(char *outYuv, char *inYv12, int width, int height, int widthStep)
{
int col, row;
unsigned int Y, U, V;
int tmp;
int idx;


//printf("widthStep=%d.\n",widthStep);


for (row = 0; row<height; row++)
{
idx = row * widthStep;
int rowptr = row*width;


for (col = 0; col<width; col++)
{
//int colhalf=col>>1;
tmp = (row / 2)*(width / 2) + (col / 2);
//         if((row==1)&&( col>=1400 &&col<=1600))
//         {
//          printf("col=%d,row=%d,width=%d,tmp=%d.\n",col,row,width,tmp);
//          printf("row*width+col=%d,width*height+width*height/4+tmp=%d,width*height+tmp=%d.\n",row*width+col,width*height+width*height/4+tmp,width*height+tmp);
//         }
Y = (unsigned int)inYv12[row*width + col];
U = (unsigned int)inYv12[width*height + width*height / 4 + tmp];
V = (unsigned int)inYv12[width*height + tmp];
//         if ((col==200))
//         {
//         printf("col=%d,row=%d,width=%d,tmp=%d.\n",col,row,width,tmp);
//         printf("width*height+width*height/4+tmp=%d.\n",width*height+width*height/4+tmp);
//         return ;
//         }
if ((idx + col * 3 + 2)> (1200 * widthStep))
{
//printf("row * widthStep=%d,idx+col*3+2=%d.\n",1200 * widthStep,idx+col*3+2);
}
outYuv[idx + col * 3] = Y;
outYuv[idx + col * 3 + 1] = U;
outYuv[idx + col * 3 + 2] = V;
}
}
//printf("col=%d,row=%d.\n",col,row);
}




//解码回调 视频为YUV数据(YV12)，音频为PCM数据
void CALLBACK DecCBFun(int nPort, char * pBuf, int nSize, FRAME_INFO * pFrameInfo, void * nReserved1, int nReserved2)
{
long lFrameType = pFrameInfo->nType;


if (lFrameType == T_YV12)
{
#if USECOLOR
//int start = clock();
static IplImage* pImgYCrCb = cvCreateImage(cvSize(pFrameInfo->nWidth, pFrameInfo->nHeight), 8, 3);//???????????????????Y????????????
yv12toYUV(pImgYCrCb->imageData, pBuf, pFrameInfo->nWidth, pFrameInfo->nHeight, pImgYCrCb->widthStep);//????????????????RGB????????
static IplImage* pImg = cvCreateImage(cvSize(pFrameInfo->nWidth, pFrameInfo->nHeight), 8, 3);
cvCvtColor(pImgYCrCb, pImg, CV_YCrCb2RGB);
//int end = clock();
#else
static IplImage* pImg = cvCreateImage(cvSize(pFrameInfo->nWidth, pFrameInfo->nHeight), 8, 1);
memcpy(pImg->imageData, pBuf, pFrameInfo->nWidth*pFrameInfo->nHeight);
#endif
//printf("%d\n",end-start);


//Mat frametemp(pImg), frame;


//frametemp.copyTo(frame);
//      cvShowImage("IPCamera",pImg);
//      cvWaitKey(1);
pthread_mutex_lock(&g_cs_frameList);
Mat mat=cvarrToMat(pImg);
g_frameList.push_back(mat);
pthread_mutex_unlock(&g_cs_frameList);


#if USECOLOR
//      cvReleaseImage(&pImgYCrCb);
//      cvReleaseImage(&pImg);
#else
/*cvReleaseImage(&pImg);*/
#endif
//此时是YV12格式的视频数据，保存在pBuf中，可以fwrite(pBuf,nSize,1,Videofile);
//fwrite(pBuf,nSize,1,fp);
}
/***************
else if (lFrameType ==T_AUDIO16)
{
//此时是音频数据，数据保存在pBuf中，可以fwrite(pBuf,nSize,1,Audiofile);

}
else
{

}
*******************/

}


///实时流回调
void CALLBACK fRealDataCallBack(LONG lRealHandle, DWORD dwDataType, BYTE *pBuffer, DWORD dwBufSize, void *pUser)
{
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_OpenStream(nPort, pBuffer, dwBufSize, 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,DecCBFun,NULL,NULL))
//{
//  dRet=PlayM4_GetLastError(nPort);
//  break;
//}


//打开视频解码
if (!PlayM4_Play(nPort, hWnd))
{
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;


case NET_DVR_STREAMDATA:   //码流数据
if (dwBufSize > 0 && nPort != -1)
{
BOOL inData = PlayM4_InputData(nPort, pBuffer, dwBufSize);
while (!inData)
{
sleep(10);
inData = PlayM4_InputData(nPort, pBuffer, dwBufSize);
cout << (L"PlayM4_InputData failed \n") << endl;
}
}
break;
}
}


void CALLBACK g_ExceptionCallBack(DWORD dwType, LONG lUserID, LONG lHandle, void *pUser)
{
char tempbuf[256] = { 0 };
switch (dwType)
{
case EXCEPTION_RECONNECT:    //预览时重连
printf("----------reconnect--------%d\n", time(NULL));
break;
default:
break;
}
}


bool OpenCamera(char* ip, char* usr, char* password)
{
lUserID = NET_DVR_Login_V30(ip, 8000, usr, password, &struDeviceInfo);
if (lUserID == 0)
{
cout << "Log in success!" << endl;
return TRUE;
}
else
{
printf("Login error, %d\n", NET_DVR_GetLastError());
NET_DVR_Cleanup();
return FALSE;
}
}
void * ReadCamera(void* IpParameter)
{
//---------------------------------------
//设置异常消息回调函数
NET_DVR_SetExceptionCallBack_V30(0, NULL, g_ExceptionCallBack, NULL);


//cvNamedWindow("Mywindow", 0);
//cvNamedWindow("IPCamera", 0);


//HWND  h = (HWND)cvGetWindowHandle("Mywindow");
//h = cvNamedWindow("IPCamera");
//---------------------------------------
//启动预览并设置回调数据流 
NET_DVR_CLIENTINFO ClientInfo;
ClientInfo.lChannel = 1;        //Channel number 设备通道号
ClientInfo.hPlayWnd = NULL;     //窗口为空，设备SDK不解码只取流
ClientInfo.lLinkMode = 1;       //Main Stream
ClientInfo.sMultiCastIP = NULL;


LONG lRealPlayHandle;
lRealPlayHandle = NET_DVR_RealPlay_V30(lUserID, &ClientInfo, fRealDataCallBack, NULL, TRUE);
if (lRealPlayHandle<0)
{
printf("NET_DVR_RealPlay_V30 failed! Error number: %d\n", NET_DVR_GetLastError());
//return -1;
}
else
cout << "Code stream callback success！" << endl;
sleep(-1);
//fclose(fp);
//---------------------------------------
//关闭预览
if (!NET_DVR_StopRealPlay(lRealPlayHandle))
{
printf("NET_DVR_StopRealPlay error! Error number: %d\n", NET_DVR_GetLastError());
return 0;
}
//注销用户
NET_DVR_Logout(lUserID);
NET_DVR_Cleanup();
//return 0;
}


void init(char* ip, char* usr, char* password){
pthread_t hThread;
cout << "IP:" << ip << "    UserName:" << usr << "    PassWord:" << password << endl;
NET_DVR_Init();
NET_DVR_SetConnectTime(2000, 1);
NET_DVR_SetReconnect(10000, true);
OpenCamera(ip, usr, password);
pthread_mutex_init(&g_cs_frameList, NULL);
//hThread = ::CreateThread(NULL, 0, ReadCamera, NULL, 0, 0);
pthread_create(&hThread, NULL, ReadCamera, NULL);
}


Mat getframe(){
Mat frame1;
pthread_mutex_lock(&g_cs_frameList);
while (!g_frameList.size()){
pthread_mutex_unlock(&g_cs_frameList);
pthread_mutex_lock(&g_cs_frameList);
}
list<Mat>::iterator it;
it = g_frameList.end();
it--;
Mat dbgframe = (*(it));
(*g_frameList.begin()).copyTo(frame1);
frame1 = dbgframe;
g_frameList.pop_front();
//imshow("camera", frame1);
//waitKey(1);


g_frameList.clear();
pthread_mutex_unlock(&g_cs_frameList);
return(frame1);
}


void release(){
//close(hThread);
NET_DVR_StopRealPlay(lRealPlayHandle);
//注销用户
NET_DVR_Logout(lUserID);
NET_DVR_Cleanup();
}

//HKIPcamera.h
#include <opencv2/opencv.hpp>
using namespace cv;

void init(char* ip, char* usr, char* password);
Mat getframe();
void release();

// HKIPcamera.i
/*  Example of wrapping a C function that takes a C double array as input using
 *  numpy typemaps for SWIG. */
%module HKIPcamera
%include <opencv/mat.i>
%cv_mat__instantiate_defaults
%header %{
    /*  Includes the header in the wrapper code */
    #include "HKIPcamera.h"
%}

%include "HKIPcamera.h"

此时在hksdk文件夹下应该有如下几个文件：

3 生成HKIPcamera_wrap.cxx文件

cd到hksdk文件下，修改opencv的路径

swig -I/home/xxx/opencv-3.4.6/modules/core/include/ -python -c++ HKIPcamera.i 

四 编译动态链接库

1. codeblocks建立动态链接库工程，新建Projects，选择Shared library，选择C++，项目标题自己随意（我的是hksdk），下面的默认就行了。
2. 右键新建的工程，Add file，将HKIPcameracpp,HKIPcamera.h,HKIPcamera_wrap.cxx加入到工程。
3. 在工程下右键，Build options——linker settings——linker libraries，添加opencv的所有so文件（opencv-3.4.6/Release/lib、opencv-3.4.6/Release/lib/python3
   添加海康sdk中的所有so文件CH_HCNetSDK_V5.2.7.4_build20170606_Linux64/lib/、CH_HCNetSDK_V5.2.7.4_build20170606_Linux64/lib/HCNetSDKCom/
4. 在工程下右键，build options——search directories——complier 中添加/usr/include/python3.6、/usr/include/boost、/usr/local/include/ 、/usr/local/include/opencv、/usr/local/include/opencv2以及海康sdk头文件路径CH_HCNetSDK_V5.2.7.4_build20170606_Linux64/incCn

   

5. project——build options——search directories——linker中添加 /usr/lical/lib
6. project—— build option —— Compiler settings —— Other compiler options 添加 -fPIC
7. 主界面——Settings——compiler——linker settings——linker libraries添加 /usr/lib/x86_64-linux-gnu/libpthread.a  右边other linker options 添加  -lpthread

   

8. 将HKIPcamera动态链接库地址添加进系统路径
   在/etc/ld.so.conf文件结尾添加网络sdk库的路径

   sudo vim /etc/ld.so.conf
   # 末尾添加
   /home/HKSDK/hksdk/CH_HCNetSDK_V5.2.7.4_build20170606_Linux64/lib/HCNetSDKCom
   /home/HKSDK/hksdk/CH_HCNetSDK_V5.2.7.4_build20170606_Linux64/lib
   # 保存退出
   sudo ldconfig
   

    

9. 右键工程build，在codeblocks/hksdk/bin/Debug/里就会生成 liblibhksdk.so文件

五 测试

将liblibhksdk.so改名为_HKIPcamera.so，与之前生成的HKIPcamera.py文件一同放到test文件夹，新建test.py文件，输入：

import HKIPcamera
import time
import numpy as np
import matplotlib.pyplot as plt
import cv2

#ip地址、用户名和密码请自己修改
ip = str('0.0.0.0')
name = str('admin')     
pw = str('admin')        #password
HKIPcamera.init(ip, name, pw)

while True:
    fram = HKIPcamera.getframe()
    crop_size = (960, 540)
    fram = cv2.resize(np.array(fram), crop_size, interpolation=cv2.INTER_CUBIC)
    cv2.imshow('show_img', fram)

    if cv2.waitKey(1) & 0xFF == ord('q'):
        break

HKIPcamera.release()
time.sleep(0.1)

Reference:

1. https://blog.csdn.net/ustczhang/article/details/79030715
2. https://www.cnblogs.com/deeplearning1314/p/10617840.html