参考资源：
1.《Windows下Python调用海康SDK实时显示网络摄像头》
2.《HikVision SDK: C++ 至 Python》
3.《linux下Python调用海康SDK实时显示网络摄像头》
4.《python调用海康sdk操作热成像设备获取对应点温度》
5.《Windows下Python调用海康SDK实时视频流获取》
6.《LINUX下PYTHON调用海康SDK实时视频流获取》

1.1 安装OpenCV – 4.5.4

1.1.1 使用Visual Studio

OpenCV 之 编译配置 4.5.4

1.1.1.1 OpenCV下载地址

【从零学习OpenCV 4】Windows系统中安装OpenCV 4

1.1.1.2 解压缩OpenCV

1.1.1.3 安装VS2022

1.1.1.4 VS2022配置

《OpenCV编译VS2022配置》
《Windows中vs2019安装opencv4.5.4》

1.1.1.4.1 官方C++测试代码 01

// Test application for the Visual Studio Image Watch Debugger extension
#include <iostream>                        // std::cout
#include <opencv2/core/core.hpp>           // cv::Mat
#include <opencv2/imgcodecs/imgcodecs.hpp>     // cv::imread()
#include <opencv2/imgproc/imgproc.hpp>     // cv::Canny()
using namespace std;
using namespace cv;
void help()
{
    cout
        << "----------------------------------------------------" << endl
        << "This is a test program for the Image Watch Debugger " << endl
        << "plug-in for Visual Studio. The program loads an     " << endl
        << "image from a file and runs the Canny edge detector. " << endl
        << "No output is displayed or written to disk."
        << endl
        << "Usage:" << endl
        << "image-watch-demo inputimage" << endl
        << "----------------------------------------------------" << endl
        << endl;
}
int main(int argc, char* argv[])
{
    help();
    if (argc != 2)
    {
        cout << "Wrong number of parameters" << endl;
        return -1;
    }
    cout << "Loading input image: " << argv[1] << endl;
    Mat input;
    input = imread(argv[1], IMREAD_COLOR);
    cout << "Detecting edges in input image" << endl;
    Mat edges;
    Canny(input, edges, 10, 100);
    return 0;
}

1.1.1.4.2 官方C++测试代码 02

// Test application for the Visual Studio Image Watch Debugger extension
#include <iostream>                        // std::cout
#include <opencv2/core/core.hpp>           // cv::Mat
#include <opencv2/imgcodecs/imgcodecs.hpp>     // cv::imread()
#include <opencv2/imgproc/imgproc.hpp>     // cv::Canny()
using namespace std;
using namespace cv;
void help()
{
    cout
        << "----------------------------------------------------" << endl
        << "This is a test program for the Image Watch Debugger " << endl
        << "plug-in for Visual Studio. The program loads an     " << endl
        << "image from a file and runs the Canny edge detector. " << endl
        << "No output is displayed or written to disk."
        << endl
        << "Usage:" << endl
        << "image-watch-demo inputimage" << endl
        << "----------------------------------------------------" << endl
        << endl;
}
int main(int argc, char* argv[])
{
    help();
    if (argc != 2)
    {
        cout << "Wrong number of parameters" << endl;
        return -1;
    }
    cout << "Loading input image: " << argv[1] << endl;
    Mat input;
    input = imread(argv[1], IMREAD_COLOR);
    cout << "Detecting edges in input image" << endl;
    Mat edges;
    Canny(input, edges, 10, 100);
    return 0;
}

1.1.2 使用Pycharm

1.1.2.1 下载安装pip

《windows 安装pip 及更换pip国内源》

1.1.2.1.1 pip官网下载地址

1.1.2.1.2 win10安装pip

1.1.2.1.3 永久更换pip镜像源

1.1.2.1.3.1 %APPDATA%

在windows文件管理器中,输入 %APPDATA%

1.1.2.1.3.2 新建pip文件夹、pip.ini文件

自动新定位到一个新的目录下，在该目录下新建pip文件夹，然后到pip文件夹里面去新建个pip.ini文件

1.1.2.1.3.3 编辑pip.ini文件

[global]
timeout =6000
index-url = https://pypi.douban.com/simple
trusted-host = pypi.douban.com

#[global]
#timeout =6000
#index-url = https://pypi.tuna.tsinghua.edu.cn/simple/
#trusted-host = pypi.tuna.tsinghua.edu.cn

#[global]
#timeout =6000
#index-url = https://mirrors.aliyun.com/pypi/simple/
#trusted-host = mirrors.aliyun.com

1.1.2.2 安装opencv-python

在Windows下安装配置OpenCV-Python-PyCharm开发环境

1.1.2.2.1 安装numpy

#安装方式：pip install numpy==版本号
pip install numpy==1.22.3

1.1.2.2.2 安装opencv-python

pip install pip install opencv-python==4.5.5.64

1.2 下载海康SDK包

海康官网

1.3 下载安装 Swig

官网

1.4 下载 OpenCV-swig 接口文件

Github下载地址

1.5 下载boost库

下载地址

1.6 环境变量配置

2.1 将Opencv-swig文件夹的文件与HK源文件合并

HK源文件如下：

2.1.1 HKIPcamera.cpp

//HKIPcamera.cpp
#include <opencv\cv.h>
#include <opencv\highgui.h>
#include <opencv2\opencv.hpp>
#include <iostream>
#include <time.h>
#include <cstdio>
#include <cstring>
#include <iostream>
#include <windows.h>
#include "HCNetSDK.h"
//#include "PlayM4.h"
#include "plaympeg4.h"
 
 
 
//#include "global.h"
//#include "readCamera.h"
 
#define USECOLOR 1
 
using namespace cv;
using namespace std;
 
//--------------------------------------------
int iPicNum = 0;//Set channel NO.
LONG nPort = -1;
HWND hWnd = NULL;
CRITICAL_SECTION g_cs_frameList;
list<Mat> g_frameList;
LONG lUserID;
NET_DVR_DEVICEINFO_V30 struDeviceInfo;
HANDLE hThread;
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(long nPort, char * pBuf, long nSize, FRAME_INFO * pFrameInfo, long nReserved1, long 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);//得到图像的Y分量  
        yv12toYUV(pImgYCrCb->imageData, pBuf, pFrameInfo->nWidth, pFrameInfo->nHeight, pImgYCrCb->widthStep);//得到全部RGB图像
        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);
        EnterCriticalSection(&g_cs_frameList);
        g_frameList.push_back(pImg);
        LeaveCriticalSection(&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);
                OutputDebugString(L"PlayM4_InputData failed \n");
            }
        }
        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;
    }
}
DWORD WINAPI ReadCamera(LPVOID 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 << "码流回调成功！" << endl;
    Sleep(-1);
    if (!NET_DVR_StopRealPlay(lRealPlayHandle))
    {
        printf("NET_DVR_StopRealPlay error! Error number: %d\n", NET_DVR_GetLastError());
        return 0;
    }
    NET_DVR_Logout(lUserID);
    NET_DVR_Cleanup();
    return 0;
}
 
 
void init(char* ip, char* usr, char* password){
    //HANDLE hThread;
    //LPDWORD threadID;
    //---------------------------------------
    // 初始化
    NET_DVR_Init();
    //设置连接时间与重连时间
    NET_DVR_SetConnectTime(2000, 1);
    NET_DVR_SetReconnect(10000, true);
    OpenCamera(ip, usr, password);
    InitializeCriticalSection(&g_cs_frameList);
    hThread = ::CreateThread(NULL, 0, ReadCamera, NULL, 0, 0);
}
 
Mat getframe(){
    Mat frame1;
    EnterCriticalSection(&g_cs_frameList);
    while (!g_frameList.size()){
        LeaveCriticalSection(&g_cs_frameList);
        EnterCriticalSection(&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();   // 丢掉旧的帧
    LeaveCriticalSection(&g_cs_frameList);
    return(frame1);
}
 
void release(){
    ::CloseHandle(hThread);
    NET_DVR_StopRealPlay(lRealPlayHandle);
    //关闭预览
    NET_DVR_Logout(lUserID);
    //注销用户
    NET_DVR_Cleanup();
}

2.1.2 HKIPcamera.h

//HKIPcamera.h
#include <opencv2/opencv.hpp>
using namespace cv;
 
void init(char* ip, char* usr, char* password);
Mat getframe();
void release();

2.1.3 HKIPcamera.i

// 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"

2.2 输入命令行生成HKIPcamera_wrap.cxx、HKIPcamera.py文件

《windows下使用swig》
《Windows平台下Python使用swig调用C++》
命令行：

swig -I"D:\Program Files\PyCharm 2021.3.3\pip\opencv-4.5.4\opencv\build\include" -python -c++ HKIPcamera.i

注意opencv安装的头文件路径

3.1 先试验Opencv是否正常运行

3.2 修改plaympeg4.h文件

3.3 创建一个动态链接库工程

3.4 添加编译的文件

3.5 配置所需要的头文件、库文件、依赖项

3.6 调用