1.MFC-opencv配置:
新建一个空白项目,点击项目(菜单项)-属性-VC++目录,按照下图提示,添加目录:
可执行文件目录D:\Program Files\opencv\build\x86\vc10\bin
包含目录D:\Program Files\opencv\build\include
D:\Program Files\opencv\build\include\opencv2
库目录D:\Program Files\opencv\build\x86\vc10\lib (本人64位机选64位错误,海康的也要选x86的lib,原因不懂,小白阶段)
配置连接器:项目(菜单项)->…属性->连接器->输入->附加依赖项(Debug版本,Release的**.lib),遇到无法解析的外部符号一般是忘了添加lib了。以下仅为opencv的lib,海康的lib自行脑补。
opencv_calib3d248d.lib
opencv_contrib248d.lib
opencv_core248d.lib
opencv_features2d248d.lib
opencv_flann248d.lib
opencv_gpu248d.lib
opencv_highgui248d.lib
opencv_imgproc248d.lib
opencv_legacy248d.lib
opencv_ml248d.lib
opencv_nonfree248d.lib
opencv_objdetect248d.lib
opencv_ocl248d.lib
opencv_photo248d.lib
opencv_stitching248d.lib
opencv_superres248d.lib
opencv_ts248d.lib
opencv_video248d.lib
opencv_videostab248d.lib
2.
捕获实时流,将实时流解码成YV12,然后转换成RGB
1. #include <cstdio>
2. #include <cstring>
3. #include <iostream>
4. #include "Windows.h"
5. #include "HCNetSDK.h"
6. #include "PlayM4.h"
7. #include <opencv2\opencv.hpp>
8. #include "cv.h"
9. #include "highgui.h"
10. #include <time.h>
11. #define USECOLOR 1
12. using namespace std;
13. using namespace std;
14.
15. //--------------------------------------------
16. int iPicNum=0;//Set channel NO.
17. LONG nPort=-1;
18. HWND hWnd=NULL;
19.
20.
21. void yv12toYUV(char *outYuv, char *inYv12, int width, int height,int widthStep)
22. {
23. int col,row;
24. int Y,U,V;
25. int tmp;
26. int idx;
27.
28. //printf("widthStep=%d.\n",widthStep);
29.
30. for (row=0; row<height; row++)
31. {
32. idx=row * widthStep;
33. int rowptr=row*width;
34.
35. for (col=0; col<width; col++)
36. {
37. //int colhalf=col>>1;
38. tmp = (row/2)*(width/2)+(col/2);
39. // if((row==1)&&( col>=1400 &&col<=1600))
40. // {
41. // printf("col=%d,row=%d,width=%d,tmp=%d.\n",col,row,width,tmp);
42. // 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);
43. // }
44. int) inYv12[row*width+col];
45. int) inYv12[width*height+width*height/4+tmp];
46. int) inYv12[width*height+tmp];
47. // if ((col==200))
48. // {
49. // printf("col=%d,row=%d,width=%d,tmp=%d.\n",col,row,width,tmp);
50. // printf("width*height+width*height/4+tmp=%d.\n",width*height+width*height/4+tmp);
51. // return ;
52. // }
53. if((idx+col*3+2)> (1200 * widthStep))
54. {
55. //printf("row * widthStep=%d,idx+col*3+2=%d.\n",1200 * widthStep,idx+col*3+2);
56. }
57. outYuv[idx+col*3] = Y;
58. outYuv[idx+col*3+1] = U;
59. outYuv[idx+col*3+2] = V;
60. }
61. }
62. //printf("col=%d,row=%d.\n",col,row);
63. }
64.
65.
66.
67. //解码回调 视频为YUV数据(YV12),音频为PCM数据
68. void CALLBACK DecCBFun(long nPort,char * pBuf,long nSize,FRAME_INFO * pFrameInfo, long nReserved1,long nReserved2)
69. {
70. long lFrameType = pFrameInfo->nType;
71.
72. if(lFrameType ==T_YV12)
73. {
74. #if USECOLOR
75. //int start = clock();
76. //得到图像的Y分量
77. //得到全部RGB图像
78. IplImage* pImg = cvCreateImage(cvSize(pFrameInfo->nWidth,pFrameInfo->nHeight), 8, 3);
79. cvCvtColor(pImgYCrCb,pImg,CV_YCrCb2RGB);
80. //int end = clock();
81. #else
82. IplImage* pImg = cvCreateImage(cvSize(pFrameInfo->nWidth,pFrameInfo->nHeight), 8, 1);
83. memcpy(pImg->imageData,pBuf,pFrameInfo->nWidth*pFrameInfo->nHeight);
84. #endif
85. //printf("%d\n",end-start);
86. "IPCamera",pImg);
87. cvWaitKey(1);
88. #if USECOLOR
89. cvReleaseImage(&pImgYCrCb);
90. cvReleaseImage(&pImg);
91. #else
92. cvReleaseImage(&pImg);
93. #endif
94. //此时是YV12格式的视频数据,保存在pBuf中,可以fwrite(pBuf,nSize,1,Videofile);
95. //fwrite(pBuf,nSize,1,fp);
96. }
97. /***************
98. else if (lFrameType ==T_AUDIO16)
99. {
100. //此时是音频数据,数据保存在pBuf中,可以fwrite(pBuf,nSize,1,Audiofile);
101.
102. }
103. else
104. {
105.
106. }
107. *******************/
108.
109. }
110.
111.
112. ///实时流回调
113. void CALLBACK fRealDataCallBack(LONG lRealHandle,DWORD dwDataType,BYTE *pBuffer,DWORD dwBufSize,void *pUser)
114. {
115. DWORD dRet;
116. switch (dwDataType)
117. {
118. case NET_DVR_SYSHEAD: //系统头
119. if (!PlayM4_GetPort(&nPort)) //获取播放库未使用的通道号
120. {
121. break;
122. }
123. if(dwBufSize > 0)
124. {
125. if (!PlayM4_OpenStream(nPort,pBuffer,dwBufSize,1024*1024))
126. {
127. dRet=PlayM4_GetLastError(nPort);
128. break;
129. }
130. //设置解码回调函数 只解码不显示
131. if (!PlayM4_SetDecCallBack(nPort,DecCBFun))
132. {
133. dRet=PlayM4_GetLastError(nPort);
134. break;
135. }
136.
137. //设置解码回调函数 解码且显示
138. //if (!PlayM4_SetDecCallBackEx(nPort,DecCBFun,NULL,NULL))
139. //{
140. // dRet=PlayM4_GetLastError(nPort);
141. // break;
142. //}
143.
144. //打开视频解码
145. if (!PlayM4_Play(nPort,hWnd))
146. {
147. dRet=PlayM4_GetLastError(nPort);
148. break;
149. }
150.
151. //打开音频解码, 需要码流是复合流
152. if (!PlayM4_PlaySound(nPort))
153. {
154. dRet=PlayM4_GetLastError(nPort);
155. break;
156. }
157. }
158. break;
159.
160. case NET_DVR_STREAMDATA: //码流数据
161. if (dwBufSize > 0 && nPort != -1)
162. {
163. BOOL inData=PlayM4_InputData(nPort,pBuffer,dwBufSize);
164. while (!inData)
165. {
166. Sleep(10);
167. inData=PlayM4_InputData(nPort,pBuffer,dwBufSize);
168. "PlayM4_InputData failed \n");
169. }
170. }
171. break;
172. }
173. }
174.
175. void CALLBACK g_ExceptionCallBack(DWORD dwType, LONG lUserID, LONG lHandle, void *pUser)
176. {
177. char tempbuf[256] = {0};
178. switch(dwType)
179. {
180. case EXCEPTION_RECONNECT: //预览时重连
181. "----------reconnect--------%d\n", time(NULL));
182. break;
183. default:
184. break;
185. }
186. }
187.
188. void main() {
189.
190. //---------------------------------------
191. // 初始化
192. NET_DVR_Init();
193. //设置连接时间与重连时间
194. NET_DVR_SetConnectTime(2000, 1);
195. true);
196.
197. //---------------------------------------
198. // 获取控制台窗口句柄
199. //HMODULE hKernel32 = GetModuleHandle((LPCWSTR)"kernel32");
200. //GetConsoleWindow = (PROCGETCONSOLEWINDOW)GetProcAddress(hKernel32,"GetConsoleWindow");
201.
202. //---------------------------------------
203. // 注册设备
204. LONG lUserID;
205. NET_DVR_DEVICEINFO_V30 struDeviceInfo;
206. "10.102.7.88", 8000, "admin", "12345", &struDeviceInfo);
207. if (lUserID < 0)
208. {
209. "Login error, %d\n", NET_DVR_GetLastError());
210. NET_DVR_Cleanup();
211. return;
212. }
213.
214. //---------------------------------------
215. //设置异常消息回调函数
216. NET_DVR_SetExceptionCallBack_V30(0, NULL,g_ExceptionCallBack, NULL);
217.
218.
219. //cvNamedWindow("IPCamera");
220. //---------------------------------------
221. //启动预览并设置回调数据流
222. NET_DVR_CLIENTINFO ClientInfo;
223. //Channel number 设备通道号
224. //窗口为空,设备SDK不解码只取流
225. //Main Stream
226. ClientInfo.sMultiCastIP = NULL;
227.
228. LONG lRealPlayHandle;
229. lRealPlayHandle = NET_DVR_RealPlay_V30(lUserID,&ClientInfo,fRealDataCallBack,NULL,TRUE);
230. if (lRealPlayHandle<0)
231. {
232. "NET_DVR_RealPlay_V30 failed! Error number: %d\n",NET_DVR_GetLastError());
233. return;
234. }
235.
236. //cvWaitKey(0);
237. Sleep(-1);
238.
239. //fclose(fp);
240. //---------------------------------------
241. //关闭预览
242. if(!NET_DVR_StopRealPlay(lRealPlayHandle))
243. {
244. "NET_DVR_StopRealPlay error! Error number: %d\n",NET_DVR_GetLastError());
245. return;
246. }
247. //注销用户
248. NET_DVR_Logout(lUserID);
249. NET_DVR_Cleanup();
250.
251. return;
252. }
终于能够实时捕获图像了,而且转换成了OpenCV能够处理的图像格式。
在这个过程中搜了很多资料,但是没有一个地方能详细说明,不过最终还是把这个给解决了。
附加说明:如果最后要做图像处理而不是像我这样只是将采集的图像显示出来,那么下面的语句是不需要的。
1. #if USECOLOR
2. cvReleaseImage(&pImgYCrCb);
3. cvReleaseImage(&pImg);
4. #else
5. cvReleaseImage(&pImg);
6. #endif