学习OpenCV——行人检测&人脸检测(总算运行出来了)

朴灿烈づ我的快乐病毒、 2022-06-13 05:39 148阅读 0赞

之前运行haar特征的adaboost[算法][Link 1]人脸检测一直出错，加上今天的HOG&SVM行人检测程序，一直报错。

今天总算发现自己犯了多么白痴的错误——是因为外部依赖项lib文件没有添加完整，想一头囊死啊

做程序一定要心如止水！！！ 仔细查找！！！

1.人脸识别程序：

**\[cpp\]** [view plain][] [copy][view plain]

1.  \#include "cv.h"
2.  \#include "highgui.h"
3.  
4.  \#include <stdio.h>
5.  \#include <stdlib.h>
6.  \#include <string.h>
7.  \#include <assert.h>
8.  \#include <math.h>
9.  \#include <float.h>
10. \#include <limits.h>
11. \#include <time.h>
12. \#include <ctype.h>
13. **using****namespace** std; 
14. 
15. **static** CvMemStorage\* storage = 0; 
16. **static** CvHaarClassifierCascade\* cascade = 0; 
17. 
18. **void** detect\_and\_draw( IplImage\* image ); 
19. 
20. **const****char**\* cascade\_name = 
21. "G:/OpenCV2.3.1/data/haarcascades/haarcascade\_frontalface\_alt.xml"; 
22. /\* "haarcascade\_profileface.xml";\*/
23. 
24. **int** main() 
25. \{ 
26.  CvCapture\* capture = 0; 
27. 
28.  cascade = (CvHaarClassifierCascade\*)cvLoad( cascade\_name, 0, 0, 0 ); 
29. 
30. **if**( !cascade ) 
31.  \{ 
32.  fprintf( stderr, "ERROR: Could not load classifier cascade/n" ); 
33. //fprintf( stderr,
34. //"Usage: facedetect --cascade=/"<cascade\_path>"/\[filename|camera\_index\]/n" );
35. **return** \-1; 
36.  \} 
37.  storage = cvCreateMemStorage(0); 
38. 
39. 
40.  cvNamedWindow( "result", 1 ); 
41. 
42. 
43. **const****char**\* filename = "H:/test/face05.jpg"; 
44.  IplImage\* image = cvLoadImage(filename ); 
45. 
46. **if**( image ) 
47.  \{ 
48.  detect\_and\_draw( image ); 
49.  cvWaitKey(0); 
50.  cvReleaseImage( &image ); 
51.  \} 
52. 
53.  cvDestroyWindow("result"); 
54.  cvWaitKey(0); 
55. **return** 0; 
56. \} 
57. 
58. **void** detect\_and\_draw( IplImage\* img ) 
59. \{ 
60. **static** CvScalar colors\[\] = 
61.  \{ 
62.  \{ \{0,0,255\}\}, 
63.  \{ \{0,128,255\}\}, 
64.  \{ \{0,255,255\}\}, 
65.  \{ \{0,255,0\}\}, 
66.  \{ \{255,128,0\}\}, 
67.  \{ \{255,255,0\}\}, 
68.  \{ \{255,0,0\}\}, 
69.  \{ \{255,0,255\}\} 
70.  \}; 
71. 
72. **double** scale = 1.3; 
73.  IplImage\* gray = cvCreateImage( cvSize(img->width,img->height), 8, 1 ); 
74.  IplImage\* small\_img = cvCreateImage( cvSize( cvRound (img->width/scale), 
75.  cvRound (img->height/scale)), 
76.  8, 1 ); 
77. **int** i; 
78. 
79.  cvCvtColor( img, gray, CV\_BGR2GRAY ); 
80.  cvResize( gray, small\_img, CV\_INTER\_LINEAR ); 
81.  cvEqualizeHist( small\_img, small\_img ); 
82.  cvClearMemStorage( storage ); 
83. 
84. **if**( cascade ) 
85.  \{ 
86. **double** t = (**double**)cvGetTickCount(); 
87.  CvSeq\* faces = cvHaarDetectObjects( small\_img, cascade, storage, 
88.  1.1, 2, 0/\*CV\_HAAR\_DO\_CANNY\_PRUNING\*/, 
89.  cvSize(30, 30) ); 
90.  t = (**double**)cvGetTickCount() - t; 
91.  printf( "detection time = %gms/n", t/((**double**)cvGetTickFrequency()\*1000.) ); 
92. **for**( i = 0; i < (faces ? faces->total : 0); i++ ) 
93.  \{ 
94.  CvRect\* r = (CvRect\*)cvGetSeqElem( faces, i ); 
95.  CvPoint center; 
96. **int** radius; 
97.  center.x = cvRound((r->x + r->width\*0.5)\*scale); 
98.  center.y = cvRound((r->y + r->height\*0.5)\*scale); 
99.  radius = cvRound((r->width + r->height)\*0.25\*scale); 
100.  cvCircle( img, center, radius, colors\[i%8\], 3, 8, 0 ); 
101.  \} 
102.  \} 
103. 
104.  cvShowImage( "result", img ); 
105.  cvReleaseImage( &gray ); 
106.  cvReleaseImage( &small\_img ); 
107. \}

![1334215781_5455.jpg][]

2.行人检测程序

**\[cpp\]** [view plain][] [copy][view plain]

1.  \#include <cv.h> 
2.  \#include <highgui.h> 
3.  \#include <string> 
4.  \#include <iostream> 
5.  \#include <algorithm> 
6.  \#include <iterator>
7.  
8.  \#include <stdio.h>
9.  \#include <string.h>
10. \#include <ctype.h>
11. 
12. **using****namespace** cv; 
13. **using****namespace** std; 
14. 
15. **void** help() 
16. \{ 
17.  printf( 
18. "\\nDemonstrate the use of the HoG descriptor using\\n"
19. " HOGDescriptor::hog.setSVMDetector(HOGDescriptor::getDefaultPeopleDetector());\\n"
20. "Usage:\\n"
21. "./peopledetect (<image\_filename> | <image\_list>.txt)\\n\\n"); 
22. \} 
23. 
24. **int** main(**int** argc, **char**\*\* argv) 
25. \{ 
26.  Mat img; 
27. **FILE**\* f = 0; 
28. **char** \_filename\[1024\]; 
29. 
30. **if**( argc == 1 ) 
31.  \{ 
32.  printf("Usage: peopledetect (<image\_filename> | <image\_list>.txt)\\n"); 
33. **return** 0; 
34.  \} 
35. 
36.  img = imread(argv\[1\]); 
37. 
38. **if**( img.data ) 
39.  \{ 
40.  strcpy(\_filename, argv\[1\]); 
41.  \} 
42. **else**
43.  \{ 
44.  f = fopen(argv\[1\], "rt"); 
45. **if**(!f) 
46.  \{ 
47.  fprintf( stderr, "ERROR: the specified file could not be loaded\\n"); 
48. **return** \-1; 
49.  \} 
50.  \} 
51. 
52.  HOGDescriptor hog; 
53.  hog.setSVMDetector(HOGDescriptor::getDefaultPeopleDetector());//得到检测器
54.  namedWindow("people detector", 1); 
55. 
56. **for**(;;) 
57.  \{ 
58. **char**\* filename = \_filename; 
59. **if**(f) 
60.  \{ 
61. **if**(!fgets(filename, (**int**)**sizeof**(\_filename)-2, f)) 
62. **break**; 
63. //while(\*filename && isspace(\*filename))
64. // ++filename;
65. **if**(filename\[0\] == '\#') 
66. **continue**; 
67. **int** l = strlen(filename); 
68. **while**(l > 0 && isspace(filename\[l-1\])) 
69.  \--l; 
70.  filename\[l\] = '\\0'; 
71.  img = imread(filename); 
72.  \} 
73.  printf("%s:\\n", filename); 
74. **if**(!img.data) 
75. **continue**; 
76. 
77.  fflush(stdout); 
78.  vector<Rect> found, found\_filtered; 
79. **double** t = (**double**)getTickCount(); 
80. // run the detector with default parameters. to get a higher hit-rate
81. // (and more false alarms, respectively), decrease the hitThreshold and
82. // groupThreshold (set groupThreshold to 0 to turn off the grouping completely).
83.  hog.detectMultiScale(img, found, 0, Size(8,8), Size(32,32), 1.05, 2); 
84.  t = (**double**)getTickCount() - t; 
85.  printf("tdetection time = %gms\\n", t\*1000./cv::getTickFrequency()); 
86. **size\_t** i, j; 
87. **for**( i = 0; i < found.size(); i++ ) 
88.  \{ 
89.  Rect r = found\[i\]; 
90. **for**( j = 0; j < found.size(); j++ ) 
91. **if**( j != i && (r & found\[j\]) == r) 
92. **break**; 
93. **if**( j == found.size() ) 
94.  found\_filtered.push\_back(r); 
95.  \} 
96. **for**( i = 0; i < found\_filtered.size(); i++ ) 
97.  \{ 
98.  Rect r = found\_filtered\[i\]; 
99. // the HOG detector returns slightly larger rectangles than the real objects.
100. // so we slightly shrink the rectangles to get a nicer output.
101.  r.x += cvRound(r.width\*0.1); 
102.  r.width = cvRound(r.width\*0.8); 
103.  r.y += cvRound(r.height\*0.07); 
104.  r.height = cvRound(r.height\*0.8); 
105.  rectangle(img, r.tl(), r.br(), cv::Scalar(0,255,0), 3); 
106.  \} 
107.  imshow("people detector", img); 
108. **int** c = waitKey(0) & 255; 
109. **if**( c == 'q' || c == 'Q' || !f) 
110. **break**; 
111.  \} 
112. **if**(f) 
113.  fclose(f); 
114. **return** 0; 
115. \}

![save_snippets.png][]

注意：可能会出现tbb\_debug.dll的问题，在G:\\OpenCV2.3.1\\build\\common\\tbb\\ia32\\vc10中找到tbb.dll改名为tbb\_debug.dll 加到程序绝对目录下即可

还有其他的解决方式：[http://blog.csdn.net/scut1135/article/details/7329398][http_blog.csdn.net_scut1135_article_details_7329398]

![1334216112_8912.jpg][]

转载来自：http://blog.csdn.net/zhuiqiuk/article/details/52936744

该链接下博客有几篇相关的hog和svm的介绍。

[Link 1]: http://lib.csdn.net/base/datastructure
[view plain]: http://blog.csdn.net/yangtrees/article/details/7453987#
[1334215781_5455.jpg]: https://img-my.csdn.net/uploads/201204/12/1334215781_5455.jpg
[save_snippets.png]: /images/20220613/e23d5a722ade4b36a9707856f3083f69.png
[http_blog.csdn.net_scut1135_article_details_7329398]: http://blog.csdn.net/scut1135/article/details/7329398
[1334216112_8912.jpg]: https://img-my.csdn.net/uploads/201204/12/1334216112_8912.jpg