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Feature #3957

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pull/5828/head
ValeryTyumen 9 years ago committed by Maksim Shabunin
parent 5cdf0e3e89
commit 297808e6b9
57 changed files with 951 additions and 1053 deletions
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  1. 96
      samples/cpp/3calibration.cpp
  2. 100
      samples/cpp/autofocus.cpp
  3. 184
      samples/cpp/calibration.cpp
  4. 30
      samples/cpp/camshiftdemo.cpp
  5. 8
      samples/cpp/connected_components.cpp
  6. 9
      samples/cpp/contours2.cpp
  7. 10
      samples/cpp/convexhull.cpp
  8. 9
      samples/cpp/cout_mat.cpp
  9. 17
      samples/cpp/create_mask.cpp
  10. 9
      samples/cpp/delaunay2.cpp
  11. 9
      samples/cpp/demhist.cpp
  12. 14
      samples/cpp/detect_blob.cpp
  13. 15
      samples/cpp/detect_mser.cpp
  14. 10
      samples/cpp/dft.cpp
  15. 8
      samples/cpp/distrans.cpp
  16. 9
      samples/cpp/drawing.cpp
  17. 9
      samples/cpp/edge.cpp
  18. 81
      samples/cpp/facedetect.cpp
  19. 64
      samples/cpp/facial_features.cpp
  20. 8
      samples/cpp/fback.cpp
  21. 13
      samples/cpp/ffilldemo.cpp
  22. 13
      samples/cpp/filestorage.cpp
  23. 28
      samples/cpp/fitellipse.cpp
  24. 9
      samples/cpp/grabcut.cpp
  25. 17
      samples/cpp/houghcircles.cpp
  26. 17
      samples/cpp/houghlines.cpp
  27. 15
      samples/cpp/image.cpp
  28. 16
      samples/cpp/image_alignment.cpp
  29. 11
      samples/cpp/image_sequence.cpp
  30. 12
      samples/cpp/imagelist_creator.cpp
  31. 10
      samples/cpp/inpaint.cpp
  32. 106
      samples/cpp/intelperc_capture.cpp
  33. 40
      samples/cpp/laplace.cpp
  34. 71
      samples/cpp/letter_recog.cpp
  35. 19
      samples/cpp/lkdemo.cpp
  36. 12
      samples/cpp/lsd_lines.cpp
  37. 19
      samples/cpp/mask_tmpl.cpp
  38. 23
      samples/cpp/matchmethod_orb_akaze_brisk.cpp
  39. 14
      samples/cpp/morphology2.cpp
  40. 14
      samples/cpp/npr_demo.cpp
  41. 103
      samples/cpp/openni_capture.cpp
  42. 16
      samples/cpp/pca.cpp
  43. 20
      samples/cpp/polar_transforms.cpp
  44. 13
      samples/cpp/segment_objects.cpp
  45. 125
      samples/cpp/select3dobj.cpp
  46. 22
      samples/cpp/shape_example.cpp
  47. 72
      samples/cpp/smiledetect.cpp
  48. 11
      samples/cpp/starter_imagelist.cpp
  49. 11
      samples/cpp/starter_video.cpp
  50. 55
      samples/cpp/stereo_calib.cpp
  51. 174
      samples/cpp/stereo_match.cpp
  52. 28
      samples/cpp/train_HOG.cpp
  53. 38
      samples/cpp/tree_engine.cpp
  54. 27
      samples/cpp/tvl1_optical_flow.cpp
  55. 32
      samples/cpp/videostab.cpp
  56. 8
      samples/cpp/watershed.cpp
  57. 71
      samples/tapi/ufacedetect.cpp

96
samples/cpp/3calibration.cpp
Unescape View File

@ -6,6 +6,7 @@
#include "opencv2/imgproc/imgproc.hpp"
#include "opencv2/imgcodecs/imgcodecs.hpp"
#include "opencv2/highgui/highgui.hpp"
#include "opencv2/core/utility.hpp"
#include <stdio.h>
#include <string.h>
@ -20,12 +21,12 @@ static void help()
{
printf( "\nThis is a camera calibration sample that calibrates 3 horizontally placed cameras together.\n"
"Usage: 3calibration\n"
" -w <board_width> # the number of inner corners per one of board dimension\n"
" -h <board_height> # the number of inner corners per another board dimension\n"
" [-s <squareSize>] # square size in some user-defined units (1 by default)\n"
" [-o <out_camera_params>] # the output filename for intrinsic [and extrinsic] parameters\n"
" -w=<board_width> # the number of inner corners per one of board dimension\n"
" -h=<board_height> # the number of inner corners per another board dimension\n"
" [-s=<squareSize>] # square size in some user-defined units (1 by default)\n"
" [-o=<out_camera_params>] # the output filename for intrinsic [and extrinsic] parameters\n"
" [-zt] # assume zero tangential distortion\n"
" [-a <aspectRatio>] # fix aspect ratio (fx/fy)\n"
" [-a=<aspectRatio>] # fix aspect ratio (fx/fy)\n"
" [-p] # fix the principal point at the center\n"
" [input_data] # input data - text file with a list of the images of the board\n"
"\n" );
@ -42,7 +43,7 @@ static void calcChessboardCorners(Size boardSize, float squareSize, vector<Point
float(i*squareSize), 0));
}
static bool run3Calibration( vector<vector<Point2f> > imagePoints1,
static bool run3Calibration(vector<vector<Point2f> > imagePoints1,
vector<vector<Point2f> > imagePoints2,
vector<vector<Point2f> > imagePoints3,
Size imageSize, Size boardSize,
@ -177,65 +178,48 @@ int main( int argc, char** argv )
int i, k;
int flags = 0;
Size boardSize, imageSize;
float squareSize = 1.f, aspectRatio = 1.f;
const char* outputFilename = "out_camera_data.yml";
const char* inputFilename = 0;
float squareSize, aspectRatio;
string outputFilename;
string inputFilename = "";
vector<vector<Point2f> > imgpt[3];
vector<string> imageList;
if(argc < 2)
cv::CommandLineParser parser(argc, argv,
"{help ||}{w||}{h||}{s|1|}{o|out_camera_data.yml|}"
"{zt||}{a|1|}{p||}{@input||}");
if (parser.has("help"))
{
help();
return 1;
return 0;
}
for( i = 1; i < argc; i++ )
boardSize.width = parser.get<int>("w");
boardSize.height = parser.get<int>("h");
squareSize = parser.get<float>("s");
aspectRatio = parser.get<float>("a");
if (parser.has("a"))
flags |= CALIB_FIX_ASPECT_RATIO;
if (parser.has("zt"))
flags |= CALIB_ZERO_TANGENT_DIST;
if (parser.has("p"))
flags |= CALIB_FIX_PRINCIPAL_POINT;
outputFilename = parser.get<string>("o");
inputFilename = parser.get<string>("@input");
if (!parser.check())
{
const char* s = argv[i];
if( strcmp( s, "-w" ) == 0 )
{
if( sscanf( argv[++i], "%u", &boardSize.width ) != 1 || boardSize.width <= 0 )
return fprintf( stderr, "Invalid board width\n" ), -1;
}
else if( strcmp( s, "-h" ) == 0 )
{
if( sscanf( argv[++i], "%u", &boardSize.height ) != 1 || boardSize.height <= 0 )
return fprintf( stderr, "Invalid board height\n" ), -1;
}
else if( strcmp( s, "-s" ) == 0 )
{
if( sscanf( argv[++i], "%f", &squareSize ) != 1 || squareSize <= 0 )
return fprintf( stderr, "Invalid board square width\n" ), -1;
}
else if( strcmp( s, "-a" ) == 0 )
{
if( sscanf( argv[++i], "%f", &aspectRatio ) != 1 || aspectRatio <= 0 )
return printf("Invalid aspect ratio\n" ), -1;
flags |= CALIB_FIX_ASPECT_RATIO;
}
else if( strcmp( s, "-zt" ) == 0 )
{
flags |= CALIB_ZERO_TANGENT_DIST;
}
else if( strcmp( s, "-p" ) == 0 )
{
flags |= CALIB_FIX_PRINCIPAL_POINT;
}
else if( strcmp( s, "-o" ) == 0 )
{
outputFilename = argv[++i];
}
else if( s[0] != '-' )
{
inputFilename = s;
}
else
return fprintf( stderr, "Unknown option %s", s ), -1;
help();
parser.printErrors();
return -1;
}
if( !inputFilename ||
if (boardSize.width <= 0)
return fprintf( stderr, "Invalid board width\n" ), -1;
if (boardSize.height <= 0)
return fprintf( stderr, "Invalid board height\n" ), -1;
if (squareSize <= 0)
return fprintf( stderr, "Invalid board square width\n" ), -1;
if (aspectRatio <= 0)
return printf("Invalid aspect ratio\n" ), -1;
if( inputFilename.empty() ||
!readStringList(inputFilename, imageList) ||
imageList.size() == 0 || imageList.size() % 3 != 0 )
{

100
samples/cpp/autofocus.cpp
Unescape View File

@ -43,11 +43,11 @@ const double epsylon = 0.0005; // compression, noice, etc.
struct Args_t
{
const char * deviceName;
const char * output;
unsigned int fps;
unsigned int minimumFocusStep;
unsigned int breakLimit;
string deviceName;
string output;
int fps;
int minimumFocusStep;
int breakLimit;
bool measure;
bool verbose;
} GlobalArgs;
@ -218,12 +218,12 @@ static void showHelp(const char * pName, bool welcomeMsg)
cout << "usage " << pName << ": [OPTIONS] DEVICE_NAME\n\n"
"OPTIONS:\n"
"\t-h\t\treturns this help message,\n"
"\t-o FILENAME\tsave output video in file (MJPEG only),\n"
"\t-f FPS\t\tframes per second in output video,\n"
"\t-o=<FILENAME>\tsave output video in file (MJPEG only),\n"
"\t-f=FPS\t\tframes per second in output video,\n"
"\t-m\t\tmeasure exposition\n"
"\t\t\t(returns rates from closest focus to INTY\n"
"\t\t\tfor every minimum step),\n"
"\t-d INT\t\tset minimum focus step,\n"
"\t-d=<INT>\t\tset minimum focus step,\n"
"\t-v\t\tverbose mode.\n\n\n"
"DEVICE_NAME\t\tis your digital camera model substring.\n\n\n"
"On runtime you can use keys to control:\n";
@ -244,60 +244,36 @@ static void showHelp(const char * pName, bool welcomeMsg)
static bool parseArguments(int argc, char ** argv)
{
int index;
GlobalArgs.deviceName = "Nikon";
GlobalArgs.output = NULL;
GlobalArgs.fps = DEFAULT_OUTPUT_FPS;
GlobalArgs.minimumFocusStep = 0;
cv::CommandLineParser parser(argc, argv, "{h help ||}{o||}{f||}{m||}{d|0|}{v||}{@device|Nikon|}");
if (parser.has("help"))
return false;
GlobalArgs.breakLimit = DEFAULT_BREAK_LIMIT;
GlobalArgs.measure = false;
GlobalArgs.verbose = false;
for (index = 1; index < argc; index++)
if (parser.has("o"))
GlobalArgs.output = parser.get<string>("o");
else
GlobalArgs.output = "";
if (parser.has("f"))
GlobalArgs.fps = parser.get<int>("f");
else
GlobalArgs.fps = DEFAULT_OUTPUT_FPS;
GlobalArgs.measure = parser.has("m");
GlobalArgs.verbose = parser.has("v");
GlobalArgs.minimumFocusStep = parser.get<int>("d");
GlobalArgs.deviceName = parser.get<string>("@device");
if (!parser.check())
{
const char * arg = argv[index];
if (strcmp(arg, "-h") == 0)
{
return false;
}
else if (strcmp(arg, "-o") == 0)
{
GlobalArgs.output = argv[++index];
}
else if (strcmp(arg, "-f") == 0)
{
if (sscanf(argv[++index], "%u", &GlobalArgs.fps) != 1
|| GlobalArgs.fps <= 0)
{
cerr << "Invalid fps argument." << endl;
return false;
}
}
else if (strcmp(arg, "-m") == 0)
{
GlobalArgs.measure = true;
}
else if (strcmp(arg, "-v") == 0)
{
GlobalArgs.verbose = true;
}
else if (strcmp(arg, "-d") == 0)
{
if (sscanf(argv[++index], "%u", &GlobalArgs.minimumFocusStep) != 1
|| GlobalArgs.minimumFocusStep <= 0)
{
cerr << "Invalid minimum focus step argument." << endl;
return false;
}
}
else if (arg[0] != '-')
{
GlobalArgs.deviceName = arg;
}
else
{
cerr << "Unknown option " << arg << endl;
}
parser.printErrors();
return false;
}
if (GlobalArgs.fps < 0)
{
cerr << "Invalid fps argument." << endl;
return false;
}
if (GlobalArgs.minimumFocusStep < 0)
{
cerr << "Invalid minimum focus step argument." << endl;
return false;
}
return true;
}
@ -343,7 +319,7 @@ int main(int argc, char ** argv)
cap.set(CAP_PROP_GPHOTO2_PREVIEW, true);
cap.set(CAP_PROP_VIEWFINDER, true);
cap >> frame; // To check PREVIEW output Size.
if (GlobalArgs.output != NULL)
if (!GlobalArgs.output.empty())
{
Size S = Size((int) cap.get(CAP_PROP_FRAME_WIDTH), (int) cap.get(CAP_PROP_FRAME_HEIGHT));
int fourCC = CV_FOURCC('M', 'J', 'P', 'G');
@ -375,7 +351,7 @@ int main(int argc, char ** argv)
{
break;
}
if (GlobalArgs.output != NULL)
if (!GlobalArgs.output.empty())
{
videoWriter << frame;
}

184
samples/cpp/calibration.cpp
Unescape View File

@ -16,11 +16,11 @@ using namespace std;
const char * usage =
" \nexample command line for calibration from a live feed.\n"
" calibration -w 4 -h 5 -s 0.025 -o camera.yml -op -oe\n"
" calibration -w=4 -h=5 -s=0.025 -o=camera.yml -op -oe\n"
" \n"
" example command line for calibration from a list of stored images:\n"
" imagelist_creator image_list.xml *.png\n"
" calibration -w 4 -h 5 -s 0.025 -o camera.yml -op -oe image_list.xml\n"
" calibration -w=4 -h=5 -s=0.025 -o=camera.yml -op -oe image_list.xml\n"
" where image_list.xml is the standard OpenCV XML/YAML\n"
" use imagelist_creator to create the xml or yaml list\n"
" file consisting of the list of strings, e.g.:\n"
@ -50,20 +50,20 @@ static void help()
{
printf( "This is a camera calibration sample.\n"
"Usage: calibration\n"
" -w <board_width> # the number of inner corners per one of board dimension\n"
" -h <board_height> # the number of inner corners per another board dimension\n"
" [-pt <pattern>] # the type of pattern: chessboard or circles' grid\n"
" [-n <number_of_frames>] # the number of frames to use for calibration\n"
" -w=<board_width> # the number of inner corners per one of board dimension\n"
" -h=<board_height> # the number of inner corners per another board dimension\n"
" [-pt=<pattern>] # the type of pattern: chessboard or circles' grid\n"
" [-n=<number_of_frames>] # the number of frames to use for calibration\n"
" # (if not specified, it will be set to the number\n"
" # of board views actually available)\n"
" [-d <delay>] # a minimum delay in ms between subsequent attempts to capture a next view\n"
" [-d=<delay>] # a minimum delay in ms between subsequent attempts to capture a next view\n"
" # (used only for video capturing)\n"
" [-s <squareSize>] # square size in some user-defined units (1 by default)\n"
" [-o <out_camera_params>] # the output filename for intrinsic [and extrinsic] parameters\n"
" [-s=<squareSize>] # square size in some user-defined units (1 by default)\n"
" [-o=<out_camera_params>] # the output filename for intrinsic [and extrinsic] parameters\n"
" [-op] # write detected feature points\n"
" [-oe] # write extrinsic parameters\n"
" [-zt] # assume zero tangential distortion\n"
" [-a <aspectRatio>] # fix aspect ratio (fx/fy)\n"
" [-a=<aspectRatio>] # fix aspect ratio (fx/fy)\n"
" [-p] # fix the principal point at the center\n"
" [-v] # flip the captured images around the horizontal axis\n"
" [-V] # use a video file, and not an image list, uses\n"
@ -297,20 +297,20 @@ static bool runAndSave(const string& outputFilename,
int main( int argc, char** argv )
{
Size boardSize, imageSize;
float squareSize = 1.f, aspectRatio = 1.f;
float squareSize, aspectRatio;
Mat cameraMatrix, distCoeffs;
const char* outputFilename = "out_camera_data.yml";
const char* inputFilename = 0;
string outputFilename;
string inputFilename = "";
int i, nframes = 10;
bool writeExtrinsics = false, writePoints = false;
int i, nframes;
bool writeExtrinsics, writePoints;
bool undistortImage = false;
int flags = 0;
VideoCapture capture;
bool flipVertical = false;
bool showUndistorted = false;
bool videofile = false;
int delay = 1000;
bool flipVertical;
bool showUndistorted;
bool videofile;
int delay;
clock_t prevTimestamp = 0;
int mode = DETECTION;
int cameraId = 0;
@ -318,102 +318,70 @@ int main( int argc, char** argv )
vector<string> imageList;
Pattern pattern = CHESSBOARD;
if( argc < 2 )
cv::CommandLineParser parser(argc, argv,
"{help ||}{w||}{h||}{pt|chessboard|}{n|10|}{d|1000|}{s|1|}{o|out_camera_data.yml|}"
"{op||}{oe||}{zt||}{a|1|}{p||}{v||}{V||}{su||}"
"{@input_data|0|}");
if (parser.has("help"))
{
help();
return 0;
}
for( i = 1; i < argc; i++ )
boardSize.width = parser.get<int>( "w" );
boardSize.height = parser.get<int>( "h" );
if ( parser.has("pt") )
{
const char* s = argv[i];
if( strcmp( s, "-w" ) == 0 )
{
if( sscanf( argv[++i], "%u", &boardSize.width ) != 1 || boardSize.width <= 0 )
return fprintf( stderr, "Invalid board width\n" ), -1;
}
else if( strcmp( s, "-h" ) == 0 )
{
if( sscanf( argv[++i], "%u", &boardSize.height ) != 1 || boardSize.height <= 0 )
return fprintf( stderr, "Invalid board height\n" ), -1;
}
else if( strcmp( s, "-pt" ) == 0 )
{
i++;
if( !strcmp( argv[i], "circles" ) )
pattern = CIRCLES_GRID;
else if( !strcmp( argv[i], "acircles" ) )
pattern = ASYMMETRIC_CIRCLES_GRID;
else if( !strcmp( argv[i], "chessboard" ) )
pattern = CHESSBOARD;
else
return fprintf( stderr, "Invalid pattern type: must be chessboard or circles\n" ), -1;
}
else if( strcmp( s, "-s" ) == 0 )
{
if( sscanf( argv[++i], "%f", &squareSize ) != 1 || squareSize <= 0 )
return fprintf( stderr, "Invalid board square width\n" ), -1;
}
else if( strcmp( s, "-n" ) == 0 )
{
if( sscanf( argv[++i], "%u", &nframes ) != 1 || nframes <= 3 )
return printf("Invalid number of images\n" ), -1;
}
else if( strcmp( s, "-a" ) == 0 )
{
if( sscanf( argv[++i], "%f", &aspectRatio ) != 1 || aspectRatio <= 0 )
return printf("Invalid aspect ratio\n" ), -1;
flags |= CALIB_FIX_ASPECT_RATIO;
}
else if( strcmp( s, "-d" ) == 0 )
{
if( sscanf( argv[++i], "%u", &delay ) != 1 || delay <= 0 )
return printf("Invalid delay\n" ), -1;
}
else if( strcmp( s, "-op" ) == 0 )
{
writePoints = true;
}
else if( strcmp( s, "-oe" ) == 0 )
{
writeExtrinsics = true;
}
else if( strcmp( s, "-zt" ) == 0 )
{
flags |= CALIB_ZERO_TANGENT_DIST;
}
else if( strcmp( s, "-p" ) == 0 )
{
flags |= CALIB_FIX_PRINCIPAL_POINT;
}
else if( strcmp( s, "-v" ) == 0 )
{
flipVertical = true;
}
else if( strcmp( s, "-V" ) == 0 )
{
videofile = true;
}
else if( strcmp( s, "-o" ) == 0 )
{
outputFilename = argv[++i];
}
else if( strcmp( s, "-su" ) == 0 )
{
showUndistorted = true;
}
else if( s[0] != '-' )
{
if( isdigit(s[0]) )
sscanf(s, "%d", &cameraId);
else
inputFilename = s;
}
string val = parser.get<string>("pt");
if( val == "circles" )
pattern = CIRCLES_GRID;
else if( val == "acircles" )
pattern = ASYMMETRIC_CIRCLES_GRID;
else if( val == "chessboard" )
pattern = CHESSBOARD;
else
return fprintf( stderr, "Unknown option %s", s ), -1;
return fprintf( stderr, "Invalid pattern type: must be chessboard or circles\n" ), -1;
}
if( inputFilename )
squareSize = parser.get<float>("s");
nframes = parser.get<int>("n");
aspectRatio = parser.get<float>("a");
delay = parser.get<int>("d");
writePoints = parser.has("op");
writeExtrinsics = parser.has("oe");
if (parser.has("a"))
flags |= CALIB_FIX_ASPECT_RATIO;
if ( parser.has("zt") )
flags |= CALIB_ZERO_TANGENT_DIST;
if ( parser.has("p") )
flags |= CALIB_FIX_PRINCIPAL_POINT;
flipVertical = parser.has("v");
videofile = parser.has("V");
if ( parser.has("o") )
outputFilename = parser.get<string>("o");
showUndistorted = parser.has("su");
if ( isdigit(parser.get<string>("@input_data")[0]) )
cameraId = parser.get<int>("@input_data");
else
inputFilename = parser.get<string>("@input_data");
if (!parser.check())
{
help();
parser.printErrors();
return -1;
}
if ( squareSize <= 0 )
return fprintf( stderr, "Invalid board square width\n" ), -1;
if ( nframes <= 3 )
return printf("Invalid number of images\n" ), -1;
if ( aspectRatio <= 0 )
return printf( "Invalid aspect ratio\n" ), -1;
if ( delay <= 0 )
return printf( "Invalid delay\n" ), -1;
if ( boardSize.width <= 0 )
return fprintf( stderr, "Invalid board width\n" ), -1;
if ( boardSize.height <= 0 )
return fprintf( stderr, "Invalid board height\n" ), -1;
if( !inputFilename.empty() )
{
if( !videofile && readStringList(inputFilename, imageList) )
mode = CAPTURING;

30
samples/cpp/camshiftdemo.cpp
Unescape View File

@ -47,6 +47,15 @@ static void onMouse( int event, int x, int y, int, void* )
}
}
string hot_keys =
"\n\nHot keys: \n"
"\tESC - quit the program\n"
"\tc - stop the tracking\n"
"\tb - switch to/from backprojection view\n"
"\th - show/hide object histogram\n"
"\tp - pause video\n"
"To initialize tracking, select the object with mouse\n";
static void help()
{
cout << "\nThis is a demo that shows mean-shift based tracking\n"
@ -54,33 +63,28 @@ static void help()
"This reads from video camera (0 by default, or the camera number the user enters\n"
"Usage: \n"
" ./camshiftdemo [camera number]\n";
cout << "\n\nHot keys: \n"
"\tESC - quit the program\n"
"\tc - stop the tracking\n"
"\tb - switch to/from backprojection view\n"
"\th - show/hide object histogram\n"
"\tp - pause video\n"
"To initialize tracking, select the object with mouse\n";
cout << hot_keys;
}
const char* keys =
{
"{@camera_number| 0 | camera number}"
"{help h | | show help message}{@camera_number| 0 | camera number}"
};
int main( int argc, const char** argv )
{
help();
VideoCapture cap;
Rect trackWindow;
int hsize = 16;
float hranges[] = {0,180};
const float* phranges = hranges;
CommandLineParser parser(argc, argv, keys);
if (parser.has("help"))
{
help();
return 0;
}
int camNum = parser.get<int>(0);
cap.open(camNum);
if( !cap.isOpened() )
@ -91,7 +95,7 @@ int main( int argc, const char** argv )
parser.printMessage();
return -1;
}
cout << hot_keys;
namedWindow( "Histogram", 0 );
namedWindow( "CamShift Demo", 0 );
setMouseCallback( "CamShift Demo", onMouse, 0 );

8
samples/cpp/connected_components.cpp
Unescape View File

@ -43,13 +43,17 @@ static void help()
const char* keys =
{
"{@image|../data/stuff.jpg|image for converting to a grayscale}"
"{help h||}{@image|../data/stuff.jpg|image for converting to a grayscale}"
};
int main( int argc, const char** argv )
{
help();
CommandLineParser parser(argc, argv, keys);
if (parser.has("help"))
{
help();
return 0;
}
string inputImage = parser.get<string>(0);
img = imread(inputImage.c_str(), 0);

9
samples/cpp/contours2.cpp
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@ -33,14 +33,15 @@ static void on_trackbar(int, void*)
imshow("contours", cnt_img);
}
int main( int argc, char**)
int main( int argc, char** argv)
{
Mat img = Mat::zeros(w, w, CV_8UC1);
if(argc > 1)
cv::CommandLineParser parser(argc, argv, "{help h||}");
if (parser.has("help"))
{
help();
return -1;
return 0;
}
Mat img = Mat::zeros(w, w, CV_8UC1);
//Draw 6 faces
for( int i = 0; i < 6; i++ )
{

10
samples/cpp/convexhull.cpp
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@ -13,13 +13,17 @@ static void help()
<< "./convexhull\n" << endl;
}
int main( int /*argc*/, char** /*argv*/ )
int main( int argc, char** argv )
{
CommandLineParser parser(argc, argv, "{help h||}");
if (parser.has("help"))
{
help();
return 0;
}
Mat img(500, 500, CV_8UC3);
RNG& rng = theRNG();
help();
for(;;)
{
char key;

9
samples/cpp/cout_mat.cpp
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@ -25,9 +25,14 @@ static void help()
}
int main(int,char**)
int main(int argc, char** argv)
{
help();
cv::CommandLineParser parser(argc, argv, "{help h||}");
if (parser.has("help"))
{
help();
return 0;
}
Mat I = Mat::eye(4, 4, CV_64F);
I.at<double>(1,1) = CV_PI;
cout << "I = \n" << I << ";" << endl << endl;

17
samples/cpp/create_mask.cpp
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@ -123,14 +123,21 @@ void mouseHandler(int event, int x, int y, int, void*)
int main(int argc, char **argv)
{
if(argc != 2)
cv::CommandLineParser parser(argc, argv, "{help h | | show help message}{@input | | input image}");
if (parser.has("help"))
{
parser.printMessage();
return 0;
}
string input_image = parser.get<string>("@input");
if (input_image.empty())
{
cout << "usage: " << argv[0] << " <input_image>" << endl;
exit(1);
parser.printMessage();
parser.printErrors();
return 0;
}
Mat src = imread(argv[1]);
Mat src = imread(input_image);
minx = INT_MAX; miny = INT_MAX; maxx = INT_MIN; maxy = INT_MIN;

9
samples/cpp/delaunay2.cpp
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@ -103,9 +103,14 @@ static void paint_voronoi( Mat& img, Subdiv2D& subdiv )
}
int main( int, char** )
int main( int argc, char** argv )
{
help();
cv::CommandLineParser parser(argc, argv, "{help h||}");
if (parser.has("help"))
{
help();
return 0;
}
Scalar active_facet_color(0, 0, 255), delaunay_color(255,255,255);
Rect rect(0, 0, 600, 600);

9
samples/cpp/demhist.cpp
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@ -64,14 +64,17 @@ static void help()
const char* keys =
{
"{@image|../data/baboon.jpg|input image file}"
"{help h||}{@image|../data/baboon.jpg|input image file}"
};
int main( int argc, const char** argv )
{
help();
CommandLineParser parser(argc, argv, keys);
if (parser.has("help"))
{
help();
return 0;
}
string inputImage = parser.get<string>(0);
// Load the source image. HighGUI use.

14
samples/cpp/detect_blob.cpp
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@ -69,19 +69,13 @@ int main(int argc, char *argv[])
{
vector<String> fileName;
Mat img(600, 800, CV_8UC1);
if (argc == 1)
{
fileName.push_back("../data/detect_blob.png");
}
else if (argc == 2)
{
fileName.push_back(argv[1]);
}
else
cv::CommandLineParser parser(argc, argv, "{@input |../data/detect_blob.png| }{h help | | }");
if (parser.has("h"))
{
help();
return(0);
return 0;
}
fileName.push_back(parser.get<string>("@input"));
img = imread(fileName[0], IMREAD_COLOR);
if (img.rows*img.cols <= 0)
{

15
samples/cpp/detect_mser.cpp
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@ -402,11 +402,18 @@ int main(int argc, char *argv[])
vector<String> fileName;
Mat imgOrig,img;
Size blurSize(5,5);
if (argc==2)
cv::CommandLineParser parser(argc, argv, "{ help h | | }{ @input | | }");
if (parser.has("help"))
{
fileName.push_back(argv[1]);
imgOrig = imread(fileName[0], IMREAD_GRAYSCALE); blur(imgOrig, img, blurSize);
help();
return 0;
}
string input = parser.get<string>("@input");
if (!input.empty())
{
fileName.push_back(input);
imgOrig = imread(fileName[0], IMREAD_GRAYSCALE);
blur(imgOrig, img, blurSize);
}
else
{

10
samples/cpp/dft.cpp
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@ -19,16 +19,20 @@ static void help()
const char* keys =
{
"{@image|../data/lena.jpg|input image file}"
"{help h||}{@image|../data/lena.jpg|input image file}"
};
int main(int argc, const char ** argv)
{
help();
CommandLineParser parser(argc, argv, keys);
if (parser.has("help"))
{
help();
return 0;
}
string filename = parser.get<string>(0);
Mat img = imread(filename.c_str(), IMREAD_GRAYSCALE);
Mat img = imread(filename, IMREAD_GRAYSCALE);
if( img.empty() )
{
help();

8
samples/cpp/distrans.cpp
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@ -107,15 +107,17 @@ static void help()
const char* keys =
{
"{@image |../data/stuff.jpg|input image file}"
"{help h||}{@image |../data/stuff.jpg|input image file}"
};
int main( int argc, const char** argv )
{
help();
CommandLineParser parser(argc, argv, keys);
help();
if (parser.has("help"))
return 0;
string filename = parser.get<string>(0);
gray = imread(filename.c_str(), 0);
gray = imread(filename, 0);
if(gray.empty())
{
printf("Cannot read image file: %s\n", filename.c_str());

9
samples/cpp/drawing.cpp
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@ -16,9 +16,14 @@ static Scalar randomColor(RNG& rng)
return Scalar(icolor&255, (icolor>>8)&255, (icolor>>16)&255);
}
int main()
int main(int argc, char** argv)
{
help();
cv::CommandLineParser parser(argc, argv, "{help h||}");
if (parser.has("help"))
{
help();
return 0;
}
char wndname[] = "Drawing Demo";
const int NUMBER = 100;
const int DELAY = 5;

9
samples/cpp/edge.cpp
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@ -33,14 +33,17 @@ static void help()
const char* keys =
{
"{@image |../data/fruits.jpg|input image name}"
"{help h||}{@image |../data/fruits.jpg|input image name}"
};
int main( int argc, const char** argv )
{
help();
CommandLineParser parser(argc, argv, keys);
if (parser.has("help"))
{
help();
return 0;
}
string filename = parser.get<string>(0);
image = imread(filename, 1);

81
samples/cpp/facedetect.cpp
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@ -27,73 +27,52 @@ void detectAndDraw( Mat& img, CascadeClassifier& cascade,
CascadeClassifier& nestedCascade,
double scale, bool tryflip );
string cascadeName = "../../data/haarcascades/haarcascade_frontalface_alt.xml";
string nestedCascadeName = "../../data/haarcascades/haarcascade_eye_tree_eyeglasses.xml";
string cascadeName;
string nestedCascadeName;
int main( int argc, const char** argv )
{
VideoCapture capture;
Mat frame, image;
const string scaleOpt = "--scale=";
size_t scaleOptLen = scaleOpt.length();
const string cascadeOpt = "--cascade=";
size_t cascadeOptLen = cascadeOpt.length();
const string nestedCascadeOpt = "--nested-cascade";
size_t nestedCascadeOptLen = nestedCascadeOpt.length();
const string tryFlipOpt = "--try-flip";
size_t tryFlipOptLen = tryFlipOpt.length();
string inputName;
bool tryflip = false;
help();
bool tryflip;
CascadeClassifier cascade, nestedCascade;
double scale = 1;
for( int i = 1; i < argc; i++ )
double scale;
cv::CommandLineParser parser(argc, argv,
"{help h||}"
"{cascade|../../data/haarcascades/haarcascade_frontalface_alt.xml|}"
"{nested-cascade|../../data/haarcascades/haarcascade_eye_tree_eyeglasses.xml|}"
"{scale|1|}{try-flip||}{@filename||}"
);
if (parser.has("help"))
{
cout << "Processing " << i << " " << argv[i] << endl;
if( cascadeOpt.compare( 0, cascadeOptLen, argv[i], cascadeOptLen ) == 0 )
{
cascadeName.assign( argv[i] + cascadeOptLen );
cout << " from which we have cascadeName= " << cascadeName << endl;
}
else if( nestedCascadeOpt.compare( 0, nestedCascadeOptLen, argv[i], nestedCascadeOptLen ) == 0 )
{
if( argv[i][nestedCascadeOpt.length()] == '=' )
nestedCascadeName.assign( argv[i] + nestedCascadeOpt.length() + 1 );
if( !nestedCascade.load( nestedCascadeName ) )
cerr << "WARNING: Could not load classifier cascade for nested objects" << endl;
}
else if( scaleOpt.compare( 0, scaleOptLen, argv[i], scaleOptLen ) == 0 )
{
if( !sscanf( argv[i] + scaleOpt.length(), "%lf", &scale ) || scale < 1 )
scale = 1;
cout << " from which we read scale = " << scale << endl;
}
else if( tryFlipOpt.compare( 0, tryFlipOptLen, argv[i], tryFlipOptLen ) == 0 )
{
tryflip = true;
cout << " will try to flip image horizontally to detect assymetric objects\n";
}
else if( argv[i][0] == '-' )
{
cerr << "WARNING: Unknown option %s" << argv[i] << endl;
}
else
inputName.assign( argv[i] );
help();
return 0;
}
cascadeName = parser.get<string>("cascade");
nestedCascadeName = parser.get<string>("nested-cascade");
scale = parser.get<double>("scale");
if (scale < 1)
scale = 1;
tryflip = parser.has("try-flip");
inputName = parser.get<string>("@filename");
if (!parser.check())
{
parser.printErrors();
return 0;
}
if ( !nestedCascade.load( nestedCascadeName ) )
cerr << "WARNING: Could not load classifier cascade for nested objects" << endl;
if( !cascade.load( cascadeName ) )
{
cerr << "ERROR: Could not load classifier cascade" << endl;
help();
return -1;
}
if( inputName.empty() || (isdigit(inputName.c_str()[0]) && inputName.c_str()[1] == '\0') )
if( inputName.empty() || (isdigit(inputName[0]) && inputName.size() == 1) )
{
int c = inputName.empty() ? 0 : inputName.c_str()[0] - '0' ;
int c = inputName.empty() ? 0 : inputName[0] - '0';
if(!capture.open(c))
cout << "Capture from camera #" << c << " didn't work" << endl;
}

64
samples/cpp/facial_features.cpp
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@ -18,11 +18,6 @@
using namespace std;
using namespace cv;
// Functions to parse command-line arguments
static string getCommandOption(const vector<string>&, const string&);
static void setCommandOptions(vector<string>&, int, char**);
static bool doesCmdOptionExist(const vector<string>& , const string&);
// Functions for facial feature detection
static void help();
static void detectFaces(Mat&, vector<Rect_<int> >&, string);
@ -36,22 +31,23 @@ string face_cascade_path, eye_cascade_path, nose_cascade_path, mouth_cascade_pat
int main(int argc, char** argv)
{
if(argc < 3)
cv::CommandLineParser parser(argc, argv,
"{eyes||}{nose||}{mouth||}{help h||}");
if (parser.has("help"))
{
help();
return 0;
}
input_image_path = parser.get<string>(0);
face_cascade_path = parser.get<string>(1);
eye_cascade_path = parser.has("eyes") ? parser.get<string>("eyes") : "";
nose_cascade_path = parser.has("nose") ? parser.get<string>("nose") : "";
mouth_cascade_path = parser.has("mouth") ? parser.get<string>("mouth") : "";
if (input_image_path.empty() || face_cascade_path.empty())
{
cout << "IMAGE or FACE_CASCADE are not specified";
return 1;
}
// Extract command-line options
vector<string> args;
setCommandOptions(args, argc, argv);
input_image_path = argv[1];
face_cascade_path = argv[2];
eye_cascade_path = (doesCmdOptionExist(args, "-eyes")) ? getCommandOption(args, "-eyes") : "";
nose_cascade_path = (doesCmdOptionExist(args, "-nose")) ? getCommandOption(args, "-nose") : "";
mouth_cascade_path = (doesCmdOptionExist(args, "-mouth")) ? getCommandOption(args, "-mouth") : "";
// Load image and cascade classifier files
Mat image;
image = imread(input_image_path);
@ -67,30 +63,6 @@ int main(int argc, char** argv)
return 0;
}
void setCommandOptions(vector<string>& args, int argc, char** argv)
{
for(int i = 1; i < argc; ++i)
{
args.push_back(argv[i]);
}
return;
}
string getCommandOption(const vector<string>& args, const string& opt)
{
string answer;
vector<string>::const_iterator it = find(args.begin(), args.end(), opt);
if(it != args.end() && (++it != args.end()))
answer = *it;
return answer;
}
bool doesCmdOptionExist(const vector<string>& args, const string& opt)
{
vector<string>::const_iterator it = find(args.begin(), args.end(), opt);
return (it != args.end());
}
static void help()
{
cout << "\nThis file demonstrates facial feature points detection using Haarcascade classifiers.\n"
@ -103,15 +75,15 @@ static void help()
"FACE_CASCSDE\n\t Path to a haarcascade classifier for face detection.\n"
"OPTIONS: \nThere are 3 options available which are described in detail. There must be a "
"space between the option and it's argument (All three options accept arguments).\n"
"\t-eyes : Specify the haarcascade classifier for eye detection.\n"
"\t-nose : Specify the haarcascade classifier for nose detection.\n"
"\t-mouth : Specify the haarcascade classifier for mouth detection.\n";
"\t-eyes=<eyes_cascade> : Specify the haarcascade classifier for eye detection.\n"
"\t-nose=<nose_cascade> : Specify the haarcascade classifier for nose detection.\n"
"\t-mouth=<mouth-cascade> : Specify the haarcascade classifier for mouth detection.\n";
cout << "EXAMPLE:\n"
"(1) ./cpp-example-facial_features image.jpg face.xml -eyes eyes.xml -mouth mouth.xml\n"
"(1) ./cpp-example-facial_features image.jpg face.xml -eyes=eyes.xml -mouth=mouth.xml\n"
"\tThis will detect the face, eyes and mouth in image.jpg.\n"
"(2) ./cpp-example-facial_features image.jpg face.xml -nose nose.xml\n"
"(2) ./cpp-example-facial_features image.jpg face.xml -nose=nose.xml\n"
"\tThis will detect the face and nose in image.jpg.\n"
"(3) ./cpp-example-facial_features image.jpg face.xml\n"
"\tThis will detect only the face in image.jpg.\n";

8
samples/cpp/fback.cpp
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@ -30,8 +30,14 @@ static void drawOptFlowMap(const Mat& flow, Mat& cflowmap, int step,
}
}
int main(int, char**)
int main(int argc, char** argv)
{
cv::CommandLineParser parser(argc, argv, "{help h||}");
if (parser.has("help"))
{
help();
return 0;
}
VideoCapture cap(0);
help();
if( !cap.isOpened() )

13
samples/cpp/ffilldemo.cpp
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@ -73,12 +73,21 @@ static void onMouse( int event, int x, int y, int, void* )
int main( int argc, char** argv )
{
char* filename = argc >= 2 ? argv[1] : (char*)"../data/fruits.jpg";
cv::CommandLineParser parser (argc, argv,
"{help h | | show help message}{@image|../data/fruits.jpg| input image}"
);
if (parser.has("help"))
{
parser.printMessage();
return 0;
}
string filename = parser.get<string>("@image");
image0 = imread(filename, 1);
if( image0.empty() )
{
cout << "Image empty. Usage: ffilldemo <image_name>\n";
cout << "Image empty\n";
parser.printMessage();
return 0;
}
help();

13
samples/cpp/filestorage.cpp
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@ -70,14 +70,21 @@ static ostream& operator<<(ostream& out, const MyData& m){
}
int main(int ac, char** av)
{
if (ac != 2)
cv::CommandLineParser parser(ac, av,
"{@input||}{help h ||}"
);
if (parser.has("help"))
{
help(av);
return 0;
}
string filename = parser.get<string>("@input");
if (filename.empty())
{
help(av);
return 1;
}
string filename = av[1];
//write
{
FileStorage fs(filename, FileStorage::WRITE);

28
samples/cpp/fitellipse.cpp
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@ -21,14 +21,14 @@
using namespace cv;
using namespace std;
// static void help()
// {
// cout <<
// "\nThis program is demonstration for ellipse fitting. The program finds\n"
// "contours and approximate it by ellipses.\n"
// "Call:\n"
// "./fitellipse [image_name -- Default ../data/stuff.jpg]\n" << endl;
// }
static void help()
{
cout <<
"\nThis program is demonstration for ellipse fitting. The program finds\n"
"contours and approximate it by ellipses.\n"
"Call:\n"
"./fitellipse [image_name -- Default ../data/stuff.jpg]\n" << endl;
}
int sliderPos = 70;
@ -38,11 +38,19 @@ void processImage(int, void*);
int main( int argc, char** argv )
{
const char* filename = argc == 2 ? argv[1] : (char*)"../data/stuff.jpg";
cv::CommandLineParser parser(argc, argv,
"{help h||}{@image|../data/stuff.jpg|}"
);
if (parser.has("help"))
{
help();
return 0;
}
string filename = parser.get<string>("@image");
image = imread(filename, 0);
if( image.empty() )
{
cout << "Couldn't open image " << filename << "\nUsage: fitellipse <image_name>\n";
cout << "Couldn't open image " << filename << "\n";
return 0;
}

9
samples/cpp/grabcut.cpp
Unescape View File

@ -276,15 +276,16 @@ static void on_mouse( int event, int x, int y, int flags, void* param )
int main( int argc, char** argv )
{
if( argc!=2 )
cv::CommandLineParser parser(argc, argv, "{help h||}{@input||}");
if (parser.has("help"))
{
help();
return 1;
return 0;
}
string filename = argv[1];
string filename = parser.get<string>("@input");
if( filename.empty() )
{
cout << "\nDurn, couldn't read in " << argv[1] << endl;
cout << "\nDurn, empty filename" << endl;
return 1;
}
Mat image = imread( filename, 1 );

17
samples/cpp/houghcircles.cpp
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@ -16,8 +16,21 @@ static void help()
int main(int argc, char** argv)
{
const char* filename = argc >= 2 ? argv[1] : "../data/board.jpg";
cv::CommandLineParser parser(argc, argv,
"{help h ||}{@image|../data/board.jpg|}"
);
if (parser.has("help"))
{
help();
return 0;
}
string filename = parser.get<string>("@image");
if (filename.empty())
{
help();
cout << "no image_name provided" << endl;
return -1;
}
Mat img = imread(filename, 0);
if(img.empty())
{

17
samples/cpp/houghlines.cpp
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@ -16,8 +16,21 @@ static void help()
int main(int argc, char** argv)
{
const char* filename = argc >= 2 ? argv[1] : "../data/pic1.png";
cv::CommandLineParser parser(argc, argv,
"{help h||}{@image|../data/pic1.png|}"
);
if (parser.has("help"))
{
help();
return 0;
}
string filename = parser.get<string>("@image");
if (filename.empty())
{
help();
cout << "no image_name provided" << endl;
return -1;
}
Mat src = imread(filename, 0);
if(src.empty())
{

15
samples/cpp/image.cpp
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@ -27,14 +27,19 @@ static void help()
int main( int argc, char** argv )
{
help();
const char* imagename = argc > 1 ? argv[1] : "../data/lena.jpg";
cv::CommandLineParser parser(argc, argv, "{help h | |}{@image|../data/lena.jpg|}");
if (parser.has("help"))
{
help();
return 0;
}
string imagename = parser.get<string>("@image");
#if DEMO_MIXED_API_USE
//! [iplimage]
Ptr<IplImage> iplimg(cvLoadImage(imagename)); // Ptr<T> is safe ref-counting pointer class
Ptr<IplImage> iplimg(cvLoadImage(imagename.c_str())); // Ptr<T> is safe ref-counting pointer class
if(!iplimg)
{
fprintf(stderr, "Can not load image %s\n", imagename);
fprintf(stderr, "Can not load image %s\n", imagename.c_str());
return -1;
}
Mat img = cv::cvarrToMat(iplimg); // cv::Mat replaces the CvMat and IplImage, but it's easy to convert
@ -45,7 +50,7 @@ int main( int argc, char** argv )
Mat img = imread(imagename); // the newer cvLoadImage alternative, MATLAB-style function
if(img.empty())
{
fprintf(stderr, "Can not load image %s\n", imagename);
fprintf(stderr, "Can not load image %s\n", imagename.c_str());
return -1;
}
#endif

16
samples/cpp/image_alignment.cpp
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@ -53,6 +53,7 @@ const std::string keys =
"{m motionType | affine | type of motion (translation, euclidean, affine, homography) }"
"{v verbose | 0 | display initial and final images }"
"{w warpedImfile | warpedECC.png | warped input image }"
"{h help | | print help message }"
;
@ -176,12 +177,17 @@ int main (const int argc, const char * argv[])
CommandLineParser parser(argc, argv, keys);
parser.about("ECC demo");
if (argc<2) {
if (argc < 2) {
parser.printMessage();
help();
return 1;
}
if (parser.has("help"))
{
parser.printMessage();
help();
return 1;
}
string imgFile = parser.get<string>(0);
string tempImgFile = parser.get<string>(1);
string inWarpFile = parser.get<string>(2);
@ -192,7 +198,11 @@ int main (const int argc, const char * argv[])
int verbose = parser.get<int>("v");
string finalWarp = parser.get<string>("o");
string warpedImFile = parser.get<string>("w");
if (!parser.check())
{
parser.printErrors();
return -1;
}
if (!(warpType == "translation" || warpType == "euclidean"
|| warpType == "affine" || warpType == "homography"))
{

11
samples/cpp/image_sequence.cpp
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@ -18,13 +18,20 @@ static void help(char** argv)
int main(int argc, char** argv)
{
if(argc != 2)
cv::CommandLineParser parser(argc, argv, "{help h||}{@image||}");
if (parser.has("help"))
{
help(argv);
return 0;
}
string first_file = parser.get<string>("@image");
if(first_file.empty())
{
help(argv);
return 1;
}
string first_file = argv[1];
VideoCapture sequence(first_file);
if (!sequence.isOpened())

12
samples/cpp/imagelist_creator.cpp
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@ -23,13 +23,19 @@ static void help(char** av)
int main(int ac, char** av)
{
if (ac < 3)
cv::CommandLineParser parser(ac, av, "{help h||}{@output||}");
if (parser.has("help"))
{
help(av);
return 1;
return 0;
}
string outputname = parser.get<string>("@output");
string outputname = av[1];
if (outputname.empty())
{
help(av);
return 1;
}
Mat m = imread(outputname); //check if the output is an image - prevent overwrites!
if(!m.empty()){

10
samples/cpp/inpaint.cpp
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@ -47,7 +47,13 @@ static void onMouse( int event, int x, int y, int flags, void* )
int main( int argc, char** argv )
{
char* filename = argc >= 2 ? argv[1] : (char*)"../data/fruits.jpg";
cv::CommandLineParser parser(argc, argv, "{help h||}{@image|../data/fruits.jpg|}");
if (parser.has("help"))
{
help();
return 0;
}
string filename = parser.get<string>("@image");
Mat img0 = imread(filename, -1);
if(img0.empty())
{
@ -55,8 +61,6 @@ int main( int argc, char** argv )
return 0;
}
help();
namedWindow( "image", 1 );
img = img0.clone();

106
samples/cpp/intelperc_capture.cpp
Unescape View File

@ -9,14 +9,14 @@
using namespace cv;
using namespace std;
static bool g_printStreamSetting = false;
static int g_imageStreamProfileIdx = -1;
static int g_depthStreamProfileIdx = -1;
static bool g_irStreamShow = false;
static double g_imageBrightness = -DBL_MAX;
static double g_imageContrast = -DBL_MAX;
static bool g_printTiming = false;
static bool g_showClosedPoint = false;
static bool g_printStreamSetting;
static int g_imageStreamProfileIdx;
static int g_depthStreamProfileIdx;
static bool g_irStreamShow;
static double g_imageBrightness;
static double g_imageContrast;
static bool g_printTiming;
static bool g_showClosedPoint;
static int g_closedDepthPoint[2];
@ -31,13 +31,13 @@ static void printUsage(const char *arg0)
filename++;
cout << "This program demonstrates usage of camera supported\nby Intel Perceptual computing SDK." << endl << endl;
cout << "usage: " << filename << "[-ps] [-isp IDX] [-dsp IDX]\n [-ir] [-imb VAL] [-imc VAL]" << endl << endl;
cout << "usage: " << filename << "[-ps] [-isp=IDX] [-dsp=IDX]\n [-ir] [-imb=VAL] [-imc=VAL]" << endl << endl;
cout << " -ps, print streams setting and profiles" << endl;
cout << " -isp IDX, set profile index of the image stream" << endl;
cout << " -dsp IDX, set profile index of the depth stream" << endl;
cout << " -isp=IDX, set profile index of the image stream" << endl;
cout << " -dsp=IDX, set profile index of the depth stream" << endl;
cout << " -ir, show data from IR stream" << endl;
cout << " -imb VAL, set brighness value for a image stream" << endl;
cout << " -imc VAL, set contrast value for a image stream" << endl;
cout << " -imb=VAL, set brighness value for a image stream" << endl;
cout << " -imc=VAL, set contrast value for a image stream" << endl;
cout << " -pts, print frame index and frame time" << endl;
cout << " --show-closed, print frame index and frame time" << endl;
cout << endl;
@ -45,62 +45,40 @@ static void printUsage(const char *arg0)
static void parseCMDLine(int argc, char* argv[])
{
if( argc == 1 )
cv::CommandLineParser parser(argc, argv,
"{ h help | | }"
"{ ps print-streams | | }"
"{ isp image-stream-prof | -1 | }"
"{ dsp depth-stream-prof | -1 | }"
"{ir||}{imb||}{imc||}{pts||}{show-closed||}");
if (parser.has("h"))
{
printUsage(argv[0]);
exit(0);
}
g_printStreamSetting = parser.has("ps");
g_imageStreamProfileIdx = parser.get<int>("isp");
g_depthStreamProfileIdx = parser.get<int>("dsp");
g_irStreamShow = parser.has("ir");
if (parser.has("imb"))
g_imageBrightness = parser.get<double>("imb");
else
g_imageBrightness = -DBL_MAX;
if (parser.has("imc"))
g_imageContrast = parser.get<double>("imc");
else
g_imageContrast = -DBL_MAX;
g_printTiming = parser.has("pts");
g_showClosedPoint = parser.has("show-closed");
if (!parser.check())
{
for( int i = 1; i < argc; i++ )
{
if ((0 == strcmp(argv[i], "--help")) || (0 == strcmp( argv[i], "-h")))
{
printUsage(argv[0]);
exit(0);
}
else if ((0 == strcmp( argv[i], "--print-streams")) || (0 == strcmp( argv[i], "-ps")))
{
g_printStreamSetting = true;
}
else if ((0 == strcmp( argv[i], "--image-stream-prof")) || (0 == strcmp( argv[i], "-isp")))
{
g_imageStreamProfileIdx = atoi(argv[++i]);
}
else if ((0 == strcmp( argv[i], "--depth-stream-prof")) || (0 == strcmp( argv[i], "-dsp")))
{
g_depthStreamProfileIdx = atoi(argv[++i]);
}
else if (0 == strcmp( argv[i], "-ir"))
{
g_irStreamShow = true;
}
else if (0 == strcmp( argv[i], "-imb"))
{
g_imageBrightness = atof(argv[++i]);
}
else if (0 == strcmp( argv[i], "-imc"))
{
g_imageContrast = atof(argv[++i]);
}
else if (0 == strcmp(argv[i], "-pts"))
{
g_printTiming = true;
}
else if (0 == strcmp(argv[i], "--show-closed"))
{
g_showClosedPoint = true;
}
else
{
cout << "Unsupported command line argument: " << argv[i] << "." << endl;
exit(-1);
}
}
if (g_showClosedPoint && (-1 == g_depthStreamProfileIdx))
{
cerr << "For --show-closed depth profile has be selected" << endl;
exit(-1);
}
parser.printErrors();
exit(-1);
}
if (g_showClosedPoint && (-1 == g_depthStreamProfileIdx))
{
cerr << "For --show-closed depth profile has be selected" << endl;
exit(-1);
}
}

40
samples/cpp/laplace.cpp
Unescape View File

@ -15,7 +15,7 @@ static void help()
"\nThis program demonstrates Laplace point/edge detection using OpenCV function Laplacian()\n"
"It captures from the camera of your choice: 0, 1, ... default 0\n"
"Call:\n"
"./laplace [camera #, default 0]\n" << endl;
"./laplace -c=<camera #, default 0> -p=<index of the frame to be decoded/captured next>\n" << endl;
}
enum {GAUSSIAN, BLUR, MEDIAN};
@ -26,25 +26,31 @@ int smoothType = GAUSSIAN;
int main( int argc, char** argv )
{
VideoCapture cap;
help();
if( argc == 1 || (argc == 2 && strlen(argv[1]) == 1 && isdigit(argv[1][0])))
cap.open(argc == 2 ? argv[1][0] - '0' : 0);
else if( argc >= 2 )
cv::CommandLineParser parser(argc, argv, "{help h | | }{ c | 0 | }{ p | | }");
if ( parser.has("help") )
{
help();
return 0;
}
if( parser.get<string>("c").size() == 1 && isdigit(parser.get<string>("c")[0]) )
cap.open(parser.get<int>("c"));
else
cap.open(parser.get<string>("c"));
if( cap.isOpened() )
cout << "Video " << parser.get<string>("c") <<
": width=" << cap.get(CAP_PROP_FRAME_WIDTH) <<
", height=" << cap.get(CAP_PROP_FRAME_HEIGHT) <<
", nframes=" << cap.get(CAP_PROP_FRAME_COUNT) << endl;
if( parser.has("p") )
{
cap.open(argv[1]);
if( cap.isOpened() )
cout << "Video " << argv[1] <<
": width=" << cap.get(CAP_PROP_FRAME_WIDTH) <<
", height=" << cap.get(CAP_PROP_FRAME_HEIGHT) <<
", nframes=" << cap.get(CAP_PROP_FRAME_COUNT) << endl;
if( argc > 2 && isdigit(argv[2][0]) )
int pos = parser.get<int>("p");
if (!parser.check())
{
int pos;
sscanf(argv[2], "%d", &pos);
cout << "seeking to frame #" << pos << endl;
cap.set(CAP_PROP_POS_FRAMES, pos);
parser.printErrors();
return -1;
}
cout << "seeking to frame #" << pos << endl;
cap.set(CAP_PROP_POS_FRAMES, pos);
}
if( !cap.isOpened() )

71
samples/cpp/letter_recog.cpp
Unescape View File

@ -28,9 +28,9 @@ static void help()
"and the remaining 4000 (10000 for boosting) - to test the classifier.\n"
"======================================================\n");
printf("\nThis is letter recognition sample.\n"
"The usage: letter_recog [-data <path to letter-recognition.data>] \\\n"
" [-save <output XML file for the classifier>] \\\n"
" [-load <XML file with the pre-trained classifier>] \\\n"
"The usage: letter_recog [-data=<path to letter-recognition.data>] \\\n"
" [-save=<output XML file for the classifier>] \\\n"
" [-load=<XML file with the pre-trained classifier>] \\\n"
" [-boost|-mlp|-knearest|-nbayes|-svm] # to use boost/mlp/knearest/SVM classifier instead of default Random Trees\n" );
}
@ -517,53 +517,32 @@ int main( int argc, char *argv[] )
{
string filename_to_save = "";
string filename_to_load = "";
string data_filename = "../data/letter-recognition.data";
string data_filename;
int method = 0;
int i;
for( i = 1; i < argc; i++ )
cv::CommandLineParser parser(argc, argv, "{data|../data/letter-recognition.data|}{save||}{load||}{boost||}"
"{mlp||}{knn knearest||}{nbayes||}{svm||}{help h||}");
data_filename = parser.get<string>("data");
if (parser.has("save"))
filename_to_save = parser.get<string>("save");
if (parser.has("load"))
filename_to_load = parser.get<string>("load");
if (parser.has("boost"))
method = 1;
else if (parser.has("mlp"))
method = 2;
else if (parser.has("knearest"))
method = 3;
else if (parser.has("nbayes"))
method = 4;
else if (parser.has("svm"))
method = 5;
if (parser.has("help"))
{
if( strcmp(argv[i],"-data") == 0 ) // flag "-data letter_recognition.xml"
{
i++;
data_filename = argv[i];
}
else if( strcmp(argv[i],"-save") == 0 ) // flag "-save filename.xml"
{
i++;
filename_to_save = argv[i];
}
else if( strcmp(argv[i],"-load") == 0) // flag "-load filename.xml"
{
i++;
filename_to_load = argv[i];
}
else if( strcmp(argv[i],"-boost") == 0)
{
method = 1;
}
else if( strcmp(argv[i],"-mlp") == 0 )
{
method = 2;
}
else if( strcmp(argv[i], "-knearest") == 0 || strcmp(argv[i], "-knn") == 0 )
{
method = 3;
}
else if( strcmp(argv[i], "-nbayes") == 0)
{
method = 4;
}
else if( strcmp(argv[i], "-svm") == 0)
{
method = 5;
}
else
break;
help();
return 0;
}
if( i < argc ||
(method == 0 ?
if( (method == 0 ?
build_rtrees_classifier( data_filename, filename_to_save, filename_to_load ) :
method == 1 ?
build_boost_classifier( data_filename, filename_to_save, filename_to_load ) :

19
samples/cpp/lkdemo.cpp
Unescape View File

@ -37,8 +37,6 @@ static void onMouse( int event, int x, int y, int /*flags*/, void* /*param*/ )
int main( int argc, char** argv )
{
help();
VideoCapture cap;
TermCriteria termcrit(TermCriteria::COUNT|TermCriteria::EPS,20,0.03);
Size subPixWinSize(10,10), winSize(31,31);
@ -47,10 +45,19 @@ int main( int argc, char** argv )
bool needToInit = false;
bool nightMode = false;
if( argc == 1 || (argc == 2 && strlen(argv[1]) == 1 && isdigit(argv[1][0])))
cap.open(argc == 2 ? argv[1][0] - '0' : 0);
else if( argc == 2 )
cap.open(argv[1]);
cv::CommandLineParser parser(argc, argv, "{@input||}{help h||}");
string input = parser.get<string>("@input");
if (parser.has("help"))
{
help();
return 0;
}
if( input.empty() )
cap.open(0);
else if( input.size() == 1 && isdigit(input[0]) )
cap.open(input[0] - '0');
else
cap.open(input);
if( !cap.isOpened() )
{

12
samples/cpp/lsd_lines.cpp
Unescape View File

@ -13,15 +13,13 @@ using namespace cv;
int main(int argc, char** argv)
{
std::string in;
if (argc != 2)
cv::CommandLineParser parser(argc, argv, "{@input|../data/building.jpg|input image}{help h||show help message}");
if (parser.has("help"))
{
std::cout << "Usage: lsd_lines [input image]. Now loading ../data/building.jpg" << std::endl;
in = "../data/building.jpg";
}
else
{
in = argv[1];
parser.printMessage();
return 0;
}
in = parser.get<string>("@input");
Mat image = imread(in, IMREAD_GRAYSCALE);

19
samples/cpp/mask_tmpl.cpp
Unescape View File

@ -13,16 +13,25 @@ static void help()
{
cout << "\nThis program demonstrates template match with mask.\n"
"Usage:\n"
"./mask_tmpl <image_name> <template_name> <mask_name>, Default is ../data/lena_tmpl.jpg\n"
"./mask_tmpl -i=<image_name> -t=<template_name> -m=<mask_name>, Default is ../data/lena_tmpl.jpg\n"
<< endl;
}
int main( int argc, const char** argv )
{
const char* filename = argc == 4 ? argv[1] : "../data/lena_tmpl.jpg";
const char* tmplname = argc == 4 ? argv[2] : "../data/tmpl.png";
const char* maskname = argc == 4 ? argv[3] : "../data/mask.png";
cv::CommandLineParser parser(argc, argv,
"{help h||}"
"{ i | ../data/lena_tmpl.jpg | }"
"{ t | ../data/tmpl.png | }"
"{ m | ../data/mask.png | }");
if (parser.has("help"))
{
help();
return 0;
}
string filename = parser.get<string>("i");
string tmplname = parser.get<string>("t");
string maskname = parser.get<string>("m");
Mat img = imread(filename);
Mat tmpl = imread(tmplname);
Mat mask = imread(maskname);

23
samples/cpp/matchmethod_orb_akaze_brisk.cpp
Unescape View File

@ -9,7 +9,7 @@ static void help()
{
cout << "\n This program demonstrates how to detect compute and match ORB BRISK and AKAZE descriptors \n"
"Usage: \n"
" ./matchmethod_orb_akaze_brisk <image1(../data/basketball1.png as default)> <image2(../data/basketball2.png as default)>\n"
" ./matchmethod_orb_akaze_brisk --image1=<image1(../data/basketball1.png as default)> --image2=<image2(../data/basketball2.png as default)>\n"
"Press a key when image window is active to change algorithm or descriptor";
}
@ -20,7 +20,6 @@ int main(int argc, char *argv[])
vector<String> typeDesc;
vector<String> typeAlgoMatch;
vector<String> fileName;
help();
// This descriptor are going to be detect and compute
typeDesc.push_back("AKAZE-DESCRIPTOR_KAZE_UPRIGHT"); // see http://docs.opencv.org/trunk/d8/d30/classcv_1_1AKAZE.html
typeDesc.push_back("AKAZE"); // see http://docs.opencv.org/trunk/d8/d30/classcv_1_1AKAZE.html
@ -31,21 +30,17 @@ int main(int argc, char *argv[])
typeAlgoMatch.push_back("BruteForce-L1");
typeAlgoMatch.push_back("BruteForce-Hamming");
typeAlgoMatch.push_back("BruteForce-Hamming(2)");
if (argc==1)
{
fileName.push_back("../data/basketball1.png");
fileName.push_back("../data/basketball2.png");
}
else if (argc==3)
{
fileName.push_back(argv[1]);
fileName.push_back(argv[2]);
}
else
cv::CommandLineParser parser(argc, argv,
"{ @image1 | ../data/basketball1.png | }"
"{ @image2 | ../data/basketball2.png | }"
"{help h ||}");
if (parser.has("help"))
{
help();
return(0);
return 0;
}
fileName.push_back(parser.get<string>(0));
fileName.push_back(parser.get<string>(1));
Mat img1 = imread(fileName[0], IMREAD_GRAYSCALE);
Mat img2 = imread(fileName[1], IMREAD_GRAYSCALE);
if (img1.rows*img1.cols <= 0)

14
samples/cpp/morphology2.cpp
Unescape View File

@ -3,6 +3,7 @@
#include "opencv2/highgui/highgui.hpp"
#include <stdlib.h>
#include <stdio.h>
#include <string>
using namespace cv;
@ -58,11 +59,18 @@ static void ErodeDilate(int, void*)
int main( int argc, char** argv )
{
char* filename = argc == 2 ? argv[1] : (char*)"../data/baboon.jpg";
cv::CommandLineParser parser(argc, argv, "{help h||}{ @image | ../data/baboon.jpg | }");
if (parser.has("help"))
{
help();
return 0;
}
std::string filename = parser.get<std::string>("@image");
if( (src = imread(filename,1)).empty() )
{
help();
return -1;
help();
}
//create windows for output images
namedWindow("Open/Close",1);

14
samples/cpp/npr_demo.cpp
Unescape View File

@ -28,15 +28,21 @@ using namespace cv;
int main(int argc, char* argv[])
{
if(argc < 2)
cv::CommandLineParser parser(argc, argv, "{help h||show help message}{@image||input image}");
if (parser.has("help"))
{
cout << "usage: " << argv[0] << " <Input image> " << endl;
parser.printMessage();
exit(0);
}
if (parser.get<string>("@image").empty())
{
parser.printMessage();
exit(0);
}
int num,type;
Mat I = imread(parser.get<string>("@image"));
Mat I = imread(argv[1]);
int num,type;
if(I.empty())
{

103
samples/cpp/openni_capture.cpp
Unescape View File

@ -87,90 +87,49 @@ static float getMaxDisparity( VideoCapture& capture )
static void printCommandLineParams()
{
cout << "-cd Colorized disparity? (0 or 1; 1 by default) Ignored if disparity map is not selected to show." << endl;
cout << "-fmd Fixed max disparity? (0 or 1; 0 by default) Ignored if disparity map is not colorized (-cd 0)." << endl;
cout << "-mode image mode: resolution and fps, supported three values: 0 - CAP_OPENNI_VGA_30HZ, 1 - CAP_OPENNI_SXGA_15HZ," << endl;
cout << "-cd= Colorized disparity? (0 or 1; 1 by default) Ignored if disparity map is not selected to show." << endl;
cout << "-fmd= Fixed max disparity? (0 or 1; 0 by default) Ignored if disparity map is not colorized (-cd 0)." << endl;
cout << "-mode= image mode: resolution and fps, supported three values: 0 - CAP_OPENNI_VGA_30HZ, 1 - CAP_OPENNI_SXGA_15HZ," << endl;
cout << " 2 - CAP_OPENNI_SXGA_30HZ (0 by default). Ignored if rgb image or gray image are not selected to show." << endl;
cout << "-m Mask to set which output images are need. It is a string of size 5. Each element of this is '0' or '1' and" << endl;
cout << "-m= Mask to set which output images are need. It is a string of size 5. Each element of this is '0' or '1' and" << endl;
cout << " determine: is depth map, disparity map, valid pixels mask, rgb image, gray image need or not (correspondently)?" << endl ;
cout << " By default -m 01010 i.e. disparity map and rgb image will be shown." << endl ;
cout << "-r Filename of .oni video file. The data will grabbed from it." << endl ;
cout << " By default -m=01010 i.e. disparity map and rgb image will be shown." << endl ;
cout << "-r= Filename of .oni video file. The data will grabbed from it." << endl ;
}
static void parseCommandLine( int argc, char* argv[], bool& isColorizeDisp, bool& isFixedMaxDisp, int& imageMode, bool retrievedImageFlags[],
string& filename, bool& isFileReading )
{
// set defaut values
isColorizeDisp = true;
isFixedMaxDisp = false;
imageMode = 0;
retrievedImageFlags[0] = false;
retrievedImageFlags[1] = true;
retrievedImageFlags[2] = false;
retrievedImageFlags[3] = true;
retrievedImageFlags[4] = false;
filename.clear();
isFileReading = false;
if( argc == 1 )
cv::CommandLineParser parser(argc, argv, "{h help||}{cd|1|}{fmd|0|}{mode|0|}{m|01010|}{r||}");
if (parser.has("h"))
{
help();
printCommandLineParams();
exit(0);
}
else
isColorizeDisp = (parser.get<int>("cd") != 0);
isFixedMaxDisp = (parser.get<int>("fmd") != 0);
imageMode = parser.get<int>("mode");
int flags = parser.get<int>("m");
isFileReading = parser.has("r");
if (isFileReading)
filename = parser.get<string>("r");
if (!parser.check())
{
for( int i = 1; i < argc; i++ )
{
if( !strcmp( argv[i], "--help" ) || !strcmp( argv[i], "-h" ) )
{
printCommandLineParams();
exit(0);
}
else if( !strcmp( argv[i], "-cd" ) )
{
isColorizeDisp = atoi(argv[++i]) == 0 ? false : true;
}
else if( !strcmp( argv[i], "-fmd" ) )
{
isFixedMaxDisp = atoi(argv[++i]) == 0 ? false : true;
}
else if( !strcmp( argv[i], "-mode" ) )
{
imageMode = atoi(argv[++i]);
}
else if( !strcmp( argv[i], "-m" ) )
{
string mask( argv[++i] );
if( mask.size() != 5)
CV_Error( Error::StsBadArg, "Incorrect length of -m argument string" );
int val = atoi(mask.c_str());
int l = 100000, r = 10000, sum = 0;
for( int j = 0; j < 5; j++ )
{
retrievedImageFlags[j] = ((val % l) / r ) == 0 ? false : true;
l /= 10; r /= 10;
if( retrievedImageFlags[j] ) sum++;
}
if( sum == 0 )
{
cout << "No one output image is selected." << endl;
exit(0);
}
}
else if( !strcmp( argv[i], "-r" ) )
{
filename = argv[++i];
isFileReading = true;
}
else
{
cout << "Unsupported command line argument: " << argv[i] << "." << endl;
exit(-1);
}
}
parser.printErrors();
help();
exit(-1);
}
if (flags % 100000 == 0)
{
cout << "No one output image is selected." << endl;
exit(0);
}
for (int i = 0; i < 5; i++)
{
retrievedImageFlags[4 - i] = (flags % 10 != 0);
flags /= 10;
}
}

16
samples/cpp/pca.cpp
Unescape View File

@ -121,13 +121,19 @@ static void onTrackbar(int pos, void* ptr)
// Main
int main(int argc, char** argv)
{
if (argc != 2) {
cout << "usage: " << argv[0] << " <image_list.txt>" << endl;
exit(1);
cv::CommandLineParser parser(argc, argv, "{@input||image list}{help h||show help message}");
if (parser.has("help"))
{
parser.printMessage();
exit(0);
}
// Get the path to your CSV.
string imgList = string(argv[1]);
string imgList = parser.get<string>("@input");
if (imgList.empty())
{
parser.printMessage();
exit(1);
}
// vector to hold the images
vector<Mat> images;

20
samples/cpp/polar_transforms.cpp
Unescape View File

@ -1,6 +1,7 @@
#include "opencv2/imgproc/imgproc_c.h"
#include "opencv2/videoio/videoio_c.h"
#include "opencv2/highgui/highgui_c.h"
#include "opencv2/core/utility.hpp"
#include <ctype.h>
#include <stdio.h>
@ -20,15 +21,22 @@ int main( int argc, char** argv )
IplImage* recovered_img = 0;
help();
if( argc == 1 || (argc == 2 && strlen(argv[1]) == 1 && isdigit(argv[1][0])))
capture = cvCaptureFromCAM( argc == 2 ? argv[1][0] - '0' : 0 );
else if( argc == 2 )
capture = cvCaptureFromAVI( argv[1] );
cv::CommandLineParser parser(argc, argv, "{help h||}{@input|0|}");
if (parser.has("help"))
{
help();
return 0;
}
std::string arg = parser.get<std::string>("@input");
if( arg.size() == 1 && isdigit(arg[0]) )
capture = cvCaptureFromCAM( arg[0] - '0' );
else
capture = cvCaptureFromAVI( arg.c_str() );
if( !capture )
{
const char* name = argv[0];
fprintf(stderr,"Could not initialize capturing...\n");
fprintf(stderr,"Usage: %s <CAMERA_NUMBER> , or \n %s <VIDEO_FILE>\n",argv[0],argv[0]);
fprintf(stderr,"Usage: %s <CAMERA_NUMBER> , or \n %s <VIDEO_FILE>\n", name, name);
help();
return -1;
}

13
samples/cpp/segment_objects.cpp
Unescape View File

@ -63,12 +63,17 @@ int main(int argc, char** argv)
VideoCapture cap;
bool update_bg_model = true;
help();
if( argc < 2 )
CommandLineParser parser(argc, argv, "{help h||}{@input||}");
if (parser.has("help"))
{
help();
return 0;
}
string input = parser.get<std::string>("@input");
if (input.empty())
cap.open(0);
else
cap.open(std::string(argv[1]));
cap.open(input);
if( !cap.isOpened() )
{

125
samples/cpp/select3dobj.cpp
Unescape View File

@ -30,14 +30,14 @@ const char* helphelp =
"compute the homography of the plane the calibration pattern is on. It also shows grabCut\n"
"segmentation etc.\n"
"\n"
"select3dobj -w <board_width> -h <board_height> [-s <square_size>]\n"
" -i <camera_intrinsics_filename> -o <output_prefix> [video_filename/cameraId]\n"
"select3dobj -w=<board_width> -h=<board_height> [-s=<square_size>]\n"
" -i=<camera_intrinsics_filename> -o=<output_prefix>\n"
"\n"
" -w <board_width> Number of chessboard corners wide\n"
" -h <board_height> Number of chessboard corners width\n"
" [-s <square_size>] Optional measure of chessboard squares in meters\n"
" -i <camera_intrinsics_filename> Camera matrix .yml file from calibration.cpp\n"
" -o <output_prefix> Prefix the output segmentation images with this\n"
" -w=<board_width> Number of chessboard corners wide\n"
" -h=<board_height> Number of chessboard corners width\n"
" [-s=<square_size>] Optional measure of chessboard squares in meters\n"
" -i=<camera_intrinsics_filename> Camera matrix .yml file from calibration.cpp\n"
" -o=<output_prefix> Prefix the output segmentation images with this\n"
" [video_filename/cameraId] If present, read from that video file or that ID\n"
"\n"
"Using a camera's intrinsics (from calibrating a camera -- see calibration.cpp) and an\n"
@ -384,8 +384,8 @@ static bool readStringList( const string& filename, vector<string>& l )
int main(int argc, char** argv)
{
const char* help = "Usage: select3dobj -w <board_width> -h <board_height> [-s <square_size>]\n"
"\t-i <intrinsics_filename> -o <output_prefix> [video_filename/cameraId]\n";
const char* help = "Usage: select3dobj -w=<board_width> -h=<board_height> [-s=<square_size>]\n"
"\t-i=<intrinsics_filename> -o=<output_prefix> [video_filename/cameraId]\n";
const char* screen_help =
"Actions: \n"
"\tSelect object as 3D box with the mouse. That's it\n"
@ -394,82 +394,59 @@ int main(int argc, char** argv)
"\tENTER - Confirm the selection. Grab next object in video mode.\n"
"\tq - Exit the program\n";
if(argc < 5)
cv::CommandLineParser parser(argc, argv, "{help h||}{w||}{h||}{s|1|}{i||}{o||}{@input|0|}");
if (parser.has("help"))
{
puts(helphelp);
puts(help);
return 0;
}
const char* intrinsicsFilename = 0;
const char* outprefix = 0;
const char* inputName = 0;
string intrinsicsFilename;
string outprefix = "";
string inputName = "";
int cameraId = 0;
Size boardSize;
double squareSize = 1;
double squareSize;
vector<string> imageList;
for( int i = 1; i < argc; i++ )
intrinsicsFilename = parser.get<string>("i");
outprefix = parser.get<string>("o");
boardSize.width = parser.get<int>("w");
boardSize.height = parser.get<int>("h");
squareSize = parser.get<double>("s");
if ( parser.get<string>("@input").size() == 1 && isdigit(parser.get<string>("@input")[0]) )
cameraId = parser.get<int>("@input");
else
inputName = parser.get<string>("@input");
if (!parser.check())
{
if( strcmp(argv[i], "-i") == 0 )
intrinsicsFilename = argv[++i];
else if( strcmp(argv[i], "-o") == 0 )
outprefix = argv[++i];
else if( strcmp(argv[i], "-w") == 0 )
{
if(sscanf(argv[++i], "%d", &boardSize.width) != 1 || boardSize.width <= 0)
{
printf("Incorrect -w parameter (must be a positive integer)\n");
puts(help);
return 0;
}
}
else if( strcmp(argv[i], "-h") == 0 )
{
if(sscanf(argv[++i], "%d", &boardSize.height) != 1 || boardSize.height <= 0)
{
printf("Incorrect -h parameter (must be a positive integer)\n");
puts(help);
return 0;
}
}
else if( strcmp(argv[i], "-s") == 0 )
{
if(sscanf(argv[++i], "%lf", &squareSize) != 1 || squareSize <= 0)
{
printf("Incorrect -w parameter (must be a positive real number)\n");
puts(help);
return 0;
}
}
else if( argv[i][0] != '-' )
{
if( isdigit(argv[i][0]))
sscanf(argv[i], "%d", &cameraId);
else
inputName = argv[i];
}
else
{
printf("Incorrect option\n");
puts(help);
return 0;
}
puts(help);
parser.printErrors();
return 0;
}
if( !intrinsicsFilename || !outprefix ||
boardSize.width <= 0 || boardSize.height <= 0 )
if ( boardSize.width <= 0 )
{
printf("Some of the required parameters are missing\n");
printf("Incorrect -w parameter (must be a positive integer)\n");
puts(help);
return 0;
}
if ( boardSize.height <= 0 )
{
printf("Incorrect -h parameter (must be a positive integer)\n");
puts(help);
return 0;
}
if ( squareSize <= 0 )
{
printf("Incorrect -s parameter (must be a positive real number)\n");
puts(help);
return 0;
}
Mat cameraMatrix, distCoeffs;
Size calibratedImageSize;
readCameraMatrix(intrinsicsFilename, cameraMatrix, distCoeffs, calibratedImageSize );
VideoCapture capture;
if( inputName )
if( !inputName.empty() )
{
if( !readStringList(inputName, imageList) &&
!capture.open(inputName))
@ -486,21 +463,21 @@ int main(int argc, char** argv)
const char* outbarename = 0;
{
outbarename = strrchr(outprefix, '/');
const char* tmp = strrchr(outprefix, '\\');
outbarename = strrchr(outprefix.c_str(), '/');
const char* tmp = strrchr(outprefix.c_str(), '\\');
char cmd[1000];
sprintf(cmd, "mkdir %s", outprefix);
sprintf(cmd, "mkdir %s", outprefix.c_str());
if( tmp && tmp > outbarename )
outbarename = tmp;
if( outbarename )
{
cmd[6 + outbarename - outprefix] = '\0';
cmd[6 + outbarename - outprefix.c_str()] = '\0';
int result = system(cmd);
CV_Assert(result == 0);
outbarename++;
}
else
outbarename = outprefix;
outbarename = outprefix.c_str();
}
Mat frame, shownFrame, selectedObjFrame, mapxy;
@ -510,7 +487,7 @@ int main(int argc, char** argv)
setMouseCallback("View", onMouse, 0);
bool boardFound = false;
string indexFilename = format("%s_index.yml", outprefix);
string indexFilename = format("%s_index.yml", outprefix.c_str());
vector<string> capturedImgList;
vector<Rect> roiList;
@ -588,7 +565,7 @@ int main(int argc, char** argv)
char path[1000];
for(;frameIdx < maxFrameIdx;frameIdx++)
{
sprintf(path, "%s%04d.jpg", outprefix, frameIdx);
sprintf(path, "%s%04d.jpg", outprefix.c_str(), frameIdx);
FILE* f = fopen(path, "rb");
if( !f )
break;
@ -596,7 +573,7 @@ int main(int argc, char** argv)
}
if( frameIdx == maxFrameIdx )
{
printf("Can not save the image as %s<...>.jpg", outprefix);
printf("Can not save the image as %s<...>.jpg", outprefix.c_str());
break;
}
imwrite(path, selectedObjFrame(r));

22
samples/cpp/shape_example.cpp
Unescape View File

@ -19,7 +19,7 @@ static void help()
"This program demonstrates a method for shape comparisson based on Shape Context\n"
"You should run the program providing a number between 1 and 20 for selecting an image in the folder ../data/shape_sample.\n"
"Call\n"
"./shape_example [number between 1 and 20]\n\n");
"./shape_example [number between 1 and 20, 1 default]\n\n");
}
static vector<Point> simpleContour( const Mat& currentQuery, int n=300 )
@ -54,16 +54,24 @@ static vector<Point> simpleContour( const Mat& currentQuery, int n=300 )
int main(int argc, char** argv)
{
help();
string path = "../data/shape_sample/";
int indexQuery = 1;
if( argc < 2 )
cv::CommandLineParser parser(argc, argv, "{help h||}{@input|1|}");
if (parser.has("help"))
{
std::cout<<"Using first image as query."<<std::endl;
help();
return 0;
}
else
int indexQuery = parser.get<int>("@input");
if (!parser.check())
{
sscanf( argv[1], "%i", &indexQuery );
parser.printErrors();
help();
return 1;
}
if (indexQuery < 1 || indexQuery > 20)
{
help();
return 1;
}
cv::Ptr <cv::ShapeContextDistanceExtractor> mysc = cv::createShapeContextDistanceExtractor();

72
samples/cpp/smiledetect.cpp
Unescape View File

@ -25,61 +25,42 @@ void detectAndDraw( Mat& img, CascadeClassifier& cascade,
CascadeClassifier& nestedCascade,
double scale, bool tryflip );
string cascadeName = "../../data/haarcascades/haarcascade_frontalface_alt.xml";
string nestedCascadeName = "../../data/haarcascades/haarcascade_smile.xml";
string cascadeName;
string nestedCascadeName;
int main( int argc, const char** argv )
{
VideoCapture capture;
Mat frame, image;
const string scaleOpt = "--scale=";
size_t scaleOptLen = scaleOpt.length();
const string cascadeOpt = "--cascade=";
size_t cascadeOptLen = cascadeOpt.length();
const string nestedCascadeOpt = "--smile-cascade";
size_t nestedCascadeOptLen = nestedCascadeOpt.length();
const string tryFlipOpt = "--try-flip";
size_t tryFlipOptLen = tryFlipOpt.length();
string inputName;
bool tryflip = false;
bool tryflip;
help();
CascadeClassifier cascade, nestedCascade;
double scale = 1;
for( int i = 1; i < argc; i++ )
double scale;
cv::CommandLineParser parser(argc, argv,
"{help h||}{scale|1|}"
"{cascade|../../data/haarcascades/haarcascade_frontalface_alt.xml|}"
"{smile-cascade|../../data/haarcascades/haarcascade_smile.xml|}"
"{try-flip||}{@input||}");
if (parser.has("help"))
{
cout << "Processing " << i << " " << argv[i] << endl;
if( cascadeOpt.compare( 0, cascadeOptLen, argv[i], cascadeOptLen ) == 0 )
{
cascadeName.assign( argv[i] + cascadeOptLen );
cout << " from which we have cascadeName= " << cascadeName << endl;
}
else if( nestedCascadeOpt.compare( 0, nestedCascadeOptLen, argv[i], nestedCascadeOptLen ) == 0 )
{
if( argv[i][nestedCascadeOpt.length()] == '=' )
nestedCascadeName.assign( argv[i] + nestedCascadeOpt.length() + 1 );
}
else if( scaleOpt.compare( 0, scaleOptLen, argv[i], scaleOptLen ) == 0 )
{
if( !sscanf( argv[i] + scaleOpt.length(), "%lf", &scale ) || scale < 1 )
scale = 1;
cout << " from which we read scale = " << scale << endl;
}
else if( tryFlipOpt.compare( 0, tryFlipOptLen, argv[i], tryFlipOptLen ) == 0 )
{
tryflip = true;
cout << " will try to flip image horizontally to detect assymetric objects\n";
}
else if( argv[i][0] == '-' )
{
cerr << "WARNING: Unknown option " << argv[i] << endl;
}
else
inputName.assign( argv[i] );
help();
return 0;
}
cascadeName = parser.get<string>("cascade");
nestedCascadeName = parser.get<string>("smile-cascade");
tryflip = parser.has("try-flip");
inputName = parser.get<string>("@input");
scale = parser.get<int>("scale");
if (!parser.check())
{
help();
return 1;
}
if (scale < 1)
scale = 1;
if( !cascade.load( cascadeName ) )
{
cerr << "ERROR: Could not load face cascade" << endl;
@ -92,10 +73,9 @@ int main( int argc, const char** argv )
help();
return -1;
}
if( inputName.empty() || (isdigit(inputName.c_str()[0]) && inputName.c_str()[1] == '\0') )
if( inputName.empty() || (isdigit(inputName[0]) && inputName.size() == 1) )
{
int c = inputName.empty() ? 0 : inputName.c_str()[0] - '0' ;
int c = inputName.empty() ? 0 : inputName[0] - '0' ;
if(!capture.open(c))
cout << "Capture from camera #" << c << " didn't work" << endl;
}

11
samples/cpp/starter_imagelist.cpp
Unescape View File

@ -62,13 +62,18 @@ int process(vector<string> images)
int main(int ac, char** av)
{
if (ac != 2)
cv::CommandLineParser parser(ac, av, "{help h||}{@input||}");
if (parser.has("help"))
{
help(av);
return 0;
}
std::string arg = parser.get<std::string>("@input");
if (arg.empty())
{
help(av);
return 1;
}
std::string arg = av[1];
vector<string> imagelist;
if (!readStringList(arg,imagelist))

11
samples/cpp/starter_video.cpp
Unescape View File

@ -71,12 +71,17 @@ namespace {
}
int main(int ac, char** av) {
if (ac != 2) {
cv::CommandLineParser parser(ac, av, "{help h||}{@input||}");
if (parser.has("help"))
{
help(av);
return 0;
}
std::string arg = parser.get<std::string>("@input");
if (arg.empty()) {
help(av);
return 1;
}
std::string arg = av[1];
VideoCapture capture(arg); //try to open string, this will attempt to open it as a video file or image sequence
if (!capture.isOpened()) //if this fails, try to open as a video camera, through the use of an integer param
capture.open(atoi(arg.c_str()));

55
samples/cpp/stereo_calib.cpp
Unescape View File

@ -50,7 +50,7 @@ static int print_help()
" matrix separately) stereo. \n"
" Calibrate the cameras and display the\n"
" rectified results along with the computed disparity images. \n" << endl;
cout << "Usage:\n ./stereo_calib -w board_width -h board_height [-nr /*dot not view results*/] <image list XML/YML file>\n" << endl;
cout << "Usage:\n ./stereo_calib -w=<board_width default=9> -h=<board_height default=6> <image list XML/YML file default=../data/stereo_calib.xml>\n" << endl;
return 0;
}
@ -347,50 +347,19 @@ int main(int argc, char** argv)
{
Size boardSize;
string imagelistfn;
bool showRectified = true;
for( int i = 1; i < argc; i++ )
{
if( string(argv[i]) == "-w" )
{
if( sscanf(argv[++i], "%d", &boardSize.width) != 1 || boardSize.width <= 0 )
{
cout << "invalid board width" << endl;
return print_help();
}
}
else if( string(argv[i]) == "-h" )
{
if( sscanf(argv[++i], "%d", &boardSize.height) != 1 || boardSize.height <= 0 )
{
cout << "invalid board height" << endl;
return print_help();
}
}
else if( string(argv[i]) == "-nr" )
showRectified = false;
else if( string(argv[i]) == "--help" )
return print_help();
else if( argv[i][0] == '-' )
{
cout << "invalid option " << argv[i] << endl;
return 0;
}
else
imagelistfn = argv[i];
}
if( imagelistfn == "" )
{
imagelistfn = "../data/stereo_calib.xml";
boardSize = Size(9, 6);
}
else if( boardSize.width <= 0 || boardSize.height <= 0 )
bool showRectified;
cv::CommandLineParser parser(argc, argv, "{w|9|}{h|6|}{nr||}{help||}{@input|../data/stereo_calib.xml|}");
if (parser.has("help"))
return print_help();
showRectified = !parser.has("nr");
imagelistfn = parser.get<string>("@input");
boardSize.width = parser.get<int>("w");
boardSize.height = parser.get<int>("h");
if (!parser.check())
{
cout << "if you specified XML file with chessboards, you should also specify the board width and height (-w and -h options)" << endl;
return 0;
parser.printErrors();
return 1;
}
vector<string> imagelist;
bool ok = readStringList(imagelistfn, imagelist);
if(!ok || imagelist.empty())

174
samples/cpp/stereo_match.cpp
Unescape View File

@ -21,8 +21,8 @@ static void print_help()
{
printf("\nDemo stereo matching converting L and R images into disparity and point clouds\n");
printf("\nUsage: stereo_match <left_image> <right_image> [--algorithm=bm|sgbm|hh|sgbm3way] [--blocksize=<block_size>]\n"
"[--max-disparity=<max_disparity>] [--scale=scale_factor>] [-i <intrinsic_filename>] [-e <extrinsic_filename>]\n"
"[--no-display] [-o <disparity_image>] [-p <point_cloud_file>]\n");
"[--max-disparity=<max_disparity>] [--scale=scale_factor>] [-i=<intrinsic_filename>] [-e=<extrinsic_filename>]\n"
"[--no-display] [-o=<disparity_image>] [-p=<point_cloud_file>]\n");
}
static void saveXYZ(const char* filename, const Mat& mat)
@ -43,114 +43,90 @@ static void saveXYZ(const char* filename, const Mat& mat)
int main(int argc, char** argv)
{
const char* algorithm_opt = "--algorithm=";
const char* maxdisp_opt = "--max-disparity=";
const char* blocksize_opt = "--blocksize=";
const char* nodisplay_opt = "--no-display";
const char* scale_opt = "--scale=";
if(argc < 3)
{
print_help();
return 0;
}
const char* img1_filename = 0;
const char* img2_filename = 0;
const char* intrinsic_filename = 0;
const char* extrinsic_filename = 0;
const char* disparity_filename = 0;
const char* point_cloud_filename = 0;
std::string img1_filename = "";
std::string img2_filename = "";
std::string intrinsic_filename = "";
std::string extrinsic_filename = "";
std::string disparity_filename = "";
std::string point_cloud_filename = "";
enum { STEREO_BM=0, STEREO_SGBM=1, STEREO_HH=2, STEREO_VAR=3, STEREO_3WAY=4 };
int alg = STEREO_SGBM;
int SADWindowSize = 0, numberOfDisparities = 0;
bool no_display = false;
float scale = 1.f;
int SADWindowSize, numberOfDisparities;
bool no_display;
float scale;
Ptr<StereoBM> bm = StereoBM::create(16,9);
Ptr<StereoSGBM> sgbm = StereoSGBM::create(0,16,3);
for( int i = 1; i < argc; i++ )
cv::CommandLineParser parser(argc, argv,
"{help h||}{algorithm||}{max-disparity|0|}{blocksize|0|}{no-display||}{scale|1|}{i||}{e||}{o||}{p||}");
if(parser.has("help"))
{
if( argv[i][0] != '-' )
{
if( !img1_filename )
img1_filename = argv[i];
else
img2_filename = argv[i];
}
else if( strncmp(argv[i], algorithm_opt, strlen(algorithm_opt)) == 0 )
{
char* _alg = argv[i] + strlen(algorithm_opt);
alg = strcmp(_alg, "bm") == 0 ? STEREO_BM :
strcmp(_alg, "sgbm") == 0 ? STEREO_SGBM :
strcmp(_alg, "hh") == 0 ? STEREO_HH :
strcmp(_alg, "var") == 0 ? STEREO_VAR :
strcmp(_alg, "sgbm3way") == 0 ? STEREO_3WAY : -1;
if( alg < 0 )
{
printf("Command-line parameter error: Unknown stereo algorithm\n\n");
print_help();
return -1;
}
}
else if( strncmp(argv[i], maxdisp_opt, strlen(maxdisp_opt)) == 0 )
{
if( sscanf( argv[i] + strlen(maxdisp_opt), "%d", &numberOfDisparities ) != 1 ||
numberOfDisparities < 1 || numberOfDisparities % 16 != 0 )
{
printf("Command-line parameter error: The max disparity (--maxdisparity=<...>) must be a positive integer divisible by 16\n");
print_help();
return -1;
}
}
else if( strncmp(argv[i], blocksize_opt, strlen(blocksize_opt)) == 0 )
{
if( sscanf( argv[i] + strlen(blocksize_opt), "%d", &SADWindowSize ) != 1 ||
SADWindowSize < 1 || SADWindowSize % 2 != 1 )
{
printf("Command-line parameter error: The block size (--blocksize=<...>) must be a positive odd number\n");
return -1;
}
}
else if( strncmp(argv[i], scale_opt, strlen(scale_opt)) == 0 )
{
if( sscanf( argv[i] + strlen(scale_opt), "%f", &scale ) != 1 || scale < 0 )
{
printf("Command-line parameter error: The scale factor (--scale=<...>) must be a positive floating-point number\n");
return -1;
}
}
else if( strcmp(argv[i], nodisplay_opt) == 0 )
no_display = true;
else if( strcmp(argv[i], "-i" ) == 0 )
intrinsic_filename = argv[++i];
else if( strcmp(argv[i], "-e" ) == 0 )
extrinsic_filename = argv[++i];
else if( strcmp(argv[i], "-o" ) == 0 )
disparity_filename = argv[++i];
else if( strcmp(argv[i], "-p" ) == 0 )
point_cloud_filename = argv[++i];
else
{
printf("Command-line parameter error: unknown option %s\n", argv[i]);
return -1;
}
print_help();
return 0;
}
if( !img1_filename || !img2_filename )
img1_filename = parser.get<std::string>(0);
img2_filename = parser.get<std::string>(1);
if (parser.has("algorithm"))
{
std::string _alg = parser.get<std::string>("algorithm");
alg = _alg == "bm" ? STEREO_BM :
_alg == "sgbm" ? STEREO_SGBM :
_alg == "hh" ? STEREO_HH :
_alg == "var" ? STEREO_VAR :
_alg == "sgbm3way" ? STEREO_3WAY : -1;
}
numberOfDisparities = parser.get<int>("max-disparity");
SADWindowSize = parser.get<int>("blocksize");
scale = parser.get<float>("scale");
no_display = parser.has("no-display");
if( parser.has("i") )
intrinsic_filename = parser.get<std::string>("i");
if( parser.has("e") )
extrinsic_filename = parser.get<std::string>("e");
if( parser.has("o") )
disparity_filename = parser.get<std::string>("o");
if( parser.has("p") )
point_cloud_filename = parser.get<std::string>("p");
if (!parser.check())
{
parser.printErrors();
return 1;
}
if( alg < 0 )
{
printf("Command-line parameter error: Unknown stereo algorithm\n\n");
print_help();
return -1;
}
if ( numberOfDisparities < 1 || numberOfDisparities % 16 != 0 )
{
printf("Command-line parameter error: The max disparity (--maxdisparity=<...>) must be a positive integer divisible by 16\n");
print_help();
return -1;
}
if (scale < 0)
{
printf("Command-line parameter error: The scale factor (--scale=<...>) must be a positive floating-point number\n");
return -1;
}
if (SADWindowSize < 1 || SADWindowSize % 2 != 1)
{
printf("Command-line parameter error: The block size (--blocksize=<...>) must be a positive odd number\n");
return -1;
}
if( img1_filename.empty() || img2_filename.empty() )
{
printf("Command-line parameter error: both left and right images must be specified\n");
return -1;
}
if( (intrinsic_filename != 0) ^ (extrinsic_filename != 0) )
if( (!intrinsic_filename.empty()) ^ (!extrinsic_filename.empty()) )
{
printf("Command-line parameter error: either both intrinsic and extrinsic parameters must be specified, or none of them (when the stereo pair is already rectified)\n");
return -1;
}
if( extrinsic_filename == 0 && point_cloud_filename )
if( extrinsic_filename.empty() && !point_cloud_filename.empty() )
{
printf("Command-line parameter error: extrinsic and intrinsic parameters must be specified to compute the point cloud\n");
return -1;
@ -186,13 +162,13 @@ int main(int argc, char** argv)
Rect roi1, roi2;
Mat Q;
if( intrinsic_filename )
if( !intrinsic_filename.empty() )
{
// reading intrinsic parameters
FileStorage fs(intrinsic_filename, FileStorage::READ);
if(!fs.isOpened())
{
printf("Failed to open file %s\n", intrinsic_filename);
printf("Failed to open file %s\n", intrinsic_filename.c_str());
return -1;
}
@ -208,7 +184,7 @@ int main(int argc, char** argv)
fs.open(extrinsic_filename, FileStorage::READ);
if(!fs.isOpened())
{
printf("Failed to open file %s\n", extrinsic_filename);
printf("Failed to open file %s\n", extrinsic_filename.c_str());
return -1;
}
@ -297,16 +273,16 @@ int main(int argc, char** argv)
printf("\n");
}
if(disparity_filename)
if(!disparity_filename.empty())
imwrite(disparity_filename, disp8);
if(point_cloud_filename)
if(!point_cloud_filename.empty())
{
printf("storing the point cloud...");
fflush(stdout);
Mat xyz;
reprojectImageTo3D(disp, xyz, Q, true);
saveXYZ(point_cloud_filename, xyz);
saveXYZ(point_cloud_filename.c_str(), xyz);
printf("\n");
}

28
samples/cpp/train_HOG.cpp
Unescape View File

@ -88,7 +88,7 @@ void load_images( const string & prefix, const string & filename, vector< Mat >
while( !end_of_parsing )
{
getline( file, line );
if( line == "" ) // no more file to read
if( line.empty() ) // no more file to read
{
end_of_parsing = true;
break;
@ -403,23 +403,33 @@ void test_it( const Size & size )
int main( int argc, char** argv )
{
if( argc != 5 )
cv::CommandLineParser parser(argc, argv, "{help h|| show help message}"
"{pd||pos_dir}{p||pos.lst}{nd||neg_dir}{n||neg.lst}");
if (parser.has("help"))
{
cout << "Wrong number of parameters." << endl
<< "Usage: " << argv[0] << " pos_dir pos.lst neg_dir neg.lst" << endl
<< "example: " << argv[0] << " /INRIA_dataset/ Train/pos.lst /INRIA_dataset/ Train/neg.lst" << endl;
exit( -1 );
parser.printMessage();
exit(0);
}
vector< Mat > pos_lst;
vector< Mat > full_neg_lst;
vector< Mat > neg_lst;
vector< Mat > gradient_lst;
vector< int > labels;
load_images( argv[1], argv[2], pos_lst );
string pos_dir = parser.get<string>("pd");
string pos = parser.get<string>("p");
string neg_dir = parser.get<string>("nd");
string neg = parser.get<string>("n");
if( pos_dir.empty() || pos.empty() || neg_dir.empty() || neg.empty() )
{
cout << "Wrong number of parameters." << endl
<< "Usage: " << argv[0] << " --pd=pos_dir -p=pos.lst --nd=neg_dir -n=neg.lst" << endl
<< "example: " << argv[0] << " --pd=/INRIA_dataset/ -p=Train/pos.lst --nd=/INRIA_dataset/ -n=Train/neg.lst" << endl;
exit( -1 );
}
load_images( pos_dir, pos, pos_lst );
labels.assign( pos_lst.size(), +1 );
const unsigned int old = (unsigned int)labels.size();
load_images( argv[3], argv[4], full_neg_lst );
load_images( neg_dir, neg, full_neg_lst );
sample_neg( full_neg_lst, neg_lst, Size( 96,160 ) );
labels.insert( labels.end(), neg_lst.size(), -1 );
CV_Assert( old < labels.size() );

38
samples/cpp/tree_engine.cpp
Unescape View File

@ -12,9 +12,9 @@ static void help()
{
printf(
"\nThis sample demonstrates how to use different decision trees and forests including boosting and random trees.\n"
"Usage:\n\t./tree_engine [-r <response_column>] [-ts type_spec] <csv filename>\n"
"where -r <response_column> specified the 0-based index of the response (0 by default)\n"
"-ts specifies the var type spec in the form ord[n1,n2-n3,n4-n5,...]cat[m1-m2,m3,m4-m5,...]\n"
"Usage:\n\t./tree_engine [-r=<response_column>] [-ts=type_spec] <csv filename>\n"
"where -r=<response_column> specified the 0-based index of the response (0 by default)\n"
"-ts= specifies the var type spec in the form ord[n1,n2-n3,n4-n5,...]cat[m1-m2,m3,m4-m5,...]\n"
"<csv filename> is the name of training data file in comma-separated value format\n\n");
}
@ -34,38 +34,30 @@ static void train_and_print_errs(Ptr<StatModel> model, const Ptr<TrainData>& dat
int main(int argc, char** argv)
{
if(argc < 2)
cv::CommandLineParser parser(argc, argv, "{ help h | | }{r | 0 | }{ts | | }{@input | | }");
if (parser.has("help"))
{
help();
return 0;
}
const char* filename = 0;
int response_idx = 0;
std::string filename = parser.get<std::string>("@input");
int response_idx;
std::string typespec;
for(int i = 1; i < argc; i++)
response_idx = parser.get<int>("r");
typespec = parser.get<std::string>("ts");
if( filename.empty() || !parser.check() )
{
if(strcmp(argv[i], "-r") == 0)
sscanf(argv[++i], "%d", &response_idx);
else if(strcmp(argv[i], "-ts") == 0)
typespec = argv[++i];
else if(argv[i][0] != '-' )
filename = argv[i];
else
{
printf("Error. Invalid option %s\n", argv[i]);
help();
return -1;
}
parser.printErrors();
help();
return 0;
}
printf("\nReading in %s...\n\n",filename);
printf("\nReading in %s...\n\n",filename.c_str());
const double train_test_split_ratio = 0.5;
Ptr<TrainData> data = TrainData::loadFromCSV(filename, 0, response_idx, response_idx+1, typespec);
if( data.empty() )
{
printf("ERROR: File %s can not be read\n", filename);
printf("ERROR: File %s can not be read\n", filename.c_str());
return 0;
}

27
samples/cpp/tvl1_optical_flow.cpp
Unescape View File

@ -148,23 +148,33 @@ static void writeOpticalFlowToFile(const Mat_<Point2f>& flow, const string& file
int main(int argc, const char* argv[])
{
if (argc < 3)
cv::CommandLineParser parser(argc, argv, "{help h || show help message}"
"{ @frame0 | | frame 0}{ @frame1 | | frame 1}{ @output | | output flow}");
if (parser.has("help"))
{
cerr << "Usage : " << argv[0] << "<frame0> <frame1> [<output_flow>]" << endl;
parser.printMessage();
return 0;
}
string frame0_name = parser.get<string>("@frame0");
string frame1_name = parser.get<string>("@frame1");
string file = parser.get<string>("@output");
if (frame0_name.empty() || frame1_name.empty() || file.empty())
{
cerr << "Usage : " << argv[0] << " [<frame0>] [<frame1>] [<output_flow>]" << endl;
return -1;
}
Mat frame0 = imread(argv[1], IMREAD_GRAYSCALE);
Mat frame1 = imread(argv[2], IMREAD_GRAYSCALE);
Mat frame0 = imread(frame0_name, IMREAD_GRAYSCALE);
Mat frame1 = imread(frame1_name, IMREAD_GRAYSCALE);
if (frame0.empty())
{
cerr << "Can't open image [" << argv[1] << "]" << endl;
cerr << "Can't open image [" << parser.get<string>("frame0") << "]" << endl;
return -1;
}
if (frame1.empty())
{
cerr << "Can't open image [" << argv[2] << "]" << endl;
cerr << "Can't open image [" << parser.get<string>("frame1") << "]" << endl;
return -1;
}
@ -184,9 +194,8 @@ int main(int argc, const char* argv[])
Mat out;
drawOpticalFlow(flow, out);
if (argc == 4)
writeOpticalFlowToFile(flow, argv[3]);
if (!file.empty())
writeOpticalFlowToFile(flow, file);
imshow("Flow", out);
waitKey();

32
samples/cpp/videostab.cpp
Unescape View File

@ -73,9 +73,9 @@ void printHelp()
cout << "OpenCV video stabilizer.\n"
"Usage: videostab <file_path> [arguments]\n\n"
"Arguments:\n"
" -m, --model=(transl|transl_and_scale|rigid|similarity|affine|homography)\n"
" -m=, --model=(transl|transl_and_scale|rigid|similarity|affine|homography)\n"
" Set motion model. The default is affine.\n"
" -lp, --lin-prog-motion-est=(yes|no)\n"
" -lp=, --lin-prog-motion-est=(yes|no)\n"
" Turn on/off LP based motion estimation. The default is no.\n"
" --subset=(<int_number>|auto)\n"
" Number of random samples per one motion hypothesis. The default is auto.\n"
@ -89,16 +89,16 @@ void printHelp()
" Number of keypoints to find in each frame. The default is 1000.\n"
" --local-outlier-rejection=(yes|no)\n"
" Perform local outlier rejection. The default is no.\n\n"
" -sm, --save-motions=(<file_path>|no)\n"
" -sm=, --save-motions=(<file_path>|no)\n"
" Save estimated motions into file. The default is no.\n"
" -lm, --load-motions=(<file_path>|no)\n"
" -lm=, --load-motions=(<file_path>|no)\n"
" Load motions from file. The default is no.\n\n"
" -r, --radius=<int_number>\n"
" -r=, --radius=<int_number>\n"
" Set sliding window radius. The default is 15.\n"
" --stdev=(<float_number>|auto)\n"
" Set smoothing weights standard deviation. The default is auto\n"
" (i.e. sqrt(radius)).\n"
" -lps, --lin-prog-stab=(yes|no)\n"
" -lps=, --lin-prog-stab=(yes|no)\n"
" Turn on/off linear programming based stabilization method.\n"
" --lps-trim-ratio=(<float_number>|auto)\n"
" Trimming ratio used in linear programming based method.\n"
@ -114,28 +114,28 @@ void printHelp()
" Do deblurring.\n"
" --deblur-sens=<float_number>\n"
" Set deblurring sensitivity (from 0 to +inf). The default is 0.1.\n\n"
" -t, --trim-ratio=<float_number>\n"
" -t=, --trim-ratio=<float_number>\n"
" Set trimming ratio (from 0 to 0.5). The default is 0.1.\n"
" -et, --est-trim=(yes|no)\n"
" -et=, --est-trim=(yes|no)\n"
" Estimate trim ratio automatically. The default is yes.\n"
" -ic, --incl-constr=(yes|no)\n"
" -ic=, --incl-constr=(yes|no)\n"
" Ensure the inclusion constraint is always satisfied. The default is no.\n\n"
" -bm, --border-mode=(replicate|reflect|const)\n"
" -bm=, --border-mode=(replicate|reflect|const)\n"
" Set border extrapolation mode. The default is replicate.\n\n"
" --mosaic=(yes|no)\n"
" Do consistent mosaicing. The default is no.\n"
" --mosaic-stdev=<float_number>\n"
" Consistent mosaicing stdev threshold. The default is 10.0.\n\n"
" -mi, --motion-inpaint=(yes|no)\n"
" -mi=, --motion-inpaint=(yes|no)\n"
" Do motion inpainting (requires CUDA support). The default is no.\n"
" --mi-dist-thresh=<float_number>\n"
" Estimated flow distance threshold for motion inpainting. The default is 5.0.\n\n"
" -ci, --color-inpaint=(no|average|ns|telea)\n"
" -ci=, --color-inpaint=(no|average|ns|telea)\n"
" Do color inpainting. The defailt is no.\n"
" --ci-radius=<float_number>\n"
" Set color inpainting radius (for ns and telea options only).\n"
" The default is 2.0\n\n"
" -ws, --wobble-suppress=(yes|no)\n"
" -ws=, --wobble-suppress=(yes|no)\n"
" Perform wobble suppression. The default is no.\n"
" --ws-lp=(yes|no)\n"
" Turn on/off LP based motion estimation. The default is no.\n"
@ -156,13 +156,13 @@ void printHelp()
" Number of keypoints to find in each frame. The default is 1000.\n"
" --ws-local-outlier-rejection=(yes|no)\n"
" Perform local outlier rejection. The default is no.\n\n"
" -sm2, --save-motions2=(<file_path>|no)\n"
" -sm2=, --save-motions2=(<file_path>|no)\n"
" Save motions estimated for wobble suppression. The default is no.\n"
" -lm2, --load-motions2=(<file_path>|no)\n"
" -lm2=, --load-motions2=(<file_path>|no)\n"
" Load motions for wobble suppression from file. The default is no.\n\n"
" -gpu=(yes|no)\n"
" Use CUDA optimization whenever possible. The default is no.\n\n"
" -o, --output=(no|<file_path>)\n"
" -o=, --output=(no|<file_path>)\n"
" Set output file path explicitely. The default is stabilized.avi.\n"
" --fps=(<float_number>|auto)\n"
" Set output video FPS explicitely. By default the source FPS is used (auto).\n"

8
samples/cpp/watershed.cpp
Unescape View File

@ -48,7 +48,13 @@ static void onMouse( int event, int x, int y, int flags, void* )
int main( int argc, char** argv )
{
char* filename = argc >= 2 ? argv[1] : (char*)"../data/fruits.jpg";
cv::CommandLineParser parser(argc, argv, "{help h | | }{ @input | ../data/fruits.jpg | }");
if (parser.has("help"))
{
help();
return 0;
}
string filename = parser.get<string>("@input");
Mat img0 = imread(filename, 1), imgGray;
if( img0.empty() )

71
samples/tapi/ufacedetect.cpp
Unescape View File

@ -36,56 +36,37 @@ int main( int argc, const char** argv )
VideoCapture capture;
UMat frame, image;
Mat canvas;
const string scaleOpt = "--scale=";
size_t scaleOptLen = scaleOpt.length();
const string cascadeOpt = "--cascade=";
size_t cascadeOptLen = cascadeOpt.length();
const string nestedCascadeOpt = "--nested-cascade";
size_t nestedCascadeOptLen = nestedCascadeOpt.length();
const string tryFlipOpt = "--try-flip";
size_t tryFlipOptLen = tryFlipOpt.length();
String inputName;
bool tryflip = false;
help();
string inputName;
bool tryflip;
CascadeClassifier cascade, nestedCascade;
double scale = 1;
double scale;
for( int i = 1; i < argc; i++ )
cv::CommandLineParser parser(argc, argv,
"{cascade|../../data/haarcascades/haarcascade_frontalface_alt.xml|}"
"{nested-cascade|../../data/haarcascades/haarcascade_eye_tree_eyeglasses.xml|}"
"{help h ||}{scale|1|}{try-flip||}{@filename||}"
);
if (parser.has("help"))
{
cout << "Processing " << i << " " << argv[i] << endl;
if( cascadeOpt.compare( 0, cascadeOptLen, argv[i], cascadeOptLen ) == 0 )
{
cascadeName.assign( argv[i] + cascadeOptLen );
cout << " from which we have cascadeName= " << cascadeName << endl;
}
else if( nestedCascadeOpt.compare( 0, nestedCascadeOptLen, argv[i], nestedCascadeOptLen ) == 0 )
{
if( argv[i][nestedCascadeOpt.length()] == '=' )
nestedCascadeName.assign( argv[i] + nestedCascadeOpt.length() + 1 );
if( !nestedCascade.load( nestedCascadeName ) )
cerr << "WARNING: Could not load classifier cascade for nested objects" << endl;
}
else if( scaleOpt.compare( 0, scaleOptLen, argv[i], scaleOptLen ) == 0 )
{
if( !sscanf( argv[i] + scaleOpt.length(), "%lf", &scale ) )
scale = 1;
cout << " from which we read scale = " << scale << endl;
}
else if( tryFlipOpt.compare( 0, tryFlipOptLen, argv[i], tryFlipOptLen ) == 0 )
{
tryflip = true;
cout << " will try to flip image horizontally to detect assymetric objects\n";
}
else if( argv[i][0] == '-' )
{
cerr << "WARNING: Unknown option " << argv[i] << endl;
}
else
inputName = argv[i];
help();
return 0;
}
cascadeName = parser.get<string>("cascade");
nestedCascadeName = parser.get<string>("nested-cascade");
scale = parser.get<double>("scale");
tryflip = parser.has("try-flip");
inputName = parser.get<string>("@filename");
if ( !parser.check())
{
parser.printErrors();
help();
return -1;
}
if ( !nestedCascade.load( nestedCascadeName ) )
cerr << "WARNING: Could not load classifier cascade for nested objects" << endl;
if( !cascade.load( cascadeName ) )
{
cerr << "ERROR: Could not load classifier cascade" << endl;
@ -95,9 +76,9 @@ int main( int argc, const char** argv )
cout << "old cascade: " << (cascade.isOldFormatCascade() ? "TRUE" : "FALSE") << endl;
if( inputName.empty() || (isdigit(inputName.c_str()[0]) && inputName.c_str()[1] == '\0') )
if( inputName.empty() || (isdigit(inputName[0]) && inputName.size() == 1) )
{
int c = inputName.empty() ? 0 : inputName.c_str()[0] - '0';
int c = inputName.empty() ? 0 : inputName[0] - '0';
if(!capture.open(c))
cout << "Capture from camera #" << c << " didn't work" << endl;
}

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