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reverted samples with new command argument parser. will be continued after OpenCV release.

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This commit is contained in:
itsyplen
2011-06-09 12:01:47 +00:00
parent 8f4f982e5c
commit 3876cf22e3
16 changed files with 601 additions and 559 deletions
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66
samples/cpp/bagofwords_classification.cpp
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@@ -1,4 +1,3 @@
#include "opencv2/core/core.hpp"
#include "opencv2/highgui/highgui.hpp"
#include "opencv2/imgproc/imgproc.hpp"
#include "opencv2/features2d/features2d.hpp"
@@ -28,26 +27,29 @@ const string bowImageDescriptorsDir = "/bowImageDescriptors";
const string svmsDir = "/svms";
const string plotsDir = "/plots";
void help()
void help(char** argv)
{
printf("\nThis program shows how to read in, train on and produce test results for the PASCAL VOC (Visual Object Challenge) data. \n"
"It shows how to use detectors, descriptors and recognition methods \n"
"Usage: \n"
"Format:\n"
"./bagofwords_classification \n"
"--voc_path=<Path to Pascal VOC data (e.g. /home/my/VOCdevkit/VOC2010). \n"
" Note: VOC2007-VOC2010 are supported.> \n"
"--result_directory=<Path to result directory. Following folders will be created in [result directory]: \n"
" bowImageDescriptors - to store image descriptors, \n"
" svms - to store trained svms, \n"
" plots - to store files for plots creating. \n"
"[--feature_detector]=<Feature detector name (e.g. SURF, FAST...) - see createFeatureDetector() function in detectors.cpp \n"
" Currently 12/2010, this is FAST, STAR, SIFT, SURF, MSER, GFTT, HARRIS> \n"
"[--descriptor_extractor]=<Descriptor extractor name (e.g. SURF, SIFT) - see createDescriptorExtractor() function in descriptors.cpp \n"
" Currently 12/2010, this is SURF, OpponentSIFT, SIFT, OpponentSURF, BRIEF> \n"
"[--descriptor_matcher]=<Descriptor matcher name (e.g. BruteForce) - see createDescriptorMatcher() function in matchers.cpp \n"
" Currently 12/2010, this is BruteForce, BruteForce-L1, FlannBased, BruteForce-Hamming, BruteForce-HammingLUT> \n"
"\n");
cout << "\nThis program shows how to read in, train on and produce test results for the PASCAL VOC (Visual Object Challenge) data. \n"
<< "It shows how to use detectors, descriptors and recognition methods \n"
"Using OpenCV version %s\n" << CV_VERSION << "\n"
<< "Call: \n"
<< "Format:\n ./" << argv[0] << " [VOC path] [result directory] \n"
<< " or: \n"
<< " ./" << argv[0] << " [VOC path] [result directory] [feature detector] [descriptor extractor] [descriptor matcher] \n"
<< "\n"
<< "Input parameters: \n"
<< "[VOC path] Path to Pascal VOC data (e.g. /home/my/VOCdevkit/VOC2010). Note: VOC2007-VOC2010 are supported. \n"
<< "[result directory] Path to result diractory. Following folders will be created in [result directory]: \n"
<< " bowImageDescriptors - to store image descriptors, \n"
<< " svms - to store trained svms, \n"
<< " plots - to store files for plots creating. \n"
<< "[feature detector] Feature detector name (e.g. SURF, FAST...) - see createFeatureDetector() function in detectors.cpp \n"
<< " Currently 12/2010, this is FAST, STAR, SIFT, SURF, MSER, GFTT, HARRIS \n"
<< "[descriptor extractor] Descriptor extractor name (e.g. SURF, SIFT) - see createDescriptorExtractor() function in descriptors.cpp \n"
<< " Currently 12/2010, this is SURF, OpponentSIFT, SIFT, OpponentSURF, BRIEF \n"
<< "[descriptor matcher] Descriptor matcher name (e.g. BruteForce) - see createDescriptorMatcher() function in matchers.cpp \n"
<< " Currently 12/2010, this is BruteForce, BruteForce-L1, FlannBased, BruteForce-Hamming, BruteForce-HammingLUT \n"
<< "\n";
}
@@ -2505,24 +2507,16 @@ void computeGnuPlotOutput( const string& resPath, const string& objClassName, Vo
int main(int argc, const char** argv)
int main(int argc, char** argv)
{
help();
CommandLineParser parser(argc, argv);
const string vocPath = parser.get<string>("--voc_path");
const string resPath = parser.get<string>("--result_directory");
const string featureDetectName = parser.get<string>("--feature_detector");
const string descExtName = parser.get<string>("--descriptor_extractor");
const string descMatchName = parser.get<string>("--descriptor_matcher");
if( vocPath.empty() || resPath.empty())
if( argc != 3 && argc != 6 )
{
help();
printf("Cannot find --voc_path=%s or --result_directory=%s\n", vocPath.c_str(), resPath.c_str());
help(argv);
return -1;
}
const string vocPath = argv[1], resPath = argv[2];
// Read or set default parameters
string vocName;
DDMParams ddmParams;
@@ -2540,12 +2534,12 @@ int main(int argc, const char** argv)
else
{
vocName = getVocName(vocPath);
if( featureDetectName.empty() || descExtName.empty() || descMatchName.empty())
if( argc!= 6 )
{
cout << "Feature detector, descriptor extractor, descriptor matcher must be set" << endl;
return -1;
}
ddmParams = DDMParams( featureDetectName.c_str(), descExtName.c_str(), descMatchName.c_str()); // from command line
ddmParams = DDMParams( argv[3], argv[4], argv[5] ); // from command line
// vocabTrainParams and svmTrainParamsExt is set by defaults
paramsFS.open( resPath + "/" + paramsFile, FileStorage::WRITE );
if( paramsFS.isOpened() )

26
samples/cpp/bgfg_segm.cpp
View File

@@ -1,40 +1,32 @@
#include "opencv2/core/core.hpp"
#include "opencv2/video/background_segm.hpp"
#include "opencv2/highgui/highgui.hpp"
#include <stdio.h>
using namespace cv;
using namespace std;
void help()
{
printf("\nDo background segmentation, especially demonstrating the use of cvUpdateBGStatModel().\n"
" Learns the background at the start and then segments.\n"
" Learning is togged by the space key. Will read from file or camera\n"
"Usage: \n"
" ./bgfg_segm [--file_name]=<input file, camera as defautl>\n\n");
"Learns the background at the start and then segments.\n"
"Learning is togged by the space key. Will read from file or camera\n"
"Call:\n"
"./ bgfg_segm [file name -- if no name, read from camera]\n\n");
}
//this is a sample for foreground detection functions
int main(int argc, const char** argv)
int main(int argc, char** argv)
{
help();
CommandLineParser parser(argc, argv);
string fileName = parser.get<string>("file_name", "0");
VideoCapture cap;
bool update_bg_model = true;
if(fileName == "0" )
if( argc < 2 )
cap.open(0);
else
cap.open(fileName.c_str());
cap.open(argv[1]);
help();
if( !cap.isOpened() )
{
help();
printf("can not open camera or video file\n");
return -1;
}

38
samples/cpp/brief_match_test.cpp
View File

@@ -4,7 +4,6 @@
* Created on: Oct 17, 2010
* Author: ethan
*/
#include "opencv2/core/core.hpp"
#include "opencv2/calib3d/calib3d.hpp"
#include "opencv2/features2d/features2d.hpp"
#include "opencv2/imgproc/imgproc.hpp"
@@ -12,7 +11,6 @@
#include <vector>
#include <iostream>
using namespace std;
using namespace cv;
using std::cout;
@@ -20,15 +18,13 @@ using std::cerr;
using std::endl;
using std::vector;
void help()
{
printf("\nThis program shows how to use BRIEF descriptor to match points in features2d\n"
"It takes in two images, finds keypoints and matches them displaying matches and final homography warped results\n"
"Usage: \n"
" ./brief_match_test [--first_file]=<first file name, left01.jpg as default> \n"
" [--second_file]=<second file name, left02.jpg as default> \n"
"Example: \n"
"./brief_match_test --first_file=left01.jpg --second_file=left02.jpg \n");
void help(char **av)
{
cerr << "usage: " << av[0] << " im1.jpg im2.jpg"
<< "\n"
<< "This program shows how to use BRIEF descriptor to match points in features2d\n"
<< "It takes in two images, finds keypoints and matches them displaying matches and final homography warped results\n"
<< endl;
}
//Copy (x,y) location of descriptor matches found from KeyPoint data structures into Point2f vectors
@@ -59,22 +55,16 @@ double match(const vector<KeyPoint>& /*kpts_train*/, const vector<KeyPoint>& /*k
int main(int ac, const char ** av)
int main(int ac, char ** av)
{
help();
CommandLineParser parser(ac, av);
string im1_name, im2_name;
im1_name = parser.get<string>("first_file", "left01.jpg");
im2_name = parser.get<string>("second_file", "left02.jpg");
if (im1_name.empty() || im2_name.empty())
if (ac != 3)
{
help();
printf("\n You have to indicate two files first_file and second_file \n");
return -1;
help(av);
return 1;
}
string im1_name, im2_name;
im1_name = av[1];
im2_name = av[2];
Mat im1 = imread(im1_name, CV_LOAD_IMAGE_GRAYSCALE);
Mat im2 = imread(im2_name, CV_LOAD_IMAGE_GRAYSCALE);

232
samples/cpp/calibration.cpp
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@@ -9,59 +9,69 @@
using namespace cv;
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"
" \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"
" 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"
" \n"
"<?xml version=\"1.0\"?>\n"
"<opencv_storage>\n"
"<images>\n"
"view000.png\n"
"view001.png\n"
"<!-- view002.png -->\n"
"view003.png\n"
"view010.png\n"
"one_extra_view.jpg\n"
"</images>\n"
"</opencv_storage>\n";
const char* liveCaptureHelp =
"When the live video from camera is used as input, the following hot-keys may be used:\n"
" <ESC>, 'q' - quit the program\n"
" 'g' - start capturing images\n"
" 'u' - switch undistortion on/off\n";
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"
" # [input_data] string for the video file name\n"
" [-su] # show undistorted images after calibration\n"
" [-input_data]=<data file> # input data, one of the following:\n"
" [input_data] # input data, one of the following:\n"
" # - text file with a list of the images of the board\n"
" # the text file can be generated with imagelist_creator\n"
" # - name of video file with a video of the board\n"
" [-cameraId]=<camera index># if input_data not specified, a live view from the camera is used\n"
" \nExample command line for calibration from a live feed:\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 -input_data=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"
" \n"
"<?xml version=\"1.0\"?>\n"
"<opencv_storage>\n"
"<images>\n"
"view000.png\n"
"view001.png\n"
"<!-- view002.png -->\n"
"view003.png\n"
"view010.png\n"
"one_extra_view.jpg\n"
"</images>\n"
"</opencv_storage>\n"
"\nWhen the live video from camera is used as input, the following hot-keys may be used:\n"
" <ESC>, 'q' - quit the program\n"
" 'g' - start capturing images\n"
" 'u' - switch undistortion on/off\n");
" # if input_data not specified, a live view from the camera is used\n"
"\n" );
printf("\n%s",usage);
printf( "\n%s", liveCaptureHelp );
}
enum { DETECTION = 0, CAPTURING = 1, CALIBRATED = 2 };
@@ -279,74 +289,126 @@ bool runAndSave(const string& outputFilename,
}
int main( int argc, const char** argv )
int main( int argc, char** argv )
{
help();
CommandLineParser parser(argc, argv);
Size boardSize, imageSize;
boardSize.width = parser.get<int>("w");
boardSize.height = parser.get<int>("h");
float squareSize = parser.get<float>("s", 1.f);
float aspectRatio = parser.get<float>("a", 1.f);
float squareSize = 1.f, aspectRatio = 1.f;
Mat cameraMatrix, distCoeffs;
string outputFilename = parser.get<string>("o","out_camera_data.yml");
string inputFilename = parser.get<string>("input_data");
int nframes = parser.get<int>("n", 10);
bool writeExtrinsics = parser.get<bool>("oe");
bool writePoints = parser.get<bool>("op");
bool flipVertical = parser.get<bool>("v");
bool showUndistorted = parser.get<bool>("su");
bool videofile = parser.get<bool>("V");
unsigned int delay = parser.get<unsigned int>("d", 1000);
unsigned int cameraId = parser.get<unsigned int>("cameraId",0);
const char* outputFilename = "out_camera_data.yml";
const char* inputFilename = 0;
int i, nframes = 10;
bool writeExtrinsics = false, writePoints = false;
bool undistortImage = false;
int flags = 0;
VideoCapture capture;
bool flipVertical = false;
bool showUndistorted = false;
bool videofile = false;
int delay = 1000;
clock_t prevTimestamp = 0;
int mode = DETECTION;
int cameraId = 0;
vector<vector<Point2f> > imagePoints;
vector<string> imageList;
Pattern pattern = CHESSBOARD;
if( (boardSize.width < 1) || (boardSize.height < 1))
if( argc < 2 )
{
help();
return fprintf( stderr, "Invalid board width or height. It must be more than zero\n" ), -1;
return 0;
}
if(parser.get<string>("pt")=="circles")
pattern = CIRCLES_GRID;
else if(parser.get<string>("pt")=="acircles")
pattern = ASYMMETRIC_CIRCLES_GRID;
if(squareSize <= 0)
for( i = 1; i < argc; i++ )
{
help();
return fprintf( stderr, "Invalid board square width. It must be more than zero.\n" ), -1;
}
if(nframes < 4)
{
help();
return printf("Invalid number of images. It must be more than 3\n" ), -1;
}
if(aspectRatio <= 0)
{
help();
return printf("Invalid aspect ratio. It must be more than zero\n" ), -1;
}
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 |= CV_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 |= CV_CALIB_ZERO_TANGENT_DIST;
}
else if( strcmp( s, "-p" ) == 0 )
{
flags |= CV_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;
}
else
flags |= CV_CALIB_FIX_ASPECT_RATIO;
if(!delay)
{
help();
return printf("Invalid delay. It must be more than zero.\n" ), -1;
return fprintf( stderr, "Unknown option %s", s ), -1;
}
if(parser.get<bool>("zt"))
flags |= CV_CALIB_ZERO_TANGENT_DIST;
if(parser.get<bool>("p"))
flags |= CV_CALIB_FIX_PRINCIPAL_POINT;
if( !inputFilename.empty() )
if( inputFilename )
{
if( !videofile && readStringList(inputFilename, imageList) )
mode = CAPTURING;
@@ -362,9 +424,11 @@ int main( int argc, const char** argv )
if( !imageList.empty() )
nframes = (int)imageList.size();
if( capture.isOpened() )
printf( "%s", liveCaptureHelp );
namedWindow( "Image View", 1 );
int i;
for(i = 0;;i++)
{
Mat view, viewGray;

43
samples/cpp/camshiftdemo.cpp
View File

@@ -1,9 +1,8 @@
#include "opencv2/core/core.hpp"
#include "opencv2/video/tracking.hpp"
#include "opencv2/imgproc/imgproc.hpp"
#include "opencv2/highgui/highgui.hpp"
#include <stdio.h>
#include <iostream>
#include <ctype.h>
using namespace cv;
@@ -11,17 +10,19 @@ using namespace std;
void help()
{
printf("\nThis is a demo that shows mean-shift based tracking\n"
"You select a color objects such as your face and it tracks it.\n"
"This reads from video camera (0 by default, or the camera number the user enters\n"
"Usage:\n"
"./camshiftdemo [--cameraIndex]=<camera number, zero as default>\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"
"To initialize tracking, select the object with mouse\n");
cout << "\nThis is a demo that shows mean-shift based tracking\n"
<< "You select a color objects such as your face and it tracks it.\n"
<< "This reads from video camera (0 by default, or the camera number the user enters\n"
<< "Call:\n"
<< "\n./camshiftdemo [camera number]"
<< "\n" << endl;
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"
"To initialize tracking, select the object with mouse\n" << endl;
}
Mat image;
@@ -63,13 +64,8 @@ void onMouse( int event, int x, int y, int, void* )
int main( int argc, const char** argv )
int main( int argc, char** argv )
{
help();
CommandLineParser parser(argc, argv);
unsigned int cameraInd = parser.get<unsigned int>("cameraIndex", 0);
VideoCapture cap;
Rect trackWindow;
RotatedRect trackBox;
@@ -77,15 +73,20 @@ int main( int argc, const char** argv )
float hranges[] = {0,180};
const float* phranges = hranges;
cap.open(cameraInd);
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]);
if( !cap.isOpened() )
{
help();
printf("***Could not initialize capturing...***\n");
cout << "***Could not initialize capturing...***\n";
return 0;
}
help();
namedWindow( "Histogram", 1 );
namedWindow( "CamShift Demo", 1 );
setMouseCallback( "CamShift Demo", onMouse, 0 );

37
samples/cpp/chamfer.cpp
View File

@@ -2,34 +2,33 @@
#include "opencv2/highgui/highgui.hpp"
#include "opencv2/contrib/contrib.hpp"
#include <stdio.h>
#include <iostream>
using namespace cv;
using namespace std;
void help()
{
printf("\nThis program demonstrates Chamfer matching -- computing a distance between an \n"
"edge template and a query edge image.\n"
"Usage:\n"
"./chamfer [<image edge map, logo_in_clutter.png as default>\n"
"<template edge map, logo.png as default>]\n"
"Example: \n"
" ./chamfer logo_in_clutter.png logo.png\n");
cout <<
"\nThis program demonstrates Chamfer matching -- computing a distance between an \n"
"edge template and a query edge image.\n"
"Call:\n"
"./chamfer [<image edge map> <template edge map>]\n"
"By default\n"
"the inputs are ./chamfer logo_in_clutter.png logo.png\n"<< endl;
}
int main( int argc, const char** argv )
int main( int argc, char** argv )
{
help();
CommandLineParser parser(argc, argv);
string image = parser.get<string>("0","logo_in_clutter.png");
string tempLate = parser.get<string>("1","logo.png");
Mat img = imread(image,0);
if( argc != 1 && argc != 3 )
{
help();
return 0;
}
Mat img = imread(argc == 3 ? argv[1] : "logo_in_clutter.png", 0);
Mat cimg;
cvtColor(img, cimg, CV_GRAY2BGR);
Mat tpl = imread(tempLate,0);
Mat tpl = imread(argc == 3 ? argv[2] : "logo.png", 0);
// if the image and the template are not edge maps but normal grayscale images,
// you might want to uncomment the lines below to produce the maps. You can also
// run Sobel instead of Canny.
@@ -42,7 +41,7 @@ int main( int argc, const char** argv )
int best = chamerMatching( img, tpl, results, costs );
if( best < 0 )
{
printf("not found;\n");
cout << "not found;\n";
return 0;
}