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The samples were updated through CommandLineParser class

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This commit is contained in:
Kirill Kornyakov 2011-06-03 16:41:41 +00:00
parent 2c1e913b2d
commit 07a9d3558e
2 changed files with 53 additions and 39 deletions
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66
samples/cpp/bagofwords_classification.cpp
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@ -1,3 +1,4 @@
#include "opencv2/core/core.hpp"
#include "opencv2/highgui/highgui.hpp"
#include "opencv2/imgproc/imgproc.hpp"
#include "opencv2/features2d/features2d.hpp"
@ -27,29 +28,26 @@ const string bowImageDescriptorsDir = "/bowImageDescriptors";
const string svmsDir = "/svms";
const string plotsDir = "/plots";
void help(char** argv)
void help()
{
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";
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");
}
@ -2507,16 +2505,24 @@ void computeGnuPlotOutput( const string& resPath, const string& objClassName, Vo
int main(int argc, char** argv)
int main(int argc, const char** argv)
{
if( argc != 3 && argc != 6 )
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())
{
help(argv);
help();
printf("Cannot find --voc_path=%s or --result_directory=%s\n", vocPath.c_str(), resPath.c_str());
return -1;
}
const string vocPath = argv[1], resPath = argv[2];
// Read or set default parameters
string vocName;
DDMParams ddmParams;
@ -2534,12 +2540,12 @@ int main(int argc, char** argv)
else
{
vocName = getVocName(vocPath);
if( argc!= 6 )
if( featureDetectName.empty() || descExtName.empty() || descMatchName.empty())
{
cout << "Feature detector, descriptor extractor, descriptor matcher must be set" << endl;
return -1;
}
ddmParams = DDMParams( argv[3], argv[4], argv[5] ); // from command line
ddmParams = DDMParams( featureDetectName.c_str(), descExtName.c_str(), descMatchName.c_str()); // from command line
// vocabTrainParams and svmTrainParamsExt is set by defaults
paramsFS.open( resPath + "/" + paramsFile, FileStorage::WRITE );
if( paramsFS.isOpened() )

20
samples/cpp/bgfg_segm.cpp
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@ -1,32 +1,40 @@
#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"
"Call:\n"
"./ bgfg_segm [file name -- if no name, read from camera]\n\n");
"Usage: \n"
" ./bgfg_segm [--file_name]=<input file, camera as defautl>\n\n");
}
//this is a sample for foreground detection functions
int main(int argc, char** argv)
int main(int argc, const char** argv)
{
help();
CommandLineParser parser(argc, argv);
string fileName = parser.get<string>("file_name", "0");
VideoCapture cap;
bool update_bg_model = true;
if( argc < 2 )
if(fileName == "0" )
cap.open(0);
else
cap.open(argv[1]);
help();
cap.open(fileName.c_str());
if( !cap.isOpened() )
{
help();
printf("can not open camera or video file\n");
return -1;
}