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update help corresponding single format and update some samples through using CommandLineParser class

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This commit is contained in:
Kirill Kornyakov
2011-05-29 10:01:01 +00:00
parent 2f3b75c841
commit 534ac83b8d
10 changed files with 73 additions and 63 deletions
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38
samples/c/find_obj_calonder.cpp
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@@ -11,14 +11,17 @@ using namespace cv;
void help()
{
cout << "This program shows the use of the Calonder point descriptor classifier"
"SURF is used to detect interest points, Calonder is used to describe/match these points\n"
"Format:" << endl <<
" classifier_file(to write) test_image file_with_train_images_filenames(txt)" <<
" or" << endl <<
" classifier_file(to read) test_image"
"Using OpenCV version %s\n" << CV_VERSION << "\n"
<< endl;
printf("\n This program shows the use of the Calonder point descriptor classifier \n"
"SURF is used to detect interest points, Calonder is used to describe/match these points \n"
"Usage: \n"
"./find_obj_calonder --classifier_file=<classifier file, there is no default classifier file. You should create it at first and when you can use it for test> \n"
" --test_image=<image file for test, lena.jpg as default> \n"
" [--train_container]=<txt file with train images filenames> \n"
"Example: \n"
" --classifier_file=test_classifier --test_image=lena.jpg --train_container=one_way_train_images.txt \n"
" the test_classifier is created here using --train_container and tested witn --test_image at the end \n"
" --classifier_file=test_classifier --test_image=lena.jpg \n"
" the test classifier is tested here using lena.jpg \n");
}
/*
* Generates random perspective transform of image
@@ -144,18 +147,27 @@ void testCalonderClassifier( const string& classifierFilename, const string& img
waitKey();
}
int main( int argc, char **argv )
int main( int argc, const char **argv )
{
if( argc != 4 && argc != 3 )
help();
CommandLineParser parser(argc, argv);
string classifierFileName = parser.get<string>("classifier_file");
string testImageFileName = parser.get<string>("test_image", "lena.jpg");
string trainContainerFileName = parser.get<string>("train_container");
if( classifierFileName.empty())
{
printf("\n Can't find classifier file, please select file for --classifier_file parameter \n");
help();
return -1;
}
if( argc == 4 )
trainCalonderClassifier( argv[1], argv[3] );
if( !trainContainerFileName.empty())
trainCalonderClassifier( classifierFileName.c_str(), trainContainerFileName.c_str() );
testCalonderClassifier( argv[1], argv[2] );
testCalonderClassifier( classifierFileName.c_str(), testImageFileName.c_str() );
return 0;
}