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Feature #3957

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This commit is contained in:
ValeryTyumen
2015-08-01 20:24:23 +05:00
committed by Maksim Shabunin
parent 5cdf0e3e89
commit 297808e6b9
57 changed files with 950 additions and 1052 deletions
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71
samples/cpp/letter_recog.cpp
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@@ -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 ) :