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Merge pull request #6880 from berak:fix_opencv_visualization

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This commit is contained in:
Alexander Alekhin 2016-07-13 11:51:29 +00:00
commit a9353ad2ec
1 changed files with 26 additions and 16 deletions
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42
apps/visualisation/opencv_visualisation.cpp
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@ -47,7 +47,7 @@ Software for visualising cascade classifier models trained by OpenCV and to get
understanding of the used features.
USAGE:
./visualise_models -model <model.xml> -image <ref.png> -data <output folder>
./opencv_visualisation --model=<model.xml> --image=<ref.png> --data=<video output folder>
LIMITS
- Use an absolute path for the output folder to ensure the tool works
@ -81,20 +81,23 @@ struct rect_data{
int main( int argc, const char** argv )
{
CommandLineParser parser(argc, argv,
"{ help h usage ? | | show this message }"
"{ image i | | (required) path to reference image }"
"{ model m | | (required) path to cascade xml file }"
"{ data d | | (optional) path to video output folder }"
);
// Read in the input arguments
string model = "";
string output_folder = "";
string image_ref = "";
for(int i = 1; i < argc; ++i )
{
if( !strcmp( argv[i], "-model" ) )
{
model = argv[++i];
}else if( !strcmp( argv[i], "-image" ) ){
image_ref = argv[++i];
}else if( !strcmp( argv[i], "-data" ) ){
output_folder = argv[++i];
}
if (parser.has("help")){
parser.printMessage();
return 0;
}
string model(parser.get<string>("model"));
string output_folder(parser.get<string>("data"));
string image_ref = (parser.get<string>("image"));
if (model.empty() || image_ref.empty()){
parser.printMessage();
return -1;
}
// Value for timing
@ -106,8 +109,11 @@ int main( int argc, const char** argv )
// Open the XML model
FileStorage fs;
fs.open(model, FileStorage::READ);
bool model_ok = fs.open(model, FileStorage::READ);
if (!model_ok){
cerr << "the cascade file '" << model << "' could not be loaded." << endl;
return -1;
}
// Get a the required information
// First decide which feature type we are using
FileNode cascade = fs["cascade"];
@ -129,6 +135,10 @@ int main( int argc, const char** argv )
int resize_factor = 10;
int resize_storage_factor = 10;
Mat reference_image = imread(image_ref, IMREAD_GRAYSCALE );
if (reference_image.empty()){
cerr << "the reference image '" << image_ref << "'' could not be loaded." << endl;
return -1;
}
Mat visualization;
resize(reference_image, visualization, Size(reference_image.cols * resize_factor, reference_image.rows * resize_factor));