#include "opencv2/optflow.hpp" #include /* This tool trains the forest for the Global Patch Collider and stores output to the "forest.yml.gz". */ using namespace cv; const String keys = "{help h ? | | print this message}" "{max-tree-depth | | Maximum tree depth to stop partitioning}" "{min-samples | | Minimum number of samples in the node to stop partitioning}" "{descriptor-type|0 | Descriptor type. Set to 0 for quality, 1 for speed.}" "{print-progress | | Set to 0 to enable quiet mode, set to 1 to print progress}" "{f forest |forest.yml.gz| Path where to store resulting forest. It is recommended to use .yml.gz extension.}"; const int nTrees = 5; static void fillInputImagesFromCommandLine( std::vector< String > &img1, std::vector< String > &img2, std::vector< String > >, int argc, const char **argv ) { for ( int i = 1, j = 0; i < argc; ++i ) { if ( argv[i][0] == '-' ) continue; if ( j % 3 == 0 ) img1.push_back( argv[i] ); if ( j % 3 == 1 ) img2.push_back( argv[i] ); if ( j % 3 == 2 ) gt.push_back( argv[i] ); ++j; } } int main( int argc, const char **argv ) { CommandLineParser parser( argc, argv, keys ); parser.about( "Global Patch Collider training tool" ); std::vector< String > img1, img2, gt; optflow::GPCTrainingParams params; if ( parser.has( "max-tree-depth" ) ) params.maxTreeDepth = parser.get< unsigned >( "max-tree-depth" ); if ( parser.has( "min-samples" ) ) params.minNumberOfSamples = parser.get< unsigned >( "min-samples" ); if ( parser.has( "descriptor-type" ) ) params.descriptorType = parser.get< int >( "descriptor-type" ); if ( parser.has( "print-progress" ) ) params.printProgress = parser.get< unsigned >( "print-progress" ) != 0; fillInputImagesFromCommandLine( img1, img2, gt, argc, argv ); if ( parser.has( "help" ) || img1.size() != img2.size() || img1.size() != gt.size() || img1.size() == 0 ) { std::cerr << "\nUsage: " << argv[0] << " [params] ImageFrom1 ImageTo1 GroundTruth1 ... ImageFromN ImageToN GroundTruthN\n" << std::endl; parser.printMessage(); return 1; } Ptr< optflow::GPCForest< nTrees > > forest = optflow::GPCForest< nTrees >::create(); forest->train( img1, img2, gt, params ); forest->save( parser.get< String >( "forest" ) ); return 0; }