Added training part of the Global Patch Collider

modules/optflow/samples/gpc_train.cpp

@@ -0,0 +1,35 @@
+#include "opencv2/optflow.hpp"
+#include <iostream>
+
+const int nTrees = 5;
+
+int main( int argc, const char **argv )
+{
+  int nSequences = argc - 1;
+
+  if ( nSequences <= 0 || nSequences % 3 != 0 )
+  {
+    std::cerr << "Usage: " << argv[0] << " ImageFrom1 ImageTo1 GroundTruth1 ... ImageFromN ImageToN GroundTruthN" << std::endl;
+    return 1;
+  }
+
+  nSequences /= 3;
+  std::vector<cv::String> img1, img2, gt;
+
+  for ( int i = 0; i < nSequences; ++i )
+  {
+    img1.push_back( argv[1 + i * 3] );
+    img2.push_back( argv[1 + i * 3 + 1] );
+    gt.push_back( argv[1 + i * 3 + 2] );
+  }
+
+  cv::Ptr<cv::optflow::GPCTrainingSamples> ts = cv::optflow::GPCTrainingSamples::create( img1, img2, gt );
+
+  std::cout << "Got " << ts->size() << " samples." << std::endl;
+
+  cv::Ptr< cv::optflow::GPCForest<nTrees> > forest = cv::optflow::GPCForest<nTrees>::create();
+  forest->train( *ts );
+  forest->save( "forest.dump" );
+
+  return 0;
+}