BING objectness porting finished

modules/saliency/include/opencv2/saliency/saliencySpecializedClasses.hpp

@@ -210,6 +210,7 @@ class CV_EXPORTS_W ObjectnessBING : public Objectness
 
      static inline int bgrMaxDist(const Vec3b &u, const Vec3b &v) {int b = abs(u[0]-v[0]), g = abs(u[1]-v[1]), r = abs(u[2]-v[2]); b = max(b,g);  return max(b,r);}
      static inline int vecDist3b(const Vec3b &u, const Vec3b &v) {return abs(u[0]-v[0]) + abs(u[1]-v[1]) + abs(u[2]-v[2]);}
+     //inline string strVec4i(const Vec4i &vv) const {return std::format("%d, %d, %d, %d", vv[0], vv[1], vv[2], vv[3]);}
 
      //Non-maximal suppress
      static void nonMaxSup(CMat &matchCost1f, ValStructVec<float, Point> &matchCost, int NSS = 1, int maxPoint = 50, bool fast = true);

modules/saliency/samples/computeSaliency.cpp

@@ -94,6 +94,9 @@ int main( int argc, char** argv )
 
       std::cout << "-----------------OBJECTNESS-----------" << std::endl;
       std::cout << "OBJ BB VECTOR SIZE" << saliencyMap.size() << std::endl;
+      std::cout << " " << saliencyMap[0] << std::endl;
+      std::cout << " " << saliencyMap[1] << std::endl;
+      std::cout << " " << saliencyMap[2] << std::endl;
     }
 
   }

modules/saliency/src/objectnessBING.cpp

@@ -75,10 +75,10 @@ ObjectnessBING::~ObjectnessBING()
 void ObjectnessBING::setColorSpace( int clr )
 {
   _Clr = clr;
-  _modelName = "/home/puja/src/opencv_contrib/modules/saliency/src/ObjectnessTrainedModel"
+  _modelName = "/home/puja/src/opencv_contrib/modules/saliency/src/ObjectnessTrainedModel/"
       + string( format( "ObjNessB%gW%d%s", _base, _W, _clrName[_Clr] ).c_str() );
   //  _trainDirSI = _voc.localDir + string(format("TrainS1B%gW%d%s/", _base, _W, _clrName[_Clr]).c_str());
-  //  _bbResDir = _voc.resDir + string(format("BBoxesB%gW%d%s/", _base, _W, _clrName[_Clr]).c_str());
+  _bbResDir = "/home/puja/src/opencv_contrib/modules/saliency/src/" + string(format("BBoxesB%gW%d%s/", _base, _W, _clrName[_Clr]).c_str());
 }
 
 int ObjectnessBING::loadTrainedModel( string modelName )  // Return -1, 0, or 1 if partial, none, or all loaded
@@ -387,6 +387,18 @@ void ObjectnessBING::getObjBndBoxesForSingleImage( Mat img, ValStructVec<float,
     tm.Stop();
     printf( "Average time for predicting an image (%s) is %gs\n", _clrName[_Clr], tm.TimeInSeconds() );
   }
+
+  /*CmFile::MkDir(_bbResDir);
+  CStr fName = _bbResDir + "bb";
+  //vector<Vec4i> sortedBB = finalBoxes.getSortedStructVal();
+  FILE *f = fopen( _S( fName + ".txt" ), "w" );
+  fprintf( f, "%d\n", finalBoxes.size() );
+  for ( size_t k = 0; k < finalBoxes.size(); k++ ){
+    //fprintf(f, "%g, %s\n", finalBoxes(k), _S(strVec4i(finalBoxes[k])));
+    //fprintf(f, "%g, %s\n", finalBoxes(k), finalBoxes(k)[0],finalBoxes(k)[1],finalBoxes(k)[2],finalBoxes(k)[3]);
+  }
+
+    fclose( f ); */
 }
 
 struct MatchPathSeparator
@@ -460,21 +472,15 @@ bool ObjectnessBING::computeSaliencyImpl( const InputArray image, OutputArray ob
   // List of rectangles returned by objectess function in ascending order.
   // At the top there are the rectangles with lower values of ​​objectness, ie more
   // likely to have objects in them.
-  //vector<Vec4i> >
+  //vector<Vec4i>
 
-  //objBoundingBox = finalBoxes.getSortedStructVal();
- /* vector<Vec4i> tmp=finalBoxes.getSortedStructVal();
-  objBoundingBox.create(tmp.size(), 1, CV_8U);
-  Mat obj= objBoundingBox.getMat();
-  obj=tmp;*/
+  vector<Vec4i> sortedBB = finalBoxes.getSortedStructVal();
 
+  objBoundingBox.create( 1, sortedBB.size(), CV_MAKETYPE( CV_32S, CV_MAT_CN(objBoundingBox.type()) ) );
   Mat obj = objBoundingBox.getMat();
-  obj = Mat(finalBoxes.getSortedStructVal());
-
-/*  Mat obj2 = objBoundingBox.getMatRef();
-  obj2 = Mat(finalBoxes.getSortedStructVal());*/
-
 
+  for ( uint i = 0; i < sortedBB.size(); i++ )
+    obj.at<Vec4i>( i ) = sortedBB[i];
 
   // List of the rectangles' objectness value
   unsigned long int valIdxesSize = finalBoxes.getvalIdxes().size();