windows warning wip

Author: jaco

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

@@ -270,7 +270,7 @@ class CV_EXPORTS_W MotionSaliencyBinWangApr2014 : public MotionSaliency
             // long-term template, regardless of any subsequent background changes. A relatively large (eg gamma=3) will
             //restrain the generation of ghosts.
 
-  int Ainc;// Activity Incrementation;
+  uchar Ainc;// Activity Incrementation;
   int Bmax;// Upper-bound value for pixel activity
   int Bth;// Max activity threshold
   int Binc, Bdec;// Threshold for pixel-level decision threshold (epslon) adaptation

modules/saliency/perf/perf_motionSaliencyBinWangApr2014.cpp

@@ -65,7 +65,7 @@ PERF_TEST_P(sal, motionSaliencyBinWangApr2014, testing::Values(TESTSET_NAMES))
   int startFrame=0;
   Mat frame;
   Mat saliencyMap;
-  int videoSize=0;
+  double videoSize=0;
 
   Ptr<saliency::Saliency> saliencyAlgorithm = saliency::Saliency::create( "BinWangApr2014" );
 

modules/saliency/perf/perf_objectnessBING.cpp

@@ -58,7 +58,7 @@ typedef perf::TestBaseWithParam<std::string> sal;
 
 void getMatOfRects( const vector<Vec4i>& saliencyMap, Mat& bbs_mat )
 {
-  for ( size_t b = 0; b < saliencyMap.size(); b++ )
+  for ( int b = 0; b < (int)saliencyMap.size(); b++ )
   {
     bbs_mat.at<int>( b, 0 ) = saliencyMap[b].val[0];
     bbs_mat.at<int>( b, 1 ) = saliencyMap[b].val[1];
@@ -101,7 +101,7 @@ PERF_TEST_P(sal, objectnessBING, testing::Values(BING_IMAGES))
   }  //end CYCLE
 
   //save the bounding boxes in a Mat
-   Mat bbs_mat( saliencyMap.size(), 4, CV_32F );
+   Mat bbs_mat( (int)saliencyMap.size(), 4, CV_32F );
    getMatOfRects( saliencyMap, bbs_mat );
 
    SANITY_CHECK( bbs_mat);

modules/saliency/src/motionSaliencyBinWangApr2014.cpp

@@ -327,7 +327,7 @@ bool MotionSaliencyBinWangApr2014::templateOrdering()
 
   Mat dstMask, tempMat, dstMask2, dstMask3;
   Mat convertMat1, convertMat2;
-  int backGroundModelSize = backgroundModel.size();
+  int backGroundModelSize = (int)backgroundModel.size();
 
   std::vector<std::vector<Mat> > channelSplit( backGroundModelSize );
   for ( int i = 0; i < backGroundModelSize; i++ )