Merge pull request #434 from mshabunin:ios-framework

modules/dnn/3rdparty/protobuf/CMakeLists.txt

@@ -100,6 +100,7 @@ if(MSVC)
   ocv_warnings_disable(CMAKE_CXX_FLAGS /wd4456) # VS 2015
 else()
   ocv_warnings_disable(CMAKE_CXX_FLAGS -Wno-deprecated -Wmissing-prototypes -Wmissing-declarations -Wshadow -Wunused-parameter -Wunused-local-typedefs -Wsign-compare -Wsign-promo -Wundef)
+  ocv_warnings_disable(CMAKE_CXX_FLAGS -Wtautological-undefined-compare)
 endif()
 
 # Easier to support different versions of protobufs

modules/dnn/CMakeLists.txt

@@ -1,4 +1,9 @@
 cmake_minimum_required(VERSION 2.8)
+
+if(IOS OR WINRT)
+  ocv_module_disable(dnn)
+endif()
+
 set(the_description "Deep neural network module. It allows to load models from different frameworks and to make forward pass")
 set(OPENCV_MODULE_IS_PART_OF_WORLD OFF)
 

modules/dpm/src/dpm_model.hpp

@@ -94,11 +94,6 @@ class Model
         // map: pFind[component][part] => part filter index
         std::vector< std::vector<int> > pFind;
 
-    private:
-        // number of part filters and deformation model
-        int numPartFilters;
-        int numDefParams;
-
     public:
         Model () {}
         virtual ~Model () {}

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

@@ -280,7 +280,7 @@ private:
     // For a W by H gradient magnitude map, find a W-7 by H-7 CV_32F matching score map
     Mat matchTemplate( const Mat &mag1u );
 
-    float dot( const int64_t tig1, const int64_t tig2, const int64_t tig4, const int64_t tig8 );
+    float dot( int64_t tig1, int64_t tig2, int64_t tig4, int64_t tig8 );
     void reconstruct( Mat &w );// For illustration purpose
 
   private:

modules/saliency/src/BING/FilterTIG.cpp

@@ -47,24 +47,26 @@ namespace cv
 namespace saliency
 {
 
-float ObjectnessBING::FilterTIG::dot( const int64_t tig1, const int64_t tig2, const int64_t tig4, const int64_t tig8 )
+struct TIGbits
 {
-  int64_t bcT1 = (int64_t) POPCNT64( tig1 );
+  TIGbits() : bc0(0), bc1(0) {}
-  int64_t bcT2 = (int64_t) POPCNT64( tig2 );
+  inline void accumulate(int64_t tig, int64_t tigMask0, int64_t tigMask1, uchar shift)
-  int64_t bcT4 = (int64_t) POPCNT64( tig4 );
+  {
-  int64_t bcT8 = (int64_t) POPCNT64( tig8 );
+    bc0 += ((POPCNT64(tigMask0 & tig) << 1) - POPCNT64(tig)) << shift;
-
+    bc1 += ((POPCNT64(tigMask1 & tig) << 1) - POPCNT64(tig)) << shift;
-  int64_t bc01 = (int64_t) ( POPCNT64(_bTIGs[0] & tig1) << 1 ) - bcT1;
+  }
-  int64_t bc02 = (int64_t) ( ( POPCNT64(_bTIGs[0] & tig2) << 1 ) - bcT2 ) << 1;
+  int64_t bc0;
-  int64_t bc04 = (int64_t) ( ( POPCNT64(_bTIGs[0] & tig4) << 1 ) - bcT4 ) << 2;
+  int64_t bc1;
-  int64_t bc08 = (int64_t) ( ( POPCNT64(_bTIGs[0] & tig8) << 1 ) - bcT8 ) << 3;
+};
-
-  int64_t bc11 = (int64_t) ( POPCNT64(_bTIGs[1] & tig1) << 1 ) - bcT1;
-  int64_t bc12 = (int64_t) ( ( POPCNT64(_bTIGs[1] & tig2) << 1 ) - bcT2 ) << 1;
-  int64_t bc14 = (int64_t) ( ( POPCNT64(_bTIGs[1] & tig4) << 1 ) - bcT4 ) << 2;
-  int64_t bc18 = (int64_t) ( ( POPCNT64(_bTIGs[1] & tig8) << 1 ) - bcT8 ) << 3;
 
-  return _coeffs1[0] * ( bc01 + bc02 + bc04 + bc08 ) + _coeffs1[1] * ( bc11 + bc12 + bc14 + bc18 );
+float ObjectnessBING::FilterTIG::dot( int64_t tig1, int64_t tig2, int64_t tig4, int64_t tig8 )
+{
+  TIGbits x;
+  x.accumulate(tig1, _bTIGs[0], _bTIGs[1], 0);
+  x.accumulate(tig2, _bTIGs[0], _bTIGs[1], 1);
+  x.accumulate(tig4, _bTIGs[0], _bTIGs[1], 2);
+  x.accumulate(tig8, _bTIGs[0], _bTIGs[1], 3);
+  return _coeffs1[0] * x.bc0 + _coeffs1[1] * x.bc1;
 }
 
 void ObjectnessBING::FilterTIG::update( Mat &w1f )

modules/stereo/src/matching.hpp

@@ -151,12 +151,12 @@ namespace cv
             private:
                 int *left, *right;
                 short *c;
-                int v,kernelSize, width, height;
+                int v,kernelSize, width;
                 int MASK;
                 int *hammLut;
             public :
                 hammingDistance(const Mat &leftImage, const Mat &rightImage, short *cost, int maxDisp, int kerSize, int *hammingLUT):
-                    left((int *)leftImage.data), right((int *)rightImage.data), c(cost), v(maxDisp),kernelSize(kerSize),width(leftImage.cols), height(leftImage.rows), MASK(65535), hammLut(hammingLUT){}
+                    left((int *)leftImage.data), right((int *)rightImage.data), c(cost), v(maxDisp),kernelSize(kerSize),width(leftImage.cols), MASK(65535), hammLut(hammingLUT){}
                 void operator()(const cv::Range &r) const {
                     for (int i = r.start; i <= r.end ; i++)
                     {

modules/xobjdetect/CMakeLists.txt

@@ -1,3 +1,5 @@
 set(the_description "Object detection algorithms")
 ocv_define_module(xobjdetect opencv_core opencv_imgproc opencv_highgui opencv_objdetect WRAP python)
+if (NOT IOS)
     add_subdirectory(tools)
+endif()