fixed 2 build problems on MacOSX (highgui with ffmpeg, opencv_world); added macro...

diff --git a/modules/core/include/opencv2/core/internal.hpp b/modules/core/include/opencv2/core/internal.hpp
index 6e1547d..d0b3cd4 100644 (file)
--- a/modules/core/include/opencv2/core/internal.hpp
+++ b/modules/core/include/opencv2/core/internal.hpp
@@ -233,6 +233,34 @@ CV_INLINE IppiSize ippiSize(int width, int height)
         
     }
 #endif
+
+    #define CV_INIT_ALGORITHM(classname, algname, memberinit) \
+    static Algorithm* create##classname() \
+    { \
+        return new classname; \
+    } \
+    \
+    static AlgorithmInfo& classname##_info() \
+    { \
+        static AlgorithmInfo classname##_info_var(algname, create##classname); \
+        return classname##_info_var; \
+    } \
+    \
+    static AlgorithmInfo& classname##_info_auto = classname##_info(); \
+    \
+    AlgorithmInfo* classname::info() const \
+    { \
+        static volatile bool initialized = false; \
+        \
+        if( !initialized ) \
+        { \
+            initialized = true; \
+            classname obj; \
+            memberinit; \
+        } \
+        return &classname##_info(); \
+    }
+
 #endif
 
 /* maximal size of vector to run matrix operations on it inline (i.e. w/o ipp calls) */

diff --git a/modules/features2d/src/features2d_init.cpp b/modules/features2d/src/features2d_init.cpp
index 89d517f..3312d9e 100644 (file)
--- a/modules/features2d/src/features2d_init.cpp
+++ b/modules/features2d/src/features2d_init.cpp
@@ -51,208 +51,93 @@ namespace cv
    All the AlgorithmInfo-related stuff should be in the same file as initModule_features2d().
    Otherwise, linker may throw away some seemingly unused stuff.
 */
-    
-static Algorithm* createBRIEF() { return new BriefDescriptorExtractor; }
-static AlgorithmInfo& brief_info()
-{
-    static AlgorithmInfo brief_info_var("Feature2D.BRIEF", createBRIEF);
-    return brief_info_var;
-}
 
-static AlgorithmInfo& brief_info_auto = brief_info();
-
-AlgorithmInfo* BriefDescriptorExtractor::info() const
-{
-    static volatile bool initialized = false;
-    if( !initialized )
-    {
-        BriefDescriptorExtractor brief;
-        brief_info().addParam(brief, "bytes", brief.bytes_);
-        
-        initialized = true;
-    }
-    return &brief_info();
-}
+CV_INIT_ALGORITHM(BriefDescriptorExtractor, "Feature2D.BRIEF",
+                  obj.info()->addParam(obj, "bytes", obj.bytes_));
     
 ///////////////////////////////////////////////////////////////////////////////////////////////////////////
-    
-static Algorithm* createFAST() { return new FastFeatureDetector; }
-static AlgorithmInfo& fast_info()
-{
-    static AlgorithmInfo fast_info_var("Feature2D.FAST", createFAST);
-    return fast_info_var;
-}
 
-static AlgorithmInfo& fast_info_auto = fast_info();
-
-AlgorithmInfo* FastFeatureDetector::info() const
-{
-    static volatile bool initialized = false;
-    if( !initialized )
-    {
-        FastFeatureDetector obj;
-        fast_info().addParam(obj, "threshold", obj.threshold);
-        fast_info().addParam(obj, "nonmaxSuppression", obj.nonmaxSuppression);
-        
-        initialized = true;
-    }
-    return &fast_info();
-}
-    
+CV_INIT_ALGORITHM(FastFeatureDetector, "Feature2D.FAST",
+                  obj.info()->addParam(obj, "threshold", obj.threshold);
+                  obj.info()->addParam(obj, "nonmaxSuppression", obj.nonmaxSuppression));
 
 ///////////////////////////////////////////////////////////////////////////////////////////////////////////
-    
-static Algorithm* createStarDetector() { return new StarDetector; }
-static AlgorithmInfo& star_info()
-{
-    static AlgorithmInfo star_info_var("Feature2D.STAR", createStarDetector);
-    return star_info_var;
-}
 
-static AlgorithmInfo& star_info_auto = star_info();
-
-AlgorithmInfo* StarDetector::info() const
-{
-    static volatile bool initialized = false;
-    if( !initialized )
-    {
-        StarDetector obj;
-        star_info().addParam(obj, "maxSize", obj.maxSize);
-        star_info().addParam(obj, "responseThreshold", obj.responseThreshold);
-        star_info().addParam(obj, "lineThresholdProjected", obj.lineThresholdProjected);
-        star_info().addParam(obj, "lineThresholdBinarized", obj.lineThresholdBinarized);
-        star_info().addParam(obj, "suppressNonmaxSize", obj.suppressNonmaxSize);
-        
-        initialized = true;
-    }
-    return &star_info();
-}    
+CV_INIT_ALGORITHM(StarDetector, "Feature2D.STAR",
+                  obj.info()->addParam(obj, "maxSize", obj.maxSize);
+                  obj.info()->addParam(obj, "responseThreshold", obj.responseThreshold);
+                  obj.info()->addParam(obj, "lineThresholdProjected", obj.lineThresholdProjected);
+                  obj.info()->addParam(obj, "lineThresholdBinarized", obj.lineThresholdBinarized);
+                  obj.info()->addParam(obj, "suppressNonmaxSize", obj.suppressNonmaxSize));
     
 ///////////////////////////////////////////////////////////////////////////////////////////////////////////
-    
-static Algorithm* createMSER() { return new MSER; }
-static AlgorithmInfo& mser_info()
-{
-    static AlgorithmInfo mser_info_var("Feature2D.MSER", createMSER);
-    return mser_info_var;
-}
-
-static AlgorithmInfo& mser_info_auto = mser_info();
 
-AlgorithmInfo* MSER::info() const
-{
-    static volatile bool initialized = false;
-    if( !initialized )
-    {
-        MSER obj;
-        mser_info().addParam(obj, "delta", obj.delta);
-        mser_info().addParam(obj, "minArea", obj.minArea);
-        mser_info().addParam(obj, "maxArea", obj.maxArea);
-        mser_info().addParam(obj, "maxVariation", obj.maxVariation);
-        mser_info().addParam(obj, "minDiversity", obj.minDiversity);
-        mser_info().addParam(obj, "maxEvolution", obj.maxEvolution);
-        mser_info().addParam(obj, "areaThreshold", obj.areaThreshold);
-        mser_info().addParam(obj, "minMargin", obj.minMargin);
-        mser_info().addParam(obj, "edgeBlurSize", obj.edgeBlurSize);
-        
-        initialized = true;
-    }
-    return &mser_info();
-}
-    
+CV_INIT_ALGORITHM(MSER, "Feature2D.MSER",
+                  obj.info()->addParam(obj, "delta", obj.delta);
+                  obj.info()->addParam(obj, "minArea", obj.minArea);
+                  obj.info()->addParam(obj, "maxArea", obj.maxArea);
+                  obj.info()->addParam(obj, "maxVariation", obj.maxVariation);
+                  obj.info()->addParam(obj, "minDiversity", obj.minDiversity);
+                  obj.info()->addParam(obj, "maxEvolution", obj.maxEvolution);
+                  obj.info()->addParam(obj, "areaThreshold", obj.areaThreshold);
+                  obj.info()->addParam(obj, "minMargin", obj.minMargin);
+                  obj.info()->addParam(obj, "edgeBlurSize", obj.edgeBlurSize));    
     
 ///////////////////////////////////////////////////////////////////////////////////////////////////////////
 
-static Algorithm* createORB() { return new ORB; }
-static AlgorithmInfo& orb_info()
-{
-    static AlgorithmInfo orb_info_var("Feature2D.ORB", createORB);
-    return orb_info_var;
-}
-
-static AlgorithmInfo& orb_info_auto = orb_info();
+CV_INIT_ALGORITHM(ORB, "Feature2D.ORB",
+                  obj.info()->addParam(obj, "nFeatures", obj.nfeatures);
+                  obj.info()->addParam(obj, "scaleFactor", obj.scaleFactor);
+                  obj.info()->addParam(obj, "nLevels", obj.nlevels);
+                  obj.info()->addParam(obj, "firstLevel", obj.firstLevel);
+                  obj.info()->addParam(obj, "edgeThreshold", obj.edgeThreshold);
+                  obj.info()->addParam(obj, "patchSize", obj.patchSize);
+                  obj.info()->addParam(obj, "WTA_K", obj.WTA_K);
+                  obj.info()->addParam(obj, "scoreType", obj.scoreType));
 
-AlgorithmInfo* ORB::info() const
-{
-    static volatile bool initialized = false;
-    if( !initialized )
-    {
-        ORB obj;
-        orb_info().addParam(obj, "nFeatures", obj.nfeatures);
-        orb_info().addParam(obj, "scaleFactor", obj.scaleFactor);
-        orb_info().addParam(obj, "nLevels", obj.nlevels);
-        orb_info().addParam(obj, "firstLevel", obj.firstLevel);
-        orb_info().addParam(obj, "edgeThreshold", obj.edgeThreshold);
-        orb_info().addParam(obj, "patchSize", obj.patchSize);
-        orb_info().addParam(obj, "WTA_K", obj.WTA_K);
-        orb_info().addParam(obj, "scoreType", obj.scoreType);
-        
-        initialized = true;
-    }
-    return &orb_info();
-}
-
-static Algorithm* createGFTT() { return new GFTTDetector; }
-static Algorithm* createHarris()
-{
-    GFTTDetector* d = new GFTTDetector;
-    d->set("useHarris", true);
-    return d;
-}
-
-static AlgorithmInfo gftt_info("Feature2D.GFTT", createGFTT);
-static AlgorithmInfo harris_info("Feature2D.HARRIS", createHarris);
+///////////////////////////////////////////////////////////////////////////////////////////////////////////
     
-AlgorithmInfo* GFTTDetector::info() const
-{
-    static volatile bool initialized = false;
-    if( !initialized )
-    {
-        GFTTDetector obj;
-        gftt_info.addParam(obj, "nfeatures", obj.nfeatures);
-        gftt_info.addParam(obj, "qualityLevel", obj.qualityLevel);
-        gftt_info.addParam(obj, "minDistance", obj.minDistance);
-        gftt_info.addParam(obj, "useHarrisDetector", obj.useHarrisDetector);
-        gftt_info.addParam(obj, "k", obj.k);
-        
-        harris_info.addParam(obj, "nfeatures", obj.nfeatures);
-        harris_info.addParam(obj, "qualityLevel", obj.qualityLevel);
-        harris_info.addParam(obj, "minDistance", obj.minDistance);
-        harris_info.addParam(obj, "useHarrisDetector", obj.useHarrisDetector);
-        harris_info.addParam(obj, "k", obj.k);
-        
-        initialized = true;
-    }
-    return &gftt_info;
-}
+CV_INIT_ALGORITHM(GFTTDetector, "Feature2D.GFTT",
+                  obj.info()->addParam(obj, "nfeatures", obj.nfeatures);
+                  obj.info()->addParam(obj, "qualityLevel", obj.qualityLevel);
+                  obj.info()->addParam(obj, "minDistance", obj.minDistance);
+                  obj.info()->addParam(obj, "useHarrisDetector", obj.useHarrisDetector);
+                  obj.info()->addParam(obj, "k", obj.k));
 
-static Algorithm* createDense() { return new DenseFeatureDetector; }
-static AlgorithmInfo dense_info("Feature2D.Dense", createDense);
+///////////////////////////////////////////////////////////////////////////////////////////////////////////
     
-AlgorithmInfo* DenseFeatureDetector::info() const
+class CV_EXPORTS HarrisDetector : public GFTTDetector
 {
-    static volatile bool initialized = false;
-    if( !initialized )
-    {
-        DenseFeatureDetector obj;
-        dense_info.addParam(obj, "initFeatureScale", obj.initFeatureScale);
-        dense_info.addParam(obj, "featureScaleLevels", obj.featureScaleLevels);
-        dense_info.addParam(obj, "featureScaleMul", obj.featureScaleMul);
-        dense_info.addParam(obj, "initXyStep", obj.initXyStep);
-        dense_info.addParam(obj, "initImgBound", obj.initImgBound);
-        dense_info.addParam(obj, "varyXyStepWithScale", obj.varyXyStepWithScale);
-        dense_info.addParam(obj, "varyImgBoundWithScale", obj.varyImgBoundWithScale);
-        
-        initialized = true;
-    }
-    return &dense_info;
-}    
+public:
+    HarrisDetector( int maxCorners=1000, double qualityLevel=0.01, double minDistance=1,
+                    int blockSize=3, bool useHarrisDetector=true, double k=0.04 )
+    : GFTTDetector( maxCorners, qualityLevel, minDistance, blockSize, useHarrisDetector, k ) {}
+    AlgorithmInfo* info() const;
+};    
+
+CV_INIT_ALGORITHM(HarrisDetector, "Feature2D.HARRIS",
+                  obj.info()->addParam(obj, "nfeatures", obj.nfeatures);
+                  obj.info()->addParam(obj, "qualityLevel", obj.qualityLevel);
+                  obj.info()->addParam(obj, "minDistance", obj.minDistance);
+                  obj.info()->addParam(obj, "useHarrisDetector", obj.useHarrisDetector);
+                  obj.info()->addParam(obj, "k", obj.k));
+
+////////////////////////////////////////////////////////////////////////////////////////////////////////////    
+
+CV_INIT_ALGORITHM(DenseFeatureDetector, "Feature2D.Dense",
+                  obj.info()->addParam(obj, "initFeatureScale", obj.initFeatureScale);
+                  obj.info()->addParam(obj, "featureScaleLevels", obj.featureScaleLevels);
+                  obj.info()->addParam(obj, "featureScaleMul", obj.featureScaleMul);
+                  obj.info()->addParam(obj, "initXyStep", obj.initXyStep);
+                  obj.info()->addParam(obj, "initImgBound", obj.initImgBound);
+                  obj.info()->addParam(obj, "varyXyStepWithScale", obj.varyXyStepWithScale);
+                  obj.info()->addParam(obj, "varyImgBoundWithScale", obj.varyImgBoundWithScale));
 
 bool initModule_features2d(void)
 {
-    Ptr<Algorithm> brief = createBRIEF(), orb = createORB(),
-        star = createStarDetector(), fastd = createFAST(), mser = createMSER(),
-        dense = createDense(), gftt = createGFTT(), harris = createHarris();
+    Ptr<Algorithm> brief = createBriefDescriptorExtractor(), orb = createORB(),
+        star = createStarDetector(), fastd = createFastFeatureDetector(), mser = createMSER(),
+        dense = createDenseFeatureDetector(), gftt = createGFTTDetector(), harris = createHarrisDetector();
         
     return brief->info() != 0 && orb->info() != 0 && star->info() != 0 &&
         fastd->info() != 0 && mser->info() != 0 && dense->info() != 0 &&

diff --git a/modules/highgui/CMakeLists.txt b/modules/highgui/CMakeLists.txt
index 7180b78..e683096 100644 (file)
--- a/modules/highgui/CMakeLists.txt
+++ b/modules/highgui/CMakeLists.txt
@@ -148,7 +148,8 @@ endif(HAVE_XIMEA)
 if(HAVE_FFMPEG)
   if(UNIX AND BZIP2_LIBRARIES)
     list(APPEND HIGHGUI_LIBRARIES ${BZIP2_LIBRARIES})
-  elseif(APPLE)
+  endif()
+  if(APPLE)
     list(APPEND HIGHGUI_LIBRARIES "-framework VideoDecodeAcceleration")
   endif()
 endif(HAVE_FFMPEG)

diff --git a/modules/ml/src/ml_init.cpp b/modules/ml/src/ml_init.cpp
index 373a377..276f6f5 100644 (file)
--- a/modules/ml/src/ml_init.cpp
+++ b/modules/ml/src/ml_init.cpp
@@ -45,31 +45,14 @@
 namespace cv
 {
 
-static Algorithm* createEM()
-{
-    return new EM;
-}
-static AlgorithmInfo em_info("StatModel.EM", createEM);
-
-AlgorithmInfo* EM::info() const
-{
-    static volatile bool initialized = false;
-    if( !initialized )
-    {
-        EM obj;
-        em_info.addParam(obj, "nclusters", obj.nclusters);
-        em_info.addParam(obj, "covMatType", obj.covMatType);
-        em_info.addParam(obj, "maxIters", obj.maxIters);
-        em_info.addParam(obj, "epsilon", obj.epsilon);
-
-        em_info.addParam(obj, "weights", obj.weights, true);
-        em_info.addParam(obj, "means", obj.means, true);
-        em_info.addParam(obj, "covs", obj.covs, true);
-
-        initialized = true;
-    }
-    return &em_info;
-}
+CV_INIT_ALGORITHM(EM, "StatModel.EM",
+                  obj.info()->addParam(obj, "nclusters", obj.nclusters);
+                  obj.info()->addParam(obj, "covMatType", obj.covMatType);
+                  obj.info()->addParam(obj, "maxIters", obj.maxIters);
+                  obj.info()->addParam(obj, "epsilon", obj.epsilon);
+                  obj.info()->addParam(obj, "weights", obj.weights, true);
+                  obj.info()->addParam(obj, "means", obj.means, true);
+                  obj.info()->addParam(obj, "covs", obj.covs, true));
 
 bool initModule_ml(void)
 {

diff --git a/modules/nonfree/src/nonfree_init.cpp b/modules/nonfree/src/nonfree_init.cpp
index 5a7a2dd..239e857 100644 (file)
--- a/modules/nonfree/src/nonfree_init.cpp
+++ b/modules/nonfree/src/nonfree_init.cpp
@@ -46,65 +46,22 @@ namespace cv
 {
 
 ///////////////////////////////////////////////////////////////////////////////////////////////////////////
-    
-static Algorithm* createSURF()
-{
-    return new SURF;
-}
-
-static AlgorithmInfo& surf_info()
-{
-    static AlgorithmInfo surf_info_var("Feature2D.SURF", createSURF);
-    return surf_info_var;
-}
 
-static AlgorithmInfo& surf_info_auto = surf_info();
-
-AlgorithmInfo* SURF::info() const
-{
-    static volatile bool initialized = false;
-    if( !initialized )
-    {
-        SURF obj;
-        surf_info().addParam(obj, "hessianThreshold", obj.hessianThreshold);
-        surf_info().addParam(obj, "nOctaves", obj.nOctaves);
-        surf_info().addParam(obj, "nOctaveLayers", obj.nOctaveLayers);
-        surf_info().addParam(obj, "extended", obj.extended);
-        surf_info().addParam(obj, "upright", obj.upright);
-        
-        initialized = true;
-    }
-    return &surf_info();
-}
+CV_INIT_ALGORITHM(SURF, "Feature2D.SURF",
+                  obj.info()->addParam(obj, "hessianThreshold", obj.hessianThreshold);
+                  obj.info()->addParam(obj, "nOctaves", obj.nOctaves);
+                  obj.info()->addParam(obj, "nOctaveLayers", obj.nOctaveLayers);
+                  obj.info()->addParam(obj, "extended", obj.extended);
+                  obj.info()->addParam(obj, "upright", obj.upright));
 
 ///////////////////////////////////////////////////////////////////////////////////////////////////////////
 
-static Algorithm* createSIFT() { return new SIFT; }
-
-static AlgorithmInfo& sift_info()
-{
-    static AlgorithmInfo sift_info_var("Feature2D.SIFT", createSIFT);
-    return sift_info_var;
-}
-
-static AlgorithmInfo& sift_info_auto = sift_info();
-
-AlgorithmInfo* SIFT::info() const
-{
-    static volatile bool initialized = false;
-    if( !initialized )
-    {
-        SIFT obj;
-        sift_info().addParam(obj, "nFeatures", obj.nfeatures);
-        sift_info().addParam(obj, "nOctaveLayers", obj.nOctaveLayers);
-        sift_info().addParam(obj, "contrastThreshold", obj.contrastThreshold);
-        sift_info().addParam(obj, "edgeThreshold", obj.edgeThreshold);
-        sift_info().addParam(obj, "sigma", obj.sigma);
-        
-        initialized = true;
-    }
-    return &sift_info();
-}
+CV_INIT_ALGORITHM(SIFT, "Feature2D.SIFT",    
+                  obj.info()->addParam(obj, "nFeatures", obj.nfeatures);
+                  obj.info()->addParam(obj, "nOctaveLayers", obj.nOctaveLayers);
+                  obj.info()->addParam(obj, "contrastThreshold", obj.contrastThreshold);
+                  obj.info()->addParam(obj, "edgeThreshold", obj.edgeThreshold);
+                  obj.info()->addParam(obj, "sigma", obj.sigma));
 
 ///////////////////////////////////////////////////////////////////////////////////////////////////////////    
     

diff --git a/modules/video/src/video_init.cpp b/modules/video/src/video_init.cpp
index e60f4fc..159f307 100644 (file)
--- a/modules/video/src/video_init.cpp
+++ b/modules/video/src/video_init.cpp
@@ -47,72 +47,24 @@ namespace cv
     
 ///////////////////////////////////////////////////////////////////////////////////////////////////////////
 
-static Algorithm* createMOG()
-{
-    return new BackgroundSubtractorMOG;
-}
-
-static AlgorithmInfo& mog_info()
-{
-    static AlgorithmInfo mog_info_var("BackgroundSubtractor.MOG", createMOG);
-    return mog_info_var;
-}
-
-static AlgorithmInfo& mog_info_auto = mog_info();
-
-AlgorithmInfo* BackgroundSubtractorMOG::info() const
-{
-    static volatile bool initialized = false;
-    if( !initialized )
-    {
-        BackgroundSubtractorMOG obj;
-        
-        mog_info().addParam(obj, "history", obj.history);
-        mog_info().addParam(obj, "nmixtures", obj.nmixtures);
-        mog_info().addParam(obj, "backgroundRatio", obj.backgroundRatio);
-        mog_info().addParam(obj, "noiseSigma", obj.noiseSigma);
-        
-        initialized = true;
-    }
-    return &mog_info();
-}
+CV_INIT_ALGORITHM(BackgroundSubtractorMOG, "BackgroundSubtractor.MOG",
+    obj.info()->addParam(obj, "history", obj.history);
+    obj.info()->addParam(obj, "nmixtures", obj.nmixtures);
+    obj.info()->addParam(obj, "backgroundRatio", obj.backgroundRatio);
+    obj.info()->addParam(obj, "noiseSigma", obj.noiseSigma));
 
 ///////////////////////////////////////////////////////////////////////////////////////////////////////////
 
-static Algorithm* createMOG2()
-{
-    return new BackgroundSubtractorMOG2;
-}
-
-static AlgorithmInfo& mog2_info()
-{
-    static AlgorithmInfo mog2_info_var("BackgroundSubtractor.MOG2", createMOG2);
-    return mog2_info_var;
-}
-
-static AlgorithmInfo& mog2_info_auto = mog2_info();
-
-AlgorithmInfo* BackgroundSubtractorMOG2::info() const
-{
-    static volatile bool initialized = false;
-    if( !initialized )
-    {
-        BackgroundSubtractorMOG2 obj;
-        
-        mog2_info().addParam(obj, "history", obj.history);
-        mog2_info().addParam(obj, "varThreshold", obj.varThreshold);
-        mog2_info().addParam(obj, "detectShadows", obj.bShadowDetection);
-        
-        initialized = true;
-    }
-    return &mog2_info();
-}
+CV_INIT_ALGORITHM(BackgroundSubtractorMOG2, "BackgroundSubtractor.MOG2",
+    obj.info()->addParam(obj, "history", obj.history);
+    obj.info()->addParam(obj, "varThreshold", obj.varThreshold);
+    obj.info()->addParam(obj, "detectShadows", obj.bShadowDetection));
 
 ///////////////////////////////////////////////////////////////////////////////////////////////////////////    
 
 bool initModule_video(void)
 {
-    Ptr<Algorithm> mog = createMOG(), mog2 = createMOG2();
+    Ptr<Algorithm> mog = createBackgroundSubtractorMOG(), mog2 = createBackgroundSubtractorMOG2();
     return mog->info() != 0 && mog2->info() != 0;
 }
     

diff --git a/modules/world/CMakeLists.txt b/modules/world/CMakeLists.txt
index 24a5431..c10551d 100644 (file)
--- a/modules/world/CMakeLists.txt
+++ b/modules/world/CMakeLists.txt
@@ -52,7 +52,11 @@ foreach(m ${OPENCV_MODULE_${the_module}_DEPS})
       get_filename_component(srcname_we ${srcname} NAME_WE)
       string(REGEX REPLACE <SRC_NAME_WE> "${srcname_we}" objpath2 "${objpath1}")
       string(REGEX REPLACE <RELATIVE_SRC_NAME> "${srcname}" objpath3 "${objpath2}")
-      file(RELATIVE_PATH objpath4 "${CMAKE_CURRENT_BINARY_DIR}" "${objpath3}")
+      if(CMAKE_GENERATOR MATCHES Xcode)
+        set(objpath4 ${objpath3})
+      else()
+        file(RELATIVE_PATH objpath4 "${CMAKE_CURRENT_BINARY_DIR}" "${objpath3}")
+      endif()
       list(APPEND objlist "\"${objpath4}\"")
     endif()
   endforeach()