ocl: fix "off" mode

modules/dnn/src/layers/convolution_layer.cpp

@@ -153,6 +153,7 @@ namespace dnn
             return;
         }
 
+#ifdef HAVE_OPENCL
         if (useOpenCL && ocl::useOpenCL() && inpBlob.type() == CV_32F && !is1x1())
         {
             std::vector<Range> ranges(4, Range::all());
@@ -165,6 +166,7 @@ namespace dnn
             dst.copyTo(colMat);
             return;
         }
+#endif // HAVE_OPENCL
 
         if (inpBlob.type() == CV_32F)
             im2col_cpu((float *)srcPtr, inpGroupCn, inpH, inpW, kerH, kerW, padH, padW, strideH, strideW, (float *)colMat.ptr());

modules/dnn/src/layers/im2col.cpp

@@ -49,6 +49,7 @@ namespace cv
 namespace dnn
 {
 
+#ifdef HAVE_OPENCL
 void im2col_ocl(UMat &img,
                 int channels, int height, int width,
                 int kernel_h, int kernel_w,
@@ -78,6 +79,7 @@ void im2col_ocl(UMat &img,
 
     CV_Assert(im2col_ker.run(1, &globalSize, &localSize, true));
 }
+#endif // HAVE_OPENCL
 
 }
 }

modules/dnn/src/layers/im2col.hpp

@@ -111,12 +111,14 @@ void col2im_cpu(const Dtype* data_col,
     }
 }
 
+#ifdef HAVE_OPENCL
 void im2col_ocl(UMat &img,
                 int channels, int height, int width,
                 int kernel_h, int kernel_w,
                 int pad_h, int pad_w,
                 int stride_h, int stride_w,
                 UMat &col);
+#endif
 
 }
 }

modules/tracking/src/tldDetector.cpp

@@ -104,6 +104,7 @@ namespace cv
 			return splus / (sminus + splus);
 		}
 
+#ifdef HAVE_OPENCL
 		double TLDDetector::ocl_Sr(const Mat_<uchar>& patch)
 		{
 			//int64 e1, e2, e3, e4;
@@ -283,6 +284,7 @@ namespace cv
 			//t = (e2 - e1) / getTickFrequency()*1000.0;
 			//printf("Sr GPU: %f\n\n", t);
 		}
+#endif
 
 		// Calculate Conservative similarity of the patch (NN-Model)
 		double TLDDetector::Sc(const Mat_<uchar>& patch)
@@ -337,6 +339,7 @@ namespace cv
 			return splus / (sminus + splus);
 		}
 
+#ifdef HAVE_OPENCL
 		double TLDDetector::ocl_Sc(const Mat_<uchar>& patch)
 		{
 			//int64 e1, e2, e3, e4;
@@ -415,6 +418,7 @@ namespace cv
 				return 0.0;
 			return splus / (sminus + splus);
 		}
+#endif // HAVE_OPENCL
 
 		// Generate Search Windows for detector from aspect ratio of initial BBs
 		void TLDDetector::generateScanGrid(int rows, int cols, Size initBox, std::vector<Rect2d>& res, bool withScaling)
@@ -565,6 +569,7 @@ namespace cv
 			return true;
 		}
 
+#ifdef HAVE_OPENCL
 		bool TLDDetector::ocl_detect(const Mat& img, const Mat& imgBlurred, Rect2d& res, std::vector<LabeledPatch>& patches, Size initSize)
 		{
 			patches.clear();
@@ -696,6 +701,7 @@ namespace cv
 			res = maxScRect;
 			return true;
 		}
+#endif // HAVE_OPENCL
 
 		// Computes the variance of subimage given by box, with the help of two integral
 		// images intImgP and intImgP2 (sum of squares), which should be also provided.

modules/tracking/src/tldDetector.hpp

@@ -74,10 +74,12 @@ namespace cv
 			inline double ensembleClassifierNum(const uchar* data);
 			inline void prepareClassifiers(int rowstep);
 			double Sr(const Mat_<uchar>& patch);
-			double ocl_Sr(const Mat_<uchar>& patch);
 			double Sc(const Mat_<uchar>& patch);
+#ifdef HAVE_OPENCL
+			double ocl_Sr(const Mat_<uchar>& patch);
 			double ocl_Sc(const Mat_<uchar>& patch);
 			void ocl_batchSrSc(const Mat_<uchar>& patches, double *resultSr, double *resultSc, int numOfPatches);
+#endif
 
 			std::vector<TLDEnsembleClassifier> classifiers;
 			Mat *posExp, *negExp;

modules/tracking/src/tldModel.cpp

@@ -246,6 +246,7 @@ namespace cv
 			dfprintf((stdout, "\n"));*/
 		}
 
+#ifdef HAVE_OPENCL
 		void TrackerTLDModel::ocl_integrateAdditional(const std::vector<Mat_<uchar> >& eForModel, const std::vector<Mat_<uchar> >& eForEnsemble, bool isPositive)
 		{
 			int positiveIntoModel = 0, negativeIntoModel = 0, positiveIntoEnsemble = 0, negativeIntoEnsemble = 0;
@@ -315,6 +316,7 @@ namespace cv
 			dfprintf((stdout, "positiveIntoEnsemble = %d ", positiveIntoEnsemble));
 			dfprintf((stdout, "\n"));*/
 		}
+#endif // HAVE_OPENCL
 
 		//Push the patch to the model
 		void TrackerTLDModel::pushIntoModel(const Mat_<uchar>& example, bool positive)

modules/tracking/src/tldModel.hpp

@@ -58,7 +58,9 @@ namespace cv
 			void setBoudingBox(Rect2d boundingBox){ boundingBox_ = boundingBox; }
 			void integrateRelabeled(Mat& img, Mat& imgBlurred, const std::vector<TLDDetector::LabeledPatch>& patches);
 			void integrateAdditional(const std::vector<Mat_<uchar> >& eForModel, const std::vector<Mat_<uchar> >& eForEnsemble, bool isPositive);
+#ifdef HAVE_OPENCL
 			void ocl_integrateAdditional(const std::vector<Mat_<uchar> >& eForModel, const std::vector<Mat_<uchar> >& eForEnsemble, bool isPositive);
+#endif
 			Size getMinSize(){ return minSize_; }
 			void printme(FILE* port = stdout);
 			Ptr<TLDDetector> detector;

modules/tracking/src/tldTracker.cpp

@@ -123,9 +123,11 @@ bool TrackerTLDImpl::updateImpl(const Mat& image, Rect2d& boundingBox)
 
 		if (i == 1)
 		{
+#ifdef HAVE_OPENCL
 			if (ocl::haveOpenCL())
 				DETECT_FLG = tldModel->detector->ocl_detect(imageForDetector, image_blurred, tmpCandid, detectorResults, tldModel->getMinSize());
 			else
+#endif
 				DETECT_FLG = tldModel->detector->detect(imageForDetector, image_blurred, tmpCandid, detectorResults, tldModel->getMinSize());
 		}
 
@@ -211,17 +213,21 @@ bool TrackerTLDImpl::updateImpl(const Mat& image, Rect2d& boundingBox)
         tldModel->integrateRelabeled(imageForDetector, image_blurred, detectorResults);
         //dprintf(("%d relabeled by nExpert\n", negRelabeled));
         pExpert.additionalExamples(examplesForModel, examplesForEnsemble);
-		if (ocl::haveOpenCL())
-			tldModel->ocl_integrateAdditional(examplesForModel, examplesForEnsemble, true);
-		else
-			tldModel->integrateAdditional(examplesForModel, examplesForEnsemble, true);
+#ifdef HAVE_OPENCL
+        if (ocl::haveOpenCL())
+            tldModel->ocl_integrateAdditional(examplesForModel, examplesForEnsemble, true);
+        else
+#endif
+        tldModel->integrateAdditional(examplesForModel, examplesForEnsemble, true);
         examplesForModel.clear(); examplesForEnsemble.clear();
         nExpert.additionalExamples(examplesForModel, examplesForEnsemble);
 
-		if (ocl::haveOpenCL())
-			tldModel->ocl_integrateAdditional(examplesForModel, examplesForEnsemble, false);
-		else
-			tldModel->integrateAdditional(examplesForModel, examplesForEnsemble, false);
+#ifdef HAVE_OPENCL
+        if (ocl::haveOpenCL())
+            tldModel->ocl_integrateAdditional(examplesForModel, examplesForEnsemble, false);
+        else
+#endif
+            tldModel->integrateAdditional(examplesForModel, examplesForEnsemble, false);
     }
     else
     {

modules/xfeatures2d/src/surf.cpp

@@ -892,6 +892,7 @@ void SURF_Impl::detectAndCompute(InputArray _img, InputArray _mask,
     CV_Assert(!_img.empty() && CV_MAT_DEPTH(imgtype) == CV_8U && (imgcn == 1 || imgcn == 3 || imgcn == 4));
     CV_Assert(_descriptors.needed() || !useProvidedKeypoints);
 
+#ifdef HAVE_OPENCL
     if( ocl::useOpenCL() )
     {
         SURF_OCL ocl_surf;
@@ -918,6 +919,7 @@ void SURF_Impl::detectAndCompute(InputArray _img, InputArray _mask,
             return;
         }
     }
+#endif // HAVE_OPENCL
 
     Mat img = _img.getMat(), mask = _mask.getMat(), mask1, sum, msum;
 

modules/xfeatures2d/src/surf.hpp

@@ -64,6 +64,7 @@ public:
     bool upright;
 };
 
+#ifdef HAVE_OPENCL
 class SURF_OCL
 {
 public:
@@ -145,6 +146,7 @@ protected:
 
     int status;
 };
+#endif // HAVE_OPENCL
 
 /*
 template<typename _Tp> void copyVectorToUMat(const std::vector<_Tp>& v, UMat& um)

modules/xfeatures2d/src/surf.ocl.cpp

@@ -43,6 +43,9 @@
 //
 //M*/
 #include "precomp.hpp"
+
+#ifdef HAVE_OPENCL
+
 #include "surf.hpp"
 
 #include <cstdio>
@@ -461,3 +464,4 @@ bool SURF_OCL::calcOrientation(UMat &keypoints)
 }
 }
 
+#endif // HAVE_OPENCL