Add Macro to decide using ocl method or not.

samples/cpp/bagofwords_classification.cpp

@@ -5,6 +5,7 @@
 #include "opencv2/nonfree/nonfree.hpp"
 #include "opencv2/ml/ml.hpp"
 #ifdef HAVE_OPENCV_OCL
+#define _OCL_SVM_ 0 //select whether using ocl::svm method or not, default is not
 #include "opencv2/ocl/ocl.hpp"
 #endif
 
@@ -2377,7 +2378,7 @@ static void setSVMTrainAutoParams( CvParamGrid& c_grid, CvParamGrid& gamma_grid,
     degree_grid.step = 0;
 }
 
-#ifdef HAVE_OPENCV_OCL
+#if defined HAVE_OPENCV_OCL && _OCL_SVM_
 static void trainSVMClassifier( cv::ocl::CvSVM_OCL& svm, const SVMTrainParamsExt& svmParamsExt, const string& objClassName, VocData& vocData,
                                Ptr<BOWImgDescriptorExtractor>& bowExtractor, const Ptr<FeatureDetector>& fdetector,
                                const string& resPath )
@@ -2458,7 +2459,7 @@ static void trainSVMClassifier( CvSVM& svm, const SVMTrainParamsExt& svmParamsEx
     }
 }
 
-#ifdef HAVE_OPENCV_OCL
+#if defined HAVE_OPENCV_OCL && _OCL_SVM_
 static void computeConfidences( cv::ocl::CvSVM_OCL& svm, const string& objClassName, VocData& vocData,
                                Ptr<BOWImgDescriptorExtractor>& bowExtractor, const Ptr<FeatureDetector>& fdetector,
                                const string& resPath )
@@ -2605,7 +2606,7 @@ int main(int argc, char** argv)
     for( size_t classIdx = 0; classIdx < objClasses.size(); ++classIdx )
     {
         // Train a classifier on train dataset
-#ifdef HAVE_OPENCV_OCL
+#if defined HAVE_OPENCV_OCL && _OCL_SVM_
         cv::ocl::CvSVM_OCL svm;
 #else
         CvSVM svm;

samples/cpp/points_classifier.cpp

@@ -3,6 +3,8 @@
 #include "opencv2/ml/ml.hpp"
 #include "opencv2/highgui/highgui.hpp"
 #ifdef HAVE_OPENCV_OCL
+#define _OCL_KNN_ 0 // select whether using ocl::KNN method or not, default is not
+#define _OCL_SVM_ 0 // select whether using ocl::svm method or not, default is not
 #include "opencv2/ocl/ocl.hpp"
 #endif
 
@@ -137,7 +139,7 @@ static void find_decision_boundary_KNN( int K )
     prepare_train_data( trainSamples, trainClasses );
 
     // learn classifier
-#ifdef HAVE_OPENCV_OCL
+#if defined HAVE_OPENCV_OCL && _OCL_KNN_
     cv::ocl::KNearestNeighbour knnClassifier;
     Mat temp, result;
     knnClassifier.train(trainSamples, trainClasses, temp, false, K);
@@ -153,7 +155,7 @@ static void find_decision_boundary_KNN( int K )
         {
             testSample.at<float>(0) = (float)x;
             testSample.at<float>(1) = (float)y;
-#ifdef HAVE_OPENCV_OCL
+#if defined HAVE_OPENCV_OCL && _OCL_KNN_
             testSample_ocl.upload(testSample);
 
             knnClassifier.find_nearest(testSample_ocl, K, reslut_ocl);
@@ -180,7 +182,7 @@ static void find_decision_boundary_SVM( CvSVMParams params )
     prepare_train_data( trainSamples, trainClasses );
 
     // learn classifier
-#ifdef HAVE_OPENCV_OCL
+#if defined HAVE_OPENCV_OCL && _OCL_SVM_
     cv::ocl::CvSVM_OCL svmClassifier(trainSamples, trainClasses, Mat(), Mat(), params);
 #else
     CvSVM svmClassifier( trainSamples, trainClasses, Mat(), Mat(), params );