All tests writing temporary files are updated to use cv::tempfile() function

modules/features2d/test/test_fast.cpp

@@ -48,8 +48,8 @@ class CV_FastTest : public cvtest::BaseTest
 {
 public:
     CV_FastTest();
-    ~CV_FastTest();    
-protected:    
+    ~CV_FastTest();
+protected:
     void run(int);
 };
 
@@ -58,13 +58,13 @@ CV_FastTest::~CV_FastTest() {}
 
 void CV_FastTest::run( int )
 {
-    Mat image1 = imread(string(ts->get_data_path()) + "inpaint/orig.jpg");   
-    Mat image2 = imread(string(ts->get_data_path()) + "cameracalibration/chess9.jpg");   
+    Mat image1 = imread(string(ts->get_data_path()) + "inpaint/orig.jpg");
+    Mat image2 = imread(string(ts->get_data_path()) + "cameracalibration/chess9.jpg");
     string xml = string(ts->get_data_path()) + "fast/result.xml";
-        
+
     if (image1.empty() || image2.empty())
     {
-        ts->set_failed_test_info( cvtest::TS::FAIL_INVALID_TEST_DATA );  
+        ts->set_failed_test_info( cvtest::TS::FAIL_INVALID_TEST_DATA );
         return;
     }
 
@@ -73,20 +73,20 @@ void CV_FastTest::run( int )
     cvtColor(image2, gray2, CV_BGR2GRAY);
 
     vector<KeyPoint> keypoints1;
-    vector<KeyPoint> keypoints2;    
+    vector<KeyPoint> keypoints2;
     FAST(gray1, keypoints1, 30);
     FAST(gray2, keypoints2, 30);
 
     for(size_t i = 0; i < keypoints1.size(); ++i)
     {
         const KeyPoint& kp = keypoints1[i];
-        cv::circle(image1, kp.pt, cvRound(kp.size/2), CV_RGB(255, 0, 0));        
+        cv::circle(image1, kp.pt, cvRound(kp.size/2), CV_RGB(255, 0, 0));
     }
 
     for(size_t i = 0; i < keypoints2.size(); ++i)
     {
         const KeyPoint& kp = keypoints2[i];
-        cv::circle(image2, kp.pt, cvRound(kp.size/2), CV_RGB(255, 0, 0));        
+        cv::circle(image2, kp.pt, cvRound(kp.size/2), CV_RGB(255, 0, 0));
     }
 
     Mat kps1(1, (int)(keypoints1.size() * sizeof(KeyPoint)), CV_8U, &keypoints1[0]);
@@ -99,14 +99,14 @@ void CV_FastTest::run( int )
         fs << "exp_kps1" << kps1;
         fs << "exp_kps2" << kps2;
         fs.release();
-    }              
+    }
 
     if (!fs.isOpened())
         fs.open(xml, FileStorage::READ);
- 
-    Mat exp_kps1, exp_kps2;        
+
+    Mat exp_kps1, exp_kps2;
     read( fs["exp_kps1"], exp_kps1, Mat() );
-    read( fs["exp_kps2"], exp_kps2, Mat() );                
+    read( fs["exp_kps2"], exp_kps2, Mat() );
     fs.release();
 
     if ( 0 != norm(exp_kps1, kps1, NORM_L2) || 0 != norm(exp_kps2, kps2, NORM_L2))
@@ -114,7 +114,7 @@ void CV_FastTest::run( int )
         ts->set_failed_test_info(cvtest::TS::FAIL_MISMATCH);
         return;
     }
-    
+
  /*   cv::namedWindow("Img1"); cv::imshow("Img1", image1);
     cv::namedWindow("Img2"); cv::imshow("Img2", image2);
     cv::waitKey(0);*/

modules/features2d/test/test_mser.cpp

@@ -50,8 +50,8 @@ using namespace cv;
 class CV_MserTest : public cvtest::BaseTest
 {
 public:
-    CV_MserTest();  
-protected:    
+    CV_MserTest();
+protected:
     void run(int);
     int LoadBoxes(const char* path, vector<CvBox2D>& boxes);
     int SaveBoxes(const char* path, const vector<CvBox2D>& boxes);
@@ -71,7 +71,7 @@ int CV_MserTest::LoadBoxes(const char* path, vector<CvBox2D>& boxes)
     {
         return 0;
     }
-    
+
     while (!feof(f))
     {
         CvBox2D box;
@@ -175,12 +175,12 @@ void CV_MserTest::run(int)
     {
         RotatedRect box = fitEllipse(msers[i]);
         box.angle=(float)CV_PI/2-box.angle;
-        boxes.push_back(box);           
+        boxes.push_back(box);
     }
 
     string boxes_path = string(ts->get_data_path()) + "mser/boxes.txt";
     string calc_boxes_path = string(ts->get_data_path()) + "mser/boxes.calc.txt";
-    
+
     if (!LoadBoxes(boxes_path.c_str(),boxes_orig))
     {
         SaveBoxes(boxes_path.c_str(),boxes);

modules/features2d/test/test_nearestneighbors.cpp

@@ -128,7 +128,7 @@ void NearestNeighborTest::run( int /*start_from*/ ) {
     randu( desc, Scalar(minValue), Scalar(maxValue) );
 
     createModel( desc );
-    
+
     tempCode = checkGetPoins( desc );
     if( tempCode != cvtest::TS::OK )
     {
@@ -149,9 +149,9 @@ void NearestNeighborTest::run( int /*start_from*/ ) {
         ts->printf( cvtest::TS::LOG, "bad accuracy of Find \n" );
         code = tempCode;
     }
-    
+
     releaseModel();
-    
+
     ts->set_failed_test_info( code );
 }
 
@@ -398,7 +398,7 @@ void CV_FlannSavedIndexTest::createModel(const cv::Mat &data)
     }
     string filename = tempfile();
     index->save( filename );
-    
+
     createIndex( data, SavedIndexParams(filename.c_str()));
     remove( filename.c_str() );
 }