Merge pull request #4033 from jet47:gpu-tests-fix

modules/gpu/src/calib3d.cpp

@@ -138,14 +138,16 @@ namespace
             bool was;
             do
             {
-                subset[i] = rand() % num_points;
+                subset[i] = cv::theRNG().uniform(0, num_points);
                 was = false;
                 for (int j = 0; j < i; ++j)
+                {
                     if (subset[j] == subset[i])
                     {
                         was = true;
                         break;
                     }
+                }
             } while (was);
         }
     }

modules/gpu/test/nvidia/main_nvidia.cpp

@@ -340,6 +340,7 @@ bool nvidia_NPPST_Integral_Image(const std::string& test_data_path, OutputLevel
 bool nvidia_NPPST_Squared_Integral_Image(const std::string& test_data_path, OutputLevel outputLevel)
 {
     path = test_data_path;
+    if (outputLevel != OutputLevelFull)
         ncvSetDebugOutputHandler(devNullOutput);
 
     NCVAutoTestLister testListerSII("NPPST Squared Integral Image", outputLevel);
@@ -354,6 +355,7 @@ bool nvidia_NPPST_Squared_Integral_Image(const std::string& test_data_path, Outp
 bool nvidia_NPPST_RectStdDev(const std::string& test_data_path, OutputLevel outputLevel)
 {
     path = test_data_path;
+    if (outputLevel != OutputLevelFull)
         ncvSetDebugOutputHandler(devNullOutput);
 
     NCVAutoTestLister testListerRStdDev("NPPST RectStdDev", outputLevel);
@@ -368,6 +370,7 @@ bool nvidia_NPPST_RectStdDev(const std::string& test_data_path, OutputLevel outp
 bool nvidia_NPPST_Resize(const std::string& test_data_path, OutputLevel outputLevel)
 {
     path = test_data_path;
+    if (outputLevel != OutputLevelFull)
         ncvSetDebugOutputHandler(devNullOutput);
 
     NCVAutoTestLister testListerResize("NPPST Resize", outputLevel);
@@ -384,6 +387,7 @@ bool nvidia_NPPST_Resize(const std::string& test_data_path, OutputLevel outputLe
 bool nvidia_NPPST_Vector_Operations(const std::string& test_data_path, OutputLevel outputLevel)
 {
     path = test_data_path;
+    if (outputLevel != OutputLevelFull)
         ncvSetDebugOutputHandler(devNullOutput);
 
     NCVAutoTestLister testListerNPPSTVectorOperations("NPPST Vector Operations", outputLevel);
@@ -398,6 +402,7 @@ bool nvidia_NPPST_Vector_Operations(const std::string& test_data_path, OutputLev
 bool nvidia_NPPST_Transpose(const std::string& test_data_path, OutputLevel outputLevel)
 {
     path = test_data_path;
+    if (outputLevel != OutputLevelFull)
         ncvSetDebugOutputHandler(devNullOutput);
 
     NCVAutoTestLister testListerTranspose("NPPST Transpose", outputLevel);
@@ -414,6 +419,7 @@ bool nvidia_NPPST_Transpose(const std::string& test_data_path, OutputLevel outpu
 bool nvidia_NCV_Vector_Operations(const std::string& test_data_path, OutputLevel outputLevel)
 {
     path = test_data_path;
+    if (outputLevel != OutputLevelFull)
         ncvSetDebugOutputHandler(devNullOutput);
 
     NCVAutoTestLister testListerVectorOperations("Vector Operations", outputLevel);
@@ -429,6 +435,7 @@ bool nvidia_NCV_Vector_Operations(const std::string& test_data_path, OutputLevel
 bool nvidia_NCV_Haar_Cascade_Loader(const std::string& test_data_path, OutputLevel outputLevel)
 {
     path = test_data_path;
+    if (outputLevel != OutputLevelFull)
         ncvSetDebugOutputHandler(devNullOutput);
 
     NCVAutoTestLister testListerHaarLoader("Haar Cascade Loader", outputLevel);
@@ -441,6 +448,7 @@ bool nvidia_NCV_Haar_Cascade_Loader(const std::string& test_data_path, OutputLev
 bool nvidia_NCV_Haar_Cascade_Application(const std::string& test_data_path, OutputLevel outputLevel)
 {
     path = test_data_path;
+    if (outputLevel != OutputLevelFull)
         ncvSetDebugOutputHandler(devNullOutput);
 
     NCVAutoTestLister testListerHaarAppl("Haar Cascade Application", outputLevel);
@@ -455,6 +463,7 @@ bool nvidia_NCV_Haar_Cascade_Application(const std::string& test_data_path, Outp
 bool nvidia_NCV_Hypotheses_Filtration(const std::string& test_data_path, OutputLevel outputLevel)
 {
     path = test_data_path;
+    if (outputLevel != OutputLevelFull)
         ncvSetDebugOutputHandler(devNullOutput);
 
     NCVAutoTestLister testListerHypFiltration("Hypotheses Filtration", outputLevel);
@@ -469,6 +478,7 @@ bool nvidia_NCV_Hypotheses_Filtration(const std::string& test_data_path, OutputL
 bool nvidia_NCV_Visualization(const std::string& test_data_path, OutputLevel outputLevel)
 {
     path = test_data_path;
+    if (outputLevel != OutputLevelFull)
         ncvSetDebugOutputHandler(devNullOutput);
 
     NCVAutoTestLister testListerVisualize("Visualization", outputLevel);

modules/gpu/test/test_calib3d.cpp

@@ -278,18 +278,20 @@ struct SolvePnPRansac : testing::TestWithParam<cv::gpu::DeviceInfo>
 
 GPU_TEST_P(SolvePnPRansac, Accuracy)
 {
-    cv::Mat object = randomMat(cv::Size(5000, 1), CV_32FC3, 0, 100);
-    cv::Mat camera_mat = randomMat(cv::Size(3, 3), CV_32F, 0.5, 1);
+    // Use RNG with fixed seed to be reproducable
+    cv::RNG rng(123456789);
+    cv::theRNG() = rng;
+
+    cv::Mat object = cvtest::randomMat(rng, cv::Size(5000, 1), CV_32FC3, 0, 100, false);
+    cv::Mat camera_mat = cvtest::randomMat(rng, cv::Size(3, 3), CV_32FC1, 0.5, 1, false);
     camera_mat.at<float>(0, 1) = 0.f;
     camera_mat.at<float>(1, 0) = 0.f;
     camera_mat.at<float>(2, 0) = 0.f;
     camera_mat.at<float>(2, 1) = 0.f;
 
     std::vector<cv::Point2f> image_vec;
-    cv::Mat rvec_gold;
-    cv::Mat tvec_gold;
-    rvec_gold = randomMat(cv::Size(3, 1), CV_32F, 0, 1);
-    tvec_gold = randomMat(cv::Size(3, 1), CV_32F, 0, 1);
+    cv::Mat rvec_gold = cvtest::randomMat(rng, cv::Size(3, 1), CV_32F, 0, 1, false);
+    cv::Mat tvec_gold = cvtest::randomMat(rng, cv::Size(3, 1), CV_32F, 0, 1, false);
     cv::projectPoints(object, rvec_gold, tvec_gold, camera_mat, cv::Mat(1, 8, CV_32F, cv::Scalar::all(0)), image_vec);
 
     cv::Mat rvec, tvec;