warnings, renamed Marina's GPU_PERF_TEST_P

Author: Anatoly Baksheev

modules/gpu/app/nv_perf_test/main.cpp

@@ -81,8 +81,8 @@ GPU_PERF_TEST_P(Image, HoughLinesP, testing::Values(std::string("im1_1280x800.jp
 
     std::string fileName = GetParam();
 
-    const double rho = 1.0;
-    const double theta = 1.0;
+    const float rho = 1.f;
+    const float theta = 1.f;
     const int threshold = 40;
     const int minLineLenght = 20;
     const int maxLineGap = 5;

modules/gpu/perf/perf_imgproc.cpp

@@ -1805,8 +1805,8 @@ PERF_TEST_P(Image, ImgProc_HoughLinesP, testing::Values("cv/shared/pic5.png", "s
 
     std::string fileName = getDataPath(GetParam());
 
-    const double rho = 1.0f;
-    const double theta = CV_PI / 180.0;
+    const float rho = 1.0f;
+    const float theta = static_cast<float>(CV_PI / 180.0);
     const int threshold = 100;
     const int minLineLenght = 50;
     const int maxLineGap = 5;

modules/gpu/perf/perf_softcascade.cpp

@@ -1,6 +1,6 @@
 #include "perf_precomp.hpp"
 
-#define GPU_PERF_TEST_P(fixture, name, params)  \
+#define PERF_TEST_P1(fixture, name, params)  \
     class fixture##_##name : public fixture {\
      public:\
       fixture##_##name() {}\
@@ -52,7 +52,7 @@ namespace {
 typedef std::tr1::tuple<std::string, std::string> fixture_t;
 typedef perf::TestBaseWithParam<fixture_t> SCascadeTest;
 
-GPU_PERF_TEST_P(SCascadeTest, detect,
+PERF_TEST_P1(SCascadeTest, detect,
     testing::Combine(
         testing::Values(std::string("cv/cascadeandhog/sc_cvpr_2012_to_opencv.xml")),
         testing::Values(std::string("cv/cascadeandhog/bahnhof/image_00000000_0.png"))))
@@ -108,7 +108,7 @@ static cv::Rect getFromTable(int idx)
 typedef std::tr1::tuple<std::string, std::string, int> roi_fixture_t;
 typedef perf::TestBaseWithParam<roi_fixture_t> SCascadeTestRoi;
 
-GPU_PERF_TEST_P(SCascadeTestRoi, detectInRoi,
+PERF_TEST_P1(SCascadeTestRoi, detectInRoi,
     testing::Combine(
         testing::Values(std::string("cv/cascadeandhog/sc_cvpr_2012_to_opencv.xml")),
         testing::Values(std::string("cv/cascadeandhog/bahnhof/image_00000000_0.png")),
@@ -152,7 +152,7 @@ RUN_GPU(SCascadeTestRoi, detectInRoi)
 NO_CPU(SCascadeTestRoi, detectInRoi)
 
 
-GPU_PERF_TEST_P(SCascadeTestRoi, detectEachRoi,
+PERF_TEST_P1(SCascadeTestRoi, detectEachRoi,
     testing::Combine(
         testing::Values(std::string("cv/cascadeandhog/sc_cvpr_2012_to_opencv.xml")),
         testing::Values(std::string("cv/cascadeandhog/bahnhof/image_00000000_0.png")),
@@ -191,7 +191,7 @@ RUN_GPU(SCascadeTestRoi, detectEachRoi)
 
 NO_CPU(SCascadeTestRoi, detectEachRoi)
 
-GPU_PERF_TEST_P(SCascadeTest, detectOnIntegral,
+PERF_TEST_P1(SCascadeTest, detectOnIntegral,
     testing::Combine(
         testing::Values(std::string("cv/cascadeandhog/sc_cvpr_2012_to_opencv.xml")),
         testing::Values(std::string("cv/cascadeandhog/integrals.xml"))))
@@ -239,7 +239,7 @@ RUN_GPU(SCascadeTest, detectOnIntegral)
 
 NO_CPU(SCascadeTest, detectOnIntegral)
 
-GPU_PERF_TEST_P(SCascadeTest, detectStream,
+PERF_TEST_P1(SCascadeTest, detectStream,
     testing::Combine(
         testing::Values(std::string("cv/cascadeandhog/sc_cvpr_2012_to_opencv.xml")),
         testing::Values(std::string("cv/cascadeandhog/bahnhof/image_00000000_0.png"))))

modules/gpu/src/softcascade.cpp

@@ -276,8 +276,8 @@ struct cv::gpu::SCascade::Fields
         int dcs = 0;
         for (int sc = 0; sc < totals; ++sc)
         {
-            int width  = ::std::max(0.0f, fw - (origObjWidth  * scale));
-            int height = ::std::max(0.0f, fh - (origObjHeight * scale));
+            int width  = (int)::std::max(0.0f, fw - (origObjWidth  * scale));
+            int height = (int)::std::max(0.0f, fh - (origObjHeight * scale));
 
             float logScale = ::log(scale);
             int fit = fitOctave(voctaves, logScale);
@@ -457,7 +457,7 @@ cv::gpu::SCascade::~SCascade() { delete fields; }
 bool cv::gpu::SCascade::load(const FileNode& fn)
 {
     if (fields) delete fields;
-    fields = Fields::parseCascade(fn, minScale, maxScale, scales, flags);
+    fields = Fields::parseCascade(fn, (float)minScale, (float)maxScale, scales, flags);
     return fields != 0;
 }
 
@@ -488,7 +488,7 @@ void cv::gpu::SCascade::detect(InputArray _image, InputArray _rois, OutputArray
     {
         flds.update(image.rows, image.cols, flds.shrinkage);
 
-        if (flds.check(minScale, maxScale, scales))
+        if (flds.check((float)minScale, (float)maxScale, scales))
             flds.createLevels(image.rows, image.cols);
 
         flds.preprocessor->apply(image, flds.shrunk);
@@ -672,4 +672,4 @@ cv::Ptr<cv::gpu::ChannelsProcessor> cv::gpu::ChannelsProcessor::create(const int
 cv::gpu::ChannelsProcessor::ChannelsProcessor() { }
 cv::gpu::ChannelsProcessor::~ChannelsProcessor() { }
 
-#endif
+#endif

samples/gpu/softcascade.cpp

@@ -98,7 +98,8 @@ int main(int argc, char** argv)
 
         std::cout << "working..." << std::endl;
         cv::imshow("Soft Cascade demo", result);
-        cv::waitKey(10);
+        if (27 == cv::waitKey(10))
+            break;
     }
 
     return 0;