refactor performance tests

modules/gpu/perf/perf_softcascade.cpp

+#include "perf_precomp.hpp"
+
+#define GPU_PERF_TEST_P(fixture, name, params)  \
+    class fixture##_##name : public fixture {\
+     public:\
+      fixture##_##name() {}\
+     protected:\
+             virtual void __cpu();\
+        virtual void __gpu();\
+      virtual void PerfTestBody();\
+    };\
+    TEST_P(fixture##_##name, name /*perf*/){ RunPerfTestBody(); if (runOnGpu) __gpu(); else __cpu();}\
+    INSTANTIATE_TEST_CASE_P(/*none*/, fixture##_##name, params);\
+    void fixture##_##name::PerfTestBody()
+
+#define RUN_CPU(fixture, name)\
+    void fixture##_##name::__cpu()
+
+#define RUN_GPU(fixture, name)\
+    void fixture##_##name::__gpu()
+
+#define FAIL_NO_CPU(fixture, name)\
+void fixture##_##name::__cpu() { FAIL() << "No such CPU implementation analogy";}
+
+
+typedef std::tr1::tuple<std::string, std::string> fixture_t;
+typedef perf::TestBaseWithParam<fixture_t> SoftCascadeTest;
+
+GPU_PERF_TEST_P(SoftCascadeTest, 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"))))
+{ }
+
+RUN_GPU(SoftCascadeTest, detect)
+{
+    cv::Mat cpu = readImage (GET_PARAM(1));
+    ASSERT_FALSE(cpu.empty());
+    cv::gpu::GpuMat colored(cpu);
+
+    cv::gpu::SoftCascade cascade;
+    ASSERT_TRUE(cascade.load(perf::TestBase::getDataPath(GET_PARAM(0))));
+
+    cv::gpu::GpuMat objectBoxes(1, 16384, CV_8UC1), rois(cascade.getRoiSize(), CV_8UC1), trois;
+    rois.setTo(1);
+    cv::gpu::transpose(rois, trois);
+
+    cv::gpu::GpuMat curr = objectBoxes;
+    cascade.detectMultiScale(colored, trois, curr);
+
+    TEST_CYCLE()
+    {
+        curr = objectBoxes;
+        cascade.detectMultiScale(colored, trois, curr);
+    }
+}
+
+RUN_CPU(SoftCascadeTest, detect)
+{
+    cv::Mat colored = readImage(GET_PARAM(1));
+    ASSERT_FALSE(colored.empty());
+
+    cv::SoftCascade cascade;
+    ASSERT_TRUE(cascade.load(getDataPath(GET_PARAM(0))));
+
+    std::vector<cv::Rect> rois;
+
+    typedef cv::SoftCascade::Detection Detection;
+    std::vector<Detection>objectBoxes;
+    cascade.detectMultiScale(colored, rois, objectBoxes);
+
+    TEST_CYCLE()
+    {
+        cascade.detectMultiScale(colored, rois, objectBoxes);
+    }
+}
+
+static cv::Rect getFromTable(int idx)
+{
+    static const cv::Rect rois[] =
+    {
+        cv::Rect( 65,  20,  35, 80),
+        cv::Rect( 95,  35,  45, 40),
+        cv::Rect( 45,  35,  45, 40),
+        cv::Rect( 25,  27,  50, 45),
+        cv::Rect(100,  50,  45, 40),
+
+        cv::Rect( 60,  30,  45, 40),
+        cv::Rect( 40,  55,  50, 40),
+        cv::Rect( 48,  37,  72, 80),
+        cv::Rect( 48,  32,  85, 58),
+        cv::Rect( 48,   0,  32, 27)
+    };
+
+    return rois[idx];
+}
+
+typedef std::tr1::tuple<std::string, std::string, int> roi_fixture_t;
+typedef perf::TestBaseWithParam<roi_fixture_t> SoftCascadeTestRoi;
+
+GPU_PERF_TEST_P(SoftCascadeTestRoi, 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")),
+        testing::Range(0, 5)))
+{}
+
+RUN_GPU(SoftCascadeTestRoi, detectInRoi)
+{
+    cv::Mat cpu = readImage (GET_PARAM(1));
+    ASSERT_FALSE(cpu.empty());
+    cv::gpu::GpuMat colored(cpu);
+
+    cv::gpu::SoftCascade cascade;
+    ASSERT_TRUE(cascade.load(perf::TestBase::getDataPath(GET_PARAM(0))));
+
+    cv::gpu::GpuMat objectBoxes(1, 16384 * 20, CV_8UC1), rois(cascade.getRoiSize(), CV_8UC1);
+    rois.setTo(0);
+
+    int nroi = GET_PARAM(2);
+    cv::RNG rng;
+    for (int i = 0; i < nroi; ++i)
+    {
+        cv::Rect r = getFromTable(rng(10));
+        cv::gpu::GpuMat sub(rois, r);
+        sub.setTo(1);
+    }
+
+    cv::gpu::GpuMat trois;
+    cv::gpu::transpose(rois, trois);
+
+    cv::gpu::GpuMat curr = objectBoxes;
+    cascade.detectMultiScale(colored, trois, curr);
+
+    TEST_CYCLE()
+    {
+        curr = objectBoxes;
+        cascade.detectMultiScale(colored, trois, curr);
+    }
+}
+
+FAIL_NO_CPU(SoftCascadeTestRoi, detectInRoi)
+
+
+GPU_PERF_TEST_P(SoftCascadeTestRoi, 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")),
+        testing::Range(0, 10)))
+{}
+
+RUN_GPU(SoftCascadeTestRoi, detectEachRoi)
+{
+    cv::Mat cpu = readImage (GET_PARAM(1));
+    ASSERT_FALSE(cpu.empty());
+    cv::gpu::GpuMat colored(cpu);
+
+    cv::gpu::SoftCascade cascade;
+    ASSERT_TRUE(cascade.load(perf::TestBase::getDataPath(GET_PARAM(0))));
+
+    cv::gpu::GpuMat objectBoxes(1, 16384 * 20, CV_8UC1), rois(cascade.getRoiSize(), CV_8UC1);
+    rois.setTo(0);
+
+    int idx = GET_PARAM(2);
+    cv::Rect r = getFromTable(idx);
+    cv::gpu::GpuMat sub(rois, r);
+    sub.setTo(1);
+
+    cv::gpu::GpuMat curr = objectBoxes;
+    cv::gpu::GpuMat trois;
+    cv::gpu::transpose(rois, trois);
+
+    cascade.detectMultiScale(colored, trois, curr);
+
+    TEST_CYCLE()
+    {
+        curr = objectBoxes;
+        cascade.detectMultiScale(colored, trois, curr);
+    }
+}
+
+FAIL_NO_CPU(SoftCascadeTestRoi, detectEachRoi)
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