diff --git a/modules/gpu/test/test_softcascade.cpp b/modules/gpu/test/test_softcascade.cpp
index 84602915f..0b266f827 100644
--- a/modules/gpu/test/test_softcascade.cpp
+++ b/modules/gpu/test/test_softcascade.cpp
@@ -41,20 +41,197 @@
//M*/
#include <test_precomp.hpp>
+#include <time.h>
#ifdef HAVE_CUDA
-
using cv::gpu::GpuMat;
-TEST(SoftCascade, readCascade)
+// show detection results on input image with cv::imshow
+//#define SHOW_DETECTIONS
+
+#if defined SHOW_DETECTIONS
+# define SHOW(res) \
+ cv::imshow(#res, result);\
+ cv::waitKey(0);
+#else
+# define SHOW(res)
+#endif
+
+#define GPU_TEST_P(fixture, name, params) \
+ class fixture##_##name : public fixture { \
+ public: \
+ fixture##_##name() {} \
+ protected: \
+ virtual void body(); \
+ }; \
+ TEST_P(fixture##_##name, name /*none*/){ body();} \
+ INSTANTIATE_TEST_CASE_P(/*none*/, fixture##_##name, params); \
+ void fixture##_##name::body()
+
+
+typedef std::tr1::tuple<std::string, std::string, int> roi_fixture_t;
+
+struct SoftCascadeTest : public ::testing::TestWithParam<roi_fixture_t>
+{
+ typedef cv::gpu::SoftCascade::Detection detection_t;
+ 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];
+ }
+
+ static std::string itoa(long i)
+ {
+ static char s[65];
+ sprintf(s, "%ld", i);
+ return std::string(s);
+ }
+
+ static std::string getImageName(int level)
+ {
+ time_t rawtime;
+ struct tm * timeinfo;
+ char buffer [80];
+
+ time ( &rawtime );
+ timeinfo = localtime ( &rawtime );
+
+ strftime (buffer,80,"%Y-%m-%d--%H-%M-%S",timeinfo);
+ return "gpu_rec_level_" + itoa(level)+ "_" + std::string(buffer) + ".png";
+ }
+
+ static void print(std::ostream &out, const detection_t& d)
+ {
+ out << "\x1b[32m[ detection]\x1b[0m ("
+ << std::setw(4) << d.x
+ << " "
+ << std::setw(4) << d.y
+ << ") ("
+ << std::setw(4) << d.w
+ << " "
+ << std::setw(4) << d.h
+ << ") "
+ << std::setw(12) << d.confidence
+ << std::endl;
+ }
+
+ static void printTotal(std::ostream &out, int detbytes)
+ {
+ out << "\x1b[32m[ ]\x1b[0m Total detections " << (detbytes / sizeof(detection_t)) << std::endl;
+ }
+
+ static void writeResult(const cv::Mat& result, const int level)
+ {
+ std::string path = cv::tempfile(getImageName(level).c_str());
+ cv::imwrite(path, result);
+ std::cout << "\x1b[32m" << "[ ]" << std::endl << "[ stored in]"<< "\x1b[0m" << path << std::endl;
+ }
+};
+
+GPU_TEST_P(SoftCascadeTest, 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)))
+{
+ cv::Mat coloredCpu = cv::imread(cvtest::TS::ptr()->get_data_path() + GET_PARAM(1));
+ ASSERT_FALSE(coloredCpu.empty());
+
+ cv::gpu::SoftCascade cascade;
+ ASSERT_TRUE(cascade.load(cvtest::TS::ptr()->get_data_path() + GET_PARAM(0)));
+
+ GpuMat colored(coloredCpu), objectBoxes(1, 16384, 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));
+ GpuMat sub(rois, r);
+ sub.setTo(1);
+ }
+
+ cascade.detectMultiScale(colored, rois, objectBoxes);
+
+ ///
+ cv::Mat dt(objectBoxes);
+ typedef cv::gpu::SoftCascade::Detection detection_t;
+
+ detection_t* dts = (detection_t*)dt.data;
+ cv::Mat result(coloredCpu);
+
+ printTotal(std::cout, dt.cols);
+ for (int i = 0; i < (int)(dt.cols / sizeof(detection_t)); ++i)
+ {
+ detection_t d = dts[i];
+ print(std::cout, d);
+ cv::rectangle(result, cv::Rect(d.x, d.y, d.w, d.h), cv::Scalar(255, 0, 0, 255), 1);
+ }
+
+ SHOW(result);
+}
+
+GPU_TEST_P(SoftCascadeTest, detectInLevel,
+ 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, 47)
+ ))
+{
+ std::string xml = cvtest::TS::ptr()->get_data_path() + GET_PARAM(0);
+ cv::gpu::SoftCascade cascade;
+ ASSERT_TRUE(cascade.load(xml));
+
+ cv::Mat coloredCpu = cv::imread(cvtest::TS::ptr()->get_data_path() + GET_PARAM(1));
+ ASSERT_FALSE(coloredCpu.empty());
+
+ typedef cv::gpu::SoftCascade::Detection detection_t;
+ GpuMat colored(coloredCpu), objectBoxes(1, 100 * sizeof(detection_t), CV_8UC1), rois(cascade.getRoiSize(), CV_8UC1);
+ rois.setTo(1);
+
+ int level = GET_PARAM(2);
+ cascade.detectMultiScale(colored, rois, objectBoxes, 1, level);
+
+ cv::Mat dt(objectBoxes);
+
+ detection_t* dts = (detection_t*)dt.data;
+ cv::Mat result(coloredCpu);
+
+ printTotal(std::cout, dt.cols);
+ for (int i = 0; i < (int)(dt.cols / sizeof(detection_t)); ++i)
+ {
+ detection_t d = dts[i];
+ print(std::cout, d);
+ cv::rectangle(result, cv::Rect(d.x, d.y, d.w, d.h), cv::Scalar(255, 0, 0, 255), 1);
+ }
+
+ writeResult(result, level);
+ SHOW(result);
+}
+
+TEST(SoftCascadeTest, readCascade)
{
std::string xml = cvtest::TS::ptr()->get_data_path() + "../cv/cascadeandhog/icf-template.xml";
cv::gpu::SoftCascade cascade;
ASSERT_TRUE(cascade.load(xml));
-
}
-TEST(SoftCascade, detect)
+TEST(SoftCascadeTest, detect)
{
std::string xml = cvtest::TS::ptr()->get_data_path() + "../cv/cascadeandhog/sc_cvpr_2012_to_opencv.xml";
cv::gpu::SoftCascade cascade;
@@ -71,67 +248,4 @@ TEST(SoftCascade, detect)
cascade.detectMultiScale(colored, rois, objectBoxes);
}
-
-class SCSpecific : public ::testing::TestWithParam<std::tr1::tuple<std::string, int> > {
-};
-
-namespace {
-std::string itoa(long i)
-{
- static char s[65];
- sprintf(s, "%ld", i);
- return std::string(s);
-}
-}
-
-TEST_P(SCSpecific, detect)
-{
- std::string xml = cvtest::TS::ptr()->get_data_path() + "../cv/cascadeandhog/sc_cvpr_2012_to_opencv.xml";
- cv::gpu::SoftCascade cascade;
- ASSERT_TRUE(cascade.load(xml));
-
- std::string path = GET_PARAM(0);
- cv::Mat coloredCpu = cv::imread(cvtest::TS::ptr()->get_data_path() + path);
-
- ASSERT_FALSE(coloredCpu.empty());
- GpuMat colored(coloredCpu), objectBoxes(1, 1000, CV_8UC1), rois(cascade.getRoiSize(), CV_8UC1);
- rois.setTo(0);
- GpuMat sub(rois, cv::Rect(rois.cols / 4, rois.rows / 4,rois.cols / 2, rois.rows / 2));
- sub.setTo(cv::Scalar::all(1));
-
- int level = GET_PARAM(1);
- cascade.detectMultiScale(colored, rois, objectBoxes, 1, level);
-
- cv::Mat dt(objectBoxes);
- typedef cv::gpu::SoftCascade::Detection detection_t;
-
- detection_t* dts = (detection_t*)dt.data;
- cv::Mat result(coloredCpu);
-
-
- std::cout << "Total detections " << (dt.cols / sizeof(detection_t)) << std::endl;
- for(int i = 0; i < (int)(dt.cols / sizeof(detection_t)); ++i)
- {
- detection_t d = dts[i];
- std::cout << "detection: [" << std::setw(4) << d.x << " " << std::setw(4) << d.y
- << "] [" << std::setw(4) << d.w << " " << std::setw(4) << d.h << "] "
- << std::setw(12) << d.confidence << std::endl;
-
- cv::rectangle(result, cv::Rect(d.x, d.y, d.w, d.h), cv::Scalar(255, 0, 0, 255), 1);
- }
-
- std::cout << "Result stored in " << "/home/kellan/gpu_res_1_oct_" + itoa(level) << "_"
- + itoa((dt.cols / sizeof(detection_t))) + ".png" << std::endl;
- cv::imwrite("/home/kellan/gpu_res_1_oct_" + itoa(level) + "_" + itoa((dt.cols / sizeof(detection_t))) + ".png",
- result);
- cv::imshow("res", result);
- cv::waitKey(0);
-}
-
-INSTANTIATE_TEST_CASE_P(inLevel, SCSpecific,
- testing::Combine(
- testing::Values(std::string("../cv/cascadeandhog/bahnhof/image_00000000_0.png")),
- testing::Range(0, 47)
- ));
-
#endif
\ No newline at end of file