mirror of
https://github.com/opencv/opencv.git
synced 2025-01-19 06:53:50 +08:00
Merge pull request #735 from jet47:fix-windows-issues
This commit is contained in:
commit
baa4882a2a
@ -530,7 +530,8 @@ int CV_StereoMatchingTest::processStereoMatchingResults( FileStorage& fs, int ca
|
|||||||
// rightDisp is not used in current test virsion
|
// rightDisp is not used in current test virsion
|
||||||
int code = cvtest::TS::OK;
|
int code = cvtest::TS::OK;
|
||||||
assert( fs.isOpened() );
|
assert( fs.isOpened() );
|
||||||
assert( trueLeftDisp.type() == CV_32FC1 && trueRightDisp.type() == CV_32FC1 );
|
assert( trueLeftDisp.type() == CV_32FC1 );
|
||||||
|
assert( trueRightDisp.empty() || trueRightDisp.type() == CV_32FC1 );
|
||||||
assert( leftDisp.type() == CV_32FC1 && rightDisp.type() == CV_32FC1 );
|
assert( leftDisp.type() == CV_32FC1 && rightDisp.type() == CV_32FC1 );
|
||||||
|
|
||||||
// get masks for unknown ground truth disparity values
|
// get masks for unknown ground truth disparity values
|
||||||
|
@ -223,6 +223,9 @@ namespace
|
|||||||
}
|
}
|
||||||
|
|
||||||
private:
|
private:
|
||||||
|
SURF_GPU_Invoker(const SURF_GPU_Invoker&);
|
||||||
|
SURF_GPU_Invoker& operator =(const SURF_GPU_Invoker&);
|
||||||
|
|
||||||
SURF_GPU& surf_;
|
SURF_GPU& surf_;
|
||||||
|
|
||||||
int img_cols, img_rows;
|
int img_cols, img_rows;
|
||||||
|
@ -58,9 +58,8 @@ namespace
|
|||||||
IMPLEMENT_PARAM_CLASS(SURF_Upright, bool)
|
IMPLEMENT_PARAM_CLASS(SURF_Upright, bool)
|
||||||
}
|
}
|
||||||
|
|
||||||
PARAM_TEST_CASE(SURF, cv::gpu::DeviceInfo, SURF_HessianThreshold, SURF_Octaves, SURF_OctaveLayers, SURF_Extended, SURF_Upright)
|
PARAM_TEST_CASE(SURF, SURF_HessianThreshold, SURF_Octaves, SURF_OctaveLayers, SURF_Extended, SURF_Upright)
|
||||||
{
|
{
|
||||||
cv::gpu::DeviceInfo devInfo;
|
|
||||||
double hessianThreshold;
|
double hessianThreshold;
|
||||||
int nOctaves;
|
int nOctaves;
|
||||||
int nOctaveLayers;
|
int nOctaveLayers;
|
||||||
@ -69,14 +68,11 @@ PARAM_TEST_CASE(SURF, cv::gpu::DeviceInfo, SURF_HessianThreshold, SURF_Octaves,
|
|||||||
|
|
||||||
virtual void SetUp()
|
virtual void SetUp()
|
||||||
{
|
{
|
||||||
devInfo = GET_PARAM(0);
|
hessianThreshold = GET_PARAM(0);
|
||||||
hessianThreshold = GET_PARAM(1);
|
nOctaves = GET_PARAM(1);
|
||||||
nOctaves = GET_PARAM(2);
|
nOctaveLayers = GET_PARAM(2);
|
||||||
nOctaveLayers = GET_PARAM(3);
|
extended = GET_PARAM(3);
|
||||||
extended = GET_PARAM(4);
|
upright = GET_PARAM(4);
|
||||||
upright = GET_PARAM(5);
|
|
||||||
|
|
||||||
cv::gpu::setDevice(devInfo.deviceID());
|
|
||||||
}
|
}
|
||||||
};
|
};
|
||||||
|
|
||||||
@ -93,39 +89,24 @@ GPU_TEST_P(SURF, Detector)
|
|||||||
surf.upright = upright;
|
surf.upright = upright;
|
||||||
surf.keypointsRatio = 0.05f;
|
surf.keypointsRatio = 0.05f;
|
||||||
|
|
||||||
if (!supportFeature(devInfo, cv::gpu::GLOBAL_ATOMICS))
|
std::vector<cv::KeyPoint> keypoints;
|
||||||
{
|
surf(loadMat(image), cv::gpu::GpuMat(), keypoints);
|
||||||
try
|
|
||||||
{
|
|
||||||
std::vector<cv::KeyPoint> keypoints;
|
|
||||||
surf(loadMat(image), cv::gpu::GpuMat(), keypoints);
|
|
||||||
}
|
|
||||||
catch (const cv::Exception& e)
|
|
||||||
{
|
|
||||||
ASSERT_EQ(CV_StsNotImplemented, e.code);
|
|
||||||
}
|
|
||||||
}
|
|
||||||
else
|
|
||||||
{
|
|
||||||
std::vector<cv::KeyPoint> keypoints;
|
|
||||||
surf(loadMat(image), cv::gpu::GpuMat(), keypoints);
|
|
||||||
|
|
||||||
cv::SURF surf_gold;
|
cv::SURF surf_gold;
|
||||||
surf_gold.hessianThreshold = hessianThreshold;
|
surf_gold.hessianThreshold = hessianThreshold;
|
||||||
surf_gold.nOctaves = nOctaves;
|
surf_gold.nOctaves = nOctaves;
|
||||||
surf_gold.nOctaveLayers = nOctaveLayers;
|
surf_gold.nOctaveLayers = nOctaveLayers;
|
||||||
surf_gold.extended = extended;
|
surf_gold.extended = extended;
|
||||||
surf_gold.upright = upright;
|
surf_gold.upright = upright;
|
||||||
|
|
||||||
std::vector<cv::KeyPoint> keypoints_gold;
|
std::vector<cv::KeyPoint> keypoints_gold;
|
||||||
surf_gold(image, cv::noArray(), keypoints_gold);
|
surf_gold(image, cv::noArray(), keypoints_gold);
|
||||||
|
|
||||||
ASSERT_EQ(keypoints_gold.size(), keypoints.size());
|
ASSERT_EQ(keypoints_gold.size(), keypoints.size());
|
||||||
int matchedCount = getMatchedPointsCount(keypoints_gold, keypoints);
|
int matchedCount = getMatchedPointsCount(keypoints_gold, keypoints);
|
||||||
double matchedRatio = static_cast<double>(matchedCount) / keypoints_gold.size();
|
double matchedRatio = static_cast<double>(matchedCount) / keypoints_gold.size();
|
||||||
|
|
||||||
EXPECT_GT(matchedRatio, 0.95);
|
EXPECT_GT(matchedRatio, 0.95);
|
||||||
}
|
|
||||||
}
|
}
|
||||||
|
|
||||||
GPU_TEST_P(SURF, Detector_Masked)
|
GPU_TEST_P(SURF, Detector_Masked)
|
||||||
@ -144,39 +125,24 @@ GPU_TEST_P(SURF, Detector_Masked)
|
|||||||
surf.upright = upright;
|
surf.upright = upright;
|
||||||
surf.keypointsRatio = 0.05f;
|
surf.keypointsRatio = 0.05f;
|
||||||
|
|
||||||
if (!supportFeature(devInfo, cv::gpu::GLOBAL_ATOMICS))
|
std::vector<cv::KeyPoint> keypoints;
|
||||||
{
|
surf(loadMat(image), loadMat(mask), keypoints);
|
||||||
try
|
|
||||||
{
|
|
||||||
std::vector<cv::KeyPoint> keypoints;
|
|
||||||
surf(loadMat(image), loadMat(mask), keypoints);
|
|
||||||
}
|
|
||||||
catch (const cv::Exception& e)
|
|
||||||
{
|
|
||||||
ASSERT_EQ(CV_StsNotImplemented, e.code);
|
|
||||||
}
|
|
||||||
}
|
|
||||||
else
|
|
||||||
{
|
|
||||||
std::vector<cv::KeyPoint> keypoints;
|
|
||||||
surf(loadMat(image), loadMat(mask), keypoints);
|
|
||||||
|
|
||||||
cv::SURF surf_gold;
|
cv::SURF surf_gold;
|
||||||
surf_gold.hessianThreshold = hessianThreshold;
|
surf_gold.hessianThreshold = hessianThreshold;
|
||||||
surf_gold.nOctaves = nOctaves;
|
surf_gold.nOctaves = nOctaves;
|
||||||
surf_gold.nOctaveLayers = nOctaveLayers;
|
surf_gold.nOctaveLayers = nOctaveLayers;
|
||||||
surf_gold.extended = extended;
|
surf_gold.extended = extended;
|
||||||
surf_gold.upright = upright;
|
surf_gold.upright = upright;
|
||||||
|
|
||||||
std::vector<cv::KeyPoint> keypoints_gold;
|
std::vector<cv::KeyPoint> keypoints_gold;
|
||||||
surf_gold(image, mask, keypoints_gold);
|
surf_gold(image, mask, keypoints_gold);
|
||||||
|
|
||||||
ASSERT_EQ(keypoints_gold.size(), keypoints.size());
|
ASSERT_EQ(keypoints_gold.size(), keypoints.size());
|
||||||
int matchedCount = getMatchedPointsCount(keypoints_gold, keypoints);
|
int matchedCount = getMatchedPointsCount(keypoints_gold, keypoints);
|
||||||
double matchedRatio = static_cast<double>(matchedCount) / keypoints_gold.size();
|
double matchedRatio = static_cast<double>(matchedCount) / keypoints_gold.size();
|
||||||
|
|
||||||
EXPECT_GT(matchedRatio, 0.95);
|
EXPECT_GT(matchedRatio, 0.95);
|
||||||
}
|
|
||||||
}
|
}
|
||||||
|
|
||||||
GPU_TEST_P(SURF, Descriptor)
|
GPU_TEST_P(SURF, Descriptor)
|
||||||
@ -199,43 +165,26 @@ GPU_TEST_P(SURF, Descriptor)
|
|||||||
surf_gold.extended = extended;
|
surf_gold.extended = extended;
|
||||||
surf_gold.upright = upright;
|
surf_gold.upright = upright;
|
||||||
|
|
||||||
if (!supportFeature(devInfo, cv::gpu::GLOBAL_ATOMICS))
|
std::vector<cv::KeyPoint> keypoints;
|
||||||
{
|
surf_gold(image, cv::noArray(), keypoints);
|
||||||
try
|
|
||||||
{
|
|
||||||
std::vector<cv::KeyPoint> keypoints;
|
|
||||||
cv::gpu::GpuMat descriptors;
|
|
||||||
surf(loadMat(image), cv::gpu::GpuMat(), keypoints, descriptors);
|
|
||||||
}
|
|
||||||
catch (const cv::Exception& e)
|
|
||||||
{
|
|
||||||
ASSERT_EQ(CV_StsNotImplemented, e.code);
|
|
||||||
}
|
|
||||||
}
|
|
||||||
else
|
|
||||||
{
|
|
||||||
std::vector<cv::KeyPoint> keypoints;
|
|
||||||
surf_gold(image, cv::noArray(), keypoints);
|
|
||||||
|
|
||||||
cv::gpu::GpuMat descriptors;
|
cv::gpu::GpuMat descriptors;
|
||||||
surf(loadMat(image), cv::gpu::GpuMat(), keypoints, descriptors, true);
|
surf(loadMat(image), cv::gpu::GpuMat(), keypoints, descriptors, true);
|
||||||
|
|
||||||
cv::Mat descriptors_gold;
|
cv::Mat descriptors_gold;
|
||||||
surf_gold(image, cv::noArray(), keypoints, descriptors_gold, true);
|
surf_gold(image, cv::noArray(), keypoints, descriptors_gold, true);
|
||||||
|
|
||||||
cv::BFMatcher matcher(cv::NORM_L2);
|
cv::BFMatcher matcher(cv::NORM_L2);
|
||||||
std::vector<cv::DMatch> matches;
|
std::vector<cv::DMatch> matches;
|
||||||
matcher.match(descriptors_gold, cv::Mat(descriptors), matches);
|
matcher.match(descriptors_gold, cv::Mat(descriptors), matches);
|
||||||
|
|
||||||
int matchedCount = getMatchedPointsCount(keypoints, keypoints, matches);
|
int matchedCount = getMatchedPointsCount(keypoints, keypoints, matches);
|
||||||
double matchedRatio = static_cast<double>(matchedCount) / keypoints.size();
|
double matchedRatio = static_cast<double>(matchedCount) / keypoints.size();
|
||||||
|
|
||||||
EXPECT_GT(matchedRatio, 0.6);
|
EXPECT_GT(matchedRatio, 0.6);
|
||||||
}
|
|
||||||
}
|
}
|
||||||
|
|
||||||
INSTANTIATE_TEST_CASE_P(GPU_Features2D, SURF, testing::Combine(
|
INSTANTIATE_TEST_CASE_P(GPU_Features2D, SURF, testing::Combine(
|
||||||
ALL_DEVICES,
|
|
||||||
testing::Values(SURF_HessianThreshold(100.0), SURF_HessianThreshold(500.0), SURF_HessianThreshold(1000.0)),
|
testing::Values(SURF_HessianThreshold(100.0), SURF_HessianThreshold(500.0), SURF_HessianThreshold(1000.0)),
|
||||||
testing::Values(SURF_Octaves(3), SURF_Octaves(4)),
|
testing::Values(SURF_Octaves(3), SURF_Octaves(4)),
|
||||||
testing::Values(SURF_OctaveLayers(2), SURF_OctaveLayers(3)),
|
testing::Values(SURF_OctaveLayers(2), SURF_OctaveLayers(3)),
|
||||||
@ -245,17 +194,15 @@ INSTANTIATE_TEST_CASE_P(GPU_Features2D, SURF, testing::Combine(
|
|||||||
//////////////////////////////////////////////////////
|
//////////////////////////////////////////////////////
|
||||||
// VIBE
|
// VIBE
|
||||||
|
|
||||||
PARAM_TEST_CASE(VIBE, cv::gpu::DeviceInfo, cv::Size, MatType, UseRoi)
|
PARAM_TEST_CASE(VIBE, cv::Size, MatType, UseRoi)
|
||||||
{
|
{
|
||||||
};
|
};
|
||||||
|
|
||||||
GPU_TEST_P(VIBE, Accuracy)
|
GPU_TEST_P(VIBE, Accuracy)
|
||||||
{
|
{
|
||||||
const cv::gpu::DeviceInfo devInfo = GET_PARAM(0);
|
const cv::Size size = GET_PARAM(0);
|
||||||
cv::gpu::setDevice(devInfo.deviceID());
|
const int type = GET_PARAM(1);
|
||||||
const cv::Size size = GET_PARAM(1);
|
const bool useRoi = GET_PARAM(2);
|
||||||
const int type = GET_PARAM(2);
|
|
||||||
const bool useRoi = GET_PARAM(3);
|
|
||||||
|
|
||||||
const cv::Mat fullfg(size, CV_8UC1, cv::Scalar::all(255));
|
const cv::Mat fullfg(size, CV_8UC1, cv::Scalar::all(255));
|
||||||
|
|
||||||
@ -278,7 +225,6 @@ GPU_TEST_P(VIBE, Accuracy)
|
|||||||
}
|
}
|
||||||
|
|
||||||
INSTANTIATE_TEST_CASE_P(GPU_Video, VIBE, testing::Combine(
|
INSTANTIATE_TEST_CASE_P(GPU_Video, VIBE, testing::Combine(
|
||||||
ALL_DEVICES,
|
|
||||||
DIFFERENT_SIZES,
|
DIFFERENT_SIZES,
|
||||||
testing::Values(MatType(CV_8UC1), MatType(CV_8UC3), MatType(CV_8UC4)),
|
testing::Values(MatType(CV_8UC1), MatType(CV_8UC3), MatType(CV_8UC4)),
|
||||||
WHOLE_SUBMAT));
|
WHOLE_SUBMAT));
|
||||||
|
@ -1,73 +1,3 @@
|
|||||||
#include "test_precomp.hpp"
|
#include "test_precomp.hpp"
|
||||||
|
|
||||||
#if defined(HAVE_OPENCV_GPU) && defined(HAVE_CUDA)
|
|
||||||
|
|
||||||
using namespace cv;
|
|
||||||
using namespace cv::gpu;
|
|
||||||
using namespace cvtest;
|
|
||||||
using namespace testing;
|
|
||||||
|
|
||||||
int main(int argc, char **argv)
|
|
||||||
{
|
|
||||||
try
|
|
||||||
{
|
|
||||||
const char* keys =
|
|
||||||
"{ h | help ? | false | Print help}"
|
|
||||||
"{ i | info | false | Print information about system and exit }"
|
|
||||||
"{ d | device | -1 | Device on which tests will be executed (-1 means all devices) }"
|
|
||||||
;
|
|
||||||
|
|
||||||
CommandLineParser cmd(argc, (const char**)argv, keys);
|
|
||||||
|
|
||||||
if (cmd.get<bool>("help"))
|
|
||||||
{
|
|
||||||
cmd.printParams();
|
|
||||||
return 0;
|
|
||||||
}
|
|
||||||
|
|
||||||
printCudaInfo();
|
|
||||||
|
|
||||||
if (cmd.get<bool>("info"))
|
|
||||||
{
|
|
||||||
return 0;
|
|
||||||
}
|
|
||||||
|
|
||||||
int device = cmd.get<int>("device");
|
|
||||||
if (device < 0)
|
|
||||||
{
|
|
||||||
DeviceManager::instance().loadAll();
|
|
||||||
|
|
||||||
std::cout << "Run tests on all supported devices \n" << std::endl;
|
|
||||||
}
|
|
||||||
else
|
|
||||||
{
|
|
||||||
DeviceManager::instance().load(device);
|
|
||||||
|
|
||||||
DeviceInfo info(device);
|
|
||||||
std::cout << "Run tests on device " << device << " [" << info.name() << "] \n" << std::endl;
|
|
||||||
}
|
|
||||||
|
|
||||||
TS::ptr()->init("cv");
|
|
||||||
InitGoogleTest(&argc, argv);
|
|
||||||
|
|
||||||
return RUN_ALL_TESTS();
|
|
||||||
}
|
|
||||||
catch (const std::exception& e)
|
|
||||||
{
|
|
||||||
std::cerr << e.what() << std::endl;
|
|
||||||
return -1;
|
|
||||||
}
|
|
||||||
catch (...)
|
|
||||||
{
|
|
||||||
std::cerr << "Unknown error" << std::endl;
|
|
||||||
return -1;
|
|
||||||
}
|
|
||||||
|
|
||||||
return 0;
|
|
||||||
}
|
|
||||||
|
|
||||||
#else // HAVE_CUDA
|
|
||||||
|
|
||||||
CV_TEST_MAIN("cv")
|
CV_TEST_MAIN("cv")
|
||||||
|
|
||||||
#endif // HAVE_CUDA
|
|
||||||
|
@ -14,14 +14,16 @@
|
|||||||
#include "opencv2/highgui/highgui.hpp"
|
#include "opencv2/highgui/highgui.hpp"
|
||||||
#include "opencv2/nonfree/nonfree.hpp"
|
#include "opencv2/nonfree/nonfree.hpp"
|
||||||
|
|
||||||
|
#include "opencv2/ts/gpu_test.hpp"
|
||||||
|
|
||||||
#include "opencv2/opencv_modules.hpp"
|
#include "opencv2/opencv_modules.hpp"
|
||||||
|
|
||||||
#ifdef HAVE_OPENCV_OCL
|
#ifdef HAVE_OPENCV_OCL
|
||||||
# include "opencv2/nonfree/ocl.hpp"
|
# include "opencv2/nonfree/ocl.hpp"
|
||||||
#endif
|
#endif
|
||||||
|
|
||||||
#if defined(HAVE_OPENCV_GPU) && defined(HAVE_CUDA)
|
#ifdef HAVE_OPENCV_GPU
|
||||||
#include "opencv2/ts/gpu_test.hpp"
|
# include "opencv2/nonfree/gpu.hpp"
|
||||||
#include "opencv2/nonfree/gpu.hpp"
|
|
||||||
#endif
|
#endif
|
||||||
|
|
||||||
#endif
|
#endif
|
||||||
|
@ -109,17 +109,6 @@ static int getMatchedPointsCount(const std::vector<cv::KeyPoint>& keypoints1, co
|
|||||||
return validCount;
|
return validCount;
|
||||||
}
|
}
|
||||||
|
|
||||||
#define PARAM_TEST_CASE(name, ...) struct name : testing::TestWithParam< std::tr1::tuple< __VA_ARGS__ > >
|
|
||||||
#define IMPLEMENT_PARAM_CLASS(name, type) \
|
|
||||||
namespace { class name { \
|
|
||||||
public: \
|
|
||||||
name ( type arg = type ()) : val_(arg) {} \
|
|
||||||
operator type () const {return val_;} \
|
|
||||||
private: \
|
|
||||||
type val_; \
|
|
||||||
}; \
|
|
||||||
inline void PrintTo( name param, std::ostream* os) {*os << #name << "=" << testing::PrintToString(static_cast< type >(param));}}
|
|
||||||
|
|
||||||
IMPLEMENT_PARAM_CLASS(HessianThreshold, double)
|
IMPLEMENT_PARAM_CLASS(HessianThreshold, double)
|
||||||
IMPLEMENT_PARAM_CLASS(Octaves, int)
|
IMPLEMENT_PARAM_CLASS(Octaves, int)
|
||||||
IMPLEMENT_PARAM_CLASS(OctaveLayers, int)
|
IMPLEMENT_PARAM_CLASS(OctaveLayers, int)
|
||||||
|
@ -48,8 +48,6 @@ static Ptr<DenseOpticalFlowExt> createOptFlow(const string& name, bool useGpu)
|
|||||||
cerr << "Incorrect Optical Flow algorithm - " << name << endl;
|
cerr << "Incorrect Optical Flow algorithm - " << name << endl;
|
||||||
exit(-1);
|
exit(-1);
|
||||||
}
|
}
|
||||||
|
|
||||||
return Ptr<DenseOpticalFlowExt>();
|
|
||||||
}
|
}
|
||||||
|
|
||||||
int main(int argc, const char* argv[])
|
int main(int argc, const char* argv[])
|
||||||
|
Loading…
Reference in New Issue
Block a user