OpenCV_4.2.0/opencv-4.2.0/modules/features2d/test/ocl/test_feature2d.cpp

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2.0 KiB
C++

// This file is part of OpenCV project.
// It is subject to the license terms in the LICENSE file found in the top-level directory
// of this distribution and at http://opencv.org/license.html
#include "../test_precomp.hpp"
#include "cvconfig.h"
#include "opencv2/ts/ocl_test.hpp"
#ifdef HAVE_OPENCL
namespace opencv_test {
namespace ocl {
#define TEST_IMAGES testing::Values(\
"detectors_descriptors_evaluation/images_datasets/leuven/img1.png",\
"../stitching/a3.png", \
"../stitching/s2.jpg")
PARAM_TEST_CASE(Feature2DFixture, Ptr<Feature2D>, std::string)
{
std::string filename;
Mat image, descriptors;
vector<KeyPoint> keypoints;
UMat uimage, udescriptors;
vector<KeyPoint> ukeypoints;
Ptr<Feature2D> feature;
virtual void SetUp()
{
feature = GET_PARAM(0);
filename = GET_PARAM(1);
image = readImage(filename);
ASSERT_FALSE(image.empty());
image.copyTo(uimage);
OCL_OFF(feature->detect(image, keypoints));
OCL_ON(feature->detect(uimage, ukeypoints));
// note: we use keypoints from CPU for GPU too, to test descriptors separately
OCL_OFF(feature->compute(image, keypoints, descriptors));
OCL_ON(feature->compute(uimage, keypoints, udescriptors));
}
};
OCL_TEST_P(Feature2DFixture, KeypointsSame)
{
EXPECT_EQ(keypoints.size(), ukeypoints.size());
for (size_t i = 0; i < keypoints.size(); ++i)
{
EXPECT_GE(KeyPoint::overlap(keypoints[i], ukeypoints[i]), 0.95);
EXPECT_NEAR(keypoints[i].angle, ukeypoints[i].angle, 0.001);
}
}
OCL_TEST_P(Feature2DFixture, DescriptorsSame)
{
EXPECT_MAT_NEAR(descriptors, udescriptors, 0.001);
}
OCL_INSTANTIATE_TEST_CASE_P(AKAZE, Feature2DFixture,
testing::Combine(testing::Values(AKAZE::create()), TEST_IMAGES));
OCL_INSTANTIATE_TEST_CASE_P(AKAZE_DESCRIPTOR_KAZE, Feature2DFixture,
testing::Combine(testing::Values(AKAZE::create(AKAZE::DESCRIPTOR_KAZE)), TEST_IMAGES));
}//ocl
}//cvtest
#endif //HAVE_OPENCL