mirror of
https://github.com/opencv/opencv.git
synced 2024-12-02 07:39:57 +08:00
4a297a2443
- removed tr1 usage (dropped in C++17) - moved includes of vector/map/iostream/limits into ts.hpp - require opencv_test + anonymous namespace (added compile check) - fixed norm() usage (must be from cvtest::norm for checks) and other conflict functions - added missing license headers
193 lines
6.9 KiB
C++
193 lines
6.9 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 "test_invariance_utils.hpp"
|
|
|
|
namespace opencv_test { namespace {
|
|
|
|
#define SHOW_DEBUG_LOG 1
|
|
|
|
typedef tuple<std::string, Ptr<FeatureDetector>, Ptr<DescriptorExtractor>, float>
|
|
String_FeatureDetector_DescriptorExtractor_Float_t;
|
|
const static std::string IMAGE_TSUKUBA = "features2d/tsukuba.png";
|
|
const static std::string IMAGE_BIKES = "detectors_descriptors_evaluation/images_datasets/bikes/img1.png";
|
|
#define Value(...) Values(String_FeatureDetector_DescriptorExtractor_Float_t(__VA_ARGS__))
|
|
|
|
static
|
|
void rotateKeyPoints(const vector<KeyPoint>& src, const Mat& H, float angle, vector<KeyPoint>& dst)
|
|
{
|
|
// suppose that H is rotation given from rotateImage() and angle has value passed to rotateImage()
|
|
vector<Point2f> srcCenters, dstCenters;
|
|
KeyPoint::convert(src, srcCenters);
|
|
|
|
perspectiveTransform(srcCenters, dstCenters, H);
|
|
|
|
dst = src;
|
|
for(size_t i = 0; i < dst.size(); i++)
|
|
{
|
|
dst[i].pt = dstCenters[i];
|
|
float dstAngle = src[i].angle + angle;
|
|
if(dstAngle >= 360.f)
|
|
dstAngle -= 360.f;
|
|
dst[i].angle = dstAngle;
|
|
}
|
|
}
|
|
|
|
class DescriptorInvariance : public TestWithParam<String_FeatureDetector_DescriptorExtractor_Float_t>
|
|
{
|
|
protected:
|
|
virtual void SetUp() {
|
|
// Read test data
|
|
const std::string filename = cvtest::TS::ptr()->get_data_path() + get<0>(GetParam());
|
|
image0 = imread(filename);
|
|
ASSERT_FALSE(image0.empty()) << "couldn't read input image";
|
|
|
|
featureDetector = get<1>(GetParam());
|
|
descriptorExtractor = get<2>(GetParam());
|
|
minInliersRatio = get<3>(GetParam());
|
|
}
|
|
|
|
Ptr<FeatureDetector> featureDetector;
|
|
Ptr<DescriptorExtractor> descriptorExtractor;
|
|
float minInliersRatio;
|
|
Mat image0;
|
|
};
|
|
|
|
typedef DescriptorInvariance DescriptorScaleInvariance;
|
|
typedef DescriptorInvariance DescriptorRotationInvariance;
|
|
|
|
TEST_P(DescriptorRotationInvariance, rotation)
|
|
{
|
|
Mat image1, mask1;
|
|
const int borderSize = 16;
|
|
Mat mask0(image0.size(), CV_8UC1, Scalar(0));
|
|
mask0(Rect(borderSize, borderSize, mask0.cols - 2*borderSize, mask0.rows - 2*borderSize)).setTo(Scalar(255));
|
|
|
|
vector<KeyPoint> keypoints0;
|
|
Mat descriptors0;
|
|
featureDetector->detect(image0, keypoints0, mask0);
|
|
std::cout << "Keypoints: " << keypoints0.size() << std::endl;
|
|
EXPECT_GE(keypoints0.size(), 15u);
|
|
descriptorExtractor->compute(image0, keypoints0, descriptors0);
|
|
|
|
BFMatcher bfmatcher(descriptorExtractor->defaultNorm());
|
|
|
|
const float minIntersectRatio = 0.5f;
|
|
const int maxAngle = 360, angleStep = 15;
|
|
for(int angle = 0; angle < maxAngle; angle += angleStep)
|
|
{
|
|
Mat H = rotateImage(image0, mask0, static_cast<float>(angle), image1, mask1);
|
|
|
|
vector<KeyPoint> keypoints1;
|
|
rotateKeyPoints(keypoints0, H, static_cast<float>(angle), keypoints1);
|
|
Mat descriptors1;
|
|
descriptorExtractor->compute(image1, keypoints1, descriptors1);
|
|
|
|
vector<DMatch> descMatches;
|
|
bfmatcher.match(descriptors0, descriptors1, descMatches);
|
|
|
|
int descInliersCount = 0;
|
|
for(size_t m = 0; m < descMatches.size(); m++)
|
|
{
|
|
const KeyPoint& transformed_p0 = keypoints1[descMatches[m].queryIdx];
|
|
const KeyPoint& p1 = keypoints1[descMatches[m].trainIdx];
|
|
if(calcIntersectRatio(transformed_p0.pt, 0.5f * transformed_p0.size,
|
|
p1.pt, 0.5f * p1.size) >= minIntersectRatio)
|
|
{
|
|
descInliersCount++;
|
|
}
|
|
}
|
|
|
|
float descInliersRatio = static_cast<float>(descInliersCount) / keypoints0.size();
|
|
EXPECT_GE(descInliersRatio, minInliersRatio);
|
|
#if SHOW_DEBUG_LOG
|
|
std::cout
|
|
<< "angle = " << angle
|
|
<< ", inliers = " << descInliersCount
|
|
<< ", descInliersRatio = " << static_cast<float>(descInliersCount) / keypoints0.size()
|
|
<< std::endl;
|
|
#endif
|
|
}
|
|
}
|
|
|
|
|
|
TEST_P(DescriptorScaleInvariance, scale)
|
|
{
|
|
vector<KeyPoint> keypoints0;
|
|
featureDetector->detect(image0, keypoints0);
|
|
std::cout << "Keypoints: " << keypoints0.size() << std::endl;
|
|
EXPECT_GE(keypoints0.size(), 15u);
|
|
Mat descriptors0;
|
|
descriptorExtractor->compute(image0, keypoints0, descriptors0);
|
|
|
|
BFMatcher bfmatcher(descriptorExtractor->defaultNorm());
|
|
for(int scaleIdx = 1; scaleIdx <= 3; scaleIdx++)
|
|
{
|
|
float scale = 1.f + scaleIdx * 0.5f;
|
|
|
|
Mat image1;
|
|
resize(image0, image1, Size(), 1./scale, 1./scale, INTER_LINEAR_EXACT);
|
|
|
|
vector<KeyPoint> keypoints1;
|
|
scaleKeyPoints(keypoints0, keypoints1, 1.0f/scale);
|
|
Mat descriptors1;
|
|
descriptorExtractor->compute(image1, keypoints1, descriptors1);
|
|
|
|
vector<DMatch> descMatches;
|
|
bfmatcher.match(descriptors0, descriptors1, descMatches);
|
|
|
|
const float minIntersectRatio = 0.5f;
|
|
int descInliersCount = 0;
|
|
for(size_t m = 0; m < descMatches.size(); m++)
|
|
{
|
|
const KeyPoint& transformed_p0 = keypoints0[descMatches[m].queryIdx];
|
|
const KeyPoint& p1 = keypoints0[descMatches[m].trainIdx];
|
|
if(calcIntersectRatio(transformed_p0.pt, 0.5f * transformed_p0.size,
|
|
p1.pt, 0.5f * p1.size) >= minIntersectRatio)
|
|
{
|
|
descInliersCount++;
|
|
}
|
|
}
|
|
|
|
float descInliersRatio = static_cast<float>(descInliersCount) / keypoints0.size();
|
|
EXPECT_GE(descInliersRatio, minInliersRatio);
|
|
#if SHOW_DEBUG_LOG
|
|
std::cout
|
|
<< "scale = " << scale
|
|
<< ", inliers = " << descInliersCount
|
|
<< ", descInliersRatio = " << static_cast<float>(descInliersCount) / keypoints0.size()
|
|
<< std::endl;
|
|
#endif
|
|
}
|
|
}
|
|
|
|
/*
|
|
* Descriptors's rotation invariance check
|
|
*/
|
|
|
|
INSTANTIATE_TEST_CASE_P(BRISK, DescriptorRotationInvariance,
|
|
Value(IMAGE_TSUKUBA, BRISK::create(), BRISK::create(), 0.99f));
|
|
|
|
INSTANTIATE_TEST_CASE_P(ORB, DescriptorRotationInvariance,
|
|
Value(IMAGE_TSUKUBA, ORB::create(), ORB::create(), 0.99f));
|
|
|
|
INSTANTIATE_TEST_CASE_P(AKAZE, DescriptorRotationInvariance,
|
|
Value(IMAGE_TSUKUBA, AKAZE::create(), AKAZE::create(), 0.99f));
|
|
|
|
INSTANTIATE_TEST_CASE_P(AKAZE_DESCRIPTOR_KAZE, DescriptorRotationInvariance,
|
|
Value(IMAGE_TSUKUBA, AKAZE::create(AKAZE::DESCRIPTOR_KAZE), AKAZE::create(AKAZE::DESCRIPTOR_KAZE), 0.99f));
|
|
|
|
/*
|
|
* Descriptor's scale invariance check
|
|
*/
|
|
|
|
INSTANTIATE_TEST_CASE_P(AKAZE, DescriptorScaleInvariance,
|
|
Value(IMAGE_BIKES, AKAZE::create(), AKAZE::create(), 0.6f));
|
|
|
|
INSTANTIATE_TEST_CASE_P(AKAZE_DESCRIPTOR_KAZE, DescriptorScaleInvariance,
|
|
Value(IMAGE_BIKES, AKAZE::create(AKAZE::DESCRIPTOR_KAZE), AKAZE::create(AKAZE::DESCRIPTOR_KAZE), 0.55f));
|
|
|
|
}} // namespace
|