mirror of
https://github.com/opencv/opencv.git
synced 2024-12-26 10:48:12 +08:00
5f20e802d2
[GSOC] Speeding-up AKAZE, part #1 (#8869)
* ts: expand arguments before stringifications in CV_ENUM and CV_FLAGS
added protective macros to always force macro expansion of arguments. This allows using CV_ENUM and CV_FLAGS with macro arguments.
* feature2d: unify perf test
use the same test for all detectors/descriptors we have.
* added AKAZE tests
* features2d: extend perf tests
* add BRISK, KAZE, MSER
* run all extract tests on AKAZE keypoints, so that the test si more comparable for the speed of extraction
* feature2d: rework opencl perf tests
use the same configuration as cpu tests
* feature2d: fix descriptors allocation for AKAZE and KAZE
fix crash when descriptors are UMat
* feature2d: name enum to fix build with older gcc
* Revert "ts: expand arguments before stringifications in CV_ENUM and CV_FLAGS"
This reverts commit 19538cac1e.
This wasn't a great idea after all. There is a lot of flags implemented as #define, that we don't want to expand.
* feature2d: fix expansion problems with CV_ENUM in perf
* expand arguments before passing them to CV_ENUM. This does not need modifications of CV_ENUM.
* added include guards to `perf_feature2d.hpp`
* feature2d: fix crash in AKAZE when using KAZE descriptors
* out-of-bound access in Get_MSURF_Descriptor_64
* this happened reliably when running on provided keypoints (not computed by the same instance)
* feature2d: added regression tests for AKAZE
* test with both MLDB and KAZE keypoints
* feature2d: do not compute keypoints orientation twice
* always compute keypoints orientation, when computing keypoints
* do not recompute keypoint orientation when computing descriptors
this allows to test detection and extraction separately
* features2d: fix crash in AKAZE
* out-of-bound reads near the image edge
* same as the bug in KAZE descriptors
* feature2d: refactor invariance testing
* split detectors and descriptors tests
* rewrite to google test to simplify debugging
* add tests for AKAZE and one test for ORB
* stitching: add tests with AKAZE feature finder
* added basic stitching cpu and ocl tests
* fix bug in AKAZE wrapper for stitching pipeline causing lots of
! OPENCV warning: getUMat()/getMat() call chain possible problem.
! Base object is dead, while nested/derived object is still alive or processed.
! Please check lifetime of UMat/Mat objects!
93 lines
2.8 KiB
C++
93 lines
2.8 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
|
|
|
|
#ifndef __OPENCV_TEST_INVARIANCE_UTILS_HPP__
|
|
#define __OPENCV_TEST_INVARIANCE_UTILS_HPP__
|
|
|
|
#include "test_precomp.hpp"
|
|
|
|
using namespace std;
|
|
using namespace cv;
|
|
|
|
static
|
|
Mat generateHomography(float angle)
|
|
{
|
|
// angle - rotation around Oz in degrees
|
|
float angleRadian = static_cast<float>(angle * CV_PI / 180);
|
|
Mat H = Mat::eye(3, 3, CV_32FC1);
|
|
H.at<float>(0,0) = H.at<float>(1,1) = std::cos(angleRadian);
|
|
H.at<float>(0,1) = -std::sin(angleRadian);
|
|
H.at<float>(1,0) = std::sin(angleRadian);
|
|
|
|
return H;
|
|
}
|
|
|
|
static
|
|
Mat rotateImage(const Mat& srcImage, const Mat& srcMask, float angle, Mat& dstImage, Mat& dstMask)
|
|
{
|
|
// angle - rotation around Oz in degrees
|
|
float diag = std::sqrt(static_cast<float>(srcImage.cols * srcImage.cols + srcImage.rows * srcImage.rows));
|
|
Mat LUShift = Mat::eye(3, 3, CV_32FC1); // left up
|
|
LUShift.at<float>(0,2) = static_cast<float>(-srcImage.cols/2);
|
|
LUShift.at<float>(1,2) = static_cast<float>(-srcImage.rows/2);
|
|
Mat RDShift = Mat::eye(3, 3, CV_32FC1); // right down
|
|
RDShift.at<float>(0,2) = diag/2;
|
|
RDShift.at<float>(1,2) = diag/2;
|
|
Size sz(cvRound(diag), cvRound(diag));
|
|
|
|
Mat H = RDShift * generateHomography(angle) * LUShift;
|
|
warpPerspective(srcImage, dstImage, H, sz);
|
|
warpPerspective(srcMask, dstMask, H, sz);
|
|
|
|
return H;
|
|
}
|
|
|
|
static
|
|
float calcCirclesIntersectArea(const Point2f& p0, float r0, const Point2f& p1, float r1)
|
|
{
|
|
float c = static_cast<float>(norm(p0 - p1)), sqr_c = c * c;
|
|
|
|
float sqr_r0 = r0 * r0;
|
|
float sqr_r1 = r1 * r1;
|
|
|
|
if(r0 + r1 <= c)
|
|
return 0;
|
|
|
|
float minR = std::min(r0, r1);
|
|
float maxR = std::max(r0, r1);
|
|
if(c + minR <= maxR)
|
|
return static_cast<float>(CV_PI * minR * minR);
|
|
|
|
float cos_halfA0 = (sqr_r0 + sqr_c - sqr_r1) / (2 * r0 * c);
|
|
float cos_halfA1 = (sqr_r1 + sqr_c - sqr_r0) / (2 * r1 * c);
|
|
|
|
float A0 = 2 * acos(cos_halfA0);
|
|
float A1 = 2 * acos(cos_halfA1);
|
|
|
|
return 0.5f * sqr_r0 * (A0 - sin(A0)) +
|
|
0.5f * sqr_r1 * (A1 - sin(A1));
|
|
}
|
|
|
|
static
|
|
float calcIntersectRatio(const Point2f& p0, float r0, const Point2f& p1, float r1)
|
|
{
|
|
float intersectArea = calcCirclesIntersectArea(p0, r0, p1, r1);
|
|
float unionArea = static_cast<float>(CV_PI) * (r0 * r0 + r1 * r1) - intersectArea;
|
|
return intersectArea / unionArea;
|
|
}
|
|
|
|
static
|
|
void scaleKeyPoints(const vector<KeyPoint>& src, vector<KeyPoint>& dst, float scale)
|
|
{
|
|
dst.resize(src.size());
|
|
for (size_t i = 0; i < src.size(); i++) {
|
|
dst[i] = src[i];
|
|
dst[i].pt.x *= scale;
|
|
dst[i].pt.y *= scale;
|
|
dst[i].size *= scale;
|
|
}
|
|
}
|
|
|
|
#endif // __OPENCV_TEST_INVARIANCE_UTILS_HPP__
|