f4334277
 Hu Chunming
提交3rdparty
|
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
|
// 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"
namespace opencv_test { namespace {
TEST(Features2d_AKAZE, detect_and_compute_split)
{
Mat testImg(100, 100, CV_8U);
RNG rng(101);
rng.fill(testImg, RNG::UNIFORM, Scalar(0), Scalar(255), true);
Ptr<Feature2D> ext = AKAZE::create(AKAZE::DESCRIPTOR_MLDB, 0, 3, 0.001f, 1, 1, KAZE::DIFF_PM_G2);
vector<KeyPoint> detAndCompKps;
Mat desc;
ext->detectAndCompute(testImg, noArray(), detAndCompKps, desc);
vector<KeyPoint> detKps;
ext->detect(testImg, detKps);
ASSERT_EQ(detKps.size(), detAndCompKps.size());
for(size_t i = 0; i < detKps.size(); i++)
ASSERT_EQ(detKps[i].hash(), detAndCompKps[i].hash());
}
/**
* This test is here to guard propagation of NaNs that happens on this image. NaNs are guarded
* by debug asserts in AKAZE, which should fire for you if you are lucky.
*
* This test also reveals problems with uninitialized memory that happens only on this image.
* This is very hard to hit and depends a lot on particular allocator. Run this test in valgrind and check
* for uninitialized values if you think you are hitting this problem again.
*/
TEST(Features2d_AKAZE, uninitialized_and_nans)
{
Mat b1 = imread(cvtest::TS::ptr()->get_data_path() + "../stitching/b1.png");
ASSERT_FALSE(b1.empty());
vector<KeyPoint> keypoints;
Mat desc;
Ptr<Feature2D> akaze = AKAZE::create();
akaze->detectAndCompute(b1, noArray(), keypoints, desc);
}
}} // namespace
|
