|
|
|
@ -347,3 +347,31 @@ TEST( Features2d_DescriptorExtractor_AKAZE, regression ) |
|
|
|
|
Hamming(), AKAZE::create()); |
|
|
|
|
test.safe_run(); |
|
|
|
|
} |
|
|
|
|
|
|
|
|
|
TEST( Features2d_DescriptorExtractor, batch ) |
|
|
|
|
{ |
|
|
|
|
string path = string(cvtest::TS::ptr()->get_data_path() + "detectors_descriptors_evaluation/images_datasets/graf"); |
|
|
|
|
vector<Mat> imgs, descriptors; |
|
|
|
|
vector<vector<KeyPoint> > keypoints; |
|
|
|
|
int i, n = 6; |
|
|
|
|
Ptr<ORB> orb = ORB::create(); |
|
|
|
|
|
|
|
|
|
for( i = 0; i < n; i++ ) |
|
|
|
|
{ |
|
|
|
|
string imgname = format("%s/img%d.png", path.c_str(), i+1); |
|
|
|
|
Mat img = imread(imgname, 0); |
|
|
|
|
imgs.push_back(img); |
|
|
|
|
} |
|
|
|
|
|
|
|
|
|
orb->detect(imgs, keypoints); |
|
|
|
|
orb->compute(imgs, keypoints, descriptors); |
|
|
|
|
|
|
|
|
|
ASSERT_EQ((int)keypoints.size(), n); |
|
|
|
|
ASSERT_EQ((int)descriptors.size(), n); |
|
|
|
|
|
|
|
|
|
for( i = 0; i < n; i++ ) |
|
|
|
|
{ |
|
|
|
|
EXPECT_GT((int)keypoints[i].size(), 100); |
|
|
|
|
EXPECT_GT(descriptors[i].rows, 100); |
|
|
|
|
} |
|
|
|
|
} |
|
|
|
|