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refactor CUDA ORB feature detector/extractor algorithm:

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use new abstract interface and hidden implementation
This commit is contained in:
Vladislav Vinogradov
2015-01-13 10:40:58 +03:00
parent 554ddd2ec4
commit f960a5707d
5 changed files with 447 additions and 442 deletions
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6
modules/cudafeatures2d/perf/perf_features2d.cpp
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@@ -109,15 +109,15 @@ PERF_TEST_P(Image_NFeatures, ORB,
if (PERF_RUN_CUDA())
{
cv::cuda::ORB_CUDA d_orb(nFeatures);
cv::Ptr<cv::cuda::ORB> d_orb = cv::cuda::ORB::create(nFeatures);
const cv::cuda::GpuMat d_img(img);
cv::cuda::GpuMat d_keypoints, d_descriptors;
TEST_CYCLE() d_orb(d_img, cv::cuda::GpuMat(), d_keypoints, d_descriptors);
TEST_CYCLE() d_orb->detectAndComputeAsync(d_img, cv::noArray(), d_keypoints, d_descriptors);
std::vector<cv::KeyPoint> gpu_keypoints;
d_orb.downloadKeyPoints(d_keypoints, gpu_keypoints);
d_orb->convert(d_keypoints, gpu_keypoints);
cv::Mat gpu_descriptors(d_descriptors);