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@ -40,7 +40,6 @@ |
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//M*/
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#include "test_precomp.hpp" |
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#include "opencv2/opencv_modules.hpp" |
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namespace opencv_test { namespace { |
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@ -89,18 +88,27 @@ TEST(ParallelFeaturesFinder, IsSameWithSerial) |
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Ptr<Feature2D> serial_finder = ORB::create(); |
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Mat img = imread(string(cvtest::TS::ptr()->get_data_path()) + "stitching/a3.png", IMREAD_GRAYSCALE); |
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vector<Mat> imgs(50, img); |
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detail::ImageFeatures serial_features; |
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vector<detail::ImageFeatures> para_features(imgs.size()); |
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detail::computeImageFeatures(serial_finder, img, serial_features); |
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detail::computeImageFeatures(para_finder, imgs, para_features); |
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vector<Mat> imgs(50, img); |
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vector<detail::ImageFeatures> para_features(imgs.size()); |
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detail::computeImageFeatures(para_finder, imgs, para_features); // FIXIT This call doesn't use parallel_for_()
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// results must be the same
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Mat serial_descriptors; |
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serial_features.descriptors.copyTo(serial_descriptors); |
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for(size_t i = 0; i < para_features.size(); ++i) |
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{ |
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Mat diff_descriptors = serial_features.descriptors.getMat(ACCESS_READ) != para_features[i].descriptors.getMat(ACCESS_READ); |
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EXPECT_EQ(countNonZero(diff_descriptors), 0); |
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SCOPED_TRACE(cv::format("i=%zu", i)); |
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EXPECT_EQ(serial_descriptors.size(), para_features[i].descriptors.size()); |
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#if 0 // FIXIT ORB descriptors are not bit-exact (perhaps due internal parallel_for usage)
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ASSERT_EQ(0, cv::norm(u_serial_descriptors, para_features[i].descriptors, NORM_L1)) |
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<< "serial_size=" << u_serial_descriptors.size() |
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<< " par_size=" << para_features[i].descriptors.size() |
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<< endl << u_serial_descriptors.getMat(ACCESS_READ) |
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<< endl << endl << para_features[i].descriptors.getMat(ACCESS_READ); |
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#endif |
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EXPECT_EQ(serial_features.img_size, para_features[i].img_size); |
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EXPECT_EQ(serial_features.keypoints.size(), para_features[i].keypoints.size()); |
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} |
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