replaced jpegs with png's. Accuracy tests pass; performance tests were not tried yet
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@@ -10,7 +10,7 @@ typedef perf::TestBaseWithParam<std::string> fast;
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#define FAST_IMAGES \
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"cv/detectors_descriptors_evaluation/images_datasets/leuven/img1.png",\
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"stitching/a3.jpg"
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"stitching/a3.png"
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PERF_TEST_P(fast, detectForORB, testing::Values(FAST_IMAGES))
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{
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@@ -10,7 +10,7 @@ typedef perf::TestBaseWithParam<std::string> orb;
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#define ORB_IMAGES \
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"cv/detectors_descriptors_evaluation/images_datasets/leuven/img1.png",\
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"stitching/a3.jpg"
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"stitching/a3.png"
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PERF_TEST_P(orb, detect, testing::Values(ORB_IMAGES))
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{
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@@ -58,8 +58,8 @@ CV_BRISKTest::~CV_BRISKTest() {}
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void CV_BRISKTest::run( int )
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{
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Mat image1 = imread(string(ts->get_data_path()) + "inpaint/orig.jpg");
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Mat image2 = imread(string(ts->get_data_path()) + "cameracalibration/chess9.jpg");
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Mat image1 = imread(string(ts->get_data_path()) + "inpaint/orig.png");
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Mat image2 = imread(string(ts->get_data_path()) + "cameracalibration/chess9.png");
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if (image1.empty() || image2.empty())
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{
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@@ -59,8 +59,8 @@ CV_FastTest::~CV_FastTest() {}
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void CV_FastTest::run( int )
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{
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for(int type=0; type <= 2; ++type) {
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Mat image1 = imread(string(ts->get_data_path()) + "inpaint/orig.jpg");
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Mat image2 = imread(string(ts->get_data_path()) + "cameracalibration/chess9.jpg");
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Mat image1 = imread(string(ts->get_data_path()) + "inpaint/orig.png");
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Mat image2 = imread(string(ts->get_data_path()) + "cameracalibration/chess9.png");
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string xml = string(ts->get_data_path()) + format("fast/result%d.xml", type);
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if (image1.empty() || image2.empty())
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@@ -49,7 +49,7 @@ TEST(Features2D_ORB, _1996)
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Ptr<FeatureDetector> fd = FeatureDetector::create("ORB");
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Ptr<DescriptorExtractor> de = DescriptorExtractor::create("ORB");
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Mat image = imread(string(cvtest::TS::ptr()->get_data_path()) + "shared/lena.jpg");
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Mat image = imread(string(cvtest::TS::ptr()->get_data_path()) + "shared/lena.png");
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ASSERT_FALSE(image.empty());
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Mat roi(image.size(), CV_8UC1, Scalar(0));
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