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https://github.com/opencv/opencv_contrib.git
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fix tests
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@@ -1054,10 +1054,32 @@ TEST( Features2d_DescriptorExtractor_BRIEF, regression )
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test.safe_run();
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}
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template <int threshold = 0>
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struct LUCIDEqualityDistance
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{
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typedef unsigned char ValueType;
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typedef int ResultType;
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ResultType operator()( const unsigned char* a, const unsigned char* b, int size ) const
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{
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int res = 0;
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for (int i = 0; i < size; i++)
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{
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if (threshold == 0)
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res += (a[i] != b[i]) ? 1 : 0;
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else
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res += abs(a[i] - b[i]) > threshold ? 1 : 0;
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}
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return res;
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}
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};
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TEST( Features2d_DescriptorExtractor_LUCID, regression )
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{
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CV_DescriptorExtractorTest<Hamming> test( "descriptor-lucid", 1,
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LUCID::create(1, 2) );
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CV_DescriptorExtractorTest< LUCIDEqualityDistance<1/*used blur is not bit-exact*/> > test(
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"descriptor-lucid", 2,
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LUCID::create(1, 2)
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);
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test.safe_run();
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}
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@@ -53,11 +53,8 @@ static std::string getOpenCVExtraDir()
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static void checkSimilarity(InputArray src, InputArray ref)
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{
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double normInf = cvtest::norm(src, ref, NORM_INF);
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double normL2 = cvtest::norm(src, ref, NORM_L2) / (src.total()*src.channels());
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EXPECT_LE(normInf, 1.0);
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EXPECT_LE(normL2, 1.0 / 16);
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// Doesn't work with bilateral filter: EXPECT_LE(cvtest::norm(src, ref, NORM_INF), 1.0);
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EXPECT_LE(cvtest::norm(src, ref, NORM_L2 | NORM_RELATIVE), 1e-3);
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}
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static Mat convertTypeAndSize(Mat src, int dstType, Size dstSize)
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