fix tests

modules/xfeatures2d/test/test_features2d.cpp

@@ -1054,10 +1054,32 @@ TEST( Features2d_DescriptorExtractor_BRIEF, regression )
     test.safe_run();
 }
 
+template <int threshold = 0>
+struct LUCIDEqualityDistance
+{
+    typedef unsigned char ValueType;
+    typedef int ResultType;
+
+    ResultType operator()( const unsigned char* a, const unsigned char* b, int size ) const
+    {
+        int res = 0;
+        for (int i = 0; i < size; i++)
+        {
+            if (threshold == 0)
+                res += (a[i] != b[i]) ? 1 : 0;
+            else
+                res += abs(a[i] - b[i]) > threshold ? 1 : 0;
+        }
+        return res;
+    }
+};
+
 TEST( Features2d_DescriptorExtractor_LUCID, regression )
 {
-    CV_DescriptorExtractorTest<Hamming> test( "descriptor-lucid",  1,
+    CV_DescriptorExtractorTest< LUCIDEqualityDistance<1/*used blur is not bit-exact*/> > test(
-                                             LUCID::create(1, 2) );
+            "descriptor-lucid", 2,
+            LUCID::create(1, 2)
+    );
     test.safe_run();
 }
 

modules/ximgproc/test/test_rolling_guidance_filter.cpp

@@ -53,11 +53,8 @@ static std::string getOpenCVExtraDir()
 
 static void checkSimilarity(InputArray src, InputArray ref)
 {
-    double normInf = cvtest::norm(src, ref, NORM_INF);
+    // Doesn't work with bilateral filter: EXPECT_LE(cvtest::norm(src, ref, NORM_INF), 1.0);
-    double normL2 = cvtest::norm(src, ref, NORM_L2) / (src.total()*src.channels());
+    EXPECT_LE(cvtest::norm(src, ref, NORM_L2 | NORM_RELATIVE), 1e-3);
-
-    EXPECT_LE(normInf, 1.0);
-    EXPECT_LE(normL2, 1.0 / 16);
 }
 
 static Mat convertTypeAndSize(Mat src, int dstType, Size dstSize)