photo(test): update test checks

- allow 5% of changed pixels with intensity difference <= 1

modules/photo/test/test_cloning.cpp

@@ -53,7 +53,7 @@ namespace opencv_test { namespace {
 #define SAVE(x)
 #endif
 
-static const double numerical_precision = 1000.;
+static const double numerical_precision = 0.05; // 95% of pixels should have exact values
 
 TEST(Photo_SeamlessClone_normal, regression)
 {
@@ -82,8 +82,10 @@ TEST(Photo_SeamlessClone_normal, regression)
 
     SAVE(result);
 
-    double error = cvtest::norm(reference, result, NORM_L1);
-    EXPECT_LE(error, numerical_precision);
+    double errorINF = cvtest::norm(reference, result, NORM_INF);
+    EXPECT_LE(errorINF, 1);
+    double errorL1 = cvtest::norm(reference, result, NORM_L1);
+    EXPECT_LE(errorL1, reference.total() * numerical_precision) << "size=" << reference.size();
 }
 
 TEST(Photo_SeamlessClone_mixed, regression)
@@ -113,9 +115,10 @@ TEST(Photo_SeamlessClone_mixed, regression)
     Mat reference = imread(reference_path);
     ASSERT_FALSE(reference.empty()) << "Could not load reference image " << reference_path;
 
-    double error = cvtest::norm(reference, result, NORM_L1);
-    EXPECT_LE(error, numerical_precision);
-
+    double errorINF = cvtest::norm(reference, result, NORM_INF);
+    EXPECT_LE(errorINF, 1);
+    double errorL1 = cvtest::norm(reference, result, NORM_L1);
+    EXPECT_LE(errorL1, reference.total() * numerical_precision) << "size=" << reference.size();
 }
 
 TEST(Photo_SeamlessClone_featureExchange, regression)
@@ -145,9 +148,10 @@ TEST(Photo_SeamlessClone_featureExchange, regression)
     Mat reference = imread(reference_path);
     ASSERT_FALSE(reference.empty()) << "Could not load reference image " << reference_path;
 
-    double error = cvtest::norm(reference, result, NORM_L1);
-    EXPECT_LE(error, numerical_precision);
-
+    double errorINF = cvtest::norm(reference, result, NORM_INF);
+    EXPECT_LE(errorINF, 1);
+    double errorL1 = cvtest::norm(reference, result, NORM_L1);
+    EXPECT_LE(errorL1, reference.total() * numerical_precision) << "size=" << reference.size();
 }
 
 TEST(Photo_SeamlessClone_colorChange, regression)
@@ -171,9 +175,10 @@ TEST(Photo_SeamlessClone_colorChange, regression)
     Mat reference = imread(reference_path);
     ASSERT_FALSE(reference.empty()) << "Could not load reference image " << reference_path;
 
-    double error = cvtest::norm(reference, result, NORM_L1);
-    EXPECT_LE(error, numerical_precision);
-
+    double errorINF = cvtest::norm(reference, result, NORM_INF);
+    EXPECT_LE(errorINF, 1);
+    double errorL1 = cvtest::norm(reference, result, NORM_L1);
+    EXPECT_LE(errorL1, reference.total() * numerical_precision) << "size=" << reference.size();
 }
 
 TEST(Photo_SeamlessClone_illuminationChange, regression)
@@ -195,9 +200,12 @@ TEST(Photo_SeamlessClone_illuminationChange, regression)
     SAVE(result);
 
     Mat reference = imread(reference_path);
-    double error = cvtest::norm(reference, result, NORM_L1);
-    EXPECT_LE(error, numerical_precision);
+    ASSERT_FALSE(reference.empty()) << "Could not load reference image " << reference_path;
 
+    double errorINF = cvtest::norm(reference, result, NORM_INF);
+    EXPECT_LE(errorINF, 1);
+    double errorL1 = cvtest::norm(reference, result, NORM_L1);
+    EXPECT_LE(errorL1, reference.total() * numerical_precision) << "size=" << reference.size();
 }
 
 TEST(Photo_SeamlessClone_textureFlattening, regression)
@@ -221,9 +229,10 @@ TEST(Photo_SeamlessClone_textureFlattening, regression)
     Mat reference = imread(reference_path);
     ASSERT_FALSE(reference.empty()) << "Could not load reference image " << reference_path;
 
-    double error = cvtest::norm(reference, result, NORM_L1);
-    EXPECT_LE(error, numerical_precision);
-
+    double errorINF = cvtest::norm(reference, result, NORM_INF);
+    EXPECT_LE(errorINF, 1);
+    double errorL1 = cvtest::norm(reference, result, NORM_L1);
+    EXPECT_LE(errorL1, reference.total() * numerical_precision) << "size=" << reference.size();
 }
 
 }} // namespace