Merge remote-tracking branch 'upstream/3.4' into merge-3.4

Author: alalek

modules/xfeatures2d/test/test_surf.cuda.cpp

@@ -99,7 +99,8 @@ CUDA_TEST_P(CUDA_SURF, Detector)
     std::vector<cv::KeyPoint> keypoints_gold;
     surf_gold->detect(image, keypoints_gold);
 
-    ASSERT_EQ(keypoints_gold.size(), keypoints.size());
+    int lengthDiff = abs((int)keypoints_gold.size()) - ((int)keypoints.size());
+    EXPECT_LE(lengthDiff, 1);
     int matchedCount = getMatchedPointsCount(keypoints_gold, keypoints);
     double matchedRatio = static_cast<double>(matchedCount) / keypoints_gold.size();
 
@@ -130,7 +131,8 @@ CUDA_TEST_P(CUDA_SURF, Detector_Masked)
     std::vector<cv::KeyPoint> keypoints_gold;
     surf_gold->detect(image, keypoints_gold, mask);
 
-    ASSERT_EQ(keypoints_gold.size(), keypoints.size());
+    int lengthDiff = abs((int)keypoints_gold.size()) - ((int)keypoints.size());
+    EXPECT_LE(lengthDiff, 1);
     int matchedCount = getMatchedPointsCount(keypoints_gold, keypoints);
     double matchedRatio = static_cast<double>(matchedCount) / keypoints_gold.size();
 
@@ -171,19 +173,11 @@ CUDA_TEST_P(CUDA_SURF, Descriptor)
     EXPECT_GT(matchedRatio, 0.6);
 }
 
-#if defined (__x86_64__) || defined (_M_X64)
 testing::internal::ValueArray3<SURF_HessianThreshold, SURF_HessianThreshold, SURF_HessianThreshold> thresholdValues =
     testing::Values(
             SURF_HessianThreshold(100.0),
             SURF_HessianThreshold(500.0),
             SURF_HessianThreshold(1000.0));
-#else
-// hessian computation is not bit-exact and lower threshold causes different count of detection
-testing::internal::ValueArray2<SURF_HessianThreshold, SURF_HessianThreshold> thresholdValues =
-    testing::Values(
-            SURF_HessianThreshold(830.0),
-            SURF_HessianThreshold(1000.0));
-#endif
 
 INSTANTIATE_TEST_CASE_P(CUDA_Features2D, CUDA_SURF, testing::Combine(
     thresholdValues,

modules/xfeatures2d/test/test_surf.ocl.cpp

@@ -78,13 +78,35 @@ static int getMatchedPointsCount(std::vector<cv::KeyPoint>& gold, std::vector<cv
 
     int validCount = 0;
 
-    for (size_t i = 0; i < gold.size(); ++i)
+    if (actual.size() == gold.size())
     {
-        const cv::KeyPoint& p1 = gold[i];
-        const cv::KeyPoint& p2 = actual[i];
-
-        if (keyPointsEquals(p1, p2))
-            ++validCount;
+        for (size_t i = 0; i < gold.size(); ++i)
+        {
+            const cv::KeyPoint& p1 = gold[i];
+            const cv::KeyPoint& p2 = actual[i];
+
+            if (keyPointsEquals(p1, p2))
+                ++validCount;
+        }
+    }
+    else
+    {
+        std::vector<cv::KeyPoint>& shorter = gold;
+        std::vector<cv::KeyPoint>& longer = actual;
+        if (actual.size() < gold.size())
+        {
+            shorter = actual;
+            longer = gold;
+        }
+        for (size_t i = 0; i < shorter.size(); ++i)
+        {
+            const cv::KeyPoint& p1 = shorter[i];
+            const cv::KeyPoint& p2 = longer[i];
+            const cv::KeyPoint& p3 = longer[i+1];
+
+            if (keyPointsEquals(p1, p2) || keyPointsEquals(p1, p3))
+                ++validCount;
+        }
     }
 
     return validCount;
@@ -154,7 +176,8 @@ TEST_P(SURF, Detector)
     std::vector<cv::KeyPoint> keypoints_gold;
     surf->detect(image, keypoints_gold, cv::noArray());
 
-    ASSERT_EQ(keypoints_gold.size(), keypoints.size());
+    int lengthDiff = abs((int)keypoints_gold.size()) - ((int)keypoints.size());
+    EXPECT_LE(lengthDiff, 1);
     int matchedCount = getMatchedPointsCount(keypoints_gold, keypoints);
     double matchedRatio = static_cast<double>(matchedCount) / keypoints_gold.size();