[opencv] 132/251: test: regression test for IPP minMaxIdx problem

[Nobuhiro Iwamatsu]

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iwamatsu pushed a commit to annotated tag 3.3.0
in repository opencv.

commit d9e092325b82d8738bbd893fa424498d96d29c4f
Author: Alexander Alekhin <alexander.alekhin at intel.com>
Date:   Thu Jul 20 18:06:17 2017 +0300

    test: regression test for IPP minMaxIdx problem
---
 modules/core/test/test_arithm.cpp | 74 +++++++++++++++++++++++++++++++++++++++
 1 file changed, 74 insertions(+)

diff --git a/modules/core/test/test_arithm.cpp b/modules/core/test/test_arithm.cpp
index bac5c7f..78c0689 100644
--- a/modules/core/test/test_arithm.cpp
+++ b/modules/core/test/test_arithm.cpp
@@ -1932,3 +1932,77 @@ TEST(Compare, regression_8999)
                         compare(A, B, C, CMP_LT);
                      });
 }
+
+
+TEST(Core_minMaxIdx, regression_9207_1)
+{
+    const int rows = 4;
+    const int cols = 3;
+    uchar mask_[rows*cols] = {
+ 255, 255, 255,
+ 255,   0, 255,
+   0, 255, 255,
+   0,   0, 255
+};
+    uchar src_[rows*cols] = {
+   1,   1,   1,
+   1,   1,   1,
+   2,   1,   1,
+   2,   2,   1
+};
+    Mat mask(Size(cols, rows), CV_8UC1, mask_);
+    Mat src(Size(cols, rows), CV_8UC1, src_);
+    double minVal = -0.0, maxVal = -0.0;
+    int minIdx[2] = { -2, -2 }, maxIdx[2] = { -2, -2 };
+    minMaxIdx(src, &minVal, &maxVal, minIdx, maxIdx, mask);
+    EXPECT_EQ(0, minIdx[0]);
+    EXPECT_EQ(0, minIdx[1]);
+    EXPECT_EQ(0, maxIdx[0]);
+    EXPECT_EQ(0, maxIdx[1]);
+}
+
+
+TEST(Core_minMaxIdx, regression_9207_2)
+{
+    const int rows = 13;
+    const int cols = 15;
+    uchar mask_[rows*cols] = {
+   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0, 255,
+   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0, 255,
+   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0, 255,
+   0, 255, 255, 255, 255,   0,   0,   0,   0,   0,   0,   0,   0,   0, 255,
+ 255,   0,   0,   0,   0, 255,   0,   0,   0,   0,   0,   0,   0,   0, 255,
+ 255,   0,   0,   0,   0,   0, 255,   0,   0,   0,   0,   0,   0, 255, 255,
+ 255,   0,   0,   0,   0,   0,   0, 255, 255,   0,   0, 255, 255, 255,   0,
+ 255,   0,   0,   0,   0,   0,   0,   0,   0, 255, 255, 255,   0, 255,   0,
+ 255,   0,   0,   0,   0,   0,   0, 255, 255,   0,   0,   0, 255, 255,   0,
+ 255,   0,   0,   0,   0,   0, 255,   0,   0,   0,   0,   0,   0, 255,   0,
+ 255,   0,   0,   0,   0, 255,   0,   0,   0,   0,   0,   0,   0,   0,   0,
+   0, 255,   0,   0,   0, 255,   0,   0,   0,   0,   0,   0,   0,   0,   0,
+   0, 255, 255, 255, 255,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0
+};
+    uchar src_[15*13] = {
+   5,   5,   5,   5,   5,   6,   5,   2,   0,   4,   6,   6,   4,   1,   0,
+   6,   5,   4,   4,   5,   6,   6,   5,   2,   0,   4,   6,   5,   2,   0,
+   3,   2,   1,   1,   2,   4,   6,   6,   4,   2,   3,   4,   4,   2,   0,
+   1,   0,   0,   0,   0,   1,   4,   5,   4,   4,   4,   4,   3,   2,   0,
+   0,   0,   0,   0,   0,   0,   2,   3,   4,   4,   4,   3,   2,   1,   0,
+   0,   0,   0,   0,   0,   0,   0,   2,   3,   4,   3,   2,   1,   0,   0,
+   0,   0,   0,   0,   0,   0,   0,   0,   0,   1,   1,   0,   0,   0,   1,
+   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   1,
+   0,   0,   0,   0,   0,   0,   0,   0,   0,   1,   1,   1,   0,   0,   1,
+   0,   0,   0,   0,   0,   0,   0,   1,   2,   4,   3,   3,   1,   0,   1,
+   0,   0,   0,   0,   0,   0,   1,   4,   5,   6,   5,   4,   3,   2,   0,
+   1,   0,   0,   0,   0,   0,   3,   5,   5,   4,   3,   4,   4,   3,   0,
+   2,   0,   0,   0,   0,   2,   5,   6,   5,   2,   2,   5,   4,   3,   0
+};
+    Mat mask(Size(cols, rows), CV_8UC1, mask_);
+    Mat src(Size(cols, rows), CV_8UC1, src_);
+    double minVal = -0.0, maxVal = -0.0;
+    int minIdx[2] = { -2, -2 }, maxIdx[2] = { -2, -2 };
+    minMaxIdx(src, &minVal, &maxVal, minIdx, maxIdx, mask);
+    EXPECT_EQ(0, minIdx[0]);
+    EXPECT_EQ(14, minIdx[1]);
+    EXPECT_EQ(0, maxIdx[0]);
+    EXPECT_EQ(14, maxIdx[1]);
+}

-- 
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