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test: regression test for IPP minMaxIdx problem

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This commit is contained in:
Alexander Alekhin 2017-07-20 18:06:17 +03:00
parent 9313978f61
commit d9e092325b
1 changed files with 74 additions and 0 deletions
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74
modules/core/test/test_arithm.cpp
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@ -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]);
}