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157 lines
3.3 KiB
C++
157 lines
3.3 KiB
C++
#include "test_precomp.hpp"
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using namespace cv;
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using namespace std;
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TEST(Core_OutputArrayCreate, _1997)
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{
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struct local {
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static void create(OutputArray arr, Size submatSize, int type)
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{
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int sizes[] = {submatSize.width, submatSize.height};
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arr.create(sizeof(sizes)/sizeof(sizes[0]), sizes, type);
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}
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};
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Mat mat(Size(512, 512), CV_8U);
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Size submatSize = Size(256, 256);
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ASSERT_NO_THROW(local::create( mat(Rect(Point(), submatSize)), submatSize, mat.type() ));
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}
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TEST(Core_SaturateCast, NegativeNotClipped)
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{
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double d = -1.0;
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unsigned int val = cv::saturate_cast<unsigned int>(d);
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ASSERT_EQ(0xffffffff, val);
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}
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template<typename T, typename U>
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static double maxAbsDiff(const T &t, const U &u)
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{
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Mat_<double> d;
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absdiff(t, u, d);
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double ret;
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minMaxLoc(d, NULL, &ret);
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return ret;
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}
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TEST(Core_OutputArrayAssign, _Matxd_Matd)
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{
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Mat expected = (Mat_<double>(2,3) << 1, 2, 3, .1, .2, .3);
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Matx23d actualx;
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{
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OutputArray oa(actualx);
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oa.assign(expected);
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}
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Mat actual = (Mat) actualx;
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EXPECT_LE(maxAbsDiff(expected, actual), 0.0);
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}
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TEST(Core_OutputArrayAssign, _Matxd_Matf)
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{
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Mat expected = (Mat_<float>(2,3) << 1, 2, 3, .1, .2, .3);
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Matx23d actualx;
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{
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OutputArray oa(actualx);
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oa.assign(expected);
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}
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Mat actual = (Mat) actualx;
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EXPECT_LE(maxAbsDiff(expected, actual), FLT_EPSILON);
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}
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TEST(Core_OutputArrayAssign, _Matxf_Matd)
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{
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Mat expected = (Mat_<double>(2,3) << 1, 2, 3, .1, .2, .3);
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Matx23f actualx;
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{
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OutputArray oa(actualx);
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oa.assign(expected);
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}
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Mat actual = (Mat) actualx;
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EXPECT_LE(maxAbsDiff(expected, actual), FLT_EPSILON);
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}
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TEST(Core_OutputArrayAssign, _Matxd_UMatd)
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{
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Mat expected = (Mat_<double>(2,3) << 1, 2, 3, .1, .2, .3);
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UMat uexpected = expected.getUMat(ACCESS_READ);
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Matx23d actualx;
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{
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OutputArray oa(actualx);
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oa.assign(uexpected);
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}
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Mat actual = (Mat) actualx;
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EXPECT_LE(maxAbsDiff(expected, actual), 0.0);
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}
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TEST(Core_OutputArrayAssign, _Matxd_UMatf)
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{
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Mat expected = (Mat_<float>(2,3) << 1, 2, 3, .1, .2, .3);
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UMat uexpected = expected.getUMat(ACCESS_READ);
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Matx23d actualx;
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{
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OutputArray oa(actualx);
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oa.assign(uexpected);
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}
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Mat actual = (Mat) actualx;
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EXPECT_LE(maxAbsDiff(expected, actual), FLT_EPSILON);
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}
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TEST(Core_OutputArrayAssign, _Matxf_UMatd)
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{
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Mat expected = (Mat_<double>(2,3) << 1, 2, 3, .1, .2, .3);
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UMat uexpected = expected.getUMat(ACCESS_READ);
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Matx23f actualx;
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{
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OutputArray oa(actualx);
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oa.assign(uexpected);
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}
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Mat actual = (Mat) actualx;
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EXPECT_LE(maxAbsDiff(expected, actual), FLT_EPSILON);
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}
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TEST(Core_String, find_last_of__with__empty_string)
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{
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cv::String s;
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size_t p = s.find_last_of("q", 0);
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// npos is not exported: EXPECT_EQ(cv::String::npos, p);
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EXPECT_EQ(std::string::npos, p);
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}
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TEST(Core_String, end_method_regression)
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{
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cv::String old_string = "012345";
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cv::String new_string(old_string.begin(), old_string.end());
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EXPECT_EQ(6u, new_string.size());
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}
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TEST(Core_Copy, repeat_regression_8972)
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{
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Mat src = (Mat_<int>(1, 4) << 1, 2, 3, 4);
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ASSERT_ANY_THROW({
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repeat(src, 5, 1, src);
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});
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}
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