Open Source Computer Vision Library https://opencv.org/
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#include "test_precomp.hpp"
using namespace cv;
using namespace std;
TEST(Core_Drawing, _914)
{
const int rows = 256;
const int cols = 256;
Mat img(rows, cols, CV_8UC1, Scalar(255));
line(img, Point(0, 10), Point(255, 10), Scalar(0), 2, 4);
line(img, Point(-5, 20), Point(260, 20), Scalar(0), 2, 4);
line(img, Point(10, 0), Point(10, 255), Scalar(0), 2, 4);
double x0 = 0.0/pow(2.0, -2.0);
double x1 = 255.0/pow(2.0, -2.0);
double y = 30.5/pow(2.0, -2.0);
line(img, Point(int(x0), int(y)), Point(int(x1), int(y)), Scalar(0), 2, 4, 2);
int pixelsDrawn = rows*cols - countNonZero(img);
ASSERT_EQ( (3*rows + cols)*3 - 3*9, pixelsDrawn);
}
TEST(Core_OutputArraySreate, _1997)
{
struct local {
static void create(OutputArray arr, Size submatSize, int type)
{
int sizes[] = {submatSize.width, submatSize.height};
arr.create(sizeof(sizes)/sizeof(sizes[0]), sizes, type);
}
};
Mat mat(Size(512, 512), CV_8U);
Size submatSize = Size(256, 256);
ASSERT_NO_THROW(local::create( mat(Rect(Point(), submatSize)), submatSize, mat.type() ));
}
TEST(Core_SaturateCast, NegativeNotClipped)
{
double d = -1.0;
unsigned int val = cv::saturate_cast<unsigned int>(d);
ASSERT_EQ(0xffffffff, val);
}
TEST(Core_Drawing, polylines_empty)
{
Mat img(100, 100, CV_8UC1, Scalar(0));
vector<Point> pts; // empty
polylines(img, pts, false, Scalar(255));
int cnt = countNonZero(img);
ASSERT_EQ(cnt, 0);
}
TEST(Core_Drawing, polylines)
{
Mat img(100, 100, CV_8UC1, Scalar(0));
vector<Point> pts;
pts.push_back(Point(0, 0));
pts.push_back(Point(20, 0));
polylines(img, pts, false, Scalar(255));
int cnt = countNonZero(img);
ASSERT_EQ(cnt, 21);
}