提交 8b57893e 编写于 作者: I Ilya Lavrenov

added an accuracy test for ocl::buildWarpPerspectiveMaps

上级 4248f822
......@@ -156,6 +156,114 @@ OCL_TEST_P(WarpPerspective, Mat)
}
}
// buildWarpPerspectiveMaps
PARAM_TEST_CASE(BuildWarpPerspectiveMaps, bool, bool)
{
bool useRoi, mapInverse;
Size dsize;
Mat xmap_whole, ymap_whole, xmap_roi, ymap_roi;
ocl::oclMat gxmap_whole, gymap_whole, gxmap_roi, gymap_roi;
void SetUp()
{
mapInverse = GET_PARAM(0);
useRoi = GET_PARAM(1);
}
void random_roi()
{
dsize = randomSize(1, MAX_VALUE);
Border xmapBorder = randomBorder(0, useRoi ? MAX_VALUE : 0);
randomSubMat(xmap_whole, xmap_roi, dsize, xmapBorder, CV_32FC1, -MAX_VALUE, MAX_VALUE);
Border ymapBorder = randomBorder(0, useRoi ? MAX_VALUE : 0);
randomSubMat(ymap_whole, ymap_roi, dsize, ymapBorder, CV_32FC1, -MAX_VALUE, MAX_VALUE);
generateOclMat(gxmap_whole, gxmap_roi, xmap_whole, dsize, xmapBorder);
generateOclMat(gymap_whole, gymap_roi, ymap_whole, dsize, ymapBorder);
}
void Near(double threshold = 0.0)
{
Mat whole, roi;
gxmap_whole.download(whole);
gxmap_roi.download(roi);
EXPECT_MAT_NEAR(xmap_whole, whole, threshold);
EXPECT_MAT_NEAR(xmap_roi, roi, threshold);
}
void Near1(double threshold = 0.0)
{
Mat whole, roi;
gymap_whole.download(whole);
gymap_roi.download(roi);
EXPECT_MAT_NEAR(ymap_whole, whole, threshold);
EXPECT_MAT_NEAR(ymap_roi, roi, threshold);
}
};
static void buildWarpPerspectiveMaps(const Mat &M, bool inverse, Size dsize, Mat &xmap, Mat &ymap)
{
CV_Assert(M.rows == 3 && M.cols == 3);
CV_Assert(dsize.area() > 0);
xmap.create(dsize, CV_32FC1);
ymap.create(dsize, CV_32FC1);
float coeffs[3 * 3];
Mat coeffsMat(3, 3, CV_32F, (void *)coeffs);
if (inverse)
M.convertTo(coeffsMat, coeffsMat.type());
else
{
cv::Mat iM;
invert(M, iM);
iM.convertTo(coeffsMat, coeffsMat.type());
}
for (int y = 0; y < dsize.height; ++y)
{
float * const xmap_ptr = xmap.ptr<float>(y);
float * const ymap_ptr = ymap.ptr<float>(y);
for (int x = 0; x < dsize.width; ++x)
{
float coeff = 1.0f / (x * coeffs[6] + y * coeffs[7] + coeffs[8]);
xmap_ptr[x] = (x * coeffs[0] + y * coeffs[1] + coeffs[2]) * coeff;
ymap_ptr[x] = (x * coeffs[3] + y * coeffs[4] + coeffs[5]) * coeff;
}
}
}
OCL_TEST_P(BuildWarpPerspectiveMaps, Mat)
{
for (int j = 0; j < LOOP_TIMES; j++)
{
random_roi();
float cols = static_cast<float>(MAX_VALUE), rows = static_cast<float>(MAX_VALUE);
float cols2 = cols / 2.0f, rows2 = rows / 2.0f;
Point2f sp[] = { Point2f(0.0f, 0.0f), Point2f(cols, 0.0f), Point2f(0.0f, rows), Point2f(cols, rows) };
Point2f dp[] = { Point2f(rng.uniform(0.0f, cols2), rng.uniform(0.0f, rows2)),
Point2f(rng.uniform(cols2, cols), rng.uniform(0.0f, rows2)),
Point2f(rng.uniform(0.0f, cols2), rng.uniform(rows2, rows)),
Point2f(rng.uniform(cols2, cols), rng.uniform(rows2, rows)) };
Mat M = getPerspectiveTransform(sp, dp);
buildWarpPerspectiveMaps(M, mapInverse, dsize, xmap_roi, ymap_roi);
ocl::buildWarpPerspectiveMaps(M, mapInverse, dsize, gxmap_roi, gymap_roi);
Near(1e-6);
Near1(1e-6);
}
}
/////////////////////////////////////////////////////////////////////////////////////////////////
// remap
......@@ -338,6 +446,8 @@ INSTANTIATE_TEST_CASE_P(ImgprocWarp, WarpPerspective, Combine(
Bool(),
Bool()));
INSTANTIATE_TEST_CASE_P(ImgprocWarp, BuildWarpPerspectiveMaps, Combine(Bool(), Bool()));
INSTANTIATE_TEST_CASE_P(ImgprocWarp, Remap_INTER_LINEAR, Combine(
Values(CV_8U, CV_16U, CV_16S, CV_32F, CV_64F),
Values(1, 2, 3, 4),
......
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