Open Source Computer Vision Library https://opencv.org/
You can not select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.

103 lines
2.9 KiB

/*#include "perf_precomp.hpp"
#include "distransform.cpp"
using namespace std;
using namespace cv;
using namespace perf;
typedef perf::TestBaseWithParam<Size> Size_DistanceTransform;
PERF_TEST_P(Size_DistanceTransform, icvTrueDistTrans, testing::Values(TYPICAL_MAT_SIZES))
{
Size size = GetParam();
Mat src(size, CV_8UC1);
Mat dst(size, CV_32FC1);
CvMat srcStub = src;
CvMat dstStub = dst;
declare.in(src, WARMUP_RNG).out(dst);
TEST_CYCLE() icvTrueDistTrans(&srcStub, &dstStub);
SANITY_CHECK(dst, 1);
}*/
#include "perf_precomp.hpp"
using namespace std;
using namespace cv;
using namespace perf;
using std::tr1::make_tuple;
using std::tr1::get;
CV_ENUM(DistanceType, DIST_L1, DIST_L2 , DIST_C)
CV_ENUM(MaskSize, DIST_MASK_3, DIST_MASK_5, DIST_MASK_PRECISE)
CV_ENUM(DstType, CV_8U, CV_32F)
CV_ENUM(LabelType, DIST_LABEL_CCOMP, DIST_LABEL_PIXEL)
typedef std::tr1::tuple<Size, DistanceType, MaskSize, DstType> SrcSize_DistType_MaskSize_DstType;
typedef std::tr1::tuple<Size, DistanceType, MaskSize, LabelType> SrcSize_DistType_MaskSize_LabelType;
typedef perf::TestBaseWithParam<SrcSize_DistType_MaskSize_DstType> DistanceTransform_Test;
typedef perf::TestBaseWithParam<SrcSize_DistType_MaskSize_LabelType> DistanceTransform_NeedLabels_Test;
PERF_TEST_P(DistanceTransform_Test, distanceTransform,
testing::Combine(
testing::Values(cv::Size(640, 480), cv::Size(800, 600), cv::Size(1024, 768), cv::Size(1280, 1024)),
DistanceType::all(),
MaskSize::all(),
DstType::all()
)
)
{
Size srcSize = get<0>(GetParam());
int distanceType = get<1>(GetParam());
int maskSize = get<2>(GetParam());
int dstType = get<3>(GetParam());
Mat src(srcSize, CV_8U);
Mat dst(srcSize, dstType);
declare
.in(src, WARMUP_RNG)
.out(dst, WARMUP_RNG)
.time(30);
TEST_CYCLE() distanceTransform( src, dst, distanceType, maskSize, dstType);
double eps = 2e-4;
SANITY_CHECK(dst, eps);
}
PERF_TEST_P(DistanceTransform_NeedLabels_Test, distanceTransform_NeedLabels,
testing::Combine(
testing::Values(cv::Size(640, 480), cv::Size(800, 600), cv::Size(1024, 768), cv::Size(1280, 1024)),
DistanceType::all(),
MaskSize::all(),
LabelType::all()
)
)
{
Size srcSize = get<0>(GetParam());
int distanceType = get<1>(GetParam());
int maskSize = get<2>(GetParam());
int labelType = get<3>(GetParam());
Mat src(srcSize, CV_8U);
Mat label(srcSize, CV_32S);
Mat dst(srcSize, CV_32F);
declare
.in(src, WARMUP_RNG)
.out(label, WARMUP_RNG)
.out(dst, WARMUP_RNG)
.time(30);
TEST_CYCLE() distanceTransform( src, dst, label, distanceType, maskSize, labelType);
double eps = 2e-4;
SANITY_CHECK(label, eps);
SANITY_CHECK(dst, eps);
}