opencv/modules/cudawarping/test/test_pyramids.cpp
2013-09-02 14:00:42 +04:00

130 lines
4.4 KiB
C++

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#include "test_precomp.hpp"
#ifdef HAVE_CUDA
using namespace cvtest;
////////////////////////////////////////////////////////
// pyrDown
PARAM_TEST_CASE(PyrDown, cv::cuda::DeviceInfo, cv::Size, MatType, UseRoi)
{
cv::cuda::DeviceInfo devInfo;
cv::Size size;
int type;
bool useRoi;
virtual void SetUp()
{
devInfo = GET_PARAM(0);
size = GET_PARAM(1);
type = GET_PARAM(2);
useRoi = GET_PARAM(3);
cv::cuda::setDevice(devInfo.deviceID());
}
};
GPU_TEST_P(PyrDown, Accuracy)
{
cv::Mat src = randomMat(size, type);
cv::cuda::GpuMat dst = createMat(cv::Size((size.width + 1) / 2, (size.height + 1) / 2), type, useRoi);
cv::cuda::pyrDown(loadMat(src, useRoi), dst);
cv::Mat dst_gold;
cv::pyrDown(src, dst_gold);
EXPECT_MAT_NEAR(dst_gold, dst, src.depth() == CV_32F ? 1e-4 : 1.0);
}
INSTANTIATE_TEST_CASE_P(GPU_Warping, PyrDown, testing::Combine(
ALL_DEVICES,
DIFFERENT_SIZES,
testing::Values(MatType(CV_8UC1), MatType(CV_8UC3), MatType(CV_8UC4), MatType(CV_16UC1), MatType(CV_16UC3), MatType(CV_16UC4), MatType(CV_32FC1), MatType(CV_32FC3), MatType(CV_32FC4)),
WHOLE_SUBMAT));
////////////////////////////////////////////////////////
// pyrUp
PARAM_TEST_CASE(PyrUp, cv::cuda::DeviceInfo, cv::Size, MatType, UseRoi)
{
cv::cuda::DeviceInfo devInfo;
cv::Size size;
int type;
bool useRoi;
virtual void SetUp()
{
devInfo = GET_PARAM(0);
size = GET_PARAM(1);
type = GET_PARAM(2);
useRoi = GET_PARAM(3);
cv::cuda::setDevice(devInfo.deviceID());
}
};
GPU_TEST_P(PyrUp, Accuracy)
{
cv::Mat src = randomMat(size, type);
cv::cuda::GpuMat dst = createMat(cv::Size(size.width * 2, size.height * 2), type, useRoi);
cv::cuda::pyrUp(loadMat(src, useRoi), dst);
cv::Mat dst_gold;
cv::pyrUp(src, dst_gold);
EXPECT_MAT_NEAR(dst_gold, dst, src.depth() == CV_32F ? 1e-4 : 1.0);
}
INSTANTIATE_TEST_CASE_P(GPU_Warping, PyrUp, testing::Combine(
ALL_DEVICES,
DIFFERENT_SIZES,
testing::Values(MatType(CV_8UC1), MatType(CV_8UC3), MatType(CV_8UC4), MatType(CV_16UC1), MatType(CV_16UC3), MatType(CV_16UC4), MatType(CV_32FC1), MatType(CV_32FC3), MatType(CV_32FC4)),
WHOLE_SUBMAT));
#endif // HAVE_CUDA