214 lines
7.9 KiB
C++
214 lines
7.9 KiB
C++
/*M///////////////////////////////////////////////////////////////////////////////////////
|
|
//
|
|
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
|
|
//
|
|
// By downloading, copying, installing or using the software you agree to this license.
|
|
// If you do not agree to this license, do not download, install,
|
|
// copy or use the software.
|
|
//
|
|
//
|
|
// License Agreement
|
|
// For Open Source Computer Vision Library
|
|
//
|
|
// Copyright (C) 2010-2012, Multicoreware, Inc., all rights reserved.
|
|
// Copyright (C) 2010-2012, Advanced Micro Devices, Inc., all rights reserved.
|
|
// Third party copyrights are property of their respective owners.
|
|
//
|
|
// @Authors
|
|
// Fangfang Bai, fangfang@multicorewareinc.com
|
|
// Jin Ma, jin@multicorewareinc.com
|
|
//
|
|
// Redistribution and use in source and binary forms, with or without modification,
|
|
// are permitted provided that the following conditions are met:
|
|
//
|
|
// * Redistribution's of source code must retain the above copyright notice,
|
|
// this list of conditions and the following disclaimer.
|
|
//
|
|
// * Redistribution's in binary form must reproduce the above copyright notice,
|
|
// this list of conditions and the following disclaimer in the documentation
|
|
// and/or other materials provided with the distribution.
|
|
//
|
|
// * The name of the copyright holders may not be used to endorse or promote products
|
|
// derived from this software without specific prior written permission.
|
|
//
|
|
// This software is provided by the copyright holders and contributors as is and
|
|
// any express or implied warranties, including, but not limited to, the implied
|
|
// warranties of merchantability and fitness for a particular purpose are disclaimed.
|
|
// In no event shall the Intel Corporation or contributors be liable for any direct,
|
|
// indirect, incidental, special, exemplary, or consequential damages
|
|
// (including, but not limited to, procurement of substitute goods or services;
|
|
// loss of use, data, or profits; or business interruption) however caused
|
|
// and on any theory of liability, whether in contract, strict liability,
|
|
// or tort (including negligence or otherwise) arising in any way out of
|
|
// the use of this software, even if advised of the possibility of such damage.
|
|
//
|
|
//M*/
|
|
|
|
#include "perf_precomp.hpp"
|
|
#include "opencv2/ts/ocl_perf.hpp"
|
|
|
|
#ifdef HAVE_OPENCL
|
|
|
|
namespace cvtest {
|
|
namespace ocl {
|
|
|
|
///////////// WarpAffine ////////////////////////
|
|
|
|
CV_ENUM(InterType, INTER_NEAREST, INTER_LINEAR, INTER_CUBIC)
|
|
|
|
typedef tuple<Size, MatType, InterType> WarpAffineParams;
|
|
typedef TestBaseWithParam<WarpAffineParams> WarpAffineFixture;
|
|
|
|
OCL_PERF_TEST_P(WarpAffineFixture, WarpAffine,
|
|
::testing::Combine(OCL_TEST_SIZES, OCL_TEST_TYPES_134, InterType::all()))
|
|
{
|
|
static const double coeffs[2][3] =
|
|
{
|
|
{ cos(CV_PI / 6), -sin(CV_PI / 6), 100.0 },
|
|
{ sin(CV_PI / 6), cos(CV_PI / 6) , -100.0 }
|
|
};
|
|
Mat M(2, 3, CV_64F, (void *)coeffs);
|
|
|
|
const WarpAffineParams params = GetParam();
|
|
const Size srcSize = get<0>(params);
|
|
const int type = get<1>(params), interpolation = get<2>(params);
|
|
const double eps = CV_MAT_DEPTH(type) <= CV_32S ? 1 : interpolation == INTER_CUBIC ? 2e-3 : 1e-4;
|
|
|
|
checkDeviceMaxMemoryAllocSize(srcSize, type);
|
|
|
|
UMat src(srcSize, type), dst(srcSize, type);
|
|
declare.in(src, WARMUP_RNG).out(dst);
|
|
|
|
OCL_TEST_CYCLE() cv::warpAffine(src, dst, M, srcSize, interpolation);
|
|
|
|
SANITY_CHECK(dst, eps);
|
|
}
|
|
|
|
///////////// WarpPerspective ////////////////////////
|
|
|
|
typedef WarpAffineParams WarpPerspectiveParams;
|
|
typedef TestBaseWithParam<WarpPerspectiveParams> WarpPerspectiveFixture;
|
|
|
|
OCL_PERF_TEST_P(WarpPerspectiveFixture, WarpPerspective,
|
|
::testing::Combine(OCL_TEST_SIZES, OCL_TEST_TYPES_134,
|
|
OCL_PERF_ENUM(InterType(INTER_NEAREST), InterType(INTER_LINEAR))))
|
|
{
|
|
static const double coeffs[3][3] =
|
|
{
|
|
{cos(CV_PI / 6), -sin(CV_PI / 6), 100.0},
|
|
{sin(CV_PI / 6), cos(CV_PI / 6), -100.0},
|
|
{0.0, 0.0, 1.0}
|
|
};
|
|
Mat M(3, 3, CV_64F, (void *)coeffs);
|
|
|
|
const WarpPerspectiveParams params = GetParam();
|
|
const Size srcSize = get<0>(params);
|
|
const int type = get<1>(params), interpolation = get<2>(params);
|
|
const double eps = CV_MAT_DEPTH(type) <= CV_32S ? 1 : 1e-4;
|
|
|
|
checkDeviceMaxMemoryAllocSize(srcSize, type);
|
|
|
|
UMat src(srcSize, type), dst(srcSize, type);
|
|
declare.in(src, WARMUP_RNG).out(dst);
|
|
|
|
OCL_TEST_CYCLE() cv::warpPerspective(src, dst, M, srcSize, interpolation);
|
|
|
|
SANITY_CHECK(dst, eps);
|
|
}
|
|
|
|
///////////// Resize ////////////////////////
|
|
|
|
typedef tuple<Size, MatType, InterType, double> ResizeParams;
|
|
typedef TestBaseWithParam<ResizeParams> ResizeFixture;
|
|
|
|
OCL_PERF_TEST_P(ResizeFixture, Resize,
|
|
::testing::Combine(OCL_TEST_SIZES, OCL_TEST_TYPES_134,
|
|
OCL_PERF_ENUM(InterType(INTER_NEAREST), InterType(INTER_LINEAR)),
|
|
::testing::Values(0.5, 2.0)))
|
|
{
|
|
const ResizeParams params = GetParam();
|
|
const Size srcSize = get<0>(params);
|
|
const int type = get<1>(params), interType = get<2>(params);
|
|
double scale = get<3>(params);
|
|
const Size dstSize(cvRound(srcSize.width * scale), cvRound(srcSize.height * scale));
|
|
const double eps = CV_MAT_DEPTH(type) <= CV_32S ? 1 : 1e-4;
|
|
|
|
checkDeviceMaxMemoryAllocSize(srcSize, type);
|
|
checkDeviceMaxMemoryAllocSize(dstSize, type);
|
|
|
|
UMat src(srcSize, type), dst(dstSize, type);
|
|
declare.in(src, WARMUP_RNG).out(dst);
|
|
|
|
OCL_TEST_CYCLE() cv::resize(src, dst, Size(), scale, scale, interType);
|
|
|
|
SANITY_CHECK(dst, eps);
|
|
}
|
|
|
|
typedef tuple<Size, MatType, double> ResizeAreaParams;
|
|
typedef TestBaseWithParam<ResizeAreaParams> ResizeAreaFixture;
|
|
|
|
OCL_PERF_TEST_P(ResizeAreaFixture, Resize,
|
|
::testing::Combine(OCL_TEST_SIZES, OCL_TEST_TYPES_134, ::testing::Values(0.3, 0.5, 0.6)))
|
|
{
|
|
const ResizeAreaParams params = GetParam();
|
|
const Size srcSize = get<0>(params);
|
|
const int type = get<1>(params);
|
|
double scale = get<2>(params);
|
|
const Size dstSize(cvRound(srcSize.width * scale), cvRound(srcSize.height * scale));
|
|
const double eps = CV_MAT_DEPTH(type) <= CV_32S ? 1 : 1e-4;
|
|
|
|
checkDeviceMaxMemoryAllocSize(srcSize, type);
|
|
checkDeviceMaxMemoryAllocSize(dstSize, type);
|
|
|
|
UMat src(srcSize, type), dst(dstSize, type);
|
|
declare.in(src, WARMUP_RNG).out(dst);
|
|
|
|
OCL_TEST_CYCLE() cv::resize(src, dst, Size(), scale, scale, cv::INTER_AREA);
|
|
|
|
SANITY_CHECK(dst, eps);
|
|
}
|
|
|
|
///////////// Remap ////////////////////////
|
|
|
|
typedef tuple<Size, MatType, InterType> RemapParams;
|
|
typedef TestBaseWithParam<RemapParams> RemapFixture;
|
|
|
|
OCL_PERF_TEST_P(RemapFixture, Remap,
|
|
::testing::Combine(OCL_TEST_SIZES, OCL_TEST_TYPES_134,
|
|
OCL_PERF_ENUM(InterType(INTER_NEAREST), InterType(INTER_LINEAR))))
|
|
{
|
|
const RemapParams params = GetParam();
|
|
const Size srcSize = get<0>(params);
|
|
const int type = get<1>(params), interpolation = get<2>(params), borderMode = BORDER_CONSTANT;
|
|
const double eps = CV_MAT_DEPTH(type) <= CV_32S ? 1 : 1e-4;
|
|
|
|
checkDeviceMaxMemoryAllocSize(srcSize, type);
|
|
|
|
UMat src(srcSize, type), dst(srcSize, type);
|
|
UMat xmap(srcSize, CV_32FC1), ymap(srcSize, CV_32FC1);
|
|
|
|
{
|
|
Mat _xmap = xmap.getMat(ACCESS_WRITE), _ymap = ymap.getMat(ACCESS_WRITE);
|
|
for (int i = 0; i < srcSize.height; ++i)
|
|
{
|
|
float * const xmap_row = _xmap.ptr<float>(i);
|
|
float * const ymap_row = _ymap.ptr<float>(i);
|
|
|
|
for (int j = 0; j < srcSize.width; ++j)
|
|
{
|
|
xmap_row[j] = (j - srcSize.width * 0.5f) * 0.75f + srcSize.width * 0.5f;
|
|
ymap_row[j] = (i - srcSize.height * 0.5f) * 0.75f + srcSize.height * 0.5f;
|
|
}
|
|
}
|
|
}
|
|
declare.in(src, WARMUP_RNG).in(xmap, ymap, WARMUP_READ).out(dst);
|
|
|
|
OCL_TEST_CYCLE() cv::remap(src, dst, xmap, ymap, interpolation, borderMode);
|
|
|
|
SANITY_CHECK(dst, eps);
|
|
}
|
|
|
|
} } // namespace cvtest::ocl
|
|
|
|
#endif // HAVE_OPENCL
|