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.

247 lines
8.0 KiB

/*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 {
///////////// equalizeHist ////////////////////////
typedef TestBaseWithParam<Size> EqualizeHistFixture;
OCL_PERF_TEST_P(EqualizeHistFixture, EqualizeHist, OCL_TEST_SIZES)
{
const Size srcSize = GetParam();
const double eps = 1;
UMat src(srcSize, CV_8UC1), dst(srcSize, CV_8UC1);
declare.in(src, WARMUP_RNG).out(dst);
OCL_TEST_CYCLE() cv::equalizeHist(src, dst);
SANITY_CHECK(dst, eps);
}
/////////// CopyMakeBorder //////////////////////
CV_ENUM(Border, BORDER_CONSTANT, BORDER_REPLICATE, BORDER_REFLECT, BORDER_WRAP, BORDER_REFLECT_101)
typedef tuple<Size, MatType, Border> CopyMakeBorderParamType;
typedef TestBaseWithParam<CopyMakeBorderParamType> CopyMakeBorderFixture;
OCL_PERF_TEST_P(CopyMakeBorderFixture, CopyMakeBorder,
::testing::Combine(OCL_TEST_SIZES, OCL_TEST_TYPES, Border::all()))
{
const CopyMakeBorderParamType params = GetParam();
const Size srcSize = get<0>(params);
const int type = get<1>(params), borderType = get<2>(params);
UMat src(srcSize, type), dst;
const Size dstSize = srcSize + Size(12, 12);
dst.create(dstSize, type);
declare.in(src, WARMUP_RNG).out(dst);
OCL_TEST_CYCLE() cv::copyMakeBorder(src, dst, 7, 5, 5, 7, borderType, cv::Scalar(1.0));
SANITY_CHECK(dst);
}
///////////// CornerMinEigenVal ////////////////////////
typedef Size_MatType CornerMinEigenValFixture;
OCL_PERF_TEST_P(CornerMinEigenValFixture, CornerMinEigenVal,
::testing::Combine(OCL_TEST_SIZES, OCL_PERF_ENUM(CV_8UC1, CV_32FC1)))
{
const Size_MatType_t params = GetParam();
const Size srcSize = get<0>(params);
const int type = get<1>(params), borderType = BORDER_REFLECT;
const int blockSize = 7, apertureSize = 1 + 2 * 3;
UMat src(srcSize, type), dst(srcSize, CV_32FC1);
declare.in(src, WARMUP_RNG).out(dst);
const int depth = CV_MAT_DEPTH(type);
const ERROR_TYPE errorType = depth == CV_8U ? ERROR_ABSOLUTE : ERROR_RELATIVE;
OCL_TEST_CYCLE() cv::cornerMinEigenVal(src, dst, blockSize, apertureSize, borderType);
SANITY_CHECK(dst, 1e-6, errorType);
}
///////////// CornerHarris ////////////////////////
typedef Size_MatType CornerHarrisFixture;
OCL_PERF_TEST_P(CornerHarrisFixture, CornerHarris,
::testing::Combine(OCL_TEST_SIZES, OCL_PERF_ENUM(CV_8UC1, CV_32FC1)))
{
const Size_MatType_t params = GetParam();
const Size srcSize = get<0>(params);
const int type = get<1>(params), borderType = BORDER_REFLECT;
UMat src(srcSize, type), dst(srcSize, CV_32FC1);
declare.in(src, WARMUP_RNG).out(dst);
OCL_TEST_CYCLE() cv::cornerHarris(src, dst, 5, 7, 0.1, borderType);
SANITY_CHECK(dst, 5e-5);
}
///////////// Integral ////////////////////////
typedef tuple<Size, MatDepth> IntegralParams;
typedef TestBaseWithParam<IntegralParams> IntegralFixture;
OCL_PERF_TEST_P(IntegralFixture, Integral1, ::testing::Combine(OCL_TEST_SIZES, OCL_PERF_ENUM(CV_32S, CV_32F)))
{
const IntegralParams params = GetParam();
const Size srcSize = get<0>(params);
const int ddepth = get<1>(params);
UMat src(srcSize, CV_8UC1), dst(srcSize + Size(1, 1), ddepth);
declare.in(src, WARMUP_RNG).out(dst);
OCL_TEST_CYCLE() cv::integral(src, dst, ddepth);
SANITY_CHECK(dst, 1e-6, ERROR_RELATIVE);
}
///////////// Threshold ////////////////////////
CV_ENUM(ThreshType, THRESH_BINARY, THRESH_BINARY_INV, THRESH_TRUNC, THRESH_TOZERO_INV)
typedef tuple<Size, MatType, ThreshType> ThreshParams;
typedef TestBaseWithParam<ThreshParams> ThreshFixture;
OCL_PERF_TEST_P(ThreshFixture, Threshold,
::testing::Combine(OCL_TEST_SIZES, OCL_TEST_TYPES, ThreshType::all()))
{
const ThreshParams params = GetParam();
const Size srcSize = get<0>(params);
const int srcType = get<1>(params);
const int threshType = get<2>(params);
const double maxValue = 220.0, threshold = 50;
UMat src(srcSize, srcType), dst(srcSize, srcType);
declare.in(src, WARMUP_RNG).out(dst);
OCL_TEST_CYCLE() cv::threshold(src, dst, threshold, maxValue, threshType);
SANITY_CHECK(dst);
}
///////////// CLAHE ////////////////////////
typedef TestBaseWithParam<Size> CLAHEFixture;
OCL_PERF_TEST_P(CLAHEFixture, CLAHE, OCL_TEST_SIZES)
{
const Size srcSize = GetParam();
UMat src(srcSize, CV_8UC1), dst(srcSize, CV_8UC1);
const double clipLimit = 40.0;
declare.in(src, WARMUP_RNG).out(dst);
cv::Ptr<cv::CLAHE> clahe = cv::createCLAHE(clipLimit);
OCL_TEST_CYCLE() clahe->apply(src, dst);
SANITY_CHECK(dst);
}
///////////// SqrBoxFilter ////////////////////////
typedef TestBaseWithParam<Size> SqrBoxFilterFixture;
OCL_PERF_TEST_P(SqrBoxFilterFixture, SqrBoxFilter, OCL_TEST_SIZES)
{
const Size srcSize = GetParam();
UMat src(srcSize, CV_8UC1), dst(srcSize, CV_32SC1);
declare.in(src, WARMUP_RNG).out(dst);
OCL_TEST_CYCLE() cv::sqrBoxFilter(src, dst, CV_32S, Size(3, 3));
SANITY_CHECK(dst);
}
///////////// Canny ////////////////////////
typedef tuple<int, bool> CannyParams;
typedef TestBaseWithParam<CannyParams> CannyFixture;
OCL_PERF_TEST_P(CannyFixture, Canny, ::testing::Combine(OCL_PERF_ENUM(3, 5), Bool()))
{
const CannyParams params = GetParam();
int apertureSize = get<0>(params);
bool L2Grad = get<1>(params);
Mat _img = imread(getDataPath("gpu/stereobm/aloe-L.png"), cv::IMREAD_GRAYSCALE);
ASSERT_TRUE(!_img.empty()) << "can't open aloe-L.png";
UMat img;
_img.copyTo(img);
UMat edges(img.size(), CV_8UC1);
declare.in(img, WARMUP_RNG).out(edges);
OCL_TEST_CYCLE() cv::Canny(img, edges, 50.0, 100.0, apertureSize, L2Grad);
if (apertureSize == 3)
SANITY_CHECK(edges);
else
SANITY_CHECK_NOTHING();
}
} } // namespace cvtest::ocl
#endif // HAVE_OPENCL