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init - 初始化项目

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Lee Nony
2022-05-06 01:58:53 +08:00
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modules/core/test/ocl/test_channels.cpp Normal file
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/*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, Institute Of Software Chinese Academy Of Science, all rights reserved.
// Copyright (C) 2010-2012, Advanced Micro Devices, Inc., all rights reserved.
// Copyright (C) 2010-2012, Multicoreware, Inc., all rights reserved.
// Third party copyrights are property of their respective owners.
//
// @Authors
// Jia Haipeng, jiahaipeng95@gmail.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 "../test_precomp.hpp"
#include "opencv2/ts/ocl_test.hpp"
#ifdef HAVE_OPENCL
namespace opencv_test {
namespace ocl {
//////////////////////////////////////// Merge ///////////////////////////////////////////////
PARAM_TEST_CASE(Merge, MatDepth, int, bool)
{
int depth, nsrc;
bool use_roi;
TEST_DECLARE_INPUT_PARAMETER(src1);
TEST_DECLARE_INPUT_PARAMETER(src2);
TEST_DECLARE_INPUT_PARAMETER(src3);
TEST_DECLARE_INPUT_PARAMETER(src4);
TEST_DECLARE_OUTPUT_PARAMETER(dst);
std::vector<Mat> src_roi;
std::vector<UMat> usrc_roi;
virtual void SetUp()
{
depth = GET_PARAM(0);
nsrc = GET_PARAM(1);
use_roi = GET_PARAM(2);
CV_Assert(nsrc >= 1 && nsrc <= 4);
}
int type()
{
return CV_MAKE_TYPE(depth, randomInt(1, 3));
}
void generateTestData()
{
Size roiSize = randomSize(1, MAX_VALUE);
{
Border src1Border = randomBorder(0, use_roi ? MAX_VALUE : 0);
randomSubMat(src1, src1_roi, roiSize, src1Border, type(), 2, 11);
Border src2Border = randomBorder(0, use_roi ? MAX_VALUE : 0);
randomSubMat(src2, src2_roi, roiSize, src2Border, type(), -1540, 1740);
Border src3Border = randomBorder(0, use_roi ? MAX_VALUE : 0);
randomSubMat(src3, src3_roi, roiSize, src3Border, type(), -1540, 1740);
Border src4Border = randomBorder(0, use_roi ? MAX_VALUE : 0);
randomSubMat(src4, src4_roi, roiSize, src4Border, type(), -1540, 1740);
}
UMAT_UPLOAD_INPUT_PARAMETER(src1);
UMAT_UPLOAD_INPUT_PARAMETER(src2);
UMAT_UPLOAD_INPUT_PARAMETER(src3);
UMAT_UPLOAD_INPUT_PARAMETER(src4);
src_roi.clear(); usrc_roi.clear(); // for test_loop_times > 1
src_roi.push_back(src1_roi), usrc_roi.push_back(usrc1_roi);
if (nsrc >= 2)
src_roi.push_back(src2_roi), usrc_roi.push_back(usrc2_roi);
if (nsrc >= 3)
src_roi.push_back(src3_roi), usrc_roi.push_back(usrc3_roi);
if (nsrc >= 4)
src_roi.push_back(src4_roi), usrc_roi.push_back(usrc4_roi);
int dcn = 0;
for (int i = 0; i < nsrc; ++i)
dcn += src_roi[i].channels();
Border dstBorder = randomBorder(0, use_roi ? MAX_VALUE : 0);
randomSubMat(dst, dst_roi, roiSize, dstBorder, CV_MAKE_TYPE(depth, dcn), 5, 16);
UMAT_UPLOAD_OUTPUT_PARAMETER(dst);
}
void Near(double threshold = 0.)
{
OCL_EXPECT_MATS_NEAR(dst, threshold);
}
};
OCL_TEST_P(Merge, Accuracy)
{
for(int j = 0; j < test_loop_times; j++)
{
generateTestData();
OCL_OFF(cv::merge(src_roi, dst_roi));
OCL_ON(cv::merge(usrc_roi, udst_roi));
Near();
}
}
//////////////////////////////////////// Split ///////////////////////////////////////////////
PARAM_TEST_CASE(Split, MatType, Channels, bool)
{
int depth, cn;
bool use_roi;
TEST_DECLARE_INPUT_PARAMETER(src);
TEST_DECLARE_OUTPUT_PARAMETER(dst1);
TEST_DECLARE_OUTPUT_PARAMETER(dst2);
TEST_DECLARE_OUTPUT_PARAMETER(dst3);
TEST_DECLARE_OUTPUT_PARAMETER(dst4);
std::vector<Mat> dst_roi, dst;
std::vector<UMat> udst_roi, udst;
virtual void SetUp()
{
depth = GET_PARAM(0);
cn = GET_PARAM(1);
use_roi = GET_PARAM(2);
CV_Assert(cn >= 1 && cn <= 4);
}
void generateTestData()
{
Size roiSize = randomSize(1, MAX_VALUE);
Border srcBorder = randomBorder(0, use_roi ? MAX_VALUE : 0);
randomSubMat(src, src_roi, roiSize, srcBorder, CV_MAKE_TYPE(depth, cn), 5, 16);
{
Border dst1Border = randomBorder(0, use_roi ? MAX_VALUE : 0);
randomSubMat(dst1, dst1_roi, roiSize, dst1Border, depth, 2, 11);
Border dst2Border = randomBorder(0, use_roi ? MAX_VALUE : 0);
randomSubMat(dst2, dst2_roi, roiSize, dst2Border, depth, -1540, 1740);
Border dst3Border = randomBorder(0, use_roi ? MAX_VALUE : 0);
randomSubMat(dst3, dst3_roi, roiSize, dst3Border, depth, -1540, 1740);
Border dst4Border = randomBorder(0, use_roi ? MAX_VALUE : 0);
randomSubMat(dst4, dst4_roi, roiSize, dst4Border, depth, -1540, 1740);
}
UMAT_UPLOAD_INPUT_PARAMETER(src);
UMAT_UPLOAD_OUTPUT_PARAMETER(dst1);
UMAT_UPLOAD_OUTPUT_PARAMETER(dst2);
UMAT_UPLOAD_OUTPUT_PARAMETER(dst3);
UMAT_UPLOAD_OUTPUT_PARAMETER(dst4);
dst_roi.push_back(dst1_roi), udst_roi.push_back(udst1_roi),
dst.push_back(dst1), udst.push_back(udst1);
if (cn >= 2)
dst_roi.push_back(dst2_roi), udst_roi.push_back(udst2_roi),
dst.push_back(dst2), udst.push_back(udst2);
if (cn >= 3)
dst_roi.push_back(dst3_roi), udst_roi.push_back(udst3_roi),
dst.push_back(dst3), udst.push_back(udst3);
if (cn >= 4)
dst_roi.push_back(dst4_roi), udst_roi.push_back(udst4_roi),
dst.push_back(dst4), udst.push_back(udst4);
}
};
OCL_TEST_P(Split, Accuracy)
{
for (int j = 0; j < test_loop_times; j++)
{
generateTestData();
OCL_OFF(cv::split(src_roi, dst_roi));
OCL_ON(cv::split(usrc_roi, udst_roi));
for (int i = 0; i < cn; ++i)
{
EXPECT_MAT_NEAR(dst[i], udst[i], 0.0);
EXPECT_MAT_NEAR(dst_roi[i], udst_roi[i], 0.0);
}
}
}
//////////////////////////////////////// MixChannels ///////////////////////////////////////////////
PARAM_TEST_CASE(MixChannels, MatType, bool)
{
int depth;
bool use_roi;
TEST_DECLARE_INPUT_PARAMETER(src1);
TEST_DECLARE_INPUT_PARAMETER(src2);
TEST_DECLARE_INPUT_PARAMETER(src3);
TEST_DECLARE_INPUT_PARAMETER(src4);
TEST_DECLARE_OUTPUT_PARAMETER(dst1);
TEST_DECLARE_OUTPUT_PARAMETER(dst2);
TEST_DECLARE_OUTPUT_PARAMETER(dst3);
TEST_DECLARE_OUTPUT_PARAMETER(dst4);
std::vector<Mat> src_roi, dst_roi, dst;
std::vector<UMat> usrc_roi, udst_roi, udst;
std::vector<int> fromTo;
virtual void SetUp()
{
depth = GET_PARAM(0);
use_roi = GET_PARAM(1);
}
// generate number of channels and create type
int type()
{
int cn = randomInt(1, 5);
return CV_MAKE_TYPE(depth, cn);
}
void generateTestData()
{
src_roi.clear();
dst_roi.clear();
dst.clear();
usrc_roi.clear();
udst_roi.clear();
udst.clear();
fromTo.clear();
Size roiSize = randomSize(1, MAX_VALUE);
{
Border src1Border = randomBorder(0, use_roi ? MAX_VALUE : 0);
randomSubMat(src1, src1_roi, roiSize, src1Border, type(), 2, 11);
Border src2Border = randomBorder(0, use_roi ? MAX_VALUE : 0);
randomSubMat(src2, src2_roi, roiSize, src2Border, type(), -1540, 1740);
Border src3Border = randomBorder(0, use_roi ? MAX_VALUE : 0);
randomSubMat(src3, src3_roi, roiSize, src3Border, type(), -1540, 1740);
Border src4Border = randomBorder(0, use_roi ? MAX_VALUE : 0);
randomSubMat(src4, src4_roi, roiSize, src4Border, type(), -1540, 1740);
}
{
Border dst1Border = randomBorder(0, use_roi ? MAX_VALUE : 0);
randomSubMat(dst1, dst1_roi, roiSize, dst1Border, type(), 2, 11);
Border dst2Border = randomBorder(0, use_roi ? MAX_VALUE : 0);
randomSubMat(dst2, dst2_roi, roiSize, dst2Border, type(), -1540, 1740);
Border dst3Border = randomBorder(0, use_roi ? MAX_VALUE : 0);
randomSubMat(dst3, dst3_roi, roiSize, dst3Border, type(), -1540, 1740);
Border dst4Border = randomBorder(0, use_roi ? MAX_VALUE : 0);
randomSubMat(dst4, dst4_roi, roiSize, dst4Border, type(), -1540, 1740);
}
UMAT_UPLOAD_INPUT_PARAMETER(src1);
UMAT_UPLOAD_INPUT_PARAMETER(src2);
UMAT_UPLOAD_INPUT_PARAMETER(src3);
UMAT_UPLOAD_INPUT_PARAMETER(src4);
UMAT_UPLOAD_OUTPUT_PARAMETER(dst1);
UMAT_UPLOAD_OUTPUT_PARAMETER(dst2);
UMAT_UPLOAD_OUTPUT_PARAMETER(dst3);
UMAT_UPLOAD_OUTPUT_PARAMETER(dst4);
int nsrc = randomInt(1, 5), ndst = randomInt(1, 5);
src_roi.push_back(src1_roi), usrc_roi.push_back(usrc1_roi);
if (nsrc >= 2)
src_roi.push_back(src2_roi), usrc_roi.push_back(usrc2_roi);
if (nsrc >= 3)
src_roi.push_back(src3_roi), usrc_roi.push_back(usrc3_roi);
if (nsrc >= 4)
src_roi.push_back(src4_roi), usrc_roi.push_back(usrc4_roi);
dst_roi.push_back(dst1_roi), udst_roi.push_back(udst1_roi),
dst.push_back(dst1), udst.push_back(udst1);
if (ndst >= 2)
dst_roi.push_back(dst2_roi), udst_roi.push_back(udst2_roi),
dst.push_back(dst2), udst.push_back(udst2);
if (ndst >= 3)
dst_roi.push_back(dst3_roi), udst_roi.push_back(udst3_roi),
dst.push_back(dst3), udst.push_back(udst3);
if (ndst >= 4)
dst_roi.push_back(dst4_roi), udst_roi.push_back(udst4_roi),
dst.push_back(dst4), udst.push_back(udst4);
int scntotal = 0, dcntotal = 0;
for (int i = 0; i < nsrc; ++i)
scntotal += src_roi[i].channels();
for (int i = 0; i < ndst; ++i)
dcntotal += dst_roi[i].channels();
int npairs = randomInt(1, std::min(scntotal, dcntotal) + 1);
fromTo.resize(npairs << 1);
for (int i = 0; i < npairs; ++i)
{
fromTo[i<<1] = randomInt(0, scntotal);
fromTo[(i<<1)+1] = randomInt(0, dcntotal);
}
}
};
OCL_TEST_P(MixChannels, Accuracy)
{
for (int j = 0; j < test_loop_times + 10; j++)
{
generateTestData();
OCL_OFF(cv::mixChannels(src_roi, dst_roi, fromTo));
OCL_ON(cv::mixChannels(usrc_roi, udst_roi, fromTo));
for (size_t i = 0, size = dst_roi.size(); i < size; ++i)
{
EXPECT_MAT_NEAR(dst[i], udst[i], 0.0);
EXPECT_MAT_NEAR(dst_roi[i], udst_roi[i], 0.0);
}
}
}
//////////////////////////////////////// InsertChannel ///////////////////////////////////////////////
PARAM_TEST_CASE(InsertChannel, MatDepth, Channels, bool)
{
int depth, cn, coi;
bool use_roi;
TEST_DECLARE_INPUT_PARAMETER(src);
TEST_DECLARE_OUTPUT_PARAMETER(dst);
virtual void SetUp()
{
depth = GET_PARAM(0);
cn = GET_PARAM(1);
use_roi = GET_PARAM(2);
}
void generateTestData()
{
Size roiSize = randomSize(1, MAX_VALUE);
coi = randomInt(0, cn);
Border srcBorder = randomBorder(0, use_roi ? MAX_VALUE : 0);
randomSubMat(src, src_roi, roiSize, srcBorder, depth, 2, 11);
Border dstBorder = randomBorder(0, use_roi ? MAX_VALUE : 0);
randomSubMat(dst, dst_roi, roiSize, dstBorder, CV_MAKE_TYPE(depth, cn), 5, 16);
UMAT_UPLOAD_INPUT_PARAMETER(src);
UMAT_UPLOAD_OUTPUT_PARAMETER(dst);
}
};
OCL_TEST_P(InsertChannel, Accuracy)
{
for(int j = 0; j < test_loop_times; j++)
{
generateTestData();
OCL_OFF(cv::insertChannel(src_roi, dst_roi, coi));
OCL_ON(cv::insertChannel(usrc_roi, udst_roi, coi));
OCL_EXPECT_MATS_NEAR(dst, 0);
}
}
//////////////////////////////////////// ExtractChannel ///////////////////////////////////////////////
PARAM_TEST_CASE(ExtractChannel, MatDepth, Channels, bool)
{
int depth, cn, coi;
bool use_roi;
TEST_DECLARE_INPUT_PARAMETER(src);
TEST_DECLARE_OUTPUT_PARAMETER(dst);
virtual void SetUp()
{
depth = GET_PARAM(0);
cn = GET_PARAM(1);
use_roi = GET_PARAM(2);
}
void generateTestData()
{
Size roiSize = randomSize(1, MAX_VALUE);
coi = randomInt(0, cn);
Border srcBorder = randomBorder(0, use_roi ? MAX_VALUE : 0);
randomSubMat(src, src_roi, roiSize, srcBorder, CV_MAKE_TYPE(depth, cn), 2, 11);
Border dstBorder = randomBorder(0, use_roi ? MAX_VALUE : 0);
randomSubMat(dst, dst_roi, roiSize, dstBorder, depth, 5, 16);
UMAT_UPLOAD_INPUT_PARAMETER(src);
UMAT_UPLOAD_OUTPUT_PARAMETER(dst);
}
};
OCL_TEST_P(ExtractChannel, Accuracy)
{
for(int j = 0; j < test_loop_times; j++)
{
generateTestData();
OCL_OFF(cv::extractChannel(src_roi, dst_roi, coi));
OCL_ON(cv::extractChannel(usrc_roi, udst_roi, coi));
OCL_EXPECT_MATS_NEAR(dst, 0);
}
}
//////////////////////////////////////// Instantiation ///////////////////////////////////////////////
OCL_INSTANTIATE_TEST_CASE_P(Channels, Merge, Combine(OCL_ALL_DEPTHS, Values(1, 2, 3, 4), Bool()));
OCL_INSTANTIATE_TEST_CASE_P(Channels, Split, Combine(OCL_ALL_DEPTHS, OCL_ALL_CHANNELS, Bool()));
OCL_INSTANTIATE_TEST_CASE_P(Channels, MixChannels, Combine(OCL_ALL_DEPTHS, Bool()));
OCL_INSTANTIATE_TEST_CASE_P(Channels, InsertChannel, Combine(OCL_ALL_DEPTHS, OCL_ALL_CHANNELS, Bool()));
OCL_INSTANTIATE_TEST_CASE_P(Channels, ExtractChannel, Combine(OCL_ALL_DEPTHS, OCL_ALL_CHANNELS, Bool()));
} } // namespace opencv_test::ocl
#endif // HAVE_OPENCL