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mirror of https://github.com/opencv/opencv.git synced 2026-07-30 15:53:03 +04:00

added cv::merge to T-API

This commit is contained in:
Ilya Lavrenov
2013-12-08 01:32:17 +04:00
parent d368bf5210
commit cd3f7fbf05
6 changed files with 367 additions and 12 deletions
-4
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@@ -42,8 +42,6 @@
#include "test_precomp.hpp"
#include "opencv2/ts/ocl_test.hpp"
#ifdef HAVE_OPENCL
namespace cvtest {
namespace ocl {
@@ -1036,5 +1034,3 @@ OCL_INSTANTIATE_TEST_CASE_P(Arithm, Magnitude, Combine(::testing::Values(CV_32F,
OCL_INSTANTIATE_TEST_CASE_P(Arithm, Flip, Combine(Values(CV_8U, CV_8S, CV_16U, CV_16S, CV_32S, CV_32F, CV_64F), Values(1, 2, 3, 4), Bool()));
} } // namespace cvtest::ocl
#endif // HAVE_OPENCL
+201
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@@ -0,0 +1,201 @@
/*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,
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// the use of this software, even if advised of the possibility of such damage.
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//M*/
#include "test_precomp.hpp"
#include "opencv2/ts/ocl_test.hpp"
namespace cvtest {
namespace ocl {
PARAM_TEST_CASE(MergeTestBase, MatDepth, Channels, bool)
{
int depth, cn;
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);
cn = GET_PARAM(1);
use_roi = GET_PARAM(2);
}
virtual void random_roi()
{
CV_Assert(cn >= 1 && cn <= 4);
Size roiSize = randomSize(1, MAX_VALUE);
{
Border src1Border = randomBorder(0, use_roi ? MAX_VALUE : 0);
randomSubMat(src1, src1_roi, roiSize, src1Border, depth, 2, 11);
Border src2Border = randomBorder(0, use_roi ? MAX_VALUE : 0);
randomSubMat(src2, src2_roi, roiSize, src2Border, depth, -1540, 1740);
Border src3Border = randomBorder(0, use_roi ? MAX_VALUE : 0);
randomSubMat(src3, src3_roi, roiSize, src3Border, depth, -1540, 1740);
Border src4Border = randomBorder(0, use_roi ? MAX_VALUE : 0);
randomSubMat(src4, src4_roi, roiSize, src4Border, depth, -1540, 1740);
}
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(src1)
UMAT_UPLOAD_INPUT_PARAMETER(src2)
UMAT_UPLOAD_INPUT_PARAMETER(src3)
UMAT_UPLOAD_INPUT_PARAMETER(src4)
UMAT_UPLOAD_OUTPUT_PARAMETER(dst)
src_roi.push_back(src1_roi), usrc_roi.push_back(usrc1_roi);
if (cn >= 2)
src_roi.push_back(src2_roi), usrc_roi.push_back(usrc2_roi);
if (cn >= 3)
src_roi.push_back(src3_roi), usrc_roi.push_back(usrc3_roi);
if (cn >= 4)
src_roi.push_back(src4_roi), usrc_roi.push_back(usrc4_roi);
}
void Near(double threshold = 0.)
{
EXPECT_MAT_NEAR(dst, udst, threshold);
EXPECT_MAT_NEAR(dst_roi, udst_roi, threshold);
}
};
typedef MergeTestBase Merge;
OCL_TEST_P(Merge, Accuracy)
{
for(int j = 0; j < test_loop_times; j++)
{
random_roi();
OCL_OFF(cv::merge(src_roi, dst_roi));
OCL_ON(cv::merge(usrc_roi, udst_roi));
Near();
}
}
//PARAM_TEST_CASE(SplitTestBase, MatType, int, bool)
//{
// int type;
// int channels;
// bool use_roi;
// cv::Mat src, src_roi;
// cv::Mat dst[MAX_CHANNELS], dst_roi[MAX_CHANNELS];
// cv::ocl::oclMat gsrc_whole, gsrc_roi;
// cv::ocl::oclMat gdst_whole[MAX_CHANNELS], gdst_roi[MAX_CHANNELS];
// virtual void SetUp()
// {
// type = GET_PARAM(0);
// channels = GET_PARAM(1);
// use_roi = GET_PARAM(2);
// }
// void random_roi()
// {
// Size roiSize = randomSize(1, MAX_VALUE);
// Border srcBorder = randomBorder(0, use_roi ? MAX_VALUE : 0);
// randomSubMat(src, src_roi, roiSize, srcBorder, CV_MAKETYPE(type, channels), 0, 256);
// generateOclMat(gsrc_whole, gsrc_roi, src, roiSize, srcBorder);
// for (int i = 0; i < channels; ++i)
// {
// Border dstBorder = randomBorder(0, use_roi ? MAX_VALUE : 0);
// randomSubMat(dst[i], dst_roi[i], roiSize, dstBorder, CV_MAKETYPE(type, 1), 5, 16);
// generateOclMat(gdst_whole[i], gdst_roi[i], dst[i], roiSize, dstBorder);
// }
// }
//};
//struct Split : SplitTestBase {};
//#ifdef ANDROID
//// NOTE: The test fail on Android is the top of the iceberg only
//// The real fail reason is memory access vialation somewhere else
//OCL_TEST_P(Split, DISABLED_Accuracy)
//#else
//OCL_TEST_P(Split, Accuracy)
//#endif
//{
// for(int j = 0; j < LOOP_TIMES; j++)
// {
// random_roi();
// cv::split(src_roi, dst_roi);
// cv::ocl::split(gsrc_roi, gdst_roi);
// for (int i = 0; i < channels; ++i)
// {
// EXPECT_MAT_NEAR(dst[i], gdst_whole[i], 0.0);
// EXPECT_MAT_NEAR(dst_roi[i], gdst_roi[i], 0.0);
// }
// }
//}
OCL_INSTANTIATE_TEST_CASE_P(SplitMerge, Merge, Combine(OCL_ALL_DEPTHS, OCL_ALL_CHANNELS, Bool()));
//INSTANTIATE_TEST_CASE_P(SplitMerge, Split , Combine(
// Values(CV_8U, CV_8S, CV_16U, CV_16S, CV_32S, CV_32F), Values(1, 2, 3, 4), Bool()));
} } // namespace cvtest::ocl