opencv/modules/ocl/test/test_split_merge.cpp
2013-10-19 01:17:46 +04:00

265 lines
7.4 KiB
C++

/*M///////////////////////////////////////////////////////////////////////////////////////
//
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// 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.
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// @Authors
// Jia Haipeng, jiahaipeng95@gmail.com
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#include "test_precomp.hpp"
#ifdef HAVE_OPENCL
using namespace cvtest;
using namespace testing;
using namespace std;
#define MAX_CHANNELS 4
PARAM_TEST_CASE(MergeTestBase, MatDepth, Channels, bool)
{
int type;
int channels;
bool use_roi;
//src mat
cv::Mat mat[MAX_CHANNELS];
//dst mat
cv::Mat dst;
// set up roi
int roicols, roirows;
int srcx[MAX_CHANNELS];
int srcy[MAX_CHANNELS];
int dstx, dsty;
//src mat with roi
cv::Mat mat_roi[MAX_CHANNELS];
//dst mat with roi
cv::Mat dst_roi;
//ocl dst mat for testing
cv::ocl::oclMat gdst_whole;
//ocl mat with roi
cv::ocl::oclMat gmat[MAX_CHANNELS];
cv::ocl::oclMat gdst;
virtual void SetUp()
{
type = GET_PARAM(0);
channels = GET_PARAM(1);
use_roi = GET_PARAM(2);
cv::Size size(MWIDTH, MHEIGHT);
for (int i = 0; i < channels; ++i)
mat[i] = randomMat(size, CV_MAKETYPE(type, 1), 5, 16, false);
dst = randomMat(size, CV_MAKETYPE(type, channels), 5, 16, false);
}
void random_roi()
{
if (use_roi)
{
//randomize ROI
roicols = rng.uniform(1, mat[0].cols);
roirows = rng.uniform(1, mat[0].rows);
for (int i = 0; i < channels; ++i)
{
srcx[i] = rng.uniform(0, mat[i].cols - roicols);
srcy[i] = rng.uniform(0, mat[i].rows - roirows);
}
dstx = rng.uniform(0, dst.cols - roicols);
dsty = rng.uniform(0, dst.rows - roirows);
}
else
{
roicols = mat[0].cols;
roirows = mat[0].rows;
for (int i = 0; i < channels; ++i)
srcx[i] = srcy[i] = 0;
dstx = dsty = 0;
}
for (int i = 0; i < channels; ++i)
mat_roi[i] = mat[i](Rect(srcx[i], srcy[i], roicols, roirows));
dst_roi = dst(Rect(dstx, dsty, roicols, roirows));
gdst_whole = dst;
gdst = gdst_whole(Rect(dstx, dsty, roicols, roirows));
for (int i = 0; i < channels; ++i)
gmat[i] = mat_roi[i];
}
};
struct Merge : MergeTestBase {};
OCL_TEST_P(Merge, Accuracy)
{
for(int j = 0; j < LOOP_TIMES; j++)
{
random_roi();
cv::merge(mat_roi, channels, dst_roi);
cv::ocl::merge(gmat, channels, gdst);
EXPECT_MAT_NEAR(dst, Mat(gdst_whole), 0.0);
}
}
PARAM_TEST_CASE(SplitTestBase, MatType, int, bool)
{
int type;
int channels;
bool use_roi;
//src mat
cv::Mat mat;
//dstmat
cv::Mat dst[MAX_CHANNELS];
// set up roi
int roicols, roirows;
int srcx, srcy;
int dstx[MAX_CHANNELS];
int dsty[MAX_CHANNELS];
//src mat with roi
cv::Mat mat_roi;
//dst mat with roi
cv::Mat dst_roi[MAX_CHANNELS];
//ocl dst mat for testing
cv::ocl::oclMat gdst_whole[MAX_CHANNELS];
//ocl mat with roi
cv::ocl::oclMat gmat;
cv::ocl::oclMat gdst[MAX_CHANNELS];
virtual void SetUp()
{
type = GET_PARAM(0);
channels = GET_PARAM(1);
use_roi = GET_PARAM(2);
cv::Size size(MWIDTH, MHEIGHT);
mat = randomMat(size, CV_MAKETYPE(type, channels), 5, 16, false);
for (int i = 0; i < channels; ++i)
dst[i] = randomMat(size, CV_MAKETYPE(type, 1), 5, 16, false); }
void random_roi()
{
if (use_roi)
{
//randomize ROI
roicols = rng.uniform(1, mat.cols);
roirows = rng.uniform(1, mat.rows);
srcx = rng.uniform(0, mat.cols - roicols);
srcy = rng.uniform(0, mat.rows - roirows);
for (int i = 0; i < channels; ++i)
{
dstx[i] = rng.uniform(0, dst[i].cols - roicols);
dsty[i] = rng.uniform(0, dst[i].rows - roirows);
}
}
else
{
roicols = mat.cols;
roirows = mat.rows;
srcx = srcy = 0;
for (int i = 0; i < channels; ++i)
dstx[i] = dsty[i] = 0;
}
mat_roi = mat(Rect(srcx, srcy, roicols, roirows));
for (int i = 0; i < channels; ++i)
dst_roi[i] = dst[i](Rect(dstx[i], dsty[i], roicols, roirows));
for (int i = 0; i < channels; ++i)
{
gdst_whole[i] = dst[i];
gdst[i] = gdst_whole[i](Rect(dstx[i], dsty[i], roicols, roirows));
}
gmat = mat_roi;
}
};
struct Split : SplitTestBase {};
OCL_TEST_P(Split, Accuracy)
{
for(int j = 0; j < LOOP_TIMES; j++)
{
random_roi();
cv::split(mat_roi, dst_roi);
cv::ocl::split(gmat, gdst);
for (int i = 0; i < channels; ++i)
EXPECT_MAT_NEAR(dst[i], Mat(gdst_whole[i]), 0.0);
}
}
INSTANTIATE_TEST_CASE_P(SplitMerge, Merge, Combine(
Values(CV_8U, CV_8S, CV_16U, CV_16S, CV_32S, CV_32F), Values(1, 2, 3, 4), 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()));
#endif // HAVE_OPENCL