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ported cv::calcBackProject to T-API

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This commit is contained in:
Ilya Lavrenov
2013-12-23 17:37:41 +04:00
parent 0966e5ffa1
commit d64bea00b2
4 changed files with 466 additions and 0 deletions
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modules/imgproc/test/ocl/test_histogram.cpp Normal file
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/*M///////////////////////////////////////////////////////////////////////////////////////
//
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//
// 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.
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// Niko Li, newlife20080214@gmail.com
// Jia Haipeng, jiahaipeng95@gmail.com
// Shengen Yan, yanshengen@gmail.com
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// loss of use, data, or profits; or business interruption) however caused
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//M*/
#include "test_precomp.hpp"
#include "cvconfig.h"
#include "opencv2/ts/ocl_test.hpp"
#ifdef HAVE_OPENCL
namespace cvtest {
namespace ocl {
///////////////////////////////////////////////////////////////////////////////
PARAM_TEST_CASE(CalcBackProject, MatDepth, int, bool)
{
int depth, N;
bool useRoi;
std::vector<float> ranges;
std::vector<int> channels;
double scale;
std::vector<Mat> images;
std::vector<Mat> images_roi;
std::vector<UMat> uimages;
std::vector<UMat> uimages_roi;
TEST_DECLARE_INPUT_PARAMETER(hist)
TEST_DECLARE_OUTPUT_PARAMETER(dst)
virtual void SetUp()
{
depth = GET_PARAM(0);
N = GET_PARAM(1);
useRoi = GET_PARAM(2);
ASSERT_GE(2, N);
images.resize(N);
images_roi.resize(N);
uimages.resize(N);
uimages_roi.resize(N);
}
virtual void random_roi()
{
Size roiSize = randomSize(1, MAX_VALUE);
int totalChannels = 0;
for (int i = 0; i < N; ++i)
{
Border srcBorder = randomBorder(0, useRoi ? MAX_VALUE : 0);
int cn = randomInt(1, 5);
randomSubMat(images[i], images_roi[i], roiSize, srcBorder, CV_MAKE_TYPE(depth, cn), 0, 125);
ranges.push_back(10);
ranges.push_back(100);
channels.push_back(randomInt(0, cn) + totalChannels);
totalChannels += cn;
}
Mat tmpHist;
{
std::vector<int> hist_size(N);
for (int i = 0 ; i < N; ++i)
hist_size[i] = randomInt(10, 50);
cv::calcHist(images_roi, channels, noArray(), tmpHist, hist_size, ranges);
ASSERT_EQ(CV_32FC1, tmpHist.type());
}
Border histBorder = randomBorder(0, useRoi ? MAX_VALUE : 0);
randomSubMat(hist, hist_roi, tmpHist.size(), histBorder, tmpHist.type(), 0, MAX_VALUE);
tmpHist.copyTo(hist_roi);
Border dstBorder = randomBorder(0, useRoi ? MAX_VALUE : 0);
randomSubMat(dst, dst_roi, roiSize, dstBorder, CV_MAKE_TYPE(depth, 1), 5, 16);
for (int i = 0; i < N; ++i)
{
images[i].copyTo(uimages[i]);
Size _wholeSize;
Point ofs;
images_roi[i].locateROI(_wholeSize, ofs);
uimages_roi[i] = uimages[i](Rect(ofs.x, ofs.y, images_roi[i].cols, images_roi[i].rows));
}
UMAT_UPLOAD_INPUT_PARAMETER(hist)
UMAT_UPLOAD_OUTPUT_PARAMETER(dst)
scale = randomDouble(0.1, 1);
}
void Near()
{
// std::cout << "Src: " << std::endl << src_roi[0] << std::endl;
// std::cout << "Hist: " << std::endl << hist_roi << std::endl;
std::cout << "OpenCV: " << std::endl << dst_roi << std::endl;
std::cout << "OpenCL: " << std::endl << udst_roi.getMat(ACCESS_READ) << std::endl;
Mat diff;
cv::absdiff(dst_roi, udst_roi, diff);
std::cout << "Difference: " << std::endl << diff << std::endl;
OCL_EXPECT_MATS_NEAR(dst, 0.0)
}
};
//////////////////////////////// CalcBackProject //////////////////////////////////////////////
OCL_TEST_P(CalcBackProject, Mat)
{
for (int j = 0; j < test_loop_times; j++)
{
random_roi();
OCL_OFF(cv::calcBackProject(images_roi, channels, hist_roi, dst_roi, ranges, scale));
OCL_ON(cv::calcBackProject(uimages_roi, channels, uhist_roi, udst_roi, ranges, scale));
Near();
}
}
/////////////////////////////////////////////////////////////////////////////////////
OCL_INSTANTIATE_TEST_CASE_P(Imgproc, CalcBackProject, Combine(Values((MatDepth)CV_8U), Values(1, 2), Bool()));
} } // namespace cvtest::ocl
#endif // HAVE_OPENCL