/*M///////////////////////////////////////////////////////////////////////////////////////
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// @Authors
// Niko Li, newlife20080214@gmail.com
// Jia Haipeng, jiahaipeng95@gmail.com
// Shengen Yan, yanshengen@gmail.com
// Jiang Liyuan, lyuan001.good@163.com
// Rock Li, Rock.Li@amd.com
// Wu Zailong, bullet@yeah.net
// Xu Pang, pangxu010@163.com
// Sen Liu, swjtuls1987@126.com
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#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;
ranges.clear();
channels.clear();
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 test_by_pict()
{
Mat frame1 = readImage("optflow/RubberWhale1.png", IMREAD_GRAYSCALE);
UMat usrc;
frame1.copyTo(usrc);
int histSize = randomInt(3, 29);
float hue_range[] = { 0, 180 };
const float* ranges1 = { hue_range };
Mat hist1;
//compute histogram
calcHist(&frame1, 1, 0, Mat(), hist1, 1, &histSize, &ranges1, true, false);
normalize(hist1, hist1, 0, 255, NORM_MINMAX, -1, Mat());
Mat dst1;
UMat udst1, src, uhist1;
hist1.copyTo(uhist1);
std::vector<UMat> uims;
uims.push_back(usrc);
std::vector<float> urngs;
urngs.push_back(0);
urngs.push_back(180);
std::vector<int> chs;
chs.push_back(0);
OCL_OFF(calcBackProject(&frame1, 1, 0, hist1, dst1, &ranges1, 1, true));
OCL_ON(calcBackProject(uims, chs, uhist1, udst1, urngs, 1.0));
if (cv::ocl::useOpenCL() && cv::ocl::Device::getDefault().isAMD())
{
Size dstSize = dst1.size();
int nDiffs = (int)(0.03f*dstSize.height*dstSize.width);
//check if the dst mats are the same except 3% difference
EXPECT_MAT_N_DIFF(dst1, udst1, nDiffs);
}
else
{
EXPECT_MAT_NEAR(dst1, udst1, 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));
Size dstSize = dst_roi.size();
int nDiffs = std::max((int)(0.07f*dstSize.area()), 1);
//check if the dst mats are the same except 7% difference
EXPECT_MAT_N_DIFF(dst_roi, udst_roi, nDiffs);
}
}
OCL_TEST_P(CalcBackProject, Mat_RealImage)
{
//check on given image
test_by_pict();
}
//////////////////////////////// CalcHist //////////////////////////////////////////////
PARAM_TEST_CASE(CalcHist, bool)
{
bool useRoi;
TEST_DECLARE_INPUT_PARAMETER(src);
TEST_DECLARE_OUTPUT_PARAMETER(hist);
virtual void SetUp()
{
useRoi = GET_PARAM(0);
}
virtual void random_roi()
{
Size roiSize = randomSize(1, MAX_VALUE);
Border srcBorder = randomBorder(0, useRoi ? MAX_VALUE : 0);
randomSubMat(src, src_roi, roiSize, srcBorder, CV_8UC1, 0, 256);
Border histBorder = randomBorder(0, useRoi ? MAX_VALUE : 0);
randomSubMat(hist, hist_roi, Size(1, 256), histBorder, CV_32SC1, 0, MAX_VALUE);
UMAT_UPLOAD_INPUT_PARAMETER(src);
UMAT_UPLOAD_OUTPUT_PARAMETER(hist);
}
};
OCL_TEST_P(CalcHist, Mat)
{
const std::vector<int> channels(1, 0);
std::vector<float> ranges(2);
std::vector<int> histSize(1, 256);
ranges[0] = 0;
ranges[1] = 256;
for (int j = 0; j < test_loop_times; j++)
{
random_roi();
OCL_OFF(cv::calcHist(std::vector<Mat>(1, src_roi), channels, noArray(), hist_roi, histSize, ranges, false));
OCL_ON(cv::calcHist(std::vector<UMat>(1, usrc_roi), channels, noArray(), uhist_roi, histSize, ranges, false));
OCL_EXPECT_MATS_NEAR(hist, 0.0);
}
}
/////////////////////////////////////////////////////////////////////////////////////
OCL_INSTANTIATE_TEST_CASE_P(Imgproc, CalcBackProject, Combine(Values((MatDepth)CV_8U), Values(1, 2), Bool()));
OCL_INSTANTIATE_TEST_CASE_P(Imgproc, CalcHist, Values(true, false));
} } // namespace cvtest::ocl
#endif // HAVE_OPENCL