mirror of
https://github.com/opencv/opencv.git
synced 2024-12-11 22:59:16 +08:00
278 lines
8.7 KiB
C++
278 lines
8.7 KiB
C++
/*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.
|
|
// Copyright (C) 2014, Itseez, Inc., all rights reserved.
|
|
// Third party copyrights are property of their respective owners.
|
|
//
|
|
// @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
|
|
//
|
|
// 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 "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);
|
|
}
|
|
|
|
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);
|
|
}
|
|
|
|
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
|