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/*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
// Niko Li, newlife20080214@gmail.com
// Jia Haipeng, jiahaipeng95@gmail.com
// Zero Lin, Zero.Lin@amd.com
// Zhang Ying, zhangying913@gmail.com
// Yao Wang, bitwangyaoyao@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,
// 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"
#ifdef HAVE_OPENCL
using namespace testing;
using namespace std;
using namespace cv;
PARAM_TEST_CASE(FilterTestBase, MatType,
int, // kernel size
Size, // dx, dy
int, // border type
double, // optional parameter
bool) // roi or not
{
bool isFP;
int type, borderType, ksize;
Size size;
double param;
bool useRoi;
Mat src, dst_whole, src_roi, dst_roi;
ocl::oclMat gsrc_whole, gsrc_roi, gdst_whole, gdst_roi;
virtual void SetUp()
{
type = GET_PARAM(0);
ksize = GET_PARAM(1);
size = GET_PARAM(2);
borderType = GET_PARAM(3);
param = GET_PARAM(4);
useRoi = GET_PARAM(5);
isFP = (CV_MAT_DEPTH(type) == CV_32F || CV_MAT_DEPTH(type) == CV_64F);
}
void random_roi(int minSize = 1)
{
if (minSize == 0)
minSize = ksize;
Size roiSize = randomSize(minSize, MAX_VALUE);
Border srcBorder = randomBorder(0, useRoi ? MAX_VALUE : 0);
randomSubMat(src, src_roi, roiSize, srcBorder, type, isFP ? 0 : 5, isFP ? 1 : 256);
Border dstBorder = randomBorder(0, useRoi ? MAX_VALUE : 0);
randomSubMat(dst_whole, dst_roi, roiSize, dstBorder, type, isFP ? 0.20 : 60, isFP ? 0.25 : 70);
generateOclMat(gsrc_whole, gsrc_roi, src, roiSize, srcBorder);
generateOclMat(gdst_whole, gdst_roi, dst_whole, roiSize, dstBorder);
}
void Near()
{
if (isFP)
Near(1e-6, true);
else
Near(1, false);
}
void Near(double threshold, bool relative)
{
Mat roi, whole;
gdst_whole.download(whole);
gdst_roi.download(roi);
if (relative)
{
EXPECT_MAT_NEAR_RELATIVE(dst_whole, whole, threshold);
EXPECT_MAT_NEAR_RELATIVE(dst_roi, roi, threshold);
}
else
{
EXPECT_MAT_NEAR(dst_whole, whole, threshold);
EXPECT_MAT_NEAR(dst_roi, roi, threshold);
}
}
};
/////////////////////////////////////////////////////////////////////////////////////////////////
// blur
typedef FilterTestBase Blur;
#ifdef ANDROID
OCL_TEST_P(Blur, DISABLED_Mat)
#else
OCL_TEST_P(Blur, Mat)
#endif
{
Size kernelSize(ksize, ksize);
for (int j = 0; j < LOOP_TIMES; j++)
{
random_roi(0); // TODO NOTE: min value for size is kernel size (temporary bypass border issues in CPU implementation)
blur(src_roi, dst_roi, kernelSize, Point(-1, -1), borderType);
ocl::blur(gsrc_roi, gdst_roi, kernelSize, Point(-1, -1), borderType); // TODO anchor
Near();
}
}
/////////////////////////////////////////////////////////////////////////////////////////////////
// Laplacian
typedef FilterTestBase LaplacianTest;
OCL_TEST_P(LaplacianTest, Accuracy)
{
double scale = param;
for (int j = 0; j < LOOP_TIMES; j++)
{
random_roi();
Laplacian(src_roi, dst_roi, -1, ksize, scale, 0, borderType);
ocl::Laplacian(gsrc_roi, gdst_roi, -1, ksize, scale, 0, borderType);
Near();
}
}
/////////////////////////////////////////////////////////////////////////////////////////////////
// erode & dilate
typedef FilterTestBase Erode;
OCL_TEST_P(Erode, Mat)
{
// erode or dilate kernel
Size kernelSize(ksize, ksize);
Mat kernel;
int iterations = (int)param;
for (int j = 0; j < LOOP_TIMES; j++)
{
random_roi();
kernel = randomMat(kernelSize, CV_8UC1, 0, 3);
cv::erode(src_roi, dst_roi, kernel, Point(-1, -1), iterations);//, borderType);
ocl::erode(gsrc_roi, gdst_roi, kernel, Point(-1, -1), iterations);//, borderType);
Near();
}
}
typedef FilterTestBase Dilate;
OCL_TEST_P(Dilate, Mat)
{
// erode or dilate kernel
Mat kernel;
int iterations = (int)param;
for (int j = 0; j < LOOP_TIMES; j++)
{
kernel = randomMat(Size(3, 3), CV_8UC1, 0, 3);
random_roi();
cv::dilate(src_roi, dst_roi, kernel, Point(-1, -1), iterations);
ocl::dilate(gsrc_roi, gdst_roi, kernel, Point(-1, -1), iterations); // TODO iterations, borderType
Near();
}
}
/////////////////////////////////////////////////////////////////////////////////////////////////
// Sobel
typedef FilterTestBase SobelTest;
OCL_TEST_P(SobelTest, Mat)
{
int dx = size.width, dy = size.height;
double scale = param;
for (int j = 0; j < LOOP_TIMES; j++)
{
random_roi();
Sobel(src_roi, dst_roi, -1, dx, dy, ksize, scale, /* delta */0, borderType);
ocl::Sobel(gsrc_roi, gdst_roi, -1, dx, dy, ksize, scale, /* delta */0, borderType);
Near();
}
}
/////////////////////////////////////////////////////////////////////////////////////////////////
// Scharr
typedef FilterTestBase ScharrTest;
OCL_TEST_P(ScharrTest, Mat)
{
int dx = size.width, dy = size.height;
double scale = param;
for (int j = 0; j < LOOP_TIMES; j++)
{
random_roi();
Scharr(src_roi, dst_roi, -1, dx, dy, scale, /* delta */ 0, borderType);
ocl::Scharr(gsrc_roi, gdst_roi, -1, dx, dy, scale, /* delta */ 0, borderType);
Near();
}
}
/////////////////////////////////////////////////////////////////////////////////////////////////
// GaussianBlur
typedef FilterTestBase GaussianBlurTest;
OCL_TEST_P(GaussianBlurTest, Mat)
{
for (int j = 0; j < LOOP_TIMES; j++)
{
random_roi();
double sigma1 = rng.uniform(0.1, 1.0);
double sigma2 = rng.uniform(0.1, 1.0);
GaussianBlur(src_roi, dst_roi, Size(ksize, ksize), sigma1, sigma2, borderType);
ocl::GaussianBlur(gsrc_roi, gdst_roi, Size(ksize, ksize), sigma1, sigma2, borderType);
Near(CV_MAT_DEPTH(type) == CV_8U ? 3 : 5e-5, false);
}
}
////////////////////////////////////////////////////////////////////////////////////////////////////
// Filter2D
typedef FilterTestBase Filter2D;
OCL_TEST_P(Filter2D, Mat)
{
for (int j = 0; j < LOOP_TIMES; j++)
{
random_roi();
Point anchor(-1, -1);
if (size.width >= 0)
anchor.x = size.width % ksize;
if (size.height >= 0)
anchor.y = size.height % ksize;
const Size kernelSize(ksize, ksize);
Mat kernel = randomMat(kernelSize, CV_32FC1, 0, 1.0);
kernel *= 1.0 / (double)(ksize * ksize);
cv::filter2D(src_roi, dst_roi, -1, kernel, anchor, 0.0, borderType);
ocl::filter2D(gsrc_roi, gdst_roi, -1, kernel, anchor, 0.0, borderType);
Near();
}
}
////////////////////////////////////////////////////////////////////////////////////////////////////
// Bilateral
typedef FilterTestBase Bilateral;
OCL_TEST_P(Bilateral, Mat)
{
for (int j = 0; j < LOOP_TIMES; j++)
{
random_roi();
double sigmacolor = rng.uniform(20, 100);
double sigmaspace = rng.uniform(10, 40);
cv::bilateralFilter(src_roi, dst_roi, ksize, sigmacolor, sigmaspace, borderType);
ocl::bilateralFilter(gsrc_roi, gdst_roi, ksize, sigmacolor, sigmaspace, borderType);
Near();
}
}
////////////////////////////////////////////////////////////////////////////////////////////////////
// AdaptiveBilateral
typedef FilterTestBase AdaptiveBilateral;
OCL_TEST_P(AdaptiveBilateral, DISABLED_Mat)
{
const Size kernelSize(ksize, ksize);
for (int j = 0; j < LOOP_TIMES; j++)
{
random_roi();
adaptiveBilateralFilter(src_roi, dst_roi, kernelSize, 5, 1, Point(-1, -1), borderType); // TODO anchor
ocl::adaptiveBilateralFilter(gsrc_roi, gdst_roi, kernelSize, 5, 1, Point(-1, -1), borderType);
Near();
}
}
/////////////////////////////////////////////////////////////////////////////////////////////////////
// MedianFilter
typedef FilterTestBase MedianFilter;
OCL_TEST_P(MedianFilter, Mat)
{
for (int i = 0; i < LOOP_TIMES; ++i)
{
random_roi();
medianBlur(src_roi, dst_roi, ksize);
ocl::medianFilter(gsrc_roi, gdst_roi, ksize);
Near();
}
}
//////////////////////////////////////////////////////////////////////////////////////////////////////////////
#define FILTER_BORDER_SET_NO_ISOLATED \
Values((int)BORDER_CONSTANT, (int)BORDER_REPLICATE, (int)BORDER_REFLECT, (int)BORDER_WRAP, (int)BORDER_REFLECT_101/*, \
(int)BORDER_CONSTANT|BORDER_ISOLATED, (int)BORDER_REPLICATE|BORDER_ISOLATED, \
(int)BORDER_REFLECT|BORDER_ISOLATED, (int)BORDER_WRAP|BORDER_ISOLATED, \
(int)BORDER_REFLECT_101|BORDER_ISOLATED*/) // WRAP and ISOLATED are not supported by cv:: version
#define FILTER_BORDER_SET_NO_WRAP_NO_ISOLATED \
Values((int)BORDER_CONSTANT, (int)BORDER_REPLICATE, (int)BORDER_REFLECT, /*(int)BORDER_WRAP,*/ (int)BORDER_REFLECT_101/*, \
(int)BORDER_CONSTANT|BORDER_ISOLATED, (int)BORDER_REPLICATE|BORDER_ISOLATED, \
(int)BORDER_REFLECT|BORDER_ISOLATED, (int)BORDER_WRAP|BORDER_ISOLATED, \
(int)BORDER_REFLECT_101|BORDER_ISOLATED*/) // WRAP and ISOLATED are not supported by cv:: version
#define FILTER_DATATYPES Values(CV_8UC1, CV_8UC2, CV_8UC3, CV_8UC4, \
CV_32FC1, CV_32FC3, CV_32FC4, \
CV_64FC1, CV_64FC3, CV_64FC4)
INSTANTIATE_TEST_CASE_P(Filter, Blur, Combine(
FILTER_DATATYPES,
Values(3, 5, 7),
Values(Size(0, 0)), // not used
FILTER_BORDER_SET_NO_WRAP_NO_ISOLATED,
Values(0.0), // not used
Bool()));
INSTANTIATE_TEST_CASE_P(Filter, LaplacianTest, Combine(
FILTER_DATATYPES,
Values(1, 3),
Values(Size(0, 0)), // not used
FILTER_BORDER_SET_NO_WRAP_NO_ISOLATED,
Values(1.0, 0.2, 3.0), // scalar
Bool()));
INSTANTIATE_TEST_CASE_P(Filter, Erode, Combine(
Values(CV_8UC1, CV_8UC3, CV_8UC4, CV_32FC1, CV_32FC3, CV_32FC4),
Values(3, 5, 7),
Values(Size(0, 0)), // not used
Values(0), // not used
Values(1.0, 2.0, 3.0),
Bool()));
INSTANTIATE_TEST_CASE_P(Filter, Dilate, Combine(
Values(CV_8UC1, CV_8UC3, CV_8UC4, CV_32FC1, CV_32FC3, CV_32FC4),
Values(3, 5, 7),
Values(Size(0, 0)), // not used
Values(0), // not used
Values(1.0, 2.0, 3.0),
Bool()));
INSTANTIATE_TEST_CASE_P(Filter, SobelTest, Combine(
Values(CV_8UC1, CV_8UC3, CV_8UC4, CV_32FC1, CV_32FC3, CV_32FC4),
Values(3, 5),
Values(Size(1, 0), Size(1, 1), Size(2, 0), Size(2, 1)), // dx, dy
FILTER_BORDER_SET_NO_WRAP_NO_ISOLATED,
Values(0.0), // not used
Bool()));
INSTANTIATE_TEST_CASE_P(Filter, ScharrTest, Combine(
Values(CV_8UC1, CV_8UC3, CV_8UC4, CV_32FC1, CV_32FC3, CV_32FC4),
Values(1),
Values(Size(0, 1), Size(1, 0)), // dx, dy
FILTER_BORDER_SET_NO_WRAP_NO_ISOLATED,
Values(1.0, 0.2), // scalar
Bool()));
INSTANTIATE_TEST_CASE_P(Filter, GaussianBlurTest, Combine(
Values(CV_8UC1, CV_8UC3, CV_8UC4, CV_32FC1, CV_32FC4),
Values(3, 5),
Values(Size(0, 0)), // not used
FILTER_BORDER_SET_NO_WRAP_NO_ISOLATED,
Values(0.0), // not used
Bool()));
INSTANTIATE_TEST_CASE_P(Filter, Filter2D, testing::Combine(
FILTER_DATATYPES,
Values(3, 15), // TODO 25: CPU implementation has some issues
Values(Size(-1, -1), Size(0, 0), Size(2, 1)), // anchor
FILTER_BORDER_SET_NO_WRAP_NO_ISOLATED,
Values(0.0), // not used
Bool()));
INSTANTIATE_TEST_CASE_P(Filter, Bilateral, Combine(
Values(CV_8UC1, CV_8UC3),
Values(5, 9),
Values(Size(0, 0)), // not used
FILTER_BORDER_SET_NO_ISOLATED,
Values(0.0), // not used
Bool()));
INSTANTIATE_TEST_CASE_P(Filter, AdaptiveBilateral, Combine(
Values(CV_8UC1, CV_8UC3),
Values(5, 9),
Values(Size(0, 0)), // not used
FILTER_BORDER_SET_NO_WRAP_NO_ISOLATED,
Values(0.0), // not used
Bool()));
INSTANTIATE_TEST_CASE_P(Filter, MedianFilter, Combine(
Values(CV_8UC1, CV_8UC4, CV_32FC1, CV_32FC4),
Values(3, 5),
Values(Size(0, 0)), // not used
Values(0), // not used
Values(0.0), // not used
Bool()));
#endif // HAVE_OPENCL
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