opencv/modules/ocl/test/test_match_template.cpp

/*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, Multicoreware, Inc., all rights reserved.
// Copyright (C) 2010-2012, Advanced Micro Devices, Inc., all rights reserved.
// Third party copyrights are property of their respective owners.
//
// @Authors
//    Peng Xiao, pengxiao@multicorewareinc.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 oclMaterials 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 "precomp.hpp"
#define PERF_TEST 0

////////////////////////////////////////////////////////////////////////////////
// MatchTemplate
#define ALL_TEMPLATE_METHODS testing::Values(TemplateMethod(cv::TM_SQDIFF), TemplateMethod(cv::TM_CCORR), TemplateMethod(cv::TM_CCOEFF), TemplateMethod(cv::TM_SQDIFF_NORMED), TemplateMethod(cv::TM_CCORR_NORMED), TemplateMethod(cv::TM_CCOEFF_NORMED))

IMPLEMENT_PARAM_CLASS(TemplateSize, cv::Size);

const char* TEMPLATE_METHOD_NAMES[6] = {"TM_SQDIFF", "TM_SQDIFF_NORMED", "TM_CCORR", "TM_CCORR_NORMED", "TM_CCOEFF", "TM_CCOEFF_NORMED"};

PARAM_TEST_CASE(MatchTemplate8U, cv::Size, TemplateSize, Channels, TemplateMethod)
{
    cv::Size size;
    cv::Size templ_size;
    int cn;
    int method;
	std::vector<cv::ocl::Info> oclinfo;

    virtual void SetUp()
    {
        size = GET_PARAM(0);
        templ_size = GET_PARAM(1);
        cn = GET_PARAM(2);
        method = GET_PARAM(3);
        int devnums = getDevice(oclinfo, OPENCV_DEFAULT_OPENCL_DEVICE);
        CV_Assert(devnums > 0);
    }
};

TEST_P(MatchTemplate8U, Accuracy)
{

	std::cout << "Method: " << TEMPLATE_METHOD_NAMES[method] << std::endl;
	std::cout << "Image Size: (" << size.width << ", " << size.height << ")"<< std::endl;
	std::cout << "Template Size: (" << templ_size.width << ", " << templ_size.height << ")"<< std::endl;
	std::cout << "Channels: " << cn << std::endl;

	cv::Mat image = randomMat(size, CV_MAKETYPE(CV_8U, cn));
    cv::Mat templ = randomMat(templ_size, CV_MAKETYPE(CV_8U, cn));

    cv::ocl::oclMat dst, ocl_image(image), ocl_templ(templ);
	cv::ocl::matchTemplate(ocl_image, ocl_templ, dst, method);

    cv::Mat dst_gold;
    cv::matchTemplate(image, templ, dst_gold, method);

	char sss [100] = "";

	cv::Mat mat_dst;
	dst.download(mat_dst);


    EXPECT_MAT_NEAR(dst_gold, mat_dst, templ_size.area() * 1e-1, sss);

#if PERF_TEST
	{
		P_TEST_FULL({}, {cv::ocl::matchTemplate(ocl_image, ocl_templ, dst, method);}, {});
		P_TEST_FULL({}, {cv::matchTemplate(image, templ, dst_gold, method);}, {});
	}
#endif // PERF_TEST
}

PARAM_TEST_CASE(MatchTemplate32F, cv::Size, TemplateSize, Channels, TemplateMethod)
{
    cv::Size size;
    cv::Size templ_size;
    int cn;
    int method;
	std::vector<cv::ocl::Info> oclinfo;

    virtual void SetUp()
    {
        size = GET_PARAM(0);
        templ_size = GET_PARAM(1);
        cn = GET_PARAM(2);
        method = GET_PARAM(3);
        int devnums = getDevice(oclinfo, OPENCV_DEFAULT_OPENCL_DEVICE);
        CV_Assert(devnums > 0);
    }
};

TEST_P(MatchTemplate32F, Accuracy)
{
    cv::Mat image = randomMat(size, CV_MAKETYPE(CV_32F, cn));
    cv::Mat templ = randomMat(templ_size, CV_MAKETYPE(CV_32F, cn));

    cv::ocl::oclMat dst, ocl_image(image), ocl_templ(templ);
	cv::ocl::matchTemplate(ocl_image, ocl_templ, dst, method);

    cv::Mat dst_gold;
    cv::matchTemplate(image, templ, dst_gold, method);

	char sss [100] = "";

	cv::Mat mat_dst;
	dst.download(mat_dst);

    EXPECT_MAT_NEAR(dst_gold, mat_dst, templ_size.area() * 1e-1, sss);

#if PERF_TEST
	{
		std::cout << "Method: " << TEMPLATE_METHOD_NAMES[method] << std::endl;
		std::cout << "Image Size: (" << size.width << ", " << size.height << ")"<< std::endl;
		std::cout << "Template Size: (" << templ_size.width << ", " << templ_size.height << ")"<< std::endl;
		std::cout << "Channels: " << cn << std::endl;
		P_TEST_FULL({}, {cv::ocl::matchTemplate(ocl_image, ocl_templ, dst, method);}, {});
		P_TEST_FULL({}, {cv::matchTemplate(image, templ, dst_gold, method);}, {});
	}
#endif // PERF_TEST
}

INSTANTIATE_TEST_CASE_P(GPU_ImgProc, MatchTemplate8U, 
	testing::Combine(
    DIFFERENT_SIZES,
    testing::Values(TemplateSize(cv::Size(5, 5)), TemplateSize(cv::Size(16, 16))/*, TemplateSize(cv::Size(30, 30))*/),
    testing::Values(Channels(1), Channels(4)),
	ALL_TEMPLATE_METHODS
	)
);

INSTANTIATE_TEST_CASE_P(GPU_ImgProc, MatchTemplate32F, testing::Combine(
    DIFFERENT_SIZES,
    testing::Values(TemplateSize(cv::Size(5, 5)), TemplateSize(cv::Size(16, 16))/*, TemplateSize(cv::Size(30, 30))*/),
    testing::Values(Channels(1), Channels(4)),
    testing::Values(TemplateMethod(cv::TM_SQDIFF), TemplateMethod(cv::TM_CCORR))));