Open Source Computer Vision Library https://opencv.org/
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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, 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 materials provided with the distribution.
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// * The name of the copyright holders may not be used to endorse or promote products
// derived from this software without specific prior written permission.
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// 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,
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//M*/
#include "perf_precomp.hpp"
#ifdef HAVE_OPENCV_OCL
using namespace cv;
using namespace cv::ocl;
using namespace std;
typedef perf::TestBaseWithParam<std::string> OCL_SURF;
#define SURF_IMAGES \
"cv/detectors_descriptors_evaluation/images_datasets/leuven/img1.png",\
"stitching/a3.png"
#define OCL_TEST_CYCLE() for( ; startTimer(), next(); cv::ocl::finish(), stopTimer())
PERF_TEST_P(OCL_SURF, DISABLED_with_data_transfer, testing::Values(SURF_IMAGES))
{
string filename = getDataPath(GetParam());
Mat src = imread(filename, IMREAD_GRAYSCALE);
ASSERT_FALSE(src.empty());
Mat cpu_kp, cpu_dp;
declare.time(60);
if (getSelectedImpl() == "ocl")
{
SURF_OCL d_surf;
oclMat d_keypoints, d_descriptors;
OCL_TEST_CYCLE()
{
oclMat d_src(src);
d_surf(d_src, oclMat(), d_keypoints, d_descriptors);
d_keypoints.download(cpu_kp);
d_descriptors.download(cpu_dp);
}
}
else if (getSelectedImpl() == "plain")
{
cv::SURF surf;
std::vector<cv::KeyPoint> kp;
TEST_CYCLE() surf(src, Mat(), kp, cpu_dp);
}
SANITY_CHECK_NOTHING();
}
PERF_TEST_P(OCL_SURF, DISABLED_without_data_transfer, testing::Values(SURF_IMAGES))
{
string filename = getDataPath(GetParam());
Mat src = imread(filename, IMREAD_GRAYSCALE);
ASSERT_FALSE(src.empty());
Mat cpu_kp, cpu_dp;
declare.time(60);
if (getSelectedImpl() == "ocl")
{
SURF_OCL d_surf;
oclMat d_keypoints, d_descriptors, d_src(src);
OCL_TEST_CYCLE() d_surf(d_src, oclMat(), d_keypoints, d_descriptors);
}
else if (getSelectedImpl() == "plain")
{
cv::SURF surf;
std::vector<cv::KeyPoint> kp;
TEST_CYCLE() surf(src, Mat(), kp, cpu_dp);
}
SANITY_CHECK_NOTHING();
}
PERF_TEST_P(OCL_SURF, DISABLED_detect, testing::Values(SURF_IMAGES))
{
String filename = getDataPath(GetParam());
Mat frame = imread(filename, IMREAD_GRAYSCALE);
ASSERT_FALSE(frame.empty()) << "Unable to load source image " << filename;
declare.in(frame);
Mat mask;
vector<KeyPoint> points;
Ptr<Feature2D> detector;
if (getSelectedImpl() == "plain")
{
detector = new SURF;
TEST_CYCLE() detector->operator()(frame, mask, points, noArray());
}
else if (getSelectedImpl() == "ocl")
{
detector = new ocl::SURF_OCL;
OCL_TEST_CYCLE() detector->operator()(frame, mask, points, noArray());
}
else CV_TEST_FAIL_NO_IMPL();
SANITY_CHECK_KEYPOINTS(points, 1e-3);
}
PERF_TEST_P(OCL_SURF, DISABLED_extract, testing::Values(SURF_IMAGES))
{
String filename = getDataPath(GetParam());
Mat frame = imread(filename, IMREAD_GRAYSCALE);
ASSERT_FALSE(frame.empty()) << "Unable to load source image " << filename;
declare.in(frame);
Mat mask;
Ptr<Feature2D> detector;
vector<KeyPoint> points;
vector<float> descriptors;
if (getSelectedImpl() == "plain")
{
detector = new SURF;
detector->operator()(frame, mask, points, noArray());
TEST_CYCLE() detector->operator()(frame, mask, points, descriptors, true);
}
else if (getSelectedImpl() == "ocl")
{
detector = new ocl::SURF_OCL;
detector->operator()(frame, mask, points, noArray());
OCL_TEST_CYCLE() detector->operator()(frame, mask, points, descriptors, true);
}
else CV_TEST_FAIL_NO_IMPL();
SANITY_CHECK(descriptors, 1e-4);
}
PERF_TEST_P(OCL_SURF, DISABLED_full, testing::Values(SURF_IMAGES))
{
String filename = getDataPath(GetParam());
Mat frame = imread(filename, IMREAD_GRAYSCALE);
ASSERT_FALSE(frame.empty()) << "Unable to load source image " << filename;
declare.in(frame).time(90);
Mat mask;
Ptr<Feature2D> detector;
vector<KeyPoint> points;
vector<float> descriptors;
if (getSelectedImpl() == "plain")
{
detector = new SURF;
TEST_CYCLE() detector->operator()(frame, mask, points, descriptors, false);
}
else if (getSelectedImpl() == "ocl")
{
detector = new ocl::SURF_OCL;
detector->operator()(frame, mask, points, noArray());
OCL_TEST_CYCLE() detector->operator()(frame, mask, points, descriptors, false);
}
else CV_TEST_FAIL_NO_IMPL();
SANITY_CHECK_KEYPOINTS(points, 1e-3);
SANITY_CHECK(descriptors, 1e-4);
}
#endif // HAVE_OPENCV_OCL