mirror of
https://github.com/opencv/opencv.git
synced 2024-11-25 11:40:44 +08:00
214 lines
6.5 KiB
C++
214 lines
6.5 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, 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.
|
|
//
|
|
// * 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 "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
|