479 lines
15 KiB
C++
479 lines
15 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) 2000-2008, Intel Corporation, all rights reserved.
|
|
// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
|
|
// Third party copyrights are property of their respective owners.
|
|
//
|
|
// 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 <cstdio>
|
|
|
|
#include "cvconfig.h"
|
|
|
|
#include "opencv2/ts/ts.hpp"
|
|
#include "opencv2/ts/gpu_perf.hpp"
|
|
|
|
#include "opencv2/core/core.hpp"
|
|
#include "opencv2/gpu/gpu.hpp"
|
|
#include "opencv2/highgui/highgui.hpp"
|
|
#include "opencv2/video/video.hpp"
|
|
#include "opencv2/legacy/legacy.hpp"
|
|
|
|
static const char * impls[] = {
|
|
"cuda",
|
|
"plain"
|
|
};
|
|
|
|
CV_PERF_TEST_MAIN_WITH_IMPLS(gpu_perf4au, impls, perf::printCudaInfo())
|
|
|
|
//////////////////////////////////////////////////////////
|
|
// HoughLinesP
|
|
|
|
DEF_PARAM_TEST_1(Image, std::string);
|
|
|
|
PERF_TEST_P(Image, HoughLinesP, testing::Values(std::string("im1_1280x800.jpg")))
|
|
{
|
|
declare.time(30.0);
|
|
|
|
std::string fileName = GetParam();
|
|
|
|
const float rho = 1.f;
|
|
const float theta = 1.f;
|
|
const int threshold = 40;
|
|
const int minLineLength = 20;
|
|
const int maxLineGap = 5;
|
|
|
|
cv::Mat image = cv::imread(fileName, cv::IMREAD_GRAYSCALE);
|
|
|
|
if (PERF_RUN_GPU())
|
|
{
|
|
cv::gpu::GpuMat d_image(image);
|
|
cv::gpu::GpuMat d_lines;
|
|
cv::gpu::HoughLinesBuf d_buf;
|
|
|
|
cv::gpu::HoughLinesP(d_image, d_lines, d_buf, rho, theta, minLineLength, maxLineGap);
|
|
|
|
TEST_CYCLE()
|
|
{
|
|
cv::gpu::HoughLinesP(d_image, d_lines, d_buf, rho, theta, minLineLength, maxLineGap);
|
|
}
|
|
}
|
|
else
|
|
{
|
|
cv::Mat mask;
|
|
cv::Canny(image, mask, 50, 100);
|
|
|
|
std::vector<cv::Vec4i> lines;
|
|
cv::HoughLinesP(mask, lines, rho, theta, threshold, minLineLength, maxLineGap);
|
|
|
|
TEST_CYCLE()
|
|
{
|
|
cv::HoughLinesP(mask, lines, rho, theta, threshold, minLineLength, maxLineGap);
|
|
}
|
|
}
|
|
|
|
SANITY_CHECK(0);
|
|
}
|
|
|
|
//////////////////////////////////////////////////////////
|
|
// GoodFeaturesToTrack
|
|
|
|
DEF_PARAM_TEST(Image_Depth, std::string, perf::MatDepth);
|
|
|
|
PERF_TEST_P(Image_Depth, GoodFeaturesToTrack,
|
|
testing::Combine(
|
|
testing::Values(std::string("im1_1280x800.jpg")),
|
|
testing::Values(CV_8U, CV_16U)
|
|
))
|
|
{
|
|
declare.time(60);
|
|
|
|
const std::string fileName = std::tr1::get<0>(GetParam());
|
|
const int depth = std::tr1::get<1>(GetParam());
|
|
|
|
const int maxCorners = 5000;
|
|
const double qualityLevel = 0.05;
|
|
const int minDistance = 5;
|
|
const int blockSize = 3;
|
|
const bool useHarrisDetector = true;
|
|
const double k = 0.05;
|
|
|
|
cv::Mat src = cv::imread(fileName, cv::IMREAD_GRAYSCALE);
|
|
if (src.empty())
|
|
FAIL() << "Unable to load source image [" << fileName << "]";
|
|
|
|
if (depth != CV_8U)
|
|
src.convertTo(src, depth);
|
|
|
|
cv::Mat mask(src.size(), CV_8UC1, cv::Scalar::all(1));
|
|
mask(cv::Rect(0, 0, 100, 100)).setTo(cv::Scalar::all(0));
|
|
|
|
if (PERF_RUN_GPU())
|
|
{
|
|
cv::gpu::GoodFeaturesToTrackDetector_GPU d_detector(maxCorners, qualityLevel, minDistance, blockSize, useHarrisDetector, k);
|
|
|
|
cv::gpu::GpuMat d_src(src);
|
|
cv::gpu::GpuMat d_mask(mask);
|
|
cv::gpu::GpuMat d_pts;
|
|
|
|
d_detector(d_src, d_pts, d_mask);
|
|
|
|
TEST_CYCLE()
|
|
{
|
|
d_detector(d_src, d_pts, d_mask);
|
|
}
|
|
}
|
|
else
|
|
{
|
|
if (depth != CV_8U)
|
|
FAIL() << "Unsupported depth";
|
|
|
|
cv::Mat pts;
|
|
|
|
cv::goodFeaturesToTrack(src, pts, maxCorners, qualityLevel, minDistance, mask, blockSize, useHarrisDetector, k);
|
|
|
|
TEST_CYCLE()
|
|
{
|
|
cv::goodFeaturesToTrack(src, pts, maxCorners, qualityLevel, minDistance, mask, blockSize, useHarrisDetector, k);
|
|
}
|
|
}
|
|
|
|
SANITY_CHECK(0);
|
|
}
|
|
|
|
//////////////////////////////////////////////////////////
|
|
// OpticalFlowPyrLKSparse
|
|
|
|
typedef std::pair<std::string, std::string> string_pair;
|
|
|
|
DEF_PARAM_TEST(ImagePair_Depth_GraySource, string_pair, perf::MatDepth, bool);
|
|
|
|
PERF_TEST_P(ImagePair_Depth_GraySource, OpticalFlowPyrLKSparse,
|
|
testing::Combine(
|
|
testing::Values(string_pair("im1_1280x800.jpg", "im2_1280x800.jpg")),
|
|
testing::Values(CV_8U, CV_16U),
|
|
testing::Bool()
|
|
))
|
|
{
|
|
declare.time(60);
|
|
|
|
const string_pair fileNames = std::tr1::get<0>(GetParam());
|
|
const int depth = std::tr1::get<1>(GetParam());
|
|
const bool graySource = std::tr1::get<2>(GetParam());
|
|
|
|
// PyrLK params
|
|
const cv::Size winSize(15, 15);
|
|
const int maxLevel = 5;
|
|
const cv::TermCriteria criteria(cv::TermCriteria::COUNT + cv::TermCriteria::EPS, 30, 0.01);
|
|
|
|
// GoodFeaturesToTrack params
|
|
const int maxCorners = 5000;
|
|
const double qualityLevel = 0.05;
|
|
const int minDistance = 5;
|
|
const int blockSize = 3;
|
|
const bool useHarrisDetector = true;
|
|
const double k = 0.05;
|
|
|
|
cv::Mat src1 = cv::imread(fileNames.first, graySource ? cv::IMREAD_GRAYSCALE : cv::IMREAD_COLOR);
|
|
if (src1.empty())
|
|
FAIL() << "Unable to load source image [" << fileNames.first << "]";
|
|
|
|
cv::Mat src2 = cv::imread(fileNames.second, graySource ? cv::IMREAD_GRAYSCALE : cv::IMREAD_COLOR);
|
|
if (src2.empty())
|
|
FAIL() << "Unable to load source image [" << fileNames.second << "]";
|
|
|
|
cv::Mat gray_src;
|
|
if (graySource)
|
|
gray_src = src1;
|
|
else
|
|
cv::cvtColor(src1, gray_src, cv::COLOR_BGR2GRAY);
|
|
|
|
cv::Mat pts;
|
|
cv::goodFeaturesToTrack(gray_src, pts, maxCorners, qualityLevel, minDistance, cv::noArray(), blockSize, useHarrisDetector, k);
|
|
|
|
if (depth != CV_8U)
|
|
{
|
|
src1.convertTo(src1, depth);
|
|
src2.convertTo(src2, depth);
|
|
}
|
|
|
|
if (PERF_RUN_GPU())
|
|
{
|
|
cv::gpu::GpuMat d_src1(src1);
|
|
cv::gpu::GpuMat d_src2(src2);
|
|
cv::gpu::GpuMat d_pts(pts.reshape(2, 1));
|
|
cv::gpu::GpuMat d_nextPts;
|
|
cv::gpu::GpuMat d_status;
|
|
|
|
cv::gpu::PyrLKOpticalFlow d_pyrLK;
|
|
d_pyrLK.winSize = winSize;
|
|
d_pyrLK.maxLevel = maxLevel;
|
|
d_pyrLK.iters = criteria.maxCount;
|
|
d_pyrLK.useInitialFlow = false;
|
|
|
|
d_pyrLK.sparse(d_src1, d_src2, d_pts, d_nextPts, d_status);
|
|
|
|
TEST_CYCLE()
|
|
{
|
|
d_pyrLK.sparse(d_src1, d_src2, d_pts, d_nextPts, d_status);
|
|
}
|
|
}
|
|
else
|
|
{
|
|
if (depth != CV_8U)
|
|
FAIL() << "Unsupported depth";
|
|
|
|
cv::Mat nextPts;
|
|
cv::Mat status;
|
|
|
|
cv::calcOpticalFlowPyrLK(src1, src2, pts, nextPts, status, cv::noArray(), winSize, maxLevel, criteria);
|
|
|
|
TEST_CYCLE()
|
|
{
|
|
cv::calcOpticalFlowPyrLK(src1, src2, pts, nextPts, status, cv::noArray(), winSize, maxLevel, criteria);
|
|
}
|
|
}
|
|
|
|
SANITY_CHECK(0);
|
|
}
|
|
|
|
//////////////////////////////////////////////////////////
|
|
// OpticalFlowFarneback
|
|
|
|
DEF_PARAM_TEST(ImagePair_Depth, string_pair, perf::MatDepth);
|
|
|
|
PERF_TEST_P(ImagePair_Depth, OpticalFlowFarneback,
|
|
testing::Combine(
|
|
testing::Values(string_pair("im1_1280x800.jpg", "im2_1280x800.jpg")),
|
|
testing::Values(CV_8U, CV_16U)
|
|
))
|
|
{
|
|
declare.time(500);
|
|
|
|
const string_pair fileNames = std::tr1::get<0>(GetParam());
|
|
const int depth = std::tr1::get<1>(GetParam());
|
|
|
|
const double pyrScale = 0.5;
|
|
const int numLevels = 6;
|
|
const int winSize = 7;
|
|
const int numIters = 15;
|
|
const int polyN = 7;
|
|
const double polySigma = 1.5;
|
|
const int flags = cv::OPTFLOW_USE_INITIAL_FLOW;
|
|
|
|
cv::Mat src1 = cv::imread(fileNames.first, cv::IMREAD_GRAYSCALE);
|
|
if (src1.empty())
|
|
FAIL() << "Unable to load source image [" << fileNames.first << "]";
|
|
|
|
cv::Mat src2 = cv::imread(fileNames.second, cv::IMREAD_GRAYSCALE);
|
|
if (src2.empty())
|
|
FAIL() << "Unable to load source image [" << fileNames.second << "]";
|
|
|
|
if (depth != CV_8U)
|
|
{
|
|
src1.convertTo(src1, depth);
|
|
src2.convertTo(src2, depth);
|
|
}
|
|
|
|
if (PERF_RUN_GPU())
|
|
{
|
|
cv::gpu::GpuMat d_src1(src1);
|
|
cv::gpu::GpuMat d_src2(src2);
|
|
cv::gpu::GpuMat d_u(src1.size(), CV_32FC1, cv::Scalar::all(0));
|
|
cv::gpu::GpuMat d_v(src1.size(), CV_32FC1, cv::Scalar::all(0));
|
|
|
|
cv::gpu::FarnebackOpticalFlow d_farneback;
|
|
d_farneback.pyrScale = pyrScale;
|
|
d_farneback.numLevels = numLevels;
|
|
d_farneback.winSize = winSize;
|
|
d_farneback.numIters = numIters;
|
|
d_farneback.polyN = polyN;
|
|
d_farneback.polySigma = polySigma;
|
|
d_farneback.flags = flags;
|
|
|
|
d_farneback(d_src1, d_src2, d_u, d_v);
|
|
|
|
TEST_CYCLE_N(10)
|
|
{
|
|
d_farneback(d_src1, d_src2, d_u, d_v);
|
|
}
|
|
}
|
|
else
|
|
{
|
|
if (depth != CV_8U)
|
|
FAIL() << "Unsupported depth";
|
|
|
|
cv::Mat flow(src1.size(), CV_32FC2, cv::Scalar::all(0));
|
|
|
|
cv::calcOpticalFlowFarneback(src1, src2, flow, pyrScale, numLevels, winSize, numIters, polyN, polySigma, flags);
|
|
|
|
TEST_CYCLE_N(10)
|
|
{
|
|
cv::calcOpticalFlowFarneback(src1, src2, flow, pyrScale, numLevels, winSize, numIters, polyN, polySigma, flags);
|
|
}
|
|
}
|
|
|
|
SANITY_CHECK(0);
|
|
}
|
|
|
|
//////////////////////////////////////////////////////////
|
|
// OpticalFlowBM
|
|
|
|
void calcOpticalFlowBM(const cv::Mat& prev, const cv::Mat& curr,
|
|
cv::Size bSize, cv::Size shiftSize, cv::Size maxRange, int usePrevious,
|
|
cv::Mat& velx, cv::Mat& vely)
|
|
{
|
|
cv::Size sz((curr.cols - bSize.width + shiftSize.width)/shiftSize.width, (curr.rows - bSize.height + shiftSize.height)/shiftSize.height);
|
|
|
|
velx.create(sz, CV_32FC1);
|
|
vely.create(sz, CV_32FC1);
|
|
|
|
CvMat cvprev = prev;
|
|
CvMat cvcurr = curr;
|
|
|
|
CvMat cvvelx = velx;
|
|
CvMat cvvely = vely;
|
|
|
|
cvCalcOpticalFlowBM(&cvprev, &cvcurr, bSize, shiftSize, maxRange, usePrevious, &cvvelx, &cvvely);
|
|
}
|
|
|
|
DEF_PARAM_TEST(ImagePair_BlockSize_ShiftSize_MaxRange, string_pair, cv::Size, cv::Size, cv::Size);
|
|
|
|
PERF_TEST_P(ImagePair_BlockSize_ShiftSize_MaxRange, OpticalFlowBM,
|
|
testing::Combine(
|
|
testing::Values(string_pair("im1_1280x800.jpg", "im2_1280x800.jpg")),
|
|
testing::Values(cv::Size(16, 16)),
|
|
testing::Values(cv::Size(2, 2)),
|
|
testing::Values(cv::Size(16, 16))
|
|
))
|
|
{
|
|
declare.time(3000);
|
|
|
|
const string_pair fileNames = std::tr1::get<0>(GetParam());
|
|
const cv::Size block_size = std::tr1::get<1>(GetParam());
|
|
const cv::Size shift_size = std::tr1::get<2>(GetParam());
|
|
const cv::Size max_range = std::tr1::get<3>(GetParam());
|
|
|
|
cv::Mat src1 = cv::imread(fileNames.first, cv::IMREAD_GRAYSCALE);
|
|
if (src1.empty())
|
|
FAIL() << "Unable to load source image [" << fileNames.first << "]";
|
|
|
|
cv::Mat src2 = cv::imread(fileNames.second, cv::IMREAD_GRAYSCALE);
|
|
if (src2.empty())
|
|
FAIL() << "Unable to load source image [" << fileNames.second << "]";
|
|
|
|
if (PERF_RUN_GPU())
|
|
{
|
|
cv::gpu::GpuMat d_src1(src1);
|
|
cv::gpu::GpuMat d_src2(src2);
|
|
cv::gpu::GpuMat d_velx, d_vely, buf;
|
|
|
|
cv::gpu::calcOpticalFlowBM(d_src1, d_src2, block_size, shift_size, max_range, false, d_velx, d_vely, buf);
|
|
|
|
TEST_CYCLE_N(10)
|
|
{
|
|
cv::gpu::calcOpticalFlowBM(d_src1, d_src2, block_size, shift_size, max_range, false, d_velx, d_vely, buf);
|
|
}
|
|
}
|
|
else
|
|
{
|
|
cv::Mat velx, vely;
|
|
|
|
calcOpticalFlowBM(src1, src2, block_size, shift_size, max_range, false, velx, vely);
|
|
|
|
TEST_CYCLE_N(10)
|
|
{
|
|
calcOpticalFlowBM(src1, src2, block_size, shift_size, max_range, false, velx, vely);
|
|
}
|
|
}
|
|
|
|
SANITY_CHECK(0);
|
|
}
|
|
|
|
PERF_TEST_P(ImagePair_BlockSize_ShiftSize_MaxRange, FastOpticalFlowBM,
|
|
testing::Combine(
|
|
testing::Values(string_pair("im1_1280x800.jpg", "im2_1280x800.jpg")),
|
|
testing::Values(cv::Size(16, 16)),
|
|
testing::Values(cv::Size(1, 1)),
|
|
testing::Values(cv::Size(16, 16))
|
|
))
|
|
{
|
|
declare.time(3000);
|
|
|
|
const string_pair fileNames = std::tr1::get<0>(GetParam());
|
|
const cv::Size block_size = std::tr1::get<1>(GetParam());
|
|
const cv::Size shift_size = std::tr1::get<2>(GetParam());
|
|
const cv::Size max_range = std::tr1::get<3>(GetParam());
|
|
|
|
cv::Mat src1 = cv::imread(fileNames.first, cv::IMREAD_GRAYSCALE);
|
|
if (src1.empty())
|
|
FAIL() << "Unable to load source image [" << fileNames.first << "]";
|
|
|
|
cv::Mat src2 = cv::imread(fileNames.second, cv::IMREAD_GRAYSCALE);
|
|
if (src2.empty())
|
|
FAIL() << "Unable to load source image [" << fileNames.second << "]";
|
|
|
|
if (PERF_RUN_GPU())
|
|
{
|
|
cv::gpu::GpuMat d_src1(src1);
|
|
cv::gpu::GpuMat d_src2(src2);
|
|
cv::gpu::GpuMat d_velx, d_vely;
|
|
|
|
cv::gpu::FastOpticalFlowBM fastBM;
|
|
|
|
fastBM(d_src1, d_src2, d_velx, d_vely, max_range.width, block_size.width);
|
|
|
|
TEST_CYCLE_N(10)
|
|
{
|
|
fastBM(d_src1, d_src2, d_velx, d_vely, max_range.width, block_size.width);
|
|
}
|
|
}
|
|
else
|
|
{
|
|
cv::Mat velx, vely;
|
|
|
|
calcOpticalFlowBM(src1, src2, block_size, shift_size, max_range, false, velx, vely);
|
|
|
|
TEST_CYCLE_N(10)
|
|
{
|
|
calcOpticalFlowBM(src1, src2, block_size, shift_size, max_range, false, velx, vely);
|
|
}
|
|
}
|
|
|
|
SANITY_CHECK(0);
|
|
}
|