Commit 78e89890 authored by yao's avatar yao

add PyrLK to ocl module

parent 0e9405e5
......@@ -460,6 +460,18 @@ namespace cv
a.swap(b);
}
inline void ensureSizeIsEnough(int rows, int cols, int type, oclMat& m)
{
if (m.type() == type && m.rows >= rows && m.cols >= cols)
m = m(Rect(0, 0, cols, rows));
else
m.create(rows, cols, type);
}
inline void ensureSizeIsEnough(Size size, int type, oclMat& m)
{
ensureSizeIsEnough(size.height, size.width, type, m);
}
} /* end of namespace ocl */
} /* end of namespace cv */
......
......@@ -1125,6 +1125,66 @@ namespace cv
explicit BruteForceMatcher_OCL(Hamming /*d*/) : BruteForceMatcher_OCL_base(HammingDist) {}
};
/////////////////////////////// PyrLKOpticalFlow /////////////////////////////////////
class CV_EXPORTS PyrLKOpticalFlow
{
public:
PyrLKOpticalFlow()
{
winSize = Size(21, 21);
maxLevel = 3;
iters = 30;
derivLambda = 0.5;
useInitialFlow = false;
minEigThreshold = 1e-4f;
getMinEigenVals = false;
isDeviceArch11_ = false;
}
void sparse(const oclMat& prevImg, const oclMat& nextImg, const oclMat& prevPts, oclMat& nextPts,
oclMat& status, oclMat* err = 0);
void dense(const oclMat& prevImg, const oclMat& nextImg, oclMat& u, oclMat& v, oclMat* err = 0);
Size winSize;
int maxLevel;
int iters;
double derivLambda;
bool useInitialFlow;
float minEigThreshold;
bool getMinEigenVals;
void releaseMemory()
{
dx_calcBuf_.release();
dy_calcBuf_.release();
prevPyr_.clear();
nextPyr_.clear();
dx_buf_.release();
dy_buf_.release();
}
private:
void calcSharrDeriv(const oclMat& src, oclMat& dx, oclMat& dy);
void buildImagePyramid(const oclMat& img0, vector<oclMat>& pyr, bool withBorder);
oclMat dx_calcBuf_;
oclMat dy_calcBuf_;
vector<oclMat> prevPyr_;
vector<oclMat> nextPyr_;
oclMat dx_buf_;
oclMat dy_buf_;
oclMat uPyr_[2];
oclMat vPyr_[2];
bool isDeviceArch11_;
};
}
}
......
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......@@ -916,6 +916,7 @@ oclMat cv::ocl::oclMat::reshape(int new_cn, int new_rows) const
CV_Error(CV_BadNumChannels, "The total width is not divisible by the new number of channels");
hdr.cols = new_width;
hdr.wholecols = new_width;
hdr.flags = (hdr.flags & ~CV_MAT_CN_MASK) | ((new_cn - 1) << CV_CN_SHIFT);
return hdr;
......
This diff is collapsed.
/*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.
//
//
// Intel License Agreement
// For Open Source Computer Vision Library
//
// Copyright (C) 2000, Intel Corporation, 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 Intel Corporation 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"
#include <iomanip>
#ifdef HAVE_OPENCL
using namespace cv;
using namespace cv::ocl;
using namespace cvtest;
using namespace testing;
using namespace std;
//#define DUMP
/////////////////////////////////////////////////////////////////////////////////////////////////
// BroxOpticalFlow
#define BROX_OPTICAL_FLOW_DUMP_FILE "opticalflow/brox_optical_flow.bin"
#define BROX_OPTICAL_FLOW_DUMP_FILE_CC20 "opticalflow/brox_optical_flow_cc20.bin"
/////////////////////////////////////////////////////////////////////////////////////////////////
// PyrLKOpticalFlow
//IMPLEMENT_PARAM_CLASS(UseGray, bool)
PARAM_TEST_CASE(Sparse, bool, bool)
{
bool useGray;
bool UseSmart;
virtual void SetUp()
{
UseSmart = GET_PARAM(0);
useGray = GET_PARAM(0);
}
};
TEST_P(Sparse, Mat)
{
cv::Mat frame0 = readImage("../../../samples/gpu/rubberwhale1.png", useGray ? cv::IMREAD_GRAYSCALE : cv::IMREAD_COLOR);
ASSERT_FALSE(frame0.empty());
cv::Mat frame1 = readImage("../../../samples/gpu/rubberwhale2.png", useGray ? cv::IMREAD_GRAYSCALE : cv::IMREAD_COLOR);
ASSERT_FALSE(frame1.empty());
cv::Mat gray_frame;
if (useGray)
gray_frame = frame0;
else
cv::cvtColor(frame0, gray_frame, cv::COLOR_BGR2GRAY);
std::vector<cv::Point2f> pts;
cv::goodFeaturesToTrack(gray_frame, pts, 1000, 0.01, 0.0);
cv::ocl::oclMat d_pts;
cv::Mat pts_mat(1, (int)pts.size(), CV_32FC2, (void*)&pts[0]);
d_pts.upload(pts_mat);
cv::ocl::PyrLKOpticalFlow pyrLK;
cv::ocl::oclMat oclFrame0;
cv::ocl::oclMat oclFrame1;
cv::ocl::oclMat d_nextPts;
cv::ocl::oclMat d_status;
cv::ocl::oclMat d_err;
oclFrame0 = frame0;
oclFrame1 = frame1;
pyrLK.sparse(oclFrame0, oclFrame1, d_pts, d_nextPts, d_status, &d_err);
std::vector<cv::Point2f> nextPts(d_nextPts.cols);
cv::Mat nextPts_mat(1, d_nextPts.cols, CV_32FC2, (void*)&nextPts[0]);
d_nextPts.download(nextPts_mat);
std::vector<unsigned char> status(d_status.cols);
cv::Mat status_mat(1, d_status.cols, CV_8UC1, (void*)&status[0]);
d_status.download(status_mat);
std::vector<float> err(d_err.cols);
cv::Mat err_mat(1, d_err.cols, CV_32FC1, (void*)&err[0]);
d_err.download(err_mat);
std::vector<cv::Point2f> nextPts_gold;
std::vector<unsigned char> status_gold;
std::vector<float> err_gold;
cv::calcOpticalFlowPyrLK(frame0, frame1, pts, nextPts_gold, status_gold, err_gold);
ASSERT_EQ(nextPts_gold.size(), nextPts.size());
ASSERT_EQ(status_gold.size(), status.size());
size_t mistmatch = 0;
for (size_t i = 0; i < nextPts.size(); ++i)
{
if (status[i] != status_gold[i])
{
++mistmatch;
continue;
}
if (status[i])
{
cv::Point2i a = nextPts[i];
cv::Point2i b = nextPts_gold[i];
bool eq = std::abs(a.x - b.x) < 1 && std::abs(a.y - b.y) < 1;
//float errdiff = std::abs(err[i] - err_gold[i]);
float errdiff = 0.0f;
if (!eq || errdiff > 1e-1)
++mistmatch;
}
}
double bad_ratio = static_cast<double>(mistmatch) / (nextPts.size() * 2);
ASSERT_LE(bad_ratio, 0.05f);
}
INSTANTIATE_TEST_CASE_P(Video, Sparse, Combine(
Values(false, true),
Values(false)));
#endif // HAVE_OPENCL
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