提交 eaf0b045 编写于 作者: J juanitov 提交者: Alexander Alekhin

Add sample of sparse pyrlk optical flow thread safe

上级 cbae4317
#include <iostream>
#include <vector>
#include <sstream>
#include "opencv2/core/core.hpp"
#include "cvconfig.h"
#ifdef HAVE_TBB
#include <tbb/parallel_for_each.h>
#include <tbb/task_scheduler_init.h>
#include "opencv2/imgproc/imgproc.hpp"
#include "opencv2/highgui/highgui.hpp"
#include "opencv2/video/video.hpp"
#include "opencv2/gpu/gpu.hpp"
using namespace std;
using namespace cv;
using namespace cv::gpu;
static void download(const GpuMat& d_mat, vector<Point2f>& vec)
{
vec.resize(d_mat.cols);
Mat mat(1, d_mat.cols, CV_32FC2, (void*)&vec[0]);
d_mat.download(mat);
}
static void download(const GpuMat& d_mat, vector<uchar>& vec)
{
vec.resize(d_mat.cols);
Mat mat(1, d_mat.cols, CV_8UC1, (void*)&vec[0]);
d_mat.download(mat);
}
static void drawArrows(Mat& frame, const vector<Point2f>& prevPts, const vector<Point2f>& nextPts, const vector<uchar>& status, Scalar line_color = Scalar(0, 0, 255))
{
for (size_t i = 0; i < prevPts.size(); ++i)
{
if (status[i])
{
int line_thickness = 1;
Point p = prevPts[i];
Point q = nextPts[i];
double angle = atan2((double) p.y - q.y, (double) p.x - q.x);
double hypotenuse = sqrt( (double)(p.y - q.y)*(p.y - q.y) + (double)(p.x - q.x)*(p.x - q.x) );
if (hypotenuse < 1.0)
continue;
// Here we lengthen the arrow by a factor of three.
q.x = (int) (p.x - 3 * hypotenuse * cos(angle));
q.y = (int) (p.y - 3 * hypotenuse * sin(angle));
// Now we draw the main line of the arrow.
line(frame, p, q, line_color, line_thickness);
// Now draw the tips of the arrow. I do some scaling so that the
// tips look proportional to the main line of the arrow.
p.x = (int) (q.x + 9 * cos(angle + CV_PI / 4));
p.y = (int) (q.y + 9 * sin(angle + CV_PI / 4));
line(frame, p, q, line_color, line_thickness);
p.x = (int) (q.x + 9 * cos(angle - CV_PI / 4));
p.y = (int) (q.y + 9 * sin(angle - CV_PI / 4));
line(frame, p, q, line_color, line_thickness);
}
}
}
template <typename T> inline T clamp (T x, T a, T b)
{
return ((x) > (a) ? ((x) < (b) ? (x) : (b)) : (a));
}
template <typename T> inline T mapValue(T x, T a, T b, T c, T d)
{
x = clamp(x, a, b);
return c + (d - c) * (x - a) / (b - a);
}
////////////////////////////////////////////////////////////////////////////////
////////////////////////////////////////////////////////////////////////////////
struct S_Thread_data
{
Size winSize;
int maxLevel;
int iters;
Stream stream;
Mat frame0;
Mat frame1;
Mat frame1Gray;
GpuMat d_frame0Gray;
GpuMat d_prevPts;
bool useGray;
};
struct pyrLK_task
{
pyrLK_task(size_t n):
_n(n),
_thread_data(NULL){}
void operator()()
{
// Sparse
PyrLKOpticalFlow d_pyrLK;
d_pyrLK.winSize.width = _thread_data->winSize.width;
d_pyrLK.winSize.height = _thread_data->winSize.height;
d_pyrLK.maxLevel = _thread_data->maxLevel;
d_pyrLK.iters = _thread_data->iters;
GpuMat d_frame0(_thread_data->frame0);
GpuMat d_frame1(_thread_data->frame1);
GpuMat d_frame1Gray(_thread_data->frame1Gray);
GpuMat d_nextPts;
GpuMat d_status;
bool useGray = _thread_data->useGray;
d_pyrLK.sparse_multi(useGray ? _thread_data->d_frame0Gray : d_frame0,
useGray ? d_frame1Gray : d_frame1,
_thread_data->d_prevPts, d_nextPts,
d_status, _thread_data->stream, NULL);
// Draw arrows
vector<Point2f> prevPts(_thread_data->d_prevPts.cols);
download(_thread_data->d_prevPts, prevPts);
vector<Point2f> nextPts(d_nextPts.cols);
download(d_nextPts, nextPts);
vector<uchar> status(d_status.cols);
download(d_status, status);
drawArrows(_thread_data->frame0, prevPts, nextPts, status, Scalar(255, 0, 0));
}
size_t _n;
struct S_Thread_data* _thread_data;
};
template <typename T> struct invoker {
void operator()(T& it) const {it();}
};
#define THREADS_NB 12
int main(int argc, const char* argv[])
{
const char* keys =
"{ h | help | false | print help message }"
"{ l | left | | specify left image }"
"{ r | right | | specify right image }"
"{ gray | gray | false | use grayscale sources [PyrLK Sparse] }"
"{ win_size | win_size | 21 | specify windows size [PyrLK] }"
"{ max_level | max_level | 3 | specify max level [PyrLK] }"
"{ iters | iters | 30 | specify iterations count [PyrLK] }"
"{ points | points | 4000 | specify points count [GoodFeatureToTrack] }"
"{ min_dist | min_dist | 0 | specify minimal distance between points [GoodFeatureToTrack] }";
CommandLineParser cmd(argc, argv, keys);
if (cmd.get<bool>("help"))
{
cout << "Usage: pyrlk_optical_flow_multithreading [options]" << endl;
cout << "Avaible options:" << endl;
cmd.printParams();
return 0;
}
string fname0 = cmd.get<string>("left");
string fname1 = cmd.get<string>("right");
if (fname0.empty() || fname1.empty())
{
cerr << "Missing input file names" << endl;
return -1;
}
bool useGray = cmd.get<bool>("gray");
int winSize = cmd.get<int>("win_size");
int maxLevel = cmd.get<int>("max_level");
int iters = cmd.get<int>("iters");
int points = cmd.get<int>("points");
double minDist = cmd.get<double>("min_dist");
Mat frame0 = imread(fname0);
Mat frame1 = imread(fname1);
if (frame0.empty() || frame1.empty())
{
cout << "Can't load input images" << endl;
return -1;
}
cout << "Image size : " << frame0.cols << " x " << frame0.rows << endl;
cout << "Points count : " << points << endl;
cout << endl;
Mat frame0Gray;
cvtColor(frame0, frame0Gray, COLOR_BGR2GRAY);
Mat frame1Gray;
cvtColor(frame1, frame1Gray, COLOR_BGR2GRAY);
// goodFeaturesToTrack
GoodFeaturesToTrackDetector_GPU detector(points, 0.01, minDist);
GpuMat d_frame0Gray(frame0Gray);
GpuMat d_prevPts;
detector(d_frame0Gray, d_prevPts);
// Sparse
tbb::task_scheduler_init init(THREADS_NB);
std::vector<pyrLK_task> tasks;
S_Thread_data s_thread_data[THREADS_NB];
for (unsigned int uiI = 0; uiI < THREADS_NB; ++uiI)
{
s_thread_data[uiI].stream = Stream();
s_thread_data[uiI].frame0 = frame0.clone();
s_thread_data[uiI].frame1 = frame1.clone();
s_thread_data[uiI].frame1Gray = frame0Gray.clone();
s_thread_data[uiI].iters = iters;
s_thread_data[uiI].useGray = useGray;
s_thread_data[uiI].maxLevel = maxLevel;
s_thread_data[uiI].winSize.height = winSize;
s_thread_data[uiI].winSize.width = winSize;
s_thread_data[uiI].d_frame0Gray = d_frame0Gray.clone();
s_thread_data[uiI].d_prevPts = d_prevPts.clone();
tasks.push_back(pyrLK_task(uiI));
tasks.back()._thread_data = &(s_thread_data[uiI]);
}
tbb::parallel_for_each(tasks.begin(),tasks.end(),invoker<pyrLK_task>());
for (unsigned int uiI = 0; uiI < THREADS_NB; ++uiI)
{
stringstream ss;
ss << "PyrLK MultiThreading [Sparse] " << uiI;
imshow(ss.str(), s_thread_data[uiI].frame0);
ss.str("");
}
waitKey();
return 0;
}
#else
int main(int , const char* [])
{
std::cout << "This example pyrlk_optical_flow_multithreading must be compiled with TBB Option" << std::endl;
return 0;
}
#endif // HAVE_TBB
Markdown is supported
0% .
You are about to add 0 people to the discussion. Proceed with caution.
先完成此消息的编辑!
想要评论请 注册