opencv/samples/ocl/pyrlk_optical_flow.cpp

#include <iostream>
#include <vector>
#include <iomanip>

#include "opencv2/core/utility.hpp"
#include "opencv2/highgui/highgui.hpp"
#include "opencv2/ocl/ocl.hpp"
#include "opencv2/video/video.hpp"

using namespace std;
using namespace cv;
using namespace cv::ocl;

typedef unsigned char uchar;
#define LOOP_NUM 10 
int64 work_begin = 0;
int64 work_end = 0;

static void workBegin() 
{ 
    work_begin = getTickCount();
}
static void workEnd()
{
    work_end += (getTickCount() - work_begin);
}
static double getTime(){
    return work_end * 1000. / getTickFrequency();
}

static void download(const oclMat& d_mat, vector<Point2f>& vec)
{
    vec.clear();
    vec.resize(d_mat.cols);
    Mat mat(1, d_mat.cols, CV_32FC2, (void*)&vec[0]);
    d_mat.download(mat);
}

static void download(const oclMat& d_mat, vector<uchar>& vec)
{
    vec.clear();
    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);
        }
    }
}


int main(int argc, const char* argv[])
{
    static std::vector<Info> ocl_info;
    ocl::getDevice(ocl_info);
    //if you want to use undefault device, set it here
    setDevice(ocl_info[0]);

    //set this to save kernel compile time from second time you run
    ocl::setBinpath("./");
    const char* keys =
        "{ help h           | false | print help message }"
        "{ left l           |       | specify left image }"
        "{ right r          |       | specify right image }"
        "{ camera c         | 0     | enable camera capturing }"
        "{ use_cpu s        | false | use cpu or gpu to process the image }"
        "{ video v          |       | use video as input }"
        "{ points           | 1000  | specify points count [GoodFeatureToTrack] }"
        "{ min_dist         | 0     | specify minimal distance between points [GoodFeatureToTrack] }";

    CommandLineParser cmd(argc, argv, keys);

    if (cmd.has("help"))
    {
        cmd.printMessage();
        return 0;
    }

    bool defaultPicturesFail = false;
    string fname0 = cmd.get<string>("left");
    string fname1 = cmd.get<string>("right");
    string vdofile = cmd.get<string>("video");
    int points = cmd.get<int>("points");
    double minDist = cmd.get<double>("min_dist");
    bool useCPU = cmd.has("s");
    bool useCamera = cmd.has("c");
    int inputName = cmd.get<int>("c");

    oclMat d_nextPts, d_status;
    GoodFeaturesToTrackDetector_OCL d_features(points);
    Mat frame0 = imread(fname0, cv::IMREAD_GRAYSCALE);
    Mat frame1 = imread(fname1, cv::IMREAD_GRAYSCALE);
    PyrLKOpticalFlow d_pyrLK;
    vector<cv::Point2f> pts(points);
    vector<cv::Point2f> nextPts(points);
    vector<unsigned char> status(points);
    vector<float> err;

    if (frame0.empty() || frame1.empty())
    {
        useCamera = true;
        defaultPicturesFail = true;
        VideoCapture capture(inputName);
        if (!capture.isOpened())
        {
            cout << "Can't load input images" << endl;
            return -1;
        }
    }

    cout << "Points count : " << points << endl << endl;

    if (useCamera)
    {
        VideoCapture capture;
        Mat frame, frameCopy;
        Mat frame0Gray, frame1Gray;
        Mat ptr0, ptr1;

        if(vdofile == "")
            capture.open( inputName );
        else
            capture.open(vdofile.c_str());

        int c = inputName ;
        if(!capture.isOpened())
        {
            if(vdofile == "")
                cout << "Capture from CAM " << c << " didn't work" << endl;
            else
                cout << "Capture from file " << vdofile << " failed" <<endl;
            if (defaultPicturesFail)
            {
                return -1;
            }
            goto nocamera;
        }

        cout << "In capture ..." << endl;
        for(int i = 0;; i++)
        {
            if( !capture.read(frame) )
                break;

            if (i == 0)
            {
                frame.copyTo( frame0 );
                cvtColor(frame0, frame0Gray, COLOR_BGR2GRAY);
            }
            else
            {
                if (i%2 == 1)
                {
                    frame.copyTo(frame1);
                    cvtColor(frame1, frame1Gray, COLOR_BGR2GRAY);
                    ptr0 = frame0Gray;
                    ptr1 = frame1Gray;
                }
                else
                {
                    frame.copyTo(frame0);
                    cvtColor(frame0, frame0Gray, COLOR_BGR2GRAY);
                    ptr0 = frame1Gray;
                    ptr1 = frame0Gray;
                }

                if (useCPU)
                {
                    pts.clear();
                    goodFeaturesToTrack(ptr0, pts, points, 0.01, 0.0);
                    if(pts.size() == 0)
                        continue;
                    calcOpticalFlowPyrLK(ptr0, ptr1, pts, nextPts, status, err);
                }
                else
                {
                    oclMat d_img(ptr0), d_prevPts;
                    d_features(d_img, d_prevPts);
                    if(!d_prevPts.rows || !d_prevPts.cols)
                        continue;
                    d_pyrLK.sparse(d_img, oclMat(ptr1), d_prevPts, d_nextPts, d_status);
                    d_features.downloadPoints(d_prevPts,pts);
                    download(d_nextPts, nextPts);
                    download(d_status, status);
                }
                if (i%2 == 1)
                    frame1.copyTo(frameCopy);
                else
                    frame0.copyTo(frameCopy);
                drawArrows(frameCopy, pts, nextPts, status, Scalar(255, 0, 0));
                imshow("PyrLK [Sparse]", frameCopy);
            }

            if( waitKey( 10 ) >= 0 )
                goto _cleanup_;
        }

        waitKey(0);

_cleanup_:
        capture.release();
    }
    else
    {
nocamera:
        for(int i = 0; i <= LOOP_NUM;i ++) 
        {
            cout << "loop" << i << endl;
            if (i > 0) workBegin();     

            if (useCPU)
            {
                goodFeaturesToTrack(frame0, pts, points, 0.01, minDist);
                calcOpticalFlowPyrLK(frame0, frame1, pts, nextPts, status, err);
            }
            else
            {
                oclMat d_img(frame0), d_prevPts;
                d_features(d_img, d_prevPts);
                d_pyrLK.sparse(d_img, oclMat(frame1), d_prevPts, d_nextPts, d_status);
                d_features.downloadPoints(d_prevPts, pts);
                download(d_nextPts, nextPts);
                download(d_status, status);
            }

            if (i > 0 && i <= LOOP_NUM)
                workEnd();

            if (i == LOOP_NUM)
            {
                if (useCPU)
                    cout << "average CPU time (noCamera) : ";
                else
                    cout << "average GPU time (noCamera) : ";

                cout << getTime() / LOOP_NUM << " ms" << endl;

                drawArrows(frame0, pts, nextPts, status, Scalar(255, 0, 0));

                imshow("PyrLK [Sparse]", frame0);
            }
        }
    }

    waitKey();

    return 0;
}