Question

我正在尝试使用OpenCV的跟踪API。我按照这里的说明完成了OpenCV的制作：https://github.com/itseez/opencv_contrib/。在建筑时我不得不关闭CMake gui中的一些参数。在make之后，我使用Tracking API运行以下代码：

#include <opencv2/core/utility.hpp>
#include <opencv2/video/tracking.hpp>
#include <opencv2/videoio.hpp>
#include <opencv2/highgui.hpp>
#include <tracker.hpp>
#include <iostream>
#include <cstring>

using namespace std;
using namespace cv;

static Mat image;
static Rect2d boundingBox;
static bool paused;
static bool selectObject = false;
static bool startSelection = false;

static void onMouse( int event, int x, int y, int, void* )
{
  if( !selectObject )
  {
    switch ( event )
    {
      case EVENT_LBUTTONDOWN:
        //set origin of the bounding box
        startSelection = true;
        boundingBox.x = x;
        boundingBox.y = y;
        boundingBox.width = boundingBox.height = 0;
        break;
      case EVENT_LBUTTONUP:
        //sei with and height of the bounding box
        boundingBox.width = std::abs( x - boundingBox.x );
        boundingBox.height = std::abs( y - boundingBox.y );
        paused = false;
        selectObject = true;
        break;
      case EVENT_MOUSEMOVE:

        if( startSelection && !selectObject )
        {
          //draw the bounding box
          Mat currentFrame;
          image.copyTo( currentFrame );
          rectangle( currentFrame, Point((int) boundingBox.x, (int)boundingBox.y ), Point( x, y ), Scalar( 255, 0, 0 ), 2, 1 );
          imshow( "Tracking API", currentFrame );
        }
        break;
    }
  }
}

//
//  Hot keys:
//   q - quit the program
//   p - pause video
//

int main( int argc, char** argv )
{
    //open the capture
    VideoCapture cap(0);
    if( !cap.isOpened() )
    {
      return -1;
    }

    //
    //  "MIL", "BOOSTING", "MEDIANFLOW", "TLD"
    //
    string tracker_algorithm = "MIL";
    if ( argc>1 ) tracker_algorithm = argv[1];

    Mat frame;
    paused = false;
    namedWindow( "Tracking API", 0 );
    setMouseCallback( "Tracking API", onMouse, 0 );

    Ptr<Tracker> tracker = Tracker::create( tracker_algorithm );
    if( tracker == NULL )
    {
        cout << "***Error in the instantiation of the tracker...***\n";
        return -1;
    }

    //get the first frame
    cap >> frame;
    frame.copyTo( image );
    imshow( "Tracking API", image );

    bool initialized = false;
    int frameCounter = 0;

    for ( ;; )
    {
        char c = (char) waitKey( 2 );
        if( c == 'q' || c == 27 )
            break;
        if( c == 'p' )
            paused = !paused;

        if ( !paused )
        {
            cap >> frame;
            if(frame.empty())
            {
                break;
            }
            frame.copyTo( image );

            if( selectObject )
            {
                if( !initialized )
                {
                    //initializes the tracker
                    if( !tracker->init( frame, boundingBox ) )
                    {
                    cout << "***Could not initialize tracker...***\n";
                    return -1;
                    }
                    initialized = true;
                }
                else
                {
                    //updates the tracker
                    if( tracker->update( frame, boundingBox ) )
                    {
                        rectangle( image, boundingBox, Scalar( 255, 0, 0 ), 2, 1 );
                    }
                }
            }
            imshow( "Tracking API", image );
            frameCounter++;
        }
    }

    return 0;
}

但是我收到一个错误，即在链接时没有定义类跟踪器的功能。这是我的构建日志的一部分：

g ++。exe -LC：\ opencv \ min_bin \ install \ x64 \ mingw \ lib -o bin \ Debug \ main_project.exe obj \ Debug \ t1.o C：\ opencv \ min_bin \ install \ x64 \ mingw \ lib \ libopencv_bgsegm300.dll.a C：\ opencv \ min_bin \ install \ x64 \ mingw \ lib \ libopencv_bioinspired300.dll.a C：\ opencv \ min_bin \ install \ x64 \ mingw \ lib \ libopencv_calib3d300.dll.a C：\ opencv \ min_bin \ install \ x64 \ mingw \ lib \ libopencv_ccalib300.dll.a C：\ opencv \ min_bin \ install \ x64 \ mingw \ lib \ libopencv_core300.dll.a C：\ opencv \ min_bin \ install \ x64 \ mingw \ lib \ libopencv_dnn300.dll.a C：\ opencv \ min_bin \ install \ x64 \ mingw \ lib \ libopencv_dpm300.dll.a C：\ opencv \ min_bin \ install \ x64 \ mingw \ lib \ libopencv_face300.dll.a C：\ opencv \ min_bin \ install \ x64 \ mingw \ lib \ libopencv_features2d300.dll.a C：\ opencv \ min_bin \ install \ x64 \ mingw \ lib \ libopencv_flann300.dll.a C：\ opencv \ min_bin \ install \ x64 \ mingw \ lib \ libopencv_fuzzy300.dll.a C：\ opencv \ min_bin \ install \ x64 \ mingw \ lib \ libopencv_hal300.a C：\ opencv \ min_bin \ install \ x64 \ mingw \ lib \ libopencv_highgui300.dll.a C：\ opencv \ min_bin \安装\ 64 \ MinGW的\ LIB \ libopencv_ imgcodecs300.dll.a C：\ opencv \ min_bin \ install \ x64 \ mingw \ lib \ libopencv_imgproc300.dll.a C：\ opencv \ min_bin \ install \ x64 \ mingw \ lib \ libopencv_ml300.dll.a C：\ opencv \ min_bin \ install \ x64 \ mingw \ lib \ libopencv_objdetect300.dll.a C：\ opencv \ min_bin \ install \ x64 \ mingw \ lib \ libopencv_photo300.dll.a C：\ opencv \ min_bin \ install \ x64 \ mingw \ lib \ libopencv_plot300.dll.a C：\ opencv \ min_bin \ install \ x64 \ mingw \ lib \ libopencv_reg300.dll.a C：\ opencv \ min_bin \ install \ x64 \ mingw \ lib \ libopencv_rgbd300.dll.a C：\ opencv \ min_bin \ install \ x64 \ mingw \ lib \ libopencv_saliency300.dll.a C：\ opencv \ min_bin \ install \ x64 \ mingw \ lib \ libopencv_shape300.dll.a C：\ opencv \ min_bin \ install \ x64 \ mingw \ lib \ libopencv_stereo300.dll.a C：\ opencv \ min_bin \ install \ x64 \ mingw \ lib \ libopencv_stitching300.dll.a C：\ opencv \ min_bin \ install \ x64 \ mingw \ lib \ libopencv_structured_light300.dll.a C：\ opencv \ min_bin \ install \ x64 \ mingw \ lib \ libopencv_superres300.dll.a C：\ opencv \ min_bin \ install \ x64 \ mingw \ lib \ libopencv_surface_matching300.dll.a C：\ opencv \ min_bin \ install \ x64 \ mingw \ lib \ libopencv_text300.dll.a C：\ opencv \ min_bin \ install \ x64 \ mingw \ lib \ libopencv_ts300.a C：\ opencv \ min_bin \ install \ x64 \ mingw \ lib \ libopencv_video300.dll.a C：\ opencv \ min_bin \ install \ x64 \ mingw \ lib \ libopencv_videoio300.dll.a C：\ opencv \ min_bin \ install \ x64 \ mingw \ lib \ libopencv_videostab300.dll.a C：\ opencv \ min_bin \ install \ x64 \ mingw \ lib \ libopencv_xobjdetect300 .dll.a obj \ Debug \ t1.o：在函数main': E:/main_proj/main_project/t1.cpp:79: undefined reference to cv :: Tracker :: create（cv :: String const＆amp;）＆＃39; E：/main_proj/main_project/t1.cpp：116：未定义引用cv::Tracker::init(cv::Mat const&, cv::Rect_<double> const&)' E:/main_proj/main_project/t1.cpp:126: undefined reference to cv :: Tracker :: update（cv :: Mat const＆amp;，cv :: Rect_＆amp;）＆＃39;

我认为这是在制作OpenCV期间出现的一些问题。有人可以提出解决方案吗？

Answer 1

与-L（带库的目录路径）选项链接时，如

-LC:\opencv\min_bin\install\x64\mingw\lib

您也应该使用-l链接到特定的库。

似乎找不到-lopencv_tracking300库。

Answer 2

我重建了整套模块，现在它可以工作了。我仍然不确定之前到底发生了什么。在成功构建之前，您需要进行多次实验。非常感谢您的建议 - @berak和@John

对cv :: Tracker :: update

2 个答案: