win10 下的opencv3.2.0实现tracker常见问题----必要条件整理

Posted 林梦然

tags:

篇首语:本文由小常识网(cha138.com)小编为大家整理,主要介绍了win10 下的opencv3.2.0实现tracker常见问题----必要条件整理相关的知识,希望对你有一定的参考价值。

在opencv中常常要实现对视频中的目标进行追踪,一些比较新的方法(比如MIL、KCF、TLD等)都在opencv_contrib库里,所以首先你需要下载安装opencv_contrib库,详见在win10下实现openCV3.2.0+vs2015+cmake出错解决方案 。这里需要说明的是我的系统是win10的,所以开发环境均在win10下,以下不做特殊说明均在win10下完成。
关于tracking官网提供了其参考资料Tracking API 、Introduction to OpenCV Tracker 。
opencv3.X以后将目标追踪方法集成到tracking上,集成图如下:

tracking实现的思路如下:

●创建tracker对象 
●使用roiSelector函数的功能,从指定的图像中选择ROI 
●在图像中跟踪特定的区域

这里我引入了一段网上的代码,也是官网的代码稍加修改:

#include <opencv2/core/utility.hpp>
#include <opencv2/tracking/tracking.hpp>
#include <opencv2/videoio.hpp>
#include <opencv2/highgui.hpp>
#include <iostream>
#include <cstring>
using namespace std;
using namespace cv;

int main(int argc, char** argv) {
	// declares all required variables
	Rect2d roi;
	Mat frame;
	// create a tracker object
	Ptr<Tracker> tracker = Tracker::create("KCF");
	// set input video
	//  std::string video = argv[1];
	VideoCapture cap("dount.avi");
	// get bounding box
	cap >> frame;
	roi = selectROI("tracker", frame);
	//quit if ROI was not selected
	if (roi.width == 0 || roi.height == 0)
		return 0;
	// initialize the tracker
	tracker->init(frame, roi);
	// perform the tracking process
	printf("Start the tracking process, press ESC to quit.\\n");
	for (;; ) {
		// get frame from the video
		cap >> frame;
		// stop the program if no more images
		if (frame.rows == 0 || frame.cols == 0)
			break;
		// update the tracking result
		tracker->update(frame, roi);
		// draw the tracked object
		rectangle(frame, roi, Scalar(255, 0, 0), 2, 1);
		// show image with the tracked object
		imshow("tracker", frame);
		//quit on ESC button
		if (waitKey(1) == 27)break;
	}
	return 0;
}

运行这段代码有两个环境变量要配置:

1.   Ptr<Tracker> tracker = Tracker::create("KCF");报错;

原因是我们要将opencv_contrib库里的tracking引入工程中,这里有两种方法:

    a.直接将opencv_contrib库里tracking文件夹复制到opencv2下,并将tracking文件夹中的tracking文件夹中的内容复制到最外层文件夹里,

复制后的结果:

b.将cmake编译后的文件夹中的include目录引入工程中:VC++目录-->包含目录,添加:   D:\\work\\opencv\\myopencv\\install\\include

这样编译就没有错误了。

由于我用的第一种方法所以遇到了一个这样的错误:

错误  C1014:包含文件太多:深度=1024

出现这个错误可能的原因是opencv2中有文件重复。

 

2.编译链接时出现了无法编译的外部错误:

严重性

代码

说明

项目

文件

禁止显示状态

错误

LNK2019

无法解析的外部符号 "public: bool __cdecl cv::Tracker::init(class cv::Mat const &,class cv::Rect_<double> const &)" (?init@Tracker@cv@@QEAA_NAEBVMat@2@AEBV?$Rect_@N@2@@Z),该符号在函数 main 中被引用

point_collect

D:\\work\\project\\point_collect\\point_collect\\质点追踪.obj

1

 

一共有四个这里显示了一个,原因就是没引入tracking的动态链接库,就是要将cmake后的文件夹下的动态链接库引入到工程中,

然后配置输入文件的附加依赖项:

这里注意如果是

Debug:

opencv_aruco320d.lib

opencv_bgsegm320d.lib

opencv_bioinspired320d.lib

opencv_calib3d320d.lib

opencv_ccalib320d.lib

opencv_core320d.lib

opencv_datasets320d.lib

opencv_dnn320d.lib

opencv_dpm320d.lib

opencv_face320d.lib

opencv_features2d320d.lib

opencv_flann320d.lib

opencv_fuzzy320d.lib

opencv_highgui320d.lib

opencv_imgcodecs320d.lib

opencv_imgproc320d.lib

opencv_line_descriptor320d.lib

opencv_ml320d.lib

opencv_objdetect320d.lib

opencv_optflow320d.lib

opencv_phase_unwrapping320d.lib

opencv_photo320d.lib

opencv_plot320d.lib

opencv_reg320d.lib

opencv_rgbd320d.lib

opencv_saliency320d.lib

opencv_shape320d.lib

opencv_stereo320d.lib

opencv_stitching320d.lib

opencv_structured_light320d.lib

opencv_superres320d.lib

opencv_surface_matching320d.lib

opencv_text320d.lib

opencv_tracking320d.lib

opencv_video320d.lib

opencv_videoio320d.lib

opencv_videostab320d.lib

opencv_xfeatures2d320d.lib

opencv_ximgproc320d.lib

opencv_xobjdetect320d.lib

opencv_xobjdetect320d.lib

 否则:

  1. opencv_aruco320.lib  
  2. opencv_bgsegm320.lib  
  3. opencv_bioinspired320.lib  
  4. opencv_calib3d320.lib  
  5. opencv_ccalib320.lib  
  6. opencv_core320.lib  
  7. opencv_datasets320.lib  
  8. opencv_dnn320.lib  
  9. opencv_dpm320.lib  
  10. opencv_face320.lib  
  11. opencv_features2d320.lib  
  12. opencv_flann320.lib  
  13. opencv_fuzzy320.lib  
  14. opencv_highgui320.lib  
  15. opencv_imgcodecs320.lib  
  16. opencv_imgproc320.lib  
  17. opencv_line_descriptor320.lib  
  18. opencv_ml320.lib  
  19. opencv_objdetect320.lib  
  20. opencv_optflow320.lib  
  21. opencv_phase_unwrapping320.lib  
  22. opencv_photo320.lib  
  23. opencv_plot320.lib  
  24. opencv_reg320.lib  
  25. opencv_rgbd320.lib  
  26. opencv_saliency320.lib  
  27. opencv_shape320.lib  
  28. opencv_stereo320.lib  
  29. opencv_stitching320.lib  
  30. opencv_structured_light320.lib  
  31. opencv_superres320.lib  
  32. opencv_surface_matching320.lib  
  33. opencv_text320.lib  
  34. opencv_tracking320.lib  
  35. opencv_video320.lib  
  36. opencv_videoio320.lib  
  37. opencv_videostab320.lib  
  38. opencv_xfeatures2d320.lib  
  39. opencv_ximgproc320.lib  
  40. opencv_xobjdetect320.lib  

 

以上是关于win10 下的opencv3.2.0实现tracker常见问题----必要条件整理的主要内容,如果未能解决你的问题,请参考以下文章

vs2013配置opencv3.2.0

已安装的适用于 Windows 10 64 位的 OpenCV3.2.0 中缺少许多 .lib 文件

Win10系统下编译GEOS3.6.2

win10环境下yolov3的配置

[OpenCV][关于OpenCV3.2.0+VS2015+Win10环境搭建]

opencv3日记_开发环境设置(vs2013+opencv3.2)