利用OpenCV给图像添加标注

本程序使用范围：为运动目标跟踪提供ground truth【真实数据】，然后你可以进行各种跟踪算法误差对比

这是写论文的好帮手哦！

内容转自：http://blog.csdn.net/xiaowei_cqu，是个妹子

我在她代码上稍微改进了下。

代码如下：

// pic_label.cpp : 定义控制台应用程序的入口点。
//

#include "stdafx.h"
#include "cv.h"
#include "highgui.h"
#include <iostream>
#include <string>
#include <vector>
#include <fstream>
using namespace std;

//全局变量
bool is_drawing=false;
vector<CvRect> biaozhu_boxs;
CvRect drawing_box;
IplImage *img,*img1;


static void help();
static void onMouse( int event, int x, int y, int, void* );

int _tmain(int argc, _TCHAR* argv[])
{
	CvFont font;
	CvScalar scalar;
	char text[10];

	// 初始化字体
	double hScale=1;   
	double vScale=1;    
	int lineWidth=3;// 相当于写字的线条
	scalar=CV_RGB(255,0,0);
	cvInitFont(&font,CV_FONT_HERSHEY_SIMPLEX|CV_FONT_ITALIC, hScale,vScale,0,lineWidth);//初始化字体，准备写到图片上的  

	int frame_counter = 0;
	int obj_id = 0;

	CvCapture *capture=cvCreateFileCapture("a.avi");
	img = cvQueryFrame(capture);
	img1 = cvCreateImage(cvSize(img->width,img->height),IPL_DEPTH_8U,3);
	cvCopy(img,img1);

	ofstream outfile("a.txt");
	help();

	for(vector<CvRect>::iterator it=biaozhu_boxs.begin();it!=biaozhu_boxs.end();++it)
	{
		cvRectangle(img1,cvPoint((*it).x,(*it).y),cvPoint((*it).x + (*it).width,(*it).y + (*it).height),CV_RGB(0,255,0));
	}
	cvShowImage("video",img);

	cvSetMouseCallback( "video", onMouse, 0 );

	while (1)
	{
		int c=cvWaitKey(0);
		if( (c & 255) == 27 )
		{
			cout << "Exiting ...\n";
			break;
		}

		switch((char)c)
		{
		case 'n':
			//read the next frame
			++frame_counter;
			img = cvQueryFrame(capture);
			cvCopy(img,img1);
			if(!img){
				cout<<"\nVideo Finished!"<<endl;
				return 0;
			}

			//save all of the labeling rects
			for(vector<CvRect>::iterator it=biaozhu_boxs.begin();it!=biaozhu_boxs.end();++it)
			{
				cvRectangle(img1,cvPoint((*it).x,(*it).y),cvPoint((*it).x + (*it).width,(*it).y + (*it).height),CV_RGB(0,255,0));
				itoa(obj_id,text,10);
				cvPutText(img1,text,cvPoint((*it).x,(*it).y),&font,CV_RGB(255,255,255));//在图片中输出字符
				outfile<<frame_counter<<" "<<obj_id<<" "<<(*it).x<<" "
					<<(*it).y<<" "<<(*it).width<<" "
					<<(*it).height<<endl;
				obj_id++;
			}
			obj_id = 0;
			break;
		case 'c':
			//clear all the rects on the image
			biaozhu_boxs.clear();
			cvCopy(img,img1);
		}
		cvShowImage("video",img1);
	}

	cvNamedWindow("video",0);
	cvReleaseCapture(&capture);
	cvDestroyWindow("video");
	return 0;
}

static void help()
{
	cout << "This program designed for labeling video \n"
		<<"Coded by L. Wei on 9/4/2013\n"<<endl;

	cout<<"Use the mouse to draw rectangle on the image for labeling.\n"<<endl;

	cout << "Hot keys: \n"
		"\tESC - quit the program\n"
		"\tn - next frame of the video\n"
		"\tc - clear all the labels\n"
		<<endl;
}

static void onMouse( int event, int x, int y, int, void* )
{
	switch(event)
	{
	case CV_EVENT_LBUTTONDOWN: 
		//the left up point of the rect
		is_drawing=true;
		drawing_box.x=x;
		drawing_box.y=y;
		break;
	case CV_EVENT_MOUSEMOVE:
		//adjust the rect (use color blue for moving)
		if(is_drawing){
			drawing_box.width=x-drawing_box.x;
			drawing_box.height=y-drawing_box.y;
			cvCopy(img,img1);
			for(vector<CvRect>::iterator it=biaozhu_boxs.begin();it!=biaozhu_boxs.end();++it)
			{
				cvRectangle(img1,cvPoint((*it).x,(*it).y),cvPoint((*it).x + (*it).width,(*it).y + (*it).height),CV_RGB(0,255,0));
			}
			cvRectangle(img1,cvPoint(drawing_box.x,drawing_box.y),cvPoint(drawing_box.x+drawing_box.width,drawing_box.y+drawing_box.height),CV_RGB(255,0,0));
		}
		break;
	case CV_EVENT_LBUTTONUP:
		//finish drawing the rect (use color green for finish)
		if(is_drawing){
			drawing_box.width=x-drawing_box.x;
			drawing_box.height=y-drawing_box.y;
			cvCopy(img,img1);
			for(vector<CvRect>::iterator it=biaozhu_boxs.begin();
				it!=biaozhu_boxs.end();++it){
					cvRectangle(img1,cvPoint((*it).x,(*it).y),cvPoint((*it).x + (*it).width,(*it).y + (*it).height),CV_RGB(0,255,0));
			}
			cvRectangle(img1,cvPoint(drawing_box.x,drawing_box.y),cvPoint(drawing_box.x+drawing_box.width,drawing_box.y+drawing_box.height),CV_RGB(255,0,0));
			biaozhu_boxs.push_back(drawing_box);
		}
		is_drawing=false;
		break;
	}
	cvShowImage("video",img1);
	return;
}

1.鼠标框定目标【可多个】

2.按n，进入下一帧，保存当前框定目标坐标到txt文本【可多个】

3.按c，清除当前帧所有已标定区域【人总有犯错的时候】或者上一帧遗留的区域

文件保存格式：

帧编号 目标编号 矩形左上角坐标 矩形右下角坐标

图片如下：

接下来，就用Matlab尽情的画折线图吧！！吼吼！