[英]How can I get the position and draw rectangle using opencv?
我想在图片框中移动和单击鼠标时获得一个位置。 我想在单击鼠标的时间和位置在图像窗口中创建矩形。
我有一个来自文档的简单代码
#include "stdafx.h"
#include "opencv2/highgui/highgui.hpp"
#include <iostream>
using namespace std;
using namespace cv;
void CallBackFunc(int event, int x, int y, int flags, void* userdata)
{
if ( event == EVENT_LBUTTONDOWN )
{
cout << "Left button of the mouse is clicked - position (" << x << ", " << y << ")" << endl;
}
else if( event == EVENT_RBUTTONDOWN )
{
cout << "Right button of the mouse is clicked - position (" << x << ", " << y << ")" << endl;
}
else if( event == EVENT_MBUTTONDOWN )
{
cout << "Middle button of the mouse is clicked - position (" << x << ", " << y << ")" << endl;
}
else if ( event == EVENT_MOUSEMOVE )
{
cout << "Mouse move over the window - position (" << x << ", " << y << ")" << endl;
}
}
int main(int argc, char** argv)
{
bool isDragging = false;
// Read image from file
Mat img = imread("input/pic1.jpg");
//if fail to read the image
if( img.empty() )
{
cout << "Error loading the image" << endl;
return -1;
}
//Create a window
namedWindow("My Window", 1);
//set the callback function for any mouse event
setMouseCallback("My Window", CallBackFunc, NULL);
//show the image
imshow("My Window", img);
// Wait until user press some key
waitKey(0);
return 0;
}
它适用于 Windows 窗体 =,但我想使用鼠标单击。 我把代码放在 GUI 上。 它引发以下错误:
错误 3 错误 C3867:“ProjectFinal::MyForm::CallBackFunc”:函数调用缺少参数列表; 使用 '&ProjectFinal::MyForm::CallBackFunc' 创建指向成员 c:\\users\\nungningz\\documents\\visual studio 2012\\projects\\projectfinal\\projectfinal\\MyForm.h 690 1 ProjectFinal 的指针
错误 6 错误 C3867:“ProjectFinal::MyForm::CallBackFunc”:函数调用缺少参数列表; 使用 '&ProjectFinal::MyForm::CallBackFunc' 创建指向成员 c:\\users\\nungningz\\documents\\visual studio 2012\\projects\\projectfinal\\projectfinal\\MyForm.h 690 1 ProjectFinal 的指针
7 IntelliSense:指向成员的指针对托管类无效 c:\\Users\\NungNingZ\\Documents\\Visual Studio 2012\\Projects\\ProjectFinal\\ProjectFinal\\MyForm.h 690 37 ProjectFinal
所以你有一个与你的问题无关的问题。
但是,您可以仅使用 OpenCV highgui 工具来实现您的目标:
#include <opencv2\opencv.hpp>
#include <iostream>
using namespace std;
using namespace cv;
vector<Rect> rects;
bool bDraw;
Rect r;
Point base;
Mat3b img;
Mat3b layer;
Mat3b working;
void CallBackFunc(int event, int x, int y, int flags, void* userdata)
{
if ( event == EVENT_LBUTTONDOWN )
{
cout << "Left button of the mouse is clicked - position (" << x << ", " << y << ")" << endl;
// Init your rect
base.x = x;
base.y = y;
r.x = x;
r.y = y;
r.width = 0;
r.height = 0;
bDraw = true;
}
else if ( event == EVENT_MOUSEMOVE )
{
cout << "Mouse move over the window - position (" << x << ", " << y << ")" << endl;
// If drawing, update rect width and height
if(!bDraw) return;
int dx = abs(r.x - x);
int dy = abs(r.y - y);
if(x < base.x) {
r.x = x;
r.width = abs(x - base.x);
} else {
r.width = dx;
}
if(y < base.y) {
r.y = y;
r.height = abs(y - base.y);
} else {
r.height = dy;
}
// Refresh
working = layer.clone();
rectangle(working, r, Scalar(0,255,0));
imshow("My Window", working);
}
else if ( event == EVENT_LBUTTONUP)
{
cout << "Left button released" << endl;
// Save rect, draw it on layer
rects.push_back(r);
rectangle(layer, r, Scalar(0,255,255));
r = Rect();
bDraw = false;
// Refresh
working = layer.clone();
rectangle(working, r, Scalar(0,255,0));
imshow("My Window", working);
}
}
int main(int argc, char** argv)
{
bool bDraw = false;
bool isDragging = false;
// Read image from file
img = imread("path_to_image");
// initialize your temp images
layer = img.clone();
working = img.clone();
//if fail to read the image
if( img.empty() )
{
cout << "Error loading the image" << endl;
return -1;
}
//Create a window
namedWindow("My Window", 1);
//set the callback function for any mouse event
setMouseCallback("My Window", CallBackFunc, NULL);
//show the image
imshow("My Window", working);
// Wait until user presses 'q'
while((waitKey(1) & 0xFF) != 'q');
return 0;
}
在opencv-contrib
tracking
模块中,有一个很好的selectROI
特性。
#include <opencv2/opencv.hpp>
// selectROI is part of tracking API
#include <opencv2/tracking.hpp>
using namespace std;
using namespace cv;
int main (int argc, char **arv)
{
// Read image
Mat im = imread("image.jpg");
// Select ROI
Rect2d r = selectROI(im, false); // false -> for creating rectangle from
// top-left to bottom-right
// Crop image
Mat imCrop = im(r);
// Display Cropped Image
imshow("Image", imCrop);
waitKey(0);
return 0;
}
使用鼠标选择 ROI(感兴趣区域),然后按SPACE
或ENTER
按钮。 按c
按钮取消选择过程。
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