问题描述
在某些背景下,我正在Visual Studio 2019中进行编译,并在LabVIEW 2017中运行代码.之所以在LabVIEW中进行,是为了研究控制机械龙门.这是视觉系统,应该可以检测矩形(用于硅检测器的引线键合焊盘).
For some background, I am compiling in Visual Studio 2019 and running the code inside LabVIEW 2017. The reason I am doing it in LabVIEW is for research to control a robotic gantry. This is the vision system and it is supposed to detect rectangles (wirebond pads for silicon detectors).
我需要它至少给我看一张图片或其他东西,但是当我在LabVIEW中运行它时,它只是说它没有响应,这使我很难关闭程序.太令人沮丧了!如果我的C ++代码没有大错误,那么我知道我必须更深入地研究LabVIEW代码.
I need it to atleast show me a picture or something but when I run it in LabVIEW, it just says it is not responding and makes me hard close the program. So frustrating! If theres no huge errors in my C++ code then I know I have to dig deeper into my LabVIEW code.
以下代码是我的问题.我对C ++和一般编程还是相当陌生的.我已经完成了LabVIEW内部每一行的步骤,当它停止响应时是它开始抓取nominalHeight
,xfov
等...时,或者只是当它进入WBPdetection
函数时.
The following code is my problem. I am fairly new to C++ and programming in general. I have done the step each line inside LabVIEW and when it stops responding is when it starts to grab the nominalHeight
, xfov
etc... or just when it goes into the WBPdetection
function in general.
我们非常感谢您的帮助.或者,如果有人可以将我指向正确的方向.
Any help is much appreciated. Or if someone could just point me in the right direction.
#include "stdafx.h"
#include "utils.h"
#include "WBPdetection.h"
#include "opencv2/opencv.hpp"
#include "opencv2/imgproc.hpp"
#include "opencv2/highgui/highgui.hpp"
#include <vector>
using namespace std;
void show3(cv::Mat img)
{
cv::namedWindow("MyWindow", cv::WINDOW_AUTOSIZE);
cv::imshow("MyWindow", img);
cv::waitKey(0);
cv::destroyWindow("MyWindow");
}
__declspec(dllexport) int __cdecl WBPdetection(
char* imgPtr,
int imgLineWidth,
int imgWidth,
int imgHeight,
double percent_size,
double nominalWidth,
double nominalHeight,
double tolerance,
double xfov,
double yfov)
{
cv::Mat img(imgHeight, imgWidth, CV_8U, (void*)imgPtr, imgLineWidth);
cv::resize(img, img, cv::Size(img.cols * percent_size, img.rows * percent_size), 0, 0);
//PREPPING IMAGE FOR DETECTION ALGORITHIM
cv::threshold(img, img, 125, 255, cv::THRESH_OTSU);
cv::GaussianBlur(img, img, cv::Size(5, 5), 0);
cv::erode(img, img, cv::Mat(), cv::Point(-1, -1), 2, 1, 1);
cv::dilate(img, img, cv::Mat(), cv::Point(-1, -1), 1, 1, 1);
//USE FIND CONTOURS ALGORITHIM
vector<vector<cv::Point>> contours;
vector<cv::Vec4i> hierarchy;
cv::findContours(img, contours, hierarchy, cv::RETR_TREE, cv::CHAIN_APPROX_SIMPLE);
for( int i = 0; i < contours.size(); i++ )
{ approxPolyDP( cv::Mat(contours[i]), contours_poly[i], 3, true );
boundRect[i] = cv::boundingRect( cv::Mat(contours_poly[i]) );
}
vector<vector<double>> dimRects; //ex [ [w1,h1], [w2,h2], [w3,h3], ...]
vector<cv::Point> centerRects; //ex [ [c1], [c2], [c3], ... ]
//PUTTING DIMENSIONS OF ALL RECTANGLES IN VECTORS
for (int i = 0; i < contours.size(); i++)
{
cv::Point center = ((boundRect[i].tl().x + boundRect[i].br().x) / 2, (boundRect[i].tl().y + boundRect[i].br().y) / 2); //what about even pixels
double rectWidth = (boundRect[i].br().x - boundRect[i].tl().x) * (xfov / img.cols); //might not matter tbh
double rectHeight = (boundRect[i].tl().y - boundRect[i].br().y) * (yfov / img.rows);
dimRects[i].push_back(rectWidth);
dimRects[i].push_back(rectHeight);
centerRects.push_back(center);
}
//DEFINING minWidth, etc... FROM tolerance AND nominalWidth
double minWidth = nominalWidth * (1 - tolerance);
double maxWidth = nominalWidth * (1 + tolerance);
double minHeight = nominalHeight * (1 - tolerance);
double maxHeight = nominalHeight * (1 + tolerance);
// DRAWING CONTOURS AND BOUNDING RECTANGLE + CENTER
for( int i = 0; i< dimRects.size(); i++ )
{
cv::Scalar color = cv::Scalar(255,255,255); //creates color
if ((dimRects[i][0] > minWidth && dimRects[i][0] < maxWidth) && (dimRects[i][1] > minHeight && dimRects[i][1] < maxHeight))
{
drawContours(img, contours_poly, i, color, 1, 8, vector<cv::Vec4i>(), 0, cv::Point());
rectangle(img, boundRect[i].tl(), boundRect[i].br(), color, 2, 8, 0);
circle(img, centerRects[i], 1, cv::Scalar(0, 0, 255), 1, cv::LINE_8);
}
}
show3(img);
return 0;
}
推荐答案
这里有一个错误
vector<vector<double>> dimRects;
...
for (int i = 0; i < contours.size(); i++)
{
...
dimRects[i].push_back(rectWidth);
dimRects[i].push_back(rectHeight);
dimRects
的大小为零,但是您的代码将其视为与contours
相同的大小.
dimRects
has zero size but your code treats it as if it has the same size as contours
.
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