Opencv 时刻没有成员命名 m00，同时试图确定轮廓的中心

Question

我一直在努力制作一个使用 opencv 和 c++ 的颜色检测器，但是在编译时我遇到了大量错误，我不知道为什么它不起作用

我的代码：

#include "opencv2/imgproc.hpp"
#include <iostream>
#include <stdlib.h>
#include <stdio.h>
void detect(cv::Scalar LOWER_COLOR, cv::Scalar UPPER_COLOR, cv::Mat STREAM, double *P_CX, double *P_CY, std::vector < std::vector < cv::Point > > *P_CNTS, int *FAILED){
cv::Mat ALL_COLORS_IN_RANGE;
cv::inRange(STREAM, LOWER_COLOR, UPPER_COLOR, ALL_COLORS_IN_RANGE);
cv::Mat BLURRED;
cv::GaussianBlur(ALL_COLORS_IN_RANGE, BLURRED, cv::Size (121, 121), 0, 0);
cv::Mat THRESH;
cv::threshold(BLURRED, THRESH, 100, 255, 0);
cv::Mat OBJECT;
cv::Mat DIALATE_KERNEL = cv::getStructuringElement(cv::MORPH_RECT, cv::Size((121*121) + 1, (121*121)+1));
cv::dilate(THRESH, OBJECT, DIALATE_KERNEL);
std::vector < std::vector < cv::Point > > CNTS;
std::vector<cv::Vec4i> HIERARCHY;
cv::findContours (OBJECT, CNTS, HIERARCHY, cv::RETR_TREE, cv::CHAIN_APPROX_SIMPLE, cv::Point (0, 0));
if(CNTS.size() == 0){
*FAILED = 1;
}
else{
cv::Moments MU[CNTS.size()];
MU = cv::moments(CNTS);
if(MU.m00 != 0){
*P_CNTS = CNTS;
*P_CX = MU.m10 / MU.m00
*P_CY = MU.m01 / MU.m00
}
else{
*FAILED = 1;
}
}
}

我的编译器输出：

https://pastebin.com/9Y8Y4yaR

Answer 1

我通过找到最大的轮廓并找到该轮廓的时刻来解决我的问题。

#include "opencv2/imgproc.hpp"
#include "opencv2/core.hpp"
#include <iostream>
#include <stdlib.h>
#include <stdio.h>
void detect(cv::Scalar LOWER_COLOR, cv::Scalar UPPER_COLOR, cv::Mat STREAM, double *P_CX, double *P_CY, std::vector < std::vector < cv::Point > > *P_CNTS, int *FAILED){
cv::Mat ALL_COLORS_IN_RANGE;
cv::inRange(STREAM, LOWER_COLOR, UPPER_COLOR, ALL_COLORS_IN_RANGE);
cv::Mat BLURRED;
cv::GaussianBlur(ALL_COLORS_IN_RANGE, BLURRED, cv::Size (121, 121), 0, 0);
cv::Mat THRESH;
cv::threshold(BLURRED, THRESH, 100, 255, 0);
cv::Mat OBJECT;
cv::Mat DIALATE_KERNEL = cv::getStructuringElement(cv::MORPH_RECT, cv::Size((121*121) + 1, (121*121)+1));
cv::dilate(THRESH, OBJECT, DIALATE_KERNEL);
std::vector < std::vector < cv::Point > > CNTS;
std::vector<cv::Vec4i> HIERARCHY;
cv::findContours (OBJECT, CNTS, HIERARCHY, cv::RETR_TREE, cv::CHAIN_APPROX_SIMPLE, cv::Point (0, 0));
if(CNTS.size() == 0){
*FAILED = 1;
}
else{
std::vector<cv::Moments> MU(CNTS.size());
std::vector<cv::Point2f> MC(CNTS.size());
int largest_area=0;
int largest_contour_index=0;
for( int i = 0; i< CNTS.size(); i++ ){
double a=contourArea( CNTS[i],false);
MU[i] = cv::moments( CNTS[i], false );
if(a>largest_area){
largest_area=a;
largest_contour_index=i;
if(MU[i].m00 != 0){
*P_CNTS = CNTS;
*P_CX = MU[i].m10/MU[i].m00;
*P_CY = MU[i].m01/MU[i].m00;
}
else{
*FAILED = 1;
}
}
}
}
}