cv2.circle(img, (int(point['x']), int(point['y'])), 2, (0, 255, 255), -1)什么意思
时间: 2024-01-28 11:03:49 浏览: 24
这是使用OpenCV库在图像上绘制一个圆形的函数。具体来说,它的参数解释如下:
- img:要绘制圆形的图像。
- (int(point['x']), int(point['y'])):圆心的坐标,这里使用了字典类型的point变量来表示坐标,将其x和y值强制转换为整数类型。
- 2:圆的半径。
- (0, 255, 255):圆的颜色,这里是黄色,用(R,G,B)的形式表示。
- -1:表示圆形内部的填充方式,-1为实心圆,0或正整数为空心圆。
相关问题
import cv2 import numpy as np img = cv2.imread('2.jpg') gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) circles = cv2.HoughCircles(gray, cv2.HOUGH_GRADIENT, 1, 100, param1=100, param2=30, minRadius=5, maxRadius=300) circle = circles[0][0] center = (int(circle[0]), int(circle[1])) radius = int(circle[2]) angle = np.pi / 4 # 45度 point_on_circle = (int(center[0] + radius * np.cos(angle)), int(center[1] + radius * np.sin(angle))) print('圆心坐标:',center) print('圆上一点坐标',int(center[0] + radius * np.cos(angle)) ,int(center[1] + radius * np.sin(angle))) cv2.circle(img, center, radius, (0, 255, 0), 2) cv2.circle(img, center, 2, (0, 0, 255), 3) cv2.circle(img, point_on_circle, 2, (0, 0, 255), 3) cv2.imshow('image', img) cv2.waitKey(0) cv2.destroyAllWindows()请修改上述代码。可以在qt界面中显示
您可以使用以下代码将上述代码转换为在Qt界面中显示的代码:
```python
import cv2
import numpy as np
from PyQt5.QtGui import QImage, QPixmap
from PyQt5.QtWidgets import QApplication, QLabel, QWidget, QVBoxLayout
class MainWindow(QWidget):
def __init__(self):
super().__init__()
# 读取图像
img = cv2.imread('2.jpg')
# 转换为灰度图
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
# 检测圆
circles = cv2.HoughCircles(gray, cv2.HOUGH_GRADIENT, 1, 100, param1=100, param2=30, minRadius=5, maxRadius=300)
# 取第一个圆
circle = circles[0][0]
# 获取圆心坐标、半径
center = (int(circle[0]), int(circle[1]))
radius = int(circle[2])
# 计算圆上一点坐标
angle = np.pi / 4 # 45度
point_on_circle = (int(center[0] + radius * np.cos(angle)), int(center[1] + radius * np.sin(angle)))
# 在图像中绘制圆和点
cv2.circle(img, center, radius, (0, 255, 0), 2)
cv2.circle(img, center, 2, (0, 0, 255), 3)
cv2.circle(img, point_on_circle, 2, (0, 0, 255), 3)
# 将图像转换为QImage
img_rgb = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
h, w, ch = img_rgb.shape
bytes_per_line = ch * w
qimg = QImage(img_rgb.data, w, h, bytes_per_line, QImage.Format_RGB888)
# 在Qt界面中显示图像
label = QLabel(self)
pixmap = QPixmap.fromImage(qimg)
label.setPixmap(pixmap)
# 设置窗口布局
layout = QVBoxLayout()
layout.addWidget(label)
self.setLayout(layout)
if __name__ == '__main__':
app = QApplication([])
window = MainWindow()
window.show()
app.exec_()
```
这段代码使用了PyQt5库来创建一个Qt界面,并在其中显示图像。您需要安装PyQt5库才能运行此代码。
import cv2 import math def cal_ang(start, center, end): point_1 = start point_2 = center point_3 = end a = math.sqrt( (point_2[0] - point_3[0]) * (point_2[0] - point_3[0]) + (point_2[1] - point_3[1]) * (point_2[1] - point_3[1])) b = math.sqrt( (point_1[0] - point_3[0]) * (point_1[0] - point_3[0]) + (point_1[1] - point_3[1]) * (point_1[1] - point_3[1])) c = math.sqrt( (point_1[0] - point_2[0]) * (point_1[0] - point_2[0]) + (point_1[1] - point_2[1]) * (point_1[1] - point_2[1])) A = math.degrees(math.acos((a * a - b * b - c * c) / (-2 * b * c))) B = math.degrees(math.acos((b * b - a * a - c * c) / (-2 * a * c))) C = math.degrees(math.acos((c * c - a * a - b * b) / (-2 * a * b))) return B img = cv2.imread('46.png') gray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY) ret,thresh = cv2.threshold(gray, 70, 255, cv2.THRESH_BINARY) contours,hierarchy=cv2.findContours(thresh,cv2.RETR_EXTERNAL,cv2.CHAIN_APPROX_NONE) hull = cv2.convexHull(contours[0],returnPoints=False) defects = cv2.convexityDefects(contours[0],hull) start = end = (0,0) for i in range(0,defects.shape[0]): s,e,f,d = defects[i,0] start = tuple(contours[0][s][0]) end = tuple(contours[0][e][0]) far = tuple(contours[0][f][0]) if d > 5000: cv2.line(img,start,end,[0,255,0],2) cv2.circle(img,end,5,[0,0,255],-1) cv2.circle(img,start,5,[0,0,255],-1) break cv2.imshow('find', img) center,radius = cv2.minEnclosingCircle(contours[0]) cv2.circle(img,(int(center[0]),int(center[1])),8,(255,0,255),-1) cv2.circle(img,end,8,[255,0,0],-1) cv2.circle(img,start,8,[255,0,0],-1) cv2.line(img,start,(int(center[0]),int(center[1])),[0,0,255],2) cv2.line(img,end,(int(center[0]),int(center[1])),[0,0,255],2) angle = cal_ang(start,center,end) print('angle = %0.2f' % angle) length = (1 - angle / 360.0) * math.pi * radius * 2 print((angle / 360.0)) print('radius = %0.2f' % radius) strL = 'length=%0.2f' % length cv2.putText(img,strL,(int(center[0]-40),int(center[1]+40)),0,0.8,(0,255,0),2) cv2.imshow('result', img) angle_1 = cal_ang(start, center, ((center[0]+100),(center[1]))) angle_2 = cal_ang(end, center, ((center[0]+100),(center[1]))) cv2.ellipse(img,(int(center[0]),int(center[1])),(int(radius),int(radius)),0,-angle_1,0,(255,0,255),2, cv2.LINE_AA) cv2.ellipse(img,(int(center[0]),int(center[1])),(int(radius),int(radius)),0,0,angle_2,(255,0,255),2,cv2.LINE_AA) cv2.imshow('result', img) cv2.imwrite('result.png',img) cv2.waitKey(0) cv2.destroyAllWindows(),将这段代码转换为c++
以下是将Python代码转换为C++的结果。注意,由于数据类型和库函数的区别,代码可能需要进行微调才能正常运行。
```c++
#include <iostream>
#include <opencv2/opencv.hpp>
#include <math.h>
using namespace std;
using namespace cv;
double cal_ang(Point start, Point center, Point end) {
Point2f point_1 = start;
Point2f point_2 = center;
Point2f point_3 = end;
double a = sqrt(pow(point_2.x - point_3.x, 2) + pow(point_2.y - point_3.y, 2));
double b = sqrt(pow(point_1.x - point_3.x, 2) + pow(point_1.y - point_3.y, 2));
double c = sqrt(pow(point_1.x - point_2.x, 2) + pow(point_1.y - point_2.y, 2));
double A = acos((a * a - b * b - c * c) / (-2 * b * c)) * 180 / CV_PI;
double B = acos((b * b - a * a - c * c) / (-2 * a * c)) * 180 / CV_PI;
double C = acos((c * c - a * a - b * b) / (-2 * a * b)) * 180 / CV_PI;
return B;
}
int main() {
Mat img = imread("46.png");
Mat gray;
cvtColor(img, gray, COLOR_BGR2GRAY);
threshold(gray, gray, 70, 255, THRESH_BINARY);
vector<vector<Point>> contours;
vector<Vec4i> hierarchy;
findContours(gray, contours, hierarchy, RETR_EXTERNAL, CHAIN_APPROX_NONE);
vector<vector<Point>> hull(contours.size());
vector<vector<int>> hullsI(contours.size());
vector<vector<Vec4i>> defects(contours.size());
convexHull(contours[0], hull[0], false);
convexHull(contours[0], hullsI[0], false);
if (hullsI[0].size() > 0) {
Point2f* pts = new Point2f[hullsI[0].size()];
for (size_t i = 0; i < hullsI[0].size(); i++) {
pts[i] = contours[0][hullsI[0][i]];
}
int n = hullsI[0].size();
convexityDefects(pts, n, hullsI[0], defects[0]);
delete[] pts;
}
Point start, end;
for (int i = 0; i < defects[0].size(); i++) {
Vec4i& v = defects[0][i];
int startidx = v[0];
Point ptStart(contours[0][startidx]);
int endidx = v[1];
Point ptEnd(contours[0][endidx]);
int faridx = v[2];
Point ptFar(contours[0][faridx]);
if (v[3] > 5000) {
line(img, ptStart, ptEnd, Scalar(0, 255, 0), 2);
circle(img, ptEnd, 5, Scalar(0, 0, 255), -1);
circle(img, ptStart, 5, Scalar(0, 0, 255), -1);
start = ptStart;
end = ptEnd;
break;
}
}
Point2f center;
float radius = 0;
minEnclosingCircle(contours[0], center, radius);
circle(img, center, 8, Scalar(255, 0, 255), -1);
circle(img, end, 8, Scalar(255, 0, 0), -1);
circle(img, start, 8, Scalar(255, 0, 0), -1);
line(img, start, Point(center), Scalar(0, 0, 255), 2);
line(img, end, Point(center), Scalar(0, 0, 255), 2);
double angle = cal_ang(start, center, end);
cout << "angle = " << angle << endl;
double length = (1 - angle / 360.0) * CV_PI * radius * 2;
cout << angle / 360.0 << endl;
cout << "radius = " << radius << endl;
stringstream ss;
ss << "length=" << fixed << setprecision(2) << length;
String strL = ss.str();
putText(img, strL, Point(center.x - 40, center.y + 40), 0, 0.8, Scalar(0, 255, 0), 2);
double angle_1 = cal_ang(start, center, Point(center.x + 100, center.y));
double angle_2 = cal_ang(end, center, Point(center.x + 100, center.y));
ellipse(img, center, Size(radius, radius), 0, -angle_1, 0, Scalar(255, 0, 255), 2, LINE_AA);
ellipse(img, center, Size(radius, radius), 0, 0, angle_2, Scalar(255, 0, 255), 2, LINE_AA);
imshow("result", img);
imwrite("result.png", img);
waitKey(0);
destroyAllWindows();
return 0;
}
```
相关推荐
![pdf](https://img-home.csdnimg.cn/images/20210720083512.png)
![pdf](https://img-home.csdnimg.cn/images/20210720083512.png)
![rar](https://img-home.csdnimg.cn/images/20210720083606.png)
![](https://csdnimg.cn/download_wenku/file_type_ask_c1.png)
![](https://csdnimg.cn/download_wenku/file_type_ask_c1.png)
![](https://csdnimg.cn/download_wenku/file_type_ask_c1.png)
![](https://csdnimg.cn/download_wenku/file_type_ask_c1.png)
![](https://csdnimg.cn/download_wenku/file_type_ask_c1.png)
![](https://csdnimg.cn/download_wenku/file_type_ask_c1.png)
![](https://csdnimg.cn/download_wenku/file_type_ask_c1.png)
![](https://csdnimg.cn/download_wenku/file_type_ask_c1.png)
![](https://csdnimg.cn/download_wenku/file_type_ask_c1.png)
![](https://csdnimg.cn/download_wenku/file_type_ask_c1.png)
![](https://csdnimg.cn/download_wenku/file_type_ask_c1.png)
![](https://csdnimg.cn/download_wenku/file_type_ask_c1.png)
![](https://csdnimg.cn/download_wenku/file_type_ask_c1.png)