aruco detectmarkers python 文心快码BaiduComate 在Python中使用OpenCV库来检测Aruco标记是一个常见的任务。以下是按照你的提示,逐步解释如何使用OpenCV来检测Aruco标记: 导入必要的Python库: 首先,我们需要导入OpenCV库以及cv2.aruco模块。OpenCV是一个开源的计算机视觉和机器学习软件库,而cv2.aruco模块专门用于处理Aruco...
gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY) parameters = aruco.DetectorParameters_create() # 检测图像中的ArUco标记 corners, ids, rejectedImgPoints = aruco.detectMarkers(gray, aruco_dict, parameters=parameters, cameraMatrix=mtx, distCoeff=dist) font = cv2.FONT_HERSHEY_SIMPLEX # 如果检测到ArUco...
# Gradient x is calculated: # the depth of the output is set to CV_16S to avoid overflow # CV_16S = one channel of 2-byte signed integers (16-bit signed integers) gradient_x = cv2.Sobel(gray_image, cv2.CV_16S, 1, 0, 3) gradient_y = cv2.Sobel(gray_image, cv2.CV_16S, 0, ...
读取图像并检测Aruco标记: 代码语言:txt 复制 image = cv2.imread("image.jpg") gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY) corners, ids, _ = aruco.detectMarkers(gray, aruco_dict, parameters=parameters) 计算两个标记之间的距离: 代码语言:txt ...
import cv2 import sys def find_color_card(image): # 加载ArUCo字典,获取ArUCo参数并检测输入图像中的标记 arucoDict = cv2.aruco.Dictionary_get(cv2.aruco.DICT_ARUCO_ORIGINAL) arucoParams = cv2.aruco.DetectorParameters_create() (corners, ids, rejected) = cv2.aruco.detectMarkers(image, arucoDict, pa...
gray = cv2.cvtColor(im, cv2.COLOR_BGR2GRAY) aruco_dict = aruco.Dictionary_get(aruco.DICT_4X4_50) parameters = aruco.DetectorParameters_create() corners,ids,rejectedImgPoints = aruco.detectMarkers(gray,aruco_dict,parameters=parameters) rvec,tvec,_ = aruco.estimatePoseSingleMarkers(corners, aruco...
cv2.imshow("board", img) cv2.waitKey(0) 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 打印得到的Aruco标定板: 我在测试时使用的是手机摄像头,通过不同角度拍摄屏幕上显示的标定板,获得了14张图片来进行标定: 标定得到的数据: 上面是手机相机的内参矩阵,下面是5个失真系数代码里的detect_markers.py可以检测...
不要安装多个OpenCV包。它们决不能同时安装。他们会互相冲突。删除所有opencv-*软件包。然后安装一个。请...
adaptiveThreshWinSizeStep=1# 检测并可视化(corners,ids,rejected)=cv2.aruco.detectMarkers(frame,...
import numpy as np import cv2 import cv2.aruco as aruco test_dict = aruco.getPredefinedDictionary(aruco.DICT_6X6_50) img = cv2.imread(test.jpg) corners, ids, rejects = aruco.detectMarkers(img, test_dict) markerImg = aruco.drawDetectedMarkers(img, corners) rejectImg = aruco.drawDetectedMark...