AttributeError：模块“cv2.aruco”没有属性“Dictionary_get”

Question

AttributeError：模块“cv2.aruco”没有属性“Dictionary_get”

即使安装后

• opencv-python
• opencv-contrib-python

import numpy as np
import cv2, PIL
from cv2 import aruco
import matplotlib.pyplot as plt
import matplotlib as mpl
import pandas as pd

vid = cv2.VideoCapture(0)

while (True):

    ret, frame = vid.read()
    #cv2.imshow('frame', frame)

    if cv2.waitKey(1) & 0xFF == ord('q'):
        break
    gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
    aruco_dict = aruco.Dictionary_get(aruco.DICT_6X6_250)
    parameters =  aruco.DetectorParameters()
    corners, ids, rejectedImgPoints = aruco.detectMarkers(gray, aruco_dict, parameters=parameters)
    frame_markers = aruco.drawDetectedMarkers(frame.copy(), corners, ids)

    plt.figure()
    plt.imshow(frame_markers)
    for i in range(len(ids)):
        c = corners[i][0]
        plt.plot([c[:, 0].mean()], [c[:, 1].mean()], "o", label = "id={0}".format(ids[i]))
    plt.legend()
    plt.show()
vid.release()
# Destroy all the windows
cv2.destroyAllWindows()

查找和标记 aruco 的正常示例

Answer 1

4.7.x 的 API 发生了变化，我更新了一个小片段。现在您需要实例化 ArucoDetector 对象。

import cv2 as cv

dictionary = cv.aruco.getPredefinedDictionary(cv.aruco.DICT_4X4_250)
parameters =  cv.aruco.DetectorParameters()
detector = cv.aruco.ArucoDetector(dictionary, parameters)

frame = cv.imread(...)

markerCorners, markerIds, rejectedCandidates = detector.detectMarkers(frame)

• OpenCV：cv::aruco::ArucoDetector 类参考
• OpenCV：cv::aruco::字典类参考

Answer 2

从新版本安装旧版本的 opencv-contrib-python 后，它工作正常

pip install opencv-contrib-python==4.6.0.66

https://pypi.org/project/opencv-contrib-python/4.6.0.66/

Answer 3

我使用Python 3.8，试试这个：

pip uninstall opencv-contrib-python opencv-python

然后安装：

pip install opencv-contrib-python==4.7.0.68 opencv-python==4.7.0.68

Answer 4

该问题是由于 opencv 版本 4.7.0 中的 aruco api 更改所致。下面的代码可以处理旧版本和新版本的 opencv。

import cv2
from packaging import version  # Installed with setuptools, so should already be installed in your env.


if version.parse(cv2.__version__) >= version.parse("4.7.0"):
    dictionary = cv2.aruco.getPredefinedDictionary(cv2.aruco.DICT_5X5_250)
    detectorParams = cv2.aruco.DetectorParameters()
    detector = cv2.aruco.ArucoDetector(dictionary, detectorParams)
    marker_corners, marker_ids, rejected_candidates = detector.detectMarkers(image)
else:
    dictionary = cv2.aruco.Dictionary_get(cv2.aruco.DICT_5X5_250)
    detectorParams = cv2.aruco.DetectorParameters_create()
    marker_corners, marker_ids, rejected_candidates = cv2.aruco.detectMarkers(
        image, dictionary, parameters=detectorParams
    )