Question

我的代码：

import cv2
import numpy as np
import matplotlib.pyplot as plt

# Feature set containing (x, y) values of 25 known/train data

traindata = np.random.randint(0, 100, (25, 2)).astype(np.float32)

#  Label each one either Red or Blue with numbers 0 and 1
responses = np.random.randint(0, 2, (25, 1)).astype(np.float32)

# Take Red families and plot them
red = traindata[responses.ravel() == 0]
plt.scatter(red[:,0],red[:,1],80,'r','^')

# Take Blue families and plot them
blue = traindata[responses.ravel() == 1]
plt.scatter(blue[:,0],blue[:,1],80,'b','s')
#plt.show()

newcomer = np.random.randint(0, 100, (1, 2)).astype(np.float32)
plt.scatter(newcomer[:, 0], newcomer[:, 1],80, 'g', 'o')

knn = cv2.ml_KNearest()
knn.train(traindata, responses)

ret, results, neighbours, dist = knn.findNearest(newcomer, 3)
plt.show()

链接到此代码的OpenCV文档 - https://docs.opencv.org/3.0-beta/doc/py_tutorials/py_ml/py_knn/py_knn_understanding/py_knn_understanding.html#knn-understanding

** OpenCV版本 - ** OpenCV 3.4.1

编程语言 - Python

我正在尝试使用OpenCV docs网站上的基本代码训练kNN。但它给出错误“不正确的自我类型（必须是'ml_StatModel'或其衍生物）”

我找不到函数cv2.KNearest（）和knn.find_nearest所以我相应地更改了它们。

有人可以试试这段代码并帮助我吗？

感谢。

Answer 1

我在这里发现了类似的问题。 stackoverflow.com/a/32990528/9709132祝你好运！

实现OpenCV docs基本kNN代码时出错“自我类型不正确（必须是'ml_StatModel'或其派生词）”

1 个答案: