从函数更改为类时的 self.attribute 错误

如何解决从函数更改为类时的 self.attribute 错误

python 和一般编码的新手.. 不知道为什么代码会抛出这个错误：

文件“c:\Users...\Python Projects\Trials\Trial 4\findClickPositions.py”，第 18 行，在 findclickpositions
AttributeError: 'numpy.ndarray' 对象没有属性 'needle_img_path'

第 18 行是：

self.needle_img_path = str("./Trees/" + str(Tree) + ".png")

完整代码如下：

import cv2 as cv
import numpy as np
import os
from random import randint
from windowcapture import Windowcapture
from time import time

class find_object:

    def __init__(self):
        
        self.whatami = []
        self.needle_img_path = str("")

    def findclickpositions(self,img,Tree='tree',threshold=0.95,debug_mode=None):

        os.makedirs('Trees',exist_ok=True)
        self.needle_img_path = str("./Trees/" + str(Tree) + ".png")
        self.treeimage = cv.imread(self.needle_img_path,cv.IMREAD_REDUCED_COLOR_2)
        if not self.treeimage:
            raise Exception('Image file of requested tree not found')

        self.needle_img = cv.imread(self.needle_img_path,cv.IMREAD_REDUCED_COLOR_2)

        self.method = cv.TM_CCOEFF_norMED
        self.result = cv.matchTemplate(self.img,self.needle_img,self.method)

        #cv.imshow('Result',result)
        #cv.waitKey()

        self.min_val,self.max_val,self.min_loc,self.max_loc = cv.minMaxLoc(self.result) #gets the best match position

        #print('Best match top left postion: %s' % str(max_loc))
        #print('Best match confidence: %s' % str(max_val))

        self.locations = np.where(self.result >=self.threshold)
        self.locations = list(zip(*self.locations[::-1]))

        #print(locations)

        self.needle_w = self.needle_img.shape[1]
        self.needle_h = self.needle_img.shape[0]

        self.rectangles = []
        for self.loc in self.locations:
            self.rect = [int(loc[0]),int(self.loc[1]),self.needle_w,self.needle_h]
            self.rectangles.append(self.rect)
            self.rectangles.append(self.rect)

        self.rectangles,self.weights = cv.groupRectangles(self.rectangles,1,0.5)

        #print(rectangles)

        if len(self.rectangles):
            #print('Matches found')

            line_colour = (0,255)
            line_type = cv.LINE_4

            self.marker_colour = (255,255)
            self.marker_type = cv.MARKER_CROSS

            for (x,y,w,h) in rectangles:

                self.top_left = (x,y)
                self.bottom_right = (x + w,y + h)      #finding bottom right corner to draw the rectangle

                cv.rectangle(self.screenshot_img,self.top_left,self.bottom_right,self.line_colour,self.line_type)

                self.centre_x = x + int(w/2)
                self.centre_y = y + int(h/2)
                
                self.points = []
                self.points.append((centre_x,centre_y))

                cv.drawMarker(self.screenshot_img,(self.centre_x,self.centre_y),self.marker_colour,self.marker_type)

            #cv.imshow('Results',self.screenshot_img)
            #cv.waitKey()
        else:
            print('No good match found')

        return self.screenshot_img

我正在从主程序运行它，并向方法传递“img”的图像和“tree”的“tree”图像。我什至不知道 numpy 在哪里进入代码的这一部分，其中说有错误。我尝试将其初始化为字符串（如您在此代码中所见），但没有任何区别。即使我在这一行注释掉它，我在下一行也得到了完全相同的东西；当我输入地址时，问题出现在“self.treeimage”上。