为什么我的 Numpy 数组显示为零，python

Question

我的数据集由图像组成，有 3 个类别。我的课程是“AD”、“MCI”和“CN”。在标记这些类和我的图像时，我设置了 AD=1、MCI=2 和 CN=3，并将我的类标签保存在 data_label.npy 文件中。我将调整大小的图像转换为 resized_images.npy 文件并将其保存为 numpy 数组。我的标记数据总数为 16667。当我查看 data.label 文件时，它始终显示为零。我应该怎么办？我想通过将我的图像与 csv 文件中的类映射来创建图像文件和标签 numpy 文件。

import os
import numpy as np
from os import listdir
from PIL import Image
from numpy import genfromtxt
from numpy import asarray
import csv
arr=[]
with open("field_3planelocalizer_3_01_2023.csv", 'r') as file:
  csvreader = csv.reader(file)
  for row in csvreader:
    arr.append(row)

data_label=np.zeros(1)
datum_label=np.zeros((1,1))
datum_label=datum_label[0]
data_label = np.expand_dims(data_label, axis=0)
#print(data_label.shape)
#print(datum_label.shape)
temp = np.zeros(shape=(1,224,224))
from os.path import isfile, join

for images in os.listdir():
    # check if the image ends with png
    if (images.endswith(".png")):
        #print(images)
        im=Image.open(images)
        data = asarray(im)
        #create Pillow image
        image2 = Image.fromarray(data)
        resized_image = image2.resize((224,224))
        image_array = np.array(resized_image)
        #print(len(arr))

        if(image_array.shape!=(224,224)):
          print("boyut uyuşmuyor",images)
        else:
            for k in range(1,len(arr)):
              #print(k)
              #images = images[5:15] #substring ile subject sütunundaki isim gibi çevrilen görüntü ismi kısaltıldı
              #print('images',images[5:15])
              #print('arr[k][1]',arr[k][1])
              if images[5:15] == (arr[k][1]): #1. sütun görüntü adı
                label = (arr[k][2]) #ikinci sütun etiketlerin olduğu yer
                if(label.find('CN')!=-1):
                  datum_label[0]=1
                if(label.find('MCI')!=-1):
                  datum_label[0]=2
                if(label.find('AD')!=-1):
                  datum_label[0]=3

                print(label,datum_label)
                print(data_label.shape)
                print(datum_label.shape)
              
                datum_label=np.zeros((1,1))
                data_label = np.concatenate((data_label,datum_label),axis=0)
                datum_label=np.zeros(1)
                image_array = np.expand_dims(resized_image, axis=0)
                
                temp=np.concatenate((temp, image_array), axis=0)
                print("images", images)
                print("data_label",data_label)

temp=temp[1:,:] 
data_label=data_label[1:,:]             
np.save("resized_images",temp)
np.save("data_label",data_label)
print(temp.shape)
print(data_label.shape)

为什么我的 Numpy 数组显示为零