函数对象不可下标

Question

    # TensorFlow and tf.keras
    import tensorflow as tf
    from tensorflow import keras
    
    # Helper libraries
    import numpy as np
    import matplotlib.pyplot as plt
    import os 
    import cv2
    
    print(tf.__version__)
    
    DATADIR ="D:\Datasetes\legen"
    CATEGORIES = ['light']
    
    for category in CATEGORIES:
        path = os.path.join(DATADIR,category) #to create a path to the image in our drive
        for img in os.listdir(path):
            img_array = cv2.imread(os.path.join(path,img),cv2.IMREAD_GRAYSCALE)
            plt.imshow(img_array , cmap="gray")
            plt.show
            plt.figure()
            plt.imshow(img_array)
            plt.colorbar()
            plt.grid(False)
            plt.show()
            break
        break
    
    class_names = ['light', 'power', 'capture']
    train_images.shape
    len(train_labels)
    train_labels
    train_images = train_images / 255.0
    train_labels = train_labels / 255.0
    
    test_images = test_images / 255.0
    test_labels = test_labels / 255.0
    
    def class_names():
        for category in CATEGORIES:  
    
            path = os.path.join(DATADIR,category) 
            class_names = CATEGORIES.index(category)  
    
            for img in (os.listdir(path)):  
                try:
                    img_array = cv2.imread(os.path.join(path,img) ,cv2.IMREAD_GRAYSCALE)  # convert to array
                    new_array = cv2.resize(img_array, (IMG_SIZE, IMG_SIZE))  # resize to normalize data size
                    training_data.append([new_array, class_num])
                except Exception as e:  
                    pass
         
 
    import random
    random.shuffle(training_data)
    img_array = cv2.imread(os.path.join(path,img),cv2.IMREAD_GRAYSCALE)
    plt.figure(figsize=(10,10))
    for i in range(10):
        plt.subplot(5,5,i+1)
        plt.xticks([])
        plt.yticks([])
        plt.grid(False)
        plt.imshow(img_array, cmap='gray')
        plt.xlabel(class_names(train_labels)) 
        plt.show()
        break
TypeError                                 Traceback (most recent call last)
<ipython-input-147-400073625620> in <module>
     29     plt.grid(False)
     30     plt.imshow(img_array, cmap='gray')
---> 31     plt.xlabel(class_names(train_labels))
     32     plt.show()
     33     break

TypeError: class_names() 接受 0 个位置参数，但给出了 1 个

这是我正在使用的代码，它不断给出错误，因为“函数”对象不可下标。我已将整个代码添加到其中。请帮忙，因为这是一个学校项目，它包含在我该死的 GPA 中，错误发生在代码的最后一部分

Answer 1

名称 class_names 既用作变量也用作函数名称。因此，当您这样做时会产生歧义

class_names[]

在这里首次使用

class_names = ['light', 'power', 'capture']

那么这里

def class_names():

在这个之后 class_names 不再是一个列表而是一个函数。

然后，当你这样做时

class_names[something] - it is an error