keras.preprocessing.image_dataset_from_directory() No images found in directory

[Kyogre67]

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import matplotlib.pyplot as plt
import numpy as np
import random
from PIL import Image
import tensorflow
from tensorflow import keras
from keras import layers, preprocessing, Sequential
from sklearn.neighbors import KernelDensity
import glob

class CustomImageDataset:
    def __init__(self, directory, image_size, batch_size, label_mode):
        self.dataset = tensorflow.keras.preprocessing.image_dataset_from_directory(
            directory,
            image_size=image_size,
            batch_size=batch_size,
            label_mode=label_mode
        )
        self.label_mode = label_mode

    def __iter__(self):
        return iter(self.dataset)

    def __len__(self):
        return len(self.dataset)

    def map(self, *args, **kwargs):
        return self.dataset.map(*args, **kwargs)

    def batch(self, *args, **kwargs):
        return self.dataset.batch(*args, **kwargs)

    def prefetch(self, *args, **kwargs):
        return self.dataset.prefetch(*args, **kwargs)

SIZE = 8

batch_size = 64

train_generator = preprocessing.image_dataset_from_directory(
    r'C:\Users\{}\Downloads\archive (1)\noncloud_train',    
    image_size=(SIZE, SIZE),
    batch_size=batch_size,
    labels=None
)

validation_generator = preprocessing.image_dataset_from_directory(
    r'C:\Users\{}\Downloads\archive (1)\noncloud_test',
    image_size=(SIZE, SIZE),
    batch_size=batch_size,
    labels=None
)

anomaly_generator = CustomImageDataset(
    r'C:\Users\{}\Downloads\archive (1)\cloud',
    image_size=(SIZE, SIZE),
    batch_size=batch_size,
    labels=None

No images found within the directory unless labels=None. My folder organization is correct, it looks like this:

archive (1) -- cloud ---- files.jpeg -- noncloud_train ---- files.jpeg -- noncloud_test ---- files.jpeg

[tilakrayal]

@Kyogre67, I tried to execute the mentioned code and faced the different error. Kindly find the gist of it here and provide the complete dependencies. Also please let us know the tensorflow and the Keras version you are trying to use. Thank you!

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