- 1 year ago
Why do I get the AttributeError: 'DirectoryIterator' object has no attribute 'shape'
The error "AttributeError: 'DirectoryIterator' object has no attribute 'shape'" typically occurs when you are trying to access the shape
attribute of a DirectoryIterator
object in Python, which does not have a shape
attribute.
A DirectoryIterator
object is typically created by a data generator in Keras or TensorFlow when loading and processing images from a directory. The DirectoryIterator
object is an iterator that returns batches of images as numpy arrays.
The shape
attribute is typically used to access the dimensions of a numpy array, but it is not a valid attribute of a DirectoryIterator
object.
To resolve this error, you need to make sure that you are calling the shape
attribute on the correct object. If you are trying to access the dimensions of the numpy array returned by the DirectoryIterator
, you can do so by calling the shape
attribute on the numpy array itself, like this:
pythonimport tensorflow as tf
from tensorflow.keras.preprocessing.image import ImageDataGenerator
datagen = ImageDataGenerator(rescale=1./255)
data_iterator = datagen.flow_from_directory('/path/to/directory', target_size=(224, 224), batch_size=32, class_mode='binary')
batch_images, batch_labels = data_iterator.next()
print(batch_images.shape)
In this example, the shape
attribute is called on the batch_images
numpy array, which contains the batch of images returned by the DirectoryIterator
. This should allow you to access the dimensions of the numpy array without encountering the AttributeError
for the DirectoryIterator
object.