Frédéric Branchaud-Charron

Yup I saw it. We will plan a major release with all off-by-one fixes. Right now, this would cause a lot of projects to break.

Hello! Thank you for your PR. I am not sure if this is the right way to achieve what you want. Recently, the TF team released [Keras Preprocessing Layers](https://keras.io/guides/preprocessing_layers/) which...

Hello! I see that we set the seed here: https://github.com/keras-team/keras-preprocessing/blob/master/keras_preprocessing/image/iterator.py#L58 COuld you share an example reproducing your issue?

Hello, I tried to reproduce your issue with the following script. I see no issue with it. Can you provide a self-contained end-to-end example? ``` import os import numpy as...

Hello, Note, I'm far from an expert in NLP Do you have an example where you wouldn't use frequency? As long as word_index is sorted in order of importance it...

I think this limitation comes from Pillow and not from keras-preprocessing. TF has a similar limitation in [tf.io.decode_image](https://www.tensorflow.org/api_docs/python/tf/io/decode_image)

You can implement your own tf Dataset: https://www.tensorflow.org/guide/data Or your own keras.Sequence, they are deprecated, but still works. Then for your data augmentation, you can do something similar to [this...

I don't have time to work on this feature in the near future, PRs are welcome :)

self.total_batches_seen is process-independent isn't? If process 1 changes the value, it wouldn't affect process 2. When using threads, I agree that a race-condition will/may occurs, but it is rare that...

> What would happen if seed is not none? then every worker will get different kind of seed. Yeah we probably should use a multiprocess.Value there instead. > version of...