attributeerror: module keras preprocessing image has no attribute load img

Module ‘keras.preprocessing.image’ has no attribute ‘load_img’

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Are you familiar with the attributeerror: module ‘keras.preprocessing.image’ has no attribute ‘load_img’?

Have you ever come across one like this? Why does this error occur?

We know how frustrating it is to encounter an error while working on a project.

That is why we are here to help you solve such an error.

In this article, we will show you how to solve the attributeerror: module ‘keras.preprocessing.image’ has no attribute ‘load_img’.

Aside from that, we will also explain to you why this error occurs and, for additional information, what Python is.

So, without further ado, let us enhance our knowledge with this information:

Why does this error occur?

The reason why this error occurs is due to the deprecated Keras preprocessing API.

The other possible reason is that Keras is outdated and does not have the load_img() function, or it was incorrectly installed.

What is Python?

Python is one of the most popular programming languages.

It is used for developing a wide range of applications.

In addition, Python is a high-level programming language that is used by most developers due to its flexibility.

Returning to our issue, we must take a few actions to fix this error.

Here’s our “how to fix this error” tutorial.

How to solve “module ‘keras.preprocessing.image’ has no attribute ‘load_img'” in Python

Time needed: 3 minutes.

Here’s how to resolve the attributeerror: module ‘keras.preprocessing.image’ has no attribute ‘load_img’ in Python:

  1. Import the load_img() function.


    Resolving the attributeerror: module ‘keras.preprocessing.image’ has no attribute ‘load_img’ is an easy task.

    All you have to do is import the load_img() function from tensorflow.keras.utils.load_img.

    Here’s an example:

    from tensorflow.keras.utils import load_img


    img = load_img(
    ‘venv/Images/Cb.png’,
    target_size=(500, 500)
    )

    img.show()

  2. Import the whole TensorFlow module.


    The code below is the correct import of the TensorFlow module.

    import tensorflow as tf

    img = tf.keras.utils.load_img(
    ‘venv/Images/Cb.png’,
    target_size=(500, 500)
    )

    img.show()

Upgrade the Keras module

If the error still exists, it might be because the Keras module installed in your system is outdated and does not have the load_img() function.

Try upgrading it by using the command pip install keras –upgrade.

attributeerror: module 'keras.preprocessing.image' has no attribute 'load_img'

This command will upgrade the Keras module to its latest version.

Reinstall the Keras module

Another way, if the error still exists after upgrading it, is to reinstall the Keras module.

To do so, follow the steps below.

  1. Uninstall the Keras module.

    To uninstall the Keras module, input the pip uninstall keras command, then press the Enter key.

    After inputting the pip uninstall keras command, results will come out, and this question will also appear (Proceed (Y/n)?).

    Once that appears, just type Y, then click the Enter key.

    pip uninstall keras - attributeerror: module 'keras.preprocessing.image' has no attribute 'load_img'
  1. Install the Keras module.

    After uninstalling the Keras module, install it again.

    To do so, enter the pip install keras command.

    Note:

    If you’re using Python 3, use the command pip3 install keras.

    Use the command !pip install keras if you’re using Jupyter Notebook.

    However, use the command conda install -c conda-forge keras if you’re using Anaconda.

Commands you might need

  • pip list

    This command will display all the packages installed on your system, including their versions.

    If you’re using Jupyter Notebook, use the !pip list command.

    However, if you’re using Anaconda, use the command conda list.
  • python -m

    Include this command in your pip install keras command if you get an error message stating that “pip” cannot be found.

    Example: python -m pip install keras

    However, if you’re using Python 3, use the command python3 -m pip install keras.
  • pip install –upgrade pip

    Use this command to upgrade the pip package manager to its newest version.

    If your pip is already in the latest version, this will come out: “Requirement already satisfied.”
  • pip –version

    Use this command if you want to check what version of pip you have or have installed on your system.
  • python –version

    Use this command if you want to check what version of Python you have.
  • pip show keras

    Use this command to display information about your Keras module, including its location.

    If you’re using Jupyter Notebook, use the command !pip show keras.

Conclusion

In conclusion, the attributeerror: module ‘keras.preprocessing.image’ has no attribute ‘load_img’ can be easily solved by importing the load_img() function from tensorflow.keras.utils.load_img.

You can also simply upgrade the Keras module or reinstall it.

By following the guide above, there’s no doubt that you’ll be able to resolve this error quickly.

We hope you’ve learned a lot from this.

Thank you for reading, and have fun coding!

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