迁移学习遇「ImageDataGenerator无image_data_generator属性」错误求助

Hey there, let's break down this error and fix it step by step!

The error 'ImageDataGenerator' object has no attribute 'image_data_generator' tells you exactly what's wrong:
You created an instance of the ImageDataGenerator class (from Keras/TensorFlow), and then tried to access an attribute or method named image_data_generator on that instance—but this attribute/method doesn't exist in the ImageDataGenerator class at all.

This usually happens for one of two reasons:

• You mixed up how to call the class vs. its instance methods
• You made a typo when trying to use a valid method of ImageDataGenerator (like flow_from_directory or flow)

Let's walk through fixing the code in your repo:

1. First, access your running container and open the problematic script:

   docker exec -it CONTAINER_ID /bin/bash
   cd /docker
   nano train-predict.py
   

2. Search for every line that uses image_data_generator. You'll likely find code that looks like this (the wrong approach):

   # Example of the mistake
   data_gen = ImageDataGenerator(rescale=1./255)
   train_generator = data_gen.image_data_generator(...)
   

3. Replace that incorrect line with the appropriate valid method from ImageDataGenerator. For example, if you're loading images from a directory structure, use flow_from_directory:

   data_gen = ImageDataGenerator(rescale=1./255)
   train_generator = data_gen.flow_from_directory(
       './train_images',  # Update this to your actual image path
       target_size=(224, 224),  # Match your model's input size
       batch_size=32,
       class_mode='binary'  # Adjust based on your classification task
   )
   

4. Save the file, then re-run the training script to verify the fix:

   python3 ./train-predict.py
   

• Always keep in mind that ImageDataGenerator's core usable methods are things like flow, flow_from_directory, flow_from_dataframe—there's no image_data_generator method/attribute
• Double-check that you're not trying to reference the class name as an attribute of its own instance
• When copying code snippets, make sure you're not mixing up class-level vs. instance-level calls

内容的提问来源于stack exchange，提问作者zono