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How many images are generated by keras fit_generator?


How many images are generated by keras fit_generator?

By : user2172715
Date : October 22 2020, 08:10 PM
Does that help In the fit_generator, there is a hidden argument called max_queue_size=10, which means the generator will try to produce a queue of 10 batches ahead of the current training batch.
You're just seeing the images generated to populate the queue. You can try to use max_queue_size=0, but even though you might see an extra image.
code :


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Keras 2 fit_generator UserWarning: `steps_per_epoch` is not the same as the Keras 1 argument `samples_per_epoch`

Keras 2 fit_generator UserWarning: `steps_per_epoch` is not the same as the Keras 1 argument `samples_per_epoch`


By : Ch0
Date : March 29 2020, 07:55 AM
Any of those help This warning occurs if there's any Keras 1.0 keyword in your function call. Update your function call by replacing nb_epoch with epochs, and nb_val_samples with validation_steps.
Keras: flow_from_directory saving too many images during fit_generator call

Keras: flow_from_directory saving too many images during fit_generator call


By : soft pksiazek
Date : March 29 2020, 07:55 AM
this one helps. The fit_generator function has two additional parameters that are probably the cause of the observed behavior:
workers with default value =1 means that an extra thread will be used to load the images. The thread will fetch the images from the provided generator and put them into a queue. max_queue_size with default value =10 is the maximum length of this queue. The enqueuer thread will be stopped when the call to fit_generator returns, but before it will continue to fill the queue up with images, even if some of those won't be needed anymore.
Keras: model.fit() and model.fit_generator() return history objects. How do I get Keras models?

Keras: model.fit() and model.fit_generator() return history objects. How do I get Keras models?


By : Jason Spontie
Date : March 29 2020, 07:55 AM
hop of those help? Sorry I can't comment yet. Why are you calling predict on the history and not the model itself?
code :
predictions = model.predict(testData)
Keras fit_generator with images from directory and a constant tensor

Keras fit_generator with images from directory and a constant tensor


By : user3231290
Date : March 29 2020, 07:55 AM
I wish did fix the issue. The problem lies with your validation_data= argument; your model expects two input arrays, whereas validation_generator supplies only one. You fixed this with train_gen_with_const - just extend it to val:
code :
def merge_generator(): # const_batch inside the function to apply to each image
    while True:
        next_image = train_generator.next()                      
        const_batch = np.broadcast_to(const_array, (len(next_image[0]), 5, 5, 3))
        yield [next_image[0], const_batch], next_image[1]

def val_merge_generator():  
    while True:
        next_image = validation_generator.next()
        const_batch = np.broadcast_to(const_array, (len(next_image[0]), 5, 5, 3))
        yield [next_image[0], const_batch], next_image[1]
How to: fit_generator in keras

How to: fit_generator in keras


By : Shaylash
Date : March 29 2020, 07:55 AM
will be helpful for those in need I am a little bit confused how to use fit_generator in keras. , Generator 2 is almost ok, but it should better return numpy arrays:
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