How to generate images?

[Yili-Zhang]

Hi,

I am new to neural network, so my question might be dumb.

After setting the correct environment and imported the correct library, I started to run the training.py file, but I constantly get a error:

ValueError: validation_steps=None is only valid for a generator based on the keras.utils.Sequence class. Please specify validation_steps or use the keras.utils.Sequence class.

And here is the whole output in the console:

Using TensorFlow backend. 2019-04-22 19:07:01.124992: I C:\tf_jenkins\workspace\rel-win\M\windows\PY\36\tensorflow\core\platform\cpu_feature_guard.cc:137] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX AVX2 ...New weight data... 4 Image Loading start... True 4 Image Loading finish... 5 Image Loading start... True 5 Image Loading finish... Traceback (most recent call last): File "C:/Users/A02295947/Documents/Pycharm Projects/CRNN-Keras-master/training.py", line 41, in validation_steps=int(tiger_val.n / val_batch_size)) File "C:\Users\A02295947\AppData\Local\Continuum\anaconda2\envs\tensorflow\lib\site-packages\keras\legacy\interfaces.py", line 91, in wrapper return func(*args, **kwargs) File "C:\Users\A02295947\AppData\Local\Continuum\anaconda2\envs\tensorflow\lib\site-packages\keras\engine\training.py", line 2053, in fit_generator raise ValueError('validation_steps=None is only valid for a' ValueError: validation_steps=None is only valid for a generator based on the keras.utils.Sequence class. Please specify validation_steps or use the keras.utils.Sequence class. Process finished with exit code 1

With mu friends' help, the conclusion was the training pictures are not enough. But I looked at your code, the "training.py" would ran the "Image_Generator.py" inside, so I guess the program would automatically generate images for the users? Otherwise what should I do to generate enough amount of images as I need?

In addition, what database did you use for massive actual Korean license plates?

Thanks,

-Yili

[pendex900x]

I have got same error, could you solve it?