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FSRCNN Super Resolution Network implemented in Keras
I get the following error when trying to train the model:
I use Python 3.6 and Keras 2.3. and Tensorflow 1.9.0
Kindly let know your training configuration
model.fit_generator(image_gen(train_list, scale=INPUT_SCALE), steps_per_epoch=len(train_list) // BATCH_SIZE + 1, validation_data=image_gen(test_list, scale=INPUT_SCALE), validation_steps=len(train_list) // BATCH_SIZE + 1, epochs=EPOCHS, workers=8, callbacks=callbacks_list)
File "C:\Users\rajaramans2\AppData\Local\Continuum\anaconda3\lib\site-packages\keras\legacy\interfaces.py", line 91, in wrapper
return func(*args, **kwargs)
File "C:\Users\rajaramans2\AppData\Local\Continuum\anaconda3\lib\site-packages\keras\engine\training.py", line 1418, in fit_generator
initial_epoch=initial_epoch)
File "C:\Users\rajaramans2\AppData\Local\Continuum\anaconda3\lib\site-packages\keras\engine\training_generator.py", line 40, in fit_generator
model._make_train_function()
File "C:\Users\rajaramans2\AppData\Local\Continuum\anaconda3\lib\site-packages\keras\engine\training.py", line 519, in _make_train_function
**self._function_kwargs)
File "C:\Users\rajaramans2\AppData\Local\Continuum\anaconda3\lib\site-packages\keras\backend\tensorflow_backend.py", line 2744, in function
return Function(inputs, outputs, updates=updates, **kwargs)
File "C:\Users\rajaramans2\AppData\Local\Continuum\anaconda3\lib\site-packages\keras\backend\tensorflow_backend.py", line 2575, in init
'time: %s', session_kwargs.keys())
ValueError: ('Some keys in session_kwargs are not supported at this time: %s', dict_keys(['lr']))
To download the required data for training/testing, please refer to the
README.md
atdata
directory.
I'm not seeing a README.md
in the data directory.
How can I download the HDR images for training? How many and what are the dimensions - in case I need to download some myself, I'd like to know the details of what needs to be done.
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