This is VGG16 AutoEncoder developed by Keras and Tensorflow backend.

Requirement

Under project directory:

data_source:

Put training data and testing data there(separated by sub-directory).
model_and_weight:

Basically, vgg16_weights_notop.h5 is necessary.

And generated models and weight will be stored there.
ModelTrainer.py:

Run this to train model.(trained through data_source\training and evaluate through data_source\testing)
AutoEncoderEfficiencyEvaluator.py

Run this to generate images after encoded and decoded.(data within data_source\testing)

The images would be stored in auto_encoder sub-directory.