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This is VGG16 AutoEncoder developed by Keras and Tensorflow backend.

Requirement

  • python3.6
  • keras
  • Tensorflow
  • cv2
  • h5

How to use

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.

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