Implementation of HomographyNet in Keras

• Contains generate.py, a script for generating a suitable dataset for the HomographyNet model.
• A Jupyter notebook with general info about the structure of the generated dataset.

• Jupyter notebook with the training/test results
• Raw image files used
• Utility code used in the demo
• Training history in JSON format

A Python package containing the implementation of the HomographyNet model in Keras.

• homographynet_weights_tf_dim_ordering_tf_kernels.h5 - pretrained weights of the baseline HomographyNet model
• mobile_homographynet_weights_tf_dim_ordering_tf_kernels.h5 - pretrained weights of the MobileNet-based model

test.py - a script for evaluating a specified model, or the pretrained model. It will download and cache the weights of the pretrained model on first use.

train.py - a script for training the HomographyNet model