- main.py: train a network using training and validation datasets.
- test.py: test a pre-trained network using a testing dataset.
- data.py: functions for retrieving images and ground truth data.
- models.py: definition of neural architectures.
- mdn.py: Mixture Density Networks (MDN). Not used anymore.
- processor.py: functions for pre-processing image information.
- exp_statistics.py: computation of mean absolute error and error variance.
- plotting_functions/*.py: functions for plotting (obviously).
- clean.py
kirkscheper/deep_dvs
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