The project contains utilities for image assessment development with Keras/Tensorflow, including utilities for model training, custom generators, image management and augmentation. This is an extension of kutils.
Some of the key components of each file:
model_helper.py:
ModelHelper: Wrapper class that simplifies default usage of Keras for regression models.
generators.py:
DataGeneratorDisk,DataGeneratorHDF5: Keras generators for on-disk images, and HDF5 stored features/images
image_utils.py:
- various utility functions for manipulating images (read, write to HDF5, batch resize, view batch)
image_augmenter.py:
ImageAugmenter: Create custom image augmentation functions for training Keras models.
generic.py:
H5Helper: Manage named data sets in HDF5 files, for us in Keras generators.ShortNameBuilder: Utility for building short (file) names that contain multiple parameters.
applications.py:
model_inception_multigap,model_inceptionresnet_multigap: Model definitions for extracting MLSP narrow featuresmodel_inception_pooled,model_inceptionresnet_pooled: Model definitions for extracting MLSP wide features
You can find more information in the docstrings.
