Metadata-Version: 2.1
Name: gh-tools-gradient
Version: 0.0.3
Summary: Gradient Health training tools
Home-page: https://github.com/gradienthealth/gh-tools
Author: Ouwen Huang
Author-email: ouwen.huang@duke.edu
License: UNKNOWN
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
Requires-Dist: parse (>=1.19.0)
Requires-Dist: ipython
Requires-Dist: awscli (>=1.18.223)
Requires-Dist: tensorflow (>=2.4.1)
Requires-Dist: tfa-nightly

# Gradient Health Tools

Tools to be used primarily in colab training environment and using wasabi storage for logging/data.
Also includes tools for common dicom preprocessing steps.

# Callbacks

### gh_tools.callbacks.keras_storage
Used for syncing models/logs into s3 file system

### gh_tools.callbacks.log_code
Used to snapshot notebooks into s3 file system

# Utils

### gh_tools.utils.image
Used for various 2D image transforms see (projection matrix)[https://en.wikipedia.org/wiki/Transformation_matrix]

### gh_tools.utils.colab
Used for checking and saving notebooks in colab programmatically

### gh_tools.utils.version_service
Bundles callbacks related to versioning and logging.

# Contributing and Issues
Contributions are welcome in the form of pull requests.
For issues, please provide a minimal example of code which results in an error.

## Software License
Copyright 2020 Ouwen Huang, Gradient Health Inc.


