Metadata-Version: 2.1
Name: brevettiai
Version: 0.2.2
Summary: Brevetti AI library
Home-page: https://bitbucket.org/criterionai/core.git
License: Apache-2.0
Author: Emil Tyge
Author-email: emil@brevetti.ai
Requires-Python: >=3.7,<3.11
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Provides-Extra: cv2
Provides-Extra: cv2-headless
Provides-Extra: tf
Provides-Extra: tfa
Requires-Dist: altair (==4.1.0)
Requires-Dist: backoff (>=1.10)
Requires-Dist: configparser (>=5.0)
Requires-Dist: cryptography (>=36.0.1,<37.0.0)
Requires-Dist: minio (>=7.0,<7.1)
Requires-Dist: mmh3 (>=3.0)
Requires-Dist: numpy (>=1.18.1)
Requires-Dist: opencv-python (>=4.1); extra == "cv2"
Requires-Dist: opencv-python-headless (>=4.1); extra == "cv2-headless"
Requires-Dist: pandas (>=1.1,<1.2)
Requires-Dist: plotly (>=4.14.3)
Requires-Dist: pydantic (>=1.8.2)
Requires-Dist: requests (>=2.23)
Requires-Dist: scikit-learn (>=0.23.1)
Requires-Dist: shapely (>=1.7.0)
Requires-Dist: tensorflow (>=2.7,<2.8); extra == "tf"
Requires-Dist: tensorflow_addons (>=0.15.0); extra == "tfa"
Requires-Dist: tf2onnx (>=1.9.0)
Requires-Dist: tqdm (>=4.62)
Project-URL: Documentation, https://docs.brevetti.ai/
Project-URL: Repository, https://bitbucket.org/criterionai/core.git
Description-Content-Type: text/markdown

# Brevetti AI core library
The brevettiai library enables integration with the brevetti.ai platform for development of training packages

The library is used as a API through the Job class with a number of utility functions for easy development of models.
The tools supports both local development on linux and windows as well as hosted training on e.g. Amazon Web Services sagemaker platform.

## Contents

* **brevettiai** Python package containing API and utility functions
* **sample_model** Skeleton structure to build a package including definition and loading of model settings, simple dataset loading and job completion triggering.

Developer documentation can be found at [docs.brevetti.ai](https://docs.brevetti.ai/)

