Metadata-Version: 2.1
Name: decavision
Version: 1.2.1
Summary: A package to easily train powerful image classification models using colab's free TPUs.
Home-page: https://github.com/Decathlon/decavision.git
Author: Décathlon Canada
Author-email: sportvisionapi@decathlon.com
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: augmentor (==0.2.8)
Requires-Dist: dill (==0.3.2)
Requires-Dist: efficientnet (==1.1.1)
Requires-Dist: google-cloud-storage (==1.31.2)
Requires-Dist: matplotlib (==3.3.2)
Requires-Dist: numpy (==1.19.2)
Requires-Dist: pandas (==1.1.3)
Requires-Dist: patool (==1.12)
Requires-Dist: pillow (==8.2.0)
Requires-Dist: pyunpack (==0.2.2)
Requires-Dist: scikit-learn (==0.23.2)
Requires-Dist: scikit-optimize (==0.8.1)
Requires-Dist: seaborn (==0.11.0)
Requires-Dist: tensorflow (>=2.5.0)
Requires-Dist: tqdm (==4.60.0)

The AI team at Décathlon Canada developed a library to help with the training of image 
classification models. It is specially made to exploit the free TPUs that are offered
in Google colab notebooks. You can find the full documentation 
[here](https://decavision-doc.herokuapp.com/)

## Version 1.2.1
Change to Tensorflow 2.5

## Version 1.2.0
Add semi-supervised learning features

## Version 1.1.3
Link to public repository

## Version 1.1.2
Change name of package

## Version 1.1.1
Fix typo in split_train

## Version 1.1.0
Remove google scraping

## Version 1.0.0
Original release

