Metadata-Version: 2.1
Name: fastaibreadcrumbs
Version: 0.0.2
Summary: Breadcrumbs for fastai users.
Home-page: https://github.com/sapal6/fastaibreadcrumbs/
Author: Satyabrata pal
Author-email: Satyabrata.pal1@gmail.com
License: Apache Software License 2.0
Keywords: machine-learning,nbdev,fastai
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: License :: OSI Approved :: Apache Software License
Requires-Python: >=3.9
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: fastai
Requires-Dist: opencv-python
Requires-Dist: torchvision
Requires-Dist: fastkaggle
Provides-Extra: dev

Fastaibreadcrumbs
================

<!-- WARNING: THIS FILE WAS AUTOGENERATED! DO NOT EDIT! -->

## Install

`pip install fastaibreadcrumbs`

## How to use

Just import “fastaibreadcrumbs” and get started.

Some tiny convience functions are available which are handy while
working on projects based on
[fastkaggle](https://fastai.github.io/fastkaggle/) and/or
[fastai](https://docs.fast.ai/).

A couple of examples are
[setup_data](https://sapal6.github.io/fastaibreadcrumbs/core#setup_data)
to setup kaggle data on your local machine and
[Crappifier](https://sapal6.github.io/fastaibreadcrumbs/core#Crappifier)
to create crappified version of image data. Explore the
“fastaibreadcrumbs.core” page for more functions.


