Metadata-Version: 2.1
Name: chitra
Version: 0.0.10
Summary: Library for creating data input pipeline in pure Tensorflow 2.x
Home-page: https://github.com/aniketmaurya/chitra
Author: Aniket Maurya
Author-email: theaniketmaurya@gmail.com
License: Apache Software License 2.0
Keywords: Tensorflow,Input Pipeline,Deep Learning,Image processing
Platform: UNKNOWN
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Requires-Python: >=3.6
Description-Content-Type: text/markdown
Requires-Dist: tensorflow (>=2.0)
Requires-Dist: matplotlib

# Chitra
> Library for creating data input pipeline in Tensorflow


## Install

`pip install chitra`

## How to use

<!-- Fill me in please! Don't forget code examples: -->
## Loading data for image classification

```
import tensorflow as tf
import chitra
from chitra.dataloader import Clf, show_batch

path = '/Users/aniketmaurya/Pictures/cats'

clf_dl = Clf()
data = clf_dl.from_folder(path, target_shape=(224, 224))

clf_dl.show_batch(6, figsize=(6,6))
```

    CLASSES ENCODED: {'blackcat': 0, 'whitecat': 1}



![png](docs/images/output_4_1.png)



