Metadata-Version: 2.1
Name: chitra
Version: 0.0.1
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
Description: # Chitra
        > Library for creating data input pipeline in pure Tensorflow 2.x
        
        
        .
        <!-- This file will become your README and also the index of your documentation. -->
        
        ## Install
        
        `pip install chitra`
        
        ## How to use
        
        <!-- Fill me in please! Don't forget code examples: -->
        ## Loading data for image classification
        
        ```python
        from chitra.dataloader import Clf
        
        path = '/Users/aniketmaurya/Pictures/cats'
        
        clf_dl = Clf()
        data = clf_dl.from_folder(path)
        
        print('class names:', clf_dl.CLASS_NAMES)
        
        for e in data.take(1):
            print('image shape:', e[0].shape)
            print('class:', e[1].numpy())
        ```
        
            class names: (b'whitecat', b'blackcat')
            image shape: (1, 160, 160, 3)
            class: b'whitecat'
        
        
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
