Metadata-Version: 2.1
Name: image_fragment
Version: 0.2.2
Summary: Data Section
Home-page: https://github.com/fuzailpalnak/fragment
Author: Fuzail Palnak
Author-email: fuzailpalnak@gmail.com
License: UNKNOWN
Description: # Fragment
        ![GitHub](https://img.shields.io/github/license/fuzailpalnak/fragment)
        ![Python](https://img.shields.io/badge/python-v3.6+-blue.svg)
        ![Contributions welcome](https://img.shields.io/badge/contributions-welcome-orange.svg)
        
        Any extent is a set of smaller fragment extent , which can be as small as *1 x 1* to the *size* of the extent given.
        This library will section the given extent in to specified smaller fragment extent
        
        
        ## Installation
        
            pip install image-fragment
        
        
        ## Image Fragments
        
        ![fragments](https://user-images.githubusercontent.com/24665570/91711219-2b7c8980-eba3-11ea-94d2-8239cf6713c4.gif)
        
        An image extent can be sectioned into many fragments, these fragments holds positional information to where it is located 
        to the original extent
        
        Now this information can be used to extract selected fragments from the Image, perform operation, and transfer the new 
        data to selected position.
        
        
        ```python
        import numpy as np
        from image_fragment.fragment import ImageFragment
        
        image = np.zeros((1, 1024, 1024, 3))
        new_image = np.zeros((1, 1024, 1024, 3))
        image_fragment = ImageFragment.image_fragment_4d(fragment_size=(1, 512, 512, 3), org_size=(1, 1024, 1024, 3))
        for fragment in image_fragment:
            # GET DATA THAT BELONGS TO THE FRAGMENT
            fragmented_image = fragment.get_fragment_data(image)
            
            # DO SOME OPERATION ON THE FRAGMENTED DATA
            operation_done_on_fragmented_data = np.rot(fragmented_image)
            
            # TRANSFER OPERATED IMAGE ON NEW IMAGE ON THE FRAGMENT POSITION
            new_image = fragment.transfer_fragment(transfer_from=operation_done_on_fragmented_data, transfer_to=new_image)
            
        ```
        
        If image is 3 Dimensional then switch to `image_fragment = ImageFragment.image_fragment_3d(fragment_size=(512, 512, 3), org_size=(1024, 1024, 3))`, 
        this will provide fragments for 3 dimensional image
        
Keywords: numpy, Window, Section, Array, Stitch, Split
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
