https://github.com/fuzailpalnak/fragment

Divide the Image in to Multiple fragments
https://github.com/fuzailpalnak/fragment

image-operations numpy python

Last synced: 5 months ago
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Divide the Image in to Multiple fragments

• Host: GitHub
• URL: https://github.com/fuzailpalnak/fragment
• Owner: fuzailpalnak
• License: mit
• Created: 2020-08-31T03:17:15.000Z (almost 6 years ago)
• Default Branch: master
• Last Pushed: 2023-05-31T10:32:40.000Z (about 3 years ago)
• Last Synced: 2025-09-28T06:00:06.518Z (9 months ago)
• Topics: image-operations, numpy, python
• Language: Python
• Homepage:
• Size: 25.4 KB
• Stars: 2
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • Changelog: CHANGES.txt
  • Funding: .github/FUNDING.yml
  • License: LICENSE

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README

          
# 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)

![Downloads](https://pepy.tech/badge/image-fragment)

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