https://github.com/allanchua101/ipynta

Rapidly build image processing pipelines
https://github.com/allanchua101/ipynta

ai data-pipelines image image-processing python

Last synced: 6 months ago
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Rapidly build image processing pipelines

• Host: GitHub
• URL: https://github.com/allanchua101/ipynta
• Owner: allanchua101
• License: mit
• Created: 2021-10-13T11:21:13.000Z (over 4 years ago)
• Default Branch: main
• Last Pushed: 2022-10-30T02:52:07.000Z (over 3 years ago)
• Last Synced: 2024-08-11T08:51:41.427Z (almost 2 years ago)
• Topics: ai, data-pipelines, image, image-processing, python
• Language: Python
• Homepage:
• Size: 437 KB
• Stars: 2
• Watchers: 3
• Forks: 1
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
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  ipynta is a Python library designed for rapid development of image pre-processing pipelines.



#### Installation

```sh

pip install ipynta

```

#### High level overview



  





  The diagram above describes the purpose of each iPynta class family and how can they be used collectively in an image pre-processing pipeline.



#### Core Class Families

- [Sourcing](https://github.com/allanchua101/ipynta/blob/main/docs/sourcing/Readme.md)

- [Predicates](https://github.com/allanchua101/ipynta/blob/main/docs/predicates/Readme.md)

- [Transformers](https://github.com/allanchua101/ipynta/blob/main/docs/transform/Readme.md)

- [Persistence](https://github.com/allanchua101/ipynta/blob/main/docs/persistence/Readme.md)

#### Utility Class Families

- [Loaders](https://github.com/allanchua101/ipynta/blob/main/docs/loaders/Readme.md)

- [Packaging](https://github.com/allanchua101/ipynta/blob/main/docs/packaging/Readme.md)

#### Why was it named ipynta?

`I-pinta` means _"to paint"_ in tagalog! This library is proudly developed by a Singapore-based Filipino lad with nothing better to do during evenings.