A Python library for different image processing tasks.
Project description
ipynta is a Python library designed for rapid development of image pre-processing pipelines.
Installation
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.
Extractor Classes
Extractor classes are used for extracting the contents of a compressed files like zip, tar, rar and etc.
Sourcing Classes
Sourcing classes are used for retrieving image dataset metadata from different sources (local drive, zip files, etc.):
Loader Classes
Loader classes are used for instantiating / constructing / loading images from different sources.
Predicate Classes
Predicate classes are used for filtering unwanted data from image datasets.
Transform Classes
Transform classes are used for applying transformations to image datasets
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.
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