A Python library for different image processing tasks.
Project description
ipynta is a Python library designed for rapid development of image pre-processing pipelines.
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.
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.
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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