Skip to main content

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.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

ipynta-0.0.21.tar.gz (3.6 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

ipynta-0.0.21-py3-none-any.whl (5.1 kB view details)

Uploaded Python 3

File details

Details for the file ipynta-0.0.21.tar.gz.

File metadata

  • Download URL: ipynta-0.0.21.tar.gz
  • Upload date:
  • Size: 3.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.10.0

File hashes

Hashes for ipynta-0.0.21.tar.gz
Algorithm Hash digest
SHA256 8c3737c99af1f27ea648b19109090e96599703526537f7b82579ac5c6875117c
MD5 45ee36b21f118a4340dab71cdbb4b05e
BLAKE2b-256 24f64c8a556ab276458e75c64957a5ce7045d66e1cbb4131316c2cecc90d7d41

See more details on using hashes here.

File details

Details for the file ipynta-0.0.21-py3-none-any.whl.

File metadata

  • Download URL: ipynta-0.0.21-py3-none-any.whl
  • Upload date:
  • Size: 5.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.10.0

File hashes

Hashes for ipynta-0.0.21-py3-none-any.whl
Algorithm Hash digest
SHA256 00fbdb6ad6967cb3ac6f602a618c526d0febd4160b8aa82ecfda0b9dbaa86b76
MD5 205fd86a531f94216f65da872ddf5357
BLAKE2b-256 c12023ec6d20fe9dbeba11590b5b3b518eadbbefbb0cccf8292f0727402a465d

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page