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 datasets from different sources (local drive, zip files, etc.):

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-0.0.19.tar.gz (3.0 kB view details)

Uploaded Source

Built Distribution

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

ipynta-0.0.19-py3-none-any.whl (4.0 kB view details)

Uploaded Python 3

File details

Details for the file ipynta-0.0.19.tar.gz.

File metadata

  • Download URL: ipynta-0.0.19.tar.gz
  • Upload date:
  • Size: 3.0 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-0.0.19.tar.gz
Algorithm Hash digest
SHA256 7ca01dbe0bfe39184c568dd6343ee1f571e8b00ebf771435db73f278856af726
MD5 fca972e1dba232ca480b569b8124dc84
BLAKE2b-256 a36cbe648086fea5ce60db411c11a2a2953726a4fefee0b28bbb65d1e3b791f2

See more details on using hashes here.

File details

Details for the file ipynta-0.0.19-py3-none-any.whl.

File metadata

  • Download URL: ipynta-0.0.19-py3-none-any.whl
  • Upload date:
  • Size: 4.0 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-0.0.19-py3-none-any.whl
Algorithm Hash digest
SHA256 ab5707d7fe14c86f906411c44682747c1565489f8053ba772385d72e7f05507e
MD5 2198edc13a8c18ee108765b69c04c7fe
BLAKE2b-256 64352d9149d56a7c269a56f7b255a874a7ca96bf4cbfd12c17beb33e882201eb

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