Skip to main content

Package for a simple paragraph recognition based on the morphology operator

Project description

simpar

this is package for a simple paragraph recognition based on the morphology operator

Screen

Image MASK Image Image recognized
Image Mask Image recognized

How to Install

pip install simpar

How to use

import simpar


 simpar_instance = Simpar("./img/simple_a20.jpg")
 simpar_instance.start()
 simpar_instance.save_image("./img/reco")

Next

next

Francais

Nous faisons une reconnaissance de paragraphe basée sur une les opération morphologiques qui est une méthode analytique qui est instable lorsque la structure de l'image est complexe dans la suite de notre travail nous allons a partir des images et leurs masque entraîner une modelé d'intelligence artificielle pour générer les masques de reconnaissance de paragraphe d'image, Ainsi Nous allons mieux gérer la structure des images complexes

English

We use a morphological operation for paragraph recognition. This analytical method becomes unstable with complex image structures. To handle complex structures, we'll use masks to model artificial intelligence for image paragraph recognition.

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

simparx-0.1.4.tar.gz (4.3 kB view details)

Uploaded Source

Built Distribution

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

simparx-0.1.4-py3-none-any.whl (4.8 kB view details)

Uploaded Python 3

File details

Details for the file simparx-0.1.4.tar.gz.

File metadata

  • Download URL: simparx-0.1.4.tar.gz
  • Upload date:
  • Size: 4.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.8.3 CPython/3.10.12 Linux/6.5.0-35-generic

File hashes

Hashes for simparx-0.1.4.tar.gz
Algorithm Hash digest
SHA256 6124769fced900b8c2b3910e405a68fd21b84543bc9a52050fbcd4d8484a862e
MD5 0ac1165a1c45971c6287d31bde45b440
BLAKE2b-256 b14de3c5b405b0d98882898c7027d9b480de98d5c6102b03badd46e534a5dc29

See more details on using hashes here.

File details

Details for the file simparx-0.1.4-py3-none-any.whl.

File metadata

  • Download URL: simparx-0.1.4-py3-none-any.whl
  • Upload date:
  • Size: 4.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.8.3 CPython/3.10.12 Linux/6.5.0-35-generic

File hashes

Hashes for simparx-0.1.4-py3-none-any.whl
Algorithm Hash digest
SHA256 17a4a34e3d34a931aeeb387af1e2f4122a54f9ed2f5b3db6706bc2b834ee00b0
MD5 9c470d1e3ee1dec3a644703cbad0eefe
BLAKE2b-256 a89f7c4f1a082693040a771e5d3dac5f2d7d7d8c132f598b1d8b5666b2ae6b73

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