Skip to main content

Gip is a library that aims to simplify the functionality of other existing libraries for image processing.

Project description

-graphic-image-processing

GIP (Graphic Image Processing) aims to facilitate both Pre-processing and graphic plot of images, using libraries already available in the literature. It will provide functions that have summarized multiple lines of code into just one, as well as making it easy for those looking to enter the world of image processing to get started.

GraficPlot

This module aims to simplify the plot of graphics in order to make it more intuitive and practical, plotting several images in user-defined axis, as well as plotting their histogram. It will also display several graphs of the same image and finally create line graphs of the learning metrics

ImageFilters

ImageFilters comes to facilitate the application of filters in an entire image dataset, being able to apply a filter to a certain color channel, also performing the division of an image base in test, train and validation, saving the images in folders so make life easier for the user.

CreateBox

This module offers the possibility of creating masks and plotting bounding boxes on this mask, passed through an xml and csv file, being also able to plot the boxes in an image.

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

GraficImageProcessig-0.0.3.tar.gz (7.2 kB view details)

Uploaded Source

Built Distribution

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

GraficImageProcessig-0.0.3-py3-none-any.whl (8.0 kB view details)

Uploaded Python 3

File details

Details for the file GraficImageProcessig-0.0.3.tar.gz.

File metadata

  • Download URL: GraficImageProcessig-0.0.3.tar.gz
  • Upload date:
  • Size: 7.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.6.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.61.2 CPython/3.9.5

File hashes

Hashes for GraficImageProcessig-0.0.3.tar.gz
Algorithm Hash digest
SHA256 cc6bd5816a720677fb7eb61b5582a35a43964308e726ff3f00b63dd2c67289ca
MD5 9de6755f138ab817a9ba1e8f7b818722
BLAKE2b-256 4825963c1fe4de59b548576789873762d18b2c23a610fd6a4f529a50510b99f6

See more details on using hashes here.

File details

Details for the file GraficImageProcessig-0.0.3-py3-none-any.whl.

File metadata

  • Download URL: GraficImageProcessig-0.0.3-py3-none-any.whl
  • Upload date:
  • Size: 8.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.6.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.61.2 CPython/3.9.5

File hashes

Hashes for GraficImageProcessig-0.0.3-py3-none-any.whl
Algorithm Hash digest
SHA256 2c72e2fe4e18a2f62efef389ef6b33bf4c08ff295fc5f985cee534761796eeb4
MD5 c136ebd283875f371c910a51a80006b1
BLAKE2b-256 c47a981514485c5c113f9efca5ffbec9c33d0ea5d041a91654d794d0c972c7f4

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