Skip to main content

Image Processing For Machine Learning

Project description

This is a package developed during a thesis project.

Installation

pip install ifpml

How to use ?

To use, simply do :

from PIL import Image
from ipfml import processing
img = Image.open('path/to/image.png')
s = processing.get_LAB_L_SVD_s(img)

Modules

This project contains modules.

  • processing : Image processing of images

  • metrics : Metrics computation of PIL or 2D, 3D numpy images

  • filters : Filters implemented such as noise filters

All these modules will be enhanced during development of the package.

Documentation

For more information about package, documentation is available.

Contribution

Please refer to the CONTRIBUTION.md file if you want to contribute!

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

ipfml-0.2.2.tar.gz (127.7 kB view details)

Uploaded Source

File details

Details for the file ipfml-0.2.2.tar.gz.

File metadata

  • Download URL: ipfml-0.2.2.tar.gz
  • Upload date:
  • Size: 127.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: Python-urllib/3.6

File hashes

Hashes for ipfml-0.2.2.tar.gz
Algorithm Hash digest
SHA256 3b13a1bc3e01e841ec55acdfc85e1eabc7651ac028f99749ea7c99b749e92a5e
MD5 e4810699cb9b1c39fdd12f935bc63774
BLAKE2b-256 efa3db5df492b473f07f5b3a12d8723caeb3b1fc7111da590315200627f9a87a

See more details on using hashes here.

Supported by

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