Inicio Explorar Ayuda
Iniciar sesión
Prise3D
/
ipfml
2
0
Fork 0
Archivos Incidencias 0 Pull Requests 0 Wiki

Image Processing For Machine Learning python Package https://pypi.org/project/IPFML/

Árbol: 656c4714be
Ramas Etiquetas
ipfml
ZIP TAR.GZ
Jérôme BUISINE 656c4714be Update of new repo for prise-3d organization hace 5 años
docs 76b254f539 Add of epsilon value to normalization hace 5 años
images 420f833455 Add of metrics tests hace 6 años
ipfml 76b254f539 Add of epsilon value to normalization hace 5 años
.gitignore 862b897a33 Update of documentation and noise filters hace 6 años
CONTRIBUTING.md 656c4714be Update of new repo for prise-3d organization hace 5 años
LICENSE 656c4714be Update of new repo for prise-3d organization hace 5 años
MANIFEST.in 420f833455 Add of metrics tests hace 6 años
README.md 656c4714be Update of new repo for prise-3d organization hace 5 años
README.rst 2020d7397e Add of area under curves computations hace 5 años
build.sh 5c2f7b85c3 Bash build script updated hace 5 años
ipfml_logo.png 3b54d584be Add of some examples in documentation hace 6 años
requirements.txt bc24c7549d Setup updates hace 6 años
setup.py 76b254f539 Add of epsilon value to normalization hace 5 años

README.md

Image Processing For Machine Learning

Installation

pip install ipfml

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 module
  • metrics : Metrics computation of PIL or 2D numpy image
  • filters : Image filter module
  • utils : All utils functions developed for the package
  • exceptions : All customized exceptions

All these modules will be enhanced during development of the package. Documentation is available here.

How to contribute

Please refer to the guidelines file if you want to contribute!

Contributors

Licence

MIT