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Easyimages

Thin wrapper ontop of PIL to explore,visualize and share images

Install / Use

/learn @i008/Easyimages
About this skill

Quality Score

0/100

Supported Platforms

Universal

README

easyimages

Build Test Release

Info

This small but handy package solves several issues i had while working with images and image datasets - especially in the context of exploring datsets, inspecting and shareing the results. Keep in mind that his package is not directly related to the training process and loading image data, for that i found pytorch dataloading patterns to work very well.

Installation

pip install easyimages

Features

  • Simple API
  • Easy image exploration
  • Inteligent behaviour based on execution context (terminal, jupyter etc)
  • Lazy evaluation
  • Loading images from many different sources (filesystem, pytorch, numpy, web-urls, etc)
  • Storing annotations (tags, bounding boxes) allong the image in the same object
  • Visualizing labels (drawing boxes and drawing the label onto the image)
  • Visualizing images as Grids (ImagesLists)
  • Visualizing huge amounts of images at once (by leveraging fast html rendering)
  • Displaying images while working in jupyter notebook
  • Displaying images inline in console mode (iterm)

Credits

MAP calculation code comes from: https://github.com/MathGaron/mean_average_precision

Related Skills

View on GitHub
GitHub Stars16
CategoryDevelopment
Updated1y ago
Forks2

Languages

Jupyter Notebook

Security Score

80/100

Audited on Nov 14, 2024

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