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a dataset loader and converter for object detection segmentation and classification

Project description

polimòrfo

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Polimòrfo (πολύμορϕος, comp. di πολυ- «poli-» e μορϕή «forma») is a dataset loader and converter library for object detection segmentation and classification. The goal of the project is to create a library able to process dataset in format:

and transform these dataset into a common format (COCO).

Moreover, the library offers utilies to handle (load, convert, store and transform) the various type of annotations. This is important when you need to: - convert mask to polygons - store mask in a efficient format - convert mask/poygons into bounding boxes

Features

TODO

  • [X] Coco dataset
  • [ ] download coco datasets for train and val
  • [ ] add annotations loader and converter
  • [ ] add voc dataset format
  • [ ]

Credits

This package was created with Cookiecutter and the audreyr/cookiecutter-pypackage project template.

History

0.2.0 (2020-02-18)

  • Add support to process coco dataset
  • add support to download files and archives from the web and google drive

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