polimorfo 0.2.1

a dataset loader and converter for object detection segmentation and classification

polimòrfo

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:

• COCO: Common Objects in Context
• Pascal VOC: Visual Object Classes Challenge
• Google Open Images: Object Detection and Segmentation dataset released by Google

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

• Free software: Apache Software License 2.0
• Documentation: https://polimorfo.readthedocs.io.

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