a dataset loader and converter for object detection segmentation and classification
Project description
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
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