rpycocotools 0.0.4

Package providing utilities to load, manipulate, convert and visualize COCO format datasets.

rpycocotools

The rpycocotools package provides tools to load, manipulate, convert and visualize COCO format datasets.

Installation

You can install the package through pip:

pip install rpycocotools

You can also build and install it into a virtualenv with pip install . (do not use maturin develop, the imports will not work).

Usage example

Visualize image with a given id:

import rpycocotools
coco_dataset = rpycocotools.COCO("../data_samples/coco_25k/annotations.json", "../data_samples/coco_25k/images")
coco_dataset.visualize_img(174482)

import rpycocotools
coco_dataset = rpycocotools.COCO("../data_samples/coco_25k/annotations.json", "../data_samples/coco_25k/images")
anns = coco_dataset.get_img_anns(174482)
mask = rpycocotools.mask.decode_poly_rs(anns[0].segmentation)

The mask is a numpy array and can be visualized (for example with opencv):

TODO list:

• Make it possible to get the dataset as a json (in order to be able to save/print it).
• Make it possible to get the visualization image as a numpy array.