Skip to main content

a dataset loader and converter for object detection segmentation and classification

Project description

polimòrfo Documentation Status Updates

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



  • [X] Coco dataset

  • [X] download coco datasets for train and val

  • [X] add annotations loader and converter

  • [X] add the ability to create dataet from scratch

  • [ ] add voc dataset format

  • [ ]


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


0.2.0 (2020-02-18)

  • Add support to process coco dataset

0.2.1 (2020-02-28)

  • add support to download files and archives from the web and google drive

0.3.0 (2020-10-04)

  • addedd support for removing categories and other utilities

0.4.0 (2020-10-05)

  • addedd support to create a dataset from scratch

0.5.0 (2020-10-06)

  • added support to visualize images and annotations

  • make image removing optional during annotations and categories deletion

0.6.0 (2020-10-12)

  • added copy dataset

  • added split dataset

0.6.1 (2020-10-12)

  • fixed a bug in colors generation for show images

0.6.2 (2020-10-12)

  • update signature for function def update_images_path(self, func):

0.7.0 (2020-10-19)

  • add method to dump dataset in format segmentation map

0.8.0 (2020-10-23)

  • fixed bug in maskutils.mask_to_polygons

  • add class to transform the predictions from instance and semantic segmentation in coco format

  • fixed bug in add_image, add_annotation, add_category

  • make load_image and load_images load random images sampled from the dataset

0.8.1 (2020-10-23)

  • fixed bug for tqdm when removing a category and its annotations from the dataset

0.8.2 (2020-10-23)

  • removed the prefix jpg when saving masks

  • update draw instance to draw only bounding boxes

0.8.3 (2020-10-24)

  • fixed bug in enum for draw instances

0.8.4 (2020-10-24)

  • add show bounding boxes

0.8.5 (2020-10-24)

  • changed representation for masks from [width, height, labels] to [labels, width, height]

0.8.6 (2020-10-24)

  • added method to crop images

  • added method to move annotations with respect a bounding box

0.8.7 (2020-10-24)

  • support fully creation o a new dataset

0.8.8-11 (2020-10-26)

  • fixed vairous bugs

0.8.12 (2020-10-26)

  • fixed bug when the size of the segments is equal to 4

0.8.13 (2020-10-26)

  • fixed bug in json dump to serialize numpy array

0.8.14 (2020-10-26)

  • fixed bug in json dump to serialize numpy types

0.9.1 (2020-10-28)

  • fixed various bugs

  • add index for speedup lookup operations

0.9.2 (2020-10-28)

  • add new feature to compute mean average precision and recall per class and global

0.9.3 (2020-10-28)

  • add computation of mean average precision and mean average recall per image

0.9.4 (2020-10-28)

  • fixed bug in score computation


  • fixed bug in mask generation

  • feature that allows us to add a single mask per component when saving segmentation results


  • add min confidence when displaying prediction from a segmentation mask model

  • now semantic coco accepts only logits to create annotations


  • add new method to remap category idxs


  • add new feature to save images and masks to a folder and filter out images and mask with less than k annotations


  • the method get_segmentation_mask return also the avg score of the image annotations

  • the method save_mask_images save also a weight files with the avg score for the image

Project details

Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

polimorfo-0.10.35.tar.gz (1.8 MB view hashes)

Uploaded Source

Built Distribution

polimorfo-0.10.35-py2.py3-none-any.whl (25.9 kB view hashes)

Uploaded Python 2 Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page