Metadata-Version: 1.2
Name: polimorfo
Version: 0.10.28
Summary: a dataset loader and converter for object detection segmentation and classification
Home-page: https://github.com/fabiofumarola/polimorfo
Author: Fabio Fumarola
Author-email: fabiofumarola@gmail.com
License: Apache Software License 2.0
Description: =========
        polimòrfo
        =========
        
        
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                :target: https://polimorfo.readthedocs.io/en/latest/?badge=latest
                :alt: Documentation Status
        
        
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             :alt: 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:
        
        .. _COCO: http://cocodataset.org/#format-data
        .. _`Pascal VOC`: http://host.robots.ox.ac.uk/pascal/VOC/
        .. _`Google Open Images`: https://storage.googleapis.com/openimages/web/download.html
        
        - 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
        - [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
        - [ ]
        
        
        Credits
        -------
        
        This package was created with Cookiecutter_ and the `audreyr/cookiecutter-pypackage`_ project template.
        
        .. _Cookiecutter: https://github.com/audreyr/cookiecutter
        .. _`audreyr/cookiecutter-pypackage`: https://github.com/audreyr/cookiecutter-pypackage
        
        
        =======
        History
        =======
        
        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
        
        0.9.36
        -------------------
        
        * fixed bug in mask generation
        * feature that allows us to add a single mask per component when saving segmentation results
        
        
        0.9.38
        -----------------
        
        * add min confidence when displaying prediction from a segmentation mask model
        * now semantic coco accepts only logits to create annotations
        
        
        0.9.39
        ------------
        
        * add new method to remap category idxs
        
        
        0.9.48
        ------------
        
        * add new feature to save images and masks to a folder and filter out images and mask with less than k annotations
        
        
        0.9.52
        -----------
        
        * 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
Keywords: polimorfo
Platform: UNKNOWN
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Requires-Python: >=3.6
