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Merge pull request #2 from devrimcavusoglu/doc-revision
Doc refactoring.
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README.md

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# PyBboxes
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Python Toolkit for Bounding Boxes providing conversion between bounding box types. Supported bounding box types:
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<h1 align="center">PyBboxes</h1>
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<p align="center">
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<a href="https://pypi.org/project/pybboxes"><img src="https://img.shields.io/pypi/v/pybboxes" alt="Python versions"></a>
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<br>
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<a href="https://pypi.org/project/pybboxes"><img src="https://img.shields.io/pypi/pyversions/pybboxes" alt="Python versions"></a>
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<a href="https://github.com/devrimcavusoglu/pybboxes/actions/workflows/ci.yml"><img src="https://img.shields.io/github/workflow/status/devrimcavusoglu/pybboxes/Tests" alt="DOI"></a>
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<a href="https://github.com/devrimcavusoglu/pybboxes/blob/main/LICENSE"><img src="https://img.shields.io/github/license/devrimcavusoglu/pybboxes" alt="Python versions"></a>
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</p>
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Light weight toolkit for bounding boxes providing conversion between bounding box types and simple computations. Supported bounding box types:
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- **albumentations** : [Albumentations Format](https://albumentations.ai/docs/getting_started/bounding_boxes_augmentation/#albumentations)
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- **coco** : [COCO (Common Objects in Context)](http://cocodataset.org/)

pybboxes/__init__.py

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from pybboxes.area import *
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from pybboxes.convert import convert_bbox
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__version__ = "0.0.1"
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__version__ = "0.0.2"

setup.py

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version=get_version(),
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author="Devrim Cavusoglu",
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license="MIT",
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description="Evaluation toolkit for neural language generation.",
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description="Light Weight Toolkit for Bounding Boxes",
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long_description=get_long_description(),
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long_description_content_type="text/markdown",
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url="https://github.com/devrimcavusoglu/pybboxes",

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