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README.md

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[![build status](https://github.com/imglib/imglyb/actions/workflows/build.yml/badge.svg)](https://github.com/imglib/imglyb/actions/workflows/build.yml)
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# imglyb
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[![License](https://img.shields.io/pypi/l/imglyb.svg)](https://github.com/imglib/imglyb/raw/main/LICENSE.txt)
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[![PyPI](https://img.shields.io/pypi/v/imglyb.svg)](https://pypi.org/project/imglyb)
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[![Python Version](https://img.shields.io/pypi/pyversions/imglyb.svg)](https://python.org)
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[![Build Status](https://github.com/imglib/imglyb/actions/workflows/build.yml/badge.svg)](https://github.com/imglib/imglyb/actions/workflows/build.yml)
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`imglyb` aims at connecting two worlds that have been seperated for too long:
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* Python with [numpy](https://github.com/numpy/numpy)
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* Java with [ImgLib2](https://github.com/imglib/imglib2)
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`imglyb` uses [jpype](http://jpype.org) to access `numpy` arrays and expose
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`imglyb` uses [jpype](https://jpype.org) to access `numpy` arrays and expose
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them to `ImgLib2` through
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[`imglib2-imglyb`](https://github.com/imglib/imglib2-imglyb).
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This means **shared memory** between `numpy` and `ImgLib2`, i.e. any `ImgLib2`

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