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|
%global _empty_manifest_terminate_build 0
Name: python-webknossos
Version: 0.12.5
Release: 1
Summary: Python API for working with WEBKNOSSOS datasets, annotations, and for WEBKNOSSOS server interaction.
License: AGPL-3.0
URL: https://docs.webknossos.org/webknossos-py
Source0: https://mirrors.aliyun.com/pypi/web/packages/59/50/a20646236f3a67fb8d30300508a78b64019be0c042856980405cff91476d/webknossos-0.12.5.tar.gz
BuildArch: noarch
Requires: python3-aiohttp
Requires: python3-attrs
Requires: python3-boltons
Requires: python3-cattrs
Requires: python3-cluster_tools
Requires: python3-fsspec
Requires: python3-httpx
Requires: python3-loxun
Requires: python3-natsort
Requires: python3-networkx
Requires: python3-numcodecs
Requires: python3-numpy
Requires: python3-psutil
Requires: python3-dateutil
Requires: python3-dotenv
Requires: python3-rich
Requires: python3-scikit-image
Requires: python3-scipy
Requires: python3-typing-extensions
Requires: python3-universal-pathlib
Requires: python3-wkw
Requires: python3-zarr
Requires: python3-zipp
Requires: python3-imagecodecs
Requires: python3-JPype1
Requires: python3-pims
Requires: python3-tifffile
Requires: python3-pylibCZIrw
%description
# WEBKNOSSOS Python Library
[](https://pypi.python.org/pypi/webknossos)
[](https://pypi.python.org/pypi/webknossos)
[](https://github.com/scalableminds/webknossos-libs/actions?query=workflow%3A%22CI%22)
[](https://docs.webknossos.org/webknossos-py)
[](https://github.com/psf/black)
Python API for working with [WEBKNOSSOS](https://webknossos.org) datasets, annotations, and for WEBKNOSSOS server interaction.
For the WEBKNOSSOS server, please refer to https://github.com/scalableminds/webknossos.
## Features
- easy-to-use dataset API for reading/writing/editing raw 2D/3D image data and volume annotations/segmentation in WEBKNOSSOS wrap (*.wkw) format
- add/remove layers
- update metadata (`datasource-properties.json`)
- up/downsample layers
- compress layers
- add/remove magnifications
- execute any of the `wkCuber` operations from your code
- manipulation of WEBKNOSSOS skeleton annotations (*.nml) as Python objects
- access to nodes, comments, trees, bounding boxes, metadata, etc.
- create new skeleton annotation from Graph structures or Python objects
- interaction, connection & scripting with your WEBKNOSSOS instance over the REST API
- up- & downloading annotations and datasets
Please refer to [the documentation for further instructions](https://docs.webknossos.org/webknossos-py).
## Installation
The `webknossos` package requires at least Python 3.8.
You can install it from [pypi](https://pypi.org/project/webknossos/), e.g. via pip:
```bash
pip install webknossos
```
## Examples
See the [examples folder](examples) or the [the documentation](https://docs.webknossos.org/webknossos-py).
## Contributions & Development
Please see the [respective documentation page](https://docs.webknossos.org/webknossos-py/development.html).
## License
[AGPLv3](https://www.gnu.org/licenses/agpl-3.0.html)
Copyright [scalable minds](https://scalableminds.com)
## Test Data Credits
Excerpts for testing purposes have been sampled from:
* Dow Jacobo Hossain Siletti Hudspeth (2018). **Connectomics of the zebrafish's lateral-line neuromast reveals wiring and miswiring in a simple microcircuit.** eLife. [DOI:10.7554/eLife.33988](https://elifesciences.org/articles/33988)
* Zheng Lauritzen Perlman Robinson Nichols Milkie Torrens Price Fisher Sharifi Calle-Schuler Kmecova Ali Karsh Trautman Bogovic Hanslovsky Jefferis Kazhdan Khairy Saalfeld Fetter Bock (2018). **A Complete Electron Microscopy Volume of the Brain of Adult Drosophila melanogaster.** Cell. [DOI:10.1016/j.cell.2018.06.019](https://www.cell.com/cell/fulltext/S0092-8674(18)30787-6). License: [CC BY-NC 4.0](https://creativecommons.org/licenses/by-nc/4.0/)
* Bosch Ackels Pacureanu et al (2022). **Functional and multiscale 3D structural investigation of brain tissue through correlative in vivo physiology, synchrotron microtomography and volume electron microscopy.** Nature Communications. [DOI:10.1038/s41467-022-30199-6](https://www.nature.com/articles/s41467-022-30199-6)
%package -n python3-webknossos
Summary: Python API for working with WEBKNOSSOS datasets, annotations, and for WEBKNOSSOS server interaction.
Provides: python-webknossos
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-webknossos
# WEBKNOSSOS Python Library
[](https://pypi.python.org/pypi/webknossos)
[](https://pypi.python.org/pypi/webknossos)
[](https://github.com/scalableminds/webknossos-libs/actions?query=workflow%3A%22CI%22)
[](https://docs.webknossos.org/webknossos-py)
[](https://github.com/psf/black)
Python API for working with [WEBKNOSSOS](https://webknossos.org) datasets, annotations, and for WEBKNOSSOS server interaction.
For the WEBKNOSSOS server, please refer to https://github.com/scalableminds/webknossos.
## Features
- easy-to-use dataset API for reading/writing/editing raw 2D/3D image data and volume annotations/segmentation in WEBKNOSSOS wrap (*.wkw) format
- add/remove layers
- update metadata (`datasource-properties.json`)
- up/downsample layers
- compress layers
- add/remove magnifications
- execute any of the `wkCuber` operations from your code
- manipulation of WEBKNOSSOS skeleton annotations (*.nml) as Python objects
- access to nodes, comments, trees, bounding boxes, metadata, etc.
- create new skeleton annotation from Graph structures or Python objects
- interaction, connection & scripting with your WEBKNOSSOS instance over the REST API
- up- & downloading annotations and datasets
Please refer to [the documentation for further instructions](https://docs.webknossos.org/webknossos-py).
## Installation
The `webknossos` package requires at least Python 3.8.
You can install it from [pypi](https://pypi.org/project/webknossos/), e.g. via pip:
```bash
pip install webknossos
```
## Examples
See the [examples folder](examples) or the [the documentation](https://docs.webknossos.org/webknossos-py).
## Contributions & Development
Please see the [respective documentation page](https://docs.webknossos.org/webknossos-py/development.html).
## License
[AGPLv3](https://www.gnu.org/licenses/agpl-3.0.html)
Copyright [scalable minds](https://scalableminds.com)
## Test Data Credits
Excerpts for testing purposes have been sampled from:
* Dow Jacobo Hossain Siletti Hudspeth (2018). **Connectomics of the zebrafish's lateral-line neuromast reveals wiring and miswiring in a simple microcircuit.** eLife. [DOI:10.7554/eLife.33988](https://elifesciences.org/articles/33988)
* Zheng Lauritzen Perlman Robinson Nichols Milkie Torrens Price Fisher Sharifi Calle-Schuler Kmecova Ali Karsh Trautman Bogovic Hanslovsky Jefferis Kazhdan Khairy Saalfeld Fetter Bock (2018). **A Complete Electron Microscopy Volume of the Brain of Adult Drosophila melanogaster.** Cell. [DOI:10.1016/j.cell.2018.06.019](https://www.cell.com/cell/fulltext/S0092-8674(18)30787-6). License: [CC BY-NC 4.0](https://creativecommons.org/licenses/by-nc/4.0/)
* Bosch Ackels Pacureanu et al (2022). **Functional and multiscale 3D structural investigation of brain tissue through correlative in vivo physiology, synchrotron microtomography and volume electron microscopy.** Nature Communications. [DOI:10.1038/s41467-022-30199-6](https://www.nature.com/articles/s41467-022-30199-6)
%package help
Summary: Development documents and examples for webknossos
Provides: python3-webknossos-doc
%description help
# WEBKNOSSOS Python Library
[](https://pypi.python.org/pypi/webknossos)
[](https://pypi.python.org/pypi/webknossos)
[](https://github.com/scalableminds/webknossos-libs/actions?query=workflow%3A%22CI%22)
[](https://docs.webknossos.org/webknossos-py)
[](https://github.com/psf/black)
Python API for working with [WEBKNOSSOS](https://webknossos.org) datasets, annotations, and for WEBKNOSSOS server interaction.
For the WEBKNOSSOS server, please refer to https://github.com/scalableminds/webknossos.
## Features
- easy-to-use dataset API for reading/writing/editing raw 2D/3D image data and volume annotations/segmentation in WEBKNOSSOS wrap (*.wkw) format
- add/remove layers
- update metadata (`datasource-properties.json`)
- up/downsample layers
- compress layers
- add/remove magnifications
- execute any of the `wkCuber` operations from your code
- manipulation of WEBKNOSSOS skeleton annotations (*.nml) as Python objects
- access to nodes, comments, trees, bounding boxes, metadata, etc.
- create new skeleton annotation from Graph structures or Python objects
- interaction, connection & scripting with your WEBKNOSSOS instance over the REST API
- up- & downloading annotations and datasets
Please refer to [the documentation for further instructions](https://docs.webknossos.org/webknossos-py).
## Installation
The `webknossos` package requires at least Python 3.8.
You can install it from [pypi](https://pypi.org/project/webknossos/), e.g. via pip:
```bash
pip install webknossos
```
## Examples
See the [examples folder](examples) or the [the documentation](https://docs.webknossos.org/webknossos-py).
## Contributions & Development
Please see the [respective documentation page](https://docs.webknossos.org/webknossos-py/development.html).
## License
[AGPLv3](https://www.gnu.org/licenses/agpl-3.0.html)
Copyright [scalable minds](https://scalableminds.com)
## Test Data Credits
Excerpts for testing purposes have been sampled from:
* Dow Jacobo Hossain Siletti Hudspeth (2018). **Connectomics of the zebrafish's lateral-line neuromast reveals wiring and miswiring in a simple microcircuit.** eLife. [DOI:10.7554/eLife.33988](https://elifesciences.org/articles/33988)
* Zheng Lauritzen Perlman Robinson Nichols Milkie Torrens Price Fisher Sharifi Calle-Schuler Kmecova Ali Karsh Trautman Bogovic Hanslovsky Jefferis Kazhdan Khairy Saalfeld Fetter Bock (2018). **A Complete Electron Microscopy Volume of the Brain of Adult Drosophila melanogaster.** Cell. [DOI:10.1016/j.cell.2018.06.019](https://www.cell.com/cell/fulltext/S0092-8674(18)30787-6). License: [CC BY-NC 4.0](https://creativecommons.org/licenses/by-nc/4.0/)
* Bosch Ackels Pacureanu et al (2022). **Functional and multiscale 3D structural investigation of brain tissue through correlative in vivo physiology, synchrotron microtomography and volume electron microscopy.** Nature Communications. [DOI:10.1038/s41467-022-30199-6](https://www.nature.com/articles/s41467-022-30199-6)
%prep
%autosetup -n webknossos-0.12.5
%build
%py3_build
%install
%py3_install
install -d -m755 %{buildroot}/%{_pkgdocdir}
if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi
if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi
if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi
if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi
pushd %{buildroot}
if [ -d usr/lib ]; then
find usr/lib -type f -printf "\"/%h/%f\"\n" >> filelist.lst
fi
if [ -d usr/lib64 ]; then
find usr/lib64 -type f -printf "\"/%h/%f\"\n" >> filelist.lst
fi
if [ -d usr/bin ]; then
find usr/bin -type f -printf "\"/%h/%f\"\n" >> filelist.lst
fi
if [ -d usr/sbin ]; then
find usr/sbin -type f -printf "\"/%h/%f\"\n" >> filelist.lst
fi
touch doclist.lst
if [ -d usr/share/man ]; then
find usr/share/man -type f -printf "\"/%h/%f.gz\"\n" >> doclist.lst
fi
popd
mv %{buildroot}/filelist.lst .
mv %{buildroot}/doclist.lst .
%files -n python3-webknossos -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Fri Jun 09 2023 Python_Bot <Python_Bot@openeuler.org> - 0.12.5-1
- Package Spec generated
|
