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|
%global _empty_manifest_terminate_build 0
Name: python-deid
Version: 0.3.22
Release: 1
Summary: best effort deidentify dicom with python and pydicom
License: LICENSE
URL: https://github.com/pydicom/deid
Source0: https://mirrors.nju.edu.cn/pypi/web/packages/09/31/67227831745a5217dce959d5327e1a479a9f424ababef27f38c3cf77fe22/deid-0.3.22.tar.gz
BuildArch: noarch
%description
# Deidentify (deid)
Best effort anonymization for medical images in Python.
[](https://zenodo.org/badge/latestdoi/94163984)
[](https://travis-ci.org/pydicom/deid)
Please see our [Documentation](https://pydicom.github.io/deid/).
These are basic Python based tools for working with medical images and text, specifically for de-identification.
The cleaning method used here mirrors the one by CTP in that we can identify images based on known
locations. We are looking for collaborators to develop and validate an OCR cleaning method! Please reach out if you would like to help work on this.
## Installation
### Local
For the stable release, install via pip:
```bash
pip install deid
```
For the development version, install from Github:
```bash
pip install git+git://github.com/pydicom/deid
```
### Docker
```bash
docker build -t pydicom/deid .
docker run pydicom/deid --help
```
## Issues
If you have an issue, or want to request a feature, please do so on our [issues board](https://www.github.com/pydicom/deid/issues).
%package -n python3-deid
Summary: best effort deidentify dicom with python and pydicom
Provides: python-deid
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-deid
# Deidentify (deid)
Best effort anonymization for medical images in Python.
[](https://zenodo.org/badge/latestdoi/94163984)
[](https://travis-ci.org/pydicom/deid)
Please see our [Documentation](https://pydicom.github.io/deid/).
These are basic Python based tools for working with medical images and text, specifically for de-identification.
The cleaning method used here mirrors the one by CTP in that we can identify images based on known
locations. We are looking for collaborators to develop and validate an OCR cleaning method! Please reach out if you would like to help work on this.
## Installation
### Local
For the stable release, install via pip:
```bash
pip install deid
```
For the development version, install from Github:
```bash
pip install git+git://github.com/pydicom/deid
```
### Docker
```bash
docker build -t pydicom/deid .
docker run pydicom/deid --help
```
## Issues
If you have an issue, or want to request a feature, please do so on our [issues board](https://www.github.com/pydicom/deid/issues).
%package help
Summary: Development documents and examples for deid
Provides: python3-deid-doc
%description help
# Deidentify (deid)
Best effort anonymization for medical images in Python.
[](https://zenodo.org/badge/latestdoi/94163984)
[](https://travis-ci.org/pydicom/deid)
Please see our [Documentation](https://pydicom.github.io/deid/).
These are basic Python based tools for working with medical images and text, specifically for de-identification.
The cleaning method used here mirrors the one by CTP in that we can identify images based on known
locations. We are looking for collaborators to develop and validate an OCR cleaning method! Please reach out if you would like to help work on this.
## Installation
### Local
For the stable release, install via pip:
```bash
pip install deid
```
For the development version, install from Github:
```bash
pip install git+git://github.com/pydicom/deid
```
### Docker
```bash
docker build -t pydicom/deid .
docker run pydicom/deid --help
```
## Issues
If you have an issue, or want to request a feature, please do so on our [issues board](https://www.github.com/pydicom/deid/issues).
%prep
%autosetup -n deid-0.3.22
%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-deid -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Mon May 15 2023 Python_Bot <Python_Bot@openeuler.org> - 0.3.22-1
- Package Spec generated
|
