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|
%global _empty_manifest_terminate_build 0
Name: python-I2T2
Version: 0.1.7
Release: 1
Summary: Suite of useful tools for manipulating medical images.
License: Apache Software License 2.0
URL: https://github.com/UCSF-intelligent-imaging/I2T2/tree/master/
Source0: https://mirrors.aliyun.com/pypi/web/packages/db/44/447e5f7e5aa825b482935f2c4a451c399add382d1844fac90e7c892c8570/I2T2-0.1.7.tar.gz
BuildArch: noarch
Requires: python3-fastscript
Requires: python3-ipykernel
Requires: python3-ipython
Requires: python3-jupyter
Requires: python3-jupyterlab
Requires: python3-matplotlib
Requires: python3-nbdev
Requires: python3-numpy
Requires: python3-pandas
Requires: python3-pillow
Requires: python3-pydicom
Requires: python3-pypi
Requires: python3-twine
Requires: python3-scipy
Requires: python3-h5py
%description
# Intelligent Imaging Tools and Tasks (I2T2)
> Library of useful tools for Medical Imaging Handling
Instructions for installation and usage examples can be found below.
## Install
It's highly recommended you install `I2T2` and its dependencies in a virtual environment (conda or others), so that you don't interfere with system-wide python packages.
1. Installing via github download:
```python
git clone https://github.com/UCSF-intelligent-imaging/I2T2/
cd I2T2
conda create -n I2T2 python=3.7
conda activate I2T2
pip install nbdev jupyter
pip install -e .
conda install -c conda-forge gdcm
```
2. Installing via pip (latest stable version)
```
conda create -n I2T2 python=3.7
conda activate I2T2
pip install nbdev jupyter
pip install I2T2
conda install -c conda-forge gdcm
```
## Test your installation
```python
conda activate I2T2
python
>>> import I2T2
```
NOTE:
`I2T2` uses GDCM to uncompress some DICOMs.
Make sure to have GDCM installed in your conda environment via `conda install -c conda-forge gdcm`
```python
conda activate I2T2
python
>>> import gdcm
```
## Using I2T2
```
# example usage:
from I2T2.io import *
import matplotlib.pyplot as plt
data_path = '../data/knee/'
try:
array = load_dcm(path_to_dicom_dir = data_path, sort_by_slice_location=True)
plt.imshow(array[:,:,0])
plt.show()
except:
print('could not load array')
```
%package -n python3-I2T2
Summary: Suite of useful tools for manipulating medical images.
Provides: python-I2T2
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-I2T2
# Intelligent Imaging Tools and Tasks (I2T2)
> Library of useful tools for Medical Imaging Handling
Instructions for installation and usage examples can be found below.
## Install
It's highly recommended you install `I2T2` and its dependencies in a virtual environment (conda or others), so that you don't interfere with system-wide python packages.
1. Installing via github download:
```python
git clone https://github.com/UCSF-intelligent-imaging/I2T2/
cd I2T2
conda create -n I2T2 python=3.7
conda activate I2T2
pip install nbdev jupyter
pip install -e .
conda install -c conda-forge gdcm
```
2. Installing via pip (latest stable version)
```
conda create -n I2T2 python=3.7
conda activate I2T2
pip install nbdev jupyter
pip install I2T2
conda install -c conda-forge gdcm
```
## Test your installation
```python
conda activate I2T2
python
>>> import I2T2
```
NOTE:
`I2T2` uses GDCM to uncompress some DICOMs.
Make sure to have GDCM installed in your conda environment via `conda install -c conda-forge gdcm`
```python
conda activate I2T2
python
>>> import gdcm
```
## Using I2T2
```
# example usage:
from I2T2.io import *
import matplotlib.pyplot as plt
data_path = '../data/knee/'
try:
array = load_dcm(path_to_dicom_dir = data_path, sort_by_slice_location=True)
plt.imshow(array[:,:,0])
plt.show()
except:
print('could not load array')
```
%package help
Summary: Development documents and examples for I2T2
Provides: python3-I2T2-doc
%description help
# Intelligent Imaging Tools and Tasks (I2T2)
> Library of useful tools for Medical Imaging Handling
Instructions for installation and usage examples can be found below.
## Install
It's highly recommended you install `I2T2` and its dependencies in a virtual environment (conda or others), so that you don't interfere with system-wide python packages.
1. Installing via github download:
```python
git clone https://github.com/UCSF-intelligent-imaging/I2T2/
cd I2T2
conda create -n I2T2 python=3.7
conda activate I2T2
pip install nbdev jupyter
pip install -e .
conda install -c conda-forge gdcm
```
2. Installing via pip (latest stable version)
```
conda create -n I2T2 python=3.7
conda activate I2T2
pip install nbdev jupyter
pip install I2T2
conda install -c conda-forge gdcm
```
## Test your installation
```python
conda activate I2T2
python
>>> import I2T2
```
NOTE:
`I2T2` uses GDCM to uncompress some DICOMs.
Make sure to have GDCM installed in your conda environment via `conda install -c conda-forge gdcm`
```python
conda activate I2T2
python
>>> import gdcm
```
## Using I2T2
```
# example usage:
from I2T2.io import *
import matplotlib.pyplot as plt
data_path = '../data/knee/'
try:
array = load_dcm(path_to_dicom_dir = data_path, sort_by_slice_location=True)
plt.imshow(array[:,:,0])
plt.show()
except:
print('could not load array')
```
%prep
%autosetup -n I2T2-0.1.7
%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-I2T2 -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Thu Jun 08 2023 Python_Bot <Python_Bot@openeuler.org> - 0.1.7-1
- Package Spec generated
|
