automatic import of python-dicomrttoolopeneuler20.03

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+/DicomRTTool-2.0.8.tar.gz
diff --git a/python-dicomrttool.spec b/python-dicomrttool.spec
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+%global _empty_manifest_terminate_build 0
+Name:		python-DicomRTTool
+Version:	2.0.8
+Release:	1
+Summary:	Services for reading dicom files, RT structures, and dose files, as well as tools for converting numpy prediction masks back to an RT structure
+License:	GNU Affero General Public License v3
+URL:		https://github.com/brianmanderson/Dicom_RT_and_Images_to_Mask
+Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/fd/68/778eac11a2991c66bb6e23ff80cf5b91717b125d0d282c016b868640d7cb/DicomRTTool-2.0.8.tar.gz
+BuildArch:	noarch
+
+Requires:	python3-numpy
+Requires:	python3-matplotlib
+Requires:	python3-opencv-python
+Requires:	python3-openpyxl
+Requires:	python3-pandas
+Requires:	python3-Pillow
+Requires:	python3-pydicom
+Requires:	python3-scikit-image
+Requires:	python3-scipy
+Requires:	python3-SimpleITK
+Requires:	python3-six
+Requires:	python3-xlrd
+Requires:	python3-check-manifest
+Requires:	python3-tqdm
+Requires:	python3-pytest
+Requires:	python3-PlotScrollNumpyArrays
+Requires:	python3-setuptools
+
+%description
+# We're published! Please check out the Technical Note here: https://www.sciencedirect.com/science/article/abs/pii/S1879850021000485 and reference this work if you find it useful
+### DOI:https://doi.org/10.1016/j.prro.2021.02.003
+
+## This code provides functionality for turning dicom images and RT structures into nifti files as well as turning prediction masks back into RT structures
+## Installation guide
+    pip install DicomRTTool
+### Highly recommend to go through the jupyter notebook in the Examples folder and to read the Wiki
+
+### Quick use guide
+    from DicomRTTool.ReaderWriter import DicomReaderWriter, ROIAssociationClass
+    Dicom_path = r'.some_path_to_dicom'
+    Dicom_reader = DicomReaderWriter(description='Examples', arg_max=True)
+    Dicom_reader.walk_through_folders(Dicom_path) # This will parse through all DICOM present in the folder and subfolders
+    all_rois = Dicom_reader.return_rois(print_rois=True) # Return a list of all rois present
+    
+    Contour_names = ['tumor'] # Define what rois you want
+    associations = [ROIAssociationClass('tumor', ['tumor_mr', 'tumor_ct'])] # Any list of roi associations
+    Dicom_reader.set_contour_names_and_assocations(contour_names=Contour_names, associations=associations)
+    
+    Dicom_reader.get_images_and_mask()
+    
+    image_numpy = Dicom_reader.ArrayDicom
+    mask_numpy = Dicom_reader.mask
+    image_sitk_handle = Dicom_reader.dicom_handle
+    mask_sitk_handle = Dicom_reader.annotation_handle
+
+### Other interesting additions
+### Adding information to the Dicom_reader.series_instances_dictionary
+    from DicomRTTool.ReaderWriter import Tag
+    plan_pydicom_string_keys = {"MyNamedRTPlan": Tag((0x300a, 0x002))}
+    image_sitk_string_keys = {"MyPatientName": "0010|0010"}
+    Dicom_reader = DicomReaderWriter(description='Examples', arg_max=True, plan_pydicom_string_keys=plan_pydicom_string_keys, image_sitk_string_keys=image_sitk_string_keys)
+    
+
+##### If you find this code useful, please provide a reference to my github page for others www.github.com/brianmanderson , thank you!
+
+###### Ring update allows for multiple rings to be represented correctly
+
+![multiple_rings.png](./Images/multiple_rings.png)
+
+
+#### Works on oblique images for masks and predictions*
+
+
+
+
+%package -n python3-DicomRTTool
+Summary:	Services for reading dicom files, RT structures, and dose files, as well as tools for converting numpy prediction masks back to an RT structure
+Provides:	python-DicomRTTool
+BuildRequires:	python3-devel
+BuildRequires:	python3-setuptools
+BuildRequires:	python3-pip
+%description -n python3-DicomRTTool
+# We're published! Please check out the Technical Note here: https://www.sciencedirect.com/science/article/abs/pii/S1879850021000485 and reference this work if you find it useful
+### DOI:https://doi.org/10.1016/j.prro.2021.02.003
+
+## This code provides functionality for turning dicom images and RT structures into nifti files as well as turning prediction masks back into RT structures
+## Installation guide
+    pip install DicomRTTool
+### Highly recommend to go through the jupyter notebook in the Examples folder and to read the Wiki
+
+### Quick use guide
+    from DicomRTTool.ReaderWriter import DicomReaderWriter, ROIAssociationClass
+    Dicom_path = r'.some_path_to_dicom'
+    Dicom_reader = DicomReaderWriter(description='Examples', arg_max=True)
+    Dicom_reader.walk_through_folders(Dicom_path) # This will parse through all DICOM present in the folder and subfolders
+    all_rois = Dicom_reader.return_rois(print_rois=True) # Return a list of all rois present
+    
+    Contour_names = ['tumor'] # Define what rois you want
+    associations = [ROIAssociationClass('tumor', ['tumor_mr', 'tumor_ct'])] # Any list of roi associations
+    Dicom_reader.set_contour_names_and_assocations(contour_names=Contour_names, associations=associations)
+    
+    Dicom_reader.get_images_and_mask()
+    
+    image_numpy = Dicom_reader.ArrayDicom
+    mask_numpy = Dicom_reader.mask
+    image_sitk_handle = Dicom_reader.dicom_handle
+    mask_sitk_handle = Dicom_reader.annotation_handle
+
+### Other interesting additions
+### Adding information to the Dicom_reader.series_instances_dictionary
+    from DicomRTTool.ReaderWriter import Tag
+    plan_pydicom_string_keys = {"MyNamedRTPlan": Tag((0x300a, 0x002))}
+    image_sitk_string_keys = {"MyPatientName": "0010|0010"}
+    Dicom_reader = DicomReaderWriter(description='Examples', arg_max=True, plan_pydicom_string_keys=plan_pydicom_string_keys, image_sitk_string_keys=image_sitk_string_keys)
+    
+
+##### If you find this code useful, please provide a reference to my github page for others www.github.com/brianmanderson , thank you!
+
+###### Ring update allows for multiple rings to be represented correctly
+
+![multiple_rings.png](./Images/multiple_rings.png)
+
+
+#### Works on oblique images for masks and predictions*
+
+
+
+
+%package help
+Summary:	Development documents and examples for DicomRTTool
+Provides:	python3-DicomRTTool-doc
+%description help
+# We're published! Please check out the Technical Note here: https://www.sciencedirect.com/science/article/abs/pii/S1879850021000485 and reference this work if you find it useful
+### DOI:https://doi.org/10.1016/j.prro.2021.02.003
+
+## This code provides functionality for turning dicom images and RT structures into nifti files as well as turning prediction masks back into RT structures
+## Installation guide
+    pip install DicomRTTool
+### Highly recommend to go through the jupyter notebook in the Examples folder and to read the Wiki
+
+### Quick use guide
+    from DicomRTTool.ReaderWriter import DicomReaderWriter, ROIAssociationClass
+    Dicom_path = r'.some_path_to_dicom'
+    Dicom_reader = DicomReaderWriter(description='Examples', arg_max=True)
+    Dicom_reader.walk_through_folders(Dicom_path) # This will parse through all DICOM present in the folder and subfolders
+    all_rois = Dicom_reader.return_rois(print_rois=True) # Return a list of all rois present
+    
+    Contour_names = ['tumor'] # Define what rois you want
+    associations = [ROIAssociationClass('tumor', ['tumor_mr', 'tumor_ct'])] # Any list of roi associations
+    Dicom_reader.set_contour_names_and_assocations(contour_names=Contour_names, associations=associations)
+    
+    Dicom_reader.get_images_and_mask()
+    
+    image_numpy = Dicom_reader.ArrayDicom
+    mask_numpy = Dicom_reader.mask
+    image_sitk_handle = Dicom_reader.dicom_handle
+    mask_sitk_handle = Dicom_reader.annotation_handle
+
+### Other interesting additions
+### Adding information to the Dicom_reader.series_instances_dictionary
+    from DicomRTTool.ReaderWriter import Tag
+    plan_pydicom_string_keys = {"MyNamedRTPlan": Tag((0x300a, 0x002))}
+    image_sitk_string_keys = {"MyPatientName": "0010|0010"}
+    Dicom_reader = DicomReaderWriter(description='Examples', arg_max=True, plan_pydicom_string_keys=plan_pydicom_string_keys, image_sitk_string_keys=image_sitk_string_keys)
+    
+
+##### If you find this code useful, please provide a reference to my github page for others www.github.com/brianmanderson , thank you!
+
+###### Ring update allows for multiple rings to be represented correctly
+
+![multiple_rings.png](./Images/multiple_rings.png)
+
+
+#### Works on oblique images for masks and predictions*
+
+
+
+
+%prep
+%autosetup -n DicomRTTool-2.0.8
+
+%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-DicomRTTool -f filelist.lst
+%dir %{python3_sitelib}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Fri May 05 2023 Python_Bot <Python_Bot@openeuler.org> - 2.0.8-1
+- Package Spec generated
diff --git a/sources b/sources
new file mode 100644
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+++ b/sources
@@ -0,0 +1 @@
+a536a457e191254c16c10bae0b507342  DicomRTTool-2.0.8.tar.gz