Hive-MAIA

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1.1.1 hive_maia-1.1.1-py3-none-any.whl

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Project: Hive-MAIA
Version: 1.1.1
Filename: hive_maia-1.1.1-py3-none-any.whl
Download: [link]
Size: 73476
MD5: f083baa5f1882b8c1cbb8ed6fd2ee187
SHA256: 9be36448c42e56990915bec2a89835b80716caa4d1fb2a01599e8199814c5838
Uploaded: 2023-04-19 13:57:37 +0000

dist-info

METADATA

Metadata-Version: 2.1
Name: hive-maia
Version: 1.1.1
Summary: Python Package to support Deep Learning data preparation, pre-processing. training, result visualization and model deployment across different frameworks (nnUNet, nnDetection, MONAI).
Author: Simone Bendazzoli
Author-Email: simben[at]kth.se
Home-Page: https://github.com/MAIA-KTH/Hive.git
Project-Url: Documentation, https://hive-maia.readthedocs.io
Project-Url: Source, https://github.com/MAIA-KTH/Hive
Project-Url: Tracker, https://github.com/MAIA-KTH/Hive/issues
License: GPLv3
Keywords: deep learning,image segmentation,medical image analysis,medical image segmentation,object detection
Requires-Dist: coloredlogs
Requires-Dist: dicom2nifti
Requires-Dist: loguru
Requires-Dist: matplotlib
Requires-Dist: nibabel
Requires-Dist: numpy
Requires-Dist: pydicom
Requires-Dist: pydicom-seg
Requires-Dist: pynvml
Requires-Dist: scikit-learn
Requires-Dist: scipy
Requires-Dist: SimpleITK
Requires-Dist: tqdm
Requires-Dist: pandas
Requires-Dist: openpyxl
Description-Content-Type: text/markdown
License-File: LICENSE
[Description omitted; length: 916 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.37.1)
Root-Is-Purelib: true
Tag: py3-none-any

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hive_maia-1.1.1.dist-info/RECORD

top_level.txt

Hive
Hive_scripts

entry_points.txt

Hive_convert_DICOM_dataset_to_NIFTI_dataset = Hive_scripts.Hive_convert_DICOM_dataset_to_NIFTI_dataset:main
Hive_convert_semantic_to_instance_segmentation = Hive_scripts.Hive_convert_semantic_to_instance_segmentation:main
Hive_create_subset = Hive_scripts.Hive_create_subset:main
Hive_extract_experiment_predictions = Hive_scripts.Hive_extract_experiment_predictions:main
Hive_order_data_folder = Hive_scripts.Hive_order_data_folder:main
Hive_run_pipeline_from_file = Hive_scripts.Hive_run_pipeline_from_file:main
nndet_compute_metric_results = Hive_scripts.nndet_compute_metric_results:main
nndet_create_pipeline = Hive_scripts.nndet_create_pipeline:main
nndet_prepare_data_folder = Hive_scripts.nndet_prepare_data_folder:main
nndet_run_preprocessing = Hive_scripts.nndet_run_preprocessing:main
nndet_run_training = Hive_scripts.nndet_run_training:main