nnunet-customized

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1.2 nnunet_customized-1.2-py3-none-any.whl

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Project: nnunet-customized
Version: 1.2
Filename: nnunet_customized-1.2-py3-none-any.whl
Download: [link]
Size: 474048
MD5: e392d43ab61d60eb9c01f108fedd7b2e
SHA256: 1e3af7556d49b45c7884c7676bd05fd3fe9220dc951d47fd8812c2486670d18a
Uploaded: 2023-02-15 15:12:44 +0000

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METADATA

Metadata-Version: 2.1
Name: nnunet-customized
Version: 1.2
Summary: nnU-Net. Framework for out-of-the box biomedical image segmentation.
Author: Division of Medical Image Computing, German Cancer Research Center
Author-Email: f.isensee[at]dkfz-heidelberg.de
Home-Page: https://github.com/wasserth/nnUNet_cust
License: Apache License Version 2.0, January 2004
Keywords: deep learning,image segmentation,medical image analysis,medical image segmentation,nnU-Net,nnunet
Requires-Dist: torch (>=1.6.0a)
Requires-Dist: tqdm
Requires-Dist: dicom2nifti
Requires-Dist: scikit-image (>=0.14)
Requires-Dist: medpy
Requires-Dist: scipy
Requires-Dist: batchgenerators (>=0.21)
Requires-Dist: scikit-learn
Requires-Dist: SimpleITK
Requires-Dist: pandas
Requires-Dist: requests
Requires-Dist: nibabel
Requires-Dist: tifffile
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nnunet_customized-1.2.dist-info/RECORD

top_level.txt

nnunet

entry_points.txt

nnUNet_change_trainer_class = nnunet.inference.change_trainer:main
nnUNet_convert_decathlon_task = nnunet.experiment_planning.nnUNet_convert_decathlon_task:main
nnUNet_determine_postprocessing = nnunet.postprocessing.consolidate_postprocessing_simple:main
nnUNet_download_pretrained_model = nnunet.inference.pretrained_models.download_pretrained_model:download_by_name
nnUNet_download_pretrained_model_by_url = nnunet.inference.pretrained_models.download_pretrained_model:download_by_url
nnUNet_ensemble = nnunet.inference.ensemble_predictions:main
nnUNet_evaluate_folder = nnunet.evaluation.evaluator:nnunet_evaluate_folder
nnUNet_export_model_to_zip = nnunet.inference.pretrained_models.collect_pretrained_models:export_entry_point
nnUNet_find_best_configuration = nnunet.evaluation.model_selection.figure_out_what_to_submit:main
nnUNet_install_pretrained_model_from_zip = nnunet.inference.pretrained_models.download_pretrained_model:install_from_zip_entry_point
nnUNet_plan_and_preprocess = nnunet.experiment_planning.nnUNet_plan_and_preprocess:main
nnUNet_predict = nnunet.inference.predict_simple:main
nnUNet_print_available_pretrained_models = nnunet.inference.pretrained_models.download_pretrained_model:print_available_pretrained_models
nnUNet_print_pretrained_model_info = nnunet.inference.pretrained_models.download_pretrained_model:print_pretrained_model_requirements
nnUNet_train = nnunet.run.run_training:main
nnUNet_train_DDP = nnunet.run.run_training_DDP:main
nnUNet_train_DP = nnunet.run.run_training_DP:main