interactivenet

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0.2.1 interactivenet-0.2.1-py3-none-any.whl

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Project: interactivenet
Version: 0.2.1
Filename: interactivenet-0.2.1-py3-none-any.whl
Download: [link]
Size: 76422
MD5: 1051be529c82bbb0fb22450319cffe0f
SHA256: e9adc5cc630e6ed3842c2810cbdd299cd8f2047680ec3baa7559721a13ab8fc1
Uploaded: 2023-10-26 10:53:52 +0000

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METADATA

Metadata-Version: 2.1
Name: interactivenet
Version: 0.2.1
Summary: InteractiveNet, a framework for minimally interactive medical image segmentation.
Author: Biomedical Imaging Group Rotterdam (BIGR)
Author-Email: d.spaanderman[at]erasmusmc.nl
Home-Page: https://github.com/Douwe-Spaanderman/InteractiveNet
Download-Url: https://github.com/Douwe-Spaanderman/InteractiveNet/archive/refs/tags/v0.2.1.tar.gz
License: Apache License, Version 2.0
Keywords: deep learning,medical image analysis,interactive segmentation,medical image segmentation,soft-tissue tumors,interactivenet
Requires-Python: >3.9.0
Requires-Dist: SimpleITK (>=2.1.1.2)
Requires-Dist: GeodisTK (>=0.1.7)
Requires-Dist: matplotlib (>=3.5.1)
Requires-Dist: mlflow (>=1.24.0)
Requires-Dist: monai (<1.3.0,>=1.0.0)
Requires-Dist: nibabel (>=3.2.2)
Requires-Dist: numpy (>=1.22.3)
Requires-Dist: Pillow (>=9.2.0)
Requires-Dist: psutil (>=5.9.0)
Requires-Dist: pytorch-lightning (<2.0.0,>=1.5.10)
Requires-Dist: scikit-image (>=0.19.2)
Requires-Dist: scikit-learn (>=1.1.1)
Requires-Dist: scipy (>=1.8.0)
Requires-Dist: seaborn (>=0.12.2)
Requires-Dist: pyradiomics (>=3.0.1)
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interactivenet-0.2.1.dist-info/RECORD

top_level.txt

interactivenet

entry_points.txt

interactivenet_available_models = interactivenet.deploy.download_model:print_available_pretrained_models
interactivenet_deploy = interactivenet.deploy.save_model:main
interactivenet_download_model = interactivenet.deploy.download_model:download_and_install_model
interactivenet_ensemble = interactivenet.test.ensemble:main
interactivenet_fingerprinting = interactivenet.experiment_planning.fingerprinting:main
interactivenet_generate_dataset_json = interactivenet.experiment_planning.generate_dataset_json:main
interactivenet_inference = interactivenet.test.inference:main
interactivenet_mimic_interactions = interactivenet.experiment_planning.mimic_annotations:main
interactivenet_plan_and_process = interactivenet.experiment_planning.plan_and_process:main
interactivenet_postprocessing = interactivenet.training.postprocessing:main
interactivenet_predict = interactivenet.test.predict:main
interactivenet_preprocessing = interactivenet.experiment_planning.preprocessing:main
interactivenet_test = interactivenet.test.run:main
interactivenet_train = interactivenet.training.run:main