Download manifests/10/github.com__mic-dkfz__nnunet.json from OpenScientificCodeRegistry/Database: direct link, hf CLI and curl.
- Browser
- Download file 43.1 kB
-
https://huggingface.co/datasets/OpenScientificCodeRegistry/Database/resolve/main/manifests/10/github.com__mic-dkfz__nnunet.json
- Command line
-
hf download hf://datasets/OpenScientificCodeRegistry/Database/manifests/10/github.com__mic-dkfz__nnunet.json
-
curl -L -o github.com__mic-dkfz__nnunet.json https://huggingface.co/datasets/OpenScientificCodeRegistry/Database/resolve/main/manifests/10/github.com__mic-dkfz__nnunet.json
43.1 kB
| { | |
| "format": "oscr-script-manifest/1", | |
| "repository": "github.com/mic-dkfz/nnunet", | |
| "url": "https://github.com/MIC-DKFZ/nnUNet/tree/master", | |
| "host": "github.com", | |
| "commit": "202f6baa0adc2ef5f7b615df19cc4da970412cc0", | |
| "license": "Apache-2.0", | |
| "license_confirmed_by": "license file LICENSE", | |
| "redistribution": "yes", | |
| "files": [ | |
| { | |
| "path": ".github/scripts/safe-label.sh", | |
| "sha256": "4d884fcf72cc20ff00160682124462c00970c030a4093aed45b60bf26c38c90e", | |
| "language": "Shell", | |
| "lines": 46, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 11624 | |
| }, | |
| { | |
| "path": ".github/scripts/safe-pr-review.sh", | |
| "sha256": "6c438133e4e13a65473063197c38aa9be503f0cac35fb44a94e0fd7c9275b41e", | |
| "language": "Shell", | |
| "lines": 29, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 11486 | |
| }, | |
| { | |
| "path": "LICENSE", | |
| "sha256": "ff93b6fdf1d59f7c48ca7f44f2d0db47bb7743a1c6fa0f4c5f4d7809f78ce70e", | |
| "language": "License", | |
| "lines": 201, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 2219 | |
| }, | |
| { | |
| "path": "documentation/competitions/FLARE24/Task_1/inference_flare_task1.py", | |
| "sha256": "d8697fc7454fc4c9b4ecc59b380de36242c3319dfe0ead1bef47666be628ee11", | |
| "language": "Python", | |
| "lines": 209, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 8649 | |
| }, | |
| { | |
| "path": "documentation/competitions/FLARE24/Task_2/inference_flare_task2.py", | |
| "sha256": "84dc15e740e27cd50c79a7fb004476db96db0842d557a8f2add6acfcb4182896", | |
| "language": "Python", | |
| "lines": 467, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 9479 | |
| }, | |
| { | |
| "path": "documentation/competitions/Toothfairy2/inference_script_semseg_only_customInf2.py", | |
| "sha256": "bf1d0375d5a082b041cf060ef74f520baccd30b297ea2075cab3426d87e40c98", | |
| "language": "Python", | |
| "lines": 359, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 9073 | |
| }, | |
| { | |
| "path": "nnunetv2/batch_running/benchmarking/generate_benchmarking_commands.py", | |
| "sha256": "3ba3831200199c7626daa229c369d7b9de265731b626beb111414ce6c41a72ea", | |
| "language": "Python", | |
| "lines": 41, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 6300 | |
| }, | |
| { | |
| "path": "nnunetv2/batch_running/benchmarking/summarize_benchmark_results.py", | |
| "sha256": "c48b27489bc8a3e46d07eb3b516e917f3af595e8b8bfddf20c5f6da8341c766a", | |
| "language": "Python", | |
| "lines": 69, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 6877 | |
| }, | |
| { | |
| "path": "nnunetv2/batch_running/collect_results_custom_Decathlon.py", | |
| "sha256": "56f21676a0d7ece3ff18be9c9c504c5b840d726191e34e422065fa8a7d7601c2", | |
| "language": "Python", | |
| "lines": 121, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 7712 | |
| }, | |
| { | |
| "path": "nnunetv2/batch_running/collect_results_custom_Decathlon_2d.py", | |
| "sha256": "48089272883a32133deb5c0aa0b1fa99ac261a8e3d5ab9479bc55158877c4c6a", | |
| "language": "Python", | |
| "lines": 17, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 5524 | |
| }, | |
| { | |
| "path": "nnunetv2/batch_running/generate_lsf_runs_customDecathlon.py", | |
| "sha256": "12e895f38f77604ebabebcb6713d6f7fbb27d591beb056bffb634a22cd2ad58d", | |
| "language": "Python", | |
| "lines": 111, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 7438 | |
| }, | |
| { | |
| "path": "nnunetv2/batch_running/jobs.sh", | |
| "sha256": "b305a09b3d486e3489e2b9f88a880dd406ac6242efd90302788d0f5d28668449", | |
| "language": "Shell", | |
| "lines": 52, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 11744 | |
| }, | |
| { | |
| "path": "nnunetv2/batch_running/release_trainings/nnunetv2_v1/collect_results.py", | |
| "sha256": "ffc6b25b33e94b1ee35544ea6dcf51939111c596625c8c7529cd0d5b8639e788", | |
| "language": "Python", | |
| "lines": 112, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 7618 | |
| }, | |
| { | |
| "path": "nnunetv2/batch_running/release_trainings/nnunetv2_v1/generate_lsf_commands.py", | |
| "sha256": "270310f73c8b80187b1e48eb4164f0aa5df9a9e4cc3d1e92b7a4c472f5124ac4", | |
| "language": "Python", | |
| "lines": 91, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 7069 | |
| }, | |
| { | |
| "path": "nnunetv2/configuration.py", | |
| "sha256": "c62f73b1bc1111b0bc9c3dfe5c8d1a481047bbb2c128b6017ede97da2af17beb", | |
| "language": "Python", | |
| "lines": 10, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 5326 | |
| }, | |
| { | |
| "path": "nnunetv2/dataset_conversion/Dataset015_018_RibFrac_RibSeg.py", | |
| "sha256": "6021689ae577f8e002f8b10b9e11fb72d457215376cabc0d71f61821201cc333", | |
| "language": "Python", | |
| "lines": 147, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 7580 | |
| }, | |
| { | |
| "path": "nnunetv2/dataset_conversion/Dataset021_CTAAorta.py", | |
| "sha256": "b6f0488a2f244227219049232877cc19dc3d8e2b44f32cef6a8cb1e44e7d1c6f", | |
| "language": "Python", | |
| "lines": 70, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 6451 | |
| }, | |
| { | |
| "path": "nnunetv2/dataset_conversion/Dataset023_AbdomenAtlas1_1Mini.py", | |
| "sha256": "bb34fc440e4a3143e512ae061161fe3c780aa190beed8c46fb1c1d2b1fbfc352", | |
| "language": "Python", | |
| "lines": 55, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 6475 | |
| }, | |
| { | |
| "path": "nnunetv2/dataset_conversion/Dataset027_ACDC.py", | |
| "sha256": "833c9bbbb0fe3355e550368a8af1d0340058852e91de44f13d9e72b5886436b0", | |
| "language": "Python", | |
| "lines": 114, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 7309 | |
| }, | |
| { | |
| "path": "nnunetv2/dataset_conversion/Dataset042_BraTS18.py", | |
| "sha256": "a69dd8c0a5737ca3f6127f5c608373d9855e86cb18606af8d7e4822f8ee4dc59", | |
| "language": "Python", | |
| "lines": 110, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 7385 | |
| }, | |
| { | |
| "path": "nnunetv2/dataset_conversion/Dataset043_BraTS19.py", | |
| "sha256": "adb330e9aaa079cf0ff23e398f4b59b712b158b9725acfa4f2f2f2751f6a5587", | |
| "language": "Python", | |
| "lines": 110, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 7386 | |
| }, | |
| { | |
| "path": "nnunetv2/dataset_conversion/Dataset073_Fluo_C3DH_A549_SIM.py", | |
| "sha256": "ff615ff7b67226d925875985493b9eaba20939bd9651544bd508d62d37c5264b", | |
| "language": "Python", | |
| "lines": 84, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 7193 | |
| }, | |
| { | |
| "path": "nnunetv2/dataset_conversion/Dataset114_MNMs.py", | |
| "sha256": "d1ac40e1583274cadf1b88d6899c402f01b08c61fec214d508347cb2bd2807a5", | |
| "language": "Python", | |
| "lines": 198, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 8362 | |
| }, | |
| { | |
| "path": "nnunetv2/dataset_conversion/Dataset115_EMIDEC.py", | |
| "sha256": "41209b45ce2ec0576e172029c5a43287af31475d40efe4b8cb149e0cb77b0089", | |
| "language": "Python", | |
| "lines": 61, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 6474 | |
| }, | |
| { | |
| "path": "nnunetv2/dataset_conversion/Dataset119_ToothFairy2_All.py", | |
| "sha256": "0c35ff5a280d3356b93e19aa41e439f21d961073feedf9d7fa87c25ead7426e6", | |
| "language": "Python", | |
| "lines": 196, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 7898 | |
| }, | |
| { | |
| "path": "nnunetv2/dataset_conversion/Dataset120_RoadSegmentation.py", | |
| "sha256": "4551cbaa5af87580238c7b28f3ddaa551043d782bcca350041a10dad7dd8b713", | |
| "language": "Python", | |
| "lines": 86, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 6932 | |
| }, | |
| { | |
| "path": "nnunetv2/dataset_conversion/Dataset137_BraTS21.py", | |
| "sha256": "bf26185c147961eeca20f03f7c4a358cf5eb44b678c19bb8bf7cc17164b08085", | |
| "language": "Python", | |
| "lines": 97, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 7118 | |
| }, | |
| { | |
| "path": "nnunetv2/dataset_conversion/Dataset218_Amos2022_task1.py", | |
| "sha256": "18b0e6d5dc74aeeabca0960f089f2e6e8308d0eea3403d44378054102df23d44", | |
| "language": "Python", | |
| "lines": 68, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 7041 | |
| }, | |
| { | |
| "path": "nnunetv2/dataset_conversion/Dataset219_Amos2022_task2.py", | |
| "sha256": "a41b0f369cf8f2b9cab2414b7faecc9bd022416e443ac83ba82036012cac136a", | |
| "language": "Python", | |
| "lines": 64, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 6986 | |
| }, | |
| { | |
| "path": "nnunetv2/dataset_conversion/Dataset220_KiTS2023.py", | |
| "sha256": "f97256147a2563e22f831dcfa503c2f6a95785f722511b9fae590d19363b6c85", | |
| "language": "Python", | |
| "lines": 49, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 6320 | |
| }, | |
| { | |
| "path": "nnunetv2/dataset_conversion/Dataset221_AutoPETII_2023.py", | |
| "sha256": "adb24656233a4ac01c0a7398076c2c8df43082b69e1facb1c1cce923476affe5", | |
| "language": "Python", | |
| "lines": 70, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 6838 | |
| }, | |
| { | |
| "path": "nnunetv2/dataset_conversion/Dataset223_AMOS2022postChallenge.py", | |
| "sha256": "6c1b541a62b5be4b948e0f4874245610e6a5b76659df60558890efb339c10d1c", | |
| "language": "Python", | |
| "lines": 59, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 6606 | |
| }, | |
| { | |
| "path": "nnunetv2/dataset_conversion/Dataset224_AbdomenAtlas1.0.py", | |
| "sha256": "f83032e393f718a46ba90c6a364994f92b8cd3a5bf9131459a0bb9cc28effae3", | |
| "language": "Python", | |
| "lines": 60, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 6458 | |
| }, | |
| { | |
| "path": "nnunetv2/dataset_conversion/Dataset226_BraTS2024-BraTS-GLI.py", | |
| "sha256": "fe8228b892a1f647db3674f388f545c3c0cf6016c8ca5c1e0aeaa15b0b387847", | |
| "language": "Python", | |
| "lines": 55, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 6367 | |
| }, | |
| { | |
| "path": "nnunetv2/dataset_conversion/Dataset227_TotalSegmentatorMRI.py", | |
| "sha256": "d5b21485ec81fd445ec7643ae5086688477f8f8d5d316bc07083d330804a1b94", | |
| "language": "Python", | |
| "lines": 54, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 6377 | |
| }, | |
| { | |
| "path": "nnunetv2/dataset_conversion/Dataset987_dummyDataset4.py", | |
| "sha256": "b6a2fbe51d9007d0917cac4ce6da87dd0850798052a94798d8c82335c8befe11", | |
| "language": "Python", | |
| "lines": 32, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 5937 | |
| }, | |
| { | |
| "path": "nnunetv2/dataset_conversion/Dataset989_dummyDataset4_2.py", | |
| "sha256": "3eec6f0bc34a6bb7e83d6ba96ffe4cdd06410d0bf9a8facbcf282a5303203711", | |
| "language": "Python", | |
| "lines": 32, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 5955 | |
| }, | |
| { | |
| "path": "nnunetv2/dataset_conversion/convert_MSD_dataset.py", | |
| "sha256": "79ba852dfc114290eb9ec6c4ff376dac7d1d966f003f538f79ce20ddd13eba9a", | |
| "language": "Python", | |
| "lines": 131, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 7717 | |
| }, | |
| { | |
| "path": "nnunetv2/dataset_conversion/convert_raw_dataset_from_old_nnunet_format.py", | |
| "sha256": "a007dc0cf6d3e383e9fbc0ad300e7a0b45ce95711ac969ec06f847699bb1cda6", | |
| "language": "Python", | |
| "lines": 53, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 6722 | |
| }, | |
| { | |
| "path": "nnunetv2/dataset_conversion/datasets_for_integration_tests/Dataset996_IntegrationTest_Hippocampus_regions_ignore.py", | |
| "sha256": "85549973dbb0afff3327871a4cff191283626dcdfb472df3cc7486334968c722", | |
| "language": "Python", | |
| "lines": 73, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 6827 | |
| }, | |
| { | |
| "path": "nnunetv2/dataset_conversion/datasets_for_integration_tests/Dataset997_IntegrationTest_Hippocampus_regions.py", | |
| "sha256": "0fdc2e99d835b33d8db1f8992a13d60619a587cd2f1b3230f1fea2d0e478f0da", | |
| "language": "Python", | |
| "lines": 37, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 5988 | |
| }, | |
| { | |
| "path": "nnunetv2/dataset_conversion/datasets_for_integration_tests/Dataset998_IntegrationTest_Hippocampus_ignore.py", | |
| "sha256": "af8f7a0189ae069a11b0a93fdc8e06cff70911cc47896818c043d63c3b948449", | |
| "language": "Python", | |
| "lines": 33, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 5936 | |
| }, | |
| { | |
| "path": "nnunetv2/dataset_conversion/datasets_for_integration_tests/Dataset999_IntegrationTest_Hippocampus.py", | |
| "sha256": "425ad3577d58a659260c9bbef555a8ae19a638b5905dedb1d6f8632a2ae654e5", | |
| "language": "Python", | |
| "lines": 27, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 5759 | |
| }, | |
| { | |
| "path": "nnunetv2/dataset_conversion/generate_dataset_json.py", | |
| "sha256": "72e78a49b9a6f32f5ebc0a8312804ee49ecbd228b4e8b9537348b847dfe6fa15", | |
| "language": "Python", | |
| "lines": 111, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 7297 | |
| }, | |
| { | |
| "path": "nnunetv2/ensembling/ensemble.py", | |
| "sha256": "8e7d4e6e41bea4a74c102a1de56aa634e52a6f8031c8b419f71866e989e818fc", | |
| "language": "Python", | |
| "lines": 207, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 8498 | |
| }, | |
| { | |
| "path": "nnunetv2/evaluation/accumulate_cv_results.py", | |
| "sha256": "bafa26af2935673e1742aa50acf8371fd9e08240fc7ff6b366fcb57f160e5e78", | |
| "language": "Python", | |
| "lines": 58, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 6879 | |
| }, | |
| { | |
| "path": "nnunetv2/evaluation/evaluate_predictions.py", | |
| "sha256": "bdce137cc297e33e126d648c625dd905a6c41d6aa80a521f4a629bbeca3df294", | |
| "language": "Python", | |
| "lines": 262, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 8809 | |
| }, | |
| { | |
| "path": "nnunetv2/evaluation/find_best_configuration.py", | |
| "sha256": "59cf665c440e508df99221f94210684cf0cc4b7860c3f04bbb5978baa8913b87", | |
| "language": "Python", | |
| "lines": 339, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 9279 | |
| }, | |
| { | |
| "path": "nnunetv2/experiment_planning/dataset_fingerprint/fingerprint_extractor.py", | |
| "sha256": "3c02d290f45c06b3d517f866ae4b9fc4e7fe39155ce8efc6ed1eafa8525e5900", | |
| "language": "Python", | |
| "lines": 211, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 8771 | |
| }, | |
| { | |
| "path": "nnunetv2/experiment_planning/experiment_planners/default_experiment_planner.py", | |
| "sha256": "c37bb500e9ddd414beff4fae76992af847a8bfeef4b1dace3a052e5fba751554", | |
| "language": "Python", | |
| "lines": 603, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 9670 | |
| }, | |
| { | |
| "path": "nnunetv2/experiment_planning/experiment_planners/network_topology.py", | |
| "sha256": "2140c9c6b20273bbf3052a72459954543d93790cc5269e0d8fbaddcfbd30aa8f", | |
| "language": "Python", | |
| "lines": 108, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 7106 | |
| }, | |
| { | |
| "path": "nnunetv2/experiment_planning/experiment_planners/resampling/planners_no_resampling.py", | |
| "sha256": "f14c3cf05a40363acd8db6ff9c94cdfad22d78a94dc2bfd82a5ec2bfddcf3ae4", | |
| "language": "Python", | |
| "lines": 54, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 6644 | |
| }, | |
| { | |
| "path": "nnunetv2/experiment_planning/experiment_planners/resampling/resample_with_torch.py", | |
| "sha256": "25d360daf2da56c79d535a9ac7eba5f0e8fd514dd8480e00fadf902846f814f3", | |
| "language": "Python", | |
| "lines": 181, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 8308 | |
| }, | |
| { | |
| "path": "nnunetv2/experiment_planning/experiment_planners/resencUNet_planner.py", | |
| "sha256": "e9dec95ba75105a478319aae452d676b88d834721d38df4019bd8063d1f21aa9", | |
| "language": "Python", | |
| "lines": 26, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 5798 | |
| }, | |
| { | |
| "path": "nnunetv2/experiment_planning/experiment_planners/residual_unets/residual_encoder_unet_planners.py", | |
| "sha256": "f2de43f8bc21a3bc8d7527380ff18015404a7a95561f7762a401cc87f740ddff", | |
| "language": "Python", | |
| "lines": 291, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 9175 | |
| }, | |
| { | |
| "path": "nnunetv2/experiment_planning/like_nnssl.py", | |
| "sha256": "01e551bcb642e5b0eb70524dfe855100aa701b8fb8d5c50361ffc2f7b4de7737", | |
| "language": "Python", | |
| "lines": 512, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 9471 | |
| }, | |
| { | |
| "path": "nnunetv2/experiment_planning/plan_and_preprocess_api.py", | |
| "sha256": "46fbca9631d6bec94ebd6e98906d0c6aac498497f4d9b2ee95057085f53dd914", | |
| "language": "Python", | |
| "lines": 171, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 8526 | |
| }, | |
| { | |
| "path": "nnunetv2/experiment_planning/plan_and_preprocess_entrypoints.py", | |
| "sha256": "0e76f6f7e6d27bf5c1d4441ecc0a4e42cab5fd3bfa835c2cb2111de7214bf09e", | |
| "language": "Python", | |
| "lines": 235, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 9270 | |
| }, | |
| { | |
| "path": "nnunetv2/experiment_planning/plans_for_pretraining/move_plans_between_datasets.py", | |
| "sha256": "6dec72fbd5e51a0f0de5e27b366f96b653ba634358d533899d37de68876473d7", | |
| "language": "Python", | |
| "lines": 82, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 7266 | |
| }, | |
| { | |
| "path": "nnunetv2/experiment_planning/verify_dataset_integrity.py", | |
| "sha256": "1a6539853717e4cf90f2830893326b87a56bee61bbd6e84b275fd68019b425ad", | |
| "language": "Python", | |
| "lines": 239, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 8824 | |
| }, | |
| { | |
| "path": "nnunetv2/imageio/base_reader_writer.py", | |
| "sha256": "ded57b2e4a14ab4775461f036449e6dda9062173736de3502f181a8364757198", | |
| "language": "Python", | |
| "lines": 107, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 7612 | |
| }, | |
| { | |
| "path": "nnunetv2/imageio/natural_image_reader_writer.py", | |
| "sha256": "944cedccc7c471bced0aadcd861fab7bc84e9c08c571ab3e0da9947f204e4be3", | |
| "language": "Python", | |
| "lines": 81, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 7066 | |
| }, | |
| { | |
| "path": "nnunetv2/imageio/nibabel_reader_writer.py", | |
| "sha256": "251b7edd0baff8c2b9790cafbafe361310636c2122bbe92be61426b2d6767500", | |
| "language": "Python", | |
| "lines": 222, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 8452 | |
| }, | |
| { | |
| "path": "nnunetv2/imageio/reader_writer_registry.py", | |
| "sha256": "0190dbc7303a12d7c1afa5ba633d72bcaedabb4086fedacefffbe72b85b7e363", | |
| "language": "Python", | |
| "lines": 88, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 7155 | |
| }, | |
| { | |
| "path": "nnunetv2/imageio/simpleitk_reader_writer.py", | |
| "sha256": "ef5afaf725119faa01256f385724c51d0b2ab2fd68551d669f49533229c1fab8", | |
| "language": "Python", | |
| "lines": 234, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 8596 | |
| }, | |
| { | |
| "path": "nnunetv2/imageio/tif_reader_writer.py", | |
| "sha256": "b74e207550d209f851d3887557376ddd13f98a13bf3c681b03e792a786d0efd9", | |
| "language": "Python", | |
| "lines": 100, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 7379 | |
| }, | |
| { | |
| "path": "nnunetv2/inference/JHU_inference.py", | |
| "sha256": "42ed5eeb1794459c1b0fd88393277b7820babab8ae48d09aff619079aca88f7b", | |
| "language": "Python", | |
| "lines": 197, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 8285 | |
| }, | |
| { | |
| "path": "nnunetv2/inference/data_iterators.py", | |
| "sha256": "8437bd32ea1f055457d5e5d0b1e5b4fcbc51eeeb619586401bc9204e64cc501b", | |
| "language": "Python", | |
| "lines": 315, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 9111 | |
| }, | |
| { | |
| "path": "nnunetv2/inference/examples.py", | |
| "sha256": "eb68c61ddc14b14006417b526a5a87363fcfe87a3a9cd8c4059c4e31f80a2419", | |
| "language": "Python", | |
| "lines": 100, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 7832 | |
| }, | |
| { | |
| "path": "nnunetv2/inference/export_prediction.py", | |
| "sha256": "5b4db8e6f3e1a57f91babb21bca19cdc2c948d955c91fae24d0543a94f34fd7d", | |
| "language": "Python", | |
| "lines": 160, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 8407 | |
| }, | |
| { | |
| "path": "nnunetv2/inference/predict_from_raw_data.py", | |
| "sha256": "c350e3202a7a67c3aef12e9206a744add442110ff8a4377c1f9640104b20a31f", | |
| "language": "Python", | |
| "lines": 1099, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 9822 | |
| }, | |
| { | |
| "path": "nnunetv2/inference/sliding_window_prediction.py", | |
| "sha256": "df763e2077de4c616a546d5baa7707dff2abc678ec2c370d9bef4fa94cd00674", | |
| "language": "Python", | |
| "lines": 65, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 6704 | |
| }, | |
| { | |
| "path": "nnunetv2/model_sharing/entry_points.py", | |
| "sha256": "f208bc7ed47b6a3dae45788a8153c8a08d1507977d7dcfed15200142c931aee0", | |
| "language": "Python", | |
| "lines": 61, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 6977 | |
| }, | |
| { | |
| "path": "nnunetv2/model_sharing/model_download.py", | |
| "sha256": "1c69b2246957e85fabf1909a5d6b02651255ade64c7ae55b76af8bd9f8a1000b", | |
| "language": "Python", | |
| "lines": 39, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 5980 | |
| }, | |
| { | |
| "path": "nnunetv2/model_sharing/model_export.py", | |
| "sha256": "9fbb7550a44f409bf97ab8375b0ef9268852e9cbcf4e8d1ae7d19ead4ee59a42", | |
| "language": "Python", | |
| "lines": 124, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 7920 | |
| }, | |
| { | |
| "path": "nnunetv2/model_sharing/model_import.py", | |
| "sha256": "d5bea3c57923755557f58e86d73c4e2bc060fd15bb10d318ebab652ea83cc4aa", | |
| "language": "Python", | |
| "lines": 8, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 5155 | |
| }, | |
| { | |
| "path": "nnunetv2/paths.py", | |
| "sha256": "9578aabd766402d21111ec04b3bb07a71b39ce618e5b06007fb04d86e3d18cd0", | |
| "language": "Python", | |
| "lines": 79, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 6629 | |
| }, | |
| { | |
| "path": "nnunetv2/postprocessing/remove_connected_components.py", | |
| "sha256": "f8be44e499bc8b03df4f23eb68bce15a60d508829176267be337f57c3547e0a2", | |
| "language": "Python", | |
| "lines": 361, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 9345 | |
| }, | |
| { | |
| "path": "nnunetv2/preprocessing/cropping/cropping.py", | |
| "sha256": "57298102d27dc19a88945399048dba6e07c73d35c0f4cad42c698995c4d2f1ac", | |
| "language": "Python", | |
| "lines": 39, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 5817 | |
| }, | |
| { | |
| "path": "nnunetv2/preprocessing/normalization/default_normalization_schemes.py", | |
| "sha256": "e260a437360df5b64f2279c283c12b255abc75927d52546fc7fb90987a1745e5", | |
| "language": "Python", | |
| "lines": 104, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 7358 | |
| }, | |
| { | |
| "path": "nnunetv2/preprocessing/normalization/map_channel_name_to_normalization.py", | |
| "sha256": "e195bc1f5cdfcf723b1a11c15e2539f15d11018bfcf20a758e18badca4b723fb", | |
| "language": "Python", | |
| "lines": 24, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 5693 | |
| }, | |
| { | |
| "path": "nnunetv2/preprocessing/preprocessors/default_preprocessor.py", | |
| "sha256": "a2bb834d8a772ea47fab4281ddc83444d80d194ee84be53ee4ef6e689829695e", | |
| "language": "Python", | |
| "lines": 492, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 9469 | |
| }, | |
| { | |
| "path": "nnunetv2/preprocessing/resampling/default_resampling.py", | |
| "sha256": "28f7214e82c6ab74eb565ab5662ae753886f067875fe96ea1ff07d7ccacd04e7", | |
| "language": "Python", | |
| "lines": 231, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 8712 | |
| }, | |
| { | |
| "path": "nnunetv2/preprocessing/resampling/no_resampling.py", | |
| "sha256": "78838ffeefc3dfe065f0d667ec2613d26b7abf62344222fb44c98d7e6dfcb2e7", | |
| "language": "Python", | |
| "lines": 13, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 5287 | |
| }, | |
| { | |
| "path": "nnunetv2/preprocessing/resampling/resample_torch.py", | |
| "sha256": "14da7db362c338fcd9276ff55358b46c8eb446a1153ab3a438ecc6e4eeafc9f8", | |
| "language": "Python", | |
| "lines": 174, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 8104 | |
| }, | |
| { | |
| "path": "nnunetv2/preprocessing/resampling/utils.py", | |
| "sha256": "7f5cceddb94a028944f64074af41dc202d3ecba56e5c08dc7e2022e16ee1d141", | |
| "language": "Python", | |
| "lines": 15, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 5530 | |
| }, | |
| { | |
| "path": "nnunetv2/preprocessing/sampling_locations/extract_sampling_locations.py", | |
| "sha256": "be837c1382768df158c3d20be5758aa76b58d56d1853ff472392c49730282fca", | |
| "language": "Python", | |
| "lines": 171, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 8361 | |
| }, | |
| { | |
| "path": "nnunetv2/run/load_pretrained_weights.py", | |
| "sha256": "47012faae9240228240500ecffe46de9d0b8b0d6f3d384591664bf968e3ff8a1", | |
| "language": "Python", | |
| "lines": 73, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 7024 | |
| }, | |
| { | |
| "path": "nnunetv2/run/run_training.py", | |
| "sha256": "29be2749495bc4aacb0223c1db4433295baa9d8981a4d13b60db8f7d3523d8d5", | |
| "language": "Python", | |
| "lines": 351, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 9247 | |
| }, | |
| { | |
| "path": "nnunetv2/run/run_training_from_pretrained.py", | |
| "sha256": "8a5847c247b78aee9eaa0cc1858843ac279ab720a2a6bcb63fe96b4189d9d3cf", | |
| "language": "Python", | |
| "lines": 252, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 8564 | |
| }, | |
| { | |
| "path": "nnunetv2/tests/integration_tests/add_lowres_and_cascade.py", | |
| "sha256": "5247c6d965b919e11398bf06d393043276b76535669402d266cd87b159df3042", | |
| "language": "Python", | |
| "lines": 42, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 6338 | |
| }, | |
| { | |
| "path": "nnunetv2/tests/integration_tests/cleanup_integration_test.py", | |
| "sha256": "05294b36b4c9524209b1f8583db909fbe1bcd547bcd0419bb7d90f36d034b6e9", | |
| "language": "Python", | |
| "lines": 18, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 5488 | |
| }, | |
| { | |
| "path": "nnunetv2/tests/integration_tests/lsf_commands.sh", | |
| "sha256": "9b23242ed31e56c2b50b589be48c08008f2292f5863f8e78802d6bb637e16d37", | |
| "language": "Shell", | |
| "lines": 10, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 11670 | |
| }, | |
| { | |
| "path": "nnunetv2/tests/integration_tests/prepare_integration_tests.sh", | |
| "sha256": "9ee91888287f3c1caa662c9c2332dcc8e80d4b0d984e4981ce445dae4b56b5c4", | |
| "language": "Shell", | |
| "lines": 18, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 11502 | |
| }, | |
| { | |
| "path": "nnunetv2/tests/integration_tests/run_integration_test.sh", | |
| "sha256": "778b9fb65049c20745921996bd11195ed58b2f26d67d95aff32413d1f7b88453", | |
| "language": "Shell", | |
| "lines": 27, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 11630 | |
| }, | |
| { | |
| "path": "nnunetv2/tests/integration_tests/run_integration_test_bestconfig_inference.py", | |
| "sha256": "acfbfba79a943003d1d40b0c140f2790b17948dcac2f4cb322a43f253d93609e", | |
| "language": "Python", | |
| "lines": 75, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 7223 | |
| }, | |
| { | |
| "path": "nnunetv2/tests/integration_tests/run_integration_test_trainingOnly_DDP.sh", | |
| "sha256": "99494db232e67bf1ef81046125863228612151df87c3221cad0372679e294f2a", | |
| "language": "Shell", | |
| "lines": 1, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 11108 | |
| }, | |
| { | |
| "path": "nnunetv2/tests/integration_tests/run_nnunet_inference.py", | |
| "sha256": "9f1eb418c303e55113653273f2ffbb76f3caae0bfa837186f1475e33f2599848", | |
| "language": "Python", | |
| "lines": 46, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 6154 | |
| }, | |
| { | |
| "path": "nnunetv2/tests/test_copy_file_if_newer.py", | |
| "sha256": "c540f7e0b7d7684910596a749c85c5395be45eca2c7943ed4346d6b948f745ad", | |
| "language": "Python", | |
| "lines": 53, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 6404 | |
| }, | |
| { | |
| "path": "nnunetv2/tests/test_find_objects.py", | |
| "sha256": "c77d1e98f183ce4a77d56217735e01c0f2f78123d4e42c05e7bc076ddbc54601", | |
| "language": "Python", | |
| "lines": 140, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 7450 | |
| }, | |
| { | |
| "path": "nnunetv2/tests/test_foreground_locations.py", | |
| "sha256": "2fbb147c4e30e8265c4ee57704ac962202574bfc9eb96968e444e935b8dbb1f3", | |
| "language": "Python", | |
| "lines": 521, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 9518 | |
| }, | |
| { | |
| "path": "nnunetv2/tests/test_natural_image_tiff_compression.py", | |
| "sha256": "db32cb05814482a6b8747f1f1c5c0a038b349bc7fef8910a8ca5bc331b7c608c", | |
| "language": "Python", | |
| "lines": 148, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 7770 | |
| }, | |
| { | |
| "path": "nnunetv2/tests/test_paths.py", | |
| "sha256": "14c55695ec3c102e0f1e87688d97583cbc90067b5a5bf1ce2704d08f3d0648e1", | |
| "language": "Python", | |
| "lines": 45, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 6251 | |
| }, | |
| { | |
| "path": "nnunetv2/tests/test_resampling.py", | |
| "sha256": "4c0f6a847d5709f5b306000e017725d384ea66b3034b96da4f2da3000711d414", | |
| "language": "Python", | |
| "lines": 273, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 9039 | |
| }, | |
| { | |
| "path": "nnunetv2/training/data_augmentation/compute_initial_patch_size.py", | |
| "sha256": "4da8a4fbb4db5bd5a428a596793c0bd685d360ec8b24bd4be7495fda59352e9f", | |
| "language": "Python", | |
| "lines": 24, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 5807 | |
| }, | |
| { | |
| "path": "nnunetv2/training/data_augmentation/custom_transforms/cascade_transforms.py", | |
| "sha256": "246f051c507492f6861ae505535b13fa1e2172f13e4407364212df2c8d8ae2e7", | |
| "language": "Python", | |
| "lines": 136, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 8024 | |
| }, | |
| { | |
| "path": "nnunetv2/training/data_augmentation/custom_transforms/deep_supervision_donwsampling.py", | |
| "sha256": "f2f85b8a092e4fee07b1c6763dd44566592a1a780a74cec20f7e877fb1d4ba9b", | |
| "language": "Python", | |
| "lines": 55, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 6577 | |
| }, | |
| { | |
| "path": "nnunetv2/training/data_augmentation/custom_transforms/masking.py", | |
| "sha256": "e0a648d7875ae44c17ffb9af200ab0e1dab263c4f29678075db7a6819a243031", | |
| "language": "Python", | |
| "lines": 22, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 5650 | |
| }, | |
| { | |
| "path": "nnunetv2/training/data_augmentation/custom_transforms/region_based_training.py", | |
| "sha256": "7b0802c0791b8a7e253e1ad1e9ee2cad6c95e8882e56b0b9e556d0d2220db4e6", | |
| "language": "Python", | |
| "lines": 31, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 5918 | |
| }, | |
| { | |
| "path": "nnunetv2/training/data_augmentation/custom_transforms/transforms_for_dummy_2d.py", | |
| "sha256": "63443f7e76981ee4eed59649ab8b6cef09bddd63da8d9ccace5d836afb82532f", | |
| "language": "Python", | |
| "lines": 45, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 6496 | |
| }, | |
| { | |
| "path": "nnunetv2/training/dataloading/data_loader.py", | |
| "sha256": "6f35e60da43c9c7c3aa2fd71c52e451ac898265b6c9b1ccf72f9b90d3b0506e4", | |
| "language": "Python", | |
| "lines": 217, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 8753 | |
| }, | |
| { | |
| "path": "nnunetv2/training/dataloading/foreground_locations.py", | |
| "sha256": "17e6f1d2698d432e3b380d204e1c3a76858e906ca0edcde5be64cf43bca25258", | |
| "language": "Python", | |
| "lines": 586, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 9564 | |
| }, | |
| { | |
| "path": "nnunetv2/training/dataloading/nnunet_dataset.py", | |
| "sha256": "8f9e6123ae83e33ea3a3fc48b8285a6e80eb52b9e90ead19148806d5613d20aa", | |
| "language": "Python", | |
| "lines": 530, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 9314 | |
| }, | |
| { | |
| "path": "nnunetv2/training/dataloading/utils.py", | |
| "sha256": "d6d2518e0092c85605ba6ae5b98f3a11d74d46015988e350ffa6614f56ae42e1", | |
| "language": "Python", | |
| "lines": 71, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 6754 | |
| }, | |
| { | |
| "path": "nnunetv2/training/logging/nnunet_logger.py", | |
| "sha256": "128e720e7fd23b57ffe0279f7b1e45ccaeff5c11aee8d42dfb2ba69750460174", | |
| "language": "Python", | |
| "lines": 303, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 8692 | |
| }, | |
| { | |
| "path": "nnunetv2/training/loss/compound_losses.py", | |
| "sha256": "f7d4516748b62c29bbf281c19ae1ba1f109219820c00ee4fc88ceee651ccb092", | |
| "language": "Python", | |
| "lines": 156, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 7762 | |
| }, | |
| { | |
| "path": "nnunetv2/training/loss/deep_supervision.py", | |
| "sha256": "41fd5993faaf3e482ed370bd2af97b6cb943bb59a92cc48f7712802283325a9d", | |
| "language": "Python", | |
| "lines": 29, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 5945 | |
| }, | |
| { | |
| "path": "nnunetv2/training/loss/dice.py", | |
| "sha256": "cbf124bcfb093516b8066942959a45a1e3bfbcee5b96cc5de369330ee31cdbd2", | |
| "language": "Python", | |
| "lines": 200, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 7999 | |
| }, | |
| { | |
| "path": "nnunetv2/training/loss/robust_ce_loss.py", | |
| "sha256": "d0f74c94846f03d19658c01c429260ca18c0d7bd2fcc59dab61c82d8d588acaa", | |
| "language": "Python", | |
| "lines": 32, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 5805 | |
| }, | |
| { | |
| "path": "nnunetv2/training/lr_scheduler/polylr.py", | |
| "sha256": "29beff3ce0b8b2881012092752255bae0c276a6fb68da9c72643a8e3054ddcf3", | |
| "language": "Python", | |
| "lines": 26, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 5673 | |
| }, | |
| { | |
| "path": "nnunetv2/training/lr_scheduler/warmup.py", | |
| "sha256": "c00817feabd64e46cc22352395f5cb3e6d8db0e4f02887a64369e7864fc17b85", | |
| "language": "Python", | |
| "lines": 143, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 7566 | |
| }, | |
| { | |
| "path": "nnunetv2/training/nnUNetTrainer/nnUNetTrainer.py", | |
| "sha256": "cf93784ed047f38fe17dff33d532337a991e046e082602d5f9c86e2827e4213b", | |
| "language": "Python", | |
| "lines": 1505, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 9843 | |
| }, | |
| { | |
| "path": "nnunetv2/training/nnUNetTrainer/pretraining/dynamicPretrainedTrainer.py", | |
| "sha256": "0aed6248fece3909d1a80728e7b6fea28c67c054d086a2b3036db451f1cbfb53", | |
| "language": "Python", | |
| "lines": 455, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 9415 | |
| }, | |
| { | |
| "path": "nnunetv2/training/nnUNetTrainer/pretraining/pretrainedTrainer.py", | |
| "sha256": "7aca6881b25469b48726c12676fc1059e9c1f3dd5576d31024af13711a0ffa66", | |
| "language": "Python", | |
| "lines": 760, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 9696 | |
| }, | |
| { | |
| "path": "nnunetv2/training/nnUNetTrainer/pretraining/thrp_primusx_finetuning.py", | |
| "sha256": "73939d29546cbc429c06c6e635aa1d98f4e876076096afd64337f7ab5da1020a", | |
| "language": "Python", | |
| "lines": 287, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 8906 | |
| }, | |
| { | |
| "path": "nnunetv2/training/nnUNetTrainer/primus/primus_trainers.py", | |
| "sha256": "b4f7466823002ba6d90c1cd968f6a5c34dc780bdcb0a0c8978f939886de378a0", | |
| "language": "Python", | |
| "lines": 511, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 9184 | |
| }, | |
| { | |
| "path": "nnunetv2/training/nnUNetTrainer/variants/benchmarking/nnUNetTrainerBenchmark_5epochs.py", | |
| "sha256": "41c61c88d8a7db1f3fa175b2287d5682f3d22162556b523844884c757f420154", | |
| "language": "Python", | |
| "lines": 67, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 6755 | |
| }, | |
| { | |
| "path": "nnunetv2/training/nnUNetTrainer/variants/benchmarking/nnUNetTrainerBenchmark_5epochs_noDataLoading.py", | |
| "sha256": "902e6f8731ccb7f420924e6ec6011d953c99ba608ab81f628bca7f3a318c800f", | |
| "language": "Python", | |
| "lines": 68, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 6622 | |
| }, | |
| { | |
| "path": "nnunetv2/training/nnUNetTrainer/variants/competitions/aortaseg24.py", | |
| "sha256": "8f5cbb5d73b1a4c0e1975f29518f205e4850a95639fd295a0ada5d04428a88e1", | |
| "language": "Python", | |
| "lines": 5, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 5232 | |
| }, | |
| { | |
| "path": "nnunetv2/training/nnUNetTrainer/variants/data_augmentation/nnUNetTrainerDA5.py", | |
| "sha256": "a9b9a452a94ed43b959715add5f1b05533d694dd82e8504f00532979b9c1022e", | |
| "language": "Python", | |
| "lines": 390, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 9202 | |
| }, | |
| { | |
| "path": "nnunetv2/training/nnUNetTrainer/variants/data_augmentation/nnUNetTrainerDAOrd0.py", | |
| "sha256": "443741aed64034afb9f24b3922a4a9de8912908580bc31218915b2c3ffa88bd4", | |
| "language": "Python", | |
| "lines": 191, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 8213 | |
| }, | |
| { | |
| "path": "nnunetv2/training/nnUNetTrainer/variants/data_augmentation/nnUNetTrainerNoDA.py", | |
| "sha256": "c7153eba175fe9869de549e9a425d050a05a1b23fd96ec0bbdf792398ff62129", | |
| "language": "Python", | |
| "lines": 34, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 6088 | |
| }, | |
| { | |
| "path": "nnunetv2/training/nnUNetTrainer/variants/data_augmentation/nnUNetTrainerNoMirroring.py", | |
| "sha256": "da1b3da72695cc0984f1899ef450656d60af13b48624e7a5466475e0b8db0817", | |
| "language": "Python", | |
| "lines": 215, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 8396 | |
| }, | |
| { | |
| "path": "nnunetv2/training/nnUNetTrainer/variants/data_augmentation/nnUNetTrainer_noDummy2DDA.py", | |
| "sha256": "c4e18a1bd037263f446a2e8d9316dbc212b1fba08b8437b92cab2f2ebe3207b5", | |
| "language": "Python", | |
| "lines": 35, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 6063 | |
| }, | |
| { | |
| "path": "nnunetv2/training/nnUNetTrainer/variants/loss/nnUNetTrainerCELoss.py", | |
| "sha256": "fa655414f0dd1717e8f34aa4cad186c1a0448e7e706e94cc7a2eb60c3af07ee1", | |
| "language": "Python", | |
| "lines": 40, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 6090 | |
| }, | |
| { | |
| "path": "nnunetv2/training/nnUNetTrainer/variants/loss/nnUNetTrainerDiceLoss.py", | |
| "sha256": "3d02672018525e98772829ab7192c7a127ab7952e38beb2567093a131c71d993", | |
| "language": "Python", | |
| "lines": 59, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 6781 | |
| }, | |
| { | |
| "path": "nnunetv2/training/nnUNetTrainer/variants/loss/nnUNetTrainerTopkLoss.py", | |
| "sha256": "80f3b9684439165f4e5b3356ce554dedcfb2a3c2ccccd1e201f6460f3029cd78", | |
| "language": "Python", | |
| "lines": 76, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 6956 | |
| }, | |
| { | |
| "path": "nnunetv2/training/nnUNetTrainer/variants/lr_schedule/nnUNetTrainerCosAnneal.py", | |
| "sha256": "290980ec3e057d5dc7556c39601482bc9d3fd55645219a0cc6b1fe32ed892121", | |
| "language": "Python", | |
| "lines": 12, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 5403 | |
| }, | |
| { | |
| "path": "nnunetv2/training/nnUNetTrainer/variants/lr_schedule/nnUNetTrainer_warmup.py", | |
| "sha256": "f3a97864619a42b07d50fd4fb29afcb00a31a143ee181d21440364454dd4ac59", | |
| "language": "Python", | |
| "lines": 128, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 7629 | |
| }, | |
| { | |
| "path": "nnunetv2/training/nnUNetTrainer/variants/network_architecture/nnUNetTrainerBN.py", | |
| "sha256": "4ba005ed047c5ddb8063402bb64f904aa50cb3ed4c7802d8dcd18fd4adeba278", | |
| "language": "Python", | |
| "lines": 29, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 6073 | |
| }, | |
| { | |
| "path": "nnunetv2/training/nnUNetTrainer/variants/network_architecture/nnUNetTrainerNoDeepSupervision.py", | |
| "sha256": "d89f051248ff58f3af7e5e9a4456751949d89d08c710f9e4722e0bead890d564", | |
| "language": "Python", | |
| "lines": 15, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 5359 | |
| }, | |
| { | |
| "path": "nnunetv2/training/nnUNetTrainer/variants/optimizer/nnUNetTrainerAdam.py", | |
| "sha256": "49bb9d187be938d949d7cae3d51a95f4df22ab0c730156c98a3bb283bab42069", | |
| "language": "Python", | |
| "lines": 58, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 6626 | |
| }, | |
| { | |
| "path": "nnunetv2/training/nnUNetTrainer/variants/optimizer/nnUNetTrainerAdan.py", | |
| "sha256": "2b40ee67ce646a73a17f50f091243754253914934de1e10a5e4c0d1274f47967", | |
| "language": "Python", | |
| "lines": 65, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 6793 | |
| }, | |
| { | |
| "path": "nnunetv2/training/nnUNetTrainer/variants/sampling/nnUNetTrainer_probabilisticOversampling.py", | |
| "sha256": "4e06397f1f90cf35bdef04e6c647db81989bf02450333fff3ca0dcc7ffc28051", | |
| "language": "Python", | |
| "lines": 57, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 6904 | |
| }, | |
| { | |
| "path": "nnunetv2/training/nnUNetTrainer/variants/training_length/nnUNetTrainer_Xepochs.py", | |
| "sha256": "dc1a146aee18adb226b5d5424f896af0f283990020b654be0fbbd003244f6fb9", | |
| "language": "Python", | |
| "lines": 98, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 7204 | |
| }, | |
| { | |
| "path": "nnunetv2/training/nnUNetTrainer/variants/training_length/nnUNetTrainer_Xepochs_NoMirroring.py", | |
| "sha256": "a96bd2ab5b4a924823f963f4dc93ad2fd15550c88510c2ef1ce0f55c5ce9cb37", | |
| "language": "Python", | |
| "lines": 59, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 6737 | |
| }, | |
| { | |
| "path": "nnunetv2/utilities/collate_outputs.py", | |
| "sha256": "e19ee6aaa78037e7d71c6d1d877ca9f3735c5c0129ef6ab5fc51cb59d46d9bb3", | |
| "language": "Python", | |
| "lines": 24, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 5657 | |
| }, | |
| { | |
| "path": "nnunetv2/utilities/crossval_split.py", | |
| "sha256": "2fcd9e124407c9782d155fe7254fa2c1eaadf6204db92d3461ed193f0def5728", | |
| "language": "Python", | |
| "lines": 16, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 5466 | |
| }, | |
| { | |
| "path": "nnunetv2/utilities/dataset_name_id_conversion.py", | |
| "sha256": "e89daed8a548b704575c11f298cafab34f74e8edde1b448223d2dcb5662476da", | |
| "language": "Python", | |
| "lines": 75, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 7137 | |
| }, | |
| { | |
| "path": "nnunetv2/utilities/ddp.py", | |
| "sha256": "86ccbb7f7506edd7857a06277e8bc4a859822f398c6ad8f64f6c81ca6d048e7c", | |
| "language": "Python", | |
| "lines": 105, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 7442 | |
| }, | |
| { | |
| "path": "nnunetv2/utilities/ddp_allgather.py", | |
| "sha256": "d855405eba9a613896f3c4b86a81a6d5af02e5e89727ce771b69dd9d3ec79390", | |
| "language": "Python", | |
| "lines": 53, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 6462 | |
| }, | |
| { | |
| "path": "nnunetv2/utilities/default_n_proc_DA.py", | |
| "sha256": "24eab4780983dc83280391bb6e47ecf08a3a7dde7aa47ec697e1b845b5ae469f", | |
| "language": "Python", | |
| "lines": 50, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 6328 | |
| }, | |
| { | |
| "path": "nnunetv2/utilities/file_path_utilities.py", | |
| "sha256": "ef777663f5667a49375c0ab805e0ebca4bdd75e90f6ba326a44306017f713fc2", | |
| "language": "Python", | |
| "lines": 132, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 7692 | |
| }, | |
| { | |
| "path": "nnunetv2/utilities/find_class_by_name.py", | |
| "sha256": "d4f56c8229b8ffa483dc5d4d75fe60afb26d23fcb413d3c60ec792279bd204e0", | |
| "language": "Python", | |
| "lines": 174, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 7681 | |
| }, | |
| { | |
| "path": "nnunetv2/utilities/find_objects.py", | |
| "sha256": "c3ef225e25f53b55d53f58abb26d172e61b0c77d2023e56039f623d3880af369", | |
| "language": "Python", | |
| "lines": 56, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 6514 | |
| }, | |
| { | |
| "path": "nnunetv2/utilities/get_network_from_plans.py", | |
| "sha256": "b8512a9c4862c291fc855609d9fcccd8f71e17c62ac08062fa15df80ea20db84", | |
| "language": "Python", | |
| "lines": 91, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 7035 | |
| }, | |
| { | |
| "path": "nnunetv2/utilities/get_network_via_name.py", | |
| "sha256": "3aa0b022359a32a4b294f1a0f96318c5dcc2ad329db16cc25f1b6b359b053693", | |
| "language": "Python", | |
| "lines": 89, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 6820 | |
| }, | |
| { | |
| "path": "nnunetv2/utilities/helpers.py", | |
| "sha256": "b59a9b71a328b9ab09fcfd2db4903b6145130be6d2d8ded5cefa3c2fbc05e83b", | |
| "language": "Python", | |
| "lines": 27, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 5416 | |
| }, | |
| { | |
| "path": "nnunetv2/utilities/json_export.py", | |
| "sha256": "886b79058e166e7f49903f19deee0ff8f7eaacbbbf354ce12ed8ef10399f6639", | |
| "language": "Python", | |
| "lines": 60, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 6482 | |
| }, | |
| { | |
| "path": "nnunetv2/utilities/label_handling/label_handling.py", | |
| "sha256": "c0b6c9df360c4b1ef80e0dc8117d8f098036d7447aaab3034adf154c091e3e19", | |
| "language": "Python", | |
| "lines": 351, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 9132 | |
| }, | |
| { | |
| "path": "nnunetv2/utilities/load_weights_utils.py", | |
| "sha256": "40e01cc50ebaee752696ee16eb30a7907594052533e29627a7d8d0a6869c8161", | |
| "language": "Python", | |
| "lines": 252, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 8634 | |
| }, | |
| { | |
| "path": "nnunetv2/utilities/network_initialization.py", | |
| "sha256": "32a938610ffe927e6ec9434fa876042b15587c6ca4d849ba097e3d11b32e68c1", | |
| "language": "Python", | |
| "lines": 12, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 5398 | |
| }, | |
| { | |
| "path": "nnunetv2/utilities/overlay_plots.py", | |
| "sha256": "84f518aed801db3762911a8c203e52534dba1206bc9b2cad19f064729fb75f43", | |
| "language": "Python", | |
| "lines": 279, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 8761 | |
| }, | |
| { | |
| "path": "nnunetv2/utilities/plans_handling/plans_handler.py", | |
| "sha256": "7b03dc455cf24566688752f7e5a4661643e6ec8c5f93fa61fcba3a9d1d7a89be", | |
| "language": "Python", | |
| "lines": 341, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 9035 | |
| }, | |
| { | |
| "path": "nnunetv2/utilities/pool_utils.py", | |
| "sha256": "15498b5dc6384e52819188131d051149735b6bec724c0930a187354cff756cd9", | |
| "language": "Python", | |
| "lines": 51, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 6618 | |
| }, | |
| { | |
| "path": "nnunetv2/utilities/utils.py", | |
| "sha256": "bb5688579d3675789b7d0cae39601179e774429548e3687e09da119fdde26899", | |
| "language": "Python", | |
| "lines": 76, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 6954 | |
| }, | |
| { | |
| "path": "readme.md", | |
| "sha256": "2e65a0d7eef663398b7e6070a2e4b6f7dfcccd5ef967da8cbc6573c005ecc8e2", | |
| "language": "Text", | |
| "lines": 78, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 11894 | |
| }, | |
| { | |
| "path": "setup.py", | |
| "sha256": "105090a181d2b5356ef8712a44c2a949ab34ce8fbd67e01b5aafb6fb1911a15f", | |
| "language": "Python", | |
| "lines": 4, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 5038 | |
| } | |
| ] | |
| } |