Team Ai
Datasetpublic

OpenScientificCodeRegistry/Database

Open Scientific Code Registry (OSCR): the authors' scripts The code published by the authors of open-access neuroscience papers, as found and verified by Open Scientific Code Registry (OSCR). Each file is here exactly as it is at the source, at the verified commit, under the license of its repository. 421,275 unique files (3,782 MB of text) from 8,849 repositories, in 24 Parquet block(s). Only files whose repository's license allows redistribution, confirmed by the repository's… See the full description on the dataset page: https://huggingface.co/datasets/OpenScientificCodeRegistry/Database.

sourceHugging Faceotherupdated 2d agoView on Hugging Face
0likes5.6kdownloads
github.com__spinalcordtoolbox__spinalcordtoolbox.json1875 linesDownload Raw Back to 89
1{2 "format": "oscr-script-manifest/1",3 "repository": "github.com/spinalcordtoolbox/spinalcordtoolbox",4 "url": "https://github.com/spinalcordtoolbox/spinalcordtoolbox/releases/tag/6.2",5 "host": "github.com",6 "commit": "aa971162e6639b25401a6a0790198d86a3fdc48d",7 "license": "LGPL-3.0",8 "license_confirmed_by": "license file LICENSE",9 "redistribution": "yes",10 "files": [11  {12   "path": ".ci.sh",13   "sha256": "cd2de6553a5c31483c2db3734ad424297009e29ba4000ba955e8b55c77c40b72",14   "language": "Shell",15   "lines": 71,16   "truncated": false,17   "block": 21,18   "row": 250919  },20  {21   "path": ".github/workflows/check-broken-links.sh",22   "sha256": "9cff7ca7f455208ca7e68792910b3662086142b060d2f2a105d318560351e64b",23   "language": "Shell",24   "lines": 34,25   "truncated": false,26   "block": 21,27   "row": 238428  },29  {30   "path": ".github/workflows/check-url.sh",31   "sha256": "9d0cd0a5134b89271b4bf60be72e1c1383e1ef9d35361ce8936841f4cdd34031",32   "language": "Shell",33   "lines": 137,34   "truncated": false,35   "block": 21,36   "row": 274037  },38  {39   "path": ".github/workflows/extract_commands.py",40   "sha256": "50d899a4a48d7dee56a593390b5d0a4958dc0bcb8b81ced8161a44f11a69b1f7",41   "language": "Python",42   "lines": 230,43   "truncated": false,44   "block": 20,45   "row": 1968646  },47  {48   "path": ".github/workflows/scripts/split_batch_single_subject.py",49   "sha256": "57ffadf10524e87242c0b5fba5c8d48dfc5433ff02aa2d88899dae9e923ec869",50   "language": "Python",51   "lines": 298,52   "truncated": false,53   "block": 20,54   "row": 2069255  },56  {57   "path": ".github/workflows/sct_tutorial_data/multi_subject/sample_usage.sh",58   "sha256": "eec889836194a8ee5a3ab0107baa35ef3da4141b8ff6a79613cecd237b5399b1",59   "language": "Shell",60   "lines": 14,61   "truncated": false,62   "block": 21,63   "row": 207564  },65  {66   "path": "LICENSE",67   "sha256": "e3a994d82e644b03a792a930f574002658412f62407f5fee083f2555c5f23118",68   "language": "License",69   "lines": 165,70   "truncated": false,71   "block": 3,72   "row": 813773  },74  {75   "path": "README.rst",76   "sha256": "c6b8ff6a1300a1ae1def7b63f8c5ad3e9b970ea96983ce5a2c688b897b77377f",77   "language": "Text",78   "lines": 145,79   "truncated": false,80   "block": 21,81   "row": 319082  },83  {84   "path": "batch_single_subject.sh",85   "sha256": "c2514a3897fb2b9e5fbf497bfbb4136946c0f11267e308d5ded19586e88725fb",86   "language": "Shell",87   "lines": 588,88   "truncated": false,89   "block": 21,90   "row": 279291  },92  {93   "path": "contrib/fsl_integration/sct_fsleyes_script.py",94   "sha256": "ce53252b1a777946471b742a32a5f07e5bf02b7335e5a9da21241009ac69a661",95   "language": "Python",96   "lines": 874,97   "truncated": false,98   "block": 21,99   "row": 157100  },101  {102   "path": "contrib/fslhd.py",103   "sha256": "21292b8b5cd12a9eb5c388a53142458079e07be6c01b3641f16b55bf687c3466",104   "language": "Python",105   "lines": 300,106   "truncated": false,107   "block": 20,108   "row": 20587109  },110  {111   "path": "contrib/tensorflow/lazy_loader.py",112   "sha256": "aee1c288a5a60a0c5df64b9e35f4c755f9c524c8caa4a010893e38dcf3c5b31d",113   "language": "Python",114   "lines": 88,115   "truncated": false,116   "block": 20,117   "row": 17655118  },119  {120   "path": "documentation/source/conf.py",121   "sha256": "5c22174b21a1db83d85d87f59bb225c82f1e4f0295942937cc627bc483d3fa4d",122   "language": "Python",123   "lines": 234,124   "truncated": false,125   "block": 20,126   "row": 19613127  },128  {129   "path": "setup.py",130   "sha256": "6f36a97285f6385eb656be3152c2aad3511b217b53aa078e74c707e901fd7b24",131   "language": "Python",132   "lines": 121,133   "truncated": false,134   "block": 20,135   "row": 17832136  },137  {138   "path": "spinalcordtoolbox/aggregate_slicewise.py",139   "sha256": "b20ef0b6d058f9c1f50ff60fa7f2cfd33e33496aa79b3391809f040ee848d8f1",140   "language": "Python",141   "lines": 637,142   "truncated": false,143   "block": 20,144   "row": 22085145  },146  {147   "path": "spinalcordtoolbox/centerline/core.py",148   "sha256": "928dd2675496e95c595d8641dd283dc364e475b6d7c86c22f7989628adaf2f6c",149   "language": "Python",150   "lines": 334,151   "truncated": false,152   "block": 20,153   "row": 21324154  },155  {156   "path": "spinalcordtoolbox/centerline/curve_fitting.py",157   "sha256": "87cd4c8d04addc85e7deef83628afb390360ef985b91c64f82fdc4e5c627c9b1",158   "language": "Python",159   "lines": 143,160   "truncated": false,161   "block": 20,162   "row": 18218163  },164  {165   "path": "spinalcordtoolbox/centerline/nurbs.py",166   "sha256": "cb0a5b8beabcc589bfd9ed133c27b3a8d8b8019f5205ba60e7c33dfe7a86b27e",167   "language": "Python",168   "lines": 1062,169   "truncated": false,170   "block": 21,171   "row": 309172  },173  {174   "path": "spinalcordtoolbox/centerline/optic.py",175   "sha256": "b7bb55a7ec7dd7079813cd1460a2b4b49bd0056bf2aa6a78f6d3ea603fb97c92",176   "language": "Python",177   "lines": 138,178   "truncated": false,179   "block": 20,180   "row": 18258181  },182  {183   "path": "spinalcordtoolbox/compat/launcher.py",184   "sha256": "70005485fac8dc36add36255bc48b057e336f75d5e064847efbe216230ff74e4",185   "language": "Python",186   "lines": 69,187   "truncated": false,188   "block": 20,189   "row": 16560190  },191  {192   "path": "spinalcordtoolbox/cropping.py",193   "sha256": "e15cb8dcc8ae10acf09eff3409a1513fd93a2ea3e2942883a2587cbbe03bfc7f",194   "language": "Python",195   "lines": 170,196   "truncated": false,197   "block": 20,198   "row": 19366199  },200  {201   "path": "spinalcordtoolbox/csa_pmj.py",202   "sha256": "736d27a33874d2e55a69d65389ba78bb1b0eb9d48ac29bbdd74e96f70160db3c",203   "language": "Python",204   "lines": 101,205   "truncated": false,206   "block": 20,207   "row": 18336208  },209  {210   "path": "spinalcordtoolbox/deepseg/inference.py",211   "sha256": "96a57dfa7fc7d73b385bdcb843bb3692c22afee0f68f1914fd9c622a18b8d8b4",212   "language": "Python",213   "lines": 504,214   "truncated": false,215   "block": 20,216   "row": 21966217  },218  {219   "path": "spinalcordtoolbox/deepseg/models.py",220   "sha256": "f5757068361b30bfbe2ee93af8228718fcafe24708e648dc3bb333fff8f860db",221   "language": "Python",222   "lines": 1117,223   "truncated": false,224   "block": 21,225   "row": 435226  },227  {228   "path": "spinalcordtoolbox/deepseg/monai.py",229   "sha256": "fc485ea942958bd34baaa26073895d4fd5451f5c2f04c5cda9c6a7f3817f6ec2",230   "language": "Python",231   "lines": 202,232   "truncated": false,233   "block": 20,234   "row": 19584235  },236  {237   "path": "spinalcordtoolbox/deepseg/nnunet.py",238   "sha256": "c38be3fef3563c0f1581961d16d65d5572fc314a844fd237944f37500a42eeed",239   "language": "Python",240   "lines": 92,241   "truncated": false,242   "block": 20,243   "row": 17807244  },245  {246   "path": "spinalcordtoolbox/deepseg_/gm.py",247   "sha256": "70c375c35e07b67885a6340089a48c8c808bae0d8bbdb6cbea0872c2e71cc2b7",248   "language": "Python",249   "lines": 284,250   "truncated": false,251   "block": 20,252   "row": 20188253  },254  {255   "path": "spinalcordtoolbox/deepseg_/lesion.py",256   "sha256": "d9413e3336fe444c96994778180c7682243b1aaf29689f4e1c2bb884626ea45d",257   "language": "Python",258   "lines": 270,259   "truncated": false,260   "block": 20,261   "row": 20597262  },263  {264   "path": "spinalcordtoolbox/deepseg_/onnx.py",265   "sha256": "3fea0ff95fa9aadea9b8341bc5f8f4d8b9d35b2565db542d4fdf546df55c42ac",266   "language": "Python",267   "lines": 24,268   "truncated": false,269   "block": 20,270   "row": 14083271  },272  {273   "path": "spinalcordtoolbox/deepseg_/postprocessing.py",274   "sha256": "78229aa9c69112ba2720ba9219c2813bf4725484d13ac870e06072484399031a",275   "language": "Python",276   "lines": 206,277   "truncated": false,278   "block": 20,279   "row": 19711280  },281  {282   "path": "spinalcordtoolbox/deepseg_/sc.py",283   "sha256": "729674805770a73540d938635d9e1c80f660abe43ccf2c3483d89849c6f69533",284   "language": "Python",285   "lines": 563,286   "truncated": false,287   "block": 20,288   "row": 21900289  },290  {291   "path": "spinalcordtoolbox/download.py",292   "sha256": "e8088ceb6fb47fe680edb1c6420721d682878bbb9f80206cca240f7e011a66c5",293   "language": "Python",294   "lines": 422,295   "truncated": false,296   "block": 20,297   "row": 21247298  },299  {300   "path": "spinalcordtoolbox/flattening.py",301   "sha256": "1086220bddea554fe937fcf877f0b81ea97baf8e1f6c5bd9d3da00179befd071",302   "language": "Python",303   "lines": 85,304   "truncated": false,305   "block": 20,306   "row": 17667307  },308  {309   "path": "spinalcordtoolbox/gui/base.py",310   "sha256": "a86418fa57af85ef497375e66194301b415c4a902c9f1dcceb8964cda10fa03d",311   "language": "Python",312   "lines": 411,313   "truncated": false,314   "block": 20,315   "row": 20829316  },317  {318   "path": "spinalcordtoolbox/gui/centerline.py",319   "sha256": "2df6b12baafa552a9e54ba2c895084f9c58a7b7ab0b5736aa7363feea530f7f1",320   "language": "Python",321   "lines": 308,322   "truncated": false,323   "block": 20,324   "row": 20448325  },326  {327   "path": "spinalcordtoolbox/gui/sagittal.py",328   "sha256": "3b49f9f9d357ef4ca7efb092479ec72c70e30fee8f995d04287df1ff799770d9",329   "language": "Python",330   "lines": 112,331   "truncated": false,332   "block": 20,333   "row": 17589334  },335  {336   "path": "spinalcordtoolbox/gui/widgets.py",337   "sha256": "83d0024668835a1e2f37c014f60ff58dffffe82bc8589dfbb176dd6213844aba",338   "language": "Python",339   "lines": 393,340   "truncated": false,341   "block": 20,342   "row": 21030343  },344  {345   "path": "spinalcordtoolbox/image.py",346   "sha256": "5592a1259139d2cb0db6c21536a2a15cce48ff3e447f0e14d07c6c8cb9995400",347   "language": "Python",348   "lines": 1964,349   "truncated": false,350   "block": 21,351   "row": 477352  },353  {354   "path": "spinalcordtoolbox/labels.py",355   "sha256": "55b9c7acd292a12e6d231d53526b2bab4cccb940bd88616b832c04da1e771ee3",356   "language": "Python",357   "lines": 540,358   "truncated": false,359   "block": 20,360   "row": 21701361  },362  {363   "path": "spinalcordtoolbox/math.py",364   "sha256": "7163f91b431c632dc53dbf5716e514c32485c8eed737b1e3a98fecc176823fba",365   "language": "Python",366   "lines": 524,367   "truncated": false,368   "block": 20,369   "row": 21580370  },371  {372   "path": "spinalcordtoolbox/metadata.py",373   "sha256": "4d72421645e22ffcb63ff5ad9aa7302bfc616b7633564d04d7f9c5e54360ea89",374   "language": "Python",375   "lines": 238,376   "truncated": false,377   "block": 20,378   "row": 19829379  },380  {381   "path": "spinalcordtoolbox/metrics_to_PAM50.py",382   "sha256": "f1ba80f953a9498f04d15850243fd6eff347b93e23e0c2afc3937f0bb7175d15",383   "language": "Python",384   "lines": 132,385   "truncated": false,386   "block": 20,387   "row": 19459388  },389  {390   "path": "spinalcordtoolbox/moco/dl/inference.py",391   "sha256": "a613f9069176732798552541f18ec4ea1d2ceb011a4304d7995fa70fd9e6db9a",392   "language": "Python",393   "lines": 254,394   "truncated": false,395   "block": 20,396   "row": 20382397  },398  {399   "path": "spinalcordtoolbox/moco/dl/model.py",400   "sha256": "35458891dbd3dfb4bc76518de5949dbd50e4966fbc2af63176e744ec7550f475",401   "language": "Python",402   "lines": 205,403   "truncated": false,404   "block": 20,405   "row": 19239406  },407  {408   "path": "spinalcordtoolbox/moco/moco.py",409   "sha256": "1c4f4bde9617f6f1a9b210a97b1a5093aab8e2bb13b3267f59123e1edf611fe1",410   "language": "Python",411   "lines": 951,412   "truncated": false,413   "block": 21,414   "row": 290415  },416  {417   "path": "spinalcordtoolbox/process_seg.py",418   "sha256": "f13068faad31941e3f2de05754eb40130ac1c7afa793a2a2558485d614ed0076",419   "language": "Python",420   "lines": 663,421   "truncated": false,422   "block": 21,423   "row": 154424  },425  {426   "path": "spinalcordtoolbox/process_seg_debug.py",427   "sha256": "f68a13f05cb7d529e6f9ca19a2cc51022bf1292631e39e29e5af5a72e1c6719c",428   "language": "Python",429   "lines": 321,430   "truncated": false,431   "block": 20,432   "row": 21293433  },434  {435   "path": "spinalcordtoolbox/qmri/flow.py",436   "sha256": "601a2ed4b17a19fb12a4fa22863e4f0cab18d951073967a9706806be6539ca9b",437   "language": "Python",438   "lines": 57,439   "truncated": false,440   "block": 20,441   "row": 16174442  },443  {444   "path": "spinalcordtoolbox/qmri/mt.py",445   "sha256": "cf63843bf86127ff86228558ea40f4f93f26bba3a495ff95e1b0a7780cbc3a45",446   "language": "Python",447   "lines": 159,448   "truncated": false,449   "block": 20,450   "row": 19000451  },452  {453   "path": "spinalcordtoolbox/registration/algorithms.py",454   "sha256": "5a9fbbf61fbb5850be9fbd692588d315406574959503af71d249ee3ea2dafa1f",455   "language": "Python",456   "lines": 1683,457   "truncated": false,458   "block": 21,459   "row": 474460  },461  {462   "path": "spinalcordtoolbox/registration/core.py",463   "sha256": "0f4bcb3c26cebb63fc2600430f6fd39f667fe7f0f4b217bdacf6369add13cd55",464   "language": "Python",465   "lines": 463,466   "truncated": false,467   "block": 20,468   "row": 21505469  },470  {471   "path": "spinalcordtoolbox/registration/labeling.py",472   "sha256": "293734b66cfcb311228d5b9f17f5e3aab69744dcdc8e63e424f2158d68546bcc",473   "language": "Python",474   "lines": 160,475   "truncated": false,476   "block": 20,477   "row": 19473478  },479  {480   "path": "spinalcordtoolbox/registration/landmarks.py",481   "sha256": "9a7efd2f0c33b05e3eaf494aed7289e6bec24bd12d39ff6c552c5a59bd212a1d",482   "language": "Python",483   "lines": 327,484   "truncated": false,485   "block": 20,486   "row": 21026487  },488  {489   "path": "spinalcordtoolbox/reports/assets/js/datasets.js",490   "sha256": "d52957c16bdb2f95bc4f2f371b405b2655931b2729ae3a0404cf3f4fa902a110",491   "language": "JavaScript",492   "lines": 6,493   "truncated": false,494   "block": 20,495   "row": 5137496  },497  {498   "path": "spinalcordtoolbox/reports/assets/py/refresh_qc_entries.py",499   "sha256": "e015df2f56df843eb138e3aee4d79bacbf270d9a3f22c420abc2123d902b0dba",500   "language": "Python",501   "lines": 67,502   "truncated": false,503   "block": 20,504   "row": 16067505  },506  {507   "path": "spinalcordtoolbox/reports/qc.py",508   "sha256": "8d6ef9399fcd6fc37baee27f782819a13459803307f4b8d209c1c8215d49ed64",509   "language": "Python",510   "lines": 525,511   "truncated": false,512   "block": 20,513   "row": 21870514  },515  {516   "path": "spinalcordtoolbox/reports/qc2.py",517   "sha256": "92c468d33204b62e57a490366d68b0c54d37e9e015de1be319dd78eea6c0b243",518   "language": "Python",519   "lines": 2486,520   "truncated": false,521   "block": 21,522   "row": 516523  },524  {525   "path": "spinalcordtoolbox/reports/slice.py",526   "sha256": "29c4a1c998f0d24fde4713855d755fa0386c355a641c6bac9f85928002ec1859",527   "language": "Python",528   "lines": 406,529   "truncated": false,530   "block": 20,531   "row": 21325532  },533  {534   "path": "spinalcordtoolbox/resampling.py",535   "sha256": "6a71d26afa5b15573caae4c2f2a321f356add9612f5f97f4a4d2f5cb85f0234e",536   "language": "Python",537   "lines": 201,538   "truncated": false,539   "block": 20,540   "row": 19943541  },542  {543   "path": "spinalcordtoolbox/scripts/sct_analyze_lesion.py",544   "sha256": "d1189d5769c0224e893ce2f70104150cdb61b82078734414bea7af5e84c931f2",545   "language": "Python",546   "lines": 1510,547   "truncated": false,548   "block": 21,549   "row": 487550  },551  {552   "path": "spinalcordtoolbox/scripts/sct_analyze_texture.py",553   "sha256": "d47c617bc7a221c5acd975c58265e2161e3c559a840abae74f4a058e4aa6f4d2",554   "language": "Python",555   "lines": 333,556   "truncated": false,557   "block": 20,558   "row": 20928559  },560  {561   "path": "spinalcordtoolbox/scripts/sct_apply_transfo.py",562   "sha256": "334ca739b0ed49d7e9617ac190af56d1e72ac6b323dae36982242a1527044a51",563   "language": "Python",564   "lines": 383,565   "truncated": false,566   "block": 20,567   "row": 21351568  },569  {570   "path": "spinalcordtoolbox/scripts/sct_check_dependencies.py",571   "sha256": "5f74023587334f85b0f06ff089d6bc71e34e0dbe44bfa3f71371a086842c3442",572   "language": "Python",573   "lines": 467,574   "truncated": false,575   "block": 20,576   "row": 21417577  },578  {579   "path": "spinalcordtoolbox/scripts/sct_compute_ascor.py",580   "sha256": "476576655cf085a6f488a5b5f14d67a4030e2ffec8b4f6bf48a8d75c3b11a045",581   "language": "Python",582   "lines": 149,583   "truncated": false,584   "block": 20,585   "row": 19258586  },587  {588   "path": "spinalcordtoolbox/scripts/sct_compute_compression.py",589   "sha256": "04ae0c2a0d7ff81531e0fd3521723125e76ebc4bdc6f578c59272555cfe133c9",590   "language": "Python",591   "lines": 757,592   "truncated": false,593   "block": 21,594   "row": 232595  },596  {597   "path": "spinalcordtoolbox/scripts/sct_compute_ernst_angle.py",598   "sha256": "b1241312af06ed3ebdef4b79216d98840973b95db6ef8e82eedbf4560122fcbc",599   "language": "Python",600   "lines": 148,601   "truncated": false,602   "block": 20,603   "row": 18181604  },605  {606   "path": "spinalcordtoolbox/scripts/sct_compute_flow.py",607   "sha256": "7d2d351c0e3cc0253f98470254be2f665da0851f433c7d3c6285afa1ed3b1ce1",608   "language": "Python",609   "lines": 96,610   "truncated": false,611   "block": 20,612   "row": 16603613  },614  {615   "path": "spinalcordtoolbox/scripts/sct_compute_hausdorff_distance.py",616   "sha256": "c7f388ca77b7ae6c8603ad2657c80941559f4286ff3faabb6a186563c042397e",617   "language": "Python",618   "lines": 557,619   "truncated": false,620   "block": 20,621   "row": 21887622  },623  {624   "path": "spinalcordtoolbox/scripts/sct_compute_mtr.py",625   "sha256": "57c0d28be52e7dc3da19dc9b789c005079644c94cf39af4987ca49705f58e724",626   "language": "Python",627   "lines": 76,628   "truncated": false,629   "block": 20,630   "row": 15717631  },632  {633   "path": "spinalcordtoolbox/scripts/sct_compute_mtsat.py",634   "sha256": "aa91bed5827b0785227774476aa82bbf10f26413dad95b93401054683f53ce42",635   "language": "Python",636   "lines": 201,637   "truncated": false,638   "block": 20,639   "row": 19149640  },641  {642   "path": "spinalcordtoolbox/scripts/sct_compute_snr.py",643   "sha256": "eca96c42f4f75c1818a34ead79afa85c53c3407d101cddc0186e8735d51ba75a",644   "language": "Python",645   "lines": 268,646   "truncated": false,647   "block": 20,648   "row": 20577649  },650  {651   "path": "spinalcordtoolbox/scripts/sct_concat_transfo.py",652   "sha256": "04997df0a57c7f158b36f3027fdf701a85c7ba0689ea2548fd36e0aedc747918",653   "language": "Python",654   "lines": 152,655   "truncated": false,656   "block": 20,657   "row": 18650658  },659  {660   "path": "spinalcordtoolbox/scripts/sct_convert.py",661   "sha256": "9983415046a40b74a4e1074ce3304b2ac44b0271422f75e10f9853479fd38462",662   "language": "Python",663   "lines": 75,664   "truncated": false,665   "block": 20,666   "row": 15477667  },668  {669   "path": "spinalcordtoolbox/scripts/sct_create_mask.py",670   "sha256": "75e10b01f5c084c2bf40b23431608d785574c671c63dc8378ccb36d3825dccdb",671   "language": "Python",672   "lines": 325,673   "truncated": false,674   "block": 20,675   "row": 20383676  },677  {678   "path": "spinalcordtoolbox/scripts/sct_crop_image.py",679   "sha256": "a360cb38b549bb1fd9feb4a8e5198d46398b415751a25b90527eaa0b625b7525",680   "language": "Python",681   "lines": 203,682   "truncated": false,683   "block": 20,684   "row": 19054685  },686  {687   "path": "spinalcordtoolbox/scripts/sct_deepseg.py",688   "sha256": "25aab82bb5b1f35010185233e17ea176eda0123cbdcf696624aecc06ac27d874",689   "language": "Python",690   "lines": 702,691   "truncated": false,692   "block": 21,693   "row": 164694  },695  {696   "path": "spinalcordtoolbox/scripts/sct_deepseg_gm.py",697   "sha256": "8e17427c1f8919ce0172bc3f39c5359327c444941b722bd63cd1f03c5be314f8",698   "language": "Python",699   "lines": 137,700   "truncated": false,701   "block": 20,702   "row": 18100703  },704  {705   "path": "spinalcordtoolbox/scripts/sct_deepseg_lesion.py",706   "sha256": "512b0deb3bb549158cbcea45d9731b4bc519789ded84d09060adaea26ff3b628",707   "language": "Python",708   "lines": 156,709   "truncated": false,710   "block": 20,711   "row": 18609712  },713  {714   "path": "spinalcordtoolbox/scripts/sct_deepseg_sc.py",715   "sha256": "a9903f7398bc9ab7053c1a3f066413c12a6be8d973f332c8c23a1bd6532f47fb",716   "language": "Python",717   "lines": 211,718   "truncated": false,719   "block": 20,720   "row": 19661721  },722  {723   "path": "spinalcordtoolbox/scripts/sct_denoising_onlm.py",724   "sha256": "95e3d1ed1c139cd2659525b8e67cf7be860d5faed5e4551b304b5e516853419c",725   "language": "Python",726   "lines": 185,727   "truncated": false,728   "block": 20,729   "row": 18938730  },731  {732   "path": "spinalcordtoolbox/scripts/sct_detect_compression.py",733   "sha256": "ba5d98c26c7ba8d849906330ec35ce43f34364c87ba696e89423965dcdc6ed17",734   "language": "Python",735   "lines": 333,736   "truncated": false,737   "block": 20,738   "row": 21222739  },740  {741   "path": "spinalcordtoolbox/scripts/sct_detect_pmj.py",742   "sha256": "d398baeb702218e2709dbc85a70736fb702777c6cbf203f5d2758c0c52b367cc",743   "language": "Python",744   "lines": 342,745   "truncated": false,746   "block": 20,747   "row": 20962748  },749  {750   "path": "spinalcordtoolbox/scripts/sct_dice_coefficient.py",751   "sha256": "5cbe2e9dca6d726ca76f0436c711666fa2270d2ba90cab8fbfb1e3813ec9ac9a",752   "language": "Python",753   "lines": 160,754   "truncated": false,755   "block": 20,756   "row": 18371757  },758  {759   "path": "spinalcordtoolbox/scripts/sct_dmri_compute_bvalue.py",760   "sha256": "9162c6e7c8ddb0fab1e678f05cf05fc2883e7a0a1129c67e76af9fa560d3348c",761   "language": "Python",762   "lines": 83,763   "truncated": false,764   "block": 20,765   "row": 16158766  },767  {768   "path": "spinalcordtoolbox/scripts/sct_dmri_compute_dti.py",769   "sha256": "fe21b25c617a2c1ed221931f0825746989e3745c0fa22afbb345becb9cf2ff0d",770   "language": "Python",771   "lines": 174,772   "truncated": false,773   "block": 20,774   "row": 18400775  },776  {777   "path": "spinalcordtoolbox/scripts/sct_dmri_concat_b0_and_dwi.py",778   "sha256": "ab33c3e5ca5daf8077fff5bddc3fc8ae773495fd15844f7b5eb3e8af35280ecf",779   "language": "Python",780   "lines": 146,781   "truncated": false,782   "block": 20,783   "row": 18144784  },785  {786   "path": "spinalcordtoolbox/scripts/sct_dmri_concat_bvals.py",787   "sha256": "c8b2f1fb9d7f80562e18a33d643253db8bc103d5166eaf736cd60d80919aff77",788   "language": "Python",789   "lines": 74,790   "truncated": false,791   "block": 20,792   "row": 15667793  },794  {795   "path": "spinalcordtoolbox/scripts/sct_dmri_concat_bvecs.py",796   "sha256": "e323c1ee011438f569242f25719c378251873815ff09d9420dcfddbf18a297bf",797   "language": "Python",798   "lines": 79,799   "truncated": false,800   "block": 20,801   "row": 16020802  },803  {804   "path": "spinalcordtoolbox/scripts/sct_dmri_denoise_patch2self.py",805   "sha256": "3e1888c5f8eff3969ee7152bd90846cd0112f76c045eb95202a3c8e2638dca72",806   "language": "Python",807   "lines": 137,808   "truncated": false,809   "block": 20,810   "row": 18374811  },812  {813   "path": "spinalcordtoolbox/scripts/sct_dmri_display_bvecs.py",814   "sha256": "b63d7676564cb9517c5cdb12c752698019b45df0f2bef2b60c8cabc9b7efdcaa",815   "language": "Python",816   "lines": 190,817   "truncated": false,818   "block": 20,819   "row": 19281820  },821  {822   "path": "spinalcordtoolbox/scripts/sct_dmri_moco.py",823   "sha256": "0546d8e856295284002e831a22161f11e87f7adeb938157cba02d48091a7feb7",824   "language": "Python",825   "lines": 264,826   "truncated": false,827   "block": 20,828   "row": 20328829  },830  {831   "path": "spinalcordtoolbox/scripts/sct_dmri_separate_b0_and_dwi.py",832   "sha256": "79a8e86558fb335061812390af58921942705efd555141746b5149c4fcacc59d",833   "language": "Python",834   "lines": 296,835   "truncated": false,836   "block": 20,837   "row": 20081838  },839  {840   "path": "spinalcordtoolbox/scripts/sct_dmri_transpose_bvecs.py",841   "sha256": "843d85939e42a40a41b230a92fdf37cbae4b152b05aa2a5a2e91ec5414bf7c96",842   "language": "Python",843   "lines": 77,844   "truncated": false,845   "block": 20,846   "row": 15756847  },848  {849   "path": "spinalcordtoolbox/scripts/sct_download_data.py",850   "sha256": "a0cd6e71fce811c7dc7ac82aa8fcb975cb0aec12722ed67904c664363b8fd187",851   "language": "Python",852   "lines": 93,853   "truncated": false,854   "block": 20,855   "row": 16967856  },857  {858   "path": "spinalcordtoolbox/scripts/sct_extract_metric.py",859   "sha256": "f9430890040afe5e731fb0906319653c3a90de73f3714d05f581d6e1216b6da5",860   "language": "Python",861   "lines": 428,862   "truncated": false,863   "block": 20,864   "row": 21630865  },866  {867   "path": "spinalcordtoolbox/scripts/sct_flatten_sagittal.py",868   "sha256": "a3ae38b2d4e7b6e9ff11caedf6c9ece8b8acc9b26ad5aa79d45884ad62efc534",869   "language": "Python",870   "lines": 85,871   "truncated": false,872   "block": 20,873   "row": 15983874  },875  {876   "path": "spinalcordtoolbox/scripts/sct_fmri_compute_tsnr.py",877   "sha256": "24f1175e33a9a728f09f2bd57366836e01ac0d977f3bddad489293eaabb69f4a",878   "language": "Python",879   "lines": 181,880   "truncated": false,881   "block": 20,882   "row": 18739883  },884  {885   "path": "spinalcordtoolbox/scripts/sct_fmri_moco.py",886   "sha256": "dcbd0bd6ac6dc58341ff28d02c20371456fa1a2c2f2afb2309943896378693b1",887   "language": "Python",888   "lines": 224,889   "truncated": false,890   "block": 20,891   "row": 19926892  },893  {894   "path": "spinalcordtoolbox/scripts/sct_get_centerline.py",895   "sha256": "2f601b19ac8f834ef775e101f3b8e488ebbdb0db8e7ee234e8bc6058e2458a1e",896   "language": "Python",897   "lines": 233,898   "truncated": false,899   "block": 20,900   "row": 19976901  },902  {903   "path": "spinalcordtoolbox/scripts/sct_image.py",904   "sha256": "28660f96ce6206b4a01f4dd41c19c9a83760c119c4eee7393a27cc028b881ddd",905   "language": "Python",906   "lines": 634,907   "truncated": false,908   "block": 20,909   "row": 22043910  },911  {912   "path": "spinalcordtoolbox/scripts/sct_label_utils.py",913   "sha256": "26db44ce85ca659b5b84aad1e57697cc0f3175ea50b700a5e6b84285f604d8cf",914   "language": "Python",915   "lines": 415,916   "truncated": false,917   "block": 20,918   "row": 21302919  },920  {921   "path": "spinalcordtoolbox/scripts/sct_label_vertebrae.py",922   "sha256": "ab2de5ecbfea62a762252d9718b267f0bb33ef542704b0c8cdf6b41ebb682a2e",923   "language": "Python",924   "lines": 501,925   "truncated": false,926   "block": 20,927   "row": 21719928  },929  {930   "path": "spinalcordtoolbox/scripts/sct_maths.py",931   "sha256": "8a2203a746716d66a10dfcdbab3a2480e8904e0ea54fb91759a27ddec8665191",932   "language": "Python",933   "lines": 671,934   "truncated": false,935   "block": 20,936   "row": 22000937  },938  {939   "path": "spinalcordtoolbox/scripts/sct_merge_images.py",940   "sha256": "3938ee423f3d03bfc66aa2068f6350b3d270ffadf3e02035e3b8896c8574eed9",941   "language": "Python",942   "lines": 192,943   "truncated": false,944   "block": 20,945   "row": 18965946  },947  {948   "path": "spinalcordtoolbox/scripts/sct_process_segmentation.py",949   "sha256": "709e12a012f993a02fe8d66e513c28c5a68f373ff17c83814f1f4f03341d7c77",950   "language": "Python",951   "lines": 693,952   "truncated": false,953   "block": 21,954   "row": 190955  },956  {957   "path": "spinalcordtoolbox/scripts/sct_propseg.py",958   "sha256": "a006bd595cfc78e9e9dc4d8a89c7888a11f5e5455f0591d2d628d0a4c5b215e0",959   "language": "Python",960   "lines": 682,961   "truncated": false,962   "block": 20,963   "row": 22074964  },965  {966   "path": "spinalcordtoolbox/scripts/sct_qc.py",967   "sha256": "fdb19e094a34f5a1a0ea9bae4d4c5a40a182f44737eae1b620bce81b0674cbe4",968   "language": "Python",969   "lines": 173,970   "truncated": false,971   "block": 20,972   "row": 19113973  },974  {975   "path": "spinalcordtoolbox/scripts/sct_register_multimodal.py",976   "sha256": "60a618ac59153b47915e5419ca2c578c6d80c5adb4ed19d52d7b7eb99595dc3e",977   "language": "Python",978   "lines": 435,979   "truncated": false,980   "block": 20,981   "row": 21670982  },983  {984   "path": "spinalcordtoolbox/scripts/sct_register_to_template.py",985   "sha256": "38581136f9c8af7771f38a0346d72d4ce6eeb93623458565fb5bc4f08a25db4a",986   "language": "Python",987   "lines": 863,988   "truncated": false,989   "block": 21,990   "row": 298991  },992  {993   "path": "spinalcordtoolbox/scripts/sct_resample.py",994   "sha256": "2e87d983a33ddec4cb12b964b72c20306b868f60fd6367c0b04d5387e5e16f07",995   "language": "Python",996   "lines": 150,997   "truncated": false,998   "block": 20,999   "row": 180751000  },1001  {1002   "path": "spinalcordtoolbox/scripts/sct_run_batch.py",1003   "sha256": "bd708ad0e0492f04ad557ee871abebf02ef2b44d36082a2c6c9c56622dbf0556",1004   "language": "Python",1005   "lines": 738,1006   "truncated": false,1007   "block": 21,1008   "row": 1841009  },1010  {1011   "path": "spinalcordtoolbox/scripts/sct_smooth_spinalcord.py",1012   "sha256": "c63f8b676d5d76f33cf005ff95b0c6f58ff0238681431cf9541ad7f262139791",1013   "language": "Python",1014   "lines": 274,1015   "truncated": false,1016   "block": 20,1017   "row": 203501018  },1019  {1020   "path": "spinalcordtoolbox/scripts/sct_straighten_spinalcord.py",1021   "sha256": "8570c4c27e4539e7f4c990f14aff24fd758b512a1cc36cb07790a565917d4057",1022   "language": "Python",1023   "lines": 266,1024   "truncated": false,1025   "block": 20,1026   "row": 206721027  },1028  {1029   "path": "spinalcordtoolbox/scripts/sct_testing.py",1030   "sha256": "3ae0487b9b07d01bf69a7c3bb8725b9d0e25d5ec5698e03002c113499ece2629",1031   "language": "Python",1032   "lines": 22,1033   "truncated": false,1034   "block": 20,1035   "row": 140231036  },1037  {1038   "path": "spinalcordtoolbox/scripts/sct_version.py",1039   "sha256": "b66aca6ba150d252c69272a4191b2471acea0b62b5d6dc0064bb43e8b0b5f23d",1040   "language": "Python",1041   "lines": 11,1042   "truncated": false,1043   "block": 20,1044   "row": 125701045  },1046  {1047   "path": "spinalcordtoolbox/scripts/sct_warp_template.py",1048   "sha256": "643cf0ff1301f67ec63ab0e2868d34023e626504a5a79ed49c3e4c2ecba7ebf4",1049   "language": "Python",1050   "lines": 302,1051   "truncated": false,1052   "block": 20,1053   "row": 204711054  },1055  {1056   "path": "spinalcordtoolbox/straightening.py",1057   "sha256": "ffb9fc79dff16790c91c1e597cb327ef0f15ed2988b2c57575ac701de4738b11",1058   "language": "Python",1059   "lines": 634,1060   "truncated": false,1061   "block": 21,1062   "row": 1661063  },1064  {1065   "path": "spinalcordtoolbox/template.py",1066   "sha256": "0aea413521655f360a60583a230e0d894a76bbcb05c526aa02a0230fc1bb0239",1067   "language": "Python",1068   "lines": 56,1069   "truncated": false,1070   "block": 20,1071   "row": 158461072  },1073  {1074   "path": "spinalcordtoolbox/types.py",1075   "sha256": "1ac7e5a26dc10995651f1c0078f8eaae6708aeecc05bce097670e459f61e4293",1076   "language": "Python",1077   "lines": 636,1078   "truncated": false,1079   "block": 21,1080   "row": 951081  },1082  {1083   "path": "spinalcordtoolbox/utils/csi_filter.py",1084   "sha256": "334574fa43ce44698b736d36280577855c3b51be7843968a8e1c51bd929083ee",1085   "language": "Python",1086   "lines": 113,1087   "truncated": false,1088   "block": 20,1089   "row": 178971090  },1091  {1092   "path": "spinalcordtoolbox/utils/fs.py",1093   "sha256": "1bbde4380f98afba888ba7aeb3d52d1e6459bd4fb7c87d7cf11732f38445e395",1094   "language": "Python",1095   "lines": 285,1096   "truncated": false,1097   "block": 20,1098   "row": 200151099  },1100  {1101   "path": "spinalcordtoolbox/utils/profiling.py",1102   "sha256": "110ca181643798e91c5a36e34d68c907fe891f93fa4da5881e0e311db2202b52",1103   "language": "Python",1104   "lines": 267,1105   "truncated": false,1106   "block": 20,1107   "row": 201851108  },1109  {1110   "path": "spinalcordtoolbox/utils/shell.py",1111   "sha256": "ef34f9fa5815c27f60973ce9e73ad95594a5402fe9a252220698c937bddf1cbb",1112   "language": "Python",1113   "lines": 627,1114   "truncated": false,1115   "block": 20,1116   "row": 219721117  },1118  {1119   "path": "spinalcordtoolbox/utils/sys.py",1120   "sha256": "d71c7c84cf9f8e059b4406e8bd8d40eebfef43e38158ccd307569e2b6a27179e",1121   "language": "Python",1122   "lines": 577,1123   "truncated": false,1124   "block": 20,1125   "row": 216341126  },1127  {1128   "path": "spinalcordtoolbox/vertebrae/core.py",1129   "sha256": "01e7aa6fb54e50b2e985cfda12ff7476d86092a915cd20da3a47ba55416b5a24",1130   "language": "Python",1131   "lines": 520,1132   "truncated": false,1133   "block": 20,1134   "row": 218111135  },1136  {1137   "path": "spinalcordtoolbox/vertebrae/detect_c2c3.py",1138   "sha256": "29bffe37488fc43cfb4203cd0c449bcb779fe54c6b24b96150005f4bb5040480",1139   "language": "Python",1140   "lines": 170,1141   "truncated": false,1142   "block": 20,1143   "row": 191061144  },1145  {1146   "path": "testing/api/test_aggregate_slicewise.py",1147   "sha256": "35f9f0aa79f5d08d3e122e56a30432c0fd584c3e5259d833d6797b1a0eca4147",1148   "language": "Python",1149   "lines": 390,1150   "truncated": false,1151   "block": 20,1152   "row": 218121153  },1154  {1155   "path": "testing/api/test_angle_hog.py",1156   "sha256": "3177aea4611869568d0477ecbe5685711fb1e3ce8d56cf11295ba32e31303409",1157   "language": "Python",1158   "lines": 143,1159   "truncated": false,1160   "block": 20,1161   "row": 184761162  },1163  {1164   "path": "testing/api/test_centerline.py",1165   "sha256": "cb2767212cdbf581c96c62ca8144a8993bb9fee2d352c7cd69f59f04b87a46d6",1166   "language": "Python",1167   "lines": 232,1168   "truncated": false,1169   "block": 20,1170   "row": 203331171  },1172  {1173   "path": "testing/api/test_deepseg_gm.py",1174   "sha256": "27ad957e90d556f4d03c228ea7e45cf1cf755b54f141615b6add1c6e80346c27",1175   "language": "Python",1176   "lines": 72,1177   "truncated": false,1178   "block": 20,1179   "row": 167801180  },1181  {1182   "path": "testing/api/test_deepseg_lesion.py",1183   "sha256": "9eb5955d7a9ecbc4aedd2cca42d06e160f31b5f9ea7506404a9a8f1544a6a294",1184   "language": "Python",1185   "lines": 53,1186   "truncated": false,1187   "block": 20,1188   "row": 154661189  },1190  {1191   "path": "testing/api/test_deepseg_models.py",1192   "sha256": "c28a41a5c72f0f8da8bfc8bb3d8ccc2c24a40aafbde9b8ddde1beedb0195368b",1193   "language": "Python",1194   "lines": 45,1195   "truncated": false,1196   "block": 20,1197   "row": 157021198  },1199  {1200   "path": "testing/api/test_deepseg_postprocessing.py",

Showing the first 1,200 of 1875 lines. Download the file for the rest.