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__vanvalenlab__deepcell-tf.json1038 linesDownload Raw Back to 05
1{2 "format": "oscr-script-manifest/1",3 "repository": "github.com/vanvalenlab/deepcell-tf",4 "url": "https://github.com/vanvalenlab/deepcell-tf/blob/master/notebooks/applications/Mesmer-Application.ipynb",5 "host": "github.com",6 "commit": "fa8fe3484c2dd230b470a241833cb9c416872737",7 "license": "Apache-2.0",8 "license_confirmed_by": "license file LICENSE",9 "redistribution": "yes",10 "files": [11  {12   "path": "LICENSE",13   "sha256": "58e4c8c7deac164874a3147e87ba024577d4cdc16b9a548a8ce0ce8b0b62b1b7",14   "language": "License",15   "lines": 202,16   "truncated": false,17   "block": 9,18   "row": 290019  },20  {21   "path": "README.md",22   "sha256": "a297619828e8f7a5c9d2ccbbd068181a6cde9645941d0230cb3e7d4be4641e21",23   "language": "Text",24   "lines": 156,25   "truncated": false,26   "block": 9,27   "row": 1471328  },29  {30   "path": "deepcell/__init__.py",31   "sha256": "43d64ab9bb0e940f756c9bc535f905a716eb1ae46af8dd6f9fad71ae854ab781",32   "language": "Python",33   "lines": 27,34   "truncated": false,35   "block": 9,36   "row": 698537  },38  {39   "path": "deepcell/_version.py",40   "sha256": "6f1777c0e5f6e0ff5b2b45e9c221904518ac192952fb615566d10b4471db5478",41   "language": "Python",42   "lines": 10,43   "truncated": false,44   "block": 9,45   "row": 661346  },47  {48   "path": "deepcell/applications/__init__.py",49   "sha256": "8b0ec7fa58a523ba54293bca510406f0bae160ea855efdee966dbc20b82c603f",50   "language": "Python",51   "lines": 11,52   "truncated": false,53   "block": 9,54   "row": 674555  },56  {57   "path": "deepcell/applications/application.py",58   "sha256": "b4a4acb9d140acf16021b5f6bb67a06f20fa37bf56fd19fefa5167af33ec2006",59   "language": "Python",60   "lines": 426,61   "truncated": false,62   "block": 9,63   "row": 1163564  },65  {66   "path": "deepcell/applications/application_test.py",67   "sha256": "211123ced6ecd5d65fbeb60c6290732e29e5c561151da6e11dced670c98169a8",68   "language": "Python",69   "lines": 303,70   "truncated": false,71   "block": 9,72   "row": 1075073  },74  {75   "path": "deepcell/applications/cell_tracking.py",76   "sha256": "0264bbe9c376293b1044facdb10ab82c286048ff87d5cc6b95fa104e4a8710b3",77   "language": "Python",78   "lines": 202,79   "truncated": false,80   "block": 9,81   "row": 999582  },83  {84   "path": "deepcell/applications/cell_tracking_test.py",85   "sha256": "044e2768c8b162c6ec22acc122b133355a3db618916532bec770f860e09382d3",86   "language": "Python",87   "lines": 56,88   "truncated": false,89   "block": 9,90   "row": 764991  },92  {93   "path": "deepcell/applications/cytoplasm_segmentation.py",94   "sha256": "a5e0aa068ffde0fe2daa2920231a3c939657f75ce9c4cb2206e5bd0c908965b3",95   "language": "Python",96   "lines": 144,97   "truncated": false,98   "block": 9,99   "row": 9352100  },101  {102   "path": "deepcell/applications/cytoplasm_segmentation_test.py",103   "sha256": "7c850b613838da8690ac29a32cd368c1b2d240eb1b37a75e6368879625b14343",104   "language": "Python",105   "lines": 38,106   "truncated": false,107   "block": 9,108   "row": 7236109  },110  {111   "path": "deepcell/applications/label_detection.py",112   "sha256": "d0f14837a0013a50e8034151c8494d8cea8261333ee125dd4d1258ee453b8c25",113   "language": "Python",114   "lines": 175,115   "truncated": false,116   "block": 9,117   "row": 9846118  },119  {120   "path": "deepcell/applications/label_detection_test.py",121   "sha256": "17686f338dce1a2da28d9d166a27d91f271e123313459be3da8ac111277b1c85",122   "language": "Python",123   "lines": 62,124   "truncated": false,125   "block": 9,126   "row": 7749127  },128  {129   "path": "deepcell/applications/mesmer.py",130   "sha256": "8d8927100b6d4eb24c8477fd1fb3822a2e23328c0df97fc7ea4995cf1ade1ebe",131   "language": "Python",132   "lines": 287,133   "truncated": false,134   "block": 9,135   "row": 10827136  },137  {138   "path": "deepcell/applications/mesmer_test.py",139   "sha256": "3a35145349a4278fa5a62af6c54a25b1381bef1ed2b5c21b7834853c12aa4668",140   "language": "Python",141   "lines": 237,142   "truncated": false,143   "block": 9,144   "row": 10584145  },146  {147   "path": "deepcell/applications/multiplex_segmentation.py",148   "sha256": "2edb267819e87e1662d9f5a5958d96cac4eb1365c56fd0d0094351a6be3f9dcf",149   "language": "Python",150   "lines": 7,151   "truncated": false,152   "block": 9,153   "row": 6415154  },155  {156   "path": "deepcell/applications/nuclear_segmentation.py",157   "sha256": "b2c174d017a084af0b8c4b2cc08f2632a7b66575345203a135c1a07e77702117",158   "language": "Python",159   "lines": 199,160   "truncated": false,161   "block": 9,162   "row": 9937163  },164  {165   "path": "deepcell/applications/nuclear_segmentation_test.py",166   "sha256": "1fafb08ad24ed22afab23adf701af4ddb9ae5c7bd3d8fdfcfd30d91a6c7b51b4",167   "language": "Python",168   "lines": 38,169   "truncated": false,170   "block": 9,171   "row": 7230172  },173  {174   "path": "deepcell/applications/scale_detection.py",175   "sha256": "67170ba38e3daf6f93e3697847b5e7553245196bb8584f65ae977a89a56f4eff",176   "language": "Python",177   "lines": 174,178   "truncated": false,179   "block": 9,180   "row": 9807181  },182  {183   "path": "deepcell/applications/scale_detection_test.py",184   "sha256": "8d1b0731c33e37a74af0c0365ead91ff17a8d751c390b34720d66b9021b72d22",185   "language": "Python",186   "lines": 60,187   "truncated": false,188   "block": 9,189   "row": 7703190  },191  {192   "path": "deepcell/callbacks.py",193   "sha256": "542a593fe24dd32914317ceb6fee7724a0a63ba5a3ed4c3ea0a67db7002babd3",194   "language": "Python",195   "lines": 51,196   "truncated": false,197   "block": 9,198   "row": 7563199  },200  {201   "path": "deepcell/callbacks_test.py",202   "sha256": "f36944cb536784e44899eabe774e4b60e2f7d3c595b1b0a986c3f128a7888a5d",203   "language": "Python",204   "lines": 35,205   "truncated": false,206   "block": 9,207   "row": 7121208  },209  {210   "path": "deepcell/data/__init__.py",211   "sha256": "1751c84dcaf355eb71ec90f24e6a5f3efc8cd620a26789b8c2061e9af03d50b0",212   "language": "Python",213   "lines": 51,214   "truncated": false,215   "block": 9,216   "row": 7816217  },218  {219   "path": "deepcell/data/tracking.py",220   "sha256": "036a262f502b14c58230939b96e8333333e95f6bc40e629a0ca9aa34f68427f3",221   "language": "Python",222   "lines": 442,223   "truncated": false,224   "block": 9,225   "row": 11581226  },227  {228   "path": "deepcell/data/tracking_test.py",229   "sha256": "75735c3a32bfb0d32c1e7fbe83cddb5375256b95f429566977db2a8d26edd256",230   "language": "Python",231   "lines": 267,232   "truncated": false,233   "block": 9,234   "row": 10748235  },236  {237   "path": "deepcell/datasets/__init__.py",238   "sha256": "583ed0568864fe45b65d2257980215c9c698a7060bda5f4d1820b934d8687f74",239   "language": "Python",240   "lines": 12,241   "truncated": false,242   "block": 9,243   "row": 6492244  },245  {246   "path": "deepcell/datasets/dataset.py",247   "sha256": "3845efa7ede0655cc33bd0e3cad3fdf95ab19a0a0f2f4594cd34449715d023f1",248   "language": "Python",249   "lines": 191,250   "truncated": false,251   "block": 9,252   "row": 9713253  },254  {255   "path": "deepcell/datasets/dataset_test.py",256   "sha256": "7d85501a4b6b341ff02b5e98bc2a60e5f9f60d807546984c4b214fdd30fc8468",257   "language": "Python",258   "lines": 122,259   "truncated": false,260   "block": 9,261   "row": 8910262  },263  {264   "path": "deepcell/datasets/dynamic_nuclear_net.py",265   "sha256": "20fbd412222c45bbb17357b215753b02d2b041bf6ebbe3b710a033bed3fb8f8b",266   "language": "Python",267   "lines": 118,268   "truncated": false,269   "block": 9,270   "row": 9253271  },272  {273   "path": "deepcell/datasets/spot_net.py",274   "sha256": "cf6f3c1320103362208f0d6b32785bca067e98a17d664a30ab371299c3a070d8",275   "language": "Python",276   "lines": 117,277   "truncated": false,278   "block": 9,279   "row": 9081280  },281  {282   "path": "deepcell/datasets/tissue_net.py",283   "sha256": "6a6732a2f7363e0edd048437546abd8b4c9e6ffca05063ba6d48f5724b65a1c4",284   "language": "Python",285   "lines": 77,286   "truncated": false,287   "block": 9,288   "row": 8632289  },290  {291   "path": "deepcell/image_generators/__init__.py",292   "sha256": "e4995b6979c83333d89ea07d3a86b8cb6b270b250277b2eac637b21df4b78f23",293   "language": "Python",294   "lines": 269,295   "truncated": false,296   "block": 9,297   "row": 10915298  },299  {300   "path": "deepcell/image_generators/cropping.py",301   "sha256": "035cb5ff23f13a866e0517a168d112e7a9b5563e362c3cb33c930363e2fc1571",302   "language": "Python",303   "lines": 468,304   "truncated": false,305   "block": 9,306   "row": 11854307  },308  {309   "path": "deepcell/image_generators/fully_convolutional.py",310   "sha256": "65a1d7b8a18cb31e323b098251603de73bf132478e696e4c2e97a1cb62968ba7",311   "language": "Python",312   "lines": 729,313   "truncated": false,314   "block": 9,315   "row": 12255316  },317  {318   "path": "deepcell/image_generators/image_generators_test.py",319   "sha256": "f7a7c54ef9a02a36f0eaf6ff5a624cbf287e1b465ace69fd9f01924f21780b6a",320   "language": "Python",321   "lines": 2490,322   "truncated": false,323   "block": 9,324   "row": 12651325  },326  {327   "path": "deepcell/image_generators/sample.py",328   "sha256": "f8e600b1c8512ab43e3e146b27e1102fad592d66cebcc20247e13218a7412b4e",329   "language": "Python",330   "lines": 668,331   "truncated": false,332   "block": 9,333   "row": 12196334  },335  {336   "path": "deepcell/image_generators/scale.py",337   "sha256": "f4e423c84159c18d390b09d07b0f8a9bec0cfae1795f60e15319224a020d1690",338   "language": "Python",339   "lines": 257,340   "truncated": false,341   "block": 9,342   "row": 10985343  },344  {345   "path": "deepcell/image_generators/semantic.py",346   "sha256": "cae8c2ed1fdfb9f481d82267b267c7d3635c35dbd20fef604a78b598d8a3849c",347   "language": "Python",348   "lines": 1641,349   "truncated": false,350   "block": 9,351   "row": 12580352  },353  {354   "path": "deepcell/image_generators/tracking.py",355   "sha256": "6bd9b81a664e38e16618d023f1db7c0848925a2e7c534a1a44ba5427f94d55bd",356   "language": "Python",357   "lines": 937,358   "truncated": false,359   "block": 9,360   "row": 12428361  },362  {363   "path": "deepcell/layers/__init__.py",364   "sha256": "9c671d3eaca9e36e6d3ac4eff09640ec16d5a98aa8a90c43f04f15b3ece6fe4b",365   "language": "Python",366   "lines": 21,367   "truncated": false,368   "block": 9,369   "row": 7020370  },371  {372   "path": "deepcell/layers/location.py",373   "sha256": "986f0f9b907073790ff2f89485d08a61cecd77cabeac6fb975f9af5e52c623b6",374   "language": "Python",375   "lines": 142,376   "truncated": false,377   "block": 9,378   "row": 9582379  },380  {381   "path": "deepcell/layers/location_test.py",382   "sha256": "b3e6d2598bcb228cf5aed890bbbb146cb05b7133e19334d583c3c582de48cbbe",383   "language": "Python",384   "lines": 40,385   "truncated": false,386   "block": 9,387   "row": 7412388  },389  {390   "path": "deepcell/layers/normalization.py",391   "sha256": "db8904436df90af5e13c93cf1a79adb029d4681039ce6d101e3518ca1a970ecf",392   "language": "Python",393   "lines": 380,394   "truncated": false,395   "block": 9,396   "row": 11600397  },398  {399   "path": "deepcell/layers/normalization_test.py",400   "sha256": "c5aaa0ecafdd31b2adb81ada4310529719d91ccdeba0c9923e694685d4d6cdac",401   "language": "Python",402   "lines": 98,403   "truncated": false,404   "block": 9,405   "row": 9198406  },407  {408   "path": "deepcell/layers/padding.py",409   "sha256": "08a94b1bb9ba02192cf003ee31dcd6498528ca3f695dfb2a81b281fd3640b8ab",410   "language": "Python",411   "lines": 68,412   "truncated": false,413   "block": 9,414   "row": 8563415  },416  {417   "path": "deepcell/layers/padding_test.py",418   "sha256": "97774c597efa74b5d5991438e4f08e9fbe70312a0510a45c01b42d59c940f4f3",419   "language": "Python",420   "lines": 150,421   "truncated": false,422   "block": 9,423   "row": 10073424  },425  {426   "path": "deepcell/layers/pooling.py",427   "sha256": "0e9d83ad37fe3e1cd4fb6c7657a131e34bde720624d68190a807d8c2f735609e",428   "language": "Python",429   "lines": 298,430   "truncated": false,431   "block": 9,432   "row": 11177433  },434  {435   "path": "deepcell/layers/pooling_test.py",436   "sha256": "c10f7297774051af7e42a52b6d6f4617b9a38497da6e945740fe2d550ca4cd69",437   "language": "Python",438   "lines": 73,439   "truncated": false,440   "block": 9,441   "row": 8586442  },443  {444   "path": "deepcell/layers/temporal.py",445   "sha256": "775463f07603ef78f7f1371c752a7cf9ea68f2be9a084debde94d83419914dac",446   "language": "Python",447   "lines": 86,448   "truncated": false,449   "block": 9,450   "row": 8298451  },452  {453   "path": "deepcell/layers/temporal_test.py",454   "sha256": "afe8a1201507d9c8b941eb54f2eba61add20501b9eb8404e17fed5c1c5d25fa1",455   "language": "Python",456   "lines": 108,457   "truncated": false,458   "block": 9,459   "row": 8911460  },461  {462   "path": "deepcell/layers/tensor_product.py",463   "sha256": "c7bb81e8abffad1da996956edc88b54221f5131d072feef7f2be4af3fe13b012",464   "language": "Python",465   "lines": 188,466   "truncated": false,467   "block": 9,468   "row": 10426469  },470  {471   "path": "deepcell/layers/tensor_product_test.py",472   "sha256": "ca001f85adfde5d0d56d3fb6ff1fe2350e9e909bcb5982d47770be2d1479825b",473   "language": "Python",474   "lines": 82,475   "truncated": false,476   "block": 9,477   "row": 8373478  },479  {480   "path": "deepcell/layers/upsample.py",481   "sha256": "627cc300e0b3f5013d1f57c2e684aac3e64f33291e08e67e2150a97ef61b68fc",482   "language": "Python",483   "lines": 116,484   "truncated": false,485   "block": 9,486   "row": 9270487  },488  {489   "path": "deepcell/layers/upsample_test.py",490   "sha256": "a52015895fdef6062d34af1da4eeb77c7a6d5bbe153fc191f85cd6b6a3c93e8e",491   "language": "Python",492   "lines": 113,493   "truncated": false,494   "block": 9,495   "row": 8940496  },497  {498   "path": "deepcell/losses.py",499   "sha256": "dad481e73b290701920d46ec2af076369d60f6cf0373b7468ff1cb3cf29388a5",500   "language": "Python",501   "lines": 293,502   "truncated": false,503   "block": 9,504   "row": 11110505  },506  {507   "path": "deepcell/losses_test.py",508   "sha256": "3f0083b14b88b81e2f3924e63a3f0201f5b339356c30f35ad55b401c2181763f",509   "language": "Python",510   "lines": 44,511   "truncated": false,512   "block": 9,513   "row": 7332514  },515  {516   "path": "deepcell/metrics.py",517   "sha256": "d0ad362740222f5f1154d8c7d13fbb911a04baa3a6d24f756684d4c54129c1d1",518   "language": "Python",519   "lines": 7,520   "truncated": false,521   "block": 9,522   "row": 6521523  },524  {525   "path": "deepcell/model_zoo/__init__.py",526   "sha256": "a611130b59f8672c08b55446b7968df0342f85a9587c641f44e594e5705d6333",527   "language": "Python",528   "lines": 12,529   "truncated": false,530   "block": 9,531   "row": 6623532  },533  {534   "path": "deepcell/model_zoo/featurenet.py",535   "sha256": "f317b544cdb378b41a9e370f9e5c3b28bff06c2770425aa1fe7de26dcc652008",536   "language": "Python",537   "lines": 550,538   "truncated": false,539   "block": 9,540   "row": 11908541  },542  {543   "path": "deepcell/model_zoo/featurenet_test.py",544   "sha256": "ebdc92f8f99321eafdeb63e86924c2e0acf4a19ae19985e09f039bb3bd790d08",545   "language": "Python",546   "lines": 522,547   "truncated": false,548   "block": 9,549   "row": 11690550  },551  {552   "path": "deepcell/model_zoo/fpn.py",553   "sha256": "724e242ccafa618de925021b635da18149080dfcd76c909e9d1ab0ef3724d1dc",554   "language": "Python",555   "lines": 508,556   "truncated": false,557   "block": 9,558   "row": 11895559  },560  {561   "path": "deepcell/model_zoo/panopticnet.py",562   "sha256": "256ab545109bec1b5e52cf925e73a4f3e34bb7217de2fd60cedbd88605f4ceb9",563   "language": "Python",564   "lines": 284,565   "truncated": false,566   "block": 9,567   "row": 11058568  },569  {570   "path": "deepcell/model_zoo/panopticnet_test.py",571   "sha256": "f9eb44d8cb5f3214b4b58813c65ee4aab928623e7bf0d82e389f45fef58a386e",572   "language": "Python",573   "lines": 405,574   "truncated": false,575   "block": 9,576   "row": 11305577  },578  {579   "path": "deepcell/model_zoo/tracking.py",580   "sha256": "fe01d671aa07f896e6dcfa7e4346384406ccb8ea899e7fc4e273ff07bda3722a",581   "language": "Python",582   "lines": 601,583   "truncated": false,584   "block": 9,585   "row": 12113586  },587  {588   "path": "deepcell/model_zoo/tracking_test.py",589   "sha256": "9789144cecc4d46bf29d5fe0fdfd0d09cbb984b7889a9fb0cecf6ce1a8d72d7c",590   "language": "Python",591   "lines": 11,592   "truncated": false,593   "block": 9,594   "row": 6487595  },596  {597   "path": "deepcell/running.py",598   "sha256": "71d73093db4611e93ab15f667f0aedae1d3e3514619357dc5b05672593a6b6c8",599   "language": "Python",600   "lines": 192,601   "truncated": false,602   "block": 9,603   "row": 10144604  },605  {606   "path": "deepcell/running_test.py",607   "sha256": "43fec39ea8b3df1d7beaa6cb6c0e5b577c7a8816fe26b5b168864646bc8284af",608   "language": "Python",609   "lines": 178,610   "truncated": false,611   "block": 9,612   "row": 9820613  },614  {615   "path": "deepcell/tracking.py",616   "sha256": "d2d55c3641124ca6c5b42151d9e91860ab2684c3b917c760b98cb9b5271e86f6",617   "language": "Python",618   "lines": 5,619   "truncated": false,620   "block": 9,621   "row": 6416622  },623  {624   "path": "deepcell/training.py",625   "sha256": "b865c3505dab456de777696f49d98fb9f8b5992105a858a64fe825d3e6791e4e",626   "language": "Python",627   "lines": 564,628   "truncated": false,629   "block": 9,630   "row": 11956631  },632  {633   "path": "deepcell/utils/__init__.py",634   "sha256": "28162f674ae42e43b155730ada9e5e7bdff6c74904dbb45544e2307b2b7a1bb4",635   "language": "Python",636   "lines": 48,637   "truncated": false,638   "block": 9,639   "row": 7805640  },641  {642   "path": "deepcell/utils/_auth.py",643   "sha256": "ed8e4c8c65b03c3c7da53721ff94a172466946849fd8a9bdee3ffc1d71ef4f6a",644   "language": "Python",645   "lines": 173,646   "truncated": false,647   "block": 9,648   "row": 9876649  },650  {651   "path": "deepcell/utils/backbone_utils.py",652   "sha256": "819bb6f832b249cec432e28b69662704ae4cc5a392d95514388eee5a80541d57",653   "language": "Python",654   "lines": 458,655   "truncated": false,656   "block": 9,657   "row": 11764658  },659  {660   "path": "deepcell/utils/backbone_utils_test.py",661   "sha256": "bc4e6c86c861c4e3e41bf2a81454a2bdae32a36d717863b21209fb1b222cdf07",662   "language": "Python",663   "lines": 111,664   "truncated": false,665   "block": 9,666   "row": 9116667  },668  {669   "path": "deepcell/utils/data_utils.py",670   "sha256": "5a9700e035d3690b0f8852c8a81f9365360fad7bd2fa25176c481d374d687824",671   "language": "Python",672   "lines": 481,673   "truncated": false,674   "block": 9,675   "row": 11783676  },677  {678   "path": "deepcell/utils/data_utils_test.py",679   "sha256": "ba3fb249a977d9a8abfda2d7a8a1ecdb7212bd4efaa8fc39087bff4cc3d69c33",680   "language": "Python",681   "lines": 494,682   "truncated": false,683   "block": 9,684   "row": 11953685  },686  {687   "path": "deepcell/utils/export_utils.py",688   "sha256": "47ffc4cf625ba9a41e93cfb0f0de455caaa86d3af754d0009e60aa26b7871946",689   "language": "Python",690   "lines": 125,691   "truncated": false,692   "block": 9,693   "row": 9343694  },695  {696   "path": "deepcell/utils/io_utils.py",697   "sha256": "27987874d7de8150e2ffd283bb6575d5f05d08202feef9e7b5856d8e5e484dc0",698   "language": "Python",699   "lines": 78,700   "truncated": false,701   "block": 9,702   "row": 8384703  },704  {705   "path": "deepcell/utils/io_utils_test.py",706   "sha256": "f639dbf022c66ebf7fa4d4470fac7d81601d34178501ecc4376287cce8bdcb2c",707   "language": "Python",708   "lines": 58,709   "truncated": false,710   "block": 9,711   "row": 7985712  },713  {714   "path": "deepcell/utils/misc_utils.py",715   "sha256": "58636a290efdc0de03dce0e6e5792060e0c8697c98fe6b9c6c3786d95e5bf908",716   "language": "Python",717   "lines": 34,718   "truncated": false,719   "block": 9,720   "row": 6993721  },722  {723   "path": "deepcell/utils/misc_utils_test.py",724   "sha256": "1322022cdfb75bba4fe96df46a8f1f6cf8a29f9a2bb5774306f61ad4d50dc527",725   "language": "Python",726   "lines": 25,727   "truncated": false,728   "block": 9,729   "row": 6959730  },731  {732   "path": "deepcell/utils/plot_utils.py",733   "sha256": "1301460729dc3bfffe9211ee622b164d6ec9d0a774e70687de3eac6c2c7d70d9",734   "language": "Python",735   "lines": 247,736   "truncated": false,737   "block": 9,738   "row": 10569739  },740  {741   "path": "deepcell/utils/plot_utils_test.py",742   "sha256": "a031f2eb70754eba163ec46f0150608c8377c680a7f18ca88853765e75117e6e",743   "language": "Python",744   "lines": 94,745   "truncated": false,746   "block": 9,747   "row": 8809748  },749  {750   "path": "deepcell/utils/tfrecord_utils.py",751   "sha256": "2968fcdb862751bfff38bb3e44954e5450f26b82210ef8758bdfd0655a9ac1b8",752   "language": "Python",753   "lines": 508,754   "truncated": false,755   "block": 9,756   "row": 11500757  },758  {759   "path": "deepcell/utils/tfrecord_utils_test.py",760   "sha256": "99a3c46542cd884603cffacbe4d351ea2e81c77fe5a195d85685b3ced6bf72ef",761   "language": "Python",762   "lines": 272,763   "truncated": false,764   "block": 9,765   "row": 10522766  },767  {768   "path": "deepcell/utils/tracking_utils.py",769   "sha256": "aaa0ea459b75163f13626bd09a098c5d2da9b45f1c7423d793c328936a263935",770   "language": "Python",771   "lines": 10,772   "truncated": false,773   "block": 9,774   "row": 6574775  },776  {777   "path": "deepcell/utils/train_utils.py",778   "sha256": "e24aa6be5c202a89f4ace37f15e63b4ea1046f9fa624eadb6e752dfb2fa8883f",779   "language": "Python",780   "lines": 82,781   "truncated": false,782   "block": 9,783   "row": 8160784  },785  {786   "path": "deepcell/utils/train_utils_test.py",787   "sha256": "4d084119c9066b316cb3b5c5b7a894c5f192eaed4cadb6d5e077080af9f9f35c",788   "language": "Python",789   "lines": 45,790   "truncated": false,791   "block": 9,792   "row": 7633793  },794  {795   "path": "deepcell/utils/transform_utils.py",796   "sha256": "0edb2b8af1f3c4547261cdc3d17d4b6384cc164114ff2da92f1ed2e279f08a66",797   "language": "Python",798   "lines": 404,799   "truncated": false,800   "block": 9,801   "row": 11479802  },803  {804   "path": "deepcell/utils/transform_utils_test.py",805   "sha256": "870bcbd72ba26f84671756e05ca4afbc8b6f4694ca9779450dbb326b538d8cc5",806   "language": "Python",807   "lines": 417,808   "truncated": false,809   "block": 9,810   "row": 11766811  },812  {813   "path": "docs/source/applications/caliban.py",814   "sha256": "b170a8f1af07a248daabacfa2d6b9c78b985b382981eff1c1b80870a5608af1d",815   "language": "Python",816   "lines": 219,817   "truncated": false,818   "block": 9,819   "row": 9964820  },821  {822   "path": "docs/source/applications/mesmer.py",823   "sha256": "5a0dcffe9c449105b5f5161cc995231189d04bb9df81f5f6e2ca1330b726cfb3",824   "language": "Python",825   "lines": 273,826   "truncated": false,827   "block": 9,828   "row": 10423829  },830  {831   "path": "docs/source/conf.py",832   "sha256": "403525daa23a3a9e1ac3aadc4f10611260f864bb4f45ffec5cf49a4f00125dff",833   "language": "Python",834   "lines": 309,835   "truncated": false,836   "block": 9,837   "row": 10738838  },839  {840   "path": "docs/source/datasets/dynamicnuclearnet.py",841   "sha256": "9e4590a2b4a7e5efb726ebdc239e93e4db9d1dcd869c7e4756394ac5c6b17bb1",842   "language": "Python",843   "lines": 51,844   "truncated": false,845   "block": 9,846   "row": 7501847  },848  {849   "path": "docs/source/datasets/spotnet.py",850   "sha256": "818c6cfbd3e1cd9dae8a7172efe782af4f87a9a740ce8147bcec295a4347c8a7",851   "language": "Python",852   "lines": 30,853   "truncated": false,854   "block": 9,855   "row": 6903856  },857  {858   "path": "docs/source/datasets/tissuenet.py",859   "sha256": "5d7dc50c9b2afd386bb06a13a15d8b38dd0e589882c0488009d1826e3c9a8725",860   "language": "Python",861   "lines": 49,862   "truncated": false,863   "block": 9,864   "row": 7932865  },866  {867   "path": "notebooks/applications/Caliban-Application.ipynb",868   "sha256": "7cd4c8b8e16135267afd521b6d1b690ad533f78372137703b8feb3010985b9db",869   "language": "Jupyter",870   "lines": 204,871   "truncated": false,872   "block": 9,873   "row": 2392874  },875  {876   "path": "notebooks/applications/Cytoplasm-Application.ipynb",877   "sha256": "6fa3e5022892ac9642ea73552e3f3fcec8a624fcadbb6314a7b7dee3271a135c",878   "language": "Jupyter",879   "lines": 69,880   "truncated": false,881   "block": 9,882   "row": 2231883  },884  {885   "path": "notebooks/applications/Mesmer-Application.ipynb",886   "sha256": "80ac38b61929c4d6de6d9037ca7ef4470f593bc7008edd0e1aa4c57dfa62d88e",887   "language": "Jupyter",888   "lines": 172,889   "truncated": false,890   "block": 9,891   "row": 2413892  },893  {894   "path": "notebooks/training/featurenets/Discriminative Loss 2D with FG-BG Separation.ipynb",895   "sha256": "e9b41e54d3662093854039dfd475170425f76dd8398eb396dbcf93125d028de1",896   "language": "Jupyter",897   "lines": 648,898   "truncated": false,899   "block": 9,900   "row": 2647901  },902  {903   "path": "notebooks/training/featurenets/Discriminative Loss 3D with FG-BG Separation.ipynb",904   "sha256": "31374c4ffddf248a1954e2b558af468a2085928701ab1642c59f6e0fdb6df17f",905   "language": "Jupyter",906   "lines": 459,907   "truncated": false,908   "block": 9,909   "row": 2580910  },911  {912   "path": "notebooks/training/featurenets/Interior-Edge Segmentation 2D Fully Convolutional.ipynb",913   "sha256": "042aeaf35c71aa63cafdf593ccc886847b4b6c0c40cf2281f00b8669b022c8c9",914   "language": "Jupyter",915   "lines": 407,916   "truncated": false,917   "block": 9,918   "row": 2532919  },920  {921   "path": "notebooks/training/featurenets/Interior-Edge Segmentation 2D Sample Based.ipynb",922   "sha256": "92c65e0f2d58335e323e5316a319caf7059841f9aa38e491ae9c925a495d8e2e",923   "language": "Jupyter",924   "lines": 418,925   "truncated": false,926   "block": 9,927   "row": 2545928  },929  {930   "path": "notebooks/training/featurenets/Interior-Edge Segmentation 3D Fully Convolutional.ipynb",931   "sha256": "1ea0d167b8b18924eaf838ee3ca73dedc4245294b2ebb276597093207ed3e5b2",932   "language": "Jupyter",933   "lines": 437,934   "truncated": false,935   "block": 9,936   "row": 2555937  },938  {939   "path": "notebooks/training/featurenets/Interior-Edge Segmentation 3D Sample Based.ipynb",940   "sha256": "636c6e8889fa78d99448352257f525faf10b69c2b35bfbe8a5997c34a7a72213",941   "language": "Jupyter",942   "lines": 425,943   "truncated": false,944   "block": 9,945   "row": 2553946  },947  {948   "path": "notebooks/training/featurenets/Watershed Transform 2D Fully Convolutional.ipynb",949   "sha256": "2ad777f7df62402dfc76e56bc594fbe3a05441da4877e92270488f836ca95a3c",950   "language": "Jupyter",951   "lines": 434,952   "truncated": false,953   "block": 9,954   "row": 2554955  },956  {957   "path": "notebooks/training/featurenets/Watershed Transform 2D Sample Based.ipynb",958   "sha256": "be1f529c0c939aa6e9e76c617c9954b291ada6d43f359195babe3eca01306d7c",959   "language": "Jupyter",960   "lines": 433,961   "truncated": false,962   "block": 9,963   "row": 2559964  },965  {966   "path": "notebooks/training/featurenets/Watershed Transform 3D Fully Convolutional.ipynb",967   "sha256": "e31d1f57cc175da5cbcc95676443395ecea45bf6c06d85911f0dcc3a868e3cbf",968   "language": "Jupyter",969   "lines": 460,970   "truncated": false,971   "block": 9,972   "row": 2570973  },974  {975   "path": "notebooks/training/featurenets/Watershed Transform 3D Sample Based.ipynb",976   "sha256": "0905cfde3c937ae42c804748e2f1f3ae7dfb3b464f36b32257cd0be71cd6a4bc",977   "language": "Jupyter",978   "lines": 443,979   "truncated": false,980   "block": 9,981   "row": 2569982  },983  {984   "path": "notebooks/training/misc/Label-Detection-Model.ipynb",985   "sha256": "498c4ef0f21ef0fa51b7fe502df71c257088ff48afb98230dd97b360cfd412aa",986   "language": "Jupyter",987   "lines": 212,988   "truncated": false,989   "block": 9,990   "row": 2376991  },992  {993   "path": "notebooks/training/misc/Scale-Detection-Model.ipynb",994   "sha256": "4c6fae3a589e99ef0da883142bfd61d4832f3356f54c22bce25cb5f968a40e71",995   "language": "Jupyter",996   "lines": 199,997   "truncated": false,998   "block": 9,999   "row": 23601000  },1001  {1002   "path": "notebooks/training/panopticnets/3D Nuclear Segmentation - Deep Watershed.ipynb",1003   "sha256": "91111250b66676a1b45005dfcd3e2630c3140b083ffffbc83ff255665deaf559",1004   "language": "Jupyter",1005   "lines": 587,1006   "truncated": false,1007   "block": 9,1008   "row": 26561009  },1010  {1011   "path": "notebooks/training/panopticnets/Nuclear Segmentation - DeepWatershed.ipynb",1012   "sha256": "9adef978fd5288772d1efde3098b3e524789b89424282b087439291371fe7d4a",1013   "language": "Jupyter",1014   "lines": 372,1015   "truncated": false,1016   "block": 9,1017   "row": 24871018  },1019  {1020   "path": "notebooks/training/tracking/Training and Tracking with GNNs.ipynb",1021   "sha256": "0594d8a88525fa8c24f602abee87561ce50e7b17758f10b2384c9b377dd9e973",1022   "language": "Jupyter",1023   "lines": 388,1024   "truncated": false,1025   "block": 9,1026   "row": 25021027  },1028  {1029   "path": "setup.py",1030   "sha256": "8319abc4c9afbd1a86569cbb412886db60dd4b20efe679f704fee04b1bece6e0",1031   "language": "Python",1032   "lines": 73,1033   "truncated": false,1034   "block": 9,1035   "row": 80821036  }1037 ]1038}