Database / manifests /05 /github.com__vanvalenlab__deepcell-tf.json
opsecsystems's picture
Scripts of 2026-09-30: 1 new block(s), 366 manifest(s), 0 removed
9b90395 verified
Raw History Blame Contribute Delete
27.5 kB
{
"format": "oscr-script-manifest/1",
"repository": "github.com/vanvalenlab/deepcell-tf",
"url": "https://github.com/vanvalenlab/deepcell-tf/blob/master/notebooks/applications/Mesmer-Application.ipynb",
"host": "github.com",
"commit": "fa8fe3484c2dd230b470a241833cb9c416872737",
"license": "Apache-2.0",
"license_confirmed_by": "license file LICENSE",
"redistribution": "yes",
"files": [
{
"path": "LICENSE",
"sha256": "58e4c8c7deac164874a3147e87ba024577d4cdc16b9a548a8ce0ce8b0b62b1b7",
"language": "License",
"lines": 202,
"truncated": false,
"block": 9,
"row": 2900
},
{
"path": "README.md",
"sha256": "a297619828e8f7a5c9d2ccbbd068181a6cde9645941d0230cb3e7d4be4641e21",
"language": "Text",
"lines": 156,
"truncated": false,
"block": 9,
"row": 14713
},
{
"path": "deepcell/__init__.py",
"sha256": "43d64ab9bb0e940f756c9bc535f905a716eb1ae46af8dd6f9fad71ae854ab781",
"language": "Python",
"lines": 27,
"truncated": false,
"block": 9,
"row": 6985
},
{
"path": "deepcell/_version.py",
"sha256": "6f1777c0e5f6e0ff5b2b45e9c221904518ac192952fb615566d10b4471db5478",
"language": "Python",
"lines": 10,
"truncated": false,
"block": 9,
"row": 6613
},
{
"path": "deepcell/applications/__init__.py",
"sha256": "8b0ec7fa58a523ba54293bca510406f0bae160ea855efdee966dbc20b82c603f",
"language": "Python",
"lines": 11,
"truncated": false,
"block": 9,
"row": 6745
},
{
"path": "deepcell/applications/application.py",
"sha256": "b4a4acb9d140acf16021b5f6bb67a06f20fa37bf56fd19fefa5167af33ec2006",
"language": "Python",
"lines": 426,
"truncated": false,
"block": 9,
"row": 11635
},
{
"path": "deepcell/applications/application_test.py",
"sha256": "211123ced6ecd5d65fbeb60c6290732e29e5c561151da6e11dced670c98169a8",
"language": "Python",
"lines": 303,
"truncated": false,
"block": 9,
"row": 10750
},
{
"path": "deepcell/applications/cell_tracking.py",
"sha256": "0264bbe9c376293b1044facdb10ab82c286048ff87d5cc6b95fa104e4a8710b3",
"language": "Python",
"lines": 202,
"truncated": false,
"block": 9,
"row": 9995
},
{
"path": "deepcell/applications/cell_tracking_test.py",
"sha256": "044e2768c8b162c6ec22acc122b133355a3db618916532bec770f860e09382d3",
"language": "Python",
"lines": 56,
"truncated": false,
"block": 9,
"row": 7649
},
{
"path": "deepcell/applications/cytoplasm_segmentation.py",
"sha256": "a5e0aa068ffde0fe2daa2920231a3c939657f75ce9c4cb2206e5bd0c908965b3",
"language": "Python",
"lines": 144,
"truncated": false,
"block": 9,
"row": 9352
},
{
"path": "deepcell/applications/cytoplasm_segmentation_test.py",
"sha256": "7c850b613838da8690ac29a32cd368c1b2d240eb1b37a75e6368879625b14343",
"language": "Python",
"lines": 38,
"truncated": false,
"block": 9,
"row": 7236
},
{
"path": "deepcell/applications/label_detection.py",
"sha256": "d0f14837a0013a50e8034151c8494d8cea8261333ee125dd4d1258ee453b8c25",
"language": "Python",
"lines": 175,
"truncated": false,
"block": 9,
"row": 9846
},
{
"path": "deepcell/applications/label_detection_test.py",
"sha256": "17686f338dce1a2da28d9d166a27d91f271e123313459be3da8ac111277b1c85",
"language": "Python",
"lines": 62,
"truncated": false,
"block": 9,
"row": 7749
},
{
"path": "deepcell/applications/mesmer.py",
"sha256": "8d8927100b6d4eb24c8477fd1fb3822a2e23328c0df97fc7ea4995cf1ade1ebe",
"language": "Python",
"lines": 287,
"truncated": false,
"block": 9,
"row": 10827
},
{
"path": "deepcell/applications/mesmer_test.py",
"sha256": "3a35145349a4278fa5a62af6c54a25b1381bef1ed2b5c21b7834853c12aa4668",
"language": "Python",
"lines": 237,
"truncated": false,
"block": 9,
"row": 10584
},
{
"path": "deepcell/applications/multiplex_segmentation.py",
"sha256": "2edb267819e87e1662d9f5a5958d96cac4eb1365c56fd0d0094351a6be3f9dcf",
"language": "Python",
"lines": 7,
"truncated": false,
"block": 9,
"row": 6415
},
{
"path": "deepcell/applications/nuclear_segmentation.py",
"sha256": "b2c174d017a084af0b8c4b2cc08f2632a7b66575345203a135c1a07e77702117",
"language": "Python",
"lines": 199,
"truncated": false,
"block": 9,
"row": 9937
},
{
"path": "deepcell/applications/nuclear_segmentation_test.py",
"sha256": "1fafb08ad24ed22afab23adf701af4ddb9ae5c7bd3d8fdfcfd30d91a6c7b51b4",
"language": "Python",
"lines": 38,
"truncated": false,
"block": 9,
"row": 7230
},
{
"path": "deepcell/applications/scale_detection.py",
"sha256": "67170ba38e3daf6f93e3697847b5e7553245196bb8584f65ae977a89a56f4eff",
"language": "Python",
"lines": 174,
"truncated": false,
"block": 9,
"row": 9807
},
{
"path": "deepcell/applications/scale_detection_test.py",
"sha256": "8d1b0731c33e37a74af0c0365ead91ff17a8d751c390b34720d66b9021b72d22",
"language": "Python",
"lines": 60,
"truncated": false,
"block": 9,
"row": 7703
},
{
"path": "deepcell/callbacks.py",
"sha256": "542a593fe24dd32914317ceb6fee7724a0a63ba5a3ed4c3ea0a67db7002babd3",
"language": "Python",
"lines": 51,
"truncated": false,
"block": 9,
"row": 7563
},
{
"path": "deepcell/callbacks_test.py",
"sha256": "f36944cb536784e44899eabe774e4b60e2f7d3c595b1b0a986c3f128a7888a5d",
"language": "Python",
"lines": 35,
"truncated": false,
"block": 9,
"row": 7121
},
{
"path": "deepcell/data/__init__.py",
"sha256": "1751c84dcaf355eb71ec90f24e6a5f3efc8cd620a26789b8c2061e9af03d50b0",
"language": "Python",
"lines": 51,
"truncated": false,
"block": 9,
"row": 7816
},
{
"path": "deepcell/data/tracking.py",
"sha256": "036a262f502b14c58230939b96e8333333e95f6bc40e629a0ca9aa34f68427f3",
"language": "Python",
"lines": 442,
"truncated": false,
"block": 9,
"row": 11581
},
{
"path": "deepcell/data/tracking_test.py",
"sha256": "75735c3a32bfb0d32c1e7fbe83cddb5375256b95f429566977db2a8d26edd256",
"language": "Python",
"lines": 267,
"truncated": false,
"block": 9,
"row": 10748
},
{
"path": "deepcell/datasets/__init__.py",
"sha256": "583ed0568864fe45b65d2257980215c9c698a7060bda5f4d1820b934d8687f74",
"language": "Python",
"lines": 12,
"truncated": false,
"block": 9,
"row": 6492
},
{
"path": "deepcell/datasets/dataset.py",
"sha256": "3845efa7ede0655cc33bd0e3cad3fdf95ab19a0a0f2f4594cd34449715d023f1",
"language": "Python",
"lines": 191,
"truncated": false,
"block": 9,
"row": 9713
},
{
"path": "deepcell/datasets/dataset_test.py",
"sha256": "7d85501a4b6b341ff02b5e98bc2a60e5f9f60d807546984c4b214fdd30fc8468",
"language": "Python",
"lines": 122,
"truncated": false,
"block": 9,
"row": 8910
},
{
"path": "deepcell/datasets/dynamic_nuclear_net.py",
"sha256": "20fbd412222c45bbb17357b215753b02d2b041bf6ebbe3b710a033bed3fb8f8b",
"language": "Python",
"lines": 118,
"truncated": false,
"block": 9,
"row": 9253
},
{
"path": "deepcell/datasets/spot_net.py",
"sha256": "cf6f3c1320103362208f0d6b32785bca067e98a17d664a30ab371299c3a070d8",
"language": "Python",
"lines": 117,
"truncated": false,
"block": 9,
"row": 9081
},
{
"path": "deepcell/datasets/tissue_net.py",
"sha256": "6a6732a2f7363e0edd048437546abd8b4c9e6ffca05063ba6d48f5724b65a1c4",
"language": "Python",
"lines": 77,
"truncated": false,
"block": 9,
"row": 8632
},
{
"path": "deepcell/image_generators/__init__.py",
"sha256": "e4995b6979c83333d89ea07d3a86b8cb6b270b250277b2eac637b21df4b78f23",
"language": "Python",
"lines": 269,
"truncated": false,
"block": 9,
"row": 10915
},
{
"path": "deepcell/image_generators/cropping.py",
"sha256": "035cb5ff23f13a866e0517a168d112e7a9b5563e362c3cb33c930363e2fc1571",
"language": "Python",
"lines": 468,
"truncated": false,
"block": 9,
"row": 11854
},
{
"path": "deepcell/image_generators/fully_convolutional.py",
"sha256": "65a1d7b8a18cb31e323b098251603de73bf132478e696e4c2e97a1cb62968ba7",
"language": "Python",
"lines": 729,
"truncated": false,
"block": 9,
"row": 12255
},
{
"path": "deepcell/image_generators/image_generators_test.py",
"sha256": "f7a7c54ef9a02a36f0eaf6ff5a624cbf287e1b465ace69fd9f01924f21780b6a",
"language": "Python",
"lines": 2490,
"truncated": false,
"block": 9,
"row": 12651
},
{
"path": "deepcell/image_generators/sample.py",
"sha256": "f8e600b1c8512ab43e3e146b27e1102fad592d66cebcc20247e13218a7412b4e",
"language": "Python",
"lines": 668,
"truncated": false,
"block": 9,
"row": 12196
},
{
"path": "deepcell/image_generators/scale.py",
"sha256": "f4e423c84159c18d390b09d07b0f8a9bec0cfae1795f60e15319224a020d1690",
"language": "Python",
"lines": 257,
"truncated": false,
"block": 9,
"row": 10985
},
{
"path": "deepcell/image_generators/semantic.py",
"sha256": "cae8c2ed1fdfb9f481d82267b267c7d3635c35dbd20fef604a78b598d8a3849c",
"language": "Python",
"lines": 1641,
"truncated": false,
"block": 9,
"row": 12580
},
{
"path": "deepcell/image_generators/tracking.py",
"sha256": "6bd9b81a664e38e16618d023f1db7c0848925a2e7c534a1a44ba5427f94d55bd",
"language": "Python",
"lines": 937,
"truncated": false,
"block": 9,
"row": 12428
},
{
"path": "deepcell/layers/__init__.py",
"sha256": "9c671d3eaca9e36e6d3ac4eff09640ec16d5a98aa8a90c43f04f15b3ece6fe4b",
"language": "Python",
"lines": 21,
"truncated": false,
"block": 9,
"row": 7020
},
{
"path": "deepcell/layers/location.py",
"sha256": "986f0f9b907073790ff2f89485d08a61cecd77cabeac6fb975f9af5e52c623b6",
"language": "Python",
"lines": 142,
"truncated": false,
"block": 9,
"row": 9582
},
{
"path": "deepcell/layers/location_test.py",
"sha256": "b3e6d2598bcb228cf5aed890bbbb146cb05b7133e19334d583c3c582de48cbbe",
"language": "Python",
"lines": 40,
"truncated": false,
"block": 9,
"row": 7412
},
{
"path": "deepcell/layers/normalization.py",
"sha256": "db8904436df90af5e13c93cf1a79adb029d4681039ce6d101e3518ca1a970ecf",
"language": "Python",
"lines": 380,
"truncated": false,
"block": 9,
"row": 11600
},
{
"path": "deepcell/layers/normalization_test.py",
"sha256": "c5aaa0ecafdd31b2adb81ada4310529719d91ccdeba0c9923e694685d4d6cdac",
"language": "Python",
"lines": 98,
"truncated": false,
"block": 9,
"row": 9198
},
{
"path": "deepcell/layers/padding.py",
"sha256": "08a94b1bb9ba02192cf003ee31dcd6498528ca3f695dfb2a81b281fd3640b8ab",
"language": "Python",
"lines": 68,
"truncated": false,
"block": 9,
"row": 8563
},
{
"path": "deepcell/layers/padding_test.py",
"sha256": "97774c597efa74b5d5991438e4f08e9fbe70312a0510a45c01b42d59c940f4f3",
"language": "Python",
"lines": 150,
"truncated": false,
"block": 9,
"row": 10073
},
{
"path": "deepcell/layers/pooling.py",
"sha256": "0e9d83ad37fe3e1cd4fb6c7657a131e34bde720624d68190a807d8c2f735609e",
"language": "Python",
"lines": 298,
"truncated": false,
"block": 9,
"row": 11177
},
{
"path": "deepcell/layers/pooling_test.py",
"sha256": "c10f7297774051af7e42a52b6d6f4617b9a38497da6e945740fe2d550ca4cd69",
"language": "Python",
"lines": 73,
"truncated": false,
"block": 9,
"row": 8586
},
{
"path": "deepcell/layers/temporal.py",
"sha256": "775463f07603ef78f7f1371c752a7cf9ea68f2be9a084debde94d83419914dac",
"language": "Python",
"lines": 86,
"truncated": false,
"block": 9,
"row": 8298
},
{
"path": "deepcell/layers/temporal_test.py",
"sha256": "afe8a1201507d9c8b941eb54f2eba61add20501b9eb8404e17fed5c1c5d25fa1",
"language": "Python",
"lines": 108,
"truncated": false,
"block": 9,
"row": 8911
},
{
"path": "deepcell/layers/tensor_product.py",
"sha256": "c7bb81e8abffad1da996956edc88b54221f5131d072feef7f2be4af3fe13b012",
"language": "Python",
"lines": 188,
"truncated": false,
"block": 9,
"row": 10426
},
{
"path": "deepcell/layers/tensor_product_test.py",
"sha256": "ca001f85adfde5d0d56d3fb6ff1fe2350e9e909bcb5982d47770be2d1479825b",
"language": "Python",
"lines": 82,
"truncated": false,
"block": 9,
"row": 8373
},
{
"path": "deepcell/layers/upsample.py",
"sha256": "627cc300e0b3f5013d1f57c2e684aac3e64f33291e08e67e2150a97ef61b68fc",
"language": "Python",
"lines": 116,
"truncated": false,
"block": 9,
"row": 9270
},
{
"path": "deepcell/layers/upsample_test.py",
"sha256": "a52015895fdef6062d34af1da4eeb77c7a6d5bbe153fc191f85cd6b6a3c93e8e",
"language": "Python",
"lines": 113,
"truncated": false,
"block": 9,
"row": 8940
},
{
"path": "deepcell/losses.py",
"sha256": "dad481e73b290701920d46ec2af076369d60f6cf0373b7468ff1cb3cf29388a5",
"language": "Python",
"lines": 293,
"truncated": false,
"block": 9,
"row": 11110
},
{
"path": "deepcell/losses_test.py",
"sha256": "3f0083b14b88b81e2f3924e63a3f0201f5b339356c30f35ad55b401c2181763f",
"language": "Python",
"lines": 44,
"truncated": false,
"block": 9,
"row": 7332
},
{
"path": "deepcell/metrics.py",
"sha256": "d0ad362740222f5f1154d8c7d13fbb911a04baa3a6d24f756684d4c54129c1d1",
"language": "Python",
"lines": 7,
"truncated": false,
"block": 9,
"row": 6521
},
{
"path": "deepcell/model_zoo/__init__.py",
"sha256": "a611130b59f8672c08b55446b7968df0342f85a9587c641f44e594e5705d6333",
"language": "Python",
"lines": 12,
"truncated": false,
"block": 9,
"row": 6623
},
{
"path": "deepcell/model_zoo/featurenet.py",
"sha256": "f317b544cdb378b41a9e370f9e5c3b28bff06c2770425aa1fe7de26dcc652008",
"language": "Python",
"lines": 550,
"truncated": false,
"block": 9,
"row": 11908
},
{
"path": "deepcell/model_zoo/featurenet_test.py",
"sha256": "ebdc92f8f99321eafdeb63e86924c2e0acf4a19ae19985e09f039bb3bd790d08",
"language": "Python",
"lines": 522,
"truncated": false,
"block": 9,
"row": 11690
},
{
"path": "deepcell/model_zoo/fpn.py",
"sha256": "724e242ccafa618de925021b635da18149080dfcd76c909e9d1ab0ef3724d1dc",
"language": "Python",
"lines": 508,
"truncated": false,
"block": 9,
"row": 11895
},
{
"path": "deepcell/model_zoo/panopticnet.py",
"sha256": "256ab545109bec1b5e52cf925e73a4f3e34bb7217de2fd60cedbd88605f4ceb9",
"language": "Python",
"lines": 284,
"truncated": false,
"block": 9,
"row": 11058
},
{
"path": "deepcell/model_zoo/panopticnet_test.py",
"sha256": "f9eb44d8cb5f3214b4b58813c65ee4aab928623e7bf0d82e389f45fef58a386e",
"language": "Python",
"lines": 405,
"truncated": false,
"block": 9,
"row": 11305
},
{
"path": "deepcell/model_zoo/tracking.py",
"sha256": "fe01d671aa07f896e6dcfa7e4346384406ccb8ea899e7fc4e273ff07bda3722a",
"language": "Python",
"lines": 601,
"truncated": false,
"block": 9,
"row": 12113
},
{
"path": "deepcell/model_zoo/tracking_test.py",
"sha256": "9789144cecc4d46bf29d5fe0fdfd0d09cbb984b7889a9fb0cecf6ce1a8d72d7c",
"language": "Python",
"lines": 11,
"truncated": false,
"block": 9,
"row": 6487
},
{
"path": "deepcell/running.py",
"sha256": "71d73093db4611e93ab15f667f0aedae1d3e3514619357dc5b05672593a6b6c8",
"language": "Python",
"lines": 192,
"truncated": false,
"block": 9,
"row": 10144
},
{
"path": "deepcell/running_test.py",
"sha256": "43fec39ea8b3df1d7beaa6cb6c0e5b577c7a8816fe26b5b168864646bc8284af",
"language": "Python",
"lines": 178,
"truncated": false,
"block": 9,
"row": 9820
},
{
"path": "deepcell/tracking.py",
"sha256": "d2d55c3641124ca6c5b42151d9e91860ab2684c3b917c760b98cb9b5271e86f6",
"language": "Python",
"lines": 5,
"truncated": false,
"block": 9,
"row": 6416
},
{
"path": "deepcell/training.py",
"sha256": "b865c3505dab456de777696f49d98fb9f8b5992105a858a64fe825d3e6791e4e",
"language": "Python",
"lines": 564,
"truncated": false,
"block": 9,
"row": 11956
},
{
"path": "deepcell/utils/__init__.py",
"sha256": "28162f674ae42e43b155730ada9e5e7bdff6c74904dbb45544e2307b2b7a1bb4",
"language": "Python",
"lines": 48,
"truncated": false,
"block": 9,
"row": 7805
},
{
"path": "deepcell/utils/_auth.py",
"sha256": "ed8e4c8c65b03c3c7da53721ff94a172466946849fd8a9bdee3ffc1d71ef4f6a",
"language": "Python",
"lines": 173,
"truncated": false,
"block": 9,
"row": 9876
},
{
"path": "deepcell/utils/backbone_utils.py",
"sha256": "819bb6f832b249cec432e28b69662704ae4cc5a392d95514388eee5a80541d57",
"language": "Python",
"lines": 458,
"truncated": false,
"block": 9,
"row": 11764
},
{
"path": "deepcell/utils/backbone_utils_test.py",
"sha256": "bc4e6c86c861c4e3e41bf2a81454a2bdae32a36d717863b21209fb1b222cdf07",
"language": "Python",
"lines": 111,
"truncated": false,
"block": 9,
"row": 9116
},
{
"path": "deepcell/utils/data_utils.py",
"sha256": "5a9700e035d3690b0f8852c8a81f9365360fad7bd2fa25176c481d374d687824",
"language": "Python",
"lines": 481,
"truncated": false,
"block": 9,
"row": 11783
},
{
"path": "deepcell/utils/data_utils_test.py",
"sha256": "ba3fb249a977d9a8abfda2d7a8a1ecdb7212bd4efaa8fc39087bff4cc3d69c33",
"language": "Python",
"lines": 494,
"truncated": false,
"block": 9,
"row": 11953
},
{
"path": "deepcell/utils/export_utils.py",
"sha256": "47ffc4cf625ba9a41e93cfb0f0de455caaa86d3af754d0009e60aa26b7871946",
"language": "Python",
"lines": 125,
"truncated": false,
"block": 9,
"row": 9343
},
{
"path": "deepcell/utils/io_utils.py",
"sha256": "27987874d7de8150e2ffd283bb6575d5f05d08202feef9e7b5856d8e5e484dc0",
"language": "Python",
"lines": 78,
"truncated": false,
"block": 9,
"row": 8384
},
{
"path": "deepcell/utils/io_utils_test.py",
"sha256": "f639dbf022c66ebf7fa4d4470fac7d81601d34178501ecc4376287cce8bdcb2c",
"language": "Python",
"lines": 58,
"truncated": false,
"block": 9,
"row": 7985
},
{
"path": "deepcell/utils/misc_utils.py",
"sha256": "58636a290efdc0de03dce0e6e5792060e0c8697c98fe6b9c6c3786d95e5bf908",
"language": "Python",
"lines": 34,
"truncated": false,
"block": 9,
"row": 6993
},
{
"path": "deepcell/utils/misc_utils_test.py",
"sha256": "1322022cdfb75bba4fe96df46a8f1f6cf8a29f9a2bb5774306f61ad4d50dc527",
"language": "Python",
"lines": 25,
"truncated": false,
"block": 9,
"row": 6959
},
{
"path": "deepcell/utils/plot_utils.py",
"sha256": "1301460729dc3bfffe9211ee622b164d6ec9d0a774e70687de3eac6c2c7d70d9",
"language": "Python",
"lines": 247,
"truncated": false,
"block": 9,
"row": 10569
},
{
"path": "deepcell/utils/plot_utils_test.py",
"sha256": "a031f2eb70754eba163ec46f0150608c8377c680a7f18ca88853765e75117e6e",
"language": "Python",
"lines": 94,
"truncated": false,
"block": 9,
"row": 8809
},
{
"path": "deepcell/utils/tfrecord_utils.py",
"sha256": "2968fcdb862751bfff38bb3e44954e5450f26b82210ef8758bdfd0655a9ac1b8",
"language": "Python",
"lines": 508,
"truncated": false,
"block": 9,
"row": 11500
},
{
"path": "deepcell/utils/tfrecord_utils_test.py",
"sha256": "99a3c46542cd884603cffacbe4d351ea2e81c77fe5a195d85685b3ced6bf72ef",
"language": "Python",
"lines": 272,
"truncated": false,
"block": 9,
"row": 10522
},
{
"path": "deepcell/utils/tracking_utils.py",
"sha256": "aaa0ea459b75163f13626bd09a098c5d2da9b45f1c7423d793c328936a263935",
"language": "Python",
"lines": 10,
"truncated": false,
"block": 9,
"row": 6574
},
{
"path": "deepcell/utils/train_utils.py",
"sha256": "e24aa6be5c202a89f4ace37f15e63b4ea1046f9fa624eadb6e752dfb2fa8883f",
"language": "Python",
"lines": 82,
"truncated": false,
"block": 9,
"row": 8160
},
{
"path": "deepcell/utils/train_utils_test.py",
"sha256": "4d084119c9066b316cb3b5c5b7a894c5f192eaed4cadb6d5e077080af9f9f35c",
"language": "Python",
"lines": 45,
"truncated": false,
"block": 9,
"row": 7633
},
{
"path": "deepcell/utils/transform_utils.py",
"sha256": "0edb2b8af1f3c4547261cdc3d17d4b6384cc164114ff2da92f1ed2e279f08a66",
"language": "Python",
"lines": 404,
"truncated": false,
"block": 9,
"row": 11479
},
{
"path": "deepcell/utils/transform_utils_test.py",
"sha256": "870bcbd72ba26f84671756e05ca4afbc8b6f4694ca9779450dbb326b538d8cc5",
"language": "Python",
"lines": 417,
"truncated": false,
"block": 9,
"row": 11766
},
{
"path": "docs/source/applications/caliban.py",
"sha256": "b170a8f1af07a248daabacfa2d6b9c78b985b382981eff1c1b80870a5608af1d",
"language": "Python",
"lines": 219,
"truncated": false,
"block": 9,
"row": 9964
},
{
"path": "docs/source/applications/mesmer.py",
"sha256": "5a0dcffe9c449105b5f5161cc995231189d04bb9df81f5f6e2ca1330b726cfb3",
"language": "Python",
"lines": 273,
"truncated": false,
"block": 9,
"row": 10423
},
{
"path": "docs/source/conf.py",
"sha256": "403525daa23a3a9e1ac3aadc4f10611260f864bb4f45ffec5cf49a4f00125dff",
"language": "Python",
"lines": 309,
"truncated": false,
"block": 9,
"row": 10738
},
{
"path": "docs/source/datasets/dynamicnuclearnet.py",
"sha256": "9e4590a2b4a7e5efb726ebdc239e93e4db9d1dcd869c7e4756394ac5c6b17bb1",
"language": "Python",
"lines": 51,
"truncated": false,
"block": 9,
"row": 7501
},
{
"path": "docs/source/datasets/spotnet.py",
"sha256": "818c6cfbd3e1cd9dae8a7172efe782af4f87a9a740ce8147bcec295a4347c8a7",
"language": "Python",
"lines": 30,
"truncated": false,
"block": 9,
"row": 6903
},
{
"path": "docs/source/datasets/tissuenet.py",
"sha256": "5d7dc50c9b2afd386bb06a13a15d8b38dd0e589882c0488009d1826e3c9a8725",
"language": "Python",
"lines": 49,
"truncated": false,
"block": 9,
"row": 7932
},
{
"path": "notebooks/applications/Caliban-Application.ipynb",
"sha256": "7cd4c8b8e16135267afd521b6d1b690ad533f78372137703b8feb3010985b9db",
"language": "Jupyter",
"lines": 204,
"truncated": false,
"block": 9,
"row": 2392
},
{
"path": "notebooks/applications/Cytoplasm-Application.ipynb",
"sha256": "6fa3e5022892ac9642ea73552e3f3fcec8a624fcadbb6314a7b7dee3271a135c",
"language": "Jupyter",
"lines": 69,
"truncated": false,
"block": 9,
"row": 2231
},
{
"path": "notebooks/applications/Mesmer-Application.ipynb",
"sha256": "80ac38b61929c4d6de6d9037ca7ef4470f593bc7008edd0e1aa4c57dfa62d88e",
"language": "Jupyter",
"lines": 172,
"truncated": false,
"block": 9,
"row": 2413
},
{
"path": "notebooks/training/featurenets/Discriminative Loss 2D with FG-BG Separation.ipynb",
"sha256": "e9b41e54d3662093854039dfd475170425f76dd8398eb396dbcf93125d028de1",
"language": "Jupyter",
"lines": 648,
"truncated": false,
"block": 9,
"row": 2647
},
{
"path": "notebooks/training/featurenets/Discriminative Loss 3D with FG-BG Separation.ipynb",
"sha256": "31374c4ffddf248a1954e2b558af468a2085928701ab1642c59f6e0fdb6df17f",
"language": "Jupyter",
"lines": 459,
"truncated": false,
"block": 9,
"row": 2580
},
{
"path": "notebooks/training/featurenets/Interior-Edge Segmentation 2D Fully Convolutional.ipynb",
"sha256": "042aeaf35c71aa63cafdf593ccc886847b4b6c0c40cf2281f00b8669b022c8c9",
"language": "Jupyter",
"lines": 407,
"truncated": false,
"block": 9,
"row": 2532
},
{
"path": "notebooks/training/featurenets/Interior-Edge Segmentation 2D Sample Based.ipynb",
"sha256": "92c65e0f2d58335e323e5316a319caf7059841f9aa38e491ae9c925a495d8e2e",
"language": "Jupyter",
"lines": 418,
"truncated": false,
"block": 9,
"row": 2545
},
{
"path": "notebooks/training/featurenets/Interior-Edge Segmentation 3D Fully Convolutional.ipynb",
"sha256": "1ea0d167b8b18924eaf838ee3ca73dedc4245294b2ebb276597093207ed3e5b2",
"language": "Jupyter",
"lines": 437,
"truncated": false,
"block": 9,
"row": 2555
},
{
"path": "notebooks/training/featurenets/Interior-Edge Segmentation 3D Sample Based.ipynb",
"sha256": "636c6e8889fa78d99448352257f525faf10b69c2b35bfbe8a5997c34a7a72213",
"language": "Jupyter",
"lines": 425,
"truncated": false,
"block": 9,
"row": 2553
},
{
"path": "notebooks/training/featurenets/Watershed Transform 2D Fully Convolutional.ipynb",
"sha256": "2ad777f7df62402dfc76e56bc594fbe3a05441da4877e92270488f836ca95a3c",
"language": "Jupyter",
"lines": 434,
"truncated": false,
"block": 9,
"row": 2554
},
{
"path": "notebooks/training/featurenets/Watershed Transform 2D Sample Based.ipynb",
"sha256": "be1f529c0c939aa6e9e76c617c9954b291ada6d43f359195babe3eca01306d7c",
"language": "Jupyter",
"lines": 433,
"truncated": false,
"block": 9,
"row": 2559
},
{
"path": "notebooks/training/featurenets/Watershed Transform 3D Fully Convolutional.ipynb",
"sha256": "e31d1f57cc175da5cbcc95676443395ecea45bf6c06d85911f0dcc3a868e3cbf",
"language": "Jupyter",
"lines": 460,
"truncated": false,
"block": 9,
"row": 2570
},
{
"path": "notebooks/training/featurenets/Watershed Transform 3D Sample Based.ipynb",
"sha256": "0905cfde3c937ae42c804748e2f1f3ae7dfb3b464f36b32257cd0be71cd6a4bc",
"language": "Jupyter",
"lines": 443,
"truncated": false,
"block": 9,
"row": 2569
},
{
"path": "notebooks/training/misc/Label-Detection-Model.ipynb",
"sha256": "498c4ef0f21ef0fa51b7fe502df71c257088ff48afb98230dd97b360cfd412aa",
"language": "Jupyter",
"lines": 212,
"truncated": false,
"block": 9,
"row": 2376
},
{
"path": "notebooks/training/misc/Scale-Detection-Model.ipynb",
"sha256": "4c6fae3a589e99ef0da883142bfd61d4832f3356f54c22bce25cb5f968a40e71",
"language": "Jupyter",
"lines": 199,
"truncated": false,
"block": 9,
"row": 2360
},
{
"path": "notebooks/training/panopticnets/3D Nuclear Segmentation - Deep Watershed.ipynb",
"sha256": "91111250b66676a1b45005dfcd3e2630c3140b083ffffbc83ff255665deaf559",
"language": "Jupyter",
"lines": 587,
"truncated": false,
"block": 9,
"row": 2656
},
{
"path": "notebooks/training/panopticnets/Nuclear Segmentation - DeepWatershed.ipynb",
"sha256": "9adef978fd5288772d1efde3098b3e524789b89424282b087439291371fe7d4a",
"language": "Jupyter",
"lines": 372,
"truncated": false,
"block": 9,
"row": 2487
},
{
"path": "notebooks/training/tracking/Training and Tracking with GNNs.ipynb",
"sha256": "0594d8a88525fa8c24f602abee87561ce50e7b17758f10b2384c9b377dd9e973",
"language": "Jupyter",
"lines": 388,
"truncated": false,
"block": 9,
"row": 2502
},
{
"path": "setup.py",
"sha256": "8319abc4c9afbd1a86569cbb412886db60dd4b20efe679f704fee04b1bece6e0",
"language": "Python",
"lines": 73,
"truncated": false,
"block": 9,
"row": 8082
}
]
}