{
 "format": "oscr-script-manifest/1",
 "repository": "github.com/miclab-unicamp/medpseg",
 "url": "https://github.com/MICLab-Unicamp/medpseg",
 "host": "github.com",
 "commit": "1e6617dc0f9e853596bea69a28787c76efa15b35",
 "license": "MIT",
 "license_confirmed_by": "license file LICENSE",
 "redistribution": "yes",
 "files": [
  {
   "path": "LICENSE",
   "sha256": "c98cc8f67c4ed4a6a68e3ece73431edd11b1a0edf7b567dec4923eb99cc764b6",
   "language": "License",
   "lines": 21,
   "truncated": false,
   "block": 6,
   "row": 1872
  },
  {
   "path": "README.md",
   "sha256": "ede37cec449b40a7650170c468dfd07606afb3eaa80b6acc04a1a3722f975f6f",
   "language": "Text",
   "lines": 188,
   "truncated": false,
   "block": 8,
   "row": 10751
  },
  {
   "path": "install.sh",
   "sha256": "5f798e09b8b0aa01443e937bf9ae7e0d0d47edbb7ac2fe5e85ddee8339afdb99",
   "language": "Shell",
   "lines": 16,
   "truncated": false,
   "block": 8,
   "row": 7379
  },
  {
   "path": "medpseg/__init__.py",
   "sha256": "43469667e7e4929f03f47317a7c0fce197d7f902eb42b61a9abbe507933278f0",
   "language": "Python",
   "lines": 23,
   "truncated": false,
   "block": 6,
   "row": 24952
  },
  {
   "path": "medpseg/architecture.py",
   "sha256": "41e763fca3316504c5970ec138daf4e0dcae1c2e7614b39e72b0eabdd1ef99d1",
   "language": "Python",
   "lines": 310,
   "truncated": false,
   "block": 7,
   "row": 6659
  },
  {
   "path": "medpseg/atm_evaluation.py",
   "sha256": "8db83669f83fb40d6285485641f3fcc4a90f15742217a7be2a372c617f3a0a2b",
   "language": "Python",
   "lines": 78,
   "truncated": false,
   "block": 6,
   "row": 35573
  },
  {
   "path": "medpseg/combined_loss.py",
   "sha256": "a57b65abb52053b18579036632c519aedce810859705f5c14ec47d228f2d9cc2",
   "language": "Python",
   "lines": 68,
   "truncated": false,
   "block": 6,
   "row": 35289
  },
  {
   "path": "medpseg/edet/__init__.py",
   "sha256": "6065c41272d3c0f7a246089cce7a7847e4b1435dde5f2cb0a1f212a69b1dec08",
   "language": "Python",
   "lines": 1,
   "truncated": false,
   "block": 6,
   "row": 20591
  },
  {
   "path": "medpseg/edet/efficientdet/config.py",
   "sha256": "8316e794621e4d0795264bf28ccc5303cc0a33fe8b9bd479f2e70ba96a3a93d4",
   "language": "Python",
   "lines": 26,
   "truncated": false,
   "block": 6,
   "row": 34731
  },
  {
   "path": "medpseg/edet/efficientdet/loss.py",
   "sha256": "699d13deebbee9614fa1b57798ec3825620240280a57f40dd94ea51901fce7c7",
   "language": "Python",
   "lines": 176,
   "truncated": false,
   "block": 6,
   "row": 44869
  },
  {
   "path": "medpseg/edet/efficientdet/model.py",
   "sha256": "61b6b5bd4bda5f891f0783bfe61c03d3dc24c805bd5ea44fa7d60fe4a37aca03",
   "language": "Python",
   "lines": 598,
   "truncated": false,
   "block": 7,
   "row": 10092
  },
  {
   "path": "medpseg/edet/efficientdet/utils.py",
   "sha256": "be6b0acb87383bece5626f796c5bedf01f59a65d66a3fbfbc91e3318f7a25022",
   "language": "Python",
   "lines": 235,
   "truncated": false,
   "block": 7,
   "row": 1404
  },
  {
   "path": "medpseg/edet/efficientnet/__init__.py",
   "sha256": "58628099420824e8f0dc5cf7b3bb327347b218271e8b389d73359c709d2895ae",
   "language": "Python",
   "lines": 10,
   "truncated": false,
   "block": 6,
   "row": 21283
  },
  {
   "path": "medpseg/edet/efficientnet/model.py",
   "sha256": "bd399b3ecdc72132c5fb64609467c834da9f68d610c8ec1c96cb9f2c527486f3",
   "language": "Python",
   "lines": 237,
   "truncated": false,
   "block": 7,
   "row": 2756
  },
  {
   "path": "medpseg/edet/efficientnet/utils.py",
   "sha256": "8c620a5979889d28ed75c831764c2aa6841a8ca4dbf001ab85a8390a9f828dfe",
   "language": "Python",
   "lines": 317,
   "truncated": false,
   "block": 7,
   "row": 5553
  },
  {
   "path": "medpseg/edet/efficientnet/utils_extra.py",
   "sha256": "1cdc75af9d1f7fc76f2d33d59d5caf4cfe28afbbbc3a8b4cd1d4deba0dc9c68f",
   "language": "Python",
   "lines": 86,
   "truncated": false,
   "block": 6,
   "row": 34695
  },
  {
   "path": "medpseg/edet/modeling_efficientdet.py",
   "sha256": "f7d2b3ead9167544306d9bb08fa3df6421cb3fc2ca7c83bd6db1ca7a0aef051b",
   "language": "Python",
   "lines": 345,
   "truncated": false,
   "block": 7,
   "row": 9158
  },
  {
   "path": "medpseg/edet/utils/sync_batchnorm/__init__.py",
   "sha256": "e3c3a01807ae73ae4b21d742ee2f89e4e783841dbfc983b1ce57890e6e1009e1",
   "language": "Python",
   "lines": 13,
   "truncated": false,
   "block": 6,
   "row": 23380
  },
  {
   "path": "medpseg/edet/utils/sync_batchnorm/batchnorm.py",
   "sha256": "d675d8b2957faf158bbaab746d2ea8bcd64b34d3f34950096e780a3ca482b41d",
   "language": "Python",
   "lines": 396,
   "truncated": false,
   "block": 7,
   "row": 7015
  },
  {
   "path": "medpseg/edet/utils/sync_batchnorm/batchnorm_reimpl.py",
   "sha256": "773e9c388fecbaff9347fae66e6009b266e10f08c926d05c3a5394cc82c3553b",
   "language": "Python",
   "lines": 74,
   "truncated": false,
   "block": 6,
   "row": 33560
  },
  {
   "path": "medpseg/edet/utils/sync_batchnorm/comm.py",
   "sha256": "9d2e776a0398e5ac29ce13d43b7475300f70f409e56f3c38428029000557a57a",
   "language": "Python",
   "lines": 137,
   "truncated": false,
   "block": 6,
   "row": 39993
  },
  {
   "path": "medpseg/edet/utils/sync_batchnorm/replicate.py",
   "sha256": "4498b873404fce05202d4f891262e249a95733816d3877e3aee3d2401138a6af",
   "language": "Python",
   "lines": 94,
   "truncated": false,
   "block": 6,
   "row": 36573
  },
  {
   "path": "medpseg/edet/utils/sync_batchnorm/unittest.py",
   "sha256": "7f0fdfb71efe0458707a66525e932af4cd58d2c65e8cab42b26ded60a451abb2",
   "language": "Python",
   "lines": 29,
   "truncated": false,
   "block": 6,
   "row": 24153
  },
  {
   "path": "medpseg/edet/utils/utils.py",
   "sha256": "5f64b70681faa8eb9202a27d06f656b6dfd9a85eb03d5d40e79f0df25164084d",
   "language": "Python",
   "lines": 300,
   "truncated": false,
   "block": 7,
   "row": 4648
  },
  {
   "path": "medpseg/eval_2d_utils.py",
   "sha256": "49535fd8f38abcacfd34ddf51bc334938c36ed9215255a45ded9910be27eed92",
   "language": "Python",
   "lines": 162,
   "truncated": false,
   "block": 6,
   "row": 44618
  },
  {
   "path": "medpseg/evaluation/reproduce_evaluation.py",
   "sha256": "0939a55d3c3db81ab880b5bed3da5933392a6a2aac2a21e935afab34288649a4",
   "language": "Python",
   "lines": 274,
   "truncated": false,
   "block": 7,
   "row": 4382
  },
  {
   "path": "medpseg/gui.py",
   "sha256": "a82b00b73524ceba4778fedec857c3d7b9ba0aeccaf877c4a387450407cd7028",
   "language": "Python",
   "lines": 510,
   "truncated": false,
   "block": 7,
   "row": 9257
  },
  {
   "path": "medpseg/hu_clip_norm_module.py",
   "sha256": "639e7950e878ddfb7d48f7a28dde56735eec63031f56af922f98c5c285f856b0",
   "language": "Python",
   "lines": 63,
   "truncated": false,
   "block": 6,
   "row": 32467
  },
  {
   "path": "medpseg/image_read.py",
   "sha256": "5358353b0e9f13884df84982c2e6df63ffbb9a15a7eb785c97d6d7dd8d0d975d",
   "language": "Python",
   "lines": 108,
   "truncated": false,
   "block": 6,
   "row": 37997
  },
  {
   "path": "medpseg/lober_monai.py",
   "sha256": "b135788aa51727ed3dfef8d9bd8ab75876fb9e2ef9e5cc3e2eeaf29b52759a53",
   "language": "Python",
   "lines": 143,
   "truncated": false,
   "block": 6,
   "row": 39383
  },
  {
   "path": "medpseg/monitoring.py",
   "sha256": "61928ae57c03f172c6d990418164ee63ee4ad4a7feeaa8e4c0dda70172b7af51",
   "language": "Python",
   "lines": 38,
   "truncated": false,
   "block": 6,
   "row": 25749
  },
  {
   "path": "medpseg/pipeline.py",
   "sha256": "7c1345437e20c4c985acdbd1fd55bec9f260c0bd488e40aeecd73857b3cf67ee",
   "language": "Python",
   "lines": 660,
   "truncated": false,
   "block": 7,
   "row": 10598
  },
  {
   "path": "medpseg/poly_pipeline.py",
   "sha256": "6d0c96c1d651178bbbe10b7b9fb8c5eaf52e1d39eca48bf99e346af972d42d86",
   "language": "Python",
   "lines": 355,
   "truncated": false,
   "block": 7,
   "row": 7190
  },
  {
   "path": "medpseg/poly_seg_2d_module.py",
   "sha256": "cea42421c8f3bd2a84a82a4410e9f59364f8b09d5044495467f8331cd711bb71",
   "language": "Python",
   "lines": 777,
   "truncated": false,
   "block": 7,
   "row": 11631
  },
  {
   "path": "medpseg/poly_seg_3d_module.py",
   "sha256": "6e7506b9c11d57a88df7806f3f70379aad3fd4aa57efecb0a6ce0719011b57ae",
   "language": "Python",
   "lines": 119,
   "truncated": false,
   "block": 6,
   "row": 40461
  },
  {
   "path": "medpseg/run.py",
   "sha256": "4dcdc4463657568a3d2ed8dec88d4cdc9a220acb57d61e42cc434e8934841c94",
   "language": "Python",
   "lines": 68,
   "truncated": false,
   "block": 6,
   "row": 36235
  },
  {
   "path": "medpseg/seg_metrics.py",
   "sha256": "42f2e0821dfd14d5b8f6b253d0e7a0ca2bd3cd49b5653ba74ffc517d38523218",
   "language": "Python",
   "lines": 195,
   "truncated": false,
   "block": 7,
   "row": 601
  },
  {
   "path": "medpseg/seg_pipeline.py",
   "sha256": "4bdf4ddcef312db9aff953c820bc27338d7b959c7cc51a43338c42fabc91d388",
   "language": "Python",
   "lines": 127,
   "truncated": false,
   "block": 6,
   "row": 43625
  },
  {
   "path": "medpseg/self_attention.py",
   "sha256": "4df308875bef08f2eb1f2dd374c66cda141d0cdc701fb07b21416b5b2b15623e",
   "language": "Python",
   "lines": 29,
   "truncated": false,
   "block": 6,
   "row": 26465
  },
  {
   "path": "medpseg/streamlit_server.py",
   "sha256": "3c5c39ec70389141ae253bcebcaf3ed87c99b3e1e57ed511e9d4ba355d0cd7e4",
   "language": "Python",
   "lines": 935,
   "truncated": false,
   "block": 7,
   "row": 11705
  },
  {
   "path": "medpseg/unet_v2.py",
   "sha256": "4bcd0699c9be2cedbf62293ddcc826df35fdfcf7ada1c8fcaab0d9113f600344",
   "language": "Python",
   "lines": 210,
   "truncated": false,
   "block": 7,
   "row": 694
  },
  {
   "path": "medpseg/utils/__init__.py",
   "sha256": "418604eb68e029f91f36a9273dfe85464d97a0a12d603b2346f3d81ef16a755b",
   "language": "Python",
   "lines": 323,
   "truncated": false,
   "block": 7,
   "row": 3227
  },
  {
   "path": "medpseg/utils/turbo_colormap.py",
   "sha256": "3ebdc6c0edd0e43413a71d007ea80431c3e9e7ad8974d7ba0a2121f40933dd33",
   "language": "Python",
   "lines": 31,
   "truncated": false,
   "block": 7,
   "row": 1148
  },
  {
   "path": "medpseg/utils/uncertainty.py",
   "sha256": "30fd65f4ac5fa22f39d2228a2d85b0e4cf68264ef86c0588dd7f7b846d14e6d0",
   "language": "Python",
   "lines": 35,
   "truncated": false,
   "block": 6,
   "row": 26354
  },
  {
   "path": "predict.sh",
   "sha256": "e73b79d581b983c87d575f7a8fe9a04cb922fb18ad32f1ba6d04d967c2a57b2d",
   "language": "Shell",
   "lines": 2,
   "truncated": false,
   "block": 8,
   "row": 6442
  },
  {
   "path": "streamlit_web_server.py",
   "sha256": "6b49a5d56eb17444534a9938ff02d667048cd2e28587b8105c02d6c23bd4ad7e",
   "language": "Python",
   "lines": 23,
   "truncated": false,
   "block": 6,
   "row": 24390
  }
 ]
}