manifests/1a/github.com__cavelandiam__cnn-tep-detection.json

{
 "format": "oscr-script-manifest/1",
 "repository": "github.com/cavelandiam/cnn-tep-detection",
 "url": "https://github.com/cavelandiam/cnn-tep-detection",
 "host": "github.com",
 "commit": "6d4810d91aaca45db6cce713c951c839146b2eff",
 "license": "MIT",
 "license_confirmed_by": "license file LICENSE",
 "redistribution": "yes",
 "files": [
  {
   "path": "LICENSE",
   "sha256": "c37ab2015aa117ea6eb5eed4168c235af09a55c08aaef6e3c852b232c7e2c8bd",
   "language": "License",
   "lines": 21,
   "truncated": false,
   "block": 9,
   "row": 2841
  },
  {
   "path": "README.MD",
   "sha256": "d50b9fe597177e0758f6577e5900a6c88b04d721feb86b5f81dd146821145cd9",
   "language": "Text",
   "lines": 155,
   "truncated": false,
   "block": 9,
   "row": 14666
  },
  {
   "path": "main.py",
   "sha256": "f0591a4cd61a9ce22bc0fc74cb59ff5bceaa2e477e4c624643b21c94d72c91ab",
   "language": "Python",
   "lines": 84,
   "truncated": false,
   "block": 9,
   "row": 8168
  },
  {
   "path": "scripts/preprocess_rsna.py",
   "sha256": "f7fa2d751c293ad9c8e9b4e9cdb16c113b4063da01a383f76848d7a9603a43a7",
   "language": "Python",
   "lines": 395,
   "truncated": false,
   "block": 9,
   "row": 11268
  },
  {
   "path": "scripts/s1_improved_3dcnn_tep.py",
   "sha256": "acf6207ad0d188ac188962b6f7df5356a47452eba9902fbf8b03fa29bfaaf9d0",
   "language": "Python",
   "lines": 1034,
   "truncated": false,
   "block": 9,
   "row": 12439
  },
  {
   "path": "scripts/s1_improved_3dcnn_tep_copy1.py",
   "sha256": "f9c83790cd92cd540618391dfd9b57a9ffd6721b840481b59162e90ca7d9ab00",
   "language": "Python",
   "lines": 954,
   "truncated": false,
   "block": 9,
   "row": 12404
  },
  {
   "path": "scripts/s2_load_images_hucsr.py",
   "sha256": "50ee4074182e9c489cf972fa86f1753e8cca11cd8dd40bdd6af3104e0917cbb0",
   "language": "Python",
   "lines": 596,
   "truncated": false,
   "block": 9,
   "row": 11858
  },
  {
   "path": "scripts/s3_fine_tunning.py",
   "sha256": "163a7d0b8828ae8f3591a1806c174eb40f6751bdc1259654df6c926e2d75fdac",
   "language": "Python",
   "lines": 152,
   "truncated": false,
   "block": 9,
   "row": 10006
  },
  {
   "path": "scripts/s4_inference_tep.py",
   "sha256": "38866cf87f560c4b21f254926848ae715d81e04e08331949a2375dec78e15f00",
   "language": "Python",
   "lines": 214,
   "truncated": false,
   "block": 9,
   "row": 10410
  },
  {
   "path": "scripts/s4_inference_tep_v2.py",
   "sha256": "270f60f81aa4eaf30b9cb5e82fcb95a13fc8786edced0c0b51ed99f2742ab3dd",
   "language": "Python",
   "lines": 269,
   "truncated": false,
   "block": 9,
   "row": 10716
  },
  {
   "path": "scripts/steps/s1_preprocess_data_hucsr.py",
   "sha256": "19c3822a216dd24f0c22ed9f1645b806e718e51c87e0dd8acf0f0e658fba7157",
   "language": "Python",
   "lines": 594,
   "truncated": false,
   "block": 9,
   "row": 11849
  },
  {
   "path": "scripts/steps/s2_create_model.py",
   "sha256": "276133c0a48d9b63445ace272a1d040e1f905c8e8b4d980ce81c982aef28f0f0",
   "language": "Python",
   "lines": 403,
   "truncated": false,
   "block": 9,
   "row": 11692
  },
  {
   "path": "scripts/steps/s3_inference.py",
   "sha256": "75609f0f81ad1fe94b9561d23c62b1ea26fd69fb23c67cd82ebb06e3d976a532",
   "language": "Python",
   "lines": 330,
   "truncated": false,
   "block": 9,
   "row": 11002
  },
  {
   "path": "test.py",
   "sha256": "7c960aac6d0c000e83e229d4a1e41c94155c0d472eea419b052a3894bc79f38e",
   "language": "Python",
   "lines": 212,
   "truncated": false,
   "block": 9,
   "row": 10462
  },
  {
   "path": "utils/config.py",
   "sha256": "8138ec0ebacbd48b20b7af4ee243d266f0ad0ca33c7a97a3ba8b216a5b394c33",
   "language": "Python",
   "lines": 60,
   "truncated": false,
   "block": 9,
   "row": 8287
  },
  {
   "path": "utils/logger.py",
   "sha256": "8d65897d2de3cab399dd32f2ee5c83b9885fa1e417f2793225479f5b67162b0e",
   "language": "Python",
   "lines": 180,
   "truncated": false,
   "block": 9,
   "row": 9831
  },
  {
   "path": "utils/visualization.py",
   "sha256": "25385e24d4b1f31e5a9ce264f907fb15896683c0ab85dd9292497fee2da48d64",
   "language": "Python",
   "lines": 472,
   "truncated": false,
   "block": 9,
   "row": 11564
  }
 ]
}