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Simon
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SavtaDepth
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  1. process_data:
    2. 

  2.   cmd: python3 src/code/make_dataset.py src/data/raw/nyu_depth_v2_labeled.mat src/data/raw/splits.mat
    3. 

  3.     src/data/processed
    4. 

  4.   deps:
    5. 

  5.   - path: src/code/make_dataset.py
    6. 

  6.     md5: e069c7323c9be16baedd8f988375e145
    7. 

  7.     size: 5256
    8. 

  8.   - path: src/data/raw/nyu_depth_v2_labeled.mat
    9. 

  9.     md5: 520609c519fba3ba5ac58c8fefcc3530
    10. 

  10.     size: 2972037809
    11. 

  11.   - path: src/data/raw/splits.mat
    12. 

  12.     md5: 08e3c3aea27130ac7c01ffd739a4535f
    13. 

  13.     size: 2626
    14. 

  14.   outs:
    15. 

  15.   - path: src/data/processed/
    16. 

  16.     md5: 9a1f43f46e8b1c387532e994e721d57d.dir
    17. 

  17.     size: 197717291
    18. 

  18.     nfiles: 2898
    19. 

  19. train:
    20. 

  20.   cmd: python3 src/code/training.py src/data/processed/train
    21. 

  21.   deps:
    22. 

  22.   - path: src/code/custom_data_loading.py
    23. 

  23.     md5: c94ea029ed76ca94bb1ad4c1655e5e68
    24. 

  24.     size: 1916
    25. 

  25.   - path: src/code/params.yml
    26. 

  26.     md5: 2263ca2167c1bb4b0f53a9aedb5f238e
    27. 

  27.     size: 217
    28. 

  28.   - path: src/code/training.py
    29. 

  29.     md5: e3dff7f4b59e4ebf818d7631d3e6803a
    30. 

  30.     size: 1683
    31. 

  31.   - path: src/data/processed/train
    32. 

  32.     md5: 9956d748dcadc3abadd1ff966a6e2b92.dir
    33. 

  33.     size: 109120921
    34. 

  34.     nfiles: 1590
    35. 

  35.   outs:
    36. 

  36.   - path: logs/train_metrics.csv
    37. 

  37.     md5: 437a06e6c6c5b4f6eec5e546c1ce6930
    38. 

  38.     size: 103916
    39. 

  39.   - path: logs/train_params.yml
    40. 

  40.     md5: e06e92ac0f3ac1d367c22a10c28cccf9
    41. 

  41.     size: 886
    42. 

  42.   - path: src/models/
    43. 

  43.     md5: fab42526c433987e0e6370db31a1869d.dir
    44. 

  44.     size: 494927196
    45. 

  45.     nfiles: 1
    46. 

  46. eval:
    47. 

  47.   cmd: python3 src/code/eval.py src/data/processed/test
    48. 

  48.   deps:
    49. 

  49.   - path: src/code/custom_data_loading.py
    50. 

  50.     md5: c94ea029ed76ca94bb1ad4c1655e5e68
    51. 

  51.     size: 1916
    52. 

  52.   - path: src/code/eval.py
    53. 

  53.     md5: fcc66ed80bb4466ab0438f556acd125c
    54. 

  54.     size: 1775
    55. 

  55.   - path: src/code/eval_metric_calculation.py
    56. 

  56.     md5: 2fc866e1107042a996087d5716d44bf0
    57. 

  57.     size: 2999
    58. 

  58.   - path: src/code/params.yml
    59. 

  59.     md5: 2263ca2167c1bb4b0f53a9aedb5f238e
    60. 

  60.     size: 217
    61. 

  61.   - path: src/data/processed/test
    62. 

  62.     md5: bcccd66f3f561b53ba97c89a558c08a0.dir
    63. 

  63.     size: 88596370
    64. 

  64.     nfiles: 1308
    65. 

  65.   - path: src/models/model.pth
    66. 

  66.     md5: 2fd77305fd779eefd11e307ee3f201d7
    67. 

  67.     size: 494927196
    68. 

  68.   outs:
    69. 

  69.   - path: logs/test_metrics.csv
    70. 

  70.     md5: 0add355c58eb4dfa1ae7e28e47750d33
    71. 

  71.     size: 340
    72.
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Set key
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Use Azure Cloud Storage!

Browsing data directories saved to Azure Cloud Storage is possible with DAGsHub. Let's configure your repository to easily display your data in the context of any commit!

Specify your Azure Storage bucket

Access key (If needed)

Congratulations!

SavtaDepth is now integrated with Azure Cloud Storage!

Delete Storage Key

Are you sure you want to delete this access key?

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