OperationSavta
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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: fd5076d53909a47ce3b6598c26af6c97
    7. 

  7.     size: 3783
    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: d98a9647a37ab431bfa35815eb4afda0.dir
    17. 

  17.     size: 232903470
    18. 

  18.     nfiles: 2898
    19. 

  19. train:
    20. 

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

  21.   deps:
    22. 

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

  23.     md5: 9634e85cffa3cf72d3d3d7739e40969e
    24. 

  24.     size: 1645
    25. 

  25.   - path: src/data/processed/
    26. 

  26.     md5: d98a9647a37ab431bfa35815eb4afda0.dir
    27. 

  27.     size: 232903470
    28. 

  28.     nfiles: 2898
    29. 

  29.   outs:
    30. 

  30.   - path: src/models/
    31. 

  31.     md5: 18d26ed378b1b5ac61425afe153fc076.dir
    32. 

  32.     size: 494926829
    33. 

  33.     nfiles: 1
    34.