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kalyanchakravarthych
/
FSDS_NOV_deepCNNClassifier
connected to https://github.com/kalyanchakravarthych/FSDS_NOV_deepCNNClassifier.git

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  1. schema: '2.0'
    2. 

  2. stages:
    3. 

  3.   data_ingestion:
    4. 

  4.     cmd: python src/deepClassifier/pipeline/stage_01_data_ingestion.py
    5. 

  5.     deps:
    6. 

  6.     - path: configs/config.yaml
    7. 

  7.       md5: 11cc5642ba2725648da24e6823250f7d
    8. 

  8.       size: 831
    9. 

  9.     - path: src/deepClassifier/pipeline/stage_01_data_ingestion.py
    10. 

  10.       md5: f172a70cf599c77bbef01c290e2c9f6c
    11. 

  11.       size: 717
    12. 

  12.     outs:
    13. 

  13.     - path: artifacts/data_ingestion/PetImages
    14. 

  14.       md5: 3a5cf86541f22c236620ce5b952ad684.dir
    15. 

  15.       size: 848866410
    16. 

  16.       nfiles: 24998
    17. 

  17.   prepare_base_model:
    18. 

  18.     cmd: python src/deepClassifier/pipeline/stage_02_prepare_base_model.py
    19. 

  19.     deps:
    20. 

  20.     - path: configs/config.yaml
    21. 

  21.       md5: 11cc5642ba2725648da24e6823250f7d
    22. 

  22.       size: 831
    23. 

  23.     - path: src/deepClassifier/pipeline/stage_02_prepare_base_model.py
    24. 

  24.       md5: 2d3e3ea4e6b3b70a34bb9e158e24c2ea
    25. 

  25.       size: 793
    26. 

  26.     params:
    27. 

  27.       params.yaml:
    28. 

  28.         CLASSES: 2
    29. 

  29.         IMAGE_SIZE:
    30. 

  30.         - 224
    31. 

  31.         - 224
    32. 

  32.         - 3
    33. 

  33.         INCLUDE_TOP: false
    34. 

  34.         LEARNING_RATE: 0.01
    35. 

  35.         WEIGHTS: imagenet
    36. 

  36.     outs:
    37. 

  37.     - path: artifacts/prepare_base_model
    38. 

  38.       md5: ab6c456706dce2780076b6ff43c99bcd.dir
    39. 

  39.       size: 118053368
    40. 

  40.       nfiles: 2
    41. 

  41.   training:
    42. 

  42.     cmd: python src/deepClassifier/pipeline/stage_03_training.py
    43. 

  43.     deps:
    44. 

  44.     - path: artifacts/data_ingestion/PetImages
    45. 

  45.       md5: 3a5cf86541f22c236620ce5b952ad684.dir
    46. 

  46.       size: 848866410
    47. 

  47.       nfiles: 24998
    48. 

  48.     - path: artifacts/prepare_base_model
    49. 

  49.       md5: ab6c456706dce2780076b6ff43c99bcd.dir
    50. 

  50.       size: 118053368
    51. 

  51.       nfiles: 2
    52. 

  52.     - path: configs/config.yaml
    53. 

  53.       md5: 11cc5642ba2725648da24e6823250f7d
    54. 

  54.       size: 831
    55. 

  55.     - path: src/deepClassifier/components/prepare_callback.py
    56. 

  56.       md5: b27788e9a2ef6b98bb6c03d9cd76ee48
    57. 

  57.       size: 916
    58. 

  58.     - path: src/deepClassifier/pipeline/stage_03_training.py
    59. 

  59.       md5: b544965e110cbf58357a4947c0120426
    60. 

  60.       size: 1005
    61. 

  61.     params:
    62. 

  62.       params.yaml:
    63. 

  63.         AUGMENTATION: true
    64. 

  64.         BATCH_SIZE: 16
    65. 

  65.         EPOCHS: 1
    66. 

  66.         IMAGE_SIZE:
    67. 

  67.         - 224
    68. 

  68.         - 224
    69. 

  69.         - 3
    70. 

  70.     outs:
    71. 

  71.     - path: artifacts/training/model.h5
    72. 

  72.       md5: 2b8c5b8d8c3c27a11cb57775fc840236
    73. 

  73.       size: 59135136
    74. 

  74.   evaluation:
    75. 

  75.     cmd: python src/deepClassifier/pipeline/stage_04_evaluation.py
    76. 

  76.     deps:
    77. 

  77.     - path: artifacts/data_ingestion/PetImages
    78. 

  78.       md5: 3a5cf86541f22c236620ce5b952ad684.dir
    79. 

  79.       size: 848866410
    80. 

  80.       nfiles: 24998
    81. 

  81.     - path: artifacts/training/model.h5
    82. 

  82.       md5: 2b8c5b8d8c3c27a11cb57775fc840236
    83. 

  83.       size: 59135136
    84. 

  84.     - path: configs/config.yaml
    85. 

  85.       md5: 11cc5642ba2725648da24e6823250f7d
    86. 

  86.       size: 831
    87. 

  87.     - path: src/deepClassifier/pipeline/stage_04_evaluation.py
    88. 

  88.       md5: 16274682083d12ad866d6e96b19cc5af
    89. 

  89.       size: 699
    90. 

  90.     params:
    91. 

  91.       params.yaml:
    92. 

  92.         BATCH_SIZE: 16
    93. 

  93.         IMAGE_SIZE:
    94. 

  94.         - 224
    95. 

  95.         - 224
    96. 

  96.         - 3
    97. 

  97.     outs:
    98. 

  98.     - path: scores.json
    99. 

  99.       md5: 2a2199d913c0e929d1f22b2c09aa8bb6
    100. 

  100.       size: 73
    101.
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