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Divyanshu6797
/
ct-scan-Kidney
connected to https://github.com/Divyanshu6797/ct-scan-Kidney.git

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  1. schema: '2.0'
    2. 

  2. stages:
    3. 

  3.   data_ingestion:
    4. 

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

  5.     deps:
    6. 

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

  7.       hash: md5
    8. 

  8.       md5: 89af874b4bbe930c3bb732d34395cd7b
    9. 

  9.       size: 586
    10. 

  10.     - path: src/cnnClassifier/pipeline/stage_01_data_ingestion.py
    11. 

  11.       hash: md5
    12. 

  12.       md5: caf501a7205ba64b6d4426666570432c
    13. 

  13.       size: 908
    14. 

  14.     outs:
    15. 

  15.     - path: artifacts/data_ingestion/kidney-ct-scan-image
    16. 

  16.       hash: md5
    17. 

  17.       md5: 33ed59dbe5dec8ce2bb8e489b55203e4.dir
    18. 

  18.       size: 58936381
    19. 

  19.       nfiles: 465
    20. 

  20.   prepare_base_model:
    21. 

  21.     cmd: python src/cnnClassifier/pipeline/stage_02_prepare_base_model.py
    22. 

  22.     deps:
    23. 

  23.     - path: config/config.yaml
    24. 

  24.       hash: md5
    25. 

  25.       md5: 89af874b4bbe930c3bb732d34395cd7b
    26. 

  26.       size: 586
    27. 

  27.     - path: src/cnnClassifier/pipeline/stage_02_prepare_base_model.py
    28. 

  28.       hash: md5
    29. 

  29.       md5: eb0a6a8e3eb6c7300e7e34a3a635864f
    30. 

  30.       size: 995
    31. 

  31.     params:
    32. 

  32.       params.yaml:
    33. 

  33.         CLASSES: 2
    34. 

  34.         IMAGE_SIZE:
    35. 

  35.         - 224
    36. 

  36.         - 224
    37. 

  37.         - 3
    38. 

  38.         INCLUDE_TOP: false
    39. 

  39.         LEARNING_RATE: 0.01
    40. 

  40.         WEIGHTS: imagenet
    41. 

  41.     outs:
    42. 

  42.     - path: artifacts/prepare_base_model
    43. 

  43.       hash: md5
    44. 

  44.       md5: 54cbb493f89d7bb9bb7a4e32c4f2b72e.dir
    45. 

  45.       size: 118038272
    46. 

  46.       nfiles: 2
    47. 

  47.   training:
    48. 

  48.     cmd: python src/cnnClassifier/pipeline/stage_03_model_training.py
    49. 

  49.     deps:
    50. 

  50.     - path: artifacts/data_ingestion/kidney-ct-scan-image
    51. 

  51.       hash: md5
    52. 

  52.       md5: 33ed59dbe5dec8ce2bb8e489b55203e4.dir
    53. 

  53.       size: 58936381
    54. 

  54.       nfiles: 465
    55. 

  55.     - path: artifacts/prepare_base_model
    56. 

  56.       hash: md5
    57. 

  57.       md5: 54cbb493f89d7bb9bb7a4e32c4f2b72e.dir
    58. 

  58.       size: 118038272
    59. 

  59.       nfiles: 2
    60. 

  60.     - path: config/config.yaml
    61. 

  61.       hash: md5
    62. 

  62.       md5: 89af874b4bbe930c3bb732d34395cd7b
    63. 

  63.       size: 586
    64. 

  64.     - path: src/cnnClassifier/pipeline/stage_03_model_training.py
    65. 

  65.       hash: md5
    66. 

  66.       md5: 0b5d68d520496bb7c1c8f5b3d7888dde
    67. 

  67.       size: 927
    68. 

  68.     params:
    69. 

  69.       params.yaml:
    70. 

  70.         AUGMENTATION: true
    71. 

  71.         BATCH_SIZE: 16
    72. 

  72.         EPOCHS: 2
    73. 

  73.         IMAGE_SIZE:
    74. 

  74.         - 224
    75. 

  75.         - 224
    76. 

  76.         - 3
    77. 

  77.     outs:
    78. 

  78.     - path: artifacts/training/model.h5
    79. 

  79.       hash: md5
    80. 

  80.       md5: e5ed5e4287ef7edc9807bbafd3903d0e
    81. 

  81.       size: 59127544
    82. 

  82.   evaluation:
    83. 

  83.     cmd: python src/cnnClassifier/pipeline/stage_04_model_evaluation.py
    84. 

  84.     deps:
    85. 

  85.     - path: artifacts/data_ingestion/kidney-ct-scan-image
    86. 

  86.       hash: md5
    87. 

  87.       md5: 33ed59dbe5dec8ce2bb8e489b55203e4.dir
    88. 

  88.       size: 58936381
    89. 

  89.       nfiles: 465
    90. 

  90.     - path: artifacts/training/model.h5
    91. 

  91.       hash: md5
    92. 

  92.       md5: e5ed5e4287ef7edc9807bbafd3903d0e
    93. 

  93.       size: 59127544
    94. 

  94.     - path: config/config.yaml
    95. 

  95.       hash: md5
    96. 

  96.       md5: 89af874b4bbe930c3bb732d34395cd7b
    97. 

  97.       size: 586
    98. 

  98.     - path: src/cnnClassifier/pipeline/stage_04_model_evaluation.py
    99. 

  99.       hash: md5
    100. 

  100.       md5: 45f81eccafcd0bccfde50f789afe9657
    101. 

  101.       size: 1362
    102. 

  102.     params:
    103. 

  103.       params.yaml:
    104. 

  104.         BATCH_SIZE: 16
    105. 

  105.         IMAGE_SIZE:
    106. 

  106.         - 224
    107. 

  107.         - 224
    108. 

  108.         - 3
    109. 

  109.     outs:
    110. 

  110.     - path: scores.json
    111. 

  111.       hash: md5
    112. 

  112.       md5: 60c2b564148e55cdf831caf22a8e39d8
    113. 

  113.       size: 73
    114.
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