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Shubhamlad1
/
Deep_CNN_Classifier
connected to https://github.com/Shubhamlad1/Deep_CNN_Classifier.git

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  1. schema: '2.0'
    2. 

  2. stages:
    3. 

  3.   data_ingestion:
    4. 

  4.     cmd: python src\DeepClassifier\pipeline\stage1_data_ingestion.py
    5. 

  5.     deps:
    6. 

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

  7.       md5: 63dc4736e74a03dd3e1828665c4f6de3
    8. 

  8.       size: 1093
    9. 

  9.     - path: src\DeepClassifier\pipeline\stage1_data_ingestion.py
    10. 

  10.       md5: 634a059c5cfab2580c03d9452e4f3b9b
    11. 

  11.       size: 866
    12. 

  12.     outs:
    13. 

  13.     - path: artifact\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\stage2_prepare_base_model.py
    19. 

  19.     deps:
    20. 

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

  21.       md5: 63dc4736e74a03dd3e1828665c4f6de3
    22. 

  22.       size: 1093
    23. 

  23.     - path: src\DeepClassifier\pipeline\stage2_prepare_base_model.py
    24. 

  24.       md5: 71f27482dd6cb47a0310b26463a8b966
    25. 

  25.       size: 946
    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: artifact\prepare_base_model
    38. 

  38.       md5: 3e1deca54048509d80f53844ead54126.dir
    39. 

  39.       size: 118053368
    40. 

  40.       nfiles: 2
    41. 

  41.   training:
    42. 

  42.     cmd: python src\DeepClassifier\pipeline\stage3_training.py
    43. 

  43.     deps:
    44. 

  44.     - path: artifact\data_ingestion\PetImages
    45. 

  45.       md5: 3a5cf86541f22c236620ce5b952ad684.dir
    46. 

  46.       size: 848866410
    47. 

  47.       nfiles: 24998
    48. 

  48.     - path: artifact\prepare_base_model
    49. 

  49.       md5: 3e1deca54048509d80f53844ead54126.dir
    50. 

  50.       size: 118053368
    51. 

  51.       nfiles: 2
    52. 

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

  53.       md5: 63dc4736e74a03dd3e1828665c4f6de3
    54. 

  54.       size: 1093
    55. 

  55.     - path: src\DeepClassifier\components\prepare_callbacks.py
    56. 

  56.       md5: 5dd680c2f90d1e40f9e173fb0e96dc3f
    57. 

  57.       size: 991
    58. 

  58.     - path: src\DeepClassifier\pipeline\stage3_training.py
    59. 

  59.       md5: 197298c39bf0266d4c2eaa3c573404e9
    60. 

  60.       size: 1136
    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: artifact\training\model.h5
    72. 

  72.       md5: 6ee22c73109589c79cafedaab49a512a
    73. 

  73.       size: 59135136
    74.
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Specify your Azure Storage bucket

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