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kalema3502
/
MIIA-Pothole-Image-classification
connected to https://github.com/MartinKalema/MIIA-Pothole-Image-classification.git

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dvc.yaml 1.4 KB
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  1. stages:
    2. 

  2.   data_ingestion:
    3. 

  3.     cmd: python src/potholeClassifier/pipeline/stage_01_data_ingestion.py
    4. 

  4.     deps:
    5. 

  5.       - src/potholeClassifier/pipeline/stage_01_data_ingestion.py
    6. 

  6.       - config/config.yaml
    7. 

  7.     outs:
    8. 

  8.       - artifacts/data_ingestion/dataset
    9. 

  9. 

  10.   prepare_base_model:
    11. 

  11.     cmd: python src/potholeClassifier/pipeline/stage_02_prepare_base_model.py
    12. 

  12.     deps:
    13. 

  13.       - src/potholeClassifier/pipeline/stage_02_prepare_base_model.py
    14. 

  14.       - config/config.yaml
    15. 

  15.     params:
    16. 

  16.       - IMAGE_SIZE
    17. 

  17.       - DENSE_UNITS
    18. 

  18.       - CLASSES
    19. 

  19.       - CONV_1_FILTERS
    20. 

  20.       - CONV_2_FILTERS
    21. 

  21.       - CONV_3_FILTERS
    22. 

  22.       - CONV_4_FILTERS
    23. 

  23.     outs:
    24. 

  24.       - artifacts/base_model
    25. 

  25. 

  26.   training:
    27. 

  27.     cmd: python src/potholeClassifier/pipeline/stage_03_model_training.py
    28. 

  28.     deps:
    29. 

  29.       - src/potholeClassifier/pipeline/stage_03_model_training.py
    30. 

  30.       - config/config.yaml
    31. 

  31.       - artifacts/data_ingestion/dataset
    32. 

  32.       - artifacts/base_model
    33. 

  33.     params:
    34. 

  34.       - LEARNING_RATE
    35. 

  35.       - AUGMENTATION
    36. 

  36.       - EPOCHS
    37. 

  37.       - BATCH_SIZE
    38. 

  38.     outs:
    39. 

  39.       - artifacts/training/model.h5
    40. 

  40. 

  41.   evaluation:
    42. 

  42.     cmd: python mlflow.py && python src/potholeClassifier/pipeline/stage_04_model_evaluation.py
    43. 

  43.     deps:
    44. 

  44.       - src/potholeClassifier/pipeline/stage_04_model_evaluation.py
    45. 

  45.       - config/config.yaml
    46. 

  46.       - artifacts/data_ingestion/dataset
    47. 

  47.       - artifacts/training/model.h5
    48. 

  48.     params:
    49. 

  49.       - IMAGE_SIZE
    50. 

  50.       - BATCH_SIZE
    51. 

  51.     metrics:
    52. 

  52.       - scores.json
    53.
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