dvc.lock

schema: '2.0'
stages:
  data_ingestion:
    cmd: python src/cnnClassifier/pipeline/stage_01_data_ingestion.py
    deps:
    - path: config/config.yaml
      hash: md5
      md5: d4c6e6a52ca35ea93094c3e1a421499e
      size: 578
    - path: src/cnnClassifier/pipeline/stage_01_data_ingestion.py
      hash: md5
      md5: 257f1b6398e02f7479ce8922f36b35c8
      size: 908
    outs:
    - path: artifacts/data_ingestion/Chest-CT-Scan-data
      hash: md5
      md5: 904fa45d934ce879b3b1933dca6cb2f1.dir
      size: 49247431
      nfiles: 343
  prepare_base_model:
    cmd: python src/cnnClassifier/pipeline/stage_02_prepare_base_model.py
    deps:
    - path: config/config.yaml
      hash: md5
      md5: d4c6e6a52ca35ea93094c3e1a421499e
      size: 578
    - path: src/cnnClassifier/pipeline/stage_02_prepare_base_model.py
      hash: md5
      md5: 34e3d143cc9aee18795b09b84ff50bf6
      size: 944
    params:
      params.yaml:
        CLASSES: 2
        IMAGE_SIZE:
        - 224
        - 224
        - 3
        INCLUDE_TOP: false
        LEARNING_RATE: 0.01
        WEIGHTS: imagenet
    outs:
    - path: artifacts/prepare_base_model
      hash: md5
      md5: 60ff47faba8e29b30ee7aaf0f7c96960.dir
      size: 118054560
      nfiles: 2
  training:
    cmd: python src/cnnClassifier/pipeline/stage_03_model_trainer.py
    deps:
    - path: artifacts/data_ingestion/Chest-CT-Scan-data
      hash: md5
      md5: 904fa45d934ce879b3b1933dca6cb2f1.dir
      size: 49247431
      nfiles: 343
    - path: artifacts/prepare_base_model
      hash: md5
      md5: 60ff47faba8e29b30ee7aaf0f7c96960.dir
      size: 118054560
      nfiles: 2
    - path: config/config.yaml
      hash: md5
      md5: d4c6e6a52ca35ea93094c3e1a421499e
      size: 578
    - path: src/cnnClassifier/pipeline/stage_03_model_trainer.py
      hash: md5
      md5: 96e3edf5e5be4ce959fecd0baaf21b57
      size: 867
    params:
      params.yaml:
        AUGMENTATION: true
        BATCH_SIZE: 16
        EPOCHS: 1
        IMAGE_SIZE:
        - 224
        - 224
        - 3
    outs:
    - path: artifacts/training/model.h5
      hash: md5
      md5: 768dc50292d48e1eaf0ccef73c96e1a9
      size: 59337520
  evaluation:
    cmd: python src/cnnClassifier/pipeline/stage_04_model_evaluation.py
    deps:
    - path: artifacts/data_ingestion/Chest-CT-Scan-data
      hash: md5
      md5: 904fa45d934ce879b3b1933dca6cb2f1.dir
      size: 49247431
      nfiles: 343
    - path: artifacts/training/model.h5
      hash: md5
      md5: 768dc50292d48e1eaf0ccef73c96e1a9
      size: 59337520
    - path: config/config.yaml
      hash: md5
      md5: d4c6e6a52ca35ea93094c3e1a421499e
      size: 578
    - path: src/cnnClassifier/pipeline/stage_04_model_evaluation.py
      hash: md5
      md5: 733715b99b1139a8dd6b8dd0207893fb
      size: 860
    params:
      params.yaml:
        BATCH_SIZE: 16
        IMAGE_SIZE:
        - 224
        - 224
        - 3
    outs:
    - path: scores.json
      hash: md5
      md5: bdb33d26a22190a0bd487538fff6b4e1
      size: 72