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from cnnClassfier import logger
from cnnClassfier.pipeline.stage_01_data_ingestion import DataIngestionTrainingPipeline
from cnnClassfier.pipeline.stage02_base_model import PrepareBaseModelTrainigPipeline
from cnnClassfier.pipeline.stage_03_train import ModelTrainingPipeline
from cnnClassfier.pipeline.stage_04_evaluation import EvaluationTrainigPipeline
STAGE_NAME = "Data Ingestion Stage"
try:
logger.info(f">>>>>> Stage {STAGE_NAME} Started >>>>>>")
data_ingestion = DataIngestionTrainingPipeline()
data_ingestion.main()
logger.info(f"<<<<<< Stage {STAGE_NAME} Completed >>>>>>")
except Exception as e:
logger.exception(e)
raise e
STAGE_NAME = "Prepare Base Model"
try:
logger.info(f">>>>>> Stage {STAGE_NAME} Started >>>>>>")
base_model = PrepareBaseModelTrainigPipeline()
base_model.main()
logger.info(f"<<<<<< Stage {STAGE_NAME} Completed >>>>>>")
except Exception as e:
logger.exception(e)
raise e
STAGE_NAME = "Model Trainig"
try:
logger.info(f">>>>>> Stage {STAGE_NAME} Started >>>>>>")
model_trainer = ModelTrainingPipeline()
model_trainer.main()
logger.info(f"<<<<<< Stage {STAGE_NAME} Completed >>>>>>")
except Exception as e:
logger.exception(e)
raise e
STAGE_NAME = "Model Evaluation"
try:
logger.info(f">>>>>> Stage {STAGE_NAME} Started >>>>>>")
model_evaluation = EvaluationTrainigPipeline()
model_evaluation.main()
logger.info(f"<<<<<< Stage {STAGE_NAME} Completed >>>>>>")
except Exception as e:
logger.exception(e)
raise e
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