main.py

from cnnClassifier import logger
from cnnClassifier.pipeline.stage_01_data_ingestion import DataIngestionTrainingPipeline
from cnnClassifier.pipeline.stage_02_prepare_base_model import PrepareBaseModelTrainingPipeline
from cnnClassifier.pipeline.stage_03_model_trainer import ModelTrainingPipeline
from cnnClassifier.pipeline.stage_04_model_evaluation import ModelEvaluationPipeline

STAGE_NAME = "Data Ingestion Stage"

try:
    logger.info(f">>>>>> stage {STAGE_NAME} started <<<<<<")
    obj = DataIngestionTrainingPipeline()
    obj.main()
    logger.info(f">>>>>> stage {STAGE_NAME} completed <<<<<<\n\nx==========x")
except Exception as e:
    logger.exception(e)
    raise e


STAGE_NAME = "Prepare Base Model"
try:
    logger.info(f">>>>>> stage {STAGE_NAME} started <<<<<<")
    prepare_base_model = PrepareBaseModelTrainingPipeline()
    prepare_base_model.main()
    logger.info(f">>>>>> stage {STAGE_NAME} completed <<<<<<\n\nx==========x")
except Exception as e:
    logger.exception(e)
    raise e

STAGE_NAME = "Model Training"
try:
    logger.info(f">>>>>> stage {STAGE_NAME} started <<<<<<")
    model_trainer = ModelTrainingPipeline()
    model_trainer.main()
    logger.info(f">>>>>> stage {STAGE_NAME} completed <<<<<<\n\nx==========x")
except Exception as e:
    logger.exception(e)
    raise e

STAGE_NAME = "Model Evaluation"
try:
    logger.info(f">>>>>> stage {STAGE_NAME} started <<<<<<")
    model_evaluator = ModelEvaluationPipeline()
    model_evaluator.main()
    logger.info(f">>>>>> stage {STAGE_NAME} completed <<<<<<\n\nx==========x")
except Exception as e:
    logger.exception(e)
    raise e