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_training import ModelTrainingPipeline
from CNNClassifier.pipeline.stage_04_evaluation import EvaluationPipeline

STAGE_NAME = "Data Ingeestion Stage"
try:
    logger.info(f">>>>>>> stage {STAGE_NAME} started <<<<<<<")
    data_ingestion = DataIngestionTrainingPipeline()
    data_ingestion.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 Training"
try:
    logger.info(f">>>>>>> stage {STAGE_NAME} started <<<<<<<")
    obj = PrepareBaseModelTrainingPipeline()
    obj.main()
    logger.info(f">>>>>>> stage {STAGE_NAME} completeed <<<<<<<\n\nx==========x")

except Exception as e:
    logger.exception(e)
    raise e


STAGE_NAME = "Training stage"
try:
    logger.info(f">>>>>>> stage {STAGE_NAME} started <<<<<<<")
    obj = ModelTrainingPipeline()
    obj.main()
    logger.info(f">>>>>>> stage {STAGE_NAME} completeed <<<<<<<\n\nx==========x")

except Exception as e:
    logger.exception(e)
    raise e



STAGE_NAME = "Evaluation stage"
try:
    logger.info(f">>>>>>> stage {STAGE_NAME} started <<<<<<<")
    obj = EvaluationPipeline()
    obj.main()
    logger.info(f">>>>>>> stage {STAGE_NAME} completeed <<<<<<<\n\nx==========x")

except Exception as e:
    logger.exception(e)
    raise e