main.py

from objectDetection import logger
from objectDetection.pipeline.stage_01_data_ingestion import DataIngestionTrainingPipeline
from objectDetection.pipeline.stage_02_prepare_base_model import PrepareBaseModelTrainingPipeline
from objectDetection.pipeline.stage_03_training import ModelTrainingPipeline
from objectDetection.pipeline.stage_04_evaluation import EvaluationPipeline

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

STAGE_NAME = "Training"

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


STAGE_NAME = "Evaluation stage"

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