Brain-Tumor-MRI-Classification/main.py at main · lakshitcodes/Brain-Tumor-MRI-Classification · GitHub

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from brainTumorMRIClassification import logger
from brainTumorMRIClassification.pipeline.stage_01_data_ingestion import (
    DataIngestionTrainingPipeline,
)
from brainTumorMRIClassification.pipeline.stage_02_prepare_base_model import (
    PrepareBaseModelTrainingPipeline,
)
from brainTumorMRIClassification.pipeline.stage_03_training import ModelTrainingPipeline
from brainTumorMRIClassification.pipeline.stage_04_evaluation import EvaluationPipeline

STAGE_NAME = "Data Ingestion Pipeline"
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 <<<<<<<<<<")
    prepare_base_model = PrepareBaseModelTrainingPipeline()
    prepare_base_model.main()
    logger.info(f">>>>>>>>>> stage {STAGE_NAME} completed <<<<<<<<<<")
except Exception as e:
    logger.exception(e)
    raise e


STAGE_NAME = "Training"
try:
    logger.info(f">>>>>>>>>> stage {STAGE_NAME} started <<<<<<<<<<")
    training = ModelTrainingPipeline()
    training.main()
    logger.info(f">>>>>>>>>> stage {STAGE_NAME} completed <<<<<<<<<<")
except Exception as e:
    logger.exception(e)
    raise e


STAGE_NAME = "Evaluation"
try:
    logger.info(f">>>>>>>>>> stage {STAGE_NAME} started <<<<<<<<<<")
    evaluation = EvaluationPipeline()
    evaluation.main()
    logger.info(f">>>>>>>>>> stage {STAGE_NAME} completed <<<<<<<<<<")
except Exception as e:
    logger.exception(e)
    raise e