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main.py
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59 lines (46 loc) · 1.81 KB
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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 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 <<<<<<")
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 = "Training stage"
if __name__ == "__main__":
try:
logger.info(f"****************************")
logger.info(f">>>>>>> stage {STAGE_NAME} started <<<<<<<<")
obj = ModelTrainingPipeline()
obj.main()
logger.info(f">>>>>>>> stage {STAGE_NAME} compeleted <<<<<<<<<<\n\nx==========x")
except Exception as e:
logger.exception(e)
raise e
STAGE_NAME = "Evaluation stage"
if __name__ == '__main__':
try:
logger.info(f"*******************")
logger.info(f">>>>>> stage {STAGE_NAME} started <<<<<<")
obj = EvaluationPipeline()
obj.main()
logger.info(f">>>>>> stage {STAGE_NAME} completed <<<<<<\n\nx==========x")
except Exception as e:
logger.exception(e)
raise e