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@ -26,7 +26,7 @@ def on_pretrain_routine_end(trainer):
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mlflow_location = os.environ['MLFLOW_TRACKING_URI'] # "http://192.168.xxx.xxx:5000"
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mlflow_location = os.environ['MLFLOW_TRACKING_URI'] # "http://192.168.xxx.xxx:5000"
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mlflow.set_tracking_uri(mlflow_location)
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mlflow.set_tracking_uri(mlflow_location)
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experiment_name = os.environ.get('MLFLOW_EXPERIMENT') or trainer.args.project or '/Shared/YOLOv8'
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experiment_name = os.environ.get('MLFLOW_EXPERIMENT_NAME') or trainer.args.project or '/Shared/YOLOv8'
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run_name = os.environ.get('MLFLOW_RUN') or trainer.args.name
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run_name = os.environ.get('MLFLOW_RUN') or trainer.args.name
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experiment = mlflow.get_experiment_by_name(experiment_name)
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experiment = mlflow.get_experiment_by_name(experiment_name)
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if experiment is None:
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if experiment is None:
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