o Wñ hÀã @sªdZddlmZddlmZdd„Zdd„Zdd „Zd d „Zd d „Z dd„Z dd„Z dd„Z dd„Z dd„Zdd„Zdd„Zdd„Zdd„Zd d!„Zd"d#„Zd$d%„Zd&d'„Zd(d)„Zd*d+„Zd,d-„Zd.d/„Zd0d1„Zd2d3„Zd4d5„Zideg“deg“d eg“d eg“d e g“de g“de g“de g“de g“deg“deg“deg“deg“deg“d!eg“d#eg“d%eg“egegegegegegegegd6œ¥Zd7d8„Zd9d:„Z d;S)>> callbacks = get_default_callbacks() >>> print(list(callbacks.keys())) # show all available callback events ['on_pretrain_routine_start', 'on_pretrain_routine_end', ...] )rÚlistrÚdefault_callbacksrrrrÚget_default_callbacks±sr+c CsÖddlm}|g}d|jjvrLddlm}ddlm}ddlm}ddlm}ddlm}ddl m}ddl m} ddl m} |  ||||||| | g¡|D]} |   ¡D]\} } | |j| vrg|j|  | ¡qTqNdS)a0 Add integration callbacks to the instance's callbacks dictionary. This function loads and adds various integration callbacks to the provided instance. The specific callbacks added depend on the type of instance provided. All instances receive HUB callbacks, while Trainer instances also receive additional callbacks for various integrations like ClearML, Comet, DVC, MLflow, Neptune, Ray Tune, TensorBoard, and Weights & Biases. Args: instance (Trainer | Predictor | Validator | Exporter): The object instance to which callbacks will be added. The type of instance determines which callbacks are loaded. Examples: >>> from ultralytics.engine.trainer import BaseTrainer >>> trainer = BaseTrainer() >>> add_integration_callbacks(trainer) é)Ú callbacksÚTrainerN)Úhubr-Ú __class__Ú__name__ÚclearmlÚcometÚdvcÚmlflowÚneptuneÚraytuneÚ tensorboardÚwbÚextendÚitemsÚappend)ÚinstanceÚhub_cbÚcallbacks_listÚclear_cbÚcomet_cbÚdvc_cbÚ mlflow_cbÚ neptune_cbÚtune_cbÚtb_cbÚwb_cbr-ÚkÚvrrrÚadd_integration_callbacksÂs&          €þÿrJN)!Ú__doc__Ú collectionsrÚcopyrr r r r rrrrrrrrrrrrrrr r!r"r#r$r'r(r*r+rJrrrrÚs”  þýüûúùø ÷ ö õ ô óòñïîíã!