Update docs metadata (#3781)

This commit is contained in:
Glenn Jocher
2023-07-17 12:40:04 +02:00
committed by GitHub
parent e324af6a12
commit e8030316f6
194 changed files with 783 additions and 308 deletions

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---
description: Explore how to use the on-train, on-validation, on-pretrain, and on-predict callbacks in Ultralytics. Learn to update params, save models, and add integration callbacks.
keywords: Ultralytics, Callbacks, On-train, On-validation, On-pretrain, On-predict, Parameters update, Model saving, Integration callbacks
---
## on_pretrain_routine_start
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### ::: ultralytics.utils.callbacks.base.on_pretrain_routine_start
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## add_integration_callbacks
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### ::: ultralytics.utils.callbacks.base.add_integration_callbacks
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description: Uncover the specifics of Ultralytics ClearML callbacks, from pretrain routine start to training end. Boost your ML model performance.
keywords: Ultralytics, clearML, callbacks, pretrain routine start, validation end, train epoch end, training end
---
## _log_debug_samples
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### ::: ultralytics.utils.callbacks.clearml._log_debug_samples
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## on_train_end
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### ::: ultralytics.utils.callbacks.clearml.on_train_end
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description: Explore comprehensive documentation for utilising Comet Callbacks in Ultralytics. Learn to optimise training, logging, and experiment workflows.
keywords: Ultralytics, Comet Callbacks, Training optimisation, Logging, Experiment Workflows
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## _get_comet_mode
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### ::: ultralytics.utils.callbacks.comet._get_comet_mode
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## on_train_end
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### ::: ultralytics.utils.callbacks.comet.on_train_end
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description: Browse through Ultralytics YOLO docs to learn about important logging and callback functions used in training and pretraining models.
keywords: Ultralytics, YOLO, callbacks, logger, training, pretraining, machine learning, models
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## _logger_disabled
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### ::: ultralytics.utils.callbacks.dvc._logger_disabled
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## on_train_end
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### ::: ultralytics.utils.callbacks.dvc.on_train_end
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description: Explore the detailed information on key Ultralytics callbacks such as on_pretrain_routine_end, on_model_save, on_train_start, and on_predict_start.
keywords: Ultralytics, callbacks, on_pretrain_routine_end, on_model_save, on_train_start, on_predict_start, hub, training
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## on_pretrain_routine_end
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### ::: ultralytics.utils.callbacks.hub.on_pretrain_routine_end
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## on_export_start
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### ::: ultralytics.utils.callbacks.hub.on_export_start
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description: Understand routines at the end of pre-training and training in Ultralytics. Elevate your MLflow callbacks expertise.
keywords: Ultralytics, MLflow, Callbacks, on_pretrain_routine_end, on_train_end, Machine Learning, Training
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## on_pretrain_routine_end
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### ::: ultralytics.utils.callbacks.mlflow.on_pretrain_routine_end
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## on_train_end
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### ::: ultralytics.utils.callbacks.mlflow.on_train_end
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description: Explore exhaustive details about Ultralytics callbacks in Neptune, with specifics about scalar logging, routine start, and more.
keywords: Ultralytics, Neptune callbacks, on_train_epoch_end, on_val_end, _log_plot, _log_images, on_pretrain_routine_start, on_fit_epoch_end, on_train_end
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## _log_scalars
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### ::: ultralytics.utils.callbacks.neptune._log_scalars
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## on_train_end
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### ::: ultralytics.utils.callbacks.neptune.on_train_end
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description: Discover the functionality of the on_fit_epoch_end callback in the Ultralytics YOLO framework. Learn how to end an epoch in your deep learning projects.
keywords: Ultralytics, YOLO, on_fit_epoch_end, callbacks, documentation, deep learning, YOLO framework
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## on_fit_epoch_end
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### ::: ultralytics.utils.callbacks.raytune.on_fit_epoch_end
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description: Explore Ultralytics YOLO Docs for a deep understanding of log_scalars, on_batch_end & other callback utilities embedded in the tensorboard module.
keywords: Ultralytics, YOLO, documentation, callback utilities, log_scalars, on_batch_end, tensorboard
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## _log_scalars
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### ::: ultralytics.utils.callbacks.tensorboard._log_scalars
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## on_fit_epoch_end
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### ::: ultralytics.utils.callbacks.tensorboard.on_fit_epoch_end
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description: Deep dive into Ultralytics callbacks. Learn how to use the _log_plots, on_fit_epoch_end, and on_train_end functions effectively.
keywords: Ultralytics, callbacks, _log_plots, on_fit_epoch_end, on_train_end
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## _log_plots
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### ::: ultralytics.utils.callbacks.wb._log_plots
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## on_train_end
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### ::: ultralytics.utils.callbacks.wb.on_train_end
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