退购1.1定位算法

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jiajie555
2023-08-10 12:25:23 +08:00
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---
description: Learn about YOLO's callback functions from on_train_start to add_integration_callbacks. See how these callbacks modify and save models.
---
# on_pretrain_routine_start
---
:::ultralytics.yolo.utils.callbacks.base.on_pretrain_routine_start
<br><br>
# on_pretrain_routine_end
---
:::ultralytics.yolo.utils.callbacks.base.on_pretrain_routine_end
<br><br>
# on_train_start
---
:::ultralytics.yolo.utils.callbacks.base.on_train_start
<br><br>
# on_train_epoch_start
---
:::ultralytics.yolo.utils.callbacks.base.on_train_epoch_start
<br><br>
# on_train_batch_start
---
:::ultralytics.yolo.utils.callbacks.base.on_train_batch_start
<br><br>
# optimizer_step
---
:::ultralytics.yolo.utils.callbacks.base.optimizer_step
<br><br>
# on_before_zero_grad
---
:::ultralytics.yolo.utils.callbacks.base.on_before_zero_grad
<br><br>
# on_train_batch_end
---
:::ultralytics.yolo.utils.callbacks.base.on_train_batch_end
<br><br>
# on_train_epoch_end
---
:::ultralytics.yolo.utils.callbacks.base.on_train_epoch_end
<br><br>
# on_fit_epoch_end
---
:::ultralytics.yolo.utils.callbacks.base.on_fit_epoch_end
<br><br>
# on_model_save
---
:::ultralytics.yolo.utils.callbacks.base.on_model_save
<br><br>
# on_train_end
---
:::ultralytics.yolo.utils.callbacks.base.on_train_end
<br><br>
# on_params_update
---
:::ultralytics.yolo.utils.callbacks.base.on_params_update
<br><br>
# teardown
---
:::ultralytics.yolo.utils.callbacks.base.teardown
<br><br>
# on_val_start
---
:::ultralytics.yolo.utils.callbacks.base.on_val_start
<br><br>
# on_val_batch_start
---
:::ultralytics.yolo.utils.callbacks.base.on_val_batch_start
<br><br>
# on_val_batch_end
---
:::ultralytics.yolo.utils.callbacks.base.on_val_batch_end
<br><br>
# on_val_end
---
:::ultralytics.yolo.utils.callbacks.base.on_val_end
<br><br>
# on_predict_start
---
:::ultralytics.yolo.utils.callbacks.base.on_predict_start
<br><br>
# on_predict_batch_start
---
:::ultralytics.yolo.utils.callbacks.base.on_predict_batch_start
<br><br>
# on_predict_batch_end
---
:::ultralytics.yolo.utils.callbacks.base.on_predict_batch_end
<br><br>
# on_predict_postprocess_end
---
:::ultralytics.yolo.utils.callbacks.base.on_predict_postprocess_end
<br><br>
# on_predict_end
---
:::ultralytics.yolo.utils.callbacks.base.on_predict_end
<br><br>
# on_export_start
---
:::ultralytics.yolo.utils.callbacks.base.on_export_start
<br><br>
# on_export_end
---
:::ultralytics.yolo.utils.callbacks.base.on_export_end
<br><br>
# get_default_callbacks
---
:::ultralytics.yolo.utils.callbacks.base.get_default_callbacks
<br><br>
# add_integration_callbacks
---
:::ultralytics.yolo.utils.callbacks.base.add_integration_callbacks
<br><br>

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---
description: Improve your YOLOv5 model training with callbacks from ClearML. Learn about log debug samples, pre-training routines, validation and more.
---
# _log_debug_samples
---
:::ultralytics.yolo.utils.callbacks.clearml._log_debug_samples
<br><br>
# _log_plot
---
:::ultralytics.yolo.utils.callbacks.clearml._log_plot
<br><br>
# on_pretrain_routine_start
---
:::ultralytics.yolo.utils.callbacks.clearml.on_pretrain_routine_start
<br><br>
# on_train_epoch_end
---
:::ultralytics.yolo.utils.callbacks.clearml.on_train_epoch_end
<br><br>
# on_fit_epoch_end
---
:::ultralytics.yolo.utils.callbacks.clearml.on_fit_epoch_end
<br><br>
# on_val_end
---
:::ultralytics.yolo.utils.callbacks.clearml.on_val_end
<br><br>
# on_train_end
---
:::ultralytics.yolo.utils.callbacks.clearml.on_train_end
<br><br>

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---
description: Learn about YOLO callbacks using the Comet.ml platform, enhancing object detection training and testing with custom logging and visualizations.
---
# _get_comet_mode
---
:::ultralytics.yolo.utils.callbacks.comet._get_comet_mode
<br><br>
# _get_comet_model_name
---
:::ultralytics.yolo.utils.callbacks.comet._get_comet_model_name
<br><br>
# _get_eval_batch_logging_interval
---
:::ultralytics.yolo.utils.callbacks.comet._get_eval_batch_logging_interval
<br><br>
# _get_max_image_predictions_to_log
---
:::ultralytics.yolo.utils.callbacks.comet._get_max_image_predictions_to_log
<br><br>
# _scale_confidence_score
---
:::ultralytics.yolo.utils.callbacks.comet._scale_confidence_score
<br><br>
# _should_log_confusion_matrix
---
:::ultralytics.yolo.utils.callbacks.comet._should_log_confusion_matrix
<br><br>
# _should_log_image_predictions
---
:::ultralytics.yolo.utils.callbacks.comet._should_log_image_predictions
<br><br>
# _get_experiment_type
---
:::ultralytics.yolo.utils.callbacks.comet._get_experiment_type
<br><br>
# _create_experiment
---
:::ultralytics.yolo.utils.callbacks.comet._create_experiment
<br><br>
# _fetch_trainer_metadata
---
:::ultralytics.yolo.utils.callbacks.comet._fetch_trainer_metadata
<br><br>
# _scale_bounding_box_to_original_image_shape
---
:::ultralytics.yolo.utils.callbacks.comet._scale_bounding_box_to_original_image_shape
<br><br>
# _format_ground_truth_annotations_for_detection
---
:::ultralytics.yolo.utils.callbacks.comet._format_ground_truth_annotations_for_detection
<br><br>
# _format_prediction_annotations_for_detection
---
:::ultralytics.yolo.utils.callbacks.comet._format_prediction_annotations_for_detection
<br><br>
# _fetch_annotations
---
:::ultralytics.yolo.utils.callbacks.comet._fetch_annotations
<br><br>
# _create_prediction_metadata_map
---
:::ultralytics.yolo.utils.callbacks.comet._create_prediction_metadata_map
<br><br>
# _log_confusion_matrix
---
:::ultralytics.yolo.utils.callbacks.comet._log_confusion_matrix
<br><br>
# _log_images
---
:::ultralytics.yolo.utils.callbacks.comet._log_images
<br><br>
# _log_image_predictions
---
:::ultralytics.yolo.utils.callbacks.comet._log_image_predictions
<br><br>
# _log_plots
---
:::ultralytics.yolo.utils.callbacks.comet._log_plots
<br><br>
# _log_model
---
:::ultralytics.yolo.utils.callbacks.comet._log_model
<br><br>
# on_pretrain_routine_start
---
:::ultralytics.yolo.utils.callbacks.comet.on_pretrain_routine_start
<br><br>
# on_train_epoch_end
---
:::ultralytics.yolo.utils.callbacks.comet.on_train_epoch_end
<br><br>
# on_fit_epoch_end
---
:::ultralytics.yolo.utils.callbacks.comet.on_fit_epoch_end
<br><br>
# on_train_end
---
:::ultralytics.yolo.utils.callbacks.comet.on_train_end
<br><br>

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---
description: Improve YOLOv5 model training with Ultralytics' on-train callbacks. Boost performance on-pretrain-routine-end, model-save, train/predict start.
---
# on_pretrain_routine_end
---
:::ultralytics.yolo.utils.callbacks.hub.on_pretrain_routine_end
<br><br>
# on_fit_epoch_end
---
:::ultralytics.yolo.utils.callbacks.hub.on_fit_epoch_end
<br><br>
# on_model_save
---
:::ultralytics.yolo.utils.callbacks.hub.on_model_save
<br><br>
# on_train_end
---
:::ultralytics.yolo.utils.callbacks.hub.on_train_end
<br><br>
# on_train_start
---
:::ultralytics.yolo.utils.callbacks.hub.on_train_start
<br><br>
# on_val_start
---
:::ultralytics.yolo.utils.callbacks.hub.on_val_start
<br><br>
# on_predict_start
---
:::ultralytics.yolo.utils.callbacks.hub.on_predict_start
<br><br>
# on_export_start
---
:::ultralytics.yolo.utils.callbacks.hub.on_export_start
<br><br>

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---
description: Track model performance and metrics with MLflow in YOLOv5. Use callbacks like on_pretrain_routine_end or on_train_end to log information.
---
# on_pretrain_routine_end
---
:::ultralytics.yolo.utils.callbacks.mlflow.on_pretrain_routine_end
<br><br>
# on_fit_epoch_end
---
:::ultralytics.yolo.utils.callbacks.mlflow.on_fit_epoch_end
<br><br>
# on_train_end
---
:::ultralytics.yolo.utils.callbacks.mlflow.on_train_end
<br><br>

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---
description: Improve YOLOv5 training with Neptune, a powerful logging tool. Track metrics like images, plots, and epochs for better model performance.
---
# _log_scalars
---
:::ultralytics.yolo.utils.callbacks.neptune._log_scalars
<br><br>
# _log_images
---
:::ultralytics.yolo.utils.callbacks.neptune._log_images
<br><br>
# _log_plot
---
:::ultralytics.yolo.utils.callbacks.neptune._log_plot
<br><br>
# on_pretrain_routine_start
---
:::ultralytics.yolo.utils.callbacks.neptune.on_pretrain_routine_start
<br><br>
# on_train_epoch_end
---
:::ultralytics.yolo.utils.callbacks.neptune.on_train_epoch_end
<br><br>
# on_fit_epoch_end
---
:::ultralytics.yolo.utils.callbacks.neptune.on_fit_epoch_end
<br><br>
# on_val_end
---
:::ultralytics.yolo.utils.callbacks.neptune.on_val_end
<br><br>
# on_train_end
---
:::ultralytics.yolo.utils.callbacks.neptune.on_train_end
<br><br>

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---
description: '"Improve YOLO model performance with on_fit_epoch_end callback. Learn to integrate with Ray Tune for hyperparameter tuning. Ultralytics YOLO docs."'
---
# on_fit_epoch_end
---
:::ultralytics.yolo.utils.callbacks.raytune.on_fit_epoch_end
<br><br>

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---
description: Learn how to monitor the training process with Tensorboard using Ultralytics YOLO's "_log_scalars" and "on_batch_end" methods.
---
# _log_scalars
---
:::ultralytics.yolo.utils.callbacks.tensorboard._log_scalars
<br><br>
# on_pretrain_routine_start
---
:::ultralytics.yolo.utils.callbacks.tensorboard.on_pretrain_routine_start
<br><br>
# on_batch_end
---
:::ultralytics.yolo.utils.callbacks.tensorboard.on_batch_end
<br><br>
# on_fit_epoch_end
---
:::ultralytics.yolo.utils.callbacks.tensorboard.on_fit_epoch_end
<br><br>

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---
description: Learn how to use Ultralytics YOLO's built-in callbacks `on_pretrain_routine_start` and `on_train_epoch_end` for improved training performance.
---
# on_pretrain_routine_start
---
:::ultralytics.yolo.utils.callbacks.wb.on_pretrain_routine_start
<br><br>
# on_fit_epoch_end
---
:::ultralytics.yolo.utils.callbacks.wb.on_fit_epoch_end
<br><br>
# on_train_epoch_end
---
:::ultralytics.yolo.utils.callbacks.wb.on_train_epoch_end
<br><br>
# on_train_end
---
:::ultralytics.yolo.utils.callbacks.wb.on_train_end
<br><br>