ultralytics 8.0.97
confusion matrix, windows, docs updates (#2511)
Co-authored-by: Yonghye Kwon <developer.0hye@gmail.com> Co-authored-by: Dowon <ks2515@naver.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Laughing <61612323+Laughing-q@users.noreply.github.com>
This commit is contained in:
@ -1,3 +1,7 @@
|
||||
---
|
||||
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
|
||||
@ -131,4 +135,4 @@
|
||||
# add_integration_callbacks
|
||||
---
|
||||
:::ultralytics.yolo.utils.callbacks.base.add_integration_callbacks
|
||||
<br><br>
|
||||
<br><br>
|
@ -1,3 +1,7 @@
|
||||
---
|
||||
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
|
||||
@ -31,4 +35,4 @@
|
||||
# on_train_end
|
||||
---
|
||||
:::ultralytics.yolo.utils.callbacks.clearml.on_train_end
|
||||
<br><br>
|
||||
<br><br>
|
@ -1,3 +1,7 @@
|
||||
---
|
||||
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
|
||||
@ -116,4 +120,4 @@
|
||||
# on_train_end
|
||||
---
|
||||
:::ultralytics.yolo.utils.callbacks.comet.on_train_end
|
||||
<br><br>
|
||||
<br><br>
|
@ -1,3 +1,7 @@
|
||||
---
|
||||
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
|
||||
@ -36,4 +40,4 @@
|
||||
# on_export_start
|
||||
---
|
||||
:::ultralytics.yolo.utils.callbacks.hub.on_export_start
|
||||
<br><br>
|
||||
<br><br>
|
@ -1,3 +1,7 @@
|
||||
---
|
||||
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
|
||||
@ -11,4 +15,4 @@
|
||||
# on_train_end
|
||||
---
|
||||
:::ultralytics.yolo.utils.callbacks.mlflow.on_train_end
|
||||
<br><br>
|
||||
<br><br>
|
@ -1,3 +1,7 @@
|
||||
---
|
||||
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
|
||||
@ -36,4 +40,4 @@
|
||||
# on_train_end
|
||||
---
|
||||
:::ultralytics.yolo.utils.callbacks.neptune.on_train_end
|
||||
<br><br>
|
||||
<br><br>
|
@ -1,4 +1,8 @@
|
||||
---
|
||||
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>
|
||||
<br><br>
|
@ -1,3 +1,7 @@
|
||||
---
|
||||
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
|
||||
@ -16,4 +20,4 @@
|
||||
# on_fit_epoch_end
|
||||
---
|
||||
:::ultralytics.yolo.utils.callbacks.tensorboard.on_fit_epoch_end
|
||||
<br><br>
|
||||
<br><br>
|
@ -1,3 +1,7 @@
|
||||
---
|
||||
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
|
||||
@ -16,4 +20,4 @@
|
||||
# on_train_end
|
||||
---
|
||||
:::ultralytics.yolo.utils.callbacks.wb.on_train_end
|
||||
<br><br>
|
||||
<br><br>
|
Reference in New Issue
Block a user