退购1.1定位算法

docs/reference/yolo/utils/autobatch.md

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+---
+description: Dynamically adjusts input size to optimize GPU memory usage during training. Learn how to use check_train_batch_size with Ultralytics YOLO.
+---
+
+# check_train_batch_size
+---
+:::ultralytics.yolo.utils.autobatch.check_train_batch_size
+<br><br>
+
+# autobatch
+---
+:::ultralytics.yolo.utils.autobatch.autobatch
+<br><br>

docs/reference/yolo/utils/benchmarks.md

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+---
+description: Improve your YOLO's performance and measure its speed. Benchmark utility for YOLOv5.
+---
+
+# benchmark
+---
+:::ultralytics.yolo.utils.benchmarks.benchmark
+<br><br>

docs/reference/yolo/utils/callbacks/base.md

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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>

docs/reference/yolo/utils/callbacks/clearml.md

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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>

docs/reference/yolo/utils/callbacks/comet.md

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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>

docs/reference/yolo/utils/callbacks/hub.md

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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>

docs/reference/yolo/utils/callbacks/mlflow.md

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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>

docs/reference/yolo/utils/callbacks/neptune.md

@@ -0,0 +1,43 @@
+---
+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>

docs/reference/yolo/utils/callbacks/raytune.md

@@ -0,0 +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>

docs/reference/yolo/utils/callbacks/tensorboard.md

@@ -0,0 +1,23 @@
+---
+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>

docs/reference/yolo/utils/callbacks/wb.md

@@ -0,0 +1,23 @@
+---
+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>

docs/reference/yolo/utils/checks.md

@@ -0,0 +1,83 @@
+---
+description: 'Check functions for YOLO utils: image size, version, font, requirements, filename suffix, YAML file, YOLO, and Git version.'
+---
+
+# is_ascii
+---
+:::ultralytics.yolo.utils.checks.is_ascii
+<br><br>
+
+# check_imgsz
+---
+:::ultralytics.yolo.utils.checks.check_imgsz
+<br><br>
+
+# check_version
+---
+:::ultralytics.yolo.utils.checks.check_version
+<br><br>
+
+# check_latest_pypi_version
+---
+:::ultralytics.yolo.utils.checks.check_latest_pypi_version
+<br><br>
+
+# check_pip_update_available
+---
+:::ultralytics.yolo.utils.checks.check_pip_update_available
+<br><br>
+
+# check_font
+---
+:::ultralytics.yolo.utils.checks.check_font
+<br><br>
+
+# check_python
+---
+:::ultralytics.yolo.utils.checks.check_python
+<br><br>
+
+# check_requirements
+---
+:::ultralytics.yolo.utils.checks.check_requirements
+<br><br>
+
+# check_suffix
+---
+:::ultralytics.yolo.utils.checks.check_suffix
+<br><br>
+
+# check_yolov5u_filename
+---
+:::ultralytics.yolo.utils.checks.check_yolov5u_filename
+<br><br>
+
+# check_file
+---
+:::ultralytics.yolo.utils.checks.check_file
+<br><br>
+
+# check_yaml
+---
+:::ultralytics.yolo.utils.checks.check_yaml
+<br><br>
+
+# check_imshow
+---
+:::ultralytics.yolo.utils.checks.check_imshow
+<br><br>
+
+# check_yolo
+---
+:::ultralytics.yolo.utils.checks.check_yolo
+<br><br>
+
+# git_describe
+---
+:::ultralytics.yolo.utils.checks.git_describe
+<br><br>
+
+# print_args
+---
+:::ultralytics.yolo.utils.checks.print_args
+<br><br>

docs/reference/yolo/utils/dist.md

@@ -0,0 +1,23 @@
+---
+description: Learn how to find free network port and generate DDP (Distributed Data Parallel) command in Ultralytics YOLO with easy examples.
+---
+
+# find_free_network_port
+---
+:::ultralytics.yolo.utils.dist.find_free_network_port
+<br><br>
+
+# generate_ddp_file
+---
+:::ultralytics.yolo.utils.dist.generate_ddp_file
+<br><br>
+
+# generate_ddp_command
+---
+:::ultralytics.yolo.utils.dist.generate_ddp_command
+<br><br>
+
+# ddp_cleanup
+---
+:::ultralytics.yolo.utils.dist.ddp_cleanup
+<br><br>

docs/reference/yolo/utils/downloads.md

@@ -0,0 +1,33 @@
+---
+description: Download and unzip YOLO pretrained models. Ultralytics YOLO docs utils.downloads.unzip_file, checks disk space, downloads and attempts assets.
+---
+
+# is_url
+---
+:::ultralytics.yolo.utils.downloads.is_url
+<br><br>
+
+# unzip_file
+---
+:::ultralytics.yolo.utils.downloads.unzip_file
+<br><br>
+
+# check_disk_space
+---
+:::ultralytics.yolo.utils.downloads.check_disk_space
+<br><br>
+
+# safe_download
+---
+:::ultralytics.yolo.utils.downloads.safe_download
+<br><br>
+
+# attempt_download_asset
+---
+:::ultralytics.yolo.utils.downloads.attempt_download_asset
+<br><br>
+
+# download
+---
+:::ultralytics.yolo.utils.downloads.download
+<br><br>

docs/reference/yolo/utils/errors.md

@@ -0,0 +1,8 @@
+---
+description: Learn about HUBModelError in Ultralytics YOLO Docs. Resolve the error and get the most out of your YOLO model.
+---
+
+# HUBModelError
+---
+:::ultralytics.yolo.utils.errors.HUBModelError
+<br><br>

docs/reference/yolo/utils/files.md

@@ -0,0 +1,38 @@
+---
+description: 'Learn about Ultralytics YOLO files and directory utilities: WorkingDirectory, file_age, file_size, and make_dirs.'
+---
+
+# WorkingDirectory
+---
+:::ultralytics.yolo.utils.files.WorkingDirectory
+<br><br>
+
+# increment_path
+---
+:::ultralytics.yolo.utils.files.increment_path
+<br><br>
+
+# file_age
+---
+:::ultralytics.yolo.utils.files.file_age
+<br><br>
+
+# file_date
+---
+:::ultralytics.yolo.utils.files.file_date
+<br><br>
+
+# file_size
+---
+:::ultralytics.yolo.utils.files.file_size
+<br><br>
+
+# get_latest_run
+---
+:::ultralytics.yolo.utils.files.get_latest_run
+<br><br>
+
+# make_dirs
+---
+:::ultralytics.yolo.utils.files.make_dirs
+<br><br>

docs/reference/yolo/utils/instance.md

@@ -0,0 +1,18 @@
+---
+description: Learn about Bounding Boxes (Bboxes) and _ntuple in Ultralytics YOLO for object detection. Improve accuracy and speed with these powerful tools.
+---
+
+# Bboxes
+---
+:::ultralytics.yolo.utils.instance.Bboxes
+<br><br>
+
+# Instances
+---
+:::ultralytics.yolo.utils.instance.Instances
+<br><br>
+
+# _ntuple
+---
+:::ultralytics.yolo.utils.instance._ntuple
+<br><br>

docs/reference/yolo/utils/loss.md

@@ -0,0 +1,18 @@
+---
+description: Learn about Varifocal Loss and Keypoint Loss in Ultralytics YOLO for advanced bounding box and pose estimation. Visit our docs for more.
+---
+
+# VarifocalLoss
+---
+:::ultralytics.yolo.utils.loss.VarifocalLoss
+<br><br>
+
+# BboxLoss
+---
+:::ultralytics.yolo.utils.loss.BboxLoss
+<br><br>
+
+# KeypointLoss
+---
+:::ultralytics.yolo.utils.loss.KeypointLoss
+<br><br>

docs/reference/yolo/utils/metrics.md

@@ -0,0 +1,98 @@
+---
+description: Explore Ultralytics YOLO's FocalLoss, DetMetrics, PoseMetrics, ClassifyMetrics, and more with Ultralytics Metrics documentation.
+---
+
+# FocalLoss
+---
+:::ultralytics.yolo.utils.metrics.FocalLoss
+<br><br>
+
+# ConfusionMatrix
+---
+:::ultralytics.yolo.utils.metrics.ConfusionMatrix
+<br><br>
+
+# Metric
+---
+:::ultralytics.yolo.utils.metrics.Metric
+<br><br>
+
+# DetMetrics
+---
+:::ultralytics.yolo.utils.metrics.DetMetrics
+<br><br>
+
+# SegmentMetrics
+---
+:::ultralytics.yolo.utils.metrics.SegmentMetrics
+<br><br>
+
+# PoseMetrics
+---
+:::ultralytics.yolo.utils.metrics.PoseMetrics
+<br><br>
+
+# ClassifyMetrics
+---
+:::ultralytics.yolo.utils.metrics.ClassifyMetrics
+<br><br>
+
+# box_area
+---
+:::ultralytics.yolo.utils.metrics.box_area
+<br><br>
+
+# bbox_ioa
+---
+:::ultralytics.yolo.utils.metrics.bbox_ioa
+<br><br>
+
+# box_iou
+---
+:::ultralytics.yolo.utils.metrics.box_iou
+<br><br>
+
+# bbox_iou
+---
+:::ultralytics.yolo.utils.metrics.bbox_iou
+<br><br>
+
+# mask_iou
+---
+:::ultralytics.yolo.utils.metrics.mask_iou
+<br><br>
+
+# kpt_iou
+---
+:::ultralytics.yolo.utils.metrics.kpt_iou
+<br><br>
+
+# smooth_BCE
+---
+:::ultralytics.yolo.utils.metrics.smooth_BCE
+<br><br>
+
+# smooth
+---
+:::ultralytics.yolo.utils.metrics.smooth
+<br><br>
+
+# plot_pr_curve
+---
+:::ultralytics.yolo.utils.metrics.plot_pr_curve
+<br><br>
+
+# plot_mc_curve
+---
+:::ultralytics.yolo.utils.metrics.plot_mc_curve
+<br><br>
+
+# compute_ap
+---
+:::ultralytics.yolo.utils.metrics.compute_ap
+<br><br>
+
+# ap_per_class
+---
+:::ultralytics.yolo.utils.metrics.ap_per_class
+<br><br>

docs/reference/yolo/utils/ops.md

@@ -0,0 +1,138 @@
+---
+description: Learn about various utility functions in Ultralytics YOLO, including x, y, width, height conversions, non-max suppression, and more.
+---
+
+# Profile
+---
+:::ultralytics.yolo.utils.ops.Profile
+<br><br>
+
+# coco80_to_coco91_class
+---
+:::ultralytics.yolo.utils.ops.coco80_to_coco91_class
+<br><br>
+
+# segment2box
+---
+:::ultralytics.yolo.utils.ops.segment2box
+<br><br>
+
+# scale_boxes
+---
+:::ultralytics.yolo.utils.ops.scale_boxes
+<br><br>
+
+# make_divisible
+---
+:::ultralytics.yolo.utils.ops.make_divisible
+<br><br>
+
+# non_max_suppression
+---
+:::ultralytics.yolo.utils.ops.non_max_suppression
+<br><br>
+
+# clip_boxes
+---
+:::ultralytics.yolo.utils.ops.clip_boxes
+<br><br>
+
+# clip_coords
+---
+:::ultralytics.yolo.utils.ops.clip_coords
+<br><br>
+
+# scale_image
+---
+:::ultralytics.yolo.utils.ops.scale_image
+<br><br>
+
+# xyxy2xywh
+---
+:::ultralytics.yolo.utils.ops.xyxy2xywh
+<br><br>
+
+# xywh2xyxy
+---
+:::ultralytics.yolo.utils.ops.xywh2xyxy
+<br><br>
+
+# xywhn2xyxy
+---
+:::ultralytics.yolo.utils.ops.xywhn2xyxy
+<br><br>
+
+# xyxy2xywhn
+---
+:::ultralytics.yolo.utils.ops.xyxy2xywhn
+<br><br>
+
+# xyn2xy
+---
+:::ultralytics.yolo.utils.ops.xyn2xy
+<br><br>
+
+# xywh2ltwh
+---
+:::ultralytics.yolo.utils.ops.xywh2ltwh
+<br><br>
+
+# xyxy2ltwh
+---
+:::ultralytics.yolo.utils.ops.xyxy2ltwh
+<br><br>
+
+# ltwh2xywh
+---
+:::ultralytics.yolo.utils.ops.ltwh2xywh
+<br><br>
+
+# ltwh2xyxy
+---
+:::ultralytics.yolo.utils.ops.ltwh2xyxy
+<br><br>
+
+# segments2boxes
+---
+:::ultralytics.yolo.utils.ops.segments2boxes
+<br><br>
+
+# resample_segments
+---
+:::ultralytics.yolo.utils.ops.resample_segments
+<br><br>
+
+# crop_mask
+---
+:::ultralytics.yolo.utils.ops.crop_mask
+<br><br>
+
+# process_mask_upsample
+---
+:::ultralytics.yolo.utils.ops.process_mask_upsample
+<br><br>
+
+# process_mask
+---
+:::ultralytics.yolo.utils.ops.process_mask
+<br><br>
+
+# process_mask_native
+---
+:::ultralytics.yolo.utils.ops.process_mask_native
+<br><br>
+
+# scale_coords
+---
+:::ultralytics.yolo.utils.ops.scale_coords
+<br><br>
+
+# masks2segments
+---
+:::ultralytics.yolo.utils.ops.masks2segments
+<br><br>
+
+# clean_str
+---
+:::ultralytics.yolo.utils.ops.clean_str
+<br><br>

docs/reference/yolo/utils/plotting.md

@@ -0,0 +1,43 @@
+---
+description: 'Discover the power of YOLO''s plotting functions: Colors, Labels and Images. Code examples to output targets and visualize features. Check it now.'
+---
+
+# Colors
+---
+:::ultralytics.yolo.utils.plotting.Colors
+<br><br>
+
+# Annotator
+---
+:::ultralytics.yolo.utils.plotting.Annotator
+<br><br>
+
+# plot_labels
+---
+:::ultralytics.yolo.utils.plotting.plot_labels
+<br><br>
+
+# save_one_box
+---
+:::ultralytics.yolo.utils.plotting.save_one_box
+<br><br>
+
+# plot_images
+---
+:::ultralytics.yolo.utils.plotting.plot_images
+<br><br>
+
+# plot_results
+---
+:::ultralytics.yolo.utils.plotting.plot_results
+<br><br>
+
+# output_to_target
+---
+:::ultralytics.yolo.utils.plotting.output_to_target
+<br><br>
+
+# feature_visualization
+---
+:::ultralytics.yolo.utils.plotting.feature_visualization
+<br><br>

docs/reference/yolo/utils/tal.md

@@ -0,0 +1,33 @@
+---
+description: Improve your YOLO models with Ultralytics' TaskAlignedAssigner, select_highest_overlaps, and dist2bbox utilities. Streamline your workflow today.
+---
+
+# TaskAlignedAssigner
+---
+:::ultralytics.yolo.utils.tal.TaskAlignedAssigner
+<br><br>
+
+# select_candidates_in_gts
+---
+:::ultralytics.yolo.utils.tal.select_candidates_in_gts
+<br><br>
+
+# select_highest_overlaps
+---
+:::ultralytics.yolo.utils.tal.select_highest_overlaps
+<br><br>
+
+# make_anchors
+---
+:::ultralytics.yolo.utils.tal.make_anchors
+<br><br>
+
+# dist2bbox
+---
+:::ultralytics.yolo.utils.tal.dist2bbox
+<br><br>
+
+# bbox2dist
+---
+:::ultralytics.yolo.utils.tal.bbox2dist
+<br><br>

docs/reference/yolo/utils/torch_utils.md

@@ -0,0 +1,123 @@
+---
+description: Optimize your PyTorch models with Ultralytics YOLO's torch_utils functions such as ModelEMA, select_device, and is_parallel.
+---
+
+# ModelEMA
+---
+:::ultralytics.yolo.utils.torch_utils.ModelEMA
+<br><br>
+
+# EarlyStopping
+---
+:::ultralytics.yolo.utils.torch_utils.EarlyStopping
+<br><br>
+
+# torch_distributed_zero_first
+---
+:::ultralytics.yolo.utils.torch_utils.torch_distributed_zero_first
+<br><br>
+
+# smart_inference_mode
+---
+:::ultralytics.yolo.utils.torch_utils.smart_inference_mode
+<br><br>
+
+# select_device
+---
+:::ultralytics.yolo.utils.torch_utils.select_device
+<br><br>
+
+# time_sync
+---
+:::ultralytics.yolo.utils.torch_utils.time_sync
+<br><br>
+
+# fuse_conv_and_bn
+---
+:::ultralytics.yolo.utils.torch_utils.fuse_conv_and_bn
+<br><br>
+
+# fuse_deconv_and_bn
+---
+:::ultralytics.yolo.utils.torch_utils.fuse_deconv_and_bn
+<br><br>
+
+# model_info
+---
+:::ultralytics.yolo.utils.torch_utils.model_info
+<br><br>
+
+# get_num_params
+---
+:::ultralytics.yolo.utils.torch_utils.get_num_params
+<br><br>
+
+# get_num_gradients
+---
+:::ultralytics.yolo.utils.torch_utils.get_num_gradients
+<br><br>
+
+# get_flops
+---
+:::ultralytics.yolo.utils.torch_utils.get_flops
+<br><br>
+
+# initialize_weights
+---
+:::ultralytics.yolo.utils.torch_utils.initialize_weights
+<br><br>
+
+# scale_img
+---
+:::ultralytics.yolo.utils.torch_utils.scale_img
+<br><br>
+
+# make_divisible
+---
+:::ultralytics.yolo.utils.torch_utils.make_divisible
+<br><br>
+
+# copy_attr
+---
+:::ultralytics.yolo.utils.torch_utils.copy_attr
+<br><br>
+
+# get_latest_opset
+---
+:::ultralytics.yolo.utils.torch_utils.get_latest_opset
+<br><br>
+
+# intersect_dicts
+---
+:::ultralytics.yolo.utils.torch_utils.intersect_dicts
+<br><br>
+
+# is_parallel
+---
+:::ultralytics.yolo.utils.torch_utils.is_parallel
+<br><br>
+
+# de_parallel
+---
+:::ultralytics.yolo.utils.torch_utils.de_parallel
+<br><br>
+
+# one_cycle
+---
+:::ultralytics.yolo.utils.torch_utils.one_cycle
+<br><br>
+
+# init_seeds
+---
+:::ultralytics.yolo.utils.torch_utils.init_seeds
+<br><br>
+
+# strip_optimizer
+---
+:::ultralytics.yolo.utils.torch_utils.strip_optimizer
+<br><br>
+
+# profile
+---
+:::ultralytics.yolo.utils.torch_utils.profile
+<br><br>