退购1.1定位算法

docs/reference/yolo/data/annotator.md

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+---
+description: Learn how to use auto_annotate in Ultralytics YOLO to generate annotations automatically for your dataset. Simplify object detection workflows.
+---
+
+# auto_annotate
+---
+:::ultralytics.yolo.data.annotator.auto_annotate
+<br><br>

docs/reference/yolo/data/augment.md

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+---
+description: Use Ultralytics YOLO Data Augmentation transforms with Base, MixUp, and Albumentations for object detection and classification.
+---
+
+# BaseTransform
+---
+:::ultralytics.yolo.data.augment.BaseTransform
+<br><br>
+
+# Compose
+---
+:::ultralytics.yolo.data.augment.Compose
+<br><br>
+
+# BaseMixTransform
+---
+:::ultralytics.yolo.data.augment.BaseMixTransform
+<br><br>
+
+# Mosaic
+---
+:::ultralytics.yolo.data.augment.Mosaic
+<br><br>
+
+# MixUp
+---
+:::ultralytics.yolo.data.augment.MixUp
+<br><br>
+
+# RandomPerspective
+---
+:::ultralytics.yolo.data.augment.RandomPerspective
+<br><br>
+
+# RandomHSV
+---
+:::ultralytics.yolo.data.augment.RandomHSV
+<br><br>
+
+# RandomFlip
+---
+:::ultralytics.yolo.data.augment.RandomFlip
+<br><br>
+
+# LetterBox
+---
+:::ultralytics.yolo.data.augment.LetterBox
+<br><br>
+
+# CopyPaste
+---
+:::ultralytics.yolo.data.augment.CopyPaste
+<br><br>
+
+# Albumentations
+---
+:::ultralytics.yolo.data.augment.Albumentations
+<br><br>
+
+# Format
+---
+:::ultralytics.yolo.data.augment.Format
+<br><br>
+
+# ClassifyLetterBox
+---
+:::ultralytics.yolo.data.augment.ClassifyLetterBox
+<br><br>
+
+# CenterCrop
+---
+:::ultralytics.yolo.data.augment.CenterCrop
+<br><br>
+
+# ToTensor
+---
+:::ultralytics.yolo.data.augment.ToTensor
+<br><br>
+
+# v8_transforms
+---
+:::ultralytics.yolo.data.augment.v8_transforms
+<br><br>
+
+# classify_transforms
+---
+:::ultralytics.yolo.data.augment.classify_transforms
+<br><br>
+
+# classify_albumentations
+---
+:::ultralytics.yolo.data.augment.classify_albumentations
+<br><br>

docs/reference/yolo/data/base.md

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+---
+description: Learn about BaseDataset in Ultralytics YOLO, a flexible dataset class for object detection. Maximize your YOLO performance with custom datasets.
+---
+
+# BaseDataset
+---
+:::ultralytics.yolo.data.base.BaseDataset
+<br><br>

docs/reference/yolo/data/build.md

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+---
+description: Maximize YOLO performance with Ultralytics' InfiniteDataLoader, seed_worker, build_dataloader, and load_inference_source functions.
+---
+
+# InfiniteDataLoader
+---
+:::ultralytics.yolo.data.build.InfiniteDataLoader
+<br><br>
+
+# _RepeatSampler
+---
+:::ultralytics.yolo.data.build._RepeatSampler
+<br><br>
+
+# seed_worker
+---
+:::ultralytics.yolo.data.build.seed_worker
+<br><br>
+
+# build_yolo_dataset
+---
+:::ultralytics.yolo.data.build.build_yolo_dataset
+<br><br>
+
+# build_dataloader
+---
+:::ultralytics.yolo.data.build.build_dataloader
+<br><br>
+
+# check_source
+---
+:::ultralytics.yolo.data.build.check_source
+<br><br>
+
+# load_inference_source
+---
+:::ultralytics.yolo.data.build.load_inference_source
+<br><br>

docs/reference/yolo/data/converter.md

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+---
+description: Convert COCO-91 to COCO-80 class, RLE to polygon, and merge multi-segment images with Ultralytics YOLO data converter. Improve your object detection.
+---
+
+# coco91_to_coco80_class
+---
+:::ultralytics.yolo.data.converter.coco91_to_coco80_class
+<br><br>
+
+# convert_coco
+---
+:::ultralytics.yolo.data.converter.convert_coco
+<br><br>
+
+# rle2polygon
+---
+:::ultralytics.yolo.data.converter.rle2polygon
+<br><br>
+
+# min_index
+---
+:::ultralytics.yolo.data.converter.min_index
+<br><br>
+
+# merge_multi_segment
+---
+:::ultralytics.yolo.data.converter.merge_multi_segment
+<br><br>
+
+# delete_dsstore
+---
+:::ultralytics.yolo.data.converter.delete_dsstore
+<br><br>

docs/reference/yolo/data/dataloaders/stream_loaders.md

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+---
+description: 'Ultralytics YOLO Docs: Learn about stream loaders for image and tensor data, as well as autocasting techniques. Check out SourceTypes and more.'
+---
+
+# SourceTypes
+---
+:::ultralytics.yolo.data.dataloaders.stream_loaders.SourceTypes
+<br><br>
+
+# LoadStreams
+---
+:::ultralytics.yolo.data.dataloaders.stream_loaders.LoadStreams
+<br><br>
+
+# LoadScreenshots
+---
+:::ultralytics.yolo.data.dataloaders.stream_loaders.LoadScreenshots
+<br><br>
+
+# LoadImages
+---
+:::ultralytics.yolo.data.dataloaders.stream_loaders.LoadImages
+<br><br>
+
+# LoadPilAndNumpy
+---
+:::ultralytics.yolo.data.dataloaders.stream_loaders.LoadPilAndNumpy
+<br><br>
+
+# LoadTensor
+---
+:::ultralytics.yolo.data.dataloaders.stream_loaders.LoadTensor
+<br><br>
+
+# autocast_list
+---
+:::ultralytics.yolo.data.dataloaders.stream_loaders.autocast_list
+<br><br>

docs/reference/yolo/data/dataloaders/v5augmentations.md

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+---
+description: Enhance image data with Albumentations CenterCrop, normalize, augment_hsv, replicate, random_perspective, cutout, & box_candidates.
+---
+
+# Albumentations
+---
+:::ultralytics.yolo.data.dataloaders.v5augmentations.Albumentations
+<br><br>
+
+# LetterBox
+---
+:::ultralytics.yolo.data.dataloaders.v5augmentations.LetterBox
+<br><br>
+
+# CenterCrop
+---
+:::ultralytics.yolo.data.dataloaders.v5augmentations.CenterCrop
+<br><br>
+
+# ToTensor
+---
+:::ultralytics.yolo.data.dataloaders.v5augmentations.ToTensor
+<br><br>
+
+# normalize
+---
+:::ultralytics.yolo.data.dataloaders.v5augmentations.normalize
+<br><br>
+
+# denormalize
+---
+:::ultralytics.yolo.data.dataloaders.v5augmentations.denormalize
+<br><br>
+
+# augment_hsv
+---
+:::ultralytics.yolo.data.dataloaders.v5augmentations.augment_hsv
+<br><br>
+
+# hist_equalize
+---
+:::ultralytics.yolo.data.dataloaders.v5augmentations.hist_equalize
+<br><br>
+
+# replicate
+---
+:::ultralytics.yolo.data.dataloaders.v5augmentations.replicate
+<br><br>
+
+# letterbox
+---
+:::ultralytics.yolo.data.dataloaders.v5augmentations.letterbox
+<br><br>
+
+# random_perspective
+---
+:::ultralytics.yolo.data.dataloaders.v5augmentations.random_perspective
+<br><br>
+
+# copy_paste
+---
+:::ultralytics.yolo.data.dataloaders.v5augmentations.copy_paste
+<br><br>
+
+# cutout
+---
+:::ultralytics.yolo.data.dataloaders.v5augmentations.cutout
+<br><br>
+
+# mixup
+---
+:::ultralytics.yolo.data.dataloaders.v5augmentations.mixup
+<br><br>
+
+# box_candidates
+---
+:::ultralytics.yolo.data.dataloaders.v5augmentations.box_candidates
+<br><br>
+
+# classify_albumentations
+---
+:::ultralytics.yolo.data.dataloaders.v5augmentations.classify_albumentations
+<br><br>
+
+# classify_transforms
+---
+:::ultralytics.yolo.data.dataloaders.v5augmentations.classify_transforms
+<br><br>

docs/reference/yolo/data/dataloaders/v5loader.md

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+---
+description: Efficiently load images and labels to models using Ultralytics YOLO's InfiniteDataLoader, LoadScreenshots, and LoadStreams.
+---
+
+# InfiniteDataLoader
+---
+:::ultralytics.yolo.data.dataloaders.v5loader.InfiniteDataLoader
+<br><br>
+
+# _RepeatSampler
+---
+:::ultralytics.yolo.data.dataloaders.v5loader._RepeatSampler
+<br><br>
+
+# LoadScreenshots
+---
+:::ultralytics.yolo.data.dataloaders.v5loader.LoadScreenshots
+<br><br>
+
+# LoadImages
+---
+:::ultralytics.yolo.data.dataloaders.v5loader.LoadImages
+<br><br>
+
+# LoadStreams
+---
+:::ultralytics.yolo.data.dataloaders.v5loader.LoadStreams
+<br><br>
+
+# LoadImagesAndLabels
+---
+:::ultralytics.yolo.data.dataloaders.v5loader.LoadImagesAndLabels
+<br><br>
+
+# ClassificationDataset
+---
+:::ultralytics.yolo.data.dataloaders.v5loader.ClassificationDataset
+<br><br>
+
+# get_hash
+---
+:::ultralytics.yolo.data.dataloaders.v5loader.get_hash
+<br><br>
+
+# exif_size
+---
+:::ultralytics.yolo.data.dataloaders.v5loader.exif_size
+<br><br>
+
+# exif_transpose
+---
+:::ultralytics.yolo.data.dataloaders.v5loader.exif_transpose
+<br><br>
+
+# seed_worker
+---
+:::ultralytics.yolo.data.dataloaders.v5loader.seed_worker
+<br><br>
+
+# create_dataloader
+---
+:::ultralytics.yolo.data.dataloaders.v5loader.create_dataloader
+<br><br>
+
+# img2label_paths
+---
+:::ultralytics.yolo.data.dataloaders.v5loader.img2label_paths
+<br><br>
+
+# flatten_recursive
+---
+:::ultralytics.yolo.data.dataloaders.v5loader.flatten_recursive
+<br><br>
+
+# extract_boxes
+---
+:::ultralytics.yolo.data.dataloaders.v5loader.extract_boxes
+<br><br>
+
+# autosplit
+---
+:::ultralytics.yolo.data.dataloaders.v5loader.autosplit
+<br><br>
+
+# verify_image_label
+---
+:::ultralytics.yolo.data.dataloaders.v5loader.verify_image_label
+<br><br>
+
+# create_classification_dataloader
+---
+:::ultralytics.yolo.data.dataloaders.v5loader.create_classification_dataloader
+<br><br>

docs/reference/yolo/data/dataset.md

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+---
+description: Create custom YOLOv5 datasets with Ultralytics YOLODataset and SemanticDataset. Streamline your object detection and segmentation projects.
+---
+
+# YOLODataset
+---
+:::ultralytics.yolo.data.dataset.YOLODataset
+<br><br>
+
+# ClassificationDataset
+---
+:::ultralytics.yolo.data.dataset.ClassificationDataset
+<br><br>
+
+# SemanticDataset
+---
+:::ultralytics.yolo.data.dataset.SemanticDataset
+<br><br>

docs/reference/yolo/data/dataset_wrappers.md

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+---
+description: Create a custom dataset of mixed and oriented rectangular objects with Ultralytics YOLO's MixAndRectDataset.
+---
+
+# MixAndRectDataset
+---
+:::ultralytics.yolo.data.dataset_wrappers.MixAndRectDataset
+<br><br>

docs/reference/yolo/data/utils.md

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+---
+description: Efficiently handle data in YOLO with Ultralytics. Utilize HUBDatasetStats and customize dataset with these data utility functions.
+---
+
+# HUBDatasetStats
+---
+:::ultralytics.yolo.data.utils.HUBDatasetStats
+<br><br>
+
+# img2label_paths
+---
+:::ultralytics.yolo.data.utils.img2label_paths
+<br><br>
+
+# get_hash
+---
+:::ultralytics.yolo.data.utils.get_hash
+<br><br>
+
+# exif_size
+---
+:::ultralytics.yolo.data.utils.exif_size
+<br><br>
+
+# verify_image_label
+---
+:::ultralytics.yolo.data.utils.verify_image_label
+<br><br>
+
+# polygon2mask
+---
+:::ultralytics.yolo.data.utils.polygon2mask
+<br><br>
+
+# polygons2masks
+---
+:::ultralytics.yolo.data.utils.polygons2masks
+<br><br>
+
+# polygons2masks_overlap
+---
+:::ultralytics.yolo.data.utils.polygons2masks_overlap
+<br><br>
+
+# check_det_dataset
+---
+:::ultralytics.yolo.data.utils.check_det_dataset
+<br><br>
+
+# check_cls_dataset
+---
+:::ultralytics.yolo.data.utils.check_cls_dataset
+<br><br>
+
+# compress_one_image
+---
+:::ultralytics.yolo.data.utils.compress_one_image
+<br><br>
+
+# delete_dsstore
+---
+:::ultralytics.yolo.data.utils.delete_dsstore
+<br><br>
+
+# zip_directory
+---
+:::ultralytics.yolo.data.utils.zip_directory
+<br><br>