退购1.1定位算法

This commit is contained in:
jiajie555
2023-08-10 12:25:23 +08:00
commit 11e12f1899
371 changed files with 46027 additions and 0 deletions

View File

@ -0,0 +1,38 @@
---
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>

View File

@ -0,0 +1,88 @@
---
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>

View File

@ -0,0 +1,93 @@
---
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>