You can not select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.

90 lines
1.9 KiB

---
description: Enhance image data with Albumentations CenterCrop, normalize, augment_hsv, replicate, random_perspective, cutout, & box_candidates.
keywords: YOLO, object detection, data loaders, V5 augmentations, CenterCrop, normalize, random_perspective
---
## 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>