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89 lines
1.8 KiB
89 lines
1.8 KiB
---
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description: Enhance image data with Albumentations CenterCrop, normalize, augment_hsv, replicate, random_perspective, cutout, & box_candidates.
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keywords: YOLO, object detection, data loaders, V5 augmentations, CenterCrop, normalize, random_perspective
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---
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# Albumentations
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---
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:::ultralytics.yolo.data.dataloaders.v5augmentations.Albumentations
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<br><br>
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# LetterBox
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---
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:::ultralytics.yolo.data.dataloaders.v5augmentations.LetterBox
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<br><br>
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# CenterCrop
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---
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:::ultralytics.yolo.data.dataloaders.v5augmentations.CenterCrop
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<br><br>
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# ToTensor
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---
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:::ultralytics.yolo.data.dataloaders.v5augmentations.ToTensor
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<br><br>
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# normalize
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---
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:::ultralytics.yolo.data.dataloaders.v5augmentations.normalize
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<br><br>
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# denormalize
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---
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:::ultralytics.yolo.data.dataloaders.v5augmentations.denormalize
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<br><br>
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# augment_hsv
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---
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:::ultralytics.yolo.data.dataloaders.v5augmentations.augment_hsv
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<br><br>
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# hist_equalize
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---
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:::ultralytics.yolo.data.dataloaders.v5augmentations.hist_equalize
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<br><br>
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# replicate
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---
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:::ultralytics.yolo.data.dataloaders.v5augmentations.replicate
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<br><br>
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# letterbox
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---
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:::ultralytics.yolo.data.dataloaders.v5augmentations.letterbox
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<br><br>
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# random_perspective
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---
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:::ultralytics.yolo.data.dataloaders.v5augmentations.random_perspective
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<br><br>
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# copy_paste
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---
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:::ultralytics.yolo.data.dataloaders.v5augmentations.copy_paste
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<br><br>
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# cutout
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---
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:::ultralytics.yolo.data.dataloaders.v5augmentations.cutout
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<br><br>
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# mixup
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---
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:::ultralytics.yolo.data.dataloaders.v5augmentations.mixup
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<br><br>
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# box_candidates
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---
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:::ultralytics.yolo.data.dataloaders.v5augmentations.box_candidates
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<br><br>
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# classify_albumentations
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---
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:::ultralytics.yolo.data.dataloaders.v5augmentations.classify_albumentations
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<br><br>
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# classify_transforms
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---
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:::ultralytics.yolo.data.dataloaders.v5augmentations.classify_transforms
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<br><br> |