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Update SAM docs page (#3672)

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This commit is contained in:
Glenn Jocher
2023-07-12 00:13:29 +02:00
committed by GitHub
parent 1ae7f84394
commit b239246452
19 changed files with 76 additions and 22 deletions
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2
docs/reference/vit/rtdetr/model.md
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@ -6,4 +6,4 @@ keywords: RTDETR, Ultralytics, YOLO, object detection, speed, accuracy, implemen
## RTDETR
---
### ::: ultralytics.vit.rtdetr.model.RTDETR
<br><br>
<br><br>

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docs/reference/vit/rtdetr/predict.md
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@ -6,4 +6,4 @@ keywords: RTDETRPredictor, object detection, vision transformer, Ultralytics YOL
## RTDETRPredictor
---
### ::: ultralytics.vit.rtdetr.predict.RTDETRPredictor
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<br><br>

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docs/reference/vit/rtdetr/train.md
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@ -11,4 +11,4 @@ keywords: RTDETRTrainer, Ultralytics YOLO Docs, object detection, VIT-based RTDE
## train
---
### ::: ultralytics.vit.rtdetr.train.train
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<br><br>

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docs/reference/vit/rtdetr/val.md
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@ -11,4 +11,4 @@ keywords: RTDETRDataset, RTDETRValidator, data validation, documentation
## RTDETRValidator
---
### ::: ultralytics.vit.rtdetr.val.RTDETRValidator
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<br><br>

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docs/reference/vit/sam/amg.md
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@ -86,4 +86,4 @@ keywords: Ultralytics, SAM, MaskData, mask_to_rle_pytorch, area_from_rle, genera
## batched_mask_to_box
---
### ::: ultralytics.vit.sam.amg.batched_mask_to_box
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<br><br>

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docs/reference/vit/sam/autosize.md
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@ -6,4 +6,4 @@ keywords: ResizeLongestSide, Ultralytics YOLO, automatic image resizing, image r
## ResizeLongestSide
---
### ::: ultralytics.vit.sam.autosize.ResizeLongestSide
<br><br>
<br><br>

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docs/reference/vit/sam/build.md
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@ -26,4 +26,4 @@ keywords: SAM, VIT, computer vision models, build SAM models, build VIT models,
## build_sam
---
### ::: ultralytics.vit.sam.build.build_sam
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<br><br>

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docs/reference/vit/sam/model.md
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@ -6,4 +6,4 @@ keywords: Ultralytics, VIT, SAM, object detection, computer vision, deep learnin
## SAM
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### ::: ultralytics.vit.sam.model.SAM
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docs/reference/vit/sam/modules/decoders.md
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@ -1,3 +1,8 @@
---
description: Learn about Ultralytics YOLO's MaskDecoder, Transformer architecture, MLP, mask prediction, and quality prediction.
keywords: Ultralytics YOLO, MaskDecoder, Transformer architecture, mask prediction, image embeddings, prompt embeddings, multi-mask output, MLP, mask quality prediction
---
## MaskDecoder
---
### ::: ultralytics.vit.sam.modules.decoders.MaskDecoder

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docs/reference/vit/sam/modules/encoders.md
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@ -51,4 +51,4 @@ keywords: Ultralytics YOLO, ViT Encoder, Position Embeddings, Attention, Window
## add_decomposed_rel_pos
---
### ::: ultralytics.vit.sam.modules.encoders.add_decomposed_rel_pos
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docs/reference/vit/sam/modules/mask_generator.md
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@ -6,4 +6,4 @@ keywords: SamAutomaticMaskGenerator, Ultralytics YOLO, automatic mask generator,
## SamAutomaticMaskGenerator
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### ::: ultralytics.vit.sam.modules.mask_generator.SamAutomaticMaskGenerator
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docs/reference/vit/sam/modules/prompt_predictor.md
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@ -6,4 +6,4 @@ keywords: PromptPredictor, Ultralytics, YOLO, VIT SAM, image captioning, deep le
## PromptPredictor
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### ::: ultralytics.vit.sam.modules.prompt_predictor.PromptPredictor
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docs/reference/vit/sam/modules/sam.md
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@ -6,4 +6,4 @@ keywords: Ultralytics VIT, Sam module, PyTorch vision library, image classificat
## Sam
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### ::: ultralytics.vit.sam.modules.sam.Sam
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docs/reference/vit/sam/modules/transformer.md
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@ -16,4 +16,4 @@ keywords: Ultralytics YOLO, Attention module, TwoWayTransformer module, Object D
## Attention
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### ::: ultralytics.vit.sam.modules.transformer.Attention
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docs/reference/vit/sam/predict.md
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@ -6,4 +6,4 @@ keywords: Ultralytics, VIT SAM Predictor, object detection, YOLO
## Predictor
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### ::: ultralytics.vit.sam.predict.Predictor
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docs/reference/vit/utils/loss.md
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@ -11,4 +11,4 @@ keywords: DETRLoss, RTDETRDetectionLoss, Ultralytics, object detection, image cl
## RTDETRDetectionLoss
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### ::: ultralytics.vit.utils.loss.RTDETRDetectionLoss
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docs/reference/vit/utils/ops.md
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@ -16,4 +16,4 @@ keywords: Ultralytics, YOLO, object detection, HungarianMatcher, inverse_sigmoid
## inverse_sigmoid
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### ::: ultralytics.vit.utils.ops.inverse_sigmoid
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docs/reference/yolo/utils/downloads.md
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@ -23,6 +23,11 @@ keywords: Ultralytics YOLO, downloads, trained models, datasets, weights, deep l
### ::: ultralytics.yolo.utils.downloads.safe_download
<br><br>
## get_github_assets
---
### ::: ultralytics.yolo.utils.downloads.get_github_assets
<br><br>
## attempt_download_asset
---
### ::: ultralytics.yolo.utils.downloads.attempt_download_asset