ultralytics 8.0.134 add MobileSAM support (#3474)

Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: Ayush Chaurasia <ayush.chaurarsia@gmail.com>
Co-authored-by: Laughing <61612323+Laughing-q@users.noreply.github.com>
Co-authored-by: Laughing-q <1185102784@qq.com>
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>

docs/reference/vit/sam/autosize.md

@@ -1,9 +0,0 @@
----
-description: Learn how to use the ResizeLongestSide module in Ultralytics YOLO for automatic image resizing. Resize your images with ease.
-keywords: ResizeLongestSide, Ultralytics YOLO, automatic image resizing, image resizing
----
-
-## ResizeLongestSide
----
-### ::: ultralytics.vit.sam.autosize.ResizeLongestSide
-<br><br>

docs/reference/vit/sam/build.md

@@ -18,6 +18,11 @@ keywords: SAM, VIT, computer vision models, build SAM models, build VIT models,
 ### ::: ultralytics.vit.sam.build.build_sam_vit_b
 <br><br>
 
+## build_mobile_sam
+---
+### ::: ultralytics.vit.sam.build.build_mobile_sam
+<br><br>
+
 ## _build_sam
 ---
 ### ::: ultralytics.vit.sam.build._build_sam

docs/reference/vit/sam/modules/mask_generator.md

@@ -1,9 +0,0 @@
----
-description: Learn about the SamAutomaticMaskGenerator module in Ultralytics YOLO, an automatic mask generator for image segmentation.
-keywords: SamAutomaticMaskGenerator, Ultralytics YOLO, automatic mask generator, image segmentation
----
-
-## SamAutomaticMaskGenerator
----
-### ::: ultralytics.vit.sam.modules.mask_generator.SamAutomaticMaskGenerator
-<br><br>

docs/reference/vit/sam/modules/prompt_predictor.md

@@ -1,9 +0,0 @@
----
-description: Learn about PromptPredictor - a module in Ultralytics VIT SAM that predicts image captions based on prompts. Get started today!.
-keywords: PromptPredictor, Ultralytics, YOLO, VIT SAM, image captioning, deep learning, computer vision
----
-
-## PromptPredictor
----
-### ::: ultralytics.vit.sam.modules.prompt_predictor.PromptPredictor
-<br><br>

docs/reference/vit/sam/modules/tiny_encoder.md

@@ -0,0 +1,59 @@
+---
+description: Learn about the Conv2d_BN, MBConv, ConvLayer, Attention, BasicLayer, and TinyViT modules.
+keywords: Conv2d_BN, MBConv, ConvLayer, Attention, BasicLayer, TinyViT
+---
+
+## Conv2d_BN
+---
+### ::: ultralytics.vit.sam.modules.tiny_encoder.Conv2d_BN
+<br><br>
+
+## PatchEmbed
+---
+### ::: ultralytics.vit.sam.modules.tiny_encoder.PatchEmbed
+<br><br>
+
+## MBConv
+---
+### ::: ultralytics.vit.sam.modules.tiny_encoder.MBConv
+<br><br>
+
+## PatchMerging
+---
+### ::: ultralytics.vit.sam.modules.tiny_encoder.PatchMerging
+<br><br>
+
+## ConvLayer
+---
+### ::: ultralytics.vit.sam.modules.tiny_encoder.ConvLayer
+<br><br>
+
+## Mlp
+---
+### ::: ultralytics.vit.sam.modules.tiny_encoder.Mlp
+<br><br>
+
+## Attention
+---
+### ::: ultralytics.vit.sam.modules.tiny_encoder.Attention
+<br><br>
+
+## TinyViTBlock
+---
+### ::: ultralytics.vit.sam.modules.tiny_encoder.TinyViTBlock
+<br><br>
+
+## BasicLayer
+---
+### ::: ultralytics.vit.sam.modules.tiny_encoder.BasicLayer
+<br><br>
+
+## LayerNorm2d
+---
+### ::: ultralytics.vit.sam.modules.tiny_encoder.LayerNorm2d
+<br><br>
+
+## TinyViT
+---
+### ::: ultralytics.vit.sam.modules.tiny_encoder.TinyViT
+<br><br>

docs/reference/yolo/fastsam/model.md

@@ -0,0 +1,9 @@
+---
+description: Learn how to use FastSAM in Ultralytics YOLO to improve object detection accuracy and speed.
+keywords: FastSAM, object detection, accuracy, speed, Ultralytics YOLO
+---
+
+## FastSAM
+---
+### ::: ultralytics.yolo.fastsam.model.FastSAM
+<br><br>

docs/reference/yolo/fastsam/predict.md

@@ -0,0 +1,9 @@
+---
+description: FastSAMPredictor API reference and usage guide for the Ultralytics YOLO object detection library.
+keywords: FastSAMPredictor, API, reference, usage, guide, Ultralytics, YOLO, object detection, library
+---
+
+## FastSAMPredictor
+---
+### ::: ultralytics.yolo.fastsam.predict.FastSAMPredictor
+<br><br>

docs/reference/yolo/fastsam/prompt.md

@@ -0,0 +1,9 @@
+---
+description: Learn how to use FastSAMPrompt in Ultralytics YOLO for fast and efficient object detection and tracking.
+keywords: FastSAMPrompt, Ultralytics YOLO, object detection, tracking, fast, efficient
+---
+
+## FastSAMPrompt
+---
+### ::: ultralytics.yolo.fastsam.prompt.FastSAMPrompt
+<br><br>

docs/reference/yolo/fastsam/utils.md

@@ -0,0 +1,14 @@
+---
+description: Learn how to adjust bounding boxes to the image border in Ultralytics YOLO framework. Improve object detection accuracy by accounting for image borders.
+keywords: adjust_bboxes_to_image_border, Ultralytics YOLO, object detection, bounding boxes, image border
+---
+
+## adjust_bboxes_to_image_border
+---
+### ::: ultralytics.yolo.fastsam.utils.adjust_bboxes_to_image_border
+<br><br>
+
+## bbox_iou
+---
+### ::: ultralytics.yolo.fastsam.utils.bbox_iou
+<br><br>

docs/reference/yolo/fastsam/val.md

@@ -0,0 +1,9 @@
+---
+description: Learn about the FastSAMValidator module in Ultralytics YOLO. Validate and evaluate Segment Anything Model (SAM) datasets for object detection models with ease.
+keywords: FastSAMValidator, Ultralytics YOLO, SAM datasets, object detection, validation, evaluation
+---
+
+## FastSAMValidator
+---
+### ::: ultralytics.yolo.fastsam.val.FastSAMValidator
+<br><br>

docs/reference/yolo/utils/ops.md

@@ -123,6 +123,11 @@ keywords: Ultralytics, YOLO, Utils Ops, Functions, coco80_to_coco91_class, scale
 ### ::: ultralytics.yolo.utils.ops.process_mask_native
 <br><br>
 
+## scale_masks
+---
+### ::: ultralytics.yolo.utils.ops.scale_masks
+<br><br>
+
 ## scale_coords
 ---
 ### ::: ultralytics.yolo.utils.ops.scale_coords