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/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