yolov8-to/docs/reference/models/sam/amg.md

metadata

description: >-
  Explore Ultralytics methods for mask data processing, transformation and
  encoding. Deepen your understanding of RLE encoding, image cropping and more.
keywords: >-
  Ultralytics, Mask Data, Transformation, Encoding, RLE encoding, Image
  cropping, Pytorch, SAM, AMG, Ultralytics model

Reference for ultralytics/models/sam/amg.py

!!! note

Full source code for this file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/sam/amg.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/sam/amg.py). Help us fix any issues you see by submitting a [Pull Request](https://docs.ultralytics.com/help/contributing/) 🛠️. Thank you 🙏!

---

::: ultralytics.models.sam.amg.is_box_near_crop_edge

---

::: ultralytics.models.sam.amg.batch_iterator

---

::: ultralytics.models.sam.amg.calculate_stability_score

---

::: ultralytics.models.sam.amg.build_point_grid

---

::: ultralytics.models.sam.amg.build_all_layer_point_grids

---

::: ultralytics.models.sam.amg.generate_crop_boxes

---

::: ultralytics.models.sam.amg.uncrop_boxes_xyxy

---

::: ultralytics.models.sam.amg.uncrop_points

---

::: ultralytics.models.sam.amg.uncrop_masks

---

::: ultralytics.models.sam.amg.remove_small_regions

---

::: ultralytics.models.sam.amg.batched_mask_to_box