YOLOv8-16bit/docs/reference/models/sam/amg.md

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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
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# 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 🙏!

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## ::: ultralytics.models.sam.amg.is_box_near_crop_edge
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## ::: ultralytics.models.sam.amg.batch_iterator
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## ::: ultralytics.models.sam.amg.calculate_stability_score
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## ::: ultralytics.models.sam.amg.build_point_grid
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## ::: ultralytics.models.sam.amg.build_all_layer_point_grids
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## ::: ultralytics.models.sam.amg.generate_crop_boxes
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## ::: ultralytics.models.sam.amg.uncrop_boxes_xyxy
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## ::: ultralytics.models.sam.amg.uncrop_points
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## ::: ultralytics.models.sam.amg.uncrop_masks
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## ::: ultralytics.models.sam.amg.remove_small_regions
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## ::: ultralytics.models.sam.amg.batched_mask_to_box
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