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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. |
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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` |
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!!! Note |
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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). If you spot a problem please help fix it by [contributing](https://docs.ultralytics.com/help/contributing/) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/models/sam/amg.py) 🛠️. 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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