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# IOU and NMS Operations
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Intersection over Union calculations and Non-Maximum Suppression algorithms for filtering and merging detection results.
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## Capabilities
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### IOU Calculation
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```python { .api }
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def box_iou(boxes_true: np.ndarray, boxes_detection: np.ndarray) -> np.ndarray:
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    """Calculate IoU between two sets of boxes."""
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def box_iou_batch(boxes_true: np.ndarray, boxes_detection: np.ndarray) -> np.ndarray:
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    """Batch IoU calculation between box sets."""
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def mask_iou_batch(masks_true: np.ndarray, masks_detection: np.ndarray) -> np.ndarray:
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    """Calculate IoU between segmentation masks."""
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def oriented_box_iou_batch(boxes_true: np.ndarray, boxes_detection: np.ndarray) -> np.ndarray:
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    """IoU calculation for oriented bounding boxes."""
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```
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### Non-Maximum Suppression
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```python { .api }
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def box_non_max_suppression(predictions: np.ndarray, iou_threshold: float = 0.5) -> np.ndarray:
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    """Apply NMS to remove overlapping boxes."""
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def mask_non_max_suppression(predictions: np.ndarray, masks: np.ndarray, iou_threshold: float = 0.5) -> np.ndarray:
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    """Apply NMS using mask IoU."""
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def box_non_max_merge(predictions: np.ndarray, iou_threshold: float = 0.5) -> np.ndarray:
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    """Merge overlapping boxes instead of suppressing."""
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class OverlapMetric(Enum):
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    IOU = "iou"
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    IOS = "ios"
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class OverlapFilter(Enum):
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    NMS = "nms"
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    NMM = "nmm"
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```