pyflink.multimodal.expression.ImageExpressionAccessor.segment

ImageExpressionAccessor.segment(*, model: str = 'FastSAM-x.pt', confidence: float = 0.05, imgsz: int = 1024, iou: float = 0.5, model_sharing: Optional[Literal['process', 'shared']] = None, concurrency: Optional[int] = None, batch_size: Optional[int] = None, num_gpus: Optional[float] = None, gpu_type: Optional[str] = None) → pyflink.table.expression.Expression

Segment objects or regions in image values.

Equivalent to image_segment(). See that function for full parameter details.

Parameters

• model – Segmentation model name or path.

• confidence – Minimum segmentation confidence.

• imgsz – Inference image size.

• iou – IoU threshold used for mask filtering.

• model_sharing – Optional model sharing mode.

• concurrency – Optional execution concurrency for this operation. None uses the framework default.

• batch_size – Optional inference batch size.

• num_gpus – Optional number of GPUs requested for model inference.

• gpu_type – Optional GPU type requested for model inference.

Returns

A DataFrame expression that produces BINARY indexed PNG mask bytes.