deepness.common.processing_parameters.segmentation_parameters.SegmentationParameters¶

class SegmentationParameters(resolution_cm_per_px: float, processed_area_type: ProcessedAreaType, tile_size_px: int, batch_size: int, local_cache: bool, input_layer_id: str, mask_layer_id: str | None, processing_overlap: ProcessingOverlap, input_channels_mapping: ChannelsMapping, postprocessing_dilate_erode_size: int, model: ModelBase, pixel_classification__probability_threshold: float)¶

Bases: MapProcessingParameters

Parameters for Inference of Segmentation model (including pre/post-processing) obtained from UI.

Methods

Attributes

`processing_overlap_px`	Always divisible by 2, because overlap is on both sides of the tile
`processing_stride_px`
`resolution_m_per_px`
`tile_size_m`
`postprocessing_dilate_erode_size`
`model`
`pixel_classification__probability_threshold`

property processing_overlap_px: int¶: Always divisible by 2, because overlap is on both sides of the tile