Instance Segmentation

class model_api.tilers.instance_segmentation.InstanceSegmentationTiler(model, configuration={}, execution_mode='async', tile_classifier_model=None)

Bases: DetectionTiler[InstanceSegmentationResult]

Tiler for object instance segmentation models. This tiler expects model to output a list of SegmentedObject objects.

In addition, this tiler allows to use a tile classifier model, which predicts objectness score for each tile. Later, tiles can be filtered by this score.

Constructor for creating a semantic segmentation tiling pipeline

Parameters:

• model – underlying model

• configuration (dict) – it contains values for parameters accepted by specific

• tiler (tile_size, tiles_overlap etc.)

• execution_mode – Controls inference mode of the tiler (async or sync).

• tile_classifier_model – an ImageModel, which has “tile_prob” output.