ReclassTransformer#

class ReclassTransformer[source]#

Bases: RasterTransformer

Maps class IDs in a label raster to other values.

__init__(mapping: Dict[int, int])[source]#

Construct a new ReclassTransformer.

Parameters

mapping (Dict[int, int]) – (dict) Remapping dictionary

Methods

__init__(mapping)

Construct a new ReclassTransformer.

transform(chip[, channel_order])

Transform a chip.
__init__(mapping: Dict[int, int])[source]#

Construct a new ReclassTransformer.

Parameters

mapping (Dict[int, int]) – (dict) Remapping dictionary

transform(chip: np.ndarray, channel_order: Optional[List[int]] = None)[source]#

Transform a chip.

Reclassify a label raster using the given mapping.

Parameters

  • chip (np.ndarray) – ndarray of shape [height, width, channels] This is assumed to already have the channel_order applied to it if channel_order is set. In other words, channels should be equal to len(channel_order).

  • channel_order (Optional[List[int]]) – list of indices of channels that were extracted from the raw imagery.

Returns

[height, width, channels] numpy array