StepOutput

class geodesic.tesseract.components.StepOutput(*args, **kwargs)

Bases: geodesic.bases._APIObject

An output for a processing step

asset_name

(str) - name of an asset this step emits

Descriptor: _StringDescr

type

(str) - the type of output

Descriptor: _RegexDescr

chunk_shape

the shape of the output from this asset from the container. Even if the container performs a reduction, please specify the full dimensions in the order (time, band/feature, rows, columns). (1, 1, 1, 1) for scaler output

Descriptor: _TupleDescr

pixel_dtype

(dtype, str) - the dtype of this ouptut asset

Descriptor: _DTypeDescr

fill_value

(int, float, str, complex) - the fill value for this output asset

Descriptor: _TypeConstrainedDescr

trim

(int) - the number of border pixels to remove from output of the model. This typically should match the overlap in the step input, but for cases like models that upsample (e.g. superresolution), this should trim off a different value.

Descriptor: _IntDescr

output_time_bins

(OutputTimeBins, dict) - how to generate output time bins

Descriptor: _TypeConstrainedDescr

output_bands

band objects

Descriptor: _ListDescr

Type

(OutputBand, dict, str) - band names or STAC eo

compression

(str) - the compression algorithm for output data

Descriptor: _StringDescr

chip_size

(int) - size of the chips to break work into (default=512, max=2048)

Descriptor: _IntDescr

pixels_options

(PixelsOptions, dict) - options that will be used to warp/reproject/resample a raster dataset into a specific grid/spatial reference before processing. If you are working with raster data from an input Dataset, this must be specified

Descriptor: _TypeConstrainedDescr

warp_options

(PixelsOptions, dict) - options that will be used to warp/reproject/resample a raster dataset into a specific grid/spatial reference before processing. If you are working with raster data from an input Dataset, this must be specified

Descriptor: _TypeConstrainedDescr

rasterize_options

(RasterizeOptions, dict) - options that will be used to rasterize a vector dataset into a specific grid/spatial reference before processing. If you are working with feature data from an input Dataset, this must be specified

Descriptor: _TypeConstrainedDescr

multiscale_options

(MultiscaleOptions, dict) - options used when creating multiscales for a particular asset

Descriptor: _TypeConstrainedDescr