StepOutput¶
- class geodesic.tesseract.components.StepOutput(*args, **kwargs)[source]¶
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 assetDescriptor:
_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 binsDescriptor:
_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 specifiedDescriptor:
_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 specifiedDescriptor:
_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 specifiedDescriptor:
_TypeConstrainedDescr
- multiscale_options¶
(
MultiscaleOptions
, dict) - options used when creating multiscales for a particular assetDescriptor:
_TypeConstrainedDescr