Skip to main content
Private Preview

DatasetEnum

Enumerate all available shared dataset identifiers.

Values

S2_BEST_SCENE_WINDOWED_PIXEL
enum
S2_MED_HARVEST
enum
S2_MED_PLANTING
enum
S2_MED_WINDOWED_PIXEL
enum
S2_MED_WINDOWED_PIXEL_ALL_BANDS
enum

DistanceMetricEnum

Enum where members are also (and must be) strings

Values

ALPHA_EARTH_COSINE
enum
COSINE
enum
EUCLIDEAN
enum

GeometryActorEnum

Values

TEXT_TO_BOUNDING_BOXES
enum
TEXT_TO_VECTOR_GEOMETRIES
enum

GeometryModelRecipes

Shared public geometry model recipes exposed by RasterFlow clients.

Values

SAM3_TEXT_BBOX
enum
SAM3_TEXT_GEOMETRY
enum

GeometryOutput

GeometryOutput(**data: Any)
Output reference for geometry inference workflow artifacts. Attributes

InferenceConfig

InferenceConfig(**data: Any)
Configuration for model inference in RasterFlow. Attributes

MergeModeEnum

Enum where members are also (and must be) strings

Values

CLIP
enum
NONE
enum
WEIGHTED_AVERAGE
enum

ModelRecipes

Shared public model recipes exposed by RasterFlow clients.

Values

CHESAPEAKE_RSC
enum
FTW
enum
META_CHM_V1
enum
TILE_2_NET
enum

ModelRegistryConfig

ModelRegistryConfig(**data: Any)
!!! abstract “Usage Documentation” Models A base class for creating Pydantic models. Attributes: class_vars: The names of the class variables defined on the model. private_attributes: Metadata about the private attributes of the model. signature: The synthesized __init__ [Signature][inspect.Signature] of the model. pydantic_complete: Whether model building is completed, or if there are still undefined fields. pydantic_core_schema: The core schema of the model. pydantic_custom_init: Whether the model has a custom __init__ function. pydantic_decorators: Metadata containing the decorators defined on the model. This replaces Model.__validators__ and Model.__root_validators__ from Pydantic V1. pydantic_generic_metadata: Metadata for generic models; contains data used for a similar purpose to args, origin, parameters in typing-module generics. May eventually be replaced by these. pydantic_parent_namespace: Parent namespace of the model, used for automatic rebuilding of models. pydantic_post_init: The name of the post-init method for the model, if defined. pydantic_root_model: Whether the model is a [RootModel][pydantic.root_model.RootModel]. pydantic_serializer: The pydantic-core SchemaSerializer used to dump instances of the model. pydantic_validator: The pydantic-core SchemaValidator used to validate instances of the model. pydantic_fields: A dictionary of field names and their corresponding [FieldInfo][pydantic.fields.FieldInfo] objects. pydantic_computed_fields: A dictionary of computed field names and their corresponding [ComputedFieldInfo][pydantic.fields.ComputedFieldInfo] objects. pydantic_extra: A dictionary containing extra values, if [extra][pydantic.config.ConfigDict.extra] is set to 'allow'. pydantic_fields_set: The names of fields explicitly set during instantiation. pydantic_private: Values of private attributes set on the model instance. Create a new model by parsing and validating input data from keyword arguments. Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model. self is explicitly positional-only to allow self as a field name.

ModelRegistryEnum

Available model registries for model storage and retrieval.

Values

HUGGINGFACE
str
HuggingFace model registry for accessing publicly available models.
MLM
str
MLM (Machine Learning Model) registry for internal model storage.

MosaicOutput

MosaicOutput(**data: Any)
Output reference for RasterFlow workflow artifacts. Attributes

MosaicToMosaicActorEnum

Values

REGRESSION_PYTORCH
enum
SEMANTIC_SEGMENTATION_CHANGE_DETECTION_PYTORCH
enum
SEMANTIC_SEGMENTATION_PYTORCH
enum
TEMPORAL_MASKED_INPUTS_EMBEDDING_ACTOR
enum

ResamplingMethod

Values

AVERAGE
enum
BILINEAR
enum
CUBIC
enum
CUBIC_SPLINE
enum
GAUSS
enum
LANCZOS
enum
NEAREST
enum
RMS
enum

RuntimeEnum

Shared public runtime size names.

Values

LARGE
enum
MEDIUM
enum
SMALL
enum
XLARGE
enum

SemSegRasterioConfig

SemSegRasterioConfig(**data: Any)
!!! abstract “Usage Documentation” Models A base class for creating Pydantic models. Attributes: class_vars: The names of the class variables defined on the model. private_attributes: Metadata about the private attributes of the model. signature: The synthesized __init__ [Signature][inspect.Signature] of the model. pydantic_complete: Whether model building is completed, or if there are still undefined fields. pydantic_core_schema: The core schema of the model. pydantic_custom_init: Whether the model has a custom __init__ function. pydantic_decorators: Metadata containing the decorators defined on the model. This replaces Model.__validators__ and Model.__root_validators__ from Pydantic V1. pydantic_generic_metadata: Metadata for generic models; contains data used for a similar purpose to args, origin, parameters in typing-module generics. May eventually be replaced by these. pydantic_parent_namespace: Parent namespace of the model, used for automatic rebuilding of models. pydantic_post_init: The name of the post-init method for the model, if defined. pydantic_root_model: Whether the model is a [RootModel][pydantic.root_model.RootModel]. pydantic_serializer: The pydantic-core SchemaSerializer used to dump instances of the model. pydantic_validator: The pydantic-core SchemaValidator used to validate instances of the model. pydantic_fields: A dictionary of field names and their corresponding [FieldInfo][pydantic.fields.FieldInfo] objects. pydantic_computed_fields: A dictionary of computed field names and their corresponding [ComputedFieldInfo][pydantic.fields.ComputedFieldInfo] objects. pydantic_extra: A dictionary containing extra values, if [extra][pydantic.config.ConfigDict.extra] is set to 'allow'. pydantic_fields_set: The names of fields explicitly set during instantiation. pydantic_private: Values of private attributes set on the model instance. Create a new model by parsing and validating input data from keyword arguments. Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model. self is explicitly positional-only to allow self as a field name.

TemporalScoreMethodEnum

Enum where members are also (and must be) strings

Values

DIFFERENCE
enum
LOO_MEAN
enum
LOO_MEDOID
enum

UriOutput

UriOutput(**data: Any)
Base output reference carrying a URI to a workflow artifact. Attributes

Attributes

map_url: str | None
any
URL to view this artifact in the Wherobots Cloud map viewer.

VectorizeMethodEnum

Values

SEMANTIC_SEGMENTATION_RASTERIO
enum

VectorizeOutput

VectorizeOutput(**data: Any)
Output reference for vectorization workflows. Attributes