ObjectDetectionGeoJSONStoreConfig#
Note
All Configs are derived from rastervision.pipeline.config.Config
, which itself is a pydantic Model.
- pydantic model ObjectDetectionGeoJSONStoreConfig[source]#
Configure an
ObjectDetectionGeoJSONStore
.Show JSON schema
{ "title": "ObjectDetectionGeoJSONStoreConfig", "description": "Configure an :class:`.ObjectDetectionGeoJSONStore`.", "type": "object", "properties": { "type_hint": { "title": "Type Hint", "default": "object_detection_geojson_store", "enum": [ "object_detection_geojson_store" ], "type": "string" }, "uri": { "title": "Uri", "description": "URI of GeoJSON file with predictions. If None, and this Config is part of a SceneConfig inside an RVPipelineConfig, it will be auto-generated.", "type": "string" } }, "additionalProperties": false }
- Config
extra: str = forbid
validate_assignment: bool = True
- Fields
- field uri: Optional[str] = None#
URI of GeoJSON file with predictions. If None, and this Config is part of a SceneConfig inside an RVPipelineConfig, it will be auto-generated.
- build(class_config, crs_transformer, bbox=None, tmp_dir=None)[source]#
Build an instance of the corresponding type of object using this config.
For example, BackendConfig will build a Backend object. The arguments to this method will vary depending on the type of Config.
- recursive_validate_config()#
Recursively validate hierarchies of Configs.
This uses reflection to call validate_config on a hierarchy of Configs using a depth-first pre-order traversal.
- revalidate()#
Re-validate an instantiated Config.
Runs all Pydantic validators plus self.validate_config().
Adapted from: https://github.com/samuelcolvin/pydantic/issues/1864#issuecomment-679044432
- update(pipeline=None, scene=None)[source]#
Update any fields before validation.
Subclasses should override this to provide complex default behavior, for example, setting default values as a function of the values of other fields. The arguments to this method will vary depending on the type of Config.
- validate_config()#
Validate fields that should be checked after update is called.
This is to complement the builtin validation that Pydantic performs at the time of object construction.