SemanticSegmentationLabelSourceConfig#
Note
All Configs are derived from rastervision.pipeline.config.Config
, which itself is a pydantic Model.
- pydantic model SemanticSegmentationLabelSourceConfig[source]#
Configure a
SemanticSegmentationLabelSource
.Show JSON schema
{ "title": "SemanticSegmentationLabelSourceConfig", "description": "Configure a :class:`.SemanticSegmentationLabelSource`.", "type": "object", "properties": { "type_hint": { "const": "semantic_segmentation_label_source", "default": "semantic_segmentation_label_source", "enum": [ "semantic_segmentation_label_source" ], "title": "Type Hint", "type": "string" }, "raster_source": { "anyOf": [ { "$ref": "#/$defs/RasterSourceConfig" }, { "$ref": "#/$defs/RasterizedSourceConfig" } ], "description": "The labels in the form of rasters.", "title": "Raster Source" } }, "$defs": { "RasterSourceConfig": { "additionalProperties": false, "description": "Configure a :class:`.RasterSource`.", "properties": { "channel_order": { "anyOf": [ { "items": { "type": "integer" }, "type": "array" }, { "type": "null" } ], "default": null, "description": "The sequence of channel indices to use when reading imagery.", "title": "Channel Order" }, "transformers": { "default": [], "items": { "$ref": "#/$defs/RasterTransformerConfig" }, "title": "Transformers", "type": "array" }, "bbox": { "anyOf": [ { "maxItems": 4, "minItems": 4, "prefixItems": [ { "type": "integer" }, { "type": "integer" }, { "type": "integer" }, { "type": "integer" } ], "type": "array" }, { "type": "null" } ], "default": null, "description": "User-specified bbox in pixel coords in the form (ymin, xmin, ymax, xmax). Useful for cropping the raster source so that only part of the raster is read from.", "title": "Bbox" }, "type_hint": { "const": "raster_source", "default": "raster_source", "enum": [ "raster_source" ], "title": "Type Hint", "type": "string" } }, "title": "RasterSourceConfig", "type": "object" }, "RasterTransformerConfig": { "additionalProperties": false, "description": "Configure a :class:`.RasterTransformer`.", "properties": { "type_hint": { "const": "raster_transformer", "default": "raster_transformer", "enum": [ "raster_transformer" ], "title": "Type Hint", "type": "string" } }, "title": "RasterTransformerConfig", "type": "object" }, "RasterizedSourceConfig": { "additionalProperties": false, "description": "Configure a :class:`.RasterizedSource`.", "properties": { "vector_source": { "$ref": "#/$defs/VectorSourceConfig" }, "rasterizer_config": { "$ref": "#/$defs/RasterizerConfig" }, "type_hint": { "const": "rasterized_source", "default": "rasterized_source", "enum": [ "rasterized_source" ], "title": "Type Hint", "type": "string" } }, "required": [ "vector_source", "rasterizer_config" ], "title": "RasterizedSourceConfig", "type": "object" }, "RasterizerConfig": { "additionalProperties": false, "description": "Configure rasterization params for a :class:`.RasterizedSource`.", "properties": { "background_class_id": { "description": "The class_id to use for any background pixels, i.e. pixels not covered by a polygon.", "title": "Background Class Id", "type": "integer" }, "all_touched": { "default": false, "description": "If True, all pixels touched by geometries will be burned in. If false, only pixels whose center is within the polygon or that are selected by Bresenham's line algorithm will be burned in. (See rasterio.features.rasterize for more details).", "title": "All Touched", "type": "boolean" }, "type_hint": { "const": "rasterizer", "default": "rasterizer", "enum": [ "rasterizer" ], "title": "Type Hint", "type": "string" } }, "required": [ "background_class_id" ], "title": "RasterizerConfig", "type": "object" }, "VectorSourceConfig": { "additionalProperties": false, "description": "Configure a :class:`.VectorSource`.", "properties": { "transformers": { "default": [], "description": "List of VectorTransformers.", "items": { "$ref": "#/$defs/VectorTransformerConfig" }, "title": "Transformers", "type": "array" }, "type_hint": { "const": "vector_source", "default": "vector_source", "enum": [ "vector_source" ], "title": "Type Hint", "type": "string" } }, "title": "VectorSourceConfig", "type": "object" }, "VectorTransformerConfig": { "additionalProperties": false, "description": "Configure a :class:`.VectorTransformer`.", "properties": { "type_hint": { "const": "vector_transformer", "default": "vector_transformer", "enum": [ "vector_transformer" ], "title": "Type Hint", "type": "string" } }, "title": "VectorTransformerConfig", "type": "object" } }, "additionalProperties": false, "required": [ "raster_source" ] }
- Config:
extra: str = forbid
validate_assignment: bool = True
- Fields:
- field raster_source: RasterSourceConfig | RasterizedSourceConfig [Required]#
The labels in the form of rasters.
- field type_hint: Literal['semantic_segmentation_label_source'] = 'semantic_segmentation_label_source'#
- build(class_config, crs_transformer, bbox=None, tmp_dir=None) SemanticSegmentationLabelSource [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.
- Return type:
- classmethod deserialize(inp: str | dict | Config) Self #
Deserialize Config from a JSON file or dict, upgrading if possible.
If
inp
is already aConfig
, it is returned as is.
- classmethod from_dict(cfg_dict: dict) Self #
Deserialize Config from a dict.
- Parameters:
cfg_dict (dict) – Dict to deserialize.
- Return type:
Self
- classmethod from_file(uri: str) Self #
Deserialize Config from a JSON file, upgrading if possible.
- Parameters:
uri (str) – URI to load from.
- Return type:
Self
- 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().
- to_file(uri: str, with_rv_metadata: bool = True) None #
Save a Config to a JSON file, optionally with RV metadata.
- update(pipeline: RVPipelineConfig | None = None, scene: SceneConfig | None = None) None #
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.
- Parameters:
pipeline (RVPipelineConfig | None) –
scene (SceneConfig | None) –
- Return type:
None
- 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.