Source code for rastervision.core.data.label_store.object_detection_geojson_store

from typing import TYPE_CHECKING

from rastervision.core.data.label import ObjectDetectionLabels
from rastervision.core.data.label_store import LabelStore
from rastervision.core.data.label_store.utils import boxes_to_geojson
from rastervision.core.data.vector_source import GeoJSONVectorSourceConfig
from rastervision.pipeline.file_system import json_to_file

if TYPE_CHECKING:
    from rastervision.core.data import ClassConfig, CRSTransformer


[docs]class ObjectDetectionGeoJSONStore(LabelStore): """Storage for object detection predictions."""
[docs] def __init__(self, uri: str, class_config: 'ClassConfig', crs_transformer: 'CRSTransformer'): """Constructor. Args: uri: uri of GeoJSON file containing labels class_config: ClassConfig used to infer class_ids from class_name (or label) field crs_transformer: CRSTransformer to convert from map coords in label in GeoJSON file to pixel coords. """ self.uri = uri self.crs_transformer = crs_transformer self.class_config = class_config
[docs] def save(self, labels: ObjectDetectionLabels) -> None: """Save labels to URI.""" boxes = labels.get_boxes() class_ids = [int(id) for id in labels.get_class_ids()] scores = labels.get_scores() geojson = boxes_to_geojson( boxes, class_ids, self.crs_transformer, self.class_config, scores=scores) json_to_file(geojson, self.uri)
[docs] def get_labels(self) -> ObjectDetectionLabels: vector_source = GeoJSONVectorSourceConfig(uri=self.uri).build( self.class_config, self.crs_transformer) return ObjectDetectionLabels.from_geojson(vector_source.get_geojson())
[docs] def empty_labels(self) -> ObjectDetectionLabels: return ObjectDetectionLabels.make_empty()