Source code for rastervision.core.data.label_store.utils
from typing import TYPE_CHECKING, Optional, Sequence, Union
from rastervision.core.data.utils.geojson import geoms_to_geojson
if TYPE_CHECKING:
from rastervision.core.box import Box
from rastervision.core.data import ClassConfig, CRSTransformer
[docs]def boxes_to_geojson(
boxes: Sequence['Box'],
class_ids: Sequence[int],
crs_transformer: 'CRSTransformer',
class_config: 'ClassConfig',
scores: Optional[Sequence[Union[float, Sequence[float]]]] = None
) -> dict:
"""Convert boxes and associated data into a GeoJSON dict.
Args:
boxes (Sequence[Box]): List of Box in pixel row/col format.
class_ids (Sequence[int]): List of int (one for each box)
crs_transformer (CRSTransformer): CRSTransformer used to convert pixel
coords to map coords in the GeoJSON.
class_config (ClassConfig): ClassConfig
scores (Optional[Sequence[Union[float, Sequence[float]]]], optional):
Optional list of score or scores. If floats (one for each box),
property name will be "score". If lists of floats, property name
will be "scores". Defaults to None.
Returns:
dict: Serialized GeoJSON.
"""
if len(boxes) != len(class_ids):
raise ValueError(f'len(boxes) ({len(boxes)}) != '
f'len(class_ids) ({len(class_ids)})')
if scores is not None and len(boxes) != len(scores):
raise ValueError(f'len(boxes) ({len(boxes)}) != '
f'len(scores) ({len(scores)})')
geoms = [crs_transformer.pixel_to_map(box.to_shapely()) for box in boxes]
properties = [
dict(class_id=id, class_name=class_config.get_name(id))
for id in class_ids
]
if scores is not None:
for prop, box_score in zip(properties, scores):
key = 'score' if isinstance(box_score, float) else 'scores'
prop[key] = box_score
geojson = geoms_to_geojson(geoms, properties)
return geojson