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Export segment info attributes in coco panoptic #2000

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Merged
AlbertvanHouten merged 2 commits into from
Jan 7, 2026
+36 −1
Merged

Export segment info attributes in coco panoptic #2000

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862f5f7
Export attributes
evanbro Jan 5, 2026
f47ae9b
Add a test
evanbro Jan 6, 2026
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3 changes: 2 additions & 1 deletion src/datumaro/plugins/data_formats/coco/base.py
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Original file line number Diff line number Diff line change
Expand Up @@ -392,7 +392,8 @@ def _load_panoptic_ann(self, ann, parsed_annotations=None):
for segm_info in self._parse_field(ann, "segments_info", list):
cat_id = self._get_label_id(segm_info)
segm_id = self._parse_field(segm_info, "id", int)
attributes = {"is_crowd": bool(self._parse_field(segm_info, "iscrowd", int))}
attributes = segm_info.get("attributes", {})
attributes["is_crowd"] = bool(self._parse_field(segm_info, "iscrowd", int))
parsed_annotations.append(
Mask(
image=mask.lazy_extract(segm_id),
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4 changes: 4 additions & 0 deletions src/datumaro/plugins/data_formats/coco/exporter.py
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Expand Up @@ -649,6 +649,10 @@ def save_annotations(self, item):
segment_info["area"] = float(ann.get_area())
segment_info["bbox"] = [float(p) for p in ann.get_bbox()]
segment_info["iscrowd"] = cast(ann.attributes.get("is_crowd"), int, 0)
if self._context._allow_attributes:
attrs = self._convert_attributes(ann)
if attrs:
segment_info["attributes"] = attrs
segments_info.append(segment_info)
masks.append(ann)

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30 changes: 30 additions & 0 deletions tests/unit/test_coco_format.py
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Expand Up @@ -1639,6 +1639,36 @@ def test_can_save_and_load_panoptic(self, test_dir, stream: bool):
stream=stream,
)

def test_can_save_and_load_panoptic_with_attributes(self, test_dir, stream: bool):
dataset = Dataset.from_iterable(
[
DatasetItem(
id=1,
subset="train",
media=Image.from_numpy(data=np.ones((4, 4, 3))),
annotations=[
Mask(
image=np.array([[0, 1, 0, 0], [0, 1, 0, 0], [0, 1, 1, 1], [0, 0, 0, 0]]),
attributes={"is_crowd": False, "x": 5, "y": "abc"},
label=4,
group=3,
id=3,
),
],
attributes={"id": 1},
),
],
categories=[str(i) for i in range(10)],
)

self._test_save_and_load(
dataset,
partial(CocoPanopticExporter.convert, save_media=True),
test_dir,
require_media=True,
stream=stream,
)

def test_can_save_and_load_stuff(self, test_dir, stream: bool):
source_dataset = Dataset.from_iterable(
[
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