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[Do not merge] Create od annotation for test #11

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[Do not merge] Create od annotation for test #11

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8 changes: 4 additions & 4 deletions plugins/sam3_segmentation/src/lightly_plugins_sam3_segmentation/operator.py
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Original file line number Diff line number Diff line change
Expand Up @@ -41,7 +41,7 @@
_DEFAULT_MODEL_ID = "facebook/sam3"
_SEGMENTATION_ANNOTATION_TYPE: AnnotationType = cast(
AnnotationType,
getattr(AnnotationType, "SEGMENTATION_MASK", None)
getattr(AnnotationType, "OBJECT_DETECTION", None)
or getattr(AnnotationType, "INSTANCE_SEGMENTATION"),
)

Expand All @@ -64,7 +64,7 @@ def _get_or_create_label(session: Session, dataset_id: UUID, label_name: str) ->
class SAM3SegmentationOperator(BaseOperator):
"""Instance segmentation using SAM3 driven by a text prompt."""

name: str = "SAM3 Segmentation"
name: str = "SAM3 - OD"
description: str = (
"Automatic instance segmentation using SAM3 (facebook/sam3). "
"Requires HuggingFace access — authenticate with `hf auth login` first."
Expand Down Expand Up @@ -141,6 +141,7 @@ def execute(
context: ExecutionContext,
parameters: dict[str, Any],
) -> OperatorResult:
print("Executing SAM3SegmentationOperator with parameters:", parameters)
model_id: str = parameters.get("model_id", _DEFAULT_MODEL_ID)
prompt_value = parameters.get("prompt")
if prompt_value is None:
Expand Down Expand Up @@ -239,14 +240,13 @@ def execute(
annotation_creates.append(
AnnotationCreate(
annotation_label_id=label_id,
annotation_type=_SEGMENTATION_ANNOTATION_TYPE,
annotation_type=AnnotationType.OBJECT_DETECTION,
parent_sample_id=sample.sample_id,
confidence=entry["score"],
x=x,
y=y,
width=w,
height=h,
segmentation_mask=entry["rle"],
)
)

Expand Down
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