DL_SegmentInstances

Executes a Segment Instances model on a single input image.

Syntax

void avl::DL_SegmentInstances
(
const avl::Image& inImage,
atl::Optional<const avl::Region&> inRoi,
const avl::SegmentInstancesModelId& inModelId,
const atl::Optional<float>& inMinDetectionScore,
const atl::Optional<int>& inMaxObjectsCount,
atl::Array<avl::Box>& outBoundingBoxes,
atl::Array<int>& outClassIds,
atl::Array<atl::String>& outClassNames,
atl::Array<float>& outScores,
)


Parameters

Name Type Range Default Description
inImage const Image& Input image
inRoi Optional<const Region&> NIL Limits the area where objects may be located
inModelId const SegmentInstancesModelId& Segment Instances model stored in a specific disk directory
inMinDetectionScore const Optional<float>& 0.0 - 1.0 NIL Sets a minimum required score for an object to be returned. If not set, a value determined during the training is used
inMaxObjectsCount const Optional<int>& 1 - NIL Limits maximum number of returned objects. If not set, a value determined during the training is used
outBoundingBoxes Array<Box>& Returns bounding boxes of the found objects
outClassIds Array<int>& Returns ids of the found object classes
outClassNames Array<String>& Returns names of the found objects classes
outScores Array<float>& Returns scores of the found objects

Requirements

For input inImage only pixel formats are supported: 1⨯uint8, 3⨯uint8.

Hints

• It is recommended that the deep learning model is deployed with DL_SegmentInstances_Deploy first and connected through the inModelId input.
• If one decides not to use DL_SegmentInstances_Deploy, then the model will be loaded in the first iteration. It will take up to several seconds.

Remarks

This filter should not be executed along with running Deep Learning Service as it may result in degraded performance or even out-of-memory errors.

Errors

List of possible exceptions:

Error type Description
DomainError Not supported inImage pixel format in DL_SegmentInstances. Supported formats: 1xUInt8, 3xUInt8.