org.bytedeco.depthai

Class DetectionNetwork

java.lang.Object

org.bytedeco.javacpp.Pointer

org.bytedeco.depthai.Node

org.bytedeco.depthai.NeuralNetwork

org.bytedeco.depthai.DetectionNetwork

All Implemented Interfaces:

AutoCloseable

Direct Known Subclasses:

MobileNetDetectionNetwork, SpatialDetectionNetwork, YoloDetectionNetwork

@Namespace(value="dai::node")
 @NoOffset
 @Properties(inherit=depthai.class)
public class DetectionNetwork
extends NeuralNetwork

\brief DetectionNetwork, base for different network specializations

Nested Class Summary

Nested classes/interfaces inherited from class org.bytedeco.depthai.Node

Node.Connection, Node.DatatypeHierarchy, Node.Input, Node.Output

Nested classes/interfaces inherited from class org.bytedeco.javacpp.Pointer

Pointer.CustomDeallocator, Pointer.Deallocator, Pointer.NativeDeallocator, Pointer.ReferenceCounter

Field Summary

Fields inherited from class org.bytedeco.javacpp.Pointer

address, capacity, limit, position

Constructor Summary

Constructors

Constructor and Description
DetectionNetwork(Pointer p) Pointer cast constructor.

Method Summary

Modifier and Type	Method and Description
BytePointer	getName() Retrieves nodes name
Node.Input	input() Input message with data to be infered upon Default queue is blocking with size 5
Node.Output	out() Outputs ImgDetections message that carries parsed detection results.
Node.Output	passthrough() Passthrough message on which the inference was performed.
void	setConfidenceThreshold(float thresh) Specifies confidence threshold at which to filter the rest of the detections.

Methods inherited from class org.bytedeco.depthai.NeuralNetwork

getNumInferenceThreads, setBlobPath, setBlobPath, setNumInferenceThreads, setNumNCEPerInferenceThread, setNumPoolFrames

Methods inherited from class org.bytedeco.depthai.Node

assetManager, clone, getAssets, getInputRefs, getInputs, getOutputRefs, getOutputs, getParentPipeline, getProperties, getRequiredOpenVINOVersion, id, inputs, outputs

Methods inherited from class org.bytedeco.javacpp.Pointer

address, asBuffer, asByteBuffer, availablePhysicalBytes, calloc, capacity, capacity, close, deallocate, deallocate, deallocateReferences, deallocator, deallocator, equals, fill, formatBytes, free, getPointer, getPointer, getPointer, getPointer, hashCode, isNull, isNull, limit, limit, malloc, maxBytes, maxPhysicalBytes, memchr, memcmp, memcpy, memmove, memset, offsetAddress, offsetof, offsetof, parseBytes, physicalBytes, position, position, put, realloc, referenceCount, releaseReference, retainReference, setNull, sizeof, sizeof, toString, totalBytes, totalCount, totalPhysicalBytes, withDeallocator, zero

Methods inherited from class java.lang.Object

finalize, getClass, notify, notifyAll, wait, wait, wait

Constructor Detail

DetectionNetwork

public DetectionNetwork(Pointer p)

Pointer cast constructor. Invokes Pointer(Pointer).

Method Detail

getName

@StdString
public BytePointer getName()

Description copied from class: Node

Retrieves nodes name

Overrides:

getName in class NeuralNetwork

input

@MemberGetter
 @ByRef
public Node.Input input()

Input message with data to be infered upon Default queue is blocking with size 5

Overrides:

input in class NeuralNetwork

out

@MemberGetter
 @ByRef
public Node.Output out()

Outputs ImgDetections message that carries parsed detection results.

Overrides:

out in class NeuralNetwork

passthrough

@MemberGetter
 @ByRef
public Node.Output passthrough()

Passthrough message on which the inference was performed. Suitable for when input queue is set to non-blocking behavior.

Overrides:

passthrough in class NeuralNetwork

setConfidenceThreshold

public void setConfidenceThreshold(float thresh)

Specifies confidence threshold at which to filter the rest of the detections.

Parameters:

thresh - Detection confidence must be greater than specified threshold to be added to the list