Uses of Class
org.bytedeco.depthai.Node.Input

Packages that use Node.Input

Package	Description
org.bytedeco.depthai

Uses of Node.Input in org.bytedeco.depthai

Methods in org.bytedeco.depthai that return Node.Input

Modifier and Type	Method and Description
Node.Input	Node.getInputs() Retrieves all nodes inputs
Node.Input	DetectionNetwork.input() Input message with data to be infered upon Default queue is blocking with size 5
Node.Input	XLinkOut.input() Input for any type of messages to be transfered over XLink stream Default queue is blocking with size 8
Node.Input	SpatialDetectionNetwork.input() Input message with data to be infered upon Default queue is blocking with size 5
Node.Input	NeuralNetwork.input() Input message with data to be infered upon Default queue is blocking with size 5
Node.Input	SPIOut.input() Input for any type of messages to be transfered over SPI stream Default queue is blocking with size 8
Node.Input	VideoEncoder.input() Input for NV12 ImgFrame to be encoded Default queue is blocking with size set by 'setNumFramesPool' (4).
Node.Input	StereoDepth.inputConfig() Input StereoDepthConfig message with ability to modify parameters in runtime.
Node.Input	ImageManip.inputConfig() Input ImageManipConfig message with ability to modify parameters in runtime Default queue is blocking with size 8
Node.Input	ColorCamera.inputConfig() Input for ImageManipConfig message, which can modify crop paremeters in runtime Default queue is non-blocking with size 8
Node.Input	SpatialLocationCalculator.inputConfig() Input SpatialLocationCalculatorConfig message with ability to modify parameters in runtime.
Node.Input	MonoCamera.inputControl() Input for CameraControl message, which can modify camera parameters in runtime Default queue is blocking with size 8
Node.Input	ColorCamera.inputControl() Input for CameraControl message, which can modify camera parameters in runtime Default queue is blocking with size 8
Node.Input	SpatialDetectionNetwork.inputDepth() Input message with depth data used to retrieve spatial information about detected object Default queue is non-blocking with size 4
Node.Input	SpatialLocationCalculator.inputDepth() Input message with depth data used to retrieve spatial information about detected object.
Node.Input	ObjectTracker.inputDetectionFrame() Input ImgFrame message on which object detection was performed.
Node.Input	ObjectTracker.inputDetections() Input message with image detection from neural network.
Node.Input	ImageManip.inputImage() Input image to be modified Default queue is blocking with size 8
Node.Input	ObjectTracker.inputTrackerFrame() Input ImgFrame message on which tracking will be performed.
Node.Input	StereoDepth.left() Input for left ImgFrame of left-right pair Default queue is non-blocking with size 8
Node.Input	StereoDepth.right() Input for right ImgFrame of left-right pair Default queue is non-blocking with size 8

Methods in org.bytedeco.depthai with parameters of type Node.Input

Modifier and Type	Method and Description
boolean	Node.Output.canConnect(Node.Input in) Check if connection is possible
boolean	Node.Output.isSamePipeline(Node.Input in)
void	Node.Output.link(Node.Input in) Link current output to input.
void	Pipeline.link(Node.Output out, Node.Input in) Link output to an input.
void	Node.Output.unlink(Node.Input in) Unlink a previously linked connection Throws an error if not linked.
void	Pipeline.unlink(Node.Output out, Node.Input in) Unlink output from an input.

Constructors in org.bytedeco.depthai with parameters of type Node.Input

Constructor and Description
Connection(Node.Output out, Node.Input in)