MobileNetDetectionNetwork

MobileNet detection network node is very similar to NeuralNetwork (in fact it extends it). The only difference is that this node is specifically for the MobileNet NN and it decodes the result of the NN on device. This means that out of this node is not a byte array but a ImgDetections that can easily be used in your code.

How to place it

Python

C++

pipeline = dai.Pipeline()
mobilenetDet = pipeline.create(dai.node.MobileNetDetectionNetwork)

dai::Pipeline pipeline;
auto mobilenetDet = pipeline.create<dai::node::MobileNetDetectionNetwork>();

Inputs and Outputs

            ┌───────────────────┐
            │                   │       out
            │                   ├───────────►
            │     MobileNet     │
            │     Detection     │
input       │     Network       │ passthrough
───────────►│-------------------├───────────►
            │                   │
            └───────────────────┘

Message types

Usage

Python

C++

pipeline = dai.Pipeline()
mobilenetDet = pipeline.create(dai.node.MobileNetDetectionNetwork)

mobilenetDet.setConfidenceThreshold(0.5)
mobilenetDet.setBlobPath(nnBlobPath)
mobilenetDet.setNumInferenceThreads(2)
mobilenetDet.input.setBlocking(False)

dai::Pipeline pipeline;
auto mobilenetDet = pipeline.create<dai::node::MobileNetDetectionNetwork>();

mobilenetDet->setConfidenceThreshold(0.5f);
mobilenetDet->setBlobPath(nnBlobPath);
mobilenetDet->setNumInferenceThreads(2);
mobilenetDet->input.setBlocking(false);

Reference

Python

C++

class depthai.node.MobileNetDetectionNetwork
class Id

Node identificator. Unique for every node on a single Pipeline

getAssetManager(*args, **kwargs)

Overloaded function.

  1. getAssetManager(self: depthai.Node) -> depthai.AssetManager

  2. getAssetManager(self: depthai.Node) -> depthai.AssetManager

getConfidenceThreshold(self: depthai.node.DetectionNetwork) → float
getInputRefs(*args, **kwargs)

Overloaded function.

  1. getInputRefs(self: depthai.Node) -> list[depthai.Node.Input]

  2. getInputRefs(self: depthai.Node) -> list[depthai.Node.Input]

getInputs(self: depthai.Node) → list[depthai.Node.Input]
getName(self: depthai.Node) → str
getNumInferenceThreads(self: depthai.node.NeuralNetwork) → int
getOutputRefs(*args, **kwargs)

Overloaded function.

  1. getOutputRefs(self: depthai.Node) -> list[depthai.Node.Output]

  2. getOutputRefs(self: depthai.Node) -> list[depthai.Node.Output]

getOutputs(self: depthai.Node) → list[depthai.Node.Output]
getParentPipeline(*args, **kwargs)

Overloaded function.

  1. getParentPipeline(self: depthai.Node) -> depthai.Pipeline

  2. getParentPipeline(self: depthai.Node) -> depthai.Pipeline

setBlob(*args, **kwargs)

Overloaded function.

  1. setBlob(self: depthai.node.NeuralNetwork, blob: depthai.OpenVINO.Blob) -> None

  2. setBlob(self: depthai.node.NeuralNetwork, path: Path) -> None

setBlobPath(self: depthai.node.NeuralNetwork, path: Path) → None
setConfidenceThreshold(self: depthai.node.DetectionNetwork, thresh: float) → None
setNumInferenceThreads(self: depthai.node.NeuralNetwork, numThreads: int) → None
setNumNCEPerInferenceThread(self: depthai.node.NeuralNetwork, numNCEPerThread: int) → None
setNumPoolFrames(self: depthai.node.NeuralNetwork, numFrames: int) → None
class dai::node::MobileNetDetectionNetwork : public dai::NodeCRTP<DetectionNetwork, MobileNetDetectionNetwork, DetectionNetworkProperties>

MobileNetDetectionNetwork node. Parses MobileNet results.

Public Functions

MobileNetDetectionNetwork(const std::shared_ptr<PipelineImpl> &par, int64_t nodeId)
MobileNetDetectionNetwork(const std::shared_ptr<PipelineImpl> &par, int64_t nodeId, std::unique_ptr<Properties> props)

Got questions?

Head over to Discussion Forum for technical support or any other questions you might have.