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ON THIS PAGE

  • Pipeline
  • Pipeline first steps
  • Specifying OpenVINO version
  • Using multiple devices
  • How to place it
  • Reference

Pipeline

Pipeline is a collection of Nodes and links between them. This flow provides an extensive flexibility that users get for their OAK device. When pipeline object is passed to the Device object, pipeline gets serialized to JSON and sent to the OAK device via XLink.

Pipeline first steps

To get DepthAI up and running, you have to create a pipeline, populate it with nodes, configure the nodes and link them together. After that, the pipeline can be loaded onto the Device and be started.
Python
1pipeline = depthai.pipeline()
2
3# If required, specify OpenVINO version
4pipeline.setOpenVINOVersion(depthai.OpenVINO.Version.VERSION_2021_4)
5
6# Create nodes, configure them and link them together
7
8# Upload the pipeline to the device
9with depthai.Device(pipeline) as device:
10  # Set input/output queues to configure device/host communication through the XLink...

Specifying OpenVINO version

When using a NN blob that was not compiled with the latest OpenVINO (that DepthAI supports), you have to specify the OpenVINO version of the pipeline. The reason behind this is that OpenVINO doesn't provide version inside the blob.
Python
1pipeline = depthai.pipeline()
2# Set the correct version:
3pipeline.setOpenVINOVersion(depthai.OpenVINO.Version.VERSION_2021_4)

Using multiple devices

If user has multiple Luxonis' devices, each device can run a different pipeline or the same pipeline (demo here). To use different pipeline for each device, you can create multiple pipelines and pass the desired pipeline to the desired device on initialization. See Multi-device Setup for more information.

How to place it

Python
C++

Python

Python
1pipeline = dai.Pipeline()

Reference

class

depthai.Pipeline

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__init__(self)
Constructs a new pipeline
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getCalibrationData(self) -> CalibrationHandler: CalibrationHandler
gets the calibration data which is set through pipeline  Returns:     the calibrationHandler with calib data in the pipeline
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getDeviceConfig(self) -> Device.Config: Device.Config
Get device configuration needed for this pipeline
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getGlobalProperties(self) -> GlobalProperties: GlobalProperties
Returns:     Global properties of current pipeline
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getNodeMap(self) -> dict[int, Node]: dict[int, Node]
Get a reference to internal node map
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getOpenVINOVersion(self) -> OpenVINO.Version: OpenVINO.Version
Get possible OpenVINO version to run this pipeline
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getRequiredOpenVINOVersion(self) -> OpenVINO.Version|None: OpenVINO.Version|None
Get required OpenVINO version to run this pipeline. Can be none
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remove(self, node: Node)
Removes a node from pipeline
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serializeToJson(self) -> json: json
Returns whole pipeline represented as JSON
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setCalibrationData(self, calibrationDataHandler: CalibrationHandler)
Sets the calibration in pipeline which overrides the calibration data in eeprom  Parameter ``calibrationDataHandler``:     CalibrationHandler object which is loaded with calibration information.
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setCameraTuningBlobPath(self, path: Path)
Set a camera IQ (Image Quality) tuning blob, used for all cameras
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setOpenVINOVersion(self, version: OpenVINO.Version)
Set a specific OpenVINO version to use with this pipeline
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setSippBufferSize(self, sizeBytes: int)
SIPP (Signal Image Processing Pipeline) internal memory pool. SIPP is a framework used to schedule HW filters, e.g. ISP, Warp, Median filter etc. Changing the size of this pool is meant for advanced use cases, pushing the limits of the HW. By default memory is allocated in high speed CMX memory. Setting to 0 will allocate in DDR 256 kilobytes. Units are bytes.
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setSippDmaBufferSize(self, sizeBytes: int)
SIPP (Signal Image Processing Pipeline) internal DMA memory pool. SIPP is a framework used to schedule HW filters, e.g. ISP, Warp, Median filter etc. Changing the size of this pool is meant for advanced use cases, pushing the limits of the HW. Memory is allocated in high speed CMX memory Units are bytes.
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setXLinkChunkSize(self, sizeBytes: int)
Set chunk size for splitting device-sent XLink packets, in bytes. A larger value could increase performance, with 0 disabling chunking. A negative value won't modify the device defaults - configured per protocol, currently 64*1024 for both USB and Ethernet.
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