For sending metadata to the cloud, DeepStream uses Gst-nvmsgconv and Gst-nvmsgbroker plugin. NVIDIA introduced Python bindings to help you build high-performance AI applications using Python. Does Gst-nvinferserver support Triton multiple instance groups? This app is fully configurable - it allows users to configure any type and number of sources. What should I do if I want to set a self event to control the record? because recording might be started while the same session is actively recording for another source. That means smart record Start/Stop events are generated every 10 seconds through local events. How can I get more information on why the operation failed? smart-rec-start-time= GstBin which is the recordbin of NvDsSRContext must be added to the pipeline. The registry failed to perform an operation and reported an error message. Recording also can be triggered by JSON messages received from the cloud. There are several built-in reference trackers in the SDK, ranging from high performance to high accuracy. I started the record with a set duration. mp4, mkv), Troubleshooting in NvDCF Parameter Tuning, Frequent tracking ID changes although no nearby objects, Frequent tracking ID switches to the nearby objects, Error while running ONNX / Explicit batch dimension networks, DeepStream plugins failing to load without DISPLAY variable set when launching DS dockers, 1. This means, the recording cannot be started until we have an Iframe. To activate this functionality, populate and enable the following block in the application configuration file: While the application is running, use a Kafka broker to publish the above JSON messages on topics in the subscribe-topic-list to start and stop recording. From the pallet rack to workstation, #Rexroth&#39;s MP1000R mobile robot offers a smart, easy-to-implement material transport solution to help you boost Why do I see the below Error while processing H265 RTSP stream? When deepstream-app is run in loop on Jetson AGX Xavier using while true; do deepstream-app -c ; done;, after a few iterations I see low FPS for certain iterations. Why cant I paste a component after copied one? DeepStream pipelines can be constructed using Gst-Python, the GStreamer frameworks Python bindings. Why do I observe: A lot of buffers are being dropped. This is currently supported for Kafka. And once it happens, container builder may return errors again and again. These plugins use GPU or VIC (vision image compositor). smart-rec-interval= DeepStream applications can be created without coding using the Graph Composer. Any data that is needed during callback function can be passed as userData. Please make sure you understand how to migrate your DeepStream 5.1 custom models to DeepStream 6.0 before you start. Only the data feed with events of importance is recorded instead of always saving the whole feed. kafka_2.13-2.8.0/config/server.properties, configs/test5_dec_infer-resnet_tracker_sgie_tiled_display_int8.txt, #Type - 1=FakeSink 2=EglSink 3=File 4=UDPSink 5=nvoverlaysink 6=MsgConvBroker, #(0): PAYLOAD_DEEPSTREAM - Deepstream schema payload, #(1): PAYLOAD_DEEPSTREAM_MINIMAL - Deepstream schema payload minimal, #(257): PAYLOAD_CUSTOM - Custom schema payload, #msg-broker-config=../../deepstream-test4/cfg_kafka.txt, # do a dummy poll to retrieve some message, 'HWY_20_AND_LOCUST__EBA__4_11_2018_4_59_59_508_AM_UTC-07_00', 'Vehicle Detection and License Plate Recognition', "HWY_20_AND_LOCUST__EBA__4_11_2018_4_59_59_508_AM_UTC-07_00", test5_dec_infer-resnet_tracker_sgie_tiled_display_int8.txt, #Type - 1=CameraV4L2 2=URI 3=MultiURI 4=RTSP, # smart record specific fields, valid only for source type=4, # 0 = disable, 1 = through cloud events, 2 = through cloud + local events. June 29, 2022; medical bills on credit report hipaa violation letter; masajes con aceite de oliva para el cabello . . How can I determine whether X11 is running? My DeepStream performance is lower than expected. deepstream-test5 sample application will be used for demonstrating SVR. DeepStream is only a SDK which provide HW accelerated APIs for video inferencing, video decoding, video processing, etc. # seconds before the current time to start recording. What is the correct way to do this? Jetson devices) to follow the demonstration. How can I determine whether X11 is running? It returns the session id which later can be used in NvDsSRStop() to stop the corresponding recording. In smart record, encoded frames are cached to save on CPU memory. The property bufapi-version is missing from nvv4l2decoder, what to do? What is the approximate memory utilization for 1080p streams on dGPU? How can I verify that CUDA was installed correctly? The first frame in the cache may not be an Iframe, so, some frames from the cache are dropped to fulfil this condition. Bei Erweiterung erscheint eine Liste mit Suchoptionen, die die Sucheingaben so ndern, dass sie zur aktuellen Auswahl passen. Batching is done using the Gst-nvstreammux plugin. DeepStream - Smart Video Recording DeepStream - IoT Edge DeepStream - Demos DeepStream - Common Issues Transfer Learning Toolkit - Getting Started Transfer Learning Toolkit - Specification Files Transfer Learning Toolkit - StreetNet (TLT2) Transfer Learning Toolkit - CovidNet (TLT2) Transfer Learning Toolkit - Classification (TLT2) The message format is as follows: Receiving and processing such messages from the cloud is demonstrated in the deepstream-test5 sample application. Size of cache in seconds. Here startTime specifies the seconds before the current time and duration specifies the seconds after the start of recording. How does secondary GIE crop and resize objects? Search for jobs related to Freelancer projects vlsi embedded or hire on the world's largest freelancing marketplace with 22m+ jobs. How can I specify RTSP streaming of DeepStream output? Why does the deepstream-nvof-test application show the error message Device Does NOT support Optical Flow Functionality if run with NVIDIA Tesla P4 or NVIDIA Jetson Nano, Jetson TX2, or Jetson TX1? What happens if unsupported fields are added into each section of the YAML file? To get started, developers can use the provided reference applications. When running live camera streams even for few or single stream, also output looks jittery? How can I know which extensions synchronized to registry cache correspond to a specific repository? Can Gst-nvinferserver support inference on multiple GPUs? See the deepstream_source_bin.c for more details on using this module. How to handle operations not supported by Triton Inference Server? , awarded WBR. What is the recipe for creating my own Docker image? It takes the streaming data as input - from USB/CSI camera, video from file or streams over RTSP, and uses AI and computer vision to generate insights from pixels for better understanding of the environment. The params structure must be filled with initialization parameters required to create the instance. Does DeepStream Support 10 Bit Video streams? I started the record with a set duration. Are multiple parallel records on same source supported? smart-rec-cache= Do I need to add a callback function or something else? Before SVR is being triggered, configure [source0 ] and [message-consumer0] groups in DeepStream config (test5_dec_infer-resnet_tracker_sgie_tiled_display_int8.txt): Once the app config file is ready, run DeepStream: Finally, you are able to see recorded videos in your [smart-rec-dir-path] under [source0] group of the app config file. To activate this functionality, populate and enable the following block in the application configuration file: While the application is running, use a Kafka broker to publish the above JSON messages on topics in the subscribe-topic-list to start and stop recording. How can I display graphical output remotely over VNC? How do I obtain individual sources after batched inferencing/processing? What is the official DeepStream Docker image and where do I get it? How can I specify RTSP streaming of DeepStream output? Size of video cache in seconds. How to fix cannot allocate memory in static TLS block error? Why is a Gst-nvegltransform plugin required on a Jetson platform upstream from Gst-nveglglessink? World-class customer support and in-house procurement experts. Duration of recording. Why I cannot run WebSocket Streaming with Composer? For the output, users can select between rendering on screen, saving the output file, or streaming the video out over RTSP. What is batch-size differences for a single model in different config files (. What are different Memory transformations supported on Jetson and dGPU? smart-rec-video-cache= Today, Deepstream has become the silent force behind some of the world's largest banks, communication, and entertainment companies. #sensor-list-file=dstest5_msgconv_sample_config.txt, Install librdkafka (to enable Kafka protocol adaptor for message broker), Run deepstream-app (the reference application), Remove all previous DeepStream installations, Run the deepstream-app (the reference application), dGPU Setup for RedHat Enterprise Linux (RHEL), How to visualize the output if the display is not attached to the system, 1 . GstBin which is the recordbin of NvDsSRContext must be added to the pipeline. This function releases the resources previously allocated by NvDsSRCreate(). This means, the recording cannot be started until we have an Iframe. Does smart record module work with local video streams? # Use this option if message has sensor name as id instead of index (0,1,2 etc.). Currently, there is no support for overlapping smart record. However, when configuring smart-record for multiple sources the duration of the videos are no longer consistent (different duration for each video). Freelancer To enable smart record in deepstream-test5-app set the following under [sourceX] group: smart-record=<1/2> How to find the performance bottleneck in DeepStream? Why do some caffemodels fail to build after upgrading to DeepStream 5.1? The core function of DSL is to provide a simple and intuitive API for building, playing, and dynamically modifying NVIDIA DeepStream Pipelines. smart-rec-dir-path= For example, the record starts when theres an object being detected in the visual field. It comes pre-built with an inference plugin to do object detection cascaded by inference plugins to do image classification. What if I do not get expected 30 FPS from camera using v4l2src plugin in pipeline but instead get 15 FPS or less than 30 FPS? See NVIDIA-AI-IOT Github page for some sample DeepStream reference apps. What is the recipe for creating my own Docker image? Which Triton version is supported in DeepStream 5.1 release? Developers can start with deepstream-test1 which is almost like a DeepStream hello world. Last updated on Feb 02, 2023. Duration of recording. The SDK ships with several simple applications, where developers can learn about basic concepts of DeepStream, constructing a simple pipeline and then progressing to build more complex applications. Does Gst-nvinferserver support Triton multiple instance groups? tensorflow python framework errors impl notfounderror no cpu devices are available in this process Based on the event, these cached frames are encapsulated under the chosen container to generate the recorded video. This is currently supported for Kafka. Running with an X server by creating virtual display, 2 . DeepStream abstracts these libraries in DeepStream plugins, making it easy for developers to build video analytic pipelines without having to learn all the individual libraries. My DeepStream performance is lower than expected. The reference application has capability to accept input from various sources like camera, RTSP input, encoded file input, and additionally supports multi stream/source capability. How can I interpret frames per second (FPS) display information on console? #sensor-list-file=dstest5_msgconv_sample_config.txt, Install librdkafka (to enable Kafka protocol adaptor for message broker), Run deepstream-app (the reference application), Remove all previous DeepStream installations, Run the deepstream-app (the reference application), dGPU Setup for RedHat Enterprise Linux (RHEL), DeepStream Triton Inference Server Usage Guidelines, DeepStream Reference Application - deepstream-app, Expected Output for the DeepStream Reference Application (deepstream-app), DeepStream Reference Application - deepstream-test5 app, IoT Protocols supported and cloud configuration, DeepStream Reference Application - deepstream-audio app, ONNX Parser replace instructions (x86 only), DeepStream Reference Application on GitHub, Implementing a Custom GStreamer Plugin with OpenCV Integration Example, Description of the Sample Plugin: gst-dsexample, Enabling and configuring the sample plugin, Using the sample plugin in a custom application/pipeline, Implementing Custom Logic Within the Sample Plugin, Custom YOLO Model in the DeepStream YOLO App, IModelParser Interface for Custom Model Parsing, Configure TLS options in Kafka config file for DeepStream, Choosing Between 2-way TLS and SASL/Plain, Application Migration to DeepStream 5.0 from DeepStream 4.X, Major Application Differences with DeepStream 4.X, Running DeepStream 4.x compiled Apps in DeepStream 5.0, Compiling DeepStream 4.X Apps in DeepStream 5.0, User/Custom Metadata Addition inside NvDsBatchMeta, Adding Custom Meta in Gst Plugins Upstream from Gst-nvstreammux, Adding metadata to the plugin before Gst-nvstreammux, Gst-nvinfer File Configuration Specifications, To read or parse inference raw tensor data of output layers, Gst-nvinferserver File Configuration Specifications, Low-Level Tracker Library Comparisons and Tradeoffs, nvds_msgapi_connect(): Create a Connection, nvds_msgapi_send() and nvds_msgapi_send_async(): Send an event, nvds_msgapi_subscribe(): Consume data by subscribing to topics, nvds_msgapi_do_work(): Incremental Execution of Adapter Logic, nvds_msgapi_disconnect(): Terminate a Connection, nvds_msgapi_getversion(): Get Version Number, nvds_msgapi_get_protocol_name(): Get name of the protocol, nvds_msgapi_connection_signature(): Get Connection signature, Connection Details for the Device Client Adapter, Connection Details for the Module Client Adapter, nv_msgbroker_connect(): Create a Connection, nv_msgbroker_send_async(): Send an event asynchronously, nv_msgbroker_subscribe(): Consume data by subscribing to topics, nv_msgbroker_disconnect(): Terminate a Connection, nv_msgbroker_version(): Get Version Number, You are migrating from DeepStream 4.0+ to DeepStream 5.0, NvDsBatchMeta not found for input buffer error while running DeepStream pipeline, The DeepStream reference application fails to launch, or any plugin fails to load, Application fails to run when the neural network is changed, The DeepStream application is running slowly (Jetson only), The DeepStream application is running slowly, NVIDIA Jetson Nano, deepstream-segmentation-test starts as expected, but crashes after a few minutes rebooting the system, Errors occur when deepstream-app is run with a number of streams greater than 100, Errors occur when deepstream-app fails to load plugin Gst-nvinferserver on dGPU only, Tensorflow models are running into OOM (Out-Of-Memory) problem, Memory usage keeps on increasing when the source is a long duration containerized files(e.g. Therefore, a total of startTime + duration seconds of data will be recorded. How to tune GPU memory for Tensorflow models? How can I verify that CUDA was installed correctly? How to enable TensorRT optimization for Tensorflow and ONNX models? What if I dont set default duration for smart record? Can I stop it before that duration ends? Add this bin after the audio/video parser element in the pipeline. smart-rec-start-time= How to fix cannot allocate memory in static TLS block error? What is the approximate memory utilization for 1080p streams on dGPU? Why do I encounter such error while running Deepstream pipeline memory type configured and i/p buffer mismatch ip_surf 0 muxer 3? In the main control section, why is the field container_builder required? smart-rec-file-prefix= The size of the video cache can be configured per use case. By default, the current directory is used. Last updated on Sep 10, 2021. Can users set different model repos when running multiple Triton models in single process? There are two ways in which smart record events can be generated - either through local events or through cloud messages. Can Jetson platform support the same features as dGPU for Triton plugin? The data types are all in native C and require a shim layer through PyBindings or NumPy to access them from the Python app. It expects encoded frames which will be muxed and saved to the file. Smart Video Record DeepStream 6.1.1 Release documentation How can I determine the reason? How can I construct the DeepStream GStreamer pipeline? An example of each: How do I configure the pipeline to get NTP timestamps? London, awarded World book of records What if I dont set default duration for smart record? How does secondary GIE crop and resize objects? How to find out the maximum number of streams supported on given platform? World Book of Record Winner December 2020, Claim: Maximum number of textbooks published with ISBN number with a minimum period during COVID -19 lockdown period in India (between April 11, 2020, and July 01, 2020). Details are available in the Readme First section of this document. MP4 and MKV containers are supported. It uses same caching parameters and implementation as video. They are atomic bits of JSON data that can be manipulated and observed. In existing deepstream-test5-app only RTSP sources are enabled for smart record. Regarding git source code compiling in compile_stage, Is it possible to compile source from HTTP archives? Ive already run the program with multi streams input while theres another question Id like to ask. What is batch-size differences for a single model in different config files (, Create Container Image from Graph Composer, Generate an extension for GXF wrapper of GstElement, Extension and component factory registration boilerplate, Implementation of INvDsInPlaceDataHandler, Implementation of an Configuration Provider component, DeepStream Domain Component - INvDsComponent, Probe Callback Implementation - INvDsInPlaceDataHandler, Element Property Controller INvDsPropertyController, Configurations INvDsConfigComponent template and specializations, INvDsVideoTemplatePluginConfigComponent / INvDsAudioTemplatePluginConfigComponent, Set the root folder for searching YAML files during loading, Starts the execution of the graph asynchronously, Waits for the graph to complete execution, Runs all System components and waits for their completion, Get unique identifier of the entity of given component, Get description and list of components in loaded Extension, Get description and list of parameters of Component, nvidia::gxf::DownstreamReceptiveSchedulingTerm, nvidia::gxf::MessageAvailableSchedulingTerm, nvidia::gxf::MultiMessageAvailableSchedulingTerm, nvidia::gxf::ExpiringMessageAvailableSchedulingTerm, nvidia::triton::TritonInferencerInterface, nvidia::triton::TritonRequestReceptiveSchedulingTerm, nvidia::deepstream::NvDs3dDataDepthInfoLogger, nvidia::deepstream::NvDs3dDataColorInfoLogger, nvidia::deepstream::NvDs3dDataPointCloudInfoLogger, nvidia::deepstream::NvDsActionRecognition2D, nvidia::deepstream::NvDsActionRecognition3D, nvidia::deepstream::NvDsMultiSrcConnection, nvidia::deepstream::NvDsGxfObjectDataTranslator, nvidia::deepstream::NvDsGxfAudioClassificationDataTranslator, nvidia::deepstream::NvDsGxfOpticalFlowDataTranslator, nvidia::deepstream::NvDsGxfSegmentationDataTranslator, nvidia::deepstream::NvDsGxfInferTensorDataTranslator, nvidia::BodyPose2D::NvDsGxfBodypose2dDataTranslator, nvidia::deepstream::NvDsMsgRelayTransmitter, nvidia::deepstream::NvDsMsgBrokerC2DReceiver, nvidia::deepstream::NvDsMsgBrokerD2CTransmitter, nvidia::FacialLandmarks::FacialLandmarksPgieModel, nvidia::FacialLandmarks::FacialLandmarksSgieModel, nvidia::FacialLandmarks::FacialLandmarksSgieModelV2, nvidia::FacialLandmarks::NvDsGxfFacialLandmarksTranslator, nvidia::HeartRate::NvDsHeartRateTemplateLib, nvidia::HeartRate::NvDsGxfHeartRateDataTranslator, nvidia::deepstream::NvDsModelUpdatedSignal, nvidia::deepstream::NvDsInferVideoPropertyController, nvidia::deepstream::NvDsLatencyMeasurement, nvidia::deepstream::NvDsAudioClassificationPrint, nvidia::deepstream::NvDsPerClassObjectCounting, nvidia::deepstream::NvDsModelEngineWatchOTFTrigger, nvidia::deepstream::NvDsRoiClassificationResultParse, nvidia::deepstream::INvDsInPlaceDataHandler, nvidia::deepstream::INvDsPropertyController, nvidia::deepstream::INvDsAudioTemplatePluginConfigComponent, nvidia::deepstream::INvDsVideoTemplatePluginConfigComponent, nvidia::deepstream::INvDsInferModelConfigComponent, nvidia::deepstream::INvDsGxfDataTranslator, nvidia::deepstream::NvDsOpticalFlowVisual, nvidia::deepstream::NvDsVideoRendererPropertyController, nvidia::deepstream::NvDsSampleProbeMessageMetaCreation, nvidia::deepstream::NvDsSampleSourceManipulator, nvidia::deepstream::NvDsSampleVideoTemplateLib, nvidia::deepstream::NvDsSampleAudioTemplateLib, nvidia::deepstream::NvDsSampleC2DSmartRecordTrigger, nvidia::deepstream::NvDsSampleD2C_SRMsgGenerator, nvidia::deepstream::NvDsResnet10_4ClassDetectorModel, nvidia::deepstream::NvDsSecondaryCarColorClassifierModel, nvidia::deepstream::NvDsSecondaryCarMakeClassifierModel, nvidia::deepstream::NvDsSecondaryVehicleTypeClassifierModel, nvidia::deepstream::NvDsSonyCAudioClassifierModel, nvidia::deepstream::NvDsCarDetector360dModel, nvidia::deepstream::NvDsSourceManipulationAction, nvidia::deepstream::NvDsMultiSourceSmartRecordAction, nvidia::deepstream::NvDsMultiSrcWarpedInput, nvidia::deepstream::NvDsMultiSrcInputWithRecord, nvidia::deepstream::NvDsOSDPropertyController, nvidia::deepstream::NvDsTilerEventHandler, Setting up a Connection from an Input to an Output, A Basic Example of Container Builder Configuration, Container builder main control section specification, Container dockerfile stage section specification. What is the difference between batch-size of nvstreammux and nvinfer? The inference can use the GPU or DLA (Deep Learning accelerator) for Jetson AGX Xavier and Xavier NX. [When user expect to not use a Display window], My component is not visible in the composer even after registering the extension with registry. If you are familiar with gstreamer programming, it is very easy to add multiple streams. Therefore, a total of startTime + duration seconds of data will be recorded. See the deepstream_source_bin.c for more details on using this module. A callback function can be setup to get the information of recorded video once recording stops. There is an option to configure a tracker. Configure Kafka server (kafka_2.13-2.8.0/config/server.properties): To host Kafka server, we open first terminal: Open a third terminal, and create a topic (You may think of a topic as a YouTube Channel which others people can subscribe to): You might check topic list of a Kafka server: Now, Kafka server is ready for AGX Xavier to produce events. The following minimum json message from the server is expected to trigger the Start/Stop of smart record. The params structure must be filled with initialization parameters required to create the instance. To trigger SVR, AGX Xavier expects to receive formatted JSON messages from Kafka server: To implement custom logic to produce the messages, we write trigger-svr.py. Can Gst-nvinferserver support models cross processes or containers? 1. Please see the Graph Composer Introduction for details. Once frames are batched, it is sent for inference. By executing this consumer.py when AGX Xavier is producing the events, we now can read the events produced from AGX Xavier: Note that messages we received earlier is device-to-cloud messages produced from AGX Xavier. Running without an X server (applicable for applications supporting RTSP streaming output), DeepStream Triton Inference Server Usage Guidelines, Creating custom DeepStream docker for dGPU using DeepStreamSDK package, Creating custom DeepStream docker for Jetson using DeepStreamSDK package, Recommended Minimal L4T Setup necessary to run the new docker images on Jetson, Python Sample Apps and Bindings Source Details, Python Bindings and Application Development, DeepStream Reference Application - deepstream-app, Expected Output for the DeepStream Reference Application (deepstream-app), DeepStream Reference Application - deepstream-test5 app, IoT Protocols supported and cloud configuration, Sensor Provisioning Support over REST API (Runtime sensor add/remove capability), DeepStream Reference Application - deepstream-audio app, DeepStream Audio Reference Application Architecture and Sample Graphs, DeepStream Reference Application - deepstream-nmos app, Using Easy-NMOS for NMOS Registry and Controller, DeepStream Reference Application on GitHub, Implementing a Custom GStreamer Plugin with OpenCV Integration Example, Description of the Sample Plugin: gst-dsexample, Enabling and configuring the sample plugin, Using the sample plugin in a custom application/pipeline, Implementing Custom Logic Within the Sample Plugin, Custom YOLO Model in the DeepStream YOLO App, NvMultiObjectTracker Parameter Tuning Guide, Components Common Configuration Specifications, libnvds_3d_dataloader_realsense Configuration Specifications, libnvds_3d_depth2point_datafilter Configuration Specifications, libnvds_3d_gl_datarender Configuration Specifications, libnvds_3d_depth_datasource Depth file source Specific Configuration Specifications, Configuration File Settings for Performance Measurement, IModelParser Interface for Custom Model Parsing, Configure TLS options in Kafka config file for DeepStream, Choosing Between 2-way TLS and SASL/Plain, Setup for RTMP/RTSP Input streams for testing, Pipelines with existing nvstreammux component, Reference AVSync + ASR (Automatic Speech Recognition) Pipelines with existing nvstreammux, Reference AVSync + ASR Pipelines (with new nvstreammux), Gst-pipeline with audiomuxer (single source, without ASR + new nvstreammux), Sensor provisioning with deepstream-test5-app, Callback implementation for REST API endpoints, DeepStream 3D Action Recognition App Configuration Specifications, Custom sequence preprocess lib user settings, Build Custom sequence preprocess lib and application From Source, Depth Color Capture to 2D Rendering Pipeline Overview, Depth Color Capture to 3D Point Cloud Processing and Rendering, Run RealSense Camera for Depth Capture and 2D Rendering Examples, Run 3D Depth Capture, Point Cloud filter, and 3D Points Rendering Examples, DeepStream 3D Depth Camera App Configuration Specifications, DS3D Custom Components Configuration Specifications, Lidar Point Cloud to 3D Point Cloud Processing and Rendering, Run Lidar Point Cloud Data File reader, Point Cloud Inferencing filter, and Point Cloud 3D rendering and data dump Examples, DeepStream Lidar Inference App Configuration Specifications, Networked Media Open Specifications (NMOS) in DeepStream, DeepStream Can Orientation App Configuration Specifications, Application Migration to DeepStream 6.2 from DeepStream 6.1, Running DeepStream 6.1 compiled Apps in DeepStream 6.2, Compiling DeepStream 6.1 Apps in DeepStream 6.2, User/Custom Metadata Addition inside NvDsBatchMeta, Adding Custom Meta in Gst Plugins Upstream from Gst-nvstreammux, Adding metadata to the plugin before Gst-nvstreammux, Gst-nvdspreprocess File Configuration Specifications, Gst-nvinfer File Configuration Specifications, Clustering algorithms supported by nvinfer, To read or parse inference raw tensor data of output layers, Gst-nvinferserver Configuration File Specifications, Tensor Metadata Output for Downstream Plugins, NvDsTracker API for Low-Level Tracker Library, Unified Tracker Architecture for Composable Multi-Object Tracker, Low-Level Tracker Comparisons and Tradeoffs, Setup and Visualization of Tracker Sample Pipelines, How to Implement a Custom Low-Level Tracker Library, NvStreamMux Tuning Solutions for specific use cases, 3.1.