Therefore, a total of startTime + duration seconds of data will be recorded. Below diagram shows the smart record architecture: From DeepStream 6.0, Smart Record also supports audio. #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. For deployment at scale, you can build cloud-native, DeepStream applications using containers and orchestrate it all with Kubernetes platforms. Can Gst-nvinferserver support models across processes or containers? Smart video recording (SVR) is an event-based recording that a portion of video is recorded in parallel to DeepStream pipeline based on objects of interests or specific rules for recording. Freelancer projects vlsi embedded Jobs, Employment | Freelancer # Use this option if message has sensor name as id instead of index (0,1,2 etc.). In existing deepstream-test5-app only RTSP sources are enabled for smart record. DeepStream ships with several out of the box security protocols such as SASL/Plain authentication using username/password and 2-way TLS authentication. 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? For sending metadata to the cloud, DeepStream uses Gst-nvmsgconv and Gst-nvmsgbroker plugin. On AGX Xavier, we first find the deepstream-app-test5 directory and create the sample application: If you are not sure which CUDA_VER you have, check */usr/local/*. By performing all the compute heavy operations in a dedicated accelerator, DeepStream can achieve highest performance for video analytic applications. This is the time interval in seconds for SR start / stop events generation. Once frames are batched, it is sent for inference. userData received in that callback is the one which is passed during NvDsSRStart(). Configure [source0] and [sink1] groups of DeepStream app config configs/test5_dec_infer-resnet_tracker_sgie_tiled_display_int8.txt so that DeepStream is able to use RTSP source from step 1 and render events to your Kafka server: At this stage, our DeepStream application is ready to run and produce events containing bounding box coordinates to Kafka server: To consume the events, we write consumer.py. Produce device-to-cloud event messages, 5. To read more about these apps and other sample apps in DeepStream, see the C/C++ Sample Apps Source Details and Python Sample Apps and Bindings Source Details. All the individual blocks are various plugins that are used. Thanks for ur reply! What are different Memory transformations supported on Jetson and dGPU? It expects encoded frames which will be muxed and saved to the file. 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. The core function of DSL is to provide a simple and intuitive API for building, playing, and dynamically modifying NVIDIA DeepStream Pipelines. This function starts writing the cached audio/video data to a file. How to enable TensorRT optimization for Tensorflow and ONNX models? 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 check GPU and memory utilization on a dGPU system? How to handle operations not supported by Triton Inference Server? This parameter will increase the overall memory usages of the application. Why do I observe a lot of buffers being dropped When running deepstream-nvdsanalytics-test application on Jetson Nano ? Size of cache in seconds. The DeepStream reference application is a GStreamer based solution and consists of set of GStreamer plugins encapsulating low-level APIs to form a complete graph. Observing video and/or audio stutter (low framerate), 2. Why does the deepstream-nvof-test application show the error message Device Does NOT support Optical Flow Functionality ? Running with an X server by creating virtual display, 2 . GstBin which is the recordbin of NvDsSRContext must be added to the pipeline. These plugins use GPU or VIC (vision image compositor). deepstream smart record Can Jetson platform support the same features as dGPU for Triton plugin? Karthick Iyer auf LinkedIn: Seamlessly Develop Vision AI Applications Why am I getting ImportError: No module named google.protobuf.internal when running convert_to_uff.py on Jetson AGX Xavier? What is batch-size differences for a single model in different config files (. Why does my image look distorted if I wrap my cudaMalloced memory into NvBufSurface and provide to NvBufSurfTransform? 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), How to visualize the output if the display is not attached to the system, 1 . In this documentation, we will go through, producing events to Kafka Cluster from AGX Xavier during DeepStream runtime, and. Why is that? The graph below shows a typical video analytic application starting from input video to outputting insights. How to use the OSS version of the TensorRT plugins in DeepStream? 1. DeepStream provides building blocks in the form of GStreamer plugins that can be used to construct an efficient video analytic pipeline. DeepStream applications can be created without coding using the Graph Composer. What are the recommended values for. How do I obtain individual sources after batched inferencing/processing? Why is that? Does Gst-nvinferserver support Triton multiple instance groups? To enable smart record in deepstream-test5-app set the following under [sourceX] group: To enable smart record through only cloud messages, set smart-record=1 and configure [message-consumerX] group accordingly. Python is easy to use and widely adopted by data scientists and deep learning experts when creating AI models. Smart Video Record DeepStream 6.2 Release documentation To get started with Python, see the Python Sample Apps and Bindings Source Details in this guide and DeepStream Python in the DeepStream Python API Guide. Cng Vic, Thu Tensorflow python framework errors impl notfounderror Why is that? On Jetson platform, I get same output when multiple Jpeg images are fed to nvv4l2decoder using multifilesrc plugin. Why do I encounter such error while running Deepstream pipeline memory type configured and i/p buffer mismatch ip_surf 0 muxer 3? Typeerror hoverintent uncaught typeerror object object method Jobs Yes, on both accounts. Nothing to do, NvDsBatchMeta not found for input buffer error while running DeepStream pipeline, The DeepStream reference application fails to launch, or any plugin fails to load, Errors occur when deepstream-app is run with a number of streams greater than 100, After removing all the sources from the pipeline crash is seen if muxer and tiler are present in the pipeline, Some RGB video format pipelines worked before DeepStream 6.1 onwards on Jetson but dont work now, UYVP video format pipeline doesnt work on Jetson, Memory usage keeps on increasing when the source is a long duration containerized files(e.g. This is currently supported for Kafka. 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? Can Gst-nvinferserver support inference on multiple GPUs? Recording also can be triggered by JSON messages received from the cloud. For unique names every source must be provided with a unique prefix. This function creates the instance of smart record and returns the pointer to an allocated NvDsSRContext. In case a Stop event is not generated. recordbin of NvDsSRContext is smart record bin which must be added to the pipeline. Can Gst-nvinfereserver (DeepSream Triton plugin) run on Nano platform? London, awarded World book of records How can I display graphical output remotely over VNC? The performance benchmark is also run using this application. How does secondary GIE crop and resize objects? Following are the default values of configuration parameters: Following fields can be used under [sourceX] groups to configure these parameters. Why do I observe: A lot of buffers are being dropped. DeepStream builds on top of several NVIDIA libraries from the CUDA-X stack such as CUDA, TensorRT, NVIDIA Triton Inference server and multimedia libraries. What are the recommended values for. In case duration is set to zero, recording will be stopped after defaultDuration seconds set in NvDsSRCreate(). Configure DeepStream application to produce events, 4. Object tracking is performed using the Gst-nvtracker plugin. Path of directory to save the recorded file. 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. You may also refer to Kafka Quickstart guide to get familiar with Kafka. The registry failed to perform an operation and reported an error message. 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? The DeepStream 360d app can serve as the perception layer that accepts multiple streams of 360-degree video to generate metadata and parking-related events. deepstream smart record. What should I do if I want to set a self event to control the record? Why does the RTSP source used in gst-launch pipeline through uridecodebin show blank screen followed by the error -. Can I stop it before that duration ends? Records are created and retrieved using client.record.getRecord ('name') To learn more about how they are used, have a look at the Record Tutorial. When running live camera streams even for few or single stream, also output looks jittery? My DeepStream performance is lower than expected. The core SDK consists of several hardware accelerator plugins that use accelerators such as VIC, GPU, DLA, NVDEC and NVENC. GstBin which is the recordbin of NvDsSRContext must be added to the pipeline. How can I determine the reason? Does deepstream Smart Video Record support multi streams? Copyright 2020-2021, NVIDIA. Hardware Platform (Jetson / CPU) The end-to-end application is called deepstream-app. Creating records 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. Read more about DeepStream here. Path of directory to save the recorded file. Finally to output the results, DeepStream presents various options: render the output with the bounding boxes on the screen, save the output to the local disk, stream out over RTSP or just send the metadata to the cloud. In smart record, encoded frames are cached to save on CPU memory. Copyright 2020-2021, NVIDIA. At the bottom are the different hardware engines that are utilized throughout the application. Developers can start with deepstream-test1 which is almost like a DeepStream hello world. How can I change the location of the registry logs? Can users set different model repos when running multiple Triton models in single process? In case duration is set to zero, recording will be stopped after defaultDuration seconds set in NvDsSRCreate(). Does smart record module work with local video streams? Why do I see the below Error while processing H265 RTSP stream? What is the recipe for creating my own Docker image? Why is the Gst-nvstreammux plugin required in DeepStream 4.0+? DeepStream - Smart Video Recording DeepStream User Guide ds-doc-1 MP4 and MKV containers are supported. The DeepStream runtime system is pipelined to enable deep learning inference, image, and sensor processing, and sending insights to the cloud in a streaming application. 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. Following are the default values of configuration parameters: Following fields can be used under [sourceX] groups to configure these parameters. This is currently supported for Kafka. There are several built-in broker protocols such as Kafka, MQTT, AMQP and Azure IoT. This application is covered in greater detail in the DeepStream Reference Application - deepstream-app chapter. What are the sample pipelines for nvstreamdemux? What types of input streams does DeepStream 6.2 support? When to start smart recording and when to stop smart recording depend on your design. How to set camera calibration parameters in Dewarper plugin config file? Why do some caffemodels fail to build after upgrading to DeepStream 6.0? How to enable TensorRT optimization for Tensorflow and ONNX models? By default, the current directory is used. That means smart record Start/Stop events are generated every 10 seconds through local events. Dieser Button zeigt den derzeit ausgewhlten Suchtyp an. For unique names every source must be provided with a unique prefix. Why am I getting ImportError: No module named google.protobuf.internal when running convert_to_uff.py on Jetson AGX Xavier? DeepStream is only a SDK which provide HW accelerated APIs for video inferencing, video decoding, video processing, etc. To make it easier to get started, DeepStream ships with several reference applications in both in C/C++ and in Python. They will take video from a file, decode, batch and then do object detection and then finally render the boxes on the screen. How can I run the DeepStream sample application in debug mode? To start with, lets prepare a RTSP stream using DeepStream. How to handle operations not supported by Triton Inference Server? Ive already run the program with multi streams input while theres another question Id like to ask. smart-rec-video-cache=
How does secondary GIE crop and resize objects? Why do I observe a lot of buffers being dropped when running deepstream-nvdsanalytics-test application on Jetson Nano ? 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. The DeepStream Python application uses the Gst-Python API action to construct the pipeline and use probe functions to access data at various points in the pipeline. This recording happens in parallel to the inference pipeline running over the feed. Today, Deepstream has become the silent force behind some of the world's largest banks, communication, and entertainment companies. What are the sample pipelines for nvstreamdemux? Smart-rec-container=<0/1> Details are available in the Readme First section of this document. Observing video and/or audio stutter (low framerate), 2. In the main control section, why is the field container_builder required? Streaming data can come over the network through RTSP or from a local file system or from a camera directly. 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. On Jetson platform, I get same output when multiple Jpeg images are fed to nvv4l2decoder using multifilesrc plugin. When running live camera streams even for few or single stream, also output looks jittery? On Jetson platform, I get same output when multiple Jpeg images are fed to nvv4l2decoder using multifilesrc plugin. How can I check GPU and memory utilization on a dGPU system? What is the correct way to do this? In SafeFac a set of cameras installed on the assembly line are used to captu. During container builder installing graphs, sometimes there are unexpected errors happening while downloading manifests or extensions from registry. Batching is done using the Gst-nvstreammux plugin. Surely it can. By executing this trigger-svr.py when AGX is producing the events, we now can not only consume the messages from AGX Xavier but also produce JSON messages to in Kafka server which will be subscribed by AGX Xavier to trigger SVR. '/usr/lib/aarch64-linux-gnu/gstreamer-1.0/libgstlibav.so': # Configure this group to enable cloud message consumer. Smart-rec-container=<0/1>
And once it happens, container builder may return errors again and again. Can Gst-nvinferserver support models cross processes or containers? See NVIDIA-AI-IOT Github page for some sample DeepStream reference apps. smart-rec-interval= 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? deepstream.io Smart Parking Detection | NVIDIA NGC Call NvDsSRDestroy() to free resources allocated by this function. In case a Stop event is not generated. 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. Freelancer deepstream-test5 sample application will be used for demonstrating SVR. If you dont have any RTSP cameras, you may pull DeepStream demo container . What is maximum duration of data I can cache as history for smart record? A callback function can be setup to get the information of recorded video once recording stops. Any change to a record is instantly synced across all connected clients. Python Sample Apps and Bindings Source Details, DeepStream Reference Application - deepstream-app, Install librdkafka (to enable Kafka protocol adaptor for message broker), Run deepstream-app (the reference application), Remove all previous DeepStream installations, Install CUDA Toolkit 11.4.1 (CUDA 11.4 Update 1), Run the deepstream-app (the reference application), dGPU Setup for RedHat Enterprise Linux (RHEL), Install CUDA Toolkit 11.4 (CUDA 11.4 Update 1), DeepStream Triton Inference Server Usage Guidelines, Creating custom DeepStream docker for dGPU using DeepStreamSDK package, Creating custom DeepStream docker for Jetson using DeepStreamSDK package, Python Bindings and Application Development, 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, DeepStream Audio Reference Application Architecture and Sample Graphs, 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, 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), DeepStream 3D Action Recognition App Configuration Specifications, Custom sequence preprocess lib user settings, Build Custom sequence preprocess lib and application From Source, Application Migration to DeepStream 6.0 from DeepStream 5.X, Major Application Differences with DeepStream 5.X, Running DeepStream 5.X compiled Apps in DeepStream 6.0, Compiling DeepStream 5.1 Apps in DeepStream 6.0, Low-level Object Tracker Library Migration from DeepStream 5.1 Apps to DeepStream 6.0, 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-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 File Configuration Specifications, Tensor Metadata Output for DownStream Plugins, NvDsTracker API for Low-Level Tracker Library, Unified Tracker Architecture for Composable Multi-Object Tracker, Visualization of Sample Outputs and Correlation Responses, Low-Level Tracker Comparisons and Tradeoffs, How to Implement a Custom Low-Level Tracker Library, NvStreamMux Tuning Solutions for specific usecases, 3.1Video and Audio muxing; file sources of different fps, 3.2 Video and Audio muxing; RTMP/RTSP sources, 4.1 GstAggregator plugin -> filesink does not write data into the file, 4.2 nvstreammux WARNING Lot of buffers are being dropped, 1.