deepstream smart recorddeepstream smart record

During container builder installing graphs, sometimes there are unexpected errors happening while downloading manifests or extensions from registry. Are multiple parallel records on same source supported? My component is getting registered as an abstract type. Copyright 2021, Season. # Use this option if message has sensor name as id instead of index (0,1,2 etc.). Gst-nvmsgconv converts the metadata into schema payload and Gst-nvmsgbroker establishes the connection to the cloud and sends the telemetry data. What if I dont set video cache size for smart record? 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 message format is as follows: Receiving and processing such messages from the cloud is demonstrated in the deepstream-test5 sample application. What is the recipe for creating my own Docker image? The events are transmitted over Kafka to a streaming and batch analytics backbone. Bei Erweiterung erscheint eine Liste mit Suchoptionen, die die Sucheingaben so ndern, dass sie zur aktuellen Auswahl passen. Prefix of file name for generated stream. Does deepstream Smart Video Record support multi streams? The pre-processing can be image dewarping or color space conversion. KAFKA_TRANSACTION_STATE_LOG_REPLICATION_FACTOR, KAFKA_CONFLUENT_LICENSE_TOPIC_REPLICATION_FACTOR, KAFKA_CONFLUENT_BALANCER_TOPIC_REPLICATION_FACTOR, CONFLUENT_METRICS_REPORTER_BOOTSTRAP_SERVERS, CONFLUENT_METRICS_REPORTER_TOPIC_REPLICAS, 3. Can users set different model repos when running multiple Triton models in single process? Duration of recording. Can Jetson platform support the same features as dGPU for Triton plugin? You can design your own application functions. This recording happens in parallel to the inference pipeline running over the feed. This is currently supported for Kafka. If you dont have any RTSP cameras, you may pull DeepStream demo container . [When user expect to use Display window], 2. My DeepStream performance is lower than expected. See the gst-nvdssr.h header file for more details. Refer to the deepstream-testsr sample application for more details on usage. userData received in that callback is the one which is passed during NvDsSRStart(). # Use this option if message has sensor name as id instead of index (0,1,2 etc.). What if I dont set video cache size for smart record? I'll be adding new github Issues for both items, but will leave this issue open until then. How can I check GPU and memory utilization on a dGPU system? For creating visualization artifacts such as bounding boxes, segmentation masks, labels there is a visualization plugin called Gst-nvdsosd. How can I display graphical output remotely over VNC? For unique names every source must be provided with a unique prefix. This button displays the currently selected search type. 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. This function stops the previously started recording. This function releases the resources previously allocated by NvDsSRCreate(). Gst-nvvideoconvert plugin can perform color format conversion on the frame. 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. How do I configure the pipeline to get NTP timestamps? Can I stop it before that duration ends? 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 core SDK consists of several hardware accelerator plugins that use accelerators such as VIC, GPU, DLA, NVDEC and NVENC. This recording happens in parallel to the inference pipeline running over the feed. How can I construct the DeepStream GStreamer pipeline? Using records Records are requested using client.record.getRecord (name). Prefix of file name for generated video. Add this bin after the parser element in the pipeline. How to find out the maximum number of streams supported on given platform? In case duration is set to zero, recording will be stopped after defaultDuration seconds set in NvDsSRCreate(). deepstream smart record. For example, the record starts when theres an object being detected in the visual field. 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. For deployment at scale, you can build cloud-native, DeepStream applications using containers and orchestrate it all with Kubernetes platforms. Can users set different model repos when running multiple Triton models in single process? 1. Path of directory to save the recorded file. Size of cache in seconds. 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. What are different Memory transformations supported on Jetson and dGPU? 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. Why am I getting following waring when running deepstream app for first time? How can I run the DeepStream sample application in debug mode? How to enable TensorRT optimization for Tensorflow and ONNX models? Batching is done using the Gst-nvstreammux plugin. When expanded it provides a list of search options that will switch the search inputs to match the current selection. 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. Why is that? It returns the session id which later can be used in NvDsSRStop() to stop the corresponding recording. tensorflow python framework errors impl notfounderror no cpu devices are available in this process Ive already run the program with multi streams input while theres another question Id like to ask. What is the GPU requirement for running the Composer? Call NvDsSRDestroy() to free resources allocated by this function. Once frames are batched, it is sent for inference. Surely it can. 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. The first frame in the cache may not be an Iframe, so, some frames from the cache are dropped to fulfil this condition. A video cache is maintained so that recorded video has frames both before and after the event is generated. smart-rec-dir-path= Nothing to do. Only the data feed with events of importance is recorded instead of always saving the whole feed. If you set smart-record=2, this will enable smart record through cloud messages as well as local events with default configurations. Copyright 2023, NVIDIA. June 29, 2022; medical bills on credit report hipaa violation letter; masajes con aceite de oliva para el cabello . Do I need to add a callback function or something else? This means, the recording cannot be started until we have an Iframe. Why is the Gst-nvstreammux plugin required in DeepStream 4.0+? What are the sample pipelines for nvstreamdemux? Sink plugin shall not move asynchronously to PAUSED, 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, DS-Riva ASR Yaml File Configuration Specifications, DS-Riva TTS Yaml File Configuration Specifications, You are migrating from DeepStream 5.x to DeepStream 6.0, 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, 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. The params structure must be filled with initialization parameters required to create the instance. Note that the formatted messages were sent to , lets rewrite our consumer.py to inspect the formatted messages from this topic. Metadata propagation through nvstreammux and nvstreamdemux. It expects encoded frames which will be muxed and saved to the file. There is an option to configure a tracker. 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. Yes, on both accounts. Does smart record module work with local video streams? How to set camera calibration parameters in Dewarper plugin config file? By default, the current directory is used. To get started, developers can use the provided reference applications. Please see the Graph Composer Introduction for details. The deepstream-test2 progresses from test1 and cascades secondary network to the primary network. DeepStream is a streaming analytic toolkit to build AI-powered applications. Any data that is needed during callback function can be passed as userData. For example, if t0 is the current time and N is the start time in seconds that means recording will start from t0 N. For it to work, the cache size must be greater than the N. smart-rec-default-duration= DeepStream is only a SDK which provide HW accelerated APIs for video inferencing, video decoding, video processing, etc. When executing a graph, the execution ends immediately with the warning No system specified. Please help to open a new topic if still an issue to support. Which Triton version is supported in DeepStream 5.1 release? TensorRT accelerates the AI inference on NVIDIA GPU. Both audio and video will be recorded to the same containerized file. Object tracking is performed using the Gst-nvtracker plugin. Why does the deepstream-nvof-test application show the error message Device Does NOT support Optical Flow Functionality ? How can I run the DeepStream sample application in debug mode? Why do I encounter such error while running Deepstream pipeline memory type configured and i/p buffer mismatch ip_surf 0 muxer 3? The performance benchmark is also run using this application. Why does my image look distorted if I wrap my cudaMalloced memory into NvBufSurface and provide to NvBufSurfTransform? 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 if I dont set video cache size for smart record? Also included are the source code for these applications. Why do I see the below Error while processing H265 RTSP stream? In existing deepstream-test5-app only RTSP sources are enabled for smart record. Smart video record is used for event (local or cloud) based recording of original data feed. Why am I getting following warning when running deepstream app for first time? This parameter will ensure the recording is stopped after a predefined default duration. Here startTime specifies the seconds before the current time and duration specifies the seconds after the start of recording. Custom broker adapters can be created. Which Triton version is supported in DeepStream 6.0 release? Users can also select the type of networks to run inference. Path of directory to save the recorded file. Can Gst-nvinfereserver (DeepSream Triton plugin) run on Nano platform? 1 Like a7med.hish October 4, 2021, 12:18pm #7 Based on the event, these cached frames are encapsulated under the chosen container to generate the recorded video. What is maximum duration of data I can cache as history for smart record? Refer to this post for more details. It's free to sign up and bid on jobs. Learn More. Container Contents On Jetson platform, I get same output when multiple Jpeg images are fed to nvv4l2decoder using multifilesrc plugin. This function creates the instance of smart record and returns the pointer to an allocated NvDsSRContext. Powered by Discourse, best viewed with JavaScript enabled. This parameter will increase the overall memory usages of the application. To learn more about these security features, read the IoT chapter. These 4 starter applications are available in both native C/C++ as well as in Python. London, awarded World book of records Streaming data can come over the network through RTSP or from a local file system or from a camera directly. Typeerror hoverintent uncaught typeerror object object method jobs I want to Hire I want to Work. How can I construct the DeepStream GStreamer pipeline? What are the recommended values for. Hardware Platform (Jetson / CPU) 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. Thanks again. For unique names every source must be provided with a unique prefix. What is the difference between DeepStream classification and Triton classification? Native TensorRT inference is performed using Gst-nvinfer plugin and inference using Triton is done using Gst-nvinferserver plugin. DeepStream supports application development in C/C++ and in Python through the Python bindings. This app is fully configurable - it allows users to configure any type and number of sources. What is the difference between DeepStream classification and Triton classification? DeepStream SDK can be the foundation layer for a number of video analytic solutions like understanding traffic and pedestrians in smart city, health and safety monitoring in hospitals, self-checkout and analytics in retail, detecting component defects at a manufacturing facility and others. Observing video and/or audio stutter (low framerate), 2. Jetson devices) to follow the demonstration. What if I dont set default duration for smart record? MP4 and MKV containers are supported. Issue Type( questions). mp4, mkv), Errors occur when deepstream-app is run with a number of RTSP streams and with NvDCF tracker, Troubleshooting in NvDCF Parameter Tuning, Frequent tracking ID changes although no nearby objects, Frequent tracking ID switches to the nearby objects. Why is that? I started the record with a set duration. How to find the performance bottleneck in DeepStream? What is the approximate memory utilization for 1080p streams on dGPU? DeepStream is an optimized graph architecture built using the open source GStreamer framework. # Configure this group to enable cloud message consumer. 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. The size of the video cache can be configured per use case. The registry failed to perform an operation and reported an error message. . Why do I encounter such error while running Deepstream pipeline memory type configured and i/p buffer mismatch ip_surf 0 muxer 3? 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. # default duration of recording in seconds. . I hope to wrap up a first version of ODE services and alpha v0.5 by the end of the week, Once released I'm going to start on the Deepstream 5 upgrade, and the Smart recording will be the first new ODE action to implement. Can I record the video with bounding boxes and other information overlaid? 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. How to enable TensorRT optimization for Tensorflow and ONNX models? Developers can start with deepstream-test1 which is almost like a DeepStream hello world. In the main control section, why is the field container_builder required? mp4, mkv), DeepStream plugins failing to load without DISPLAY variable set when launching DS dockers, On Jetson, observing error : gstnvarguscamerasrc.cpp, execute:751 No cameras available. Freelancer For the output, users can select between rendering on screen, saving the output file, or streaming the video out over RTSP. How can I determine whether X11 is running? This parameter will ensure the recording is stopped after a predefined default duration. However, when configuring smart-record for multiple sources the duration of the videos are no longer consistent (different duration for each video). How to fix cannot allocate memory in static TLS block error? For example, the record starts when theres an object being detected in the visual field. recordbin of NvDsSRContext is smart record bin which must be added to the pipeline. DeepStream is optimized for NVIDIA GPUs; the application can be deployed on an embedded edge device running Jetson platform or can be deployed on larger edge or datacenter GPUs like T4. Why do some caffemodels fail to build after upgrading to DeepStream 5.1? What is the correct way to do this? Why does my image look distorted if I wrap my cudaMalloced memory into NvBufSurface and provide to NvBufSurfTransform? The core function of DSL is to provide a simple and intuitive API for building, playing, and dynamically modifying NVIDIA DeepStream Pipelines. Records are the main building blocks of deepstream's data-sync capabilities. This is the time interval in seconds for SR start / stop events generation. In this documentation, we will go through Host Kafka server, producing events to Kafka Cluster from AGX Xavier during DeepStream runtime, and A callback function can be setup to get the information of recorded video once recording stops. Below diagram shows the smart record architecture: This module provides the following APIs. My component is getting registered as an abstract type. A callback function can be setup to get the information of recorded audio/video once recording stops. They are atomic bits of JSON data that can be manipulated and observed. Observing video and/or audio stutter (low framerate), 2. The deepstream-test3 shows how to add multiple video sources and then finally test4 will show how to IoT services using the message broker plugin. The plugin for decode is called Gst-nvvideo4linux2. There are two ways in which smart record events can be generated either through local events or through cloud messages. It expects encoded frames which will be muxed and saved to the file. Does DeepStream Support 10 Bit Video streams? Sink plugin shall not move asynchronously to PAUSED, 5. After inference, the next step could involve tracking the object. Optimizing nvstreammux config for low-latency vs Compute, 6. I started the record with a set duration. How to handle operations not supported by Triton Inference Server? DeepStream is only a SDK which provide HW accelerated APIs for video inferencing, video decoding, video processing, etc. What is the recipe for creating my own Docker image? MP4 and MKV containers are supported. Last updated on Feb 02, 2023. Why do I observe a lot of buffers being dropped When running deepstream-nvdsanalytics-test application on Jetson Nano ? You may also refer to Kafka Quickstart guide to get familiar with Kafka. How to handle operations not supported by Triton Inference Server? Can Gst-nvinferserver support inference on multiple GPUs? DeepStream ships with several out of the box security protocols such as SASL/Plain authentication using username/password and 2-way TLS authentication. # Use this option if message has sensor name as id instead of index (0,1,2 etc.). In smart record, encoded frames are cached to save on CPU memory. Why do I see the below Error while processing H265 RTSP stream? How to extend this to work with multiple sources? I can run /opt/nvidia/deepstream/deepstream-5.1/sources/apps/sample_apps/deepstream-testsr to implement Smart Video Record, but now I would like to ask if Smart Video Record supports multi streams? To enable audio, a GStreamer element producing encoded audio bitstream must be linked to the asink pad of the smart record bin. Why do some caffemodels fail to build after upgrading to DeepStream 6.2? How to use nvmultiurisrcbin in a pipeline, 3.1 REST API payload definitions and sample curl commands for reference, 3.1.1 ADD a new stream to a DeepStream pipeline, 3.1.2 REMOVE a new stream to a DeepStream pipeline, 4.1 Gst Properties directly configuring nvmultiurisrcbin, 4.2 Gst Properties to configure each instance of nvurisrcbin created inside this bin, 4.3 Gst Properties to configure the instance of nvstreammux created inside this bin, 5.1 nvmultiurisrcbin config recommendations and notes on expected behavior, 3.1 Gst Properties to configure nvurisrcbin, You are migrating from DeepStream 6.0 to DeepStream 6.2, Application fails to run when the neural network is changed, The DeepStream application is running slowly (Jetson only), The DeepStream application is running slowly, Errors occur when deepstream-app fails to load plugin Gst-nvinferserver, Tensorflow models are running into OOM (Out-Of-Memory) problem, Troubleshooting in Tracker Setup and 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, My component is not visible in the composer even after registering the extension with registry. deepstream smart record. 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. The next step is to batch the frames for optimal inference performance. 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. Why do I encounter such error while running Deepstream pipeline memory type configured and i/p buffer mismatch ip_surf 0 muxer 3? By performing all the compute heavy operations in a dedicated accelerator, DeepStream can achieve highest performance for video analytic applications. What is the approximate memory utilization for 1080p streams on dGPU? Adding a callback is a possible way. # seconds before the current time to start recording. Running with an X server by creating virtual display, 2 . How can I verify that CUDA was installed correctly? The source code for this application is available in /opt/nvidia/deepstream/deepstream-6.0/sources/apps/sample_apps/deepstream-app. because when I try deepstream-app with smart-recording configured for 1 source, the behaviour is perfect. Here startTime specifies the seconds before the current time and duration specifies the seconds after the start of recording. How to use the OSS version of the TensorRT plugins in DeepStream? Why do some caffemodels fail to build after upgrading to DeepStream 6.0? What should I do if I want to set a self event to control the record? How can I interpret frames per second (FPS) display information on console? Are multiple parallel records on same source supported? Why do I observe: A lot of buffers are being dropped. Currently, there is no support for overlapping smart record. What is maximum duration of data I can cache as history for smart record? The graph below shows a typical video analytic application starting from input video to outputting insights. Can Jetson platform support the same features as dGPU for Triton plugin? How to get camera calibration parameters for usage in Dewarper plugin? The increasing number of IoT devices in "smart" environments, such as homes, offices, and cities, produce seemingly endless data streams and drive many daily decisions. Optimum memory management with zero-memory copy between plugins and the use of various accelerators ensure the highest performance. 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). Any change to a record is instantly synced across all connected clients. What are different Memory types supported on Jetson and dGPU? 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? The streams are captured using the CPU. The inference can be done using TensorRT, NVIDIAs inference accelerator runtime or can be done in the native framework such as TensorFlow or PyTorch using Triton inference server. The inference can use the GPU or DLA (Deep Learning accelerator) for Jetson AGX Xavier and Xavier NX. That means smart record Start/Stop events are generated every 10 seconds through local events. Tensor data is the raw tensor output that comes out after inference. If you set smart-record=2, this will enable smart record through cloud messages as well as local events with default configurations. Configure DeepStream application to produce events, 4. Ive configured smart-record=2 as the document said, using local event to start or end video-recording. Why is that? To learn more about bi-directional capabilities, see the Bidirectional Messaging section in this guide. What are different Memory transformations supported on Jetson and dGPU? To enable smart record in deepstream-test5-app set the following under [sourceX] group: smart-record=<1/2> 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.

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