deepstream smart record deepstream smart record

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. With a lightning-fast response time - that's always free of charge -our customer success team goes above and beyond to make sure our clients have the best RFx experience possible . How can I know which extensions synchronized to registry cache correspond to a specific repository? Why do I observe a lot of buffers being dropped When running deepstream-nvdsanalytics-test application on Jetson Nano ? To learn more about bi-directional capabilities, see the Bidirectional Messaging section in this guide. 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. What should I do if I want to set a self event to control the record? What is the official DeepStream Docker image and where do I get it? 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. Can Gst-nvinferserver support inference on multiple GPUs? DeepStream is a streaming analytic toolkit to build AI-powered applications. Why do I observe: A lot of buffers are being dropped. Once the frames are in the memory, they are sent for decoding using the NVDEC accelerator. How can I determine whether X11 is running? On Jetson platform, I get same output when multiple Jpeg images are fed to nvv4l2decoder using multifilesrc plugin. Can Gst-nvinferserver support inference on multiple GPUs? They are atomic bits of JSON data that can be manipulated and observed. Any data that is needed during callback function can be passed as userData. Here, start time of recording is the number of seconds earlier to the current time to start the recording. The plugin for decode is called Gst-nvvideo4linux2. If you dont have any RTSP cameras, you may pull DeepStream demo container . Video 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, 5. See the deepstream_source_bin.c for more details on using this module. 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 containers are available on NGC, NVIDIA GPU cloud registry. Developers can start with deepstream-test1 which is almost like a DeepStream hello world. One of the key capabilities of DeepStream is secure bi-directional communication between edge and cloud. When executing a graph, the execution ends immediately with the warning No system specified. On Jetson platform, I observe lower FPS output when screen goes idle. Modifications made: (1) based on the results of the real-time video analysis, and: (2) by the application user through external input. It returns the session id which later can be used in NvDsSRStop() to stop the corresponding recording. Yes, on both accounts. 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. 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? How can I specify RTSP streaming of DeepStream output? Can Jetson platform support the same features as dGPU for Triton plugin? What is the recipe for creating my own Docker image? What is the official DeepStream Docker image and where do I get it? 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. Please help to open a new topic if still an issue to support. 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? Does Gst-nvinferserver support Triton multiple instance groups? Whats the throughput of H.264 and H.265 decode on dGPU (Tesla)? How can I verify that CUDA was installed correctly? My DeepStream performance is lower than expected. The source code for this application is available in /opt/nvidia/deepstream/deepstream-6.0/sources/apps/sample_apps/deepstream-app. 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. At the heart of deepstreamHub lies a powerful data-sync engine: schemaless JSON documents called "records" can be manipulated and observed by backend-processes or clients. When expanded it provides a list of search options that will switch the search inputs to match the current selection. Why am I getting following waring when running deepstream app for first time? 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. 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. Container Contents Thanks again. Where can I find the DeepStream sample applications? Does DeepStream Support 10 Bit Video streams? Why am I getting ImportError: No module named google.protobuf.internal when running convert_to_uff.py on Jetson AGX Xavier? After decoding, there is an optional image pre-processing step where the input image can be pre-processed before inference. See the gst-nvdssr.h header file for more details. How do I obtain individual sources after batched inferencing/processing? 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. Does DeepStream Support 10 Bit Video streams? Why does my image look distorted if I wrap my cudaMalloced memory into NvBufSurface and provide to NvBufSurfTransform? To enable audio, a GStreamer element producing encoded audio bitstream must be linked to the asink pad of the smart record bin. # Use this option if message has sensor name as id instead of index (0,1,2 etc.). What types of input streams does DeepStream 5.1 support? . Copyright 2020-2021, NVIDIA. In smart record, encoded frames are cached to save on CPU memory. Can Gst-nvinferserver support models cross processes or containers? And once it happens, container builder may return errors again and again. DeepStream builds on top of several NVIDIA libraries from the CUDA-X stack such as CUDA, TensorRT, NVIDIA Triton Inference server and multimedia libraries. 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. What types of input streams does DeepStream 6.0 support? In this documentation, we will go through Host Kafka server, producing events to Kafka Cluster from AGX Xavier during DeepStream runtime, and This parameter will increase the overall memory usages of the application. 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. Path of directory to save the recorded file. What is the approximate memory utilization for 1080p streams on dGPU? Nothing to do. On Jetson platform, I get same output when multiple Jpeg images are fed to nvv4l2decoder using multifilesrc plugin. 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? # Configure this group to enable cloud message consumer. How can I get more information on why the operation failed? In case a Stop event is not generated. Below diagram shows the smart record architecture: From DeepStream 6.0, Smart Record also supports audio. What are the recommended values for. Can Gst-nvinferserver support models cross processes or containers? My DeepStream performance is lower than expected. Why do I see the below Error while processing H265 RTSP stream? My DeepStream performance is lower than expected. How can I change the location of the registry logs? What are different Memory transformations supported on Jetson and dGPU? Do I need to add a callback function or something else? How to enable TensorRT optimization for Tensorflow and ONNX models? Why is a Gst-nvegltransform plugin required on a Jetson platform upstream from Gst-nveglglessink? DeepStream is a streaming analytic toolkit to build AI-powered applications. Optimum memory management with zero-memory copy between plugins and the use of various accelerators ensure the highest performance. To learn more about deployment with dockers, see the Docker container chapter. Changes are persisted and synced across all connected devices in milliseconds. How to find out the maximum number of streams supported on given platform? Both audio and video will be recorded to the same containerized file. # default duration of recording in seconds. You can design your own application functions. To learn more about these security features, read the IoT chapter. Does Gst-nvinferserver support Triton multiple instance groups? If you set smart-record=2, this will enable smart record through cloud messages as well as local events with default configurations. Why do some caffemodels fail to build after upgrading to DeepStream 6.2? Only the data feed with events of importance is recorded instead of always saving the whole feed. Based on the event, these cached frames are encapsulated under the chosen container to generate the recorded video. because when I try deepstream-app with smart-recording configured for 1 source, the behaviour is perfect. Smart-rec-container=<0/1> Note that the formatted messages were sent to , lets rewrite our consumer.py to inspect the formatted messages from this topic. MP4 and MKV containers are supported. Does DeepStream Support 10 Bit Video streams? How can I check GPU and memory utilization on a dGPU system? Can Gst-nvinfereserver (DeepSream Triton plugin) run on Nano platform? This function stops the previously started recording. This function starts writing the cached audio/video data to a file. 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. See the deepstream_source_bin.c for more details on using this module. 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. Copyright 2023, NVIDIA. Can I record the video with bounding boxes and other information overlaid? Add this bin after the parser element in the pipeline. DeepStream is an optimized graph architecture built using the open source GStreamer framework. June 29, 2022; medical bills on credit report hipaa violation letter; masajes con aceite de oliva para el cabello . Prefix of file name for generated video. The graph below shows a typical video analytic application starting from input video to outputting insights. What are the recommended values for. Are multiple parallel records on same source supported? 1 Like a7med.hish October 4, 2021, 12:18pm #7 Can users set different model repos when running multiple Triton models in single process? Hardware Platform (Jetson / CPU) In the deepstream-test5-app, to demonstrate the use case smart record Start / Stop events are generated every interval second. Copyright 2021, Season. smart-rec-duration= When to start smart recording and when to stop smart recording depend on your design. By default, the current directory is used. DeepStream ships with several out of the box security protocols such as SASL/Plain authentication using username/password and 2-way TLS authentication. This is the time interval in seconds for SR start / stop events generation. For the output, users can select between rendering on screen, saving the output file, or streaming the video out over RTSP. What if I dont set video cache size for smart record? To get started, developers can use the provided reference applications. In smart record, encoded frames are cached to save on CPU memory. How do I configure the pipeline to get NTP timestamps? How to enable TensorRT optimization for Tensorflow and ONNX models? This parameter will ensure the recording is stopped after a predefined default duration. Ive already run the program with multi streams input while theres another question Id like to ask. Why is the Gst-nvstreammux plugin required in DeepStream 4.0+? After pulling the container, you might open the notebook deepstream-rtsp-out.ipynb and create a RTSP source. How can I specify RTSP streaming of DeepStream output? GstBin which is the recordbin of NvDsSRContext must be added to the pipeline. 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. What are different Memory transformations supported on Jetson and dGPU? What is the recipe for creating my own Docker image? 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. There are two ways in which smart record events can be generated - either through local events or through cloud messages. 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. This app is fully configurable - it allows users to configure any type and number of sources. How can I display graphical output remotely over VNC? There are two ways in which smart record events can be generated - either through local events or through cloud messages. Metadata propagation through nvstreammux and nvstreamdemux. Can I record the video with bounding boxes and other information overlaid? What types of input streams does DeepStream 6.2 support? deepstream-test5 sample application will be used for demonstrating SVR. The data types are all in native C and require a shim layer through PyBindings or NumPy to access them from the Python app. My component is getting registered as an abstract type. Below diagram shows the smart record architecture: This module provides the following APIs. Observing video and/or audio stutter (low framerate), 2. How to clean and restart? Powered by Discourse, best viewed with JavaScript enabled. Prefix of file name for generated stream. How can I run the DeepStream sample application in debug mode? For unique names every source must be provided with a unique prefix. How to get camera calibration parameters for usage in Dewarper plugin? userData received in that callback is the one which is passed during NvDsSRStart(). Running with an X server by creating virtual display, 2 . userData received in that callback is the one which is passed during NvDsSRStart(). 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. DeepStream 5.1 NVIDIA introduced Python bindings to help you build high-performance AI applications using Python. Are multiple parallel records on same source supported? This parameter will ensure the recording is stopped after a predefined default duration. Freelancer Why I cannot run WebSocket Streaming with Composer? Why is that? 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. How can I display graphical output remotely over VNC? By default, the current directory is used. smart-rec-start-time= How to fix cannot allocate memory in static TLS block error? When running live camera streams even for few or single stream, also output looks jittery? 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. deepstream smart record. How to tune GPU memory for Tensorflow models? Can I stop it before that duration ends? Why am I getting following warning when running deepstream app for first time? The deepstream-test2 progresses from test1 and cascades secondary network to the primary network. In case duration is set to zero, recording will be stopped after defaultDuration seconds set in NvDsSRCreate(). The first frame in the cache may not be an Iframe, so, some frames from the cache are dropped to fulfil this condition. # Use this option if message has sensor name as id instead of index (0,1,2 etc.). Edge AI device (AGX Xavier) is used for this demonstration. 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. 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 size of the video cache can be configured per use case. Smart Video Record DeepStream 6.1.1 Release documentation, DeepStream Reference Application - deepstream-app DeepStream 6.1.1 Release documentation. , awarded WBR. How to minimize FPS jitter with DS application while using RTSP Camera Streams? In the main control section, why is the field container_builder required? If you are trying to detect an object, this tensor data needs to be post-processed by a parsing and clustering algorithm to create bounding boxes around the detected object. What is batch-size differences for a single model in different config files (, Generating a non-DeepStream (GStreamer) extension, Generating a DeepStream (GStreamer) extension, 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, 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, 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.