Its lightning-fast realtime data platform helps developers of any background or skillset build apps, IoT platforms, and backends that always stay in sync - without having to worry about infrastructure or . Can I stop it before that duration ends? #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 . The property bufapi-version is missing from nvv4l2decoder, what to do? How to enable TensorRT optimization for Tensorflow and ONNX models? 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 params structure must be filled with initialization parameters required to create the instance. There is an option to configure a tracker. deepstream smart record. smart-rec-file-prefix= The source code for this application is available in /opt/nvidia/deepstream/deepstream-6.0/sources/apps/sample_apps/deepstream-app. What is the official DeepStream Docker image and where do I get it? It uses same caching parameters and implementation as video. When running live camera streams even for few or single stream, also output looks jittery? How to tune GPU memory for Tensorflow models? I started the record with a set duration. This function creates the instance of smart record and returns the pointer to an allocated NvDsSRContext. 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. June 29, 2022; medical bills on credit report hipaa violation letter; masajes con aceite de oliva para el cabello . Are multiple parallel records on same source supported? My DeepStream performance is lower than expected. [When user expect to use Display window], 2. In case a Stop event is not generated. Hardware Platform (Jetson / CPU) How to enable TensorRT optimization for Tensorflow and ONNX models? What is the approximate memory utilization for 1080p streams on dGPU? Why am I getting following waring when running deepstream app for first time? 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 What should I do if I want to set a self event to control the record? DeepStream is only a SDK which provide HW accelerated APIs for video inferencing, video decoding, video processing, etc. smart-rec-cache= because recording might be started while the same session is actively recording for another source. In existing deepstream-test5-app only RTSP sources are enabled for smart record. How can I verify that CUDA was installed correctly? See NVIDIA-AI-IOT Github page for some sample DeepStream reference apps. The graph below shows a typical video analytic application starting from input video to outputting insights. Details are available in the Readme First section of this document. Can Gst-nvinferserver support inference on multiple GPUs? How do I obtain individual sources after batched inferencing/processing? # seconds before the current time to start recording. Whats the throughput of H.264 and H.265 decode on dGPU (Tesla)? See the deepstream_source_bin.c for more details on using this module. During container builder installing graphs, sometimes there are unexpected errors happening while downloading manifests or extensions from registry. Produce cloud-to-device event messages, 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), Custom Model - Triton Inference Server Configurations, Custom Model - Custom Parser - Yolov2-coco, Custom Model - Custom Parser - Tiny Yolov2, Custom Model - Custom Parser - EfficientDet, Custom Model - Sample Custom Parser - Resnet - Frcnn - Yolov3 - SSD, Custom Model - Sample Custom Parser - SSD, Custom Model - Sample Custom Parser - FasterRCNN, Custom Model - Sample Custom Parser - Yolov4. By default, the current directory is used. How can I run the DeepStream sample application in debug mode? On Jetson platform, I get same output when multiple Jpeg images are fed to nvv4l2decoder using multifilesrc plugin. The following minimum json message from the server is expected to trigger the Start/Stop of smart record. How can I construct the DeepStream GStreamer pipeline? The following minimum json message from the server is expected to trigger the Start/Stop of smart record. How to fix cannot allocate memory in static TLS block error? Native TensorRT inference is performed using Gst-nvinfer plugin and inference using Triton is done using Gst-nvinferserver plugin. Gst-nvdewarper plugin can dewarp the image from a fisheye or 360 degree camera. How can I interpret frames per second (FPS) display information on console? This is the time interval in seconds for SR start / stop events generation. Why do I see the below Error while processing H265 RTSP stream? For creating visualization artifacts such as bounding boxes, segmentation masks, labels there is a visualization plugin called Gst-nvdsosd. Can I stop it before that duration ends? In this app, developers will learn how to build a GStreamer pipeline using various DeepStream plugins. 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. 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. Why do I observe a lot of buffers being dropped When running deepstream-nvdsanalytics-test application on Jetson Nano ? DeepStream applications can be orchestrated on the edge using Kubernetes on GPU. How to find out the maximum number of streams supported on given platform? Do I need to add a callback function or something else? The next step is to batch the frames for optimal inference performance. What are different Memory types supported on Jetson and dGPU? What is the difference between DeepStream classification and Triton classification? Developers can start with deepstream-test1 which is almost like a DeepStream hello world. The plugin for decode is called Gst-nvvideo4linux2. Last updated on Feb 02, 2023. Why does the deepstream-nvof-test application show the error message Device Does NOT support Optical Flow Functionality ? Based on the event, these cached frames are encapsulated under the chosen container to generate the recorded video. Any change to a record is instantly synced across all connected clients. It expects encoded frames which will be muxed and saved to the file. 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). 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. In smart record, encoded frames are cached to save on CPU memory. This means, the recording cannot be started until we have an Iframe. How to handle operations not supported by Triton Inference Server? In the deepstream-test5-app, to demonstrate the use case smart record Start / Stop events are generated every interval second. Why is that? Copyright 2023, NVIDIA. Ive already run the program with multi streams input while theres another question Id like to ask. Why do I encounter such error while running Deepstream pipeline memory type configured and i/p buffer mismatch ip_surf 0 muxer 3? Where can I find the DeepStream sample applications? How to set camera calibration parameters in Dewarper plugin config file? This app is fully configurable - it allows users to configure any type and number of sources. What is maximum duration of data I can cache as history for smart record? Can Gst-nvinfereserver (DeepSream Triton plugin) run on Nano platform? For deployment at scale, you can build cloud-native, DeepStream applications using containers and orchestrate it all with Kubernetes platforms. In existing deepstream-test5-app only RTSP sources are enabled for smart record. Why does the RTSP source used in gst-launch pipeline through uridecodebin show blank screen followed by the error -. There are two ways in which smart record events can be generated - either through local events or through cloud messages. See the deepstream_source_bin.c for more details on using this module. 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. Copyright 2020-2021, NVIDIA. A callback function can be setup to get the information of recorded video once recording stops. Configure DeepStream application to produce events, 4. This function releases the resources previously allocated by NvDsSRCreate(). This button displays the currently selected search type. 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. deepstream-test5 sample application will be used for demonstrating SVR. How can I determine the reason? And once it happens, container builder may return errors again and again. Revision 6f7835e1. 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. How can I run the DeepStream sample application in debug mode? This recording happens in parallel to the inference pipeline running over the feed. GstBin which is the recordbin of NvDsSRContext must be added to the pipeline. Here startTime specifies the seconds before the current time and duration specifies the seconds after the start of recording. What types of input streams does DeepStream 6.2 support? After inference, the next step could involve tracking the object. To enable smart record in deepstream-test5-app set the following under [sourceX] group: smart-record=<1/2> Call NvDsSRDestroy() to free resources allocated by this function. Why am I getting ImportError: No module named google.protobuf.internal when running convert_to_uff.py on Jetson AGX Xavier? When executing a graph, the execution ends immediately with the warning No system specified. There are two ways in which smart record events can be generated - either through local events or through cloud messages. Can users set different model repos when running multiple Triton models in single process? Optimum memory management with zero-memory copy between plugins and the use of various accelerators ensure the highest performance. When running live camera streams even for few or single stream, also output looks jittery? Does deepstream Smart Video Record support multi streams? Thanks for ur reply! DeepStream is a streaming analytic toolkit to build AI-powered applications. 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. What happens if unsupported fields are added into each section of the YAML file? By default, Smart_Record is the prefix in case this field is not set. How to extend this to work with multiple sources? smart-rec-duration= 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. Why do I see the below Error while processing H265 RTSP stream? smart-rec-file-prefix= In the deepstream-test5-app, to demonstrate the use case smart record Start / Stop events are generated every interval second. The size of the video cache can be configured per use case. What is the approximate memory utilization for 1080p streams on dGPU? smart-rec-start-time= Thanks again. 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. 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 an optimized graph architecture built using the open source GStreamer framework. To start with, lets prepare a RTSP stream using DeepStream. What should I do if I want to set a self event to control the record? How to find out the maximum number of streams supported on given platform? How to find the performance bottleneck in DeepStream? How can I check GPU and memory utilization on a dGPU system? This application is covered in greater detail in the DeepStream Reference Application - deepstream-app chapter. DeepStream is a streaming analytic toolkit to build AI-powered applications. How to minimize FPS jitter with DS application while using RTSP Camera Streams? Prefix of file name for generated video. Container Contents How can I verify that CUDA was installed correctly? This function releases the resources previously allocated by NvDsSRCreate(). 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. 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. I started the record with a set duration. Add this bin after the parser element in the pipeline. This function creates the instance of smart record and returns the pointer to an allocated NvDsSRContext. Currently, there is no support for overlapping smart record. In the list of local_copy_files, if src is a folder, Any difference for dst ends with / or not? Therefore, a total of startTime + duration seconds of data will be recorded. Edge AI device (AGX Xavier) is used for this demonstration. See the C/C++ Sample Apps Source Details and Python Sample Apps and Bindings Source Details sections to learn more about the available apps. 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? Dieser Button zeigt den derzeit ausgewhlten Suchtyp an. DeepStream provides building blocks in the form of GStreamer plugins that can be used to construct an efficient video analytic pipeline. How can I check GPU and memory utilization on a dGPU system? Observing video and/or audio stutter (low framerate), 2. 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. If you dont have any RTSP cameras, you may pull DeepStream demo container . A callback function can be setup to get the information of recorded audio/video once recording stops. What are the recommended values for. Can Gst-nvinfereserver (DeepSream Triton plugin) run on Nano platform? Freelancer Gst-nvvideoconvert plugin can perform color format conversion on the frame. The registry failed to perform an operation and reported an error message. Why I cannot run WebSocket Streaming with Composer? . What is batch-size differences for a single model in different config files (. 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. 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. This is currently supported for Kafka. My DeepStream performance is lower than expected. For example, the record starts when theres an object being detected in the visual field. 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. If you are familiar with gstreamer programming, it is very easy to add multiple streams. Latency Measurement API Usage guide for audio, 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 Library YAML File Configuration Specifications, DS-Riva TTS Yaml File Configuration Specifications, Gst-nvdspostprocess File Configuration Specifications, Gst-nvds3dfilter properties Specifications, 3. smart-rec-video-cache= The performance benchmark is also run using this application. The end-to-end application is called deepstream-app. What is the approximate memory utilization for 1080p streams on dGPU? If current time is t1, content from t1 - startTime to t1 + duration will be saved to file. The size of the video cache can be configured per use case. The first frame in the cache may not be an Iframe, so, some frames from the cache are dropped to fulfil this condition. In the main control section, why is the field container_builder required? What types of input streams does DeepStream 5.1 support? Users can also select the type of networks to run inference. Records are the main building blocks of deepstream's data-sync capabilities. Why am I getting ImportError: No module named google.protobuf.internal when running convert_to_uff.py on Jetson AGX Xavier? deepstream smart record. Learn More. My DeepStream performance is lower than expected. DeepStream is only a SDK which provide HW accelerated APIs for video inferencing, video decoding, video processing, etc. Sink plugin shall not move asynchronously to PAUSED, 5. There are several built-in reference trackers in the SDK, ranging from high performance to high accuracy. 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? 5.1 Adding GstMeta to buffers before nvstreammux. 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. Modifications made: (1) based on the results of the real-time video analysis, and: (2) by the application user through external input. The params structure must be filled with initialization parameters required to create the instance. Produce device-to-cloud event messages, 5. 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. . How can I check GPU and memory utilization on a dGPU system? This is a good reference application to start learning the capabilities of DeepStream. How can I display graphical output remotely over VNC? GstBin which is the recordbin of NvDsSRContext must be added to the pipeline. In case duration is set to zero, recording will be stopped after defaultDuration seconds set in NvDsSRCreate(). Why does the RTSP source used in gst-launch pipeline through uridecodebin show blank screen followed by the error -. Why do I observe a lot of buffers being dropped when running deepstream-nvdsanalytics-test application on Jetson Nano ? Streaming data can come over the network through RTSP or from a local file system or from a camera directly. How can I construct the DeepStream GStreamer pipeline? How to measure pipeline latency if pipeline contains open source components. Changes are persisted and synced across all connected devices in milliseconds. At the bottom are the different hardware engines that are utilized throughout the application. 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. You can design your own application functions. What are the sample pipelines for nvstreamdemux? 1. Why does the RTSP source used in gst-launch pipeline through uridecodebin show blank screen followed by the error -. 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. 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. See the gst-nvdssr.h header file for more details. Surely it can. How can I interpret frames per second (FPS) display information on console? An example of each: This causes the duration of the generated video to be less than the value specified. What if I dont set video cache size for smart record? 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. Does smart record module work with local video streams? 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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