deepstream smart record

Bei Erweiterung erscheint eine Liste mit Suchoptionen, die die Sucheingaben so ndern, dass sie zur aktuellen Auswahl passen. Refer to the deepstream-testsr sample application for more details on usage. Jetson devices) to follow the demonstration. Path of directory to save the recorded file. How do I configure the pipeline to get NTP timestamps? Users can also select the type of networks to run inference. They are atomic bits of JSON data that can be manipulated and observed. Why do I observe: A lot of buffers are being dropped. What is the difference between DeepStream classification and Triton classification? In the deepstream-test5-app, to demonstrate the use case smart record Start / Stop events are generated every interval second. Python is easy to use and widely adopted by data scientists and deep learning experts when creating AI models. How does secondary GIE crop and resize objects? What is the official DeepStream Docker image and where do I get it? It uses same caching parameters and implementation as video. What are the recommended values for. To learn more about deployment with dockers, see the Docker container chapter. 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. Here startTime specifies the seconds before the current time and duration specifies the seconds after the start of recording. 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. Why does the deepstream-nvof-test application show the error message Device Does NOT support Optical Flow Functionality if run with NVIDIA Tesla P4 or NVIDIA Jetson Nano, Jetson TX2, or Jetson TX1? What trackers are included in DeepStream and which one should I choose for my application? What should I do if I want to set a self event to control the record? This function releases the resources previously allocated by NvDsSRCreate(). The end-to-end application is called deepstream-app. Ive already run the program with multi streams input while theres another question Id like to ask. There are two ways in which smart record events can be generated either through local events or through cloud messages. Gst-nvdewarper plugin can dewarp the image from a fisheye or 360 degree camera. What if I dont set video cache size for smart record? How to find the performance bottleneck in DeepStream? Following are the default values of configuration parameters: Following fields can be used under [sourceX] groups to configure these parameters. How can I determine the reason? 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 params structure must be filled with initialization parameters required to create the instance. In SafeFac a set of cameras installed on the assembly line are used to captu. . 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 In existing deepstream-test5-app only RTSP sources are enabled for smart record. 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. For example, the record starts when theres an object being detected in the visual field. In existing deepstream-test5-app only RTSP sources are enabled for smart record. What is maximum duration of data I can cache as history for smart record? The next step is to batch the frames for optimal inference performance. 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 smart record module work with local video streams? Creating records Abstract This work presents SafeFac, an intelligent camera-based system for managing the safety of factory environments. Can I stop it before that duration ends? How to get camera calibration parameters for usage in Dewarper plugin? Revision 6f7835e1. DeepStream provides building blocks in the form of GStreamer plugins that can be used to construct an efficient video analytic pipeline. Can Gst-nvinferserver support inference on multiple GPUs? Uncategorized. 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? Records are the main building blocks of deepstream's data-sync capabilities. Any data that is needed during callback function can be passed as userData. How to find out the maximum number of streams supported on given platform? If you set smart-record=2, this will enable smart record through cloud messages as well as local events with default configurations. After inference, the next step could involve tracking the object. This parameter will increase the overall memory usages of the application. 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. Are multiple parallel records on same source supported? 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. Why is that? 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. smart-rec-file-prefix= What are different Memory types supported on Jetson and dGPU? Yes, on both accounts. In the main control section, why is the field container_builder required? When executing a graph, the execution ends immediately with the warning No system specified. To activate this functionality, populate and enable the following block in the application configuration file: While the application is running, use a Kafka broker to publish the above JSON messages on topics in the subscribe-topic-list to start and stop recording. How can I display graphical output remotely over VNC? 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. Ive configured smart-record=2 as the document said, using local event to start or end video-recording. Below diagram shows the smart record architecture: This module provides the following APIs. Learn More. On Jetson platform, I observe lower FPS output when screen goes idle. Surely it can. Recording also can be triggered by JSON messages received from the cloud. Hardware Platform (Jetson / CPU) smart-rec-video-cache= When deepstream-app is run in loop on Jetson AGX Xavier using while true; do deepstream-app -c ; done;, after a few iterations I see low FPS for certain iterations. Why do I see the below Error while processing H265 RTSP stream? Optimizing nvstreammux config for low-latency vs Compute, 6. Thanks again. 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 . 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. 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? To enable smart record in deepstream-test5-app set the following under [sourceX] group: smart-record=<1/2> because recording might be started while the same session is actively recording for another source. Why am I getting following waring when running deepstream app for first time? Issue Type( questions). deepstream-testsr is to show the usage of smart recording interfaces. smart-rec-dir-path= DeepStream is only a SDK which provide HW accelerated APIs for video inferencing, video decoding, video processing, etc. Optimum memory management with zero-memory copy between plugins and the use of various accelerators ensure the highest performance. Can Gst-nvinferserver support inference on multiple GPUs? Can Gst-nvinfereserver (DeepSream Triton plugin) run on Nano platform? To learn more about these security features, read the IoT chapter. The source code for this application is available in /opt/nvidia/deepstream/deepstream-6.0/sources/apps/sample_apps/deepstream-app. Can Gst-nvinfereserver (DeepSream Triton plugin) run on Nano platform? GstBin which is the recordbin of NvDsSRContext must be added to the pipeline. Typeerror hoverintent uncaught typeerror object object method jobs I want to Hire I want to Work. For unique names every source must be provided with a unique prefix. AGX Xavier consuming events from Kafka Cluster to trigger SVR. Why is that? deepstream smart record. How does secondary GIE crop and resize objects? 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. Last updated on Sep 10, 2021. Can users set different model repos when running multiple Triton models in single process? smart-rec-start-time= My component is getting registered as an abstract type. Does smart record module work with local video streams? These plugins use GPU or VIC (vision image compositor). How to fix cannot allocate memory in static TLS block error? Sink plugin shall not move asynchronously to PAUSED, 5. If you set smart-record=2, this will enable smart record through cloud messages as well as local events with default configurations. Currently, there is no support for overlapping smart record. How to tune GPU memory for Tensorflow models? At the bottom are the different hardware engines that are utilized throughout the application. That means smart record Start/Stop events are generated every 10 seconds through local events. Nothing to do. '/usr/lib/aarch64-linux-gnu/gstreamer-1.0/libgstlibav.so': # Configure this group to enable cloud message consumer. Why do I observe: A lot of buffers are being dropped. Why do I encounter such error while running Deepstream pipeline memory type configured and i/p buffer mismatch ip_surf 0 muxer 3? The deepstream-test2 progresses from test1 and cascades secondary network to the primary network. Observing video and/or audio stutter (low framerate), 2. 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. The size of the video cache can be configured per use case. How can I get more information on why the operation failed? smart-rec-interval= There are two ways in which smart record events can be generated - either through local events or through cloud messages. This function starts writing the cached video data to a file. On AGX Xavier, we first find the deepstream-app-test5 directory and create the sample application: If you are not sure which CUDA_VER you have, check */usr/local/*. Why am I getting ImportError: No module named google.protobuf.internal when running convert_to_uff.py on Jetson AGX Xavier? Once frames are batched, it is sent for inference. Why do I encounter such error while running Deepstream pipeline memory type configured and i/p buffer mismatch ip_surf 0 muxer 3? Powered by Discourse, best viewed with JavaScript enabled. 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 video cache size must be greater than the N. smart-rec-default-duration= 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. See the gst-nvdssr.h header file for more details. . What are different Memory types supported on Jetson and dGPU? For sending metadata to the cloud, DeepStream uses Gst-nvmsgconv and Gst-nvmsgbroker plugin. Freelancer 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= What is batch-size differences for a single model in different config files (. Can Gst-nvinferserver support models cross processes or containers? There are two ways in which smart record events can be generated either through local events or through cloud messages. What is the difference between DeepStream classification and Triton classification? How to extend this to work with multiple sources? On Jetson platform, I get same output when multiple Jpeg images are fed to nvv4l2decoder using multifilesrc plugin. It will not conflict to any other functions in your application. For the output, users can select between rendering on screen, saving the output file, or streaming the video out over RTSP. Modifications made: (1) based on the results of the real-time video analysis, and: (2) by the application user through external input. 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. Using records Records are requested using client.record.getRecord (name). # default duration of recording in seconds. 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. How to set camera calibration parameters in Dewarper plugin config file? The params structure must be filled with initialization parameters required to create the instance. DeepStream applications can be created without coding using the Graph Composer. Can Jetson platform support the same features as dGPU for Triton plugin? Can Jetson platform support the same features as dGPU for Triton plugin? How to handle operations not supported by Triton Inference Server? Can I record the video with bounding boxes and other information overlaid? # seconds before the current time to start recording. How can I check GPU and memory utilization on a dGPU system? In case a Stop event is not generated. This function creates the instance of smart record and returns the pointer to an allocated NvDsSRContext. Why do I see tracker_confidence value as -0.1.? Why does my image look distorted if I wrap my cudaMalloced memory into NvBufSurface and provide to NvBufSurfTransform? How to fix cannot allocate memory in static TLS block error? This function stops the previously started recording. London, awarded World book of records What types of input streams does DeepStream 6.0 support? How to handle operations not supported by Triton Inference Server? The graph below shows a typical video analytic application starting from input video to outputting insights. This module provides the following APIs. Does DeepStream Support 10 Bit Video streams? DeepStream builds on top of several NVIDIA libraries from the CUDA-X stack such as CUDA, TensorRT, NVIDIA Triton Inference server and multimedia libraries. How to tune GPU memory for Tensorflow models? The inference can use the GPU or DLA (Deep Learning accelerator) for Jetson AGX Xavier and Xavier NX. , awarded WBR. DeepStream is a streaming analytic toolkit to build AI-powered applications. The pre-processing can be image dewarping or color space conversion. Are multiple parallel records on same source supported? An example of each: Why I cannot run WebSocket Streaming with Composer? What are the sample pipelines for nvstreamdemux? This function creates the instance of smart record and returns the pointer to an allocated NvDsSRContext. Any data that is needed during callback function can be passed as userData.

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