deepstream smart recorddeepstream smart record

The graph below shows a typical video analytic application starting from input video to outputting insights. DeepStream pipelines can be constructed using Gst-Python, the GStreamer frameworks Python bindings. 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? By performing all the compute heavy operations in a dedicated accelerator, DeepStream can achieve highest performance for video analytic applications. Where can I find the DeepStream sample applications? AGX Xavier consuming events from Kafka Cluster to trigger SVR. This application will work for all AI models with detailed instructions provided in individual READMEs. It uses same caching parameters and implementation as video. 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. Only the data feed with events of importance is recorded instead of always saving the whole feed. How to find out the maximum number of streams supported on given platform? Sink plugin shall not move asynchronously to PAUSED, 5. 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. There are two ways in which smart record events can be generated - either through local events or through cloud messages. Native TensorRT inference is performed using Gst-nvinfer plugin and inference using Triton is done using Gst-nvinferserver plugin. Lets go back to AGX Xavier for next step. What is the GPU requirement for running the Composer? When executing a graph, the execution ends immediately with the warning No system specified. This function stops the previously started recording. GstBin which is the recordbin of NvDsSRContext must be added to the pipeline. One of the key capabilities of DeepStream is secure bi-directional communication between edge and cloud. Why do some caffemodels fail to build after upgrading to DeepStream 6.2? If current time is t1, content from t1 - startTime to t1 + duration will be saved to file. By default, the current directory is used. On Jetson platform, I get same output when multiple Jpeg images are fed to nvv4l2decoder using multifilesrc plugin. A Record is an arbitrary JSON data structure that can be created, retrieved, updated, deleted and listened to. It will not conflict to any other functions in your application. In smart record, encoded frames are cached to save on CPU memory. userData received in that callback is the one which is passed during NvDsSRStart(). 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. My DeepStream performance is lower than expected. Running without an X server (applicable for applications supporting RTSP streaming output), DeepStream Triton Inference Server Usage Guidelines, Creating custom DeepStream docker for dGPU using DeepStreamSDK package, Creating custom DeepStream docker for Jetson using DeepStreamSDK package, Recommended Minimal L4T Setup necessary to run the new docker images on Jetson, Python Sample Apps and Bindings Source Details, Python Bindings and Application Development, DeepStream Reference Application - deepstream-app, Expected Output for the DeepStream Reference Application (deepstream-app), DeepStream Reference Application - deepstream-test5 app, IoT Protocols supported and cloud configuration, Sensor Provisioning Support over REST API (Runtime sensor add/remove capability), DeepStream Reference Application - deepstream-audio app, DeepStream Audio Reference Application Architecture and Sample Graphs, DeepStream Reference Application - deepstream-nmos app, Using Easy-NMOS for NMOS Registry and Controller, 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, Components Common Configuration Specifications, libnvds_3d_dataloader_realsense Configuration Specifications, libnvds_3d_depth2point_datafilter Configuration Specifications, libnvds_3d_gl_datarender Configuration Specifications, libnvds_3d_depth_datasource Depth file source Specific Configuration Specifications, 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), Sensor provisioning with deepstream-test5-app, Callback implementation for REST API endpoints, DeepStream 3D Action Recognition App Configuration Specifications, Custom sequence preprocess lib user settings, Build Custom sequence preprocess lib and application From Source, Depth Color Capture to 2D Rendering Pipeline Overview, Depth Color Capture to 3D Point Cloud Processing and Rendering, Run RealSense Camera for Depth Capture and 2D Rendering Examples, Run 3D Depth Capture, Point Cloud filter, and 3D Points Rendering Examples, DeepStream 3D Depth Camera App Configuration Specifications, DS3D Custom Components Configuration Specifications, Lidar Point Cloud to 3D Point Cloud Processing and Rendering, Run Lidar Point Cloud Data File reader, Point Cloud Inferencing filter, and Point Cloud 3D rendering and data dump Examples, DeepStream Lidar Inference App Configuration Specifications, Networked Media Open Specifications (NMOS) in DeepStream, DeepStream Can Orientation App Configuration Specifications, Application Migration to DeepStream 6.2 from DeepStream 6.1, Running DeepStream 6.1 compiled Apps in DeepStream 6.2, Compiling DeepStream 6.1 Apps in DeepStream 6.2, 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 Configuration File Specifications, Tensor Metadata Output for Downstream Plugins, NvDsTracker API for Low-Level Tracker Library, Unified Tracker Architecture for Composable Multi-Object Tracker, Low-Level Tracker Comparisons and Tradeoffs, Setup and Visualization of Tracker Sample Pipelines, How to Implement a Custom Low-Level Tracker Library, NvStreamMux Tuning Solutions for specific use cases, 3.1. To make it easier to get started, DeepStream ships with several reference applications in both in C/C++ and in Python. What are the sample pipelines for nvstreamdemux? How to find the performance bottleneck in DeepStream? Creating records Why is that? 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/*. DeepStream | Procurement Software What is the difference between DeepStream classification and Triton classification? NVIDIA Embedded on LinkedIn: Meet the Omnivore: Ph.D. Student Lets They will take video from a file, decode, batch and then do object detection and then finally render the boxes on the screen. because recording might be started while the same session is actively recording for another source. Can Gst-nvinferserver support models cross processes or containers? There are deepstream-app sample codes to show how to implement smart recording with multiple streams. Can users set different model repos when running multiple Triton models in single process? Recording also can be triggered by JSON messages received from the cloud. Read more about DeepStream here. Why cant I paste a component after copied one? To enable smart record in deepstream-test5-app set the following under [sourceX] group: smart-record=<1/2> Why do I see the below Error while processing H265 RTSP stream? For the output, users can select between rendering on screen, saving the output file, or streaming the video out over RTSP. That means smart record Start/Stop events are generated every 10 seconds through local events. Python is easy to use and widely adopted by data scientists and deep learning experts when creating AI models. For example, the record starts when theres an object being detected in the visual field. There are several built-in broker protocols such as Kafka, MQTT, AMQP and Azure IoT. Last updated on Feb 02, 2023. The first frame in the cache may not be an Iframe, so, some frames from the cache are dropped to fulfil this condition. What is the difference between DeepStream classification and Triton classification? Why is that? This function starts writing the cached audio/video data to a file. 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. Observing video and/or audio stutter (low framerate), 2. Here, start time of recording is the number of seconds earlier to the current time to start the recording. This is currently supported for Kafka. If you dont have any RTSP cameras, you may pull DeepStream demo container . 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. . Why do I see tracker_confidence value as -0.1.? It's free to sign up and bid on jobs. How do I configure the pipeline to get NTP timestamps? How to fix cannot allocate memory in static TLS block error? Please make sure you understand how to migrate your DeepStream 5.1 custom models to DeepStream 6.0 before you start. This recording happens in parallel to the inference pipeline running over the feed. The streams are captured using the CPU. How can I check GPU and memory utilization on a dGPU system? What should I do if I want to set a self event to control the record? smart-rec-file-prefix= 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 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 is maximum duration of data I can cache as history for smart record? 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= Why do some caffemodels fail to build after upgrading to DeepStream 6.0? To learn more about these security features, read the IoT chapter. 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 DeepStream application to produce events, 4. In existing deepstream-test5-app only RTSP sources are enabled for smart record. DeepStream is a streaming analytic toolkit to build AI-powered applications. DeepStream applications can be orchestrated on the edge using Kubernetes on GPU. How do I configure the pipeline to get NTP timestamps? What are the recommended values for. Does Gst-nvinferserver support Triton multiple instance groups? Why do I observe: A lot of buffers are being dropped. What is the difference between DeepStream classification and Triton classification? Can Gst-nvinferserver support inference on multiple GPUs? What if I dont set video cache size for smart record? Object tracking is performed using the Gst-nvtracker plugin. What if I dont set default duration for smart record? Smart Video Record DeepStream 6.1.1 Release documentation, DeepStream Reference Application - deepstream-app DeepStream 6.1.1 Release documentation. Based on the event, these cached frames are encapsulated under the chosen container to generate the recorded video. See the deepstream_source_bin.c for more details on using this module. . Can Jetson platform support the same features as dGPU for Triton plugin? Why am I getting following waring when running deepstream app for first time? Produce device-to-cloud event messages, 5. Does Gst-nvinferserver support Triton multiple instance groups? See the gst-nvdssr.h header file for more details. The source code for this application is available in /opt/nvidia/deepstream/deepstream-6.0/sources/apps/sample_apps/deepstream-app. It expects encoded frames which will be muxed and saved to the file. This causes the duration of the generated video to be less than the value specified. How to find the performance bottleneck in DeepStream? Also included are the source code for these applications. DeepStream Reference Application - deepstream-app DeepStream 6.1.1 Release documentation. Why am I getting ImportError: No module named google.protobuf.internal when running convert_to_uff.py on Jetson AGX Xavier? What are the recommended values for. Typeerror hoverintent uncaught typeerror object object method Jobs Why do I observe: A lot of buffers are being dropped. Why do I observe: A lot of buffers are being dropped. Here startTime specifies the seconds before the current time and duration specifies the seconds after the start of recording. Do I need to add a callback function or something else? Any data that is needed during callback function can be passed as userData. DeepStream applications can be created without coding using the Graph Composer. This causes the duration of the generated video to be less than the value specified. My component is getting registered as an abstract type. 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, start time of recording is the number of seconds earlier to the current time to start the recording. smart-rec-duration= SafeFac: : Video-based smart safety monitoring for preventing Can Gst-nvinferserver support inference on multiple GPUs? How to set camera calibration parameters in Dewarper plugin config file? Powered by Discourse, best viewed with JavaScript enabled. Why does the RTSP source used in gst-launch pipeline through uridecodebin show blank screen followed by the error -. A video cache is maintained so that recorded video has frames both before and after the event is generated. There is an option to configure a tracker. deepstream-test5 sample application will be used for demonstrating SVR. What types of input streams does DeepStream 5.1 support? 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. Any change to a record is instantly synced across all connected clients. Details are available in the Readme First section of this document. Uncategorized. Why I cannot run WebSocket Streaming with Composer? How does secondary GIE crop and resize objects? To start with, lets prepare a RTSP stream using DeepStream. How to enable TensorRT optimization for Tensorflow and ONNX models? Why do I observe a lot of buffers being dropped when running deepstream-nvdsanalytics-test application on Jetson Nano ? What types of input streams does DeepStream 6.2 support? How can I get more information on why the operation failed? What if I dont set default duration for smart record? In smart record, encoded frames are cached to save on CPU memory. Can Gst-nvinferserver support models cross processes or containers? What is the approximate memory utilization for 1080p streams on dGPU? # Use this option if message has sensor name as id instead of index (0,1,2 etc.). Cng Vic, Thu Tensorflow python framework errors impl notfounderror Surely it can. This parameter will increase the overall memory usages of the application. smart-rec-interval= # 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. Deepstream - The Berlin startup for a next-den realtime platform How can I determine the reason? In the deepstream-test5-app, to demonstrate the use case smart record Start / Stop events are generated every interval second. 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. With DeepStream you can trial our platform for free for 14-days, no commitment required. GstBin which is the recordbin of NvDsSRContext must be added to the pipeline. Does deepstream Smart Video Record support multi streams? smart-rec-dir-path= How can I determine whether X11 is running? In existing deepstream-test5-app only RTSP sources are enabled for smart record. To enable audio, a GStreamer element producing encoded audio bitstream must be linked to the asink pad of the smart record bin. What is the approximate memory utilization for 1080p streams on dGPU? 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 is a Gst-nvegltransform plugin required on a Jetson platform upstream from Gst-nveglglessink? How to use the OSS version of the TensorRT plugins in DeepStream? This is the time interval in seconds for SR start / stop events generation. What is the difference between batch-size of nvstreammux and nvinfer? How can I know which extensions synchronized to registry cache correspond to a specific repository? What is the difference between batch-size of nvstreammux and nvinfer? How to use the OSS version of the TensorRT plugins in DeepStream? They are atomic bits of JSON data that can be manipulated and observed. This app is fully configurable - it allows users to configure any type and number of sources. Last updated on Oct 27, 2021. Following are the default values of configuration parameters: Following fields can be used under [sourceX] groups to configure these parameters. Ive already run the program with multi streams input while theres another question Id like to ask. Deepstream 5 Support and Smart Record Issue #250 prominenceai June 29, 2022; medical bills on credit report hipaa violation letter; masajes con aceite de oliva para el cabello . deepstreamHub | sync persistent high-speed data between any device 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. 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. How do I configure the pipeline to get NTP timestamps? A callback function can be setup to get the information of recorded audio/video once recording stops. Yes, on both accounts. In existing deepstream-test5-app only RTSP sources are enabled for smart record. Why am I getting following warning when running deepstream app for first time? DeepStream builds on top of several NVIDIA libraries from the CUDA-X stack such as CUDA, TensorRT, NVIDIA Triton Inference server and multimedia libraries. Copyright 2020-2021, NVIDIA. Below diagram shows the smart record architecture: From DeepStream 6.0, Smart Record also supports audio. Duration of recording. Smart-rec-container=<0/1> Whats the throughput of H.264 and H.265 decode on dGPU (Tesla)? These 4 starter applications are available in both native C/C++ as well as in Python. How do I obtain individual sources after batched inferencing/processing? 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. Can Gst-nvinferserver support models across processes or containers? This is the time interval in seconds for SR start / stop events generation.
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