deepstream smart record

# Use this option if message has sensor name as id instead of index (0,1,2 etc.). This parameter will ensure the recording is stopped after a predefined default duration. mp4, mkv), Troubleshooting in NvDCF Parameter Tuning, Frequent tracking ID changes although no nearby objects, Frequent tracking ID switches to the nearby objects, Error while running ONNX / Explicit batch dimension networks, DeepStream plugins failing to load without DISPLAY variable set when launching DS dockers, 1. Are multiple parallel records on same source supported? How do I obtain individual sources after batched inferencing/processing? Path of directory to save the recorded file. To start with, lets prepare a RTSP stream using DeepStream. Does smart record module work with local video streams? This app is fully configurable - it allows users to configure any type and number of sources. The latest release of #NVIDIADeepStream SDK version 6.2 delivers powerful enhancements such as state-of-the-art multi-object trackers, support for lidar and Why am I getting following waring when running deepstream app for first time? For unique names every source must be provided with a unique prefix. What happens if unsupported fields are added into each section of the YAML file? Smart video record is used for event (local or cloud) based recording of original data feed. These plugins use GPU or VIC (vision image compositor). Thanks again. Powered by Discourse, best viewed with JavaScript enabled. How can I interpret frames per second (FPS) display information on console? Details are available in the Readme First section of this document. If you dont have any RTSP cameras, you may pull DeepStream demo container . That means smart record Start/Stop events are generated every 10 seconds through local events. Why am I getting ImportError: No module named google.protobuf.internal when running convert_to_uff.py on Jetson AGX Xavier? userData received in that callback is the one which is passed during NvDsSRStart(). Dieser Button zeigt den derzeit ausgewhlten Suchtyp an. When executing a graph, the execution ends immediately with the warning No system specified. For the output, users can select between rendering on screen, saving the output file, or streaming the video out over RTSP. Why is that? To learn more about bi-directional capabilities, see the Bidirectional Messaging section in this guide. There are two ways in which smart record events can be generated either through local events or through cloud messages. 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 are the sample pipelines for nvstreamdemux? Batching is done using the Gst-nvstreammux plugin. How to tune GPU memory for Tensorflow models? 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. Why is the Gst-nvstreammux plugin required in DeepStream 4.0+? 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. The pre-processing can be image dewarping or color space conversion. 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. smart-rec-interval= The core function of DSL is to provide a simple and intuitive API for building, playing, and dynamically modifying NVIDIA DeepStream Pipelines. The params structure must be filled with initialization parameters required to create the instance. What are the recommended values for. recordbin of NvDsSRContext is smart record bin which must be added to the pipeline. Search for jobs related to Freelancer projects vlsi embedded or hire on the world's largest freelancing marketplace with 22m+ jobs. [When user expect to not use a Display window], My component is not visible in the composer even after registering the extension with registry. Why is that? Surely it can. The following minimum json message from the server is expected to trigger the Start/Stop of smart record. In the main control section, why is the field container_builder required? DeepStream applications can be orchestrated on the edge using Kubernetes on GPU. In this documentation, we will go through, producing events to Kafka Cluster from AGX Xavier during DeepStream runtime, and. 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 . Why is that? This parameter will increase the overall memory usages of the application. However, when configuring smart-record for multiple sources the duration of the videos are no longer consistent (different duration for each video). do you need to pass different session ids when recording from different sources? This function releases the resources previously allocated by NvDsSRCreate(). DeepStream is only a SDK which provide HW accelerated APIs for video inferencing, video decoding, video processing, etc. Why am I getting following waring when running deepstream app for first time? Can I record the video with bounding boxes and other information overlaid? smart-rec-file-prefix= '/usr/lib/aarch64-linux-gnu/gstreamer-1.0/libgstlibav.so': # Configure this group to enable cloud message consumer. This paper presents DeepStream, a novel data stream temporal clustering algorithm that dynamically detects sequential and overlapping clusters. London, awarded World book of records How can I determine the reason? Whats the throughput of H.264 and H.265 decode on dGPU (Tesla)? How do I obtain individual sources after batched inferencing/processing? To trigger SVR, AGX Xavier expects to receive formatted JSON messages from Kafka server: To implement custom logic to produce the messages, we write trigger-svr.py. 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? smart-rec-file-prefix= Prefix of file name for generated stream. How to handle operations not supported by Triton Inference Server? Only the data feed with events of importance is recorded instead of always saving the whole feed. How can I display graphical output remotely over VNC? If current time is t1, content from t1 - startTime to t1 + duration will be saved to file. In existing deepstream-test5-app only RTSP sources are enabled for smart record. What should I do if I want to set a self event to control the record? . Can I stop it before that duration ends? Can users set different model repos when running multiple Triton models in single process? 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. Native TensorRT inference is performed using Gst-nvinfer plugin and inference using Triton is done using Gst-nvinferserver plugin. In case a Stop event is not generated. 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. 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. Also included are the source code for these applications. What is the GPU requirement for running the Composer? 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. By default, the current directory is used. Refer to the deepstream-testsr sample application for more details on usage. For unique names every source must be provided with a unique prefix. Here, start time of recording is the number of seconds earlier to the current time to start the recording. The message format is as follows: Receiving and processing such messages from the cloud is demonstrated in the deepstream-test5 sample application. Why does my image look distorted if I wrap my cudaMalloced memory into NvBufSurface and provide to NvBufSurfTransform? Ive already run the program with multi streams input while theres another question Id like to ask. In smart record, encoded frames are cached to save on CPU memory. Why do some caffemodels fail to build after upgrading to DeepStream 6.0? What is the correct way to do this? The size of the video cache can be configured per use case. To enable smart record in deepstream-test5-app set the following under [sourceX] group: smart-record=<1/2> How to use the OSS version of the TensorRT plugins in DeepStream? Smart Video Record DeepStream 6.1.1 Release documentation, DeepStream Reference Application - deepstream-app DeepStream 6.1.1 Release documentation. How can I check GPU and memory utilization on a dGPU system? 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. Recording also can be triggered by JSON messages received from the cloud. Developers can start with deepstream-test1 which is almost like a DeepStream hello world. This recording happens in parallel to the inference pipeline running over the feed. userData received in that callback is the one which is passed during NvDsSRStart(). 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). Nothing to do. What is the difference between batch-size of nvstreammux and nvinfer? Why do I see the below Error while processing H265 RTSP stream? The first frame in the cache may not be an Iframe, so, some frames from the cache are dropped to fulfil this condition. To get started with Python, see the Python Sample Apps and Bindings Source Details in this guide and DeepStream Python in the DeepStream Python API Guide. When to start smart recording and when to stop smart recording depend on your design. GstBin which is the recordbin of NvDsSRContext must be added to the pipeline. deepstream smart record. How can I verify that CUDA was installed correctly? This function creates the instance of smart record and returns the pointer to an allocated NvDsSRContext. 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. It returns the session id which later can be used in NvDsSRStop() to stop the corresponding recording. Call NvDsSRDestroy() to free resources allocated by this function. What types of input streams does DeepStream 5.1 support? How to measure pipeline latency if pipeline contains open source components. This function creates the instance of smart record and returns the pointer to an allocated NvDsSRContext. MP4 and MKV containers are supported. 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 deepstream Smart Video Record support multi streams? Here startTime specifies the seconds before the current time and duration specifies the seconds after the start of recording. How can I verify that CUDA was installed correctly? What is the official DeepStream Docker image and where do I get it? How can I specify RTSP streaming of DeepStream output? Ive configured smart-record=2 as the document said, using local event to start or end video-recording. # seconds before the current time to start recording. You may use other devices (e.g. Following are the default values of configuration parameters: Following fields can be used under [sourceX] groups to configure these parameters. Why cant I paste a component after copied one? Where can I find the DeepStream sample applications? Copyright 2021, Season. 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? At the bottom are the different hardware engines that are utilized throughout the application. The size of the video cache can be configured per use case. Why am I getting following warning when running deepstream app for first time? 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. Can Jetson platform support the same features as dGPU for Triton plugin? . Can Gst-nvinferserver support models cross processes or containers? Abstract This work presents SafeFac, an intelligent camera-based system for managing the safety of factory environments. What are the sample pipelines for nvstreamdemux? Can Jetson platform support the same features as dGPU for Triton plugin? Why am I getting ImportError: No module named google.protobuf.internal when running convert_to_uff.py on Jetson AGX Xavier? Why I cannot run WebSocket Streaming with Composer? deepstream smart record. How can I determine whether X11 is running? See NVIDIA-AI-IOT Github page for some sample DeepStream reference apps.

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