Custom broker adapters can be created. In this app, developers will learn how to build a GStreamer pipeline using various DeepStream plugins. . Modifications made: (1) based on the results of the real-time video analysis, and: (2) by the application user through external input. 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. Refer to the deepstream-testsr sample application for more details on usage. 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. Smart-rec-container=<0/1> smart-rec-dir-path= Details are available in the Readme First section of this document. What happens if unsupported fields are added into each section of the YAML file? Whats the throughput of H.264 and H.265 decode on dGPU (Tesla)? What is the difference between batch-size of nvstreammux and nvinfer? 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? Why is a Gst-nvegltransform plugin required on a Jetson platform upstream from Gst-nveglglessink? Copyright 2020-2021, NVIDIA. The params structure must be filled with initialization parameters required to create the instance. This function stops the previously started recording. By default, Smart_Record is the prefix in case this field is not set. Can I stop it before that duration ends? In case a Stop event is not generated. The message format is as follows: Receiving and processing such messages from the cloud is demonstrated in the deepstream-test5 sample application. The streams are captured using the CPU. This function starts writing the cached video data to a file. Last updated on Feb 02, 2023. 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 does my image look distorted if I wrap my cudaMalloced memory into NvBufSurface and provide to NvBufSurfTransform? By performing all the compute heavy operations in a dedicated accelerator, DeepStream can achieve highest performance for video analytic applications. How to enable TensorRT optimization for Tensorflow and ONNX models? 1 Like a7med.hish October 4, 2021, 12:18pm #7 In the deepstream-test5-app, to demonstrate the use case smart record Start / Stop events are generated every interval second. Why is that? Does DeepStream Support 10 Bit Video streams? 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 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. For the output, users can select between rendering on screen, saving the output file, or streaming the video out over RTSP. DeepStream applications can be deployed in containers using NVIDIA container Runtime. AGX Xavier consuming events from Kafka Cluster to trigger SVR. Tensor data is the raw tensor output that comes out after inference. Any change to a record is instantly synced across all connected clients. smart-rec-interval= What types of input streams does DeepStream 5.1 support? Why am I getting following warning when running deepstream app for first time? Currently, there is no support for overlapping smart record. Powered by Discourse, best viewed with JavaScript enabled. Only the data feed with events of importance is recorded instead of always saving the whole feed. This function stops the previously started recording. How to measure pipeline latency if pipeline contains open source components. My DeepStream performance is lower than expected. What is the approximate memory utilization for 1080p streams on dGPU? This function creates the instance of smart record and returns the pointer to an allocated NvDsSRContext. . MP4 and MKV containers are supported. The core function of DSL is to provide a simple and intuitive API for building, playing, and dynamically modifying NVIDIA DeepStream Pipelines. 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. 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. Typeerror hoverintent uncaught typeerror object object method jobs I want to Hire I want to Work. '/usr/lib/aarch64-linux-gnu/gstreamer-1.0/libgstlibav.so': # Configure this group to enable cloud message consumer. Before SVR is being triggered, configure [source0 ] and [message-consumer0] groups in DeepStream config (test5_dec_infer-resnet_tracker_sgie_tiled_display_int8.txt): Once the app config file is ready, run DeepStream: Finally, you are able to see recorded videos in your [smart-rec-dir-path] under [source0] group of the app config file. What is maximum duration of data I can cache as history for smart record? 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. Why does the RTSP source used in gst-launch pipeline through uridecodebin show blank screen followed by the error -. See the gst-nvdssr.h header file for more details. I started the record with a set duration. How can I determine the reason? Does Gst-nvinferserver support Triton multiple instance groups? The next step is to batch the frames for optimal inference performance. Smart Video Record DeepStream 6.1.1 Release documentation To read more about these apps and other sample apps in DeepStream, see the C/C++ Sample Apps Source Details and Python Sample Apps and Bindings Source Details. How can I specify RTSP streaming of DeepStream output? Why do I observe: A lot of buffers are being dropped. Freelancer My component is getting registered as an abstract type. Today, Deepstream has become the silent force behind some of the world's largest banks, communication, and entertainment companies. It uses same caching parameters and implementation as video. In smart record, encoded frames are cached to save on CPU memory. What is the difference between DeepStream classification and Triton classification? Smart video record is used for event (local or cloud) based recording of original data feed. In case duration is set to zero, recording will be stopped after defaultDuration seconds set in NvDsSRCreate(). This is a good reference application to start learning the capabilities of DeepStream. smart-rec-file-prefix= Sample Helm chart to deploy DeepStream application is available on NGC. Can Jetson platform support the same features as dGPU for Triton plugin? smart-rec-start-time= 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 different Memory types supported on Jetson and dGPU? See the deepstream_source_bin.c for more details on using this module. Using records Records are requested using client.record.getRecord (name). mp4, mkv), Errors occur when deepstream-app is run with a number of RTSP streams and with NvDCF tracker, Troubleshooting in NvDCF Parameter Tuning, Frequent tracking ID changes although no nearby objects, Frequent tracking ID switches to the nearby objects. Surely it can. How to fix cannot allocate memory in static TLS block 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. This causes the duration of the generated video to be less than the value specified. I started the record with a set duration. How to find the performance bottleneck in DeepStream? It returns the session id which later can be used in NvDsSRStop() to stop the corresponding recording. How to handle operations not supported by Triton Inference Server? Does smart record module work with local video streams? These 4 starter applications are available in both native C/C++ as well as in Python. This means, the recording cannot be started until we have an Iframe. Search for jobs related to Freelancer projects vlsi embedded or hire on the world's largest freelancing marketplace with 22m+ jobs. How to set camera calibration parameters in Dewarper plugin config file? For creating visualization artifacts such as bounding boxes, segmentation masks, labels there is a visualization plugin called Gst-nvdsosd. Why do some caffemodels fail to build after upgrading to DeepStream 5.1? How do I obtain individual sources after batched inferencing/processing? Call NvDsSRDestroy() to free resources allocated by this function. On Jetson platform, I get same output when multiple Jpeg images are fed to nvv4l2decoder using multifilesrc plugin. # Use this option if message has sensor name as id instead of index (0,1,2 etc.). 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. DeepStream supports application development in C/C++ and in Python through the Python bindings. Adding a callback is a possible way. . This parameter will increase the overall memory usages of the application. 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. 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 . Object tracking is performed using the Gst-nvtracker plugin. On Jetson platform, I get same output when multiple Jpeg images are fed to nvv4l2decoder using multifilesrc plugin. Hardware Platform (Jetson / CPU) How can I construct the DeepStream GStreamer pipeline? How do I configure the pipeline to get NTP timestamps? because recording might be started while the same session is actively recording for another source. What if I do not get expected 30 FPS from camera using v4l2src plugin in pipeline but instead get 15 FPS or less than 30 FPS? How to clean and restart? # default duration of recording in seconds. In SafeFac a set of cameras installed on the assembly line are used to captu. What types of input streams does DeepStream 6.2 support? Why do I encounter such error while running Deepstream pipeline memory type configured and i/p buffer mismatch ip_surf 0 muxer 3? Why do I observe: A lot of buffers are being dropped. There are more than 20 plugins that are hardware accelerated for various tasks. Please help to open a new topic if still an issue to support. The core SDK consists of several hardware accelerator plugins that use accelerators such as VIC, GPU, DLA, NVDEC and NVENC. This recording happens in parallel to the inference pipeline running over the feed. DeepStream applications can be created without coding using the Graph Composer. In the list of local_copy_files, if src is a folder, Any difference for dst ends with / or not? 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. Therefore, a total of startTime + duration seconds of data will be recorded. A Record is an arbitrary JSON data structure that can be created, retrieved, updated, deleted and listened to. Does Gst-nvinferserver support Triton multiple instance groups? Path of directory to save the recorded 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. Bei Erweiterung erscheint eine Liste mit Suchoptionen, die die Sucheingaben so ndern, dass sie zur aktuellen Auswahl passen. In existing deepstream-test5-app only RTSP sources are enabled for smart record. Can Gst-nvinferserver support models cross processes or containers? Why do I see tracker_confidence value as -0.1.? How to find the performance bottleneck in DeepStream? Why is a Gst-nvegltransform plugin required on a Jetson platform upstream from Gst-nveglglessink? How can I specify RTSP streaming of DeepStream output? Gst-nvvideoconvert plugin can perform color format conversion on the frame. When expanded it provides a list of search options that will switch the search inputs to match the current selection. A video cache is maintained so that recorded video has frames both before and after the event is generated. For sending metadata to the cloud, DeepStream uses Gst-nvmsgconv and Gst-nvmsgbroker plugin. What if I dont set video cache size for smart record? I'll be adding new github Issues for both items, but will leave this issue open until then. How can I run the DeepStream sample application in debug mode? Why does the RTSP source used in gst-launch pipeline through uridecodebin show blank screen followed by the error -. 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? Does smart record module work with local video streams? What are the sample pipelines for nvstreamdemux? The first frame in the cache may not be an Iframe, so, some frames from the cache are dropped to fulfil this condition. How to extend this to work with multiple sources? Can Gst-nvinferserver support models across processes or containers? What is maximum duration of data I can cache as history for smart record? How to get camera calibration parameters for usage in Dewarper plugin? Metadata propagation through nvstreammux and nvstreamdemux. How do I obtain individual sources after batched inferencing/processing? How to find out the maximum number of streams supported on given platform? When executing a graph, the execution ends immediately with the warning No system specified. Python Sample Apps and Bindings Source Details, DeepStream Reference Application - deepstream-app, Install librdkafka (to enable Kafka protocol adaptor for message broker), Run deepstream-app (the reference application), Remove all previous DeepStream installations, Install CUDA Toolkit 11.4.1 (CUDA 11.4 Update 1), Run the deepstream-app (the reference application), dGPU Setup for RedHat Enterprise Linux (RHEL), Install CUDA Toolkit 11.4 (CUDA 11.4 Update 1), DeepStream Triton Inference Server Usage Guidelines, Creating custom DeepStream docker for dGPU using DeepStreamSDK package, Creating custom DeepStream docker for Jetson using DeepStreamSDK package, Python Bindings and Application Development, Expected Output for the DeepStream Reference Application (deepstream-app), DeepStream Reference Application - deepstream-test5 app, IoT Protocols supported and cloud configuration, DeepStream Reference Application - deepstream-audio app, DeepStream Audio Reference Application Architecture and Sample Graphs, DeepStream Reference Application on GitHub, Implementing a Custom GStreamer Plugin with OpenCV Integration Example, Description of the Sample Plugin: gst-dsexample, Enabling and configuring the sample plugin, Using the sample plugin in a custom application/pipeline, Implementing Custom Logic Within the Sample Plugin, Custom YOLO Model in the DeepStream YOLO App, NvMultiObjectTracker Parameter Tuning Guide, Configuration File Settings for Performance Measurement, IModelParser Interface for Custom Model Parsing, Configure TLS options in Kafka config file for DeepStream, Choosing Between 2-way TLS and SASL/Plain, Setup for RTMP/RTSP Input streams for testing, Pipelines with existing nvstreammux component, Reference AVSync + ASR (Automatic Speech Recognition) Pipelines with existing nvstreammux, Reference AVSync + ASR Pipelines (with new nvstreammux), Gst-pipeline with audiomuxer (single source, without ASR + new nvstreammux), DeepStream 3D Action Recognition App Configuration Specifications, Custom sequence preprocess lib user settings, Build Custom sequence preprocess lib and application From Source, Application Migration to DeepStream 6.0 from DeepStream 5.X, Major Application Differences with DeepStream 5.X, Running DeepStream 5.X compiled Apps in DeepStream 6.0, Compiling DeepStream 5.1 Apps in DeepStream 6.0, Low-level Object Tracker Library Migration from DeepStream 5.1 Apps to DeepStream 6.0, User/Custom Metadata Addition inside NvDsBatchMeta, Adding Custom Meta in Gst Plugins Upstream from Gst-nvstreammux, Adding metadata to the plugin before Gst-nvstreammux, Gst-nvdspreprocess File Configuration Specifications, Gst-nvinfer File Configuration Specifications, Clustering algorithms supported by nvinfer, To read or parse inference raw tensor data of output layers, Gst-nvinferserver File Configuration Specifications, Tensor Metadata Output for DownStream Plugins, NvDsTracker API for Low-Level Tracker Library, Unified Tracker Architecture for Composable Multi-Object Tracker, Visualization of Sample Outputs and Correlation Responses, Low-Level Tracker Comparisons and Tradeoffs, How to Implement a Custom Low-Level Tracker Library, NvStreamMux Tuning Solutions for specific usecases, 3.1Video and Audio muxing; file sources of different fps, 3.2 Video and Audio muxing; RTMP/RTSP sources, 4.1 GstAggregator plugin -> filesink does not write data into the file, 4.2 nvstreammux WARNING Lot of buffers are being dropped, 1. What is the recipe for creating my own Docker image? How can I check GPU and memory utilization on a dGPU system? 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. smart-rec-dir-path= Why am I getting ImportError: No module named google.protobuf.internal when running convert_to_uff.py on Jetson AGX Xavier? 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? Can Gst-nvinfereserver (DeepSream Triton plugin) run on Nano platform? My component is getting registered as an abstract type. The property bufapi-version is missing from nvv4l2decoder, what to do? # Use this option if message has sensor name as id instead of index (0,1,2 etc.). This parameter will increase the overall memory usages of the application. Where can I find the DeepStream sample applications? To enable audio, a GStreamer element producing encoded audio bitstream must be linked to the asink pad of the smart record bin. What are different Memory transformations supported on Jetson and dGPU? One of the key capabilities of DeepStream is secure bi-directional communication between edge and cloud. Why is the Gst-nvstreammux plugin required in DeepStream 4.0+? This is currently supported for Kafka. smart-rec-duration= Why does the deepstream-nvof-test application show the error message Device Does NOT support Optical Flow Functionality ? In this documentation, we will go through, producing events to Kafka Cluster from AGX Xavier during DeepStream runtime, and. What is the official DeepStream Docker image and where do I get it? 1. Why do I observe a lot of buffers being dropped when running deepstream-nvdsanalytics-test application on Jetson Nano ? userData received in that callback is the one which is passed during NvDsSRStart(). How do I configure the pipeline to get NTP timestamps? deepstream.io Record Records are one of deepstream's core features. How to use the OSS version of the TensorRT plugins in DeepStream? Regarding git source code compiling in compile_stage, Is it possible to compile source from HTTP archives? How to handle operations not supported by Triton Inference Server? Why cant I paste a component after copied one? It will not conflict to any other functions in your application. This app is fully configurable - it allows users to configure any type and number of sources. That means smart record Start/Stop events are generated every 10 seconds through local events. Do I need to add a callback function or something else? userData received in that callback is the one which is passed during NvDsSRStart(). Ive configured smart-record=2 as the document said, using local event to start or end video-recording. Why does my image look distorted if I wrap my cudaMalloced memory into NvBufSurface and provide to NvBufSurfTransform? On Jetson platform, I get same output when multiple Jpeg images are fed to nvv4l2decoder using multifilesrc plugin. Can Gst-nvinferserver support inference on multiple GPUs? DeepStream Reference Application - deepstream-app DeepStream 6.1.1 Release documentation. deepstream-test5 sample application will be used for demonstrating SVR. Does Gst-nvinferserver support Triton multiple instance groups? What are the sample pipelines for nvstreamdemux? The params structure must be filled with initialization parameters required to create the instance. Abstract This work presents SafeFac, an intelligent camera-based system for managing the safety of factory environments. To start with, lets prepare a RTSP stream using DeepStream. The end-to-end application is called deepstream-app. How can I determine the reason? In case duration is set to zero, recording will be stopped after defaultDuration seconds set in NvDsSRCreate(). Records are the main building blocks of deepstream's data-sync capabilities. What is the difference between batch-size of nvstreammux and nvinfer? deepstream smart record. Copyright 2023, NVIDIA. Below diagram shows the smart record architecture: From DeepStream 6.0, Smart Record also supports audio. Can users set different model repos when running multiple Triton models in single process? Can Gst-nvinferserver support models cross processes or containers? Optimizing nvstreammux config for low-latency vs Compute, 6. Copyright 2021, Season. Why do I encounter such error while running Deepstream pipeline memory type configured and i/p buffer mismatch ip_surf 0 muxer 3? Can users set different model repos when running multiple Triton models in single process? For example, the record starts when theres an object being detected in the visual field. During container builder installing graphs, sometimes there are unexpected errors happening while downloading manifests or extensions from registry. There is an option to configure a tracker. Why do I see the below Error while processing H265 RTSP stream? How can I display graphical output remotely over VNC? How can I determine whether X11 is running? Path of directory to save the recorded file. After decoding, there is an optional image pre-processing step where the input image can be pre-processed before inference. Why do I see the below Error while processing H265 RTSP stream? To learn more about deployment with dockers, see the Docker container chapter. Do I need to add a callback function or something else? What are different Memory transformations supported on Jetson and dGPU? Are multiple parallel records on same source supported? This parameter will ensure the recording is stopped after a predefined default duration. Can I record the video with bounding boxes and other information overlaid? DeepStream is only a SDK which provide HW accelerated APIs for video inferencing, video decoding, video processing, etc. What is the recipe for creating my own Docker image? GstBin which is the recordbin of NvDsSRContext must be added to the pipeline. The containers are available on NGC, NVIDIA GPU cloud registry. How to use the OSS version of the TensorRT plugins in DeepStream? The deepstream-test2 progresses from test1 and cascades secondary network to the primary network. The message format is as follows: Receiving and processing such messages from the cloud is demonstrated in the deepstream-test5 sample application. Gst-nvmsgconv converts the metadata into schema payload and Gst-nvmsgbroker establishes the connection to the cloud and sends the telemetry data. How can I display graphical output remotely over VNC? What is the difference between batch-size of nvstreammux and nvinfer? 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. Does deepstream Smart Video Record support multi streams? Smart video record is used for event (local or cloud) based recording of original data feed. This function creates the instance of smart record and returns the pointer to an allocated NvDsSRContext. # Use this option if message has sensor name as id instead of index (0,1,2 etc.). The inference can use the GPU or DLA (Deep Learning accelerator) for Jetson AGX Xavier and Xavier NX. GstBin which is the recordbin of NvDsSRContext must be added to the pipeline. 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= smart-rec-video-cache= To make it easier to get started, DeepStream ships with several reference applications in both in C/C++ and in Python.