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: To enable smart record through only cloud messages, set smart-record=1 and configure [message-consumerX] group accordingly. See the deepstream_source_bin.c for more details on using this module. This function creates the instance of smart record and returns the pointer to an allocated NvDsSRContext. See NVIDIA-AI-IOT Github page for some sample DeepStream reference apps. Here, start time of recording is the number of seconds earlier to the current time to start the recording. Why do I encounter such error while running Deepstream pipeline memory type configured and i/p buffer mismatch ip_surf 0 muxer 3? Size of video cache in seconds. What is the difference between DeepStream classification and Triton classification? How to tune GPU memory for Tensorflow models? 5.1 Adding GstMeta to buffers before nvstreammux. # Use this option if message has sensor name as id instead of index (0,1,2 etc.). In case a Stop event is not generated. 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. This paper presents DeepStream, a novel data stream temporal clustering algorithm that dynamically detects sequential and overlapping clusters. smart-rec-cache=
See the gst-nvdssr.h header file for more details. What are different Memory transformations supported on Jetson and dGPU? If you are familiar with gstreamer programming, it is very easy to add multiple streams. Freelancer How to minimize FPS jitter with DS application while using RTSP Camera Streams? How can I determine whether X11 is running? It expects encoded frames which will be muxed and saved to the file. Smart video record is used for event (local or cloud) based recording of original data feed. What is the official DeepStream Docker image and where do I get it? Does Gst-nvinferserver support Triton multiple instance groups? 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. Are multiple parallel records on same source supported? During container builder installing graphs, sometimes there are unexpected errors happening while downloading manifests or extensions from registry. Dieser Button zeigt den derzeit ausgewhlten Suchtyp an. What is maximum duration of data I can cache as history for smart record? DeepStream applications can be orchestrated on the edge using Kubernetes on GPU. Which Triton version is supported in DeepStream 5.1 release? The property bufapi-version is missing from nvv4l2decoder, what to do? The first frame in the cache may not be an Iframe, so, some frames from the cache are dropped to fulfil this condition. Can Jetson platform support the same features as dGPU for Triton plugin? If current time is t1, content from t1 - startTime to t1 + duration will be saved to file. This application will work for all AI models with detailed instructions provided in individual READMEs. Hardware Platform (Jetson / CPU) There are several built-in broker protocols such as Kafka, MQTT, AMQP and Azure IoT. Can Gst-nvinferserver support inference on multiple GPUs? A video cache is maintained so that recorded video has frames both before and after the event is generated. 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. Why does my image look distorted if I wrap my cudaMalloced memory into NvBufSurface and provide to NvBufSurfTransform? Why does the deepstream-nvof-test application show the error message Device Does NOT support Optical Flow Functionality ? Why I cannot run WebSocket Streaming with Composer? How to find out the maximum number of streams supported on given platform? The first frame in the cache may not be an Iframe, so, some frames from the cache are dropped to fulfil this condition. . do you need to pass different session ids when recording from different sources? Whats the throughput of H.264 and H.265 decode on dGPU (Tesla)? Does smart record module work with local video streams? To start with, lets prepare a RTSP stream using DeepStream. What is the recipe for creating my own Docker image? The inference can use the GPU or DLA (Deep Learning accelerator) for Jetson AGX Xavier and Xavier NX. This parameter will increase the overall memory usages of the application. # default duration of recording in seconds. When running live camera streams even for few or single stream, also output looks jittery? Path of directory to save the recorded file. How can I determine whether X11 is running? 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? How can I determine the reason? What if I dont set default duration for smart record? userData received in that callback is the one which is passed during NvDsSRStart(). 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=
DeepStream is only a SDK which provide HW accelerated APIs for video inferencing, video decoding, video processing, etc. Copyright 2020-2021, NVIDIA. Following are the default values of configuration parameters: Following fields can be used under [sourceX] groups to configure these parameters. To enable smart record in deepstream-test5-app set the following under [sourceX] group: smart-record=<1/2> This means, the recording cannot be started until we have an Iframe. Why does the RTSP source used in gst-launch pipeline through uridecodebin show blank screen followed by the error -. To enable audio, a GStreamer element producing encoded audio bitstream must be linked to the asink pad of the smart record bin. Configure [source0] and [sink1] groups of DeepStream app config configs/test5_dec_infer-resnet_tracker_sgie_tiled_display_int8.txt so that DeepStream is able to use RTSP source from step 1 and render events to your Kafka server: At this stage, our DeepStream application is ready to run and produce events containing bounding box coordinates to Kafka server: To consume the events, we write consumer.py. If you set smart-record=2, this will enable smart record through cloud messages as well as local events with default configurations. Also included are the source code for these applications. . DeepStream is an optimized graph architecture built using the open source GStreamer framework. Duration of recording. 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. In existing deepstream-test5-app only RTSP sources are enabled for smart record. DeepStream applications can be deployed in containers using NVIDIA container Runtime. How to measure pipeline latency if pipeline contains open source components. At the bottom are the different hardware engines that are utilized throughout the application. There are two ways in which smart record events can be generated either through local events or through cloud messages. If you set smart-record=2, this will enable smart record through cloud messages as well as local events with default configurations. What if I dont set default duration for smart record? These 4 starter applications are available in both native C/C++ as well as in Python. The params structure must be filled with initialization parameters required to create the instance. Can users set different model repos when running multiple Triton models in single process? 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. When deepstream-app is run in loop on Jetson AGX Xavier using while true; do deepstream-app -c ; done;, after a few iterations I see low FPS for certain iterations. The message format is as follows: Receiving and processing such messages from the cloud is demonstrated in the deepstream-test5 sample application. This function starts writing the cached video data to a file. Can Gst-nvinferserver support models across processes or containers? Why is that? Why do some caffemodels fail to build after upgrading to DeepStream 5.1? For unique names every source must be provided with a unique prefix. This application is covered in greater detail in the DeepStream Reference Application - deepstream-app chapter. 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. deepstream-testsr is to show the usage of smart recording interfaces. DeepStream - Smart Video Recording DeepStream - IoT Edge DeepStream - Demos DeepStream - Common Issues 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) Recording also can be triggered by JSON messages received from the cloud. smart-rec-video-cache=
What is batch-size differences for a single model in different config files (. What is the difference between batch-size of nvstreammux and nvinfer? What is the difference between DeepStream classification and Triton classification? Why is that? Optimizing nvstreammux config for low-latency vs Compute, 6. See the deepstream_source_bin.c for more details on using this module. How can I verify that CUDA was installed correctly? Both audio and video will be recorded to the same containerized file. How to clean and restart? How can I know which extensions synchronized to registry cache correspond to a specific repository? Size of cache in seconds. 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). DeepStream is only a SDK which provide HW accelerated APIs for video inferencing, video decoding, video processing, etc. You may use other devices (e.g. When expanded it provides a list of search options that will switch the search inputs to match the current selection. 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? To learn more about these security features, read the IoT chapter. My component is getting registered as an abstract type. How to extend this to work with multiple sources? Why is a Gst-nvegltransform plugin required on a Jetson platform upstream from Gst-nveglglessink? Based on the event, these cached frames are encapsulated under the chosen container to generate the recorded video. Metadata propagation through nvstreammux and nvstreamdemux. Why is the Gst-nvstreammux plugin required in DeepStream 4.0+? The property bufapi-version is missing from nvv4l2decoder, what to do? These plugins use GPU or VIC (vision image compositor). On Jetson platform, I get same output when multiple Jpeg images are fed to nvv4l2decoder using multifilesrc plugin. Its lightning-fast realtime data platform helps developers of any background or skillset build apps, IoT platforms, and backends that always stay in sync - without having to worry about infrastructure or . This is a good reference application to start learning the capabilities of DeepStream. How can I construct the DeepStream GStreamer pipeline? By performing all the compute heavy operations in a dedicated accelerator, DeepStream can achieve highest performance for video analytic applications. smart-rec-interval= This recording happens in parallel to the inference pipeline running over the feed. In the deepstream-test5-app, to demonstrate the use case smart record Start / Stop events are generated every interval second. 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. Are multiple parallel records on same source supported? Below diagram shows the smart record architecture: This module provides the following APIs. In the main control section, why is the field container_builder required? 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. A Record is an arbitrary JSON data structure that can be created, retrieved, updated, deleted and listened to. Why is that? For the output, users can select between rendering on screen, saving the output file, or streaming the video out over RTSP. 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. DeepStream is a streaming analytic toolkit to build AI-powered applications. Are multiple parallel records on same source supported? How can I construct the DeepStream GStreamer pipeline? What if I dont set video cache size for smart record? How to set camera calibration parameters in Dewarper plugin config file? #sensor-list-file=dstest5_msgconv_sample_config.txt, Install librdkafka (to enable Kafka protocol adaptor for message broker), Run deepstream-app (the reference application), Remove all previous DeepStream installations, Run the deepstream-app (the reference application), dGPU Setup for RedHat Enterprise Linux (RHEL), DeepStream Triton Inference Server Usage Guidelines, 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, DeepStream Reference Application - deepstream-audio app, ONNX Parser replace instructions (x86 only), 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, IModelParser Interface for Custom Model Parsing, Configure TLS options in Kafka config file for DeepStream, Choosing Between 2-way TLS and SASL/Plain, Application Migration to DeepStream 5.0 from DeepStream 4.X, Major Application Differences with DeepStream 4.X, Running DeepStream 4.x compiled Apps in DeepStream 5.0, Compiling DeepStream 4.X Apps in DeepStream 5.0, 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-nvinfer File Configuration Specifications, To read or parse inference raw tensor data of output layers, Gst-nvinferserver File Configuration Specifications, Low-Level Tracker Library Comparisons and Tradeoffs, 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, You are migrating from DeepStream 4.0+ to DeepStream 5.0, 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 on dGPU only, 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. The core SDK consists of several hardware accelerator plugins that use accelerators such as VIC, GPU, DLA, NVDEC and NVENC. What is the approximate memory utilization for 1080p streams on dGPU? 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. Whats the throughput of H.264 and H.265 decode on dGPU (Tesla)? How can I determine whether X11 is running? smart-rec-start-time=
When executing a graph, the execution ends immediately with the warning No system specified. In SafeFac a set of cameras installed on the assembly line are used to captu. smart-rec-duration=
Whats the throughput of H.264 and H.265 decode on dGPU (Tesla)? The end-to-end application is called deepstream-app. After decoding, there is an optional image pre-processing step where the input image can be pre-processed before inference. 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? You can design your own application functions. Why am I getting following warning when running deepstream app for first time? Recording also can be triggered by JSON messages received from the cloud. DeepStream provides building blocks in the form of GStreamer plugins that can be used to construct an efficient video analytic pipeline. Records are the main building blocks of deepstream's data-sync capabilities. Nothing to do. What are the recommended values for. Any data that is needed during callback function can be passed as userData. Why is the Gst-nvstreammux plugin required in DeepStream 4.0+? How to use the OSS version of the TensorRT plugins in DeepStream? How can I interpret frames per second (FPS) display information on console? Sample Helm chart to deploy DeepStream application is available on NGC. 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. Can users set different model repos when running multiple Triton models in single process? Prefix of file name for generated video. How can I display graphical output remotely over VNC? In existing deepstream-test5-app only RTSP sources are enabled for smart record. How does secondary GIE crop and resize objects? Surely it can. TensorRT accelerates the AI inference on NVIDIA GPU. tensorflow python framework errors impl notfounderror no cpu devices are available in this process Why do I see tracker_confidence value as -0.1.? 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. DeepStream abstracts these libraries in DeepStream plugins, making it easy for developers to build video analytic pipelines without having to learn all the individual libraries. Search for jobs related to Freelancer projects vlsi embedded or hire on the world's largest freelancing marketplace with 22m+ jobs. Revision 6f7835e1. World-class customer support and in-house procurement experts. 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. Jetson devices) to follow the demonstration. This function creates the instance of smart record and returns the pointer to an allocated NvDsSRContext. Here startTime specifies the seconds before the current time and duration specifies the seconds after the start of recording. How to tune GPU memory for Tensorflow models? How can I determine the reason? In this documentation, we will go through, producing events to Kafka Cluster from AGX Xavier during DeepStream runtime, and. That means smart record Start/Stop events are generated every 10 seconds through local events. Smart Video Record DeepStream 6.1.1 Release documentation Do I need to add a callback function or something else? Can I record the video with bounding boxes and other information overlaid? Following are the default values of configuration parameters: Following fields can be used under [sourceX] groups to configure these parameters. Last updated on Feb 02, 2023. Why does my image look distorted if I wrap my cudaMalloced memory into NvBufSurface and provide to NvBufSurfTransform? Why do I observe: A lot of buffers are being dropped. When running live camera streams even for few or single stream, also output looks jittery? Ive configured smart-record=2 as the document said, using local event to start or end video-recording. London, awarded World book of records To enable smart record in deepstream-test5-app set the following under [sourceX] group: smart-record=<1/2> It returns the session id which later can be used in NvDsSRStop() to stop the corresponding recording. For deployment at scale, you can build cloud-native, DeepStream applications using containers and orchestrate it all with Kubernetes platforms. Can users set different model repos when running multiple Triton models in single process? They are atomic bits of JSON data that can be manipulated and observed. How can I verify that CUDA was installed correctly? There are two ways in which smart record events can be generated - either through local events or through cloud messages. For creating visualization artifacts such as bounding boxes, segmentation masks, labels there is a visualization plugin called Gst-nvdsosd. How do I obtain individual sources after batched inferencing/processing? Refer to the deepstream-testsr sample application for more details on usage. How to enable TensorRT optimization for Tensorflow and ONNX models? Can I stop it before that duration ends? Learn More. Abstract This work presents SafeFac, an intelligent camera-based system for managing the safety of factory environments. An example of each: smart-rec-dir-path=
How can I construct the DeepStream GStreamer pipeline? See the gst-nvdssr.h header file for more details. This is currently supported for Kafka. Why do I see the below Error while processing H265 RTSP stream? Smart video record is used for event (local or cloud) based recording of original data feed. Smart Video Record DeepStream 6.1.1 Release documentation, DeepStream Reference Application - deepstream-app DeepStream 6.1.1 Release documentation. What are different Memory types supported on Jetson and dGPU? because recording might be started while the same session is actively recording for another source. To learn more about deployment with dockers, see the Docker container chapter. smart-rec-dir-path= Does DeepStream Support 10 Bit Video streams? Please make sure you understand how to migrate your DeepStream 5.1 custom models to DeepStream 6.0 before you start. 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 1 Like a7med.hish October 4, 2021, 12:18pm #7 How can I display graphical output remotely over VNC? What are the recommended values for. The plugin for decode is called Gst-nvvideo4linux2. There are more than 20 plugins that are hardware accelerated for various tasks. How to handle operations not supported by Triton Inference Server? # Use this option if message has sensor name as id instead of index (0,1,2 etc.). Why is that? GstBin which is the recordbin of NvDsSRContext must be added to the pipeline. What if I dont set video cache size for smart record? 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. Therefore, a total of startTime + duration seconds of data will be recorded. How do I configure the pipeline to get NTP timestamps? How to find the performance bottleneck in DeepStream? There are several built-in reference trackers in the SDK, ranging from high performance to high accuracy. My DeepStream performance is lower than expected. Can Gst-nvinferserver support models cross processes or containers? Yes, on both accounts. How to fix cannot allocate memory in static TLS block error? Regarding git source code compiling in compile_stage, Is it possible to compile source from HTTP archives? Does Gst-nvinferserver support Triton multiple instance groups?