To start with, lets prepare a RTSP stream using DeepStream. # Use this option if message has sensor name as id instead of index (0,1,2 etc.). If you set smart-record=2, this will enable smart record through cloud messages as well as local events with default configurations. 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. All the individual blocks are various plugins that are used. How can I construct the DeepStream GStreamer pipeline? Produce cloud-to-device event messages, Transfer Learning Toolkit - Getting Started, Transfer Learning Toolkit - Specification Files, Transfer Learning Toolkit - StreetNet (TLT2), Transfer Learning Toolkit - CovidNet (TLT2), Transfer Learning Toolkit - Classification (TLT2), Custom Model - Triton Inference Server Configurations, Custom Model - Custom Parser - Yolov2-coco, Custom Model - Custom Parser - Tiny Yolov2, Custom Model - Custom Parser - EfficientDet, Custom Model - Sample Custom Parser - Resnet - Frcnn - Yolov3 - SSD, Custom Model - Sample Custom Parser - SSD, Custom Model - Sample Custom Parser - FasterRCNN, Custom Model - Sample Custom Parser - Yolov4. Developers can start with deepstream-test1 which is almost like a DeepStream hello world. Why am I getting ImportError: No module named google.protobuf.internal when running convert_to_uff.py on Jetson AGX Xavier? Why am I getting ImportError: No module named google.protobuf.internal when running convert_to_uff.py on Jetson AGX Xavier? The streams are captured using the CPU. In smart record, encoded frames are cached to save on CPU memory. deepstream.io Record Records are one of deepstream's core features. Copyright 2021, Season. What trackers are included in DeepStream and which one should I choose for my application? Video 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, 5. How to tune GPU memory for Tensorflow models? Read more about DeepStream here. Size of cache in seconds. By default, Smart_Record is the prefix in case this field is not set. Sample Helm chart to deploy DeepStream application is available on NGC. 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. Nothing to do. 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. Any change to a record is instantly synced across all connected clients. When running live camera streams even for few or single stream, also output looks jittery? Smart video record is used for event (local or cloud) based recording of original data feed. DeepStream ships with several out of the box security protocols such as SASL/Plain authentication using username/password and 2-way TLS authentication. See the deepstream_source_bin.c for more details on using this module. It will not conflict to any other functions in your application. Where can I find the DeepStream sample applications? What is the GPU requirement for running the Composer? [When user expect to use Display window], 2. Any data that is needed during callback function can be passed as userData. Can Gst-nvinferserver support inference on multiple GPUs? 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. A callback function can be setup to get the information of recorded audio/video once recording stops. See NVIDIA-AI-IOT Github page for some sample DeepStream reference apps. 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. The deepstream-test2 progresses from test1 and cascades secondary network to the primary network. Can Jetson platform support the same features as dGPU for Triton plugin? Once the frames are in the memory, they are sent for decoding using the NVDEC accelerator. How to handle operations not supported by Triton Inference Server? There are several built-in broker protocols such as Kafka, MQTT, AMQP and Azure IoT. Why does the deepstream-nvof-test application show the error message Device Does NOT support Optical Flow Functionality ? This is the time interval in seconds for SR start / stop events generation. Does Gst-nvinferserver support Triton multiple instance groups? Why does my image look distorted if I wrap my cudaMalloced memory into NvBufSurface and provide to NvBufSurfTransform? Uncategorized. Creating records For deployment at scale, you can build cloud-native, DeepStream applications using containers and orchestrate it all with Kubernetes platforms. 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. Copyright 2020-2021, NVIDIA. This function starts writing the cached audio/video data to a file. Why do I see tracker_confidence value as -0.1.? The containers are available on NGC, NVIDIA GPU cloud registry. It returns the session id which later can be used in NvDsSRStop() to stop the corresponding recording. 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. They are atomic bits of JSON data that can be manipulated and observed. Why do I encounter such error while running Deepstream pipeline memory type configured and i/p buffer mismatch ip_surf 0 muxer 3? How to clean and restart? DeepStream 5.1 Path of directory to save the recorded file. In case a Stop event is not generated. The source code for this application is available in /opt/nvidia/deepstream/deepstream-6.0/sources/apps/sample_apps/deepstream-app. How can I specify RTSP streaming of DeepStream output? Bei Erweiterung erscheint eine Liste mit Suchoptionen, die die Sucheingaben so ndern, dass sie zur aktuellen Auswahl passen. Changes are persisted and synced across all connected devices in milliseconds. Prefix of file name for generated video. This app is fully configurable - it allows users to configure any type and number of sources. After decoding, there is an optional image pre-processing step where the input image can be pre-processed before inference. deepstream smart record. By default, Smart_Record is the prefix in case this field is not set. At the bottom are the different hardware engines that are utilized throughout the application. Both audio and video will be recorded to the same containerized file. The DeepStream reference application is a GStreamer based solution and consists of set of GStreamer plugins encapsulating low-level APIs to form a complete graph. Do I need to add a callback function or something else? Jetson devices) to follow the demonstration. DeepStream is a streaming analytic toolkit to build AI-powered applications. What is batch-size differences for a single model in different config files (. Smart-rec-container=<0/1> You may also refer to Kafka Quickstart guide to get familiar with Kafka. Streaming data can come over the network through RTSP or from a local file system or from a camera directly. What is the official DeepStream Docker image and where do I get it? Why is that? DeepStream provides building blocks in the form of GStreamer plugins that can be used to construct an efficient video analytic pipeline. If you are trying to detect an object, this tensor data needs to be post-processed by a parsing and clustering algorithm to create bounding boxes around the detected object. Smart Video Record DeepStream 6.1.1 Release documentation How do I configure the pipeline to get NTP timestamps? What is the recipe for creating my own Docker image? smart-rec-cache= 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. . How to handle operations not supported by Triton Inference Server? 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. 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. London, awarded World book of records How to fix cannot allocate memory in static TLS block error? Why do I observe: A lot of buffers are being dropped. Why do some caffemodels fail to build after upgrading to DeepStream 5.1? How can I construct the DeepStream GStreamer pipeline? 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. # Configure this group to enable cloud message consumer. What is the difference between batch-size of nvstreammux and nvinfer? How can I get more information on why the operation failed? If you are familiar with gstreamer programming, it is very easy to add multiple streams. '/usr/lib/aarch64-linux-gnu/gstreamer-1.0/libgstlibav.so': # Configure this group to enable cloud message consumer. DeepStream is an optimized graph architecture built using the open source GStreamer framework. Below diagram shows the smart record architecture: This module provides the following APIs. Native TensorRT inference is performed using Gst-nvinfer plugin and inference using Triton is done using Gst-nvinferserver plugin. How to find out the maximum number of streams supported on given platform? Container Contents How can I display graphical output remotely over VNC? 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. Hardware Platform (Jetson / CPU) Lets go back to AGX Xavier for next step. How to handle operations not supported by Triton Inference Server? Revision 6f7835e1. What types of input streams does DeepStream 5.1 support? 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? How can I interpret frames per second (FPS) display information on console? In existing deepstream-test5-app only RTSP sources are enabled for smart record. What is the approximate memory utilization for 1080p streams on dGPU? See the deepstream_source_bin.c for more details on using this module. Can Gst-nvinfereserver (DeepSream Triton plugin) run on Nano platform? How to measure pipeline latency if pipeline contains open source components. Why am I getting following warning when running deepstream app for first time? The performance benchmark is also run using this application. How can I display graphical output remotely over VNC? Why does my image look distorted if I wrap my cudaMalloced memory into NvBufSurface and provide to NvBufSurfTransform? The data types are all in native C and require a shim layer through PyBindings or NumPy to access them from the Python app. Here, start time of recording is the number of seconds earlier to the current time to start the recording. On Jetson platform, I observe lower FPS output when screen goes idle. What if I dont set video cache size for smart record? The graph below shows a typical video analytic application starting from input video to outputting insights. Currently, there is no support for overlapping smart record. One of the key capabilities of DeepStream is secure bi-directional communication between edge and cloud. Last updated on Oct 27, 2021. 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. That means smart record Start/Stop events are generated every 10 seconds through local events. It comes pre-built with an inference plugin to do object detection cascaded by inference plugins to do image classification. I started the record with a set duration. How can I determine whether X11 is running? Size of video cache in seconds. Are multiple parallel records on same source supported? When expanded it provides a list of search options that will switch the search inputs to match the current selection. DeepStream applications can be orchestrated on the edge using Kubernetes on GPU.