deepstream smart record

Duration of recording. Python is easy to use and widely adopted by data scientists and deep learning experts when creating AI models. 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 . In the deepstream-test5-app, to demonstrate the use case smart record Start / Stop events are generated every interval second. Can Gst-nvinferserver support models cross processes or containers? However, when configuring smart-record for multiple sources the duration of the videos are no longer consistent (different duration for each video). That means smart record Start/Stop events are generated every 10 seconds through local events. Last updated on Feb 02, 2023. At the heart of deepstreamHub lies a powerful data-sync engine: schemaless JSON documents called "records" can be manipulated and observed by backend-processes or clients. This function stops the previously started recording. In existing deepstream-test5-app only RTSP sources are enabled for smart record. Can Jetson platform support the same features as dGPU for Triton plugin? smart-rec-video-cache= How can I determine whether X11 is running? Does Gst-nvinferserver support Triton multiple instance groups? What is maximum duration of data I can cache as history for smart record? What is the approximate memory utilization for 1080p streams on dGPU? How do I obtain individual sources after batched inferencing/processing? How can I verify that CUDA was installed correctly? Whats the throughput of H.264 and H.265 decode on dGPU (Tesla)? 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. Here, start time of recording is the number of seconds earlier to the current time to start the recording. 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. Why is the Gst-nvstreammux plugin required in DeepStream 4.0+? See the C/C++ Sample Apps Source Details and Python Sample Apps and Bindings Source Details sections to learn more about the available apps. Any change to a record is instantly synced across all connected clients. In existing deepstream-test5-app only RTSP sources are enabled for smart record. Powered by Discourse, best viewed with JavaScript enabled. 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. Once frames are batched, it is sent for inference. Dieser Button zeigt den derzeit ausgewhlten Suchtyp an. A Record is an arbitrary JSON data structure that can be created, retrieved, updated, deleted and listened to. Observing video and/or audio stutter (low framerate), 2. 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. 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. Copyright 2023, NVIDIA. What is the difference between batch-size of nvstreammux and nvinfer? Hardware Platform (Jetson / CPU) userData received in that callback is the one which is passed during NvDsSRStart(). Copyright 2020-2021, NVIDIA. because when I try deepstream-app with smart-recording configured for 1 source, the behaviour is perfect. What is the recipe for creating my own Docker image? 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. How can I determine whether X11 is running? The DeepStream Python application uses the Gst-Python API action to construct the pipeline and use probe functions to access data at various points in the pipeline. How to enable TensorRT optimization for Tensorflow and ONNX models? This app is fully configurable - it allows users to configure any type and number of sources. What types of input streams does DeepStream 5.1 support? '/usr/lib/aarch64-linux-gnu/gstreamer-1.0/libgstlibav.so': # Configure this group to enable cloud message consumer. On Jetson platform, I get same output when multiple Jpeg images are fed to nvv4l2decoder using multifilesrc plugin. The end-to-end application is called deepstream-app. The pre-processing can be image dewarping or color space conversion. 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? To enable smart record in deepstream-test5-app set the following under [sourceX] group: smart-record=<1/2> In smart record, encoded frames are cached to save on CPU memory. Why am I getting ImportError: No module named google.protobuf.internal when running convert_to_uff.py on Jetson AGX Xavier? By default, the current directory is used. 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. 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. Why do some caffemodels fail to build after upgrading to DeepStream 6.0? For developers looking to build their custom application, the deepstream-app can be a bit overwhelming to start development. Copyright 2021, Season. Note that the formatted messages were sent to , lets rewrite our consumer.py to inspect the formatted messages from this topic. Details are available in the Readme First section of this document. # Use this option if message has sensor name as id instead of index (0,1,2 etc.). Changes are persisted and synced across all connected devices in milliseconds. 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. # Use this option if message has sensor name as id instead of index (0,1,2 etc.). On Jetson platform, I get same output when multiple Jpeg images are fed to nvv4l2decoder using multifilesrc plugin. A callback function can be setup to get the information of recorded audio/video once recording stops. 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. Produce device-to-cloud event messages, 5. What is the difference between DeepStream classification and Triton classification? Refer to this post for more details. How can I specify RTSP streaming of DeepStream output? 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? In case duration is set to zero, recording will be stopped after defaultDuration seconds set in NvDsSRCreate(). The following minimum json message from the server is expected to trigger the Start/Stop of smart record. In the deepstream-test5-app, to demonstrate the use case smart record Start / Stop events are generated every interval second. smart-rec-file-prefix= DeepStream Reference Application - deepstream-app DeepStream 6.1.1 Release documentation. What are the recommended values for. Lets go back to AGX Xavier for next step. What should I do if I want to set a self event to control the record? To get started, developers can use the provided reference applications. A callback function can be setup to get the information of recorded video once recording stops. Does smart record module work with local video streams? How to find out the maximum number of streams supported on given platform? What trackers are included in DeepStream and which one should I choose for my application? Why does my image look distorted if I wrap my cudaMalloced memory into NvBufSurface and provide to NvBufSurfTransform? Learn More. This recording happens in parallel to the inference pipeline running over the feed. DeepStream provides building blocks in the form of GStreamer plugins that can be used to construct an efficient video analytic pipeline. 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. I started the record with a set duration. Why does the RTSP source used in gst-launch pipeline through uridecodebin show blank screen followed by the error -. In case a Stop event is not generated. Which Triton version is supported in DeepStream 5.1 release? My DeepStream performance is lower than expected. , awarded WBR. #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), How to visualize the output if the display is not attached to the system, 1 . How do I configure the pipeline to get NTP timestamps? 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 extend this to work with multiple sources? In the list of local_copy_files, if src is a folder, Any difference for dst ends with / or not? The property bufapi-version is missing from nvv4l2decoder, what to do? These plugins use GPU or VIC (vision image compositor). If current time is t1, content from t1 - startTime to t1 + duration will be saved to file. Also included are the source code for these applications. NVIDIA introduced Python bindings to help you build high-performance AI applications using Python. How can I run the DeepStream sample application in debug mode? Nothing to do. MP4 and MKV containers are supported. Freelancer Why is that? My DeepStream performance is lower than expected. I started the record with a set duration. How can I determine the reason? Custom broker adapters can be created. How can I check GPU and memory utilization on a dGPU system? By default, Smart_Record is the prefix in case this field is not set. Size of video cache in seconds. How can I interpret frames per second (FPS) display information on console? What are different Memory transformations supported on Jetson and dGPU? For sending metadata to the cloud, DeepStream uses Gst-nvmsgconv and Gst-nvmsgbroker plugin. Tensor data is the raw tensor output that comes out after inference. [When user expect to use Display window], 2. By performing all the compute heavy operations in a dedicated accelerator, DeepStream can achieve highest performance for video analytic applications. Can Jetson platform support the same features as dGPU for Triton plugin? Why do I observe a lot of buffers being dropped When running deepstream-nvdsanalytics-test application on Jetson Nano ? On AGX Xavier, we first find the deepstream-app-test5 directory and create the sample application: If you are not sure which CUDA_VER you have, check */usr/local/*. Why do I see tracker_confidence value as -0.1.? For deployment at scale, you can build cloud-native, DeepStream applications using containers and orchestrate it all with Kubernetes platforms. AGX Xavier consuming events from Kafka Cluster to trigger SVR. 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. 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. In existing deepstream-test5-app only RTSP sources are enabled for smart record. How can I run the DeepStream sample application in debug mode? The first frame in the cache may not be an Iframe, so, some frames from the cache are dropped to fulfil this condition. Does Gst-nvinferserver support Triton multiple instance groups? Each NetFlow record . Thanks again. Do I need to add a callback function or something else? How to handle operations not supported by Triton Inference Server? If you are familiar with gstreamer programming, it is very easy to add multiple streams. Why am I getting following warning when running deepstream app for first time? How to clean and restart? Does deepstream Smart Video Record support multi streams? 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. How to use nvmultiurisrcbin in a pipeline, 3.1 REST API payload definitions and sample curl commands for reference, 3.1.1 ADD a new stream to a DeepStream pipeline, 3.1.2 REMOVE a new stream to a DeepStream pipeline, 4.1 Gst Properties directly configuring nvmultiurisrcbin, 4.2 Gst Properties to configure each instance of nvurisrcbin created inside this bin, 4.3 Gst Properties to configure the instance of nvstreammux created inside this bin, 5.1 nvmultiurisrcbin config recommendations and notes on expected behavior, 3.1 Gst Properties to configure nvurisrcbin, You are migrating from DeepStream 6.0 to DeepStream 6.2, Application fails to run when the neural network is changed, The DeepStream application is running slowly (Jetson only), The DeepStream application is running slowly, Errors occur when deepstream-app fails to load plugin Gst-nvinferserver, Tensorflow models are running into OOM (Out-Of-Memory) problem, Troubleshooting in Tracker Setup and Parameter Tuning, Frequent tracking ID changes although no nearby objects, Frequent tracking ID switches to the nearby objects, Error while running ONNX / Explicit batch dimension networks, My component is not visible in the composer even after registering the extension with registry.

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