The streams are captured using the CPU. 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. How can I run the DeepStream sample application in debug mode? How to handle operations not supported by Triton Inference Server? Why do some caffemodels fail to build after upgrading to DeepStream 6.2? A callback function can be setup to get the information of recorded video once recording stops. What types of input streams does DeepStream 6.2 support? What if I dont set default duration for smart record? 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. And once it happens, container builder may return errors again and again. What if I dont set default duration for smart record? When expanded it provides a list of search options that will switch the search inputs to match the current selection. Gst-nvdewarper plugin can dewarp the image from a fisheye or 360 degree camera. On Jetson platform, I get same output when multiple Jpeg images are fed to nvv4l2decoder using multifilesrc plugin. recordbin of NvDsSRContext is smart record bin which must be added to the pipeline. DeepStream 5.1 Using records Records are requested using client.record.getRecord (name). How can I display graphical output remotely over VNC? smart-rec-interval= Batching is done using the Gst-nvstreammux plugin. 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. How to tune GPU memory for Tensorflow models? mp4, mkv), Troubleshooting in NvDCF Parameter Tuning, Frequent tracking ID changes although no nearby objects, Frequent tracking ID switches to the nearby objects, Error while running ONNX / Explicit batch dimension networks, DeepStream plugins failing to load without DISPLAY variable set when launching DS dockers, 1. One of the key capabilities of DeepStream is secure bi-directional communication between edge and cloud. 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. How to find the performance bottleneck in DeepStream? 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. Why do I encounter such error while running Deepstream pipeline memory type configured and i/p buffer mismatch ip_surf 0 muxer 3? Please help to open a new topic if still an issue to support. What are the sample pipelines for nvstreamdemux? What is the official DeepStream Docker image and where do I get it? smart-rec-file-prefix= Why do I encounter such error while running Deepstream pipeline memory type configured and i/p buffer mismatch ip_surf 0 muxer 3? What is batch-size differences for a single model in different config files (. By executing this trigger-svr.py when AGX is producing the events, we now can not only consume the messages from AGX Xavier but also produce JSON messages to in Kafka server which will be subscribed by AGX Xavier to trigger SVR. Why cant I paste a component after copied one? Latency Measurement API Usage guide for audio, nvds_msgapi_connect(): Create a Connection, nvds_msgapi_send() and nvds_msgapi_send_async(): Send an event, nvds_msgapi_subscribe(): Consume data by subscribing to topics, nvds_msgapi_do_work(): Incremental Execution of Adapter Logic, nvds_msgapi_disconnect(): Terminate a Connection, nvds_msgapi_getversion(): Get Version Number, nvds_msgapi_get_protocol_name(): Get name of the protocol, nvds_msgapi_connection_signature(): Get Connection signature, Connection Details for the Device Client Adapter, Connection Details for the Module Client Adapter, nv_msgbroker_connect(): Create a Connection, nv_msgbroker_send_async(): Send an event asynchronously, nv_msgbroker_subscribe(): Consume data by subscribing to topics, nv_msgbroker_disconnect(): Terminate a Connection, nv_msgbroker_version(): Get Version Number, DS-Riva ASR Library YAML File Configuration Specifications, DS-Riva TTS Yaml File Configuration Specifications, Gst-nvdspostprocess File Configuration Specifications, Gst-nvds3dfilter properties Specifications, 3. The params structure must be filled with initialization parameters required to create the instance. How to find the performance bottleneck in DeepStream? What is batch-size differences for a single model in different config files (, Create Container Image from Graph Composer, Generate an extension for GXF wrapper of GstElement, Extension and component factory registration boilerplate, Implementation of INvDsInPlaceDataHandler, Implementation of an Configuration Provider component, DeepStream Domain Component - INvDsComponent, Probe Callback Implementation - INvDsInPlaceDataHandler, Element Property Controller INvDsPropertyController, Configurations INvDsConfigComponent template and specializations, INvDsVideoTemplatePluginConfigComponent / INvDsAudioTemplatePluginConfigComponent, Set the root folder for searching YAML files during loading, Starts the execution of the graph asynchronously, Waits for the graph to complete execution, Runs all System components and waits for their completion, Get unique identifier of the entity of given component, Get description and list of components in loaded Extension, Get description and list of parameters of Component, nvidia::gxf::DownstreamReceptiveSchedulingTerm, nvidia::gxf::MessageAvailableSchedulingTerm, nvidia::gxf::MultiMessageAvailableSchedulingTerm, nvidia::gxf::ExpiringMessageAvailableSchedulingTerm, nvidia::triton::TritonInferencerInterface, nvidia::triton::TritonRequestReceptiveSchedulingTerm, nvidia::deepstream::NvDs3dDataDepthInfoLogger, nvidia::deepstream::NvDs3dDataColorInfoLogger, nvidia::deepstream::NvDs3dDataPointCloudInfoLogger, nvidia::deepstream::NvDsActionRecognition2D, nvidia::deepstream::NvDsActionRecognition3D, nvidia::deepstream::NvDsMultiSrcConnection, nvidia::deepstream::NvDsGxfObjectDataTranslator, nvidia::deepstream::NvDsGxfAudioClassificationDataTranslator, nvidia::deepstream::NvDsGxfOpticalFlowDataTranslator, nvidia::deepstream::NvDsGxfSegmentationDataTranslator, nvidia::deepstream::NvDsGxfInferTensorDataTranslator, nvidia::BodyPose2D::NvDsGxfBodypose2dDataTranslator, nvidia::deepstream::NvDsMsgRelayTransmitter, nvidia::deepstream::NvDsMsgBrokerC2DReceiver, nvidia::deepstream::NvDsMsgBrokerD2CTransmitter, nvidia::FacialLandmarks::FacialLandmarksPgieModel, nvidia::FacialLandmarks::FacialLandmarksSgieModel, nvidia::FacialLandmarks::FacialLandmarksSgieModelV2, nvidia::FacialLandmarks::NvDsGxfFacialLandmarksTranslator, nvidia::HeartRate::NvDsHeartRateTemplateLib, nvidia::HeartRate::NvDsGxfHeartRateDataTranslator, nvidia::deepstream::NvDsModelUpdatedSignal, nvidia::deepstream::NvDsInferVideoPropertyController, nvidia::deepstream::NvDsLatencyMeasurement, nvidia::deepstream::NvDsAudioClassificationPrint, nvidia::deepstream::NvDsPerClassObjectCounting, nvidia::deepstream::NvDsModelEngineWatchOTFTrigger, nvidia::deepstream::NvDsRoiClassificationResultParse, nvidia::deepstream::INvDsInPlaceDataHandler, nvidia::deepstream::INvDsPropertyController, nvidia::deepstream::INvDsAudioTemplatePluginConfigComponent, nvidia::deepstream::INvDsVideoTemplatePluginConfigComponent, nvidia::deepstream::INvDsInferModelConfigComponent, nvidia::deepstream::INvDsGxfDataTranslator, nvidia::deepstream::NvDsOpticalFlowVisual, nvidia::deepstream::NvDsVideoRendererPropertyController, nvidia::deepstream::NvDsSampleProbeMessageMetaCreation, nvidia::deepstream::NvDsSampleSourceManipulator, nvidia::deepstream::NvDsSampleVideoTemplateLib, nvidia::deepstream::NvDsSampleAudioTemplateLib, nvidia::deepstream::NvDsSampleC2DSmartRecordTrigger, nvidia::deepstream::NvDsSampleD2C_SRMsgGenerator, nvidia::deepstream::NvDsResnet10_4ClassDetectorModel, nvidia::deepstream::NvDsSecondaryCarColorClassifierModel, nvidia::deepstream::NvDsSecondaryCarMakeClassifierModel, nvidia::deepstream::NvDsSecondaryVehicleTypeClassifierModel, nvidia::deepstream::NvDsSonyCAudioClassifierModel, nvidia::deepstream::NvDsCarDetector360dModel, nvidia::deepstream::NvDsSourceManipulationAction, nvidia::deepstream::NvDsMultiSourceSmartRecordAction, nvidia::deepstream::NvDsMultiSrcWarpedInput, nvidia::deepstream::NvDsMultiSrcInputWithRecord, nvidia::deepstream::NvDsOSDPropertyController, nvidia::deepstream::NvDsTilerEventHandler, Setting up a Connection from an Input to an Output, A Basic Example of Container Builder Configuration, Container builder main control section specification, Container dockerfile stage section specification. How to find out the maximum number of streams supported on given platform? DeepStream applications can be orchestrated on the edge using Kubernetes on GPU. What are the recommended values for. Smart-rec-container=<0/1> 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 cache size must be greater than the N. smart-rec-default-duration= It expects encoded frames which will be muxed and saved to the file. Are multiple parallel records on same source supported? 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. This application will work for all AI models with detailed instructions provided in individual READMEs. The inference can be done using TensorRT, NVIDIAs inference accelerator runtime or can be done in the native framework such as TensorFlow or PyTorch using Triton inference server. My component is getting registered as an abstract type. If current time is t1, content from t1 - startTime to t1 + duration will be saved to file. What is the official DeepStream Docker image and where do I get it? How can I know which extensions synchronized to registry cache correspond to a specific repository? How to use the OSS version of the TensorRT plugins in DeepStream? I'll be adding new github Issues for both items, but will leave this issue open until then. How to use the OSS version of the TensorRT plugins in DeepStream? 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. What if I dont set video cache size for smart record? I started the record with a set duration. How can I verify that CUDA was installed correctly? See NVIDIA-AI-IOT Github page for some sample DeepStream reference apps. Jetson devices) to follow the demonstration. See the C/C++ Sample Apps Source Details and Python Sample Apps and Bindings Source Details sections to learn more about the available apps. Add this bin after the audio/video parser element in the pipeline. World-class customer support and in-house procurement experts. It returns the session id which later can be used in NvDsSRStop() to stop the corresponding recording. How to find out the maximum number of streams supported on given platform? In the main control section, why is the field container_builder required? How can I interpret frames per second (FPS) display information on console? Details are available in the Readme First section of this document. . What should I do if I want to set a self event to control the record? In case a Stop event is not generated. The core function of DSL is to provide a simple and intuitive API for building, playing, and dynamically modifying NVIDIA DeepStream Pipelines. How can I display graphical output remotely over VNC? The graph below shows a typical video analytic application starting from input video to outputting insights. Path of directory to save the recorded file. Why do I see the below Error while processing H265 RTSP stream? They will take video from a file, decode, batch and then do object detection and then finally render the boxes on the screen. You can design your own application functions. This function creates the instance of smart record and returns the pointer to an allocated NvDsSRContext. How can I check GPU and memory utilization on a dGPU system? Streaming data can come over the network through RTSP or from a local file system or from a camera directly. To enable audio, a GStreamer element producing encoded audio bitstream must be linked to the asink pad of the smart record bin. Why does my image look distorted if I wrap my cudaMalloced memory into NvBufSurface and provide to NvBufSurfTransform? If you dont have any RTSP cameras, you may pull DeepStream demo container . How to get camera calibration parameters for usage in Dewarper plugin? In the deepstream-test5-app, to demonstrate the use case smart record Start / Stop events are generated every interval second. Unable to start the composer in deepstream development docker. There are two ways in which smart record events can be generated either through local events or through cloud messages. What is the correct way to do this? Running with an X server by creating virtual display, 2 . Ive configured smart-record=2 as the document said, using local event to start or end video-recording. smart-rec-start-time= This function starts writing the cached audio/video data to a file. This function creates the instance of smart record and returns the pointer to an allocated NvDsSRContext. Can users set different model repos when running multiple Triton models in single process? Why do I observe a lot of buffers being dropped when running deepstream-nvdsanalytics-test application on Jetson Nano ? By default, Smart_Record is the prefix in case this field is not set. DeepStream Reference Application - deepstream-app DeepStream 6.1.1 Release documentation. Regarding git source code compiling in compile_stage, Is it possible to compile source from HTTP archives? . How does secondary GIE crop and resize objects? Here, start time of recording is the number of seconds earlier to the current time to start the recording. This paper presents DeepStream, a novel data stream temporal clustering algorithm that dynamically detects sequential and overlapping clusters. smart-rec-interval= You may use other devices (e.g. Call NvDsSRDestroy() to free resources allocated by this function. How can I run the DeepStream sample application in debug mode? The containers are available on NGC, NVIDIA GPU cloud registry. deepstream smart record. The next step is to batch the frames for optimal inference performance. A Record is an arbitrary JSON data structure that can be created, retrieved, updated, deleted and listened to. Hardware Platform (Jetson / CPU) What is the approximate memory utilization for 1080p streams on dGPU? Uncategorized. If you set smart-record=2, this will enable smart record through cloud messages as well as local events with default configurations. Does smart record module work with local video streams? DeepStream SDK can be the foundation layer for a number of video analytic solutions like understanding traffic and pedestrians in smart city, health and safety monitoring in hospitals, self-checkout and analytics in retail, detecting component defects at a manufacturing facility and others. Based on the event, these cached frames are encapsulated under the chosen container to generate the recorded video. Container Contents 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. Please make sure you understand how to migrate your DeepStream 5.1 custom models to DeepStream 6.0 before you start. Smart-rec-container=<0/1> 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. deepstream-test5 sample application will be used for demonstrating SVR. For creating visualization artifacts such as bounding boxes, segmentation masks, labels there is a visualization plugin called Gst-nvdsosd. Add this bin after the parser element in the pipeline. What is the approximate memory utilization for 1080p streams on dGPU? Records are the main building blocks of deepstream's data-sync capabilities. 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? DeepStream provides building blocks in the form of GStreamer plugins that can be used to construct an efficient video analytic pipeline. The message format is as follows: Receiving and processing such messages from the cloud is demonstrated in the deepstream-test5 sample application. In case duration is set to zero, recording will be stopped after defaultDuration seconds set in NvDsSRCreate(). What are the recommended values for. Revision 6f7835e1. Does deepstream Smart Video Record support multi streams? This function releases the resources previously allocated by NvDsSRCreate(). My DeepStream performance is lower than expected. 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. What are the sample pipelines for nvstreamdemux? Can users set different model repos when running multiple Triton models in single process? 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. Does Gst-nvinferserver support Triton multiple instance groups? See the gst-nvdssr.h header file for more details. For unique names every source must be provided with a unique prefix. Does Gst-nvinferserver support Triton multiple instance groups? They are atomic bits of JSON data that can be manipulated and observed. Does DeepStream Support 10 Bit Video streams? How can I specify RTSP streaming of DeepStream output? How to enable TensorRT optimization for Tensorflow and ONNX models? For deployment at scale, you can build cloud-native, DeepStream applications using containers and orchestrate it all with Kubernetes platforms. smart-rec-duration= All the individual blocks are various plugins that are used. I can run /opt/nvidia/deepstream/deepstream-5.1/sources/apps/sample_apps/deepstream-testsr to implement Smart Video Record, but now I would like to ask if Smart Video Record supports multi streams? My DeepStream performance is lower than expected. How can I get more information on why the operation failed? What are the sample pipelines for nvstreamdemux? How to find the performance bottleneck in DeepStream? Nothing to do. When to start smart recording and when to stop smart recording depend on your design. The performance benchmark is also run using this application. Can I record the video with bounding boxes and other information overlaid? How to tune GPU memory for Tensorflow models? What is the difference between batch-size of nvstreammux and nvinfer? smart-rec-file-prefix= For sending metadata to the cloud, DeepStream uses Gst-nvmsgconv and Gst-nvmsgbroker plugin. The property bufapi-version is missing from nvv4l2decoder, what to do? smart-rec-dir-path= Why is the Gst-nvstreammux plugin required in DeepStream 4.0+? This application is covered in greater detail in the DeepStream Reference Application - deepstream-app chapter. The pre-processing can be image dewarping or color space conversion. Typeerror hoverintent uncaught typeerror object object method jobs I want to Hire I want to Work. On Jetson platform, I get same output when multiple Jpeg images are fed to nvv4l2decoder using multifilesrc plugin. What is the difference between DeepStream classification and Triton classification? In case a Stop event is not generated. Custom broker adapters can be created. If you set smart-record=2, this will enable smart record through cloud messages as well as local events with default configurations. After inference, the next step could involve tracking the object. Can Gst-nvinferserver support inference on multiple GPUs? Smart video record is used for event (local or cloud) based recording of original data feed. Edge AI device (AGX Xavier) is used for this demonstration. It will not conflict to any other functions in your application. The message format is as follows: Receiving and processing such messages from the cloud is demonstrated in the deepstream-test5 sample application. '/usr/lib/aarch64-linux-gnu/gstreamer-1.0/libgstlibav.so': # Configure this group to enable cloud message consumer.
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