deepstream smart record

Does DeepStream Support 10 Bit Video streams? 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. Does Gst-nvinferserver support Triton multiple instance groups? The following minimum json message from the server is expected to trigger the Start/Stop of smart record. Are multiple parallel records on same source supported? Issue Type( questions). This means, the recording cannot be started until we have an Iframe. DeepStream 5.1 How to enable TensorRT optimization for Tensorflow and ONNX models? How can I verify that CUDA was installed correctly? DeepStream builds on top of several NVIDIA libraries from the CUDA-X stack such as CUDA, TensorRT, NVIDIA Triton Inference server and multimedia libraries. The source code for this application is available in /opt/nvidia/deepstream/deepstream-6.0/sources/apps/sample_apps/deepstream-app. When running live camera streams even for few or single stream, also output looks jittery? What are different Memory types supported on Jetson and dGPU? There are deepstream-app sample codes to show how to implement smart recording with multiple streams. Why is the Gst-nvstreammux plugin required in DeepStream 4.0+? The core function of DSL is to provide a simple and intuitive API for building, playing, and dynamically modifying NVIDIA DeepStream Pipelines. , awarded WBR. It expects encoded frames which will be muxed and saved to the file. If you dont have any RTSP cameras, you may pull DeepStream demo container . 5.1 Adding GstMeta to buffers before nvstreammux. do you need to pass different session ids when recording from different sources? Developers can start with deepstream-test1 which is almost like a DeepStream hello world. Below diagram shows the smart record architecture: This module provides the following APIs. In this documentation, we will go through Host Kafka server, producing events to Kafka Cluster from AGX Xavier during DeepStream runtime, and Why am I getting following waring when running deepstream app for first time? 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 How to tune GPU memory for Tensorflow models? They are atomic bits of JSON data that can be manipulated and observed. Why is that? This parameter will ensure the recording is stopped after a predefined default duration. To get started, developers can use the provided reference applications. Why do I see the below Error while processing H265 RTSP stream? See the deepstream_source_bin.c for more details on using this module. 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. What are different Memory types supported on Jetson and dGPU? What if I dont set video cache size for smart record? What is the official DeepStream Docker image and where do I get it? Refer to the deepstream-testsr sample application for more details on usage. Here startTime specifies the seconds before the current time and duration specifies the seconds after the start of recording. What types of input streams does DeepStream 5.1 support? Once frames are batched, it is sent for inference. This causes the duration of the generated video to be less than the value specified. smart-rec-start-time= deepstream smart record. These 4 starter applications are available in both native C/C++ as well as in Python. How do I configure the pipeline to get NTP timestamps? Can Gst-nvinferserver support inference on multiple GPUs? Adding a callback is a possible way. Smart video record is used for event (local or cloud) based recording of original data feed. Each NetFlow record . deepstream.io Record Records are one of deepstream's core features. 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. Why is that? Users can also select the type of networks to run inference. It will not conflict to any other functions in your application. If you are familiar with gstreamer programming, it is very easy to add multiple streams. Revision 6f7835e1. Path of directory to save the recorded file. Running with an X server by creating virtual display, 2 . Path of directory to save the recorded file. DeepStream is only a SDK which provide HW accelerated APIs for video inferencing, video decoding, video processing, etc. To learn more about bi-directional capabilities, see the Bidirectional Messaging section in this guide. How to find out the maximum number of streams supported on given platform? Where can I find the DeepStream sample applications? World-class customer support and in-house procurement experts. How to find the performance bottleneck in DeepStream? How to find the performance bottleneck in DeepStream? Why do I observe a lot of buffers being dropped when running deepstream-nvdsanalytics-test application on Jetson Nano ? Smart-rec-container=<0/1> Why does my image look distorted if I wrap my cudaMalloced memory into NvBufSurface and provide to NvBufSurfTransform? Nothing to do. 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. Following are the default values of configuration parameters: Following fields can be used under [sourceX] groups to configure these parameters. How can I run the DeepStream sample application in debug mode? When expanded it provides a list of search options that will switch the search inputs to match the current selection. In the deepstream-test5-app, to demonstrate the use case smart record Start / Stop events are generated every interval second. 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= There are two ways in which smart record events can be generated - either through local events or through cloud messages. During container builder installing graphs, sometimes there are unexpected errors happening while downloading manifests or extensions from registry. What if I dont set default duration for smart record? This function stops the previously started recording. How to enable TensorRT optimization for Tensorflow and ONNX models? Copyright 2021, Season. The params structure must be filled with initialization parameters required to create the instance. 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). Therefore, a total of startTime + duration seconds of data will be recorded. Do I need to add a callback function or something else? 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. The core SDK consists of several hardware accelerator plugins that use accelerators such as VIC, GPU, DLA, NVDEC and NVENC. For the output, users can select between rendering on screen, saving the output file, or streaming the video out over RTSP. What are different Memory transformations supported on Jetson and dGPU? Which Triton version is supported in DeepStream 5.1 release? By performing all the compute heavy operations in a dedicated accelerator, DeepStream can achieve highest performance for video analytic applications. Search for jobs related to Freelancer projects vlsi embedded or hire on the world's largest freelancing marketplace with 22m+ jobs. Thanks again. This paper presents DeepStream, a novel data stream temporal clustering algorithm that dynamically detects sequential and overlapping clusters. London, awarded World book of records Based on the event, these cached frames are encapsulated under the chosen container to generate the recorded video. What are the sample pipelines for nvstreamdemux? How to tune GPU memory for Tensorflow models? deepstream-test5 sample application will be used for demonstrating SVR. By default, Smart_Record is the prefix in case this field is not set. What types of input streams does DeepStream 6.2 support? Note that the formatted messages were sent to , lets rewrite our consumer.py to inspect the formatted messages from this topic. How to find out the maximum number of streams supported on given platform? What if I dont set default duration for smart record? 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. My DeepStream performance is lower than expected. DeepStream provides building blocks in the form of GStreamer plugins that can be used to construct an efficient video analytic pipeline. What is the recipe for creating my own Docker image? How to get camera calibration parameters for usage in Dewarper plugin? Whats the throughput of H.264 and H.265 decode on dGPU (Tesla)? After decoding, there is an optional image pre-processing step where the input image can be pre-processed before inference. What if I dont set default duration for smart record? With DeepStream you can trial our platform for free for 14-days, no commitment required. Powered by Discourse, best viewed with JavaScript enabled. Smart-rec-container=<0/1> Changes are persisted and synced across all connected devices in milliseconds. You can design your own application functions. 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 I stop it before that duration ends? How can I determine the reason? My component is getting registered as an abstract type. This function creates the instance of smart record and returns the pointer to an allocated NvDsSRContext. For example, the record starts when theres an object being detected in the visual field. 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. DeepStream Reference Application - deepstream-app DeepStream 6.1.1 Release documentation. Any change to a record is instantly synced across all connected clients. 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? In existing deepstream-test5-app only RTSP sources are enabled for smart record. Only the data feed with events of importance is recorded instead of always saving the whole feed. Whats the throughput of H.264 and H.265 decode on dGPU (Tesla)? Why cant I paste a component after copied one? What is maximum duration of data I can cache as history for smart record? Why do I see the below Error while processing H265 RTSP stream? Why am I getting following warning when running deepstream app for first time? What is the approximate memory utilization for 1080p streams on dGPU? Why do I observe a lot of buffers being dropped When running deepstream-nvdsanalytics-test application on Jetson Nano ? Which Triton version is supported in DeepStream 6.0 release? To enable smart record in deepstream-test5-app set the following under [sourceX] group: smart-record=<1/2> because when I try deepstream-app with smart-recording configured for 1 source, the behaviour is perfect. In the list of local_copy_files, if src is a folder, Any difference for dst ends with / or not? Why do I see the below Error while processing H265 RTSP stream? What is the official DeepStream Docker image and where do I get it? 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. What should I do if I want to set a self event to control the record? For developers looking to build their custom application, the deepstream-app can be a bit overwhelming to start development. How can I run the DeepStream sample application in debug mode? How can I construct the DeepStream GStreamer pipeline? By default, Smart_Record is the prefix in case this field is not set. Can I record the video with bounding boxes and other information overlaid? This application is covered in greater detail in the DeepStream Reference Application - deepstream-app chapter. However, when configuring smart-record for multiple sources the duration of the videos are no longer consistent (different duration for each video). smart-rec-interval= What is the correct way to do this? This is currently supported for Kafka. A Record is an arbitrary JSON data structure that can be created, retrieved, updated, deleted and listened to. How does secondary GIE crop and resize objects? That means smart record Start/Stop events are generated every 10 seconds through local events. Are multiple parallel records on same source supported? This parameter will increase the overall memory usages of the application. How to measure pipeline latency if pipeline contains open source components. In smart record, encoded frames are cached to save on CPU memory. See the C/C++ Sample Apps Source Details and Python Sample Apps and Bindings Source Details sections to learn more about the available apps. There are several built-in reference trackers in the SDK, ranging from high performance to high accuracy. Why do I encounter such error while running Deepstream pipeline memory type configured and i/p buffer mismatch ip_surf 0 muxer 3? 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. By executing this consumer.py when AGX Xavier is producing the events, we now can read the events produced from AGX Xavier: Note that messages we received earlier is device-to-cloud messages produced from AGX Xavier. Surely it can. smart-rec-interval= How to set camera calibration parameters in Dewarper plugin config file? 1. Why does the RTSP source used in gst-launch pipeline through uridecodebin show blank screen followed by the error -. Here startTime specifies the seconds before the current time and duration specifies the seconds after the start of recording. What is the difference between DeepStream classification and Triton classification? deepstream-testsr is to show the usage of smart recording interfaces. After pulling the container, you might open the notebook deepstream-rtsp-out.ipynb and create a RTSP source. Please help to open a new topic if still an issue to support. You may also refer to Kafka Quickstart guide to get familiar with Kafka. How can I know which extensions synchronized to registry cache correspond to a specific repository? In this documentation, we will go through, producing events to Kafka Cluster from AGX Xavier during DeepStream runtime, and. 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. This is the time interval in seconds for SR start / stop events generation. To learn more about these security features, read the IoT chapter. Size of cache in seconds. Gst-nvvideoconvert plugin can perform color format conversion on the frame. This application will work for all AI models with detailed instructions provided in individual READMEs. To enable audio, a GStreamer element producing encoded audio bitstream must be linked to the asink pad of the smart record bin. When running live camera streams even for few or single stream, also output looks jittery? How do I obtain individual sources after batched inferencing/processing? DeepStream applications can be created without coding using the Graph Composer. Therefore, a total of startTime + duration seconds of data will be recorded. It expects encoded frames which will be muxed and saved to the file. DeepStream is a streaming analytic toolkit to build AI-powered applications. How can I determine the reason? Here, start time of recording is the number of seconds earlier to the current time to start the recording. If you set smart-record=2, this will enable smart record through cloud messages as well as local events with default configurations. AGX Xavier consuming events from Kafka Cluster to trigger SVR. That means smart record Start/Stop events are generated every 10 seconds through local events. recordbin of NvDsSRContext is smart record bin which must be added to the pipeline. 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. How can I interpret frames per second (FPS) display information on console? See the deepstream_source_bin.c for more details on using this module. The message format is as follows: Receiving and processing such messages from the cloud is demonstrated in the deepstream-test5 sample application. Both audio and video will be recorded to the same containerized file. How can I change the location of the registry logs? How to minimize FPS jitter with DS application while using RTSP Camera Streams? because recording might be started while the same session is actively recording for another source. How does secondary GIE crop and resize objects? Smart Video Record DeepStream 6.1.1 Release documentation DeepStream is optimized for NVIDIA GPUs; the application can be deployed on an embedded edge device running Jetson platform or can be deployed on larger edge or datacenter GPUs like T4.

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