deepstream smart record

This causes the duration of the generated video to be less than the value specified. All the individual blocks are various plugins that are used. This function starts writing the cached audio/video data to a file. because when I try deepstream-app with smart-recording configured for 1 source, the behaviour is perfect. Learn More. Last updated on Oct 27, 2021. mp4, mkv), DeepStream plugins failing to load without DISPLAY variable set when launching DS dockers, On Jetson, observing error : gstnvarguscamerasrc.cpp, execute:751 No cameras available. 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. How do I configure the pipeline to get NTP timestamps? How to get camera calibration parameters for usage in Dewarper plugin? # Use this option if message has sensor name as id instead of index (0,1,2 etc.). How can I interpret frames per second (FPS) display information on console? Smart Video Record DeepStream 6.1.1 Release documentation On Jetson platform, I observe lower FPS output when screen goes idle. How can I interpret frames per second (FPS) display information on console? 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? # default duration of recording in seconds. How to enable TensorRT optimization for Tensorflow and ONNX models? Smart video record is used for event (local or cloud) based recording of original data feed. What are the sample pipelines for nvstreamdemux? How to find out the maximum number of streams supported on given platform? 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? What is the difference between batch-size of nvstreammux and nvinfer? They are atomic bits of JSON data that can be manipulated and observed. Note that the formatted messages were sent to , lets rewrite our consumer.py to inspect the formatted messages from this topic. For the output, users can select between rendering on screen, saving the output file, or streaming the video out over RTSP. Here startTime specifies the seconds before the current time and duration specifies the seconds after the start of recording. Smart Video Record DeepStream 6.1.1 Release documentation, DeepStream Reference Application - deepstream-app DeepStream 6.1.1 Release documentation. To get started with Python, see the Python Sample Apps and Bindings Source Details in this guide and DeepStream Python in the DeepStream Python API Guide. To enable audio, a GStreamer element producing encoded audio bitstream must be linked to the asink pad of the smart record bin. The registry failed to perform an operation and reported an error message. It expects encoded frames which will be muxed and saved to the file. Can I record the video with bounding boxes and other information overlaid? The property bufapi-version is missing from nvv4l2decoder, what to do? Dieser Button zeigt den derzeit ausgewhlten Suchtyp an. Can Gst-nvinferserver support models cross processes or containers? 5.1 Adding GstMeta to buffers before nvstreammux. For sending metadata to the cloud, DeepStream uses Gst-nvmsgconv and Gst-nvmsgbroker plugin. What is the GPU requirement for running the Composer? 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. 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). How can I specify RTSP streaming of DeepStream output? If you dont have any RTSP cameras, you may pull DeepStream demo container . The first frame in the cache may not be an Iframe, so, some frames from the cache are dropped to fulfil this condition. What if I dont set default duration for smart record? Add this bin after the parser element in the pipeline. What if I dont set video cache size for smart record? This application is covered in greater detail in the DeepStream Reference Application - deepstream-app chapter. How to enable TensorRT optimization for Tensorflow and ONNX models? Gst-nvvideoconvert plugin can perform color format conversion on the frame. How do I configure the pipeline to get NTP timestamps? What is maximum duration of data I can cache as history for smart record? They will take video from a file, decode, batch and then do object detection and then finally render the boxes on the screen. What are the sample pipelines for nvstreamdemux? Why do some caffemodels fail to build after upgrading to DeepStream 6.0? How to minimize FPS jitter with DS application while using RTSP Camera Streams? Why do I see the below Error while processing H265 RTSP stream? Does DeepStream Support 10 Bit Video streams? One of the key capabilities of DeepStream is secure bi-directional communication between edge and cloud. This means, the recording cannot be started until we have an Iframe. #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 . This causes the duration of the generated video to be less than the value specified. Can Gst-nvinferserver support inference on multiple GPUs? To learn more about bi-directional capabilities, see the Bidirectional Messaging section in this guide. smart-rec-file-prefix= AGX Xavier consuming events from Kafka Cluster to trigger SVR. What trackers are included in DeepStream and which one should I choose for my application? Only the data feed with events of importance is recorded instead of always saving the whole feed. Today, Deepstream has become the silent force behind some of the world's largest banks, communication, and entertainment companies. These plugins use GPU or VIC (vision image compositor). Once frames are batched, it is sent for inference. There are two ways in which smart record events can be generated - either through local events or through cloud messages. In this documentation, we will go through, producing events to Kafka Cluster from AGX Xavier during DeepStream runtime, and. Add this bin after the audio/video parser element in the pipeline. By default, the current directory is used. There are deepstream-app sample codes to show how to implement smart recording with multiple streams. Configure DeepStream application to produce events, 4. How can I determine whether X11 is running? userData received in that callback is the one which is passed during NvDsSRStart(). See the gst-nvdssr.h header file for more details. # seconds before the current time to start recording. Does DeepStream Support 10 Bit Video streams? How to handle operations not supported by Triton Inference Server? , awarded WBR. deepstream.io Record Records are one of deepstream's core features. How to use the OSS version of the TensorRT plugins in DeepStream? It uses same caching parameters and implementation as video. 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. If current time is t1, content from t1 - startTime to t1 + duration will be saved to file. To start with, lets prepare a RTSP stream using DeepStream. In existing deepstream-test5-app only RTSP sources are enabled for smart record. Hardware Platform (Jetson / CPU) This function stops the previously started recording. What are different Memory types supported on Jetson and dGPU? When running live camera streams even for few or single stream, also output looks jittery? Below diagram shows the smart record architecture: This module provides the following APIs. 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. 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. Typeerror hoverintent uncaught typeerror object object method jobs I want to Hire I want to Work. See the deepstream_source_bin.c for more details on using this module. Observing video and/or audio stutter (low framerate), 2. What are different Memory transformations supported on Jetson and dGPU? What are different Memory types supported on Jetson and dGPU? Why do some caffemodels fail to build after upgrading to DeepStream 5.1? How does secondary GIE crop and resize objects? Why does my image look distorted if I wrap my cudaMalloced memory into NvBufSurface and provide to NvBufSurfTransform? Can Gst-nvinfereserver (DeepSream Triton plugin) run on Nano platform? # Use this option if message has sensor name as id instead of index (0,1,2 etc.). What is maximum duration of data I can cache as history for smart record? Why does the RTSP source used in gst-launch pipeline through uridecodebin show blank screen followed by the error -. Why do I see the below Error while processing H265 RTSP stream? Any data that is needed during callback function can be passed as userData. How to handle operations not supported by Triton Inference Server? Records are the main building blocks of deepstream's data-sync capabilities. The following minimum json message from the server is expected to trigger the Start/Stop of smart record. Which Triton version is supported in DeepStream 6.0 release? Both audio and video will be recorded to the same containerized file. The deepstream-test2 progresses from test1 and cascades secondary network to the primary network. The next step is to batch the frames for optimal inference performance. 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 When expanded it provides a list of search options that will switch the search inputs to match the current selection. By default, Smart_Record is the prefix in case this field is not set. Path of directory to save the recorded file. How do I obtain individual sources after batched inferencing/processing? I started the record with a set duration. This means, the recording cannot be started until we have an Iframe. deepstream-test5 sample application will be used for demonstrating SVR. Can users set different model repos when running multiple Triton models in single process? Jetson devices) to follow the demonstration. 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. Why is that? 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. How can I get more information on why the operation failed? 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. Prefix of file name for generated stream. Call NvDsSRDestroy() to free resources allocated by this function. Creating records 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. smart-rec-file-prefix= recordbin of NvDsSRContext is smart record bin which must be added to the pipeline. 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) Thanks for ur reply! The data types are all in native C and require a shim layer through PyBindings or NumPy to access them from the Python app. In the list of local_copy_files, if src is a folder, Any difference for dst ends with / or not? Why do I encounter such error while running Deepstream pipeline memory type configured and i/p buffer mismatch ip_surf 0 muxer 3? 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= Abstract This work presents SafeFac, an intelligent camera-based system for managing the safety of factory environments. Python is easy to use and widely adopted by data scientists and deep learning experts when creating AI models. Duration of recording. Streaming data can come over the network through RTSP or from a local file system or from a camera directly. Therefore, a total of startTime + duration seconds of data will be recorded. Each NetFlow record . For unique names every source must be provided with a unique prefix. My DeepStream performance is lower than expected. For example, the record starts when theres an object being detected in the visual field. I started the record with a set duration. How can I run the DeepStream sample application in debug mode? In existing deepstream-test5-app only RTSP sources are enabled for smart record. Recording also can be triggered by JSON messages received from the cloud. What if I dont set default duration for smart record? In case duration is set to zero, recording will be stopped after defaultDuration seconds set in NvDsSRCreate(). DeepStream applications can be created without coding using the Graph Composer. Uncategorized. Why is a Gst-nvegltransform plugin required on a Jetson platform upstream from Gst-nveglglessink? This parameter will ensure the recording is stopped after a predefined default duration. When running live camera streams even for few or single stream, also output looks jittery? '/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. userData received in that callback is the one which is passed during NvDsSRStart(). If you set smart-record=2, this will enable smart record through cloud messages as well as local events with default configurations. A video cache is maintained so that recorded video has frames both before and after the event is generated. How can I display graphical output remotely over VNC? When executing a graph, the execution ends immediately with the warning No system specified. How to tune GPU memory for Tensorflow models? 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= 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. That means smart record Start/Stop events are generated every 10 seconds through local events. See the gst-nvdssr.h header file for more details. Can users set different model repos when running multiple Triton models in single process? Read more about DeepStream here. How to find the performance bottleneck in DeepStream? What types of input streams does DeepStream 6.0 support? How to enable TensorRT optimization for Tensorflow and ONNX models? 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. Which Triton version is supported in DeepStream 5.1 release? The property bufapi-version is missing from nvv4l2decoder, what to do? You can design your own application functions. To make it easier to get started, DeepStream ships with several reference applications in both in C/C++ and in Python. Why am I getting following waring when running deepstream app for first time? With a lightning-fast response time - that's always free of charge -our customer success team goes above and beyond to make sure our clients have the best RFx experience possible . On Jetson platform, I get same output when multiple Jpeg images are fed to nvv4l2decoder using multifilesrc plugin. Refer to the deepstream-testsr sample application for more details on usage. To enable smart record in deepstream-test5-app set the following under [sourceX] group: smart-record=<1/2> How can I run the DeepStream sample application in debug mode? This function stops the previously started recording. The source code for this application is available in /opt/nvidia/deepstream/deepstream-6.0/sources/apps/sample_apps/deepstream-app. The containers are available on NGC, NVIDIA GPU cloud registry. How can I interpret frames per second (FPS) display information on console? A callback function can be setup to get the information of recorded video once recording stops. deepstream smart record. What are the recommended values for. You may use other devices (e.g. Freelancer 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. For deployment at scale, you can build cloud-native, DeepStream applications using containers and orchestrate it all with Kubernetes platforms. I started the record with a set duration. Why do I encounter such error while running Deepstream pipeline memory type configured and i/p buffer mismatch ip_surf 0 muxer 3? How do I configure the pipeline to get NTP timestamps? smart-rec-duration= World-class customer support and in-house procurement experts. DeepStream is only a SDK which provide HW accelerated APIs for video inferencing, video decoding, video processing, etc. Does smart record module work with local video streams? Why do I see the below Error while processing H265 RTSP stream? Prefix of file name for generated video. The message format is as follows: Receiving and processing such messages from the cloud is demonstrated in the deepstream-test5 sample application. Can users set different model repos when running multiple Triton models in single process? It comes pre-built with an inference plugin to do object detection cascaded by inference plugins to do image classification. MP4 and MKV containers are supported. This parameter will ensure the recording is stopped after a predefined default duration. How can I construct the DeepStream GStreamer pipeline? To get started, developers can use the provided reference applications. The params structure must be filled with initialization parameters required to create the instance. Therefore, a total of startTime + duration seconds of data will be recorded. 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. Please see the Graph Composer Introduction for details. DeepStream is only a SDK which provide HW accelerated APIs for video inferencing, video decoding, video processing, etc. Object tracking is performed using the Gst-nvtracker plugin. Issue Type( questions). 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. Why do I observe a lot of buffers being dropped when running deepstream-nvdsanalytics-test application on Jetson Nano ? Please make sure you understand how to migrate your DeepStream 5.1 custom models to DeepStream 6.0 before you start. 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. 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. Where can I find the DeepStream sample applications? How can I specify RTSP streaming of DeepStream output? deepstream smart record. How to find the performance bottleneck in DeepStream? How can I change the location of the registry logs? This module provides the following APIs. Here, start time of recording is the number of seconds earlier to the current time to start the recording. By performing all the compute heavy operations in a dedicated accelerator, DeepStream can achieve highest performance for video analytic applications. These 4 starter applications are available in both native C/C++ as well as in Python. How can I display graphical output remotely over VNC? How can I determine the reason? Why is that? smart-rec-start-time= What is batch-size differences for a single model in different config files (. The first frame in the cache may not be an Iframe, so, some frames from the cache are dropped to fulfil this condition. Does smart record module work with local video streams? Can Jetson platform support the same features as dGPU for Triton plugin? DeepStream provides building blocks in the form of GStreamer plugins that can be used to construct an efficient video analytic pipeline. How can I verify that CUDA was installed correctly? do you need to pass different session ids when recording from different sources? It returns the session id which later can be used in NvDsSRStop() to stop the corresponding recording. 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. What is the recipe for creating my own Docker image? Native TensorRT inference is performed using Gst-nvinfer plugin and inference using Triton is done using Gst-nvinferserver plugin. What types of input streams does DeepStream 6.2 support? During container builder installing graphs, sometimes there are unexpected errors happening while downloading manifests or extensions from registry.

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