Why am I getting following warning when running deepstream app for first time? In smart record, encoded frames are cached to save on CPU memory. Why does the deepstream-nvof-test application show the error message Device Does NOT support Optical Flow Functionality ? How can I determine the reason? Smart video record is used for event (local or cloud) based recording of original data feed. The next step is to batch the frames for optimal inference performance. Here, start time of recording is the number of seconds earlier to the current time to start the recording. In the deepstream-test5-app, to demonstrate the use case smart record Start / Stop events are generated every interval second. Can Gst-nvinfereserver (DeepSream Triton plugin) run on Nano platform? This button displays the currently selected search type. This function releases the resources previously allocated by NvDsSRCreate(). Based on the event, these cached frames are encapsulated under the chosen container to generate the recorded video. Tensor data is the raw tensor output that comes out after inference. Add this bin after the audio/video parser element in the pipeline. To enable smart record in deepstream-test5-app set the following under [sourceX] group: smart-record=<1/2> What is the difference between batch-size of nvstreammux and nvinfer? What are the recommended values for. At the bottom are the different hardware engines that are utilized throughout the application. How to find out the maximum number of streams supported on given platform? 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. This function creates the instance of smart record and returns the pointer to an allocated NvDsSRContext. Are multiple parallel records on same source supported? 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. Does smart record module work with local video streams? What is the difference between batch-size of nvstreammux and nvinfer? How to find the performance bottleneck in DeepStream? Thanks for ur reply! 1 Like a7med.hish October 4, 2021, 12:18pm #7 How can I specify RTSP streaming of DeepStream output? You can design your own application functions. On Jetson platform, I observe lower FPS output when screen goes idle. Path of directory to save the recorded file. smart-rec-duration=
Can users set different model repos when running multiple Triton models in single process? How can I know which extensions synchronized to registry cache correspond to a specific repository? The property bufapi-version is missing from nvv4l2decoder, what to do? Please help to open a new topic if still an issue to support. Learn More. How to tune GPU memory for Tensorflow models? When executing a graph, the execution ends immediately with the warning No system specified. Where can I find the DeepStream sample applications? Path of directory to save the recorded file. What is the approximate memory utilization for 1080p streams on dGPU? Python Sample Apps and Bindings Source Details, DeepStream Reference Application - deepstream-app, Install librdkafka (to enable Kafka protocol adaptor for message broker), Run deepstream-app (the reference application), Remove all previous DeepStream installations, Install CUDA Toolkit 11.4.1 (CUDA 11.4 Update 1), Run the deepstream-app (the reference application), dGPU Setup for RedHat Enterprise Linux (RHEL), Install CUDA Toolkit 11.4 (CUDA 11.4 Update 1), DeepStream Triton Inference Server Usage Guidelines, Creating custom DeepStream docker for dGPU using DeepStreamSDK package, Creating custom DeepStream docker for Jetson using DeepStreamSDK package, Python Bindings and Application Development, Expected Output for the DeepStream Reference Application (deepstream-app), DeepStream Reference Application - deepstream-test5 app, IoT Protocols supported and cloud configuration, DeepStream Reference Application - deepstream-audio app, DeepStream Audio Reference Application Architecture and Sample Graphs, DeepStream Reference Application on GitHub, Implementing a Custom GStreamer Plugin with OpenCV Integration Example, Description of the Sample Plugin: gst-dsexample, Enabling and configuring the sample plugin, Using the sample plugin in a custom application/pipeline, Implementing Custom Logic Within the Sample Plugin, Custom YOLO Model in the DeepStream YOLO App, NvMultiObjectTracker Parameter Tuning Guide, Configuration File Settings for Performance Measurement, IModelParser Interface for Custom Model Parsing, Configure TLS options in Kafka config file for DeepStream, Choosing Between 2-way TLS and SASL/Plain, Setup for RTMP/RTSP Input streams for testing, Pipelines with existing nvstreammux component, Reference AVSync + ASR (Automatic Speech Recognition) Pipelines with existing nvstreammux, Reference AVSync + ASR Pipelines (with new nvstreammux), Gst-pipeline with audiomuxer (single source, without ASR + new nvstreammux), DeepStream 3D Action Recognition App Configuration Specifications, Custom sequence preprocess lib user settings, Build Custom sequence preprocess lib and application From Source, Application Migration to DeepStream 6.0 from DeepStream 5.X, Major Application Differences with DeepStream 5.X, Running DeepStream 5.X compiled Apps in DeepStream 6.0, Compiling DeepStream 5.1 Apps in DeepStream 6.0, Low-level Object Tracker Library Migration from DeepStream 5.1 Apps to DeepStream 6.0, User/Custom Metadata Addition inside NvDsBatchMeta, Adding Custom Meta in Gst Plugins Upstream from Gst-nvstreammux, Adding metadata to the plugin before Gst-nvstreammux, Gst-nvdspreprocess File Configuration Specifications, Gst-nvinfer File Configuration Specifications, Clustering algorithms supported by nvinfer, To read or parse inference raw tensor data of output layers, Gst-nvinferserver File Configuration Specifications, Tensor Metadata Output for DownStream Plugins, NvDsTracker API for Low-Level Tracker Library, Unified Tracker Architecture for Composable Multi-Object Tracker, Visualization of Sample Outputs and Correlation Responses, Low-Level Tracker Comparisons and Tradeoffs, How to Implement a Custom Low-Level Tracker Library, NvStreamMux Tuning Solutions for specific usecases, 3.1Video 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, 1. How can I verify that CUDA was installed correctly? smart-rec-file-prefix=
The params structure must be filled with initialization parameters required to create the instance. How can I run the DeepStream sample application in debug mode? What are the sample pipelines for nvstreamdemux? 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. DeepStream pipelines can be constructed using Gst-Python, the GStreamer frameworks Python bindings. Lets go back to AGX Xavier for next step. Ive already run the program with multi streams input while theres another question Id like to ask. The DeepStream reference application is a GStreamer based solution and consists of set of GStreamer plugins encapsulating low-level APIs to form a complete graph. I started the record with a set duration. Why am I getting ImportError: No module named google.protobuf.internal when running convert_to_uff.py on Jetson AGX Xavier? What are the recommended values for. By default, Smart_Record is the prefix in case this field is not set. For unique names every source must be provided with a unique prefix. Adding a callback is a possible way. To start with, lets prepare a RTSP stream using DeepStream. For creating visualization artifacts such as bounding boxes, segmentation masks, labels there is a visualization plugin called Gst-nvdsosd. because recording might be started while the same session is actively recording for another source. Can Gst-nvinferserver support models cross processes or containers? Currently, there is no support for overlapping smart record. If you dont have any RTSP cameras, you may pull DeepStream demo container . How to find the performance bottleneck in DeepStream? # default duration of recording in seconds. Smart Video Record DeepStream 6.1.1 Release documentation, DeepStream Reference Application - deepstream-app DeepStream 6.1.1 Release documentation. DeepStream Reference Application - deepstream-app DeepStream 6.1.1 Release documentation. DeepStream builds on top of several NVIDIA libraries from the CUDA-X stack such as CUDA, TensorRT, NVIDIA Triton Inference server and multimedia libraries. Copyright 2023, NVIDIA. The deepstream-test2 progresses from test1 and cascades secondary network to the primary network. How to tune GPU memory for Tensorflow models? deepstream.io Record Records are one of deepstream's core features. See the gst-nvdssr.h header file for more details. Which Triton version is supported in DeepStream 6.0 release? How to handle operations not supported by Triton Inference Server? What is the correct way to do this? Why is the Gst-nvstreammux plugin required in DeepStream 4.0+? Smart-rec-container=<0/1>
Why is that? This function releases the resources previously allocated by NvDsSRCreate(). smart-rec-dir-path=
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 message format is as follows: Receiving and processing such messages from the cloud is demonstrated in the deepstream-test5 sample application. Why do some caffemodels fail to build after upgrading to DeepStream 6.2? Does Gst-nvinferserver support Triton multiple instance groups? Whats the throughput of H.264 and H.265 decode on dGPU (Tesla)? What if I dont set video cache size for smart record? What are the recommended values for. Gst-nvmsgconv converts the metadata into schema payload and Gst-nvmsgbroker establishes the connection to the cloud and sends the telemetry data. What trackers are included in DeepStream and which one should I choose for my application? Note that the formatted messages were sent to , lets rewrite our consumer.py to inspect the formatted messages from this topic. Dieser Button zeigt den derzeit ausgewhlten Suchtyp an. What should I do if I want to set a self event to control the record? 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. 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? How can I construct the DeepStream GStreamer pipeline? Why do I encounter such error while running Deepstream pipeline memory type configured and i/p buffer mismatch ip_surf 0 muxer 3? This causes the duration of the generated video to be less than the value specified. Can users set different model repos when running multiple Triton models in single process? Following are the default values of configuration parameters: Following fields can be used under [sourceX] groups to configure these parameters. Search for jobs related to Freelancer projects vlsi embedded or hire on the world's largest freelancing marketplace with 22m+ jobs. This function stops the previously started recording. Can Gst-nvinferserver support inference on multiple GPUs? 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). That means smart record Start/Stop events are generated every 10 seconds through local events. In case a Stop event is not generated. For unique names every source must be provided with a unique prefix. Configure DeepStream application to produce events, 4. Smart video record is used for event (local or cloud) based recording of original data feed. Why is the Gst-nvstreammux plugin required in DeepStream 4.0+? Smart-rec-container=<0/1> My DeepStream performance is lower than expected. 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. Does Gst-nvinferserver support Triton multiple instance groups? My component is getting registered as an abstract type. There are deepstream-app sample codes to show how to implement smart recording with multiple streams. do you need to pass different session ids when recording from different sources? Does DeepStream Support 10 Bit Video streams? The size of the video cache can be configured per use case. 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. This is currently supported for Kafka. 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= Any data that is needed during callback function can be passed as userData. How to get camera calibration parameters for usage in Dewarper plugin? Why do I see the below Error while processing H265 RTSP stream? How to set camera calibration parameters in Dewarper plugin config file? 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. Also included are the source code for these applications. How to use the OSS version of the TensorRT plugins in DeepStream? 5.1 Adding GstMeta to buffers before nvstreammux. Following are the default values of configuration parameters: Following fields can be used under [sourceX] groups to configure these parameters. This function creates the instance of smart record and returns the pointer to an allocated NvDsSRContext. How to find out the maximum number of streams supported on given platform? June 29, 2022; medical bills on credit report hipaa violation letter; masajes con aceite de oliva para el cabello . I started the record with a set duration. To make it easier to get started, DeepStream ships with several reference applications in both in C/C++ and in Python. The graph below shows a typical video analytic application starting from input video to outputting insights. Does DeepStream Support 10 Bit Video streams? Recording also can be triggered by JSON messages received from the cloud. 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. Jetson devices) to follow the demonstration. because when I try deepstream-app with smart-recording configured for 1 source, the behaviour is perfect. What types of input streams does DeepStream 5.1 support? NVIDIA introduced Python bindings to help you build high-performance AI applications using Python. The core SDK consists of several hardware accelerator plugins that use accelerators such as VIC, GPU, DLA, NVDEC and NVENC. If you set smart-record=2, this will enable smart record through cloud messages as well as local events with default configurations. Optimizing nvstreammux config for low-latency vs Compute, 6. Regarding git source code compiling in compile_stage, Is it possible to compile source from HTTP archives? Only the data feed with events of importance is recorded instead of always saving the whole feed. Can I stop it before that duration ends? Sink plugin shall not move asynchronously to PAUSED, 5. How does secondary GIE crop and resize objects? How can I specify RTSP streaming of DeepStream output? How can I get more information on why the operation failed? 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. 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/*. 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 interpret frames per second (FPS) display information on console? For example, the record starts when theres an object being detected in the visual field. # seconds before the current time to start recording. deepstream smart record. It expects encoded frames which will be muxed and saved to the file. See NVIDIA-AI-IOT Github page for some sample DeepStream reference apps. Why do I see tracker_confidence value as -0.1.? Why do I observe: A lot of buffers are being dropped. After pulling the container, you might open the notebook deepstream-rtsp-out.ipynb and create a RTSP source. What is the recipe for creating my own Docker image? A video cache is maintained so that recorded video has frames both before and after the event is generated. 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. In smart record, encoded frames are cached to save on CPU memory. Can I stop it before that duration ends? Does Gst-nvinferserver support Triton multiple instance groups? How can I check GPU and memory utilization on a dGPU system? DeepStream 5.1 The reference application has capability to accept input from various sources like camera, RTSP input, encoded file input, and additionally supports multi stream/source capability. Configure Kafka server (kafka_2.13-2.8.0/config/server.properties): To host Kafka server, we open first terminal: Open a third terminal, and create a topic (You may think of a topic as a YouTube Channel which others people can subscribe to): You might check topic list of a Kafka server: Now, Kafka server is ready for AGX Xavier to produce events. Running with an X server by creating virtual display, 2 . This is currently supported for Kafka. Native TensorRT inference is performed using Gst-nvinfer plugin and inference using Triton is done using Gst-nvinferserver plugin. [When user expect to use Display window], 2. The streams are captured using the CPU. The plugin for decode is called Gst-nvvideo4linux2. What are different Memory transformations supported on Jetson and dGPU? 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. How do I configure the pipeline to get NTP timestamps? How can I construct the DeepStream GStreamer pipeline? Can Gst-nvinferserver support models across processes or containers? This parameter will increase the overall memory usages of the application. 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. Last updated on Feb 02, 2023. To learn more about these security features, read the IoT chapter. When running live camera streams even for few or single stream, also output looks jittery? In existing deepstream-test5-app only RTSP sources are enabled for smart record. Size of cache in seconds. , awarded WBR. # Use this option if message has sensor name as id instead of index (0,1,2 etc.). This is the time interval in seconds for SR start / stop events generation. How can I interpret frames per second (FPS) display information on console? What happens if unsupported fields are added into each section of the YAML file? Why does the RTSP source used in gst-launch pipeline through uridecodebin show blank screen followed by the error -. Why do I observe: A lot of buffers are being dropped. Can I record the video with bounding boxes and other information overlaid? Why do I encounter such error while running Deepstream pipeline memory type configured and i/p buffer mismatch ip_surf 0 muxer 3? It will not conflict to any other functions in your application. Users can also select the type of networks to run inference. Last updated on Sep 10, 2021. Hardware Platform (Jetson / CPU) To enable audio, a GStreamer element producing encoded audio bitstream must be linked to the asink pad of the smart record bin. How to measure pipeline latency if pipeline contains open source components. The performance benchmark is also run using this application. Streaming data can come over the network through RTSP or from a local file system or from a camera directly. They will take video from a file, decode, batch and then do object detection and then finally render the boxes on the screen. DeepStream provides building blocks in the form of GStreamer plugins that can be used to construct an efficient video analytic pipeline. 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? Bei Erweiterung erscheint eine Liste mit Suchoptionen, die die Sucheingaben so ndern, dass sie zur aktuellen Auswahl passen. How do I obtain individual sources after batched inferencing/processing? What is the official DeepStream Docker image and where do I get it? My DeepStream performance is lower than expected. Ive configured smart-record=2 as the document said, using local event to start or end video-recording. This function starts writing the cached video data to a file. In existing deepstream-test5-app only RTSP sources are enabled for smart record. One of the key capabilities of DeepStream is secure bi-directional communication between edge and cloud. Why am I getting following waring when running deepstream app for first time? GstBin which is the recordbin of NvDsSRContext must be added to the pipeline. What types of input streams does DeepStream 6.0 support? To learn more about deployment with dockers, see the Docker container chapter. Surely it can. 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. Refer to this post for more details. This parameter will increase the overall memory usages of the application. This function creates the instance of smart record and returns the pointer to an allocated NvDsSRContext. Does deepstream Smart Video Record support multi streams? 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. smart-rec-duration=
# Use this option if message has sensor name as id instead of index (0,1,2 etc.). How do I obtain individual sources after batched inferencing/processing? 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.