The message format is as follows: Receiving and processing such messages from the cloud is demonstrated in the deepstream-test5 sample application. What is maximum duration of data I can cache as history for smart record? The core SDK consists of several hardware accelerator plugins that use accelerators such as VIC, GPU, DLA, NVDEC and NVENC. What if I dont set default duration for smart record? smart-rec-start-time= Copyright 2020-2021, NVIDIA. Unable to start the composer in deepstream development docker. Why do I see tracker_confidence value as -0.1.? Developers can start with deepstream-test1 which is almost like a DeepStream hello world. How can I display graphical output remotely over VNC? . The following minimum json message from the server is expected to trigger the Start/Stop of smart record. How can I interpret frames per second (FPS) display information on console? Edge AI device (AGX Xavier) is used for this demonstration. How to use the OSS version of the TensorRT plugins in DeepStream? By default, the current directory is used. Python is easy to use and widely adopted by data scientists and deep learning experts when creating AI models. DeepStream supports application development in C/C++ and in Python through the Python bindings. Why does the RTSP source used in gst-launch pipeline through uridecodebin show blank screen followed by the error -. Surely it can. The params structure must be filled with initialization parameters required to create the instance. DeepStream Reference Application - deepstream-app DeepStream 6.1.1 Release documentation. This button displays the currently selected search type. What is the approximate memory utilization for 1080p streams on dGPU? If current time is t1, content from t1 - startTime to t1 + duration will be saved to file. What are different Memory types supported on Jetson and dGPU? Why does the deepstream-nvof-test application show the error message Device Does NOT support Optical Flow Functionality ? If you dont have any RTSP cameras, you may pull DeepStream demo container . How to find the performance bottleneck in DeepStream? What is the official DeepStream Docker image and where do I get it? 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= On Jetson platform, I observe lower FPS output when screen goes idle. When to start smart recording and when to stop smart recording depend on your design. because recording might be started while the same session is actively recording for another source. deepstream-test5 sample application will be used for demonstrating SVR. Ive configured smart-record=2 as the document said, using local event to start or end video-recording. Here, start time of recording is the number of seconds earlier to the current time to start the recording. The containers are available on NGC, NVIDIA GPU cloud registry. In this app, developers will learn how to build a GStreamer pipeline using various DeepStream plugins. Where can I find the DeepStream sample applications? Can users set different model repos when running multiple Triton models in single process? Prefix of file name for generated stream. Read more about DeepStream here. By default, Smart_Record is the prefix in case this field is not set. Users can also select the type of networks to run inference. 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/*. The SDK ships with several simple applications, where developers can learn about basic concepts of DeepStream, constructing a simple pipeline and then progressing to build more complex applications. In existing deepstream-test5-app only RTSP sources are enabled for smart record. How can I run the DeepStream sample application in debug mode? An example of each: Its lightning-fast realtime data platform helps developers of any background or skillset build apps, IoT platforms, and backends that always stay in sync - without having to worry about infrastructure or . What is the recipe for creating my own Docker image? What is the recipe for creating my own Docker image? 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. AGX Xavier consuming events from Kafka Cluster to trigger SVR. When executing a graph, the execution ends immediately with the warning No system specified. A video cache is maintained so that recorded video has frames both before and after the event is generated. Why am I getting ImportError: No module named google.protobuf.internal when running convert_to_uff.py on Jetson AGX Xavier? Changes are persisted and synced across all connected devices in milliseconds. Why do I see the below Error while processing H265 RTSP stream? Please see the Graph Composer Introduction for details. Why is that? The inference can use the GPU or DLA (Deep Learning accelerator) for Jetson AGX Xavier and Xavier NX. How can I change the location of the registry logs? This is the time interval in seconds for SR start / stop events generation. Bei Erweiterung erscheint eine Liste mit Suchoptionen, die die Sucheingaben so ndern, dass sie zur aktuellen Auswahl passen. Also included are the source code for these applications. There is an option to configure a tracker. To enable smart record in deepstream-test5-app set the following under [sourceX] group: smart-record=<1/2> Call NvDsSRDestroy() to free resources allocated by this function. What should I do if I want to set a self event to control the record? How can I determine whether X11 is running? 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. Whats the throughput of H.264 and H.265 decode on dGPU (Tesla)? In the deepstream-test5-app, to demonstrate the use case smart record Start / Stop events are generated every interval second. What is maximum duration of data I can cache as history for smart record? Can Gst-nvinferserver support models cross processes or containers? To make it easier to get started, DeepStream ships with several reference applications in both in C/C++ and in Python. See the deepstream_source_bin.c for more details on using this module. Why do I see the below Error while processing H265 RTSP stream? Yes, on both accounts. Note that the formatted messages were sent to , lets rewrite our consumer.py to inspect the formatted messages from this topic. Refer to this post for more details. By performing all the compute heavy operations in a dedicated accelerator, DeepStream can achieve highest performance for video analytic applications. For unique names every source must be provided with a unique prefix. smart-rec-dir-path= The size of the video cache can be configured per use case. 5.1 Adding GstMeta to buffers before nvstreammux. Tensor data is the raw tensor output that comes out after inference. How do I configure the pipeline to get NTP timestamps? What is the difference between batch-size of nvstreammux and nvinfer? 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. 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. Typeerror hoverintent uncaught typeerror object object method jobs I want to Hire I want to Work. Prefix of file name for generated video. Why do I observe a lot of buffers being dropped when running deepstream-nvdsanalytics-test application on Jetson Nano ? The property bufapi-version is missing from nvv4l2decoder, what to do? For sending metadata to the cloud, DeepStream uses Gst-nvmsgconv and Gst-nvmsgbroker plugin. Are multiple parallel records on same source supported? Copyright 2020-2021, NVIDIA. MP4 and MKV containers are supported. Here startTime specifies the seconds before the current time and duration specifies the seconds after the start of recording. The pre-processing can be image dewarping or color space conversion. # Use this option if message has sensor name as id instead of index (0,1,2 etc.). DeepStream applications can be deployed in containers using NVIDIA container Runtime. Configure DeepStream application to produce events, 4. DeepStream builds on top of several NVIDIA libraries from the CUDA-X stack such as CUDA, TensorRT, NVIDIA Triton Inference server and multimedia libraries. DeepStream is a streaming analytic toolkit to build AI-powered applications. For example, the record starts when theres an object being detected in the visual field. 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: smart-record=<1/2> 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. After decoding, there is an optional image pre-processing step where the input image can be pre-processed before inference. Running with an X server by creating virtual display, 2 . How to enable TensorRT optimization for Tensorflow and ONNX models? smart-rec-duration= The first frame in the cache may not be an Iframe, so, some frames from the cache are dropped to fulfil this condition. Why is the Gst-nvstreammux plugin required in DeepStream 4.0+? Streaming data can come over the network through RTSP or from a local file system or from a camera directly. Here startTime specifies the seconds before the current time and duration specifies the seconds after the start of recording. Does DeepStream Support 10 Bit Video streams? Refer to the deepstream-testsr sample application for more details on usage. Can Jetson platform support the same features as dGPU for Triton plugin? Does Gst-nvinferserver support Triton multiple instance groups? Produce device-to-cloud event messages, 5. It returns the session id which later can be used in NvDsSRStop() to stop the corresponding recording. 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. This is currently supported for Kafka. What are different Memory transformations supported on Jetson and dGPU? # Use this option if message has sensor name as id instead of index (0,1,2 etc.). How can I check GPU and memory utilization on a dGPU system? What are the recommended values for. deepstream-testsr is to show the usage of smart recording interfaces. deepstream smart record. The params structure must be filled with initialization parameters required to create the instance. NVIDIA introduced Python bindings to help you build high-performance AI applications using Python. What is batch-size differences for a single model in different config files (. London, awarded World book of records This is the time interval in seconds for SR start / stop events generation. Are multiple parallel records on same source supported? Below diagram shows the smart record architecture: From DeepStream 6.0, Smart Record also supports audio. After pulling the container, you might open the notebook deepstream-rtsp-out.ipynb and create a RTSP source. To learn more about deployment with dockers, see the Docker container chapter. 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 . How to measure pipeline latency if pipeline contains open source components. What are different Memory transformations supported on Jetson and dGPU? 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. Smart Video Record DeepStream 6.1.1 Release documentation Adding a callback is a possible way. There are several built-in reference trackers in the SDK, ranging from high performance to high accuracy. What should I do if I want to set a self event to control the record? Why is that? Does Gst-nvinferserver support Triton multiple instance groups? Can Gst-nvinfereserver (DeepSream Triton plugin) run on Nano platform? 1 Like a7med.hish October 4, 2021, 12:18pm #7 For creating visualization artifacts such as bounding boxes, segmentation masks, labels there is a visualization plugin called Gst-nvdsosd. Only the data feed with events of importance is recorded instead of always saving the whole feed. Why do some caffemodels fail to build after upgrading to DeepStream 6.2? What if I dont set default duration for smart record? A callback function can be setup to get the information of recorded audio/video once recording stops. Can I stop it before that duration ends? How can I determine the reason? There are two ways in which smart record events can be generated either through local events or through cloud messages. When running live camera streams even for few or single stream, also output looks jittery? 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. This function creates the instance of smart record and returns the pointer to an allocated NvDsSRContext. One of the key capabilities of DeepStream is secure bi-directional communication between edge and cloud. How to find the performance bottleneck in DeepStream? Why is the Gst-nvstreammux plugin required in DeepStream 4.0+? Based on the event, these cached frames are encapsulated under the chosen container to generate the recorded video. This application is covered in greater detail in the DeepStream Reference Application - deepstream-app chapter. The streams are captured using the CPU. 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? Abstract This work presents SafeFac, an intelligent camera-based system for managing the safety of factory environments. This means, the recording cannot be started until we have an Iframe. See the deepstream_source_bin.c for more details on using this module. Why do I see the below Error while processing H265 RTSP stream? Search for jobs related to Freelancer projects vlsi embedded or hire on the world's largest freelancing marketplace with 22m+ jobs. smart-rec-interval= It expects encoded frames which will be muxed and saved to the file. How to enable TensorRT optimization for Tensorflow and ONNX models? Sink plugin shall not move asynchronously to PAUSED, 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 Yaml File Configuration Specifications, DS-Riva TTS Yaml File Configuration Specifications, You are migrating from DeepStream 5.x to DeepStream 6.0, NvDsBatchMeta not found for input buffer error while running DeepStream pipeline, The DeepStream reference application fails to launch, or any plugin fails to load, Application fails to run when the neural network is changed, The DeepStream application is running slowly (Jetson only), The DeepStream application is running slowly, NVIDIA Jetson Nano, deepstream-segmentation-test starts as expected, but crashes after a few minutes rebooting the system, Errors occur when deepstream-app is run with a number of streams greater than 100, Errors occur when deepstream-app fails to load plugin Gst-nvinferserver, Tensorflow models are running into OOM (Out-Of-Memory) problem, Memory usage keeps on increasing when the source is a long duration containerized files(e.g. Please make sure you understand how to migrate your DeepStream 5.1 custom models to DeepStream 6.0 before you start. The next step is to batch the frames for optimal inference performance. Following are the default values of configuration parameters: Following fields can be used under [sourceX] groups to configure these parameters. Optimizing nvstreammux config for low-latency vs Compute, 6. Once frames are batched, it is sent for inference. # Use this option if message has sensor name as id instead of index (0,1,2 etc.). That means smart record Start/Stop events are generated every 10 seconds through local events. Uncategorized. 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. My DeepStream performance is lower than expected. 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. DeepStream is an optimized graph architecture built using the open source GStreamer framework. userData received in that callback is the one which is passed during NvDsSRStart(). I started the record with a set duration. All the individual blocks are various plugins that are used. How to fix cannot allocate memory in static TLS block error? Last updated on Feb 02, 2023. What is maximum duration of data I can cache as history for smart record? 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. 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. How can I verify that CUDA was installed correctly? Following are the default values of configuration parameters: Following fields can be used under [sourceX] groups to configure these parameters. Can I record the video with bounding boxes and other information overlaid? do you need to pass different session ids when recording from different sources? If you are familiar with gstreamer programming, it is very easy to add multiple 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. 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. Each NetFlow record . Smart Video Record DeepStream 6.1.1 Release documentation, DeepStream Reference Application - deepstream-app DeepStream 6.1.1 Release documentation. The plugin for decode is called Gst-nvvideo4linux2. Why do I observe: A lot of buffers are being dropped. How to tune GPU memory for Tensorflow models? How can I determine whether X11 is running? How to handle operations not supported by Triton Inference Server? How to clean and restart? Hardware Platform (Jetson / CPU) Batching is done using the Gst-nvstreammux plugin. There are two ways in which smart record events can be generated - either through local events or through cloud messages. Thanks again. Details are available in the Readme First section of this document. How do I obtain individual sources after batched inferencing/processing? Smart-rec-container=<0/1> Why am I getting ImportError: No module named google.protobuf.internal when running convert_to_uff.py on Jetson AGX Xavier? This parameter will increase the overall memory usages of the application. 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. # Configure this group to enable cloud message consumer. What is the recipe for creating my own Docker image? '/usr/lib/aarch64-linux-gnu/gstreamer-1.0/libgstlibav.so': # Configure this group to enable cloud message consumer. Any data that is needed during callback function can be passed as userData. By default, the current directory is used. Nothing to do. What are the recommended values for. Does deepstream Smart Video Record support multi streams? , awarded WBR. What is the difference between batch-size of nvstreammux and nvinfer? Can Jetson platform support the same features as dGPU for Triton plugin? Are multiple parallel records on same source supported? On Jetson platform, I get same output when multiple Jpeg images are fed to nvv4l2decoder using multifilesrc plugin. This module provides the following APIs. mp4, mkv), Errors occur when deepstream-app is run with a number of RTSP streams and with NvDCF tracker, Troubleshooting in NvDCF Parameter Tuning, Frequent tracking ID changes although no nearby objects, Frequent tracking ID switches to the nearby objects. What is the GPU requirement for running the Composer? Last updated on Oct 27, 2021. Whats the throughput of H.264 and H.265 decode on dGPU (Tesla)? 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. If current time is t1, content from t1 - startTime to t1 + duration will be saved to file. What is the difference between DeepStream classification and Triton classification? 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.
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