deepstream smart record

The property bufapi-version is missing from nvv4l2decoder, what to do? Add this bin after the parser element in the pipeline. See NVIDIA-AI-IOT Github page for some sample DeepStream reference apps. Typeerror hoverintent uncaught typeerror object object method jobs I want to Hire I want to Work. Copyright 2023, NVIDIA. What are different Memory transformations supported on Jetson and dGPU? It expects encoded frames which will be muxed and saved to the file. Does DeepStream Support 10 Bit Video streams? The message format is as follows: Receiving and processing such messages from the cloud is demonstrated in the deepstream-test5 sample application. Also included are the source code for these applications. What are different Memory types supported on Jetson and dGPU? Does smart record module work with local video streams? Ive already run the program with multi streams input while theres another question Id like to ask. There are several built-in reference trackers in the SDK, ranging from high performance to high accuracy. Why do I encounter such error while running Deepstream pipeline memory type configured and i/p buffer mismatch ip_surf 0 muxer 3? How to minimize FPS jitter with DS application while using RTSP Camera Streams? The DeepStream Python application uses the Gst-Python API action to construct the pipeline and use probe functions to access data at various points in the pipeline. Tensor data is the raw tensor output that comes out after inference. The performance benchmark is also run using this application. Why does the deepstream-nvof-test application show the error message Device Does NOT support Optical Flow Functionality ? tensorflow python framework errors impl notfounderror no cpu devices are available in this process Only the data feed with events of importance is recorded instead of always saving the whole feed. How to fix cannot allocate memory in static TLS block error? If you set smart-record=2, this will enable smart record through cloud messages as well as local events with default configurations. These 4 starter applications are available in both native C/C++ as well as in Python. Gst-nvdewarper plugin can dewarp the image from a fisheye or 360 degree camera. A Record is an arbitrary JSON data structure that can be created, retrieved, updated, deleted and listened to. Observing video and/or audio stutter (low framerate), 2. # Configure this group to enable cloud message consumer. In the deepstream-test5-app, to demonstrate the use case smart record Start / Stop events are generated every interval second. How to tune GPU memory for Tensorflow models? How can I interpret frames per second (FPS) display information on console? How to use the OSS version of the TensorRT plugins in DeepStream? It returns the session id which later can be used in NvDsSRStop() to stop the corresponding recording. A video cache is maintained so that recorded video has frames both before and after the event is generated. Why am I getting following warning when running deepstream app for first time? smart-rec-interval= Powered by Discourse, best viewed with JavaScript enabled. What trackers are included in DeepStream and which one should I choose for my application? Abstract This work presents SafeFac, an intelligent camera-based system for managing the safety of factory environments. How to clean and restart? AGX Xavier consuming events from Kafka Cluster to trigger SVR. Edge AI device (AGX Xavier) is used for this demonstration. By default, Smart_Record is the prefix in case this field is not set. See the deepstream_source_bin.c for more details on using this module. Please see the Graph Composer Introduction for details. Can I stop it before that duration ends? All the individual blocks are various plugins that are used. In the list of local_copy_files, if src is a folder, Any difference for dst ends with / or not? What is the approximate memory utilization for 1080p streams on dGPU? The size of the video cache can be configured per use case. smart-rec-dir-path= DeepStream Reference Application - deepstream-app DeepStream 6.1.1 Release documentation. My DeepStream performance is lower than expected. How to handle operations not supported by Triton Inference Server? You can design your own application functions. DeepStream applications can be deployed in containers using NVIDIA container Runtime. London, awarded World book of records GstBin which is the recordbin of NvDsSRContext must be added to the pipeline. Can Gst-nvinferserver support models cross processes or containers? How can I display graphical output remotely over VNC? Unable to start the composer in deepstream development docker. 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= The end-to-end application is called deepstream-app. How to find the performance bottleneck in DeepStream? 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. Can Gst-nvinfereserver (DeepSream Triton plugin) run on Nano platform? Copyright 2020-2021, NVIDIA. Call NvDsSRDestroy() to free resources allocated by this function. How to find out the maximum number of streams supported on given platform? DeepStream is only a SDK which provide HW accelerated APIs for video inferencing, video decoding, video processing, etc. In SafeFac a set of cameras installed on the assembly line are used to captu. The core function of DSL is to provide a simple and intuitive API for building, playing, and dynamically modifying NVIDIA DeepStream Pipelines. What if I dont set video cache size for smart record? What is the approximate memory utilization for 1080p streams on dGPU? Why do I observe: A lot of buffers are being dropped. Are multiple parallel records on same source supported? Can users set different model repos when running multiple Triton models in single process? 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. The next step is to batch the frames for optimal inference performance. Batching is done using the Gst-nvstreammux plugin. 1. 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. For example, the record starts when theres an object being detected in the visual field. The params structure must be filled with initialization parameters required to create the instance. Thanks for ur reply! Any change to a record is instantly synced across all connected clients. To get started, developers can use the provided reference applications. 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. deepstream-testsr is to show the usage of smart recording interfaces. 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 to get camera calibration parameters for usage in Dewarper plugin? To learn more about bi-directional capabilities, see the Bidirectional Messaging section in this guide. If current time is t1, content from t1 - startTime to t1 + duration will be saved to file. smart-rec-cache= 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. These plugins use GPU or VIC (vision image compositor). 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. In the deepstream-test5-app, to demonstrate the use case smart record Start / Stop events are generated every interval second. When running live camera streams even for few or single stream, also output looks jittery? Why cant I paste a component after copied one? How can I verify that CUDA was installed correctly? Learn More. Any data that is needed during callback function can be passed as userData. Which Triton version is supported in DeepStream 6.0 release? In case duration is set to zero, recording will be stopped after defaultDuration seconds set in NvDsSRCreate(). 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. Therefore, a total of startTime + duration seconds of data will be recorded. Why do I encounter such error while running Deepstream pipeline memory type configured and i/p buffer mismatch ip_surf 0 muxer 3? How can I specify RTSP streaming of DeepStream output? What if I dont set video cache size for smart record? It uses same caching parameters and implementation as video. Here, start time of recording is the number of seconds earlier to the current time to start the recording. How to tune GPU memory for Tensorflow models? How does secondary GIE crop and resize objects? smart-rec-file-prefix= 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. Why do I observe a lot of buffers being dropped when running deepstream-nvdsanalytics-test application on Jetson Nano ? Does Gst-nvinferserver support Triton multiple instance groups? Are multiple parallel records on same source supported? Can Gst-nvinfereserver (DeepSream Triton plugin) run on Nano platform? Why is that? Why is the Gst-nvstreammux plugin required in DeepStream 4.0+? 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. In case duration is set to zero, recording will be stopped after defaultDuration seconds set in NvDsSRCreate(). My DeepStream performance is lower than expected. 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? MP4 and MKV containers are supported. What are the sample pipelines for nvstreamdemux? The source code for this application is available in /opt/nvidia/deepstream/deepstream-6.0/sources/apps/sample_apps/deepstream-app. How to set camera calibration parameters in Dewarper plugin config file? In this documentation, we will go through, producing events to Kafka Cluster from AGX Xavier during DeepStream runtime, and. Please make sure you understand how to migrate your DeepStream 5.1 custom models to DeepStream 6.0 before you start. 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. Based on the event, these cached frames are encapsulated under the chosen container to generate the recorded video. On Jetson platform, I get same output when multiple Jpeg images are fed to nvv4l2decoder using multifilesrc plugin. 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 enable TensorRT optimization for Tensorflow and ONNX models? How can I specify RTSP streaming of DeepStream output? This function stops the previously started recording. Nothing to do, NvDsBatchMeta not found for input buffer error while running DeepStream pipeline, The DeepStream reference application fails to launch, or any plugin fails to load, Errors occur when deepstream-app is run with a number of streams greater than 100, After removing all the sources from the pipeline crash is seen if muxer and tiler are present in the pipeline, Some RGB video format pipelines worked before DeepStream 6.1 onwards on Jetson but dont work now, UYVP video format pipeline doesnt work on Jetson, Memory usage keeps on increasing when the source is a long duration containerized files(e.g. Issue Type( questions). 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. To read more about these apps and other sample apps in DeepStream, see the C/C++ Sample Apps Source Details and Python Sample Apps and Bindings Source Details. deepstream smart record. It will not conflict to any other functions in your application. For deployment at scale, you can build cloud-native, DeepStream applications using containers and orchestrate it all with Kubernetes platforms. Why am I getting ImportError: No module named google.protobuf.internal when running convert_to_uff.py on Jetson AGX Xavier? By executing this trigger-svr.py when AGX is producing the events, we now can not only consume the messages from AGX Xavier but also produce JSON messages to in Kafka server which will be subscribed by AGX Xavier to trigger SVR. One of the key capabilities of DeepStream is secure bi-directional communication between edge and cloud. The message format is as follows: Receiving and processing such messages from the cloud is demonstrated in the deepstream-test5 sample application. Can Gst-nvinferserver support models cross processes or containers? Do I need to add a callback function or something else? How to find the performance bottleneck in DeepStream? There are two ways in which smart record events can be generated either through local events or through cloud messages. Are multiple parallel records on same source supported? Jetson devices) to follow the demonstration. MP4 and MKV containers are supported. For creating visualization artifacts such as bounding boxes, segmentation masks, labels there is a visualization plugin called Gst-nvdsosd. DeepStream supports application development in C/C++ and in Python through the Python bindings. Why do I see the below Error while processing H265 RTSP stream? DeepStream applications can be orchestrated on the edge using Kubernetes on GPU. With DeepStream you can trial our platform for free for 14-days, no commitment required. Smart-rec-container=<0/1> 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. deepstream smart record. 1 Like a7med.hish October 4, 2021, 12:18pm #7 deepstream smart record. Why do I see the below Error while processing H265 RTSP stream? It will not conflict to any other functions in your application. Why do some caffemodels fail to build after upgrading to DeepStream 6.0? # seconds before the current time to start recording. When expanded it provides a list of search options that will switch the search inputs to match the current selection. Size of video cache in seconds. Last updated on Feb 02, 2023. Can Gst-nvinferserver support inference on multiple GPUs? Why does the RTSP source used in gst-launch pipeline through uridecodebin show blank screen followed by the error -. Where can I find the DeepStream sample applications? How can I display graphical output remotely over VNC? How can I check GPU and memory utilization on a dGPU system? Modifications made: (1) based on the results of the real-time video analysis, and: (2) by the application user through external input. How to enable TensorRT optimization for Tensorflow and ONNX models? The registry failed to perform an operation and reported an error message. Does smart record module work with local video streams? Why is that? Whats the throughput of H.264 and H.265 decode on dGPU (Tesla)? What is the GPU requirement for running the Composer? Ive configured smart-record=2 as the document said, using local event to start or end video-recording. Hardware Platform (Jetson / CPU) Below diagram shows the smart record architecture: From DeepStream 6.0, Smart Record also supports audio. Smart Video Record DeepStream 6.1.1 Release documentation, DeepStream Reference Application - deepstream-app DeepStream 6.1.1 Release documentation. How can I interpret frames per second (FPS) display information on console? Gst-nvvideoconvert plugin can perform color format conversion on the frame. Prefix of file name for generated stream. There are two ways in which smart record events can be generated either through local events or through cloud messages. Refer to this post for more details. Why is that? Where can I find the DeepStream sample applications? #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), DeepStream Triton Inference Server Usage Guidelines, DeepStream Reference Application - deepstream-app, 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, ONNX Parser replace instructions (x86 only), 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, IModelParser Interface for Custom Model Parsing, Configure TLS options in Kafka config file for DeepStream, Choosing Between 2-way TLS and SASL/Plain, Application Migration to DeepStream 5.0 from DeepStream 4.X, Major Application Differences with DeepStream 4.X, Running DeepStream 4.x compiled Apps in DeepStream 5.0, Compiling DeepStream 4.X Apps in DeepStream 5.0, 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-nvinfer File Configuration Specifications, To read or parse inference raw tensor data of output layers, Gst-nvinferserver File Configuration Specifications, Low-Level Tracker Library Comparisons and Tradeoffs, 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, You are migrating from DeepStream 4.0+ to DeepStream 5.0, 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 on dGPU only, 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. By performing all the compute heavy operations in a dedicated accelerator, DeepStream can achieve highest performance for video analytic applications. From the pallet rack to workstation, #Rexroth&#39;s MP1000R mobile robot offers a smart, easy-to-implement material transport solution to help you boost What is the official DeepStream Docker image and where do I get it? This is the time interval in seconds for SR start / stop events generation. How can I know which extensions synchronized to registry cache correspond to a specific repository? 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. There are two ways in which smart record events can be generated - either through local events or through cloud messages. If you dont have any RTSP cameras, you may pull DeepStream demo container . What is the difference between DeepStream classification and Triton classification? Sample Helm chart to deploy DeepStream application is available on NGC. How can I determine the reason? How to measure pipeline latency if pipeline contains open source components. The following minimum json message from the server is expected to trigger the Start/Stop of smart record. DeepStream is an optimized graph architecture built using the open source GStreamer framework. Can Jetson platform support the same features as dGPU for Triton plugin? 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. By default, the current directory is used. How can I interpret frames per second (FPS) display information on console? Dieser Button zeigt den derzeit ausgewhlten Suchtyp an. 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. What is the official DeepStream Docker image and where do I get it? That means smart record Start/Stop events are generated every 10 seconds through local events. In the main control section, why is the field container_builder required? I started the record with a set duration. Why does the RTSP source used in gst-launch pipeline through uridecodebin show blank screen followed by the error -. My component is getting registered as an abstract type. A callback function can be setup to get the information of recorded video once recording stops. For unique names every source must be provided with a unique prefix. Copyright 2021, Season. See the deepstream_source_bin.c for more details on using this module. Here startTime specifies the seconds before the current time and duration specifies the seconds after the start of recording. This function starts writing the cached audio/video data to a file. How can I check GPU and memory utilization on a dGPU system? Can users set different model repos when running multiple Triton models in single process? 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. Running without an X server (applicable for applications supporting RTSP streaming output), DeepStream Triton Inference Server Usage Guidelines, Creating custom DeepStream docker for dGPU using DeepStreamSDK package, Creating custom DeepStream docker for Jetson using DeepStreamSDK package, Recommended Minimal L4T Setup necessary to run the new docker images on Jetson, Python Sample Apps and Bindings Source Details, Python Bindings and Application Development, DeepStream Reference Application - deepstream-app, Expected Output for the DeepStream Reference Application (deepstream-app), DeepStream Reference Application - deepstream-test5 app, IoT Protocols supported and cloud configuration, Sensor Provisioning Support over REST API (Runtime sensor add/remove capability), DeepStream Reference Application - deepstream-audio app, DeepStream Audio Reference Application Architecture and Sample Graphs, DeepStream Reference Application - deepstream-nmos app, Using Easy-NMOS for NMOS Registry and Controller, 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, Components Common Configuration Specifications, libnvds_3d_dataloader_realsense Configuration Specifications, libnvds_3d_depth2point_datafilter Configuration Specifications, libnvds_3d_gl_datarender Configuration Specifications, libnvds_3d_depth_datasource Depth file source Specific Configuration Specifications, 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), Sensor provisioning with deepstream-test5-app, Callback implementation for REST API endpoints, DeepStream 3D Action Recognition App Configuration Specifications, Custom sequence preprocess lib user settings, Build Custom sequence preprocess lib and application From Source, Depth Color Capture to 2D Rendering Pipeline Overview, Depth Color Capture to 3D Point Cloud Processing and Rendering, Run RealSense Camera for Depth Capture and 2D Rendering Examples, Run 3D Depth Capture, Point Cloud filter, and 3D Points Rendering Examples, DeepStream 3D Depth Camera App Configuration Specifications, DS3D Custom Components Configuration Specifications, Lidar Point Cloud to 3D Point Cloud Processing and Rendering, Run Lidar Point Cloud Data File reader, Point Cloud Inferencing filter, and Point Cloud 3D rendering and data dump Examples, DeepStream Lidar Inference App Configuration Specifications, Networked Media Open Specifications (NMOS) in DeepStream, DeepStream Can Orientation App Configuration Specifications, Application Migration to DeepStream 6.2 from DeepStream 6.1, Running DeepStream 6.1 compiled Apps in DeepStream 6.2, Compiling DeepStream 6.1 Apps in DeepStream 6.2, 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 Configuration File Specifications, Tensor Metadata Output for Downstream Plugins, NvDsTracker API for Low-Level Tracker Library, Unified Tracker Architecture for Composable Multi-Object Tracker, Low-Level Tracker Comparisons and Tradeoffs, Setup and Visualization of Tracker Sample Pipelines, How to Implement a Custom Low-Level Tracker Library, NvStreamMux Tuning Solutions for specific use cases, 3.1. gina tolleson santa barbara magazine, vibe organic kitchen menu calories, saint paisios writings,