deepstream smart record deepstream smart record

Last updated on Feb 02, 2023. This function starts writing the cached audio/video data to a file. What are different Memory transformations supported on Jetson and dGPU? Refer to the deepstream-testsr sample application for more details on usage. What types of input streams does DeepStream 6.0 support? DeepStream 5.1 Following are the default values of configuration parameters: Following fields can be used under [sourceX] groups to configure these parameters. There is an option to configure a tracker. I'll be adding new github Issues for both items, but will leave this issue open until then. AGX Xavier consuming events from Kafka Cluster to trigger SVR. This function starts writing the cached video data to a file. How to find the performance bottleneck in DeepStream? What trackers are included in DeepStream and which one should I choose for my application? Duration of recording. Can Gst-nvinferserver support inference on multiple GPUs? Here, start time of recording is the number of seconds earlier to the current time to start the recording. DeepStream applications can be orchestrated on the edge using Kubernetes on GPU. Building Intelligent Video Analytics Apps Using NVIDIA DeepStream 5.0 Can I stop it before that duration ends? The containers are available on NGC, NVIDIA GPU cloud registry. Does smart record module work with local video streams? That means smart record Start/Stop events are generated every 10 seconds through local events. 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. If you dont have any RTSP cameras, you may pull DeepStream demo container . # seconds before the current time to start recording. Smart-rec-container=<0/1> Sink plugin shall not move asynchronously to PAUSED, 5. 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. When executing a graph, the execution ends immediately with the warning No system specified. DeepStream | Procurement Software That means smart record Start/Stop events are generated every 10 seconds through local events. Can Gst-nvinferserver support models cross processes or containers? Why does the deepstream-nvof-test application show the error message Device Does NOT support Optical Flow Functionality if run with NVIDIA Tesla P4 or NVIDIA Jetson Nano, Jetson TX2, or Jetson TX1? Why do I observe a lot of buffers being dropped when running deepstream-nvdsanalytics-test application on Jetson Nano ? During container builder installing graphs, sometimes there are unexpected errors happening while downloading manifests or extensions from registry. because recording might be started while the same session is actively recording for another source. DeepStream - Smart Video Recording DeepStream User Guide ds-doc-1 Why do I see the below Error while processing H265 RTSP stream? Where can I find the DeepStream sample applications? Why is that? This function creates the instance of smart record and returns the pointer to an allocated NvDsSRContext. 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. 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= How to enable TensorRT optimization for Tensorflow and ONNX models? Read more about DeepStream here. Optimizing nvstreammux config for low-latency vs Compute, 6. In SafeFac a set of cameras installed on the assembly line are used to captu. 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.io When to start smart recording and when to stop smart recording depend on your design. Users can also select the type of networks to run inference. This is currently supported for Kafka. Does DeepStream Support 10 Bit Video streams? Developers can start with deepstream-test1 which is almost like a DeepStream hello world. What are different Memory types supported on Jetson and dGPU? What are the recommended values for. How do I configure the pipeline to get NTP timestamps? Does Gst-nvinferserver support Triton multiple instance groups? Can Gst-nvinferserver support inference on multiple GPUs? What are the recommended values for. # default duration of recording in seconds. SafeFac: : Video-based smart safety monitoring for preventing For unique names every source must be provided with a unique prefix. How to find the performance bottleneck in DeepStream? . How does secondary GIE crop and resize objects? Produce cloud-to-device event messages, Transfer Learning Toolkit - Getting Started, Transfer Learning Toolkit - Specification Files, Transfer Learning Toolkit - StreetNet (TLT2), Transfer Learning Toolkit - CovidNet (TLT2), Transfer Learning Toolkit - Classification (TLT2), Custom Model - Triton Inference Server Configurations, Custom Model - Custom Parser - Yolov2-coco, Custom Model - Custom Parser - Tiny Yolov2, Custom Model - Custom Parser - EfficientDet, Custom Model - Sample Custom Parser - Resnet - Frcnn - Yolov3 - SSD, Custom Model - Sample Custom Parser - SSD, Custom Model - Sample Custom Parser - FasterRCNN, Custom Model - Sample Custom Parser - Yolov4. This application is covered in greater detail in the DeepStream Reference Application - deepstream-app chapter. 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. What is the recipe for creating my own Docker image? 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. For sending metadata to the cloud, DeepStream uses Gst-nvmsgconv and Gst-nvmsgbroker plugin. What is the difference between DeepStream classification and Triton classification? How can I verify that CUDA was installed correctly? How can I determine the reason? 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. 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. Any data that is needed during callback function can be passed as userData. How do I configure the pipeline to get NTP timestamps? See the deepstream_source_bin.c for more details on using this module. This is the time interval in seconds for SR start / stop events generation. Why do I encounter such error while running Deepstream pipeline memory type configured and i/p buffer mismatch ip_surf 0 muxer 3? To enable smart record in deepstream-test5-app set the following under [sourceX] group: smart-record=<1/2> Can I record the video with bounding boxes and other information overlaid? How to fix cannot allocate memory in static TLS block error? #sensor-list-file=dstest5_msgconv_sample_config.txt, Install librdkafka (to enable Kafka protocol adaptor for message broker), Run deepstream-app (the reference application), Remove all previous DeepStream installations, Run the deepstream-app (the reference application), dGPU Setup for RedHat Enterprise Linux (RHEL), How to visualize the output if the display is not attached to the system, 1 . The next step is to batch the frames for optimal inference performance. smart-rec-start-time= Copyright 2020-2021, NVIDIA. There are deepstream-app sample codes to show how to implement smart recording with multiple streams. The streams are captured using the CPU. On Jetson platform, I get same output when multiple Jpeg images are fed to nvv4l2decoder using multifilesrc plugin. There are two ways in which smart record events can be generated either through local events or through cloud messages. The events are transmitted over Kafka to a streaming and batch analytics backbone. What is the recipe for creating my own Docker image? How can I specify RTSP streaming of DeepStream output? Can I record the video with bounding boxes and other information overlaid? How to measure pipeline latency if pipeline contains open source components. The property bufapi-version is missing from nvv4l2decoder, what to do? After inference, the next step could involve tracking the object. What are the sample pipelines for nvstreamdemux? Once frames are batched, it is sent for inference. After pulling the container, you might open the notebook deepstream-rtsp-out.ipynb and create a RTSP source. What are the sample pipelines for nvstreamdemux? 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= 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. To enable smart record in deepstream-test5-app set the following under [sourceX] group: To enable smart record through only cloud messages, set smart-record=1 and configure [message-consumerX] group accordingly. Changes are persisted and synced across all connected devices in milliseconds. This causes the duration of the generated video to be less than the value specified. What are the sample pipelines for nvstreamdemux? DeepStream is a streaming analytic toolkit to build AI-powered applications. # Use this option if message has sensor name as id instead of index (0,1,2 etc.). Please see the Graph Composer Introduction for details. Why does my image look distorted if I wrap my cudaMalloced memory into NvBufSurface and provide to NvBufSurfTransform? deepstream-test5 sample application will be used for demonstrating SVR. What are different Memory transformations supported on Jetson and dGPU? Smart Video Record DeepStream 6.1.1 Release documentation, DeepStream Reference Application - deepstream-app DeepStream 6.1.1 Release documentation. The graph below shows a typical video analytic application starting from input video to outputting insights. Copyright 2020-2021, NVIDIA. DeepStream applications can be deployed in containers using NVIDIA container Runtime. Why do I encounter such error while running Deepstream pipeline memory type configured and i/p buffer mismatch ip_surf 0 muxer 3? When running live camera streams even for few or single stream, also output looks jittery? 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. My component is getting registered as an abstract type. Does smart record module work with local video streams? DeepStream supports application development in C/C++ and in Python through the Python bindings. By default, Smart_Record is the prefix in case this field is not set. I started the record with a set duration. There are more than 20 plugins that are hardware accelerated for various tasks. 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. Why I cannot run WebSocket Streaming with Composer? However, when configuring smart-record for multiple sources the duration of the videos are no longer consistent (different duration for each video). Copyright 2021, Season. By default, the current directory is used. 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. When executing a graph, the execution ends immediately with the warning No system specified. Add this bin after the parser element in the pipeline. How to extend this to work with multiple sources? How can I check GPU and memory utilization on a dGPU system? If you set smart-record=2, this will enable smart record through cloud messages as well as local events with default configurations. Lets go back to AGX Xavier for next step. To make it easier to get started, DeepStream ships with several reference applications in both in C/C++ and in Python. The inference can use the GPU or DLA (Deep Learning accelerator) for Jetson AGX Xavier and Xavier NX. When expanded it provides a list of search options that will switch the search inputs to match the current selection. In case a Stop event is not generated. The pre-processing can be image dewarping or color space conversion. smart-rec-duration= What is the approximate memory utilization for 1080p streams on dGPU? Thanks again. This means, the recording cannot be started until we have an Iframe. 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. What if I dont set video cache size for smart record? The params structure must be filled with initialization parameters required to create the instance. 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? Why is a Gst-nvegltransform plugin required on a Jetson platform upstream from Gst-nveglglessink? One of the key capabilities of DeepStream is secure bi-directional communication between edge and cloud. If you set smart-record=2, this will enable smart record through cloud messages as well as local events with default configurations. 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. This causes the duration of the generated video to be less than the value specified. How can I run the DeepStream sample application in debug mode? This recording happens in parallel to the inference pipeline running over the feed. # Configure this group to enable cloud message consumer. What should I do if I want to set a self event to control the record? Can Jetson platform support the same features as dGPU for Triton plugin? Using records Records are requested using client.record.getRecord (name). What are different Memory types supported on Jetson and dGPU? Once the frames are in the memory, they are sent for decoding using the NVDEC accelerator. Why is that? Container Contents 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. Please make sure you understand how to migrate your DeepStream 5.1 custom models to DeepStream 6.0 before you start. In existing deepstream-test5-app only RTSP sources are enabled for smart record. How can I determine whether X11 is running? The deepstream-test2 progresses from test1 and cascades secondary network to the primary network. Smart Record Deepstream Deepstream Version: 5.1 documentation By default, Smart_Record is the prefix in case this field is not set. DeepStream applications can be created without coding using the Graph Composer. Can Gst-nvinfereserver (DeepSream Triton plugin) run on Nano platform? Why do some caffemodels fail to build after upgrading to DeepStream 5.1? How can I interpret frames per second (FPS) display information on console? Below diagram shows the smart record architecture: From DeepStream 6.0, Smart Record also supports audio. smart-rec-start-time= Python is easy to use and widely adopted by data scientists and deep learning experts when creating AI models. The first frame in the cache may not be an Iframe, so, some frames from the cache are dropped to fulfil this condition. tensorflow python framework errors impl notfounderror no cpu devices are available in this process Based on the event, these cached frames are encapsulated under the chosen container to generate the recorded video. Why am I getting following waring when running deepstream app for first time? Creating records DeepStream pipelines can be constructed using Gst-Python, the GStreamer frameworks Python bindings. The message format is as follows: Receiving and processing such messages from the cloud is demonstrated in the deepstream-test5 sample application. On Jetson platform, I observe lower FPS output when screen goes idle. My DeepStream performance is lower than expected. How can I specify RTSP streaming of DeepStream output? deepstream smart record. . What is the correct way to do this? 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 size of the video cache can be configured per use case. Here, start time of recording is the number of seconds earlier to the current time to start the recording. Object tracking is performed using the Gst-nvtracker plugin. The first frame in the cache may not be an Iframe, so, some frames from the cache are dropped to fulfil this condition. 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 recording happens in parallel to the inference pipeline running over the feed. The params structure must be filled with initialization parameters required to create the instance. Why is the Gst-nvstreammux plugin required in DeepStream 4.0+? My component is getting registered as an abstract type. In case duration is set to zero, recording will be stopped after defaultDuration seconds set in NvDsSRCreate(). The message format is as follows: Receiving and processing such messages from the cloud is demonstrated in the deepstream-test5 sample application. deepstream.io I started the record with a set duration. Can I stop it before that duration ends? Deepstream 5 Support and Smart Record Issue #250 prominenceai smart-rec-file-prefix= 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? In case duration is set to zero, recording will be stopped after defaultDuration seconds set in NvDsSRCreate(). Does Gst-nvinferserver support Triton multiple instance groups? How does secondary GIE crop and resize objects? How to use nvmultiurisrcbin in a pipeline, 3.1 REST API payload definitions and sample curl commands for reference, 3.1.1 ADD a new stream to a DeepStream pipeline, 3.1.2 REMOVE a new stream to a DeepStream pipeline, 4.1 Gst Properties directly configuring nvmultiurisrcbin, 4.2 Gst Properties to configure each instance of nvurisrcbin created inside this bin, 4.3 Gst Properties to configure the instance of nvstreammux created inside this bin, 5.1 nvmultiurisrcbin config recommendations and notes on expected behavior, 3.1 Gst Properties to configure nvurisrcbin, You are migrating from DeepStream 6.0 to DeepStream 6.2, Application fails to run when the neural network is changed, The DeepStream application is running slowly (Jetson only), The DeepStream application is running slowly, Errors occur when deepstream-app fails to load plugin Gst-nvinferserver, Tensorflow models are running into OOM (Out-Of-Memory) problem, Troubleshooting in Tracker Setup and Parameter Tuning, Frequent tracking ID changes although no nearby objects, Frequent tracking ID switches to the nearby objects, Error while running ONNX / Explicit batch dimension networks, My component is not visible in the composer even after registering the extension with registry. If current time is t1, content from t1 - startTime to t1 + duration will be saved to file. Are multiple parallel records on same source supported? What if I dont set default duration for smart record? Currently, there is no support for overlapping smart record. And once it happens, container builder may return errors again and again. By performing all the compute heavy operations in a dedicated accelerator, DeepStream can achieve highest performance for video analytic applications. The following minimum json message from the server is expected to trigger the Start/Stop of smart record. How can I determine the reason? How to handle operations not supported by Triton Inference Server? deepstream.io Record Records are one of deepstream's core features. 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.