deepstream smart record

Why does the RTSP source used in gst-launch pipeline through uridecodebin show blank screen followed by the error -. Path of directory to save the recorded file. 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. Below diagram shows the smart record architecture: From DeepStream 6.0, Smart Record also supports audio. What types of input streams does DeepStream 5.1 support? Why do some caffemodels fail to build after upgrading to DeepStream 6.0? This function stops the previously started recording. This function starts writing the cached video data to a file. 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. A callback function can be setup to get the information of recorded video once recording stops. There are two ways in which smart record events can be generated either through local events or through cloud messages. Changes are persisted and synced across all connected devices in milliseconds. A Record is an arbitrary JSON data structure that can be created, retrieved, updated, deleted and listened to. smart-rec-dir-path= Streaming data can come over the network through RTSP or from a local file system or from a camera directly. Size of cache in seconds. Based on the event, these cached frames are encapsulated under the chosen container to generate the recorded video. What is the official DeepStream Docker image and where do I get it? DeepStream provides building blocks in the form of GStreamer plugins that can be used to construct an efficient video analytic pipeline. Why does the deepstream-nvof-test application show the error message Device Does NOT support Optical Flow Functionality ? This is the time interval in seconds for SR start / stop events generation. In the deepstream-test5-app, to demonstrate the use case smart record Start / Stop events are generated every interval second. Does Gst-nvinferserver support Triton multiple instance groups? Why am I getting following waring when running deepstream app for first time? I can run /opt/nvidia/deepstream/deepstream-5.1/sources/apps/sample_apps/deepstream-testsr to implement Smart Video Record, but now I would like to ask if Smart Video Record supports multi streams? Does smart record module work with local video streams? MP4 and MKV containers are supported. Smart video record is used for event (local or cloud) based recording of original data feed. How can I construct the DeepStream GStreamer pipeline? 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. 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. To learn more about these security features, read the IoT chapter. Only the data feed with events of importance is recorded instead of always saving the whole feed. For example, the record starts when theres an object being detected in the visual field. Duration of recording. Do I need to add a callback function or something else? 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? Why does my image look distorted if I wrap my cudaMalloced memory into NvBufSurface and provide to NvBufSurfTransform? How can I interpret frames per second (FPS) display information on console? recordbin of NvDsSRContext is smart record bin which must be added to the pipeline. Regarding git source code compiling in compile_stage, Is it possible to compile source from HTTP archives? My DeepStream performance is lower than expected. What types of input streams does DeepStream 6.0 support? My component is getting registered as an abstract type. Only the data feed with events of importance is recorded instead of always saving the whole feed. This button displays the currently selected search type. To learn more about deployment with dockers, see the Docker container chapter. Nothing to do. See the deepstream_source_bin.c for more details on using this module. Why do I observe: A lot of buffers are being dropped. #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 . To enable audio, a GStreamer element producing encoded audio bitstream must be linked to the asink pad of the smart record bin. Does DeepStream Support 10 Bit Video streams? What are the recommended values for. 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. How does secondary GIE crop and resize objects? How can I know which extensions synchronized to registry cache correspond to a specific repository? This app is fully configurable - it allows users to configure any type and number of sources. 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. DeepStream - Smart Video Recording DeepStream - IoT Edge DeepStream - Demos DeepStream - Common Issues Transfer Learning Toolkit - Getting Started Transfer Learning Toolkit - Specification Files Transfer Learning Toolkit - StreetNet (TLT2) Transfer Learning Toolkit - CovidNet (TLT2) Transfer Learning Toolkit - Classification (TLT2) smart-rec-dir-path= You may use other devices (e.g. What are different Memory transformations supported on Jetson and dGPU? That means smart record Start/Stop events are generated every 10 seconds through local events. 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. 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. How to find out the maximum number of streams supported on given platform? Can Jetson platform support the same features as dGPU for Triton plugin? How to clean and restart? How can I interpret frames per second (FPS) display information on console? To learn more about bi-directional capabilities, see the Bidirectional Messaging section in this guide. Does smart record module work with local video streams? I started the record with a set duration. It returns the session id which later can be used in NvDsSRStop() to stop the corresponding recording. The events are transmitted over Kafka to a streaming and batch analytics backbone. This means, the recording cannot be started until we have an Iframe. This parameter will ensure the recording is stopped after a predefined default duration. Ive configured smart-record=2 as the document said, using local event to start or end video-recording. The pre-processing can be image dewarping or color space conversion. 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. DeepStream pipelines can be constructed using Gst-Python, the GStreamer frameworks Python bindings. Note that the formatted messages were sent to , lets rewrite our consumer.py to inspect the formatted messages from this topic. Uncategorized. Why is the Gst-nvstreammux plugin required in DeepStream 4.0+? How can I determine whether X11 is running? It comes pre-built with an inference plugin to do object detection cascaded by inference plugins to do image classification. It expects encoded frames which will be muxed and saved to the file. DeepStream abstracts these libraries in DeepStream plugins, making it easy for developers to build video analytic pipelines without having to learn all the individual libraries. For unique names every source must be provided with a unique prefix. On Jetson platform, I get same output when multiple Jpeg images are fed to nvv4l2decoder using multifilesrc plugin. It will not conflict to any other functions in your application. Smart video recording (SVR) is an event-based recording that a portion of video is recorded in parallel to DeepStream pipeline based on objects of interests or specific rules for recording. This is currently supported for Kafka. The following minimum json message from the server is expected to trigger the Start/Stop of smart record. Smart video record is used for event (local or cloud) based recording of original data feed. 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. How do I configure the pipeline to get NTP timestamps? How to handle operations not supported by Triton Inference Server? This parameter will increase the overall memory usages of the application. 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. # Use this option if message has sensor name as id instead of index (0,1,2 etc.). The increasing number of IoT devices in "smart" environments, such as homes, offices, and cities, produce seemingly endless data streams and drive many daily decisions. # Use this option if message has sensor name as id instead of index (0,1,2 etc.). What are the sample pipelines for nvstreamdemux? Why is that? Creating records DeepStream applications can be deployed in containers using NVIDIA container Runtime. The deepstream-test2 progresses from test1 and cascades secondary network to the primary network. Why am I getting ImportError: No module named google.protobuf.internal when running convert_to_uff.py on Jetson AGX Xavier? DeepStream is a streaming analytic toolkit to build AI-powered applications. Details are available in the Readme First section of this document. The following minimum json message from the server is expected to trigger the Start/Stop of smart record. Can Jetson platform support the same features as dGPU for Triton plugin? The size of the video cache can be configured per use case. How can I display graphical output remotely over VNC? This is the time interval in seconds for SR start / stop events generation. Can I stop it before that duration ends? Are multiple parallel records on same source supported? How to extend this to work with multiple sources? Revision 6f7835e1. Jetson devices) to follow the demonstration. Can Jetson platform support the same features as dGPU for Triton plugin? Smart Video Record DeepStream 6.1.1 Release documentation Batching is done using the Gst-nvstreammux plugin. How can I run the DeepStream sample application in debug mode? To enable smart record in deepstream-test5-app set the following under [sourceX] group: smart-record=<1/2> Do I need to add a callback function or something else? Add this bin after the audio/video parser element in the pipeline. smart-rec-interval= What is maximum duration of data I can cache as history for smart record? Are multiple parallel records on same source supported? What is the recipe for creating my own Docker image? Can I record the video with bounding boxes and other information overlaid? To get started, developers can use the provided reference applications. Using records Records are requested using client.record.getRecord (name). A video cache is maintained so that recorded video has frames both before and after the event is generated. This function stops the previously started recording. How to enable TensorRT optimization for Tensorflow and ONNX models? 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. How do I configure the pipeline to get NTP timestamps? If current time is t1, content from t1 - startTime to t1 + duration will be saved to file. do you need to pass different session ids when recording from different sources? Bei Erweiterung erscheint eine Liste mit Suchoptionen, die die Sucheingaben so ndern, dass sie zur aktuellen Auswahl passen. What if I dont set video cache size for smart record? They will take video from a file, decode, batch and then do object detection and then finally render the boxes on the screen. Why do I observe: A lot of buffers are being dropped. At the bottom are the different hardware engines that are utilized throughout the application. DeepStream is a streaming analytic toolkit to build AI-powered applications. See NVIDIA-AI-IOT Github page for some sample DeepStream reference apps. How to tune GPU memory for Tensorflow models? The latest release of #NVIDIADeepStream SDK version 6.2 delivers powerful enhancements such as state-of-the-art multi-object trackers, support for lidar and Records are created and retrieved using client.record.getRecord ('name') To learn more about how they are used, have a look at the Record Tutorial. This function starts writing the cached audio/video data to a file. The registry failed to perform an operation and reported an error message. 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. My component is getting registered as an abstract type. 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. 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. Duration of recording. 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. DeepStream ships with several out of the box security protocols such as SASL/Plain authentication using username/password and 2-way TLS authentication. Any change to a record is instantly synced across all connected clients. How to find the performance bottleneck in DeepStream? Smart video recording (SVR) is an event-based recording that a portion of video is recorded in parallel to DeepStream pipeline based on objects of interests or specific rules for recording. Today, Deepstream has become the silent force behind some of the world's largest banks, communication, and entertainment companies. This application is covered in greater detail in the DeepStream Reference Application - deepstream-app chapter. Records are the main building blocks of deepstream's data-sync capabilities. A callback function can be setup to get the information of recorded audio/video once recording stops. How to tune GPU memory for Tensorflow models? Here startTime specifies the seconds before the current time and duration specifies the seconds after the start of recording. For unique names every source must be provided with a unique prefix. How to fix cannot allocate memory in static TLS block error? There are more than 20 plugins that are hardware accelerated for various tasks. Why does the RTSP source used in gst-launch pipeline through uridecodebin show blank screen followed by the error -. userData received in that callback is the one which is passed during NvDsSRStart(). This causes the duration of the generated video to be less than the value specified. Abstract This work presents SafeFac, an intelligent camera-based system for managing the safety of factory environments. Does DeepStream Support 10 Bit Video streams? deepstream.io Record Records are one of deepstream's core features. However, when configuring smart-record for multiple sources the duration of the videos are no longer consistent (different duration for each video). Can users set different model repos when running multiple Triton models in single process? When to start smart recording and when to stop smart recording depend on your design. How can I determine whether X11 is running? And once it happens, container builder may return errors again and again. Typeerror hoverintent uncaught typeerror object object method jobs I want to Hire I want to Work. The plugin for decode is called Gst-nvvideo4linux2. Freelancer How can I determine the reason? Why does my image look distorted if I wrap my cudaMalloced memory into NvBufSurface and provide to NvBufSurfTransform? Copyright 2020-2021, NVIDIA. because when I try deepstream-app with smart-recording configured for 1 source, the behaviour is perfect. Please help to open a new topic if still an issue to support. It expects encoded frames which will be muxed and saved to the file. How to find out the maximum number of streams supported on given platform? How to find out the maximum number of streams supported on given platform? This means, the recording cannot be started until we have an Iframe. Why do I observe a lot of buffers being dropped When running deepstream-nvdsanalytics-test application on Jetson Nano ? How does secondary GIE crop and resize objects? 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. deepstream smart record. How does secondary GIE crop and resize objects? DeepStream applications can be orchestrated on the edge using Kubernetes on GPU. This function releases the resources previously allocated by NvDsSRCreate(). 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.

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