What is the recipe for creating my own Docker image? This function releases the resources previously allocated by NvDsSRCreate(). 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. If current time is t1, content from t1 - startTime to t1 + duration will be saved to file. #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. 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. Why am I getting following warning when running deepstream app for first time? DeepStream builds on top of several NVIDIA libraries from the CUDA-X stack such as CUDA, TensorRT, NVIDIA Triton Inference server and multimedia libraries. 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 increasing number of IoT devices in "smart" environments, such as homes, offices, and cities, produce seemingly endless data streams and drive many daily decisions. Which Triton version is supported in DeepStream 6.0 release? This function starts writing the cached audio/video data to a file. A video cache is maintained so that recorded video has frames both before and after the event is generated. This app is fully configurable - it allows users to configure any type and number of sources. Unable to start the composer in deepstream development docker. Container Contents In SafeFac a set of cameras installed on the assembly line are used to captu. Native TensorRT inference is performed using Gst-nvinfer plugin and inference using Triton is done using Gst-nvinferserver plugin. Surely it can. DeepStream supports application development in C/C++ and in Python through the Python bindings. DeepStream provides building blocks in the form of GStreamer plugins that can be used to construct an efficient video analytic pipeline. After pulling the container, you might open the notebook deepstream-rtsp-out.ipynb and create a RTSP source. How to find the performance bottleneck in DeepStream? It comes pre-built with an inference plugin to do object detection cascaded by inference plugins to do image classification. Today, Deepstream has become the silent force behind some of the world's largest banks, communication, and entertainment companies. DeepStream Reference Application - deepstream-app DeepStream 6.1.1 Release documentation. tensorflow python framework errors impl notfounderror no cpu devices are available in this process To enable smart record in deepstream-test5-app set the following under [sourceX] group: smart-record=<1/2> Why am I getting following waring when running deepstream app for first time? Why do I observe a lot of buffers being dropped when running deepstream-nvdsanalytics-test application on Jetson Nano ? . 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. Yair Meidan, Ph.D. - Senior Data Scientist / Applied ML Researcher Optimizing nvstreammux config for low-latency vs Compute, 6. 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 This parameter will ensure the recording is stopped after a predefined default duration. Where can I find the DeepStream sample applications? What is the difference between DeepStream classification and Triton classification? Add this bin after the audio/video parser element in the pipeline. Duration of recording. What are the sample pipelines for nvstreamdemux? DeepStream ships with several out of the box security protocols such as SASL/Plain authentication using username/password and 2-way TLS authentication. Smart Video Record DeepStream 6.1.1 Release documentation GstBin which is the recordbin of NvDsSRContext must be added to the pipeline. I started the record with a set duration. See the deepstream_source_bin.c for more details on using this module. Can Gst-nvinferserver support inference on multiple GPUs? Can Gst-nvinferserver support inference on multiple GPUs? Metadata propagation through nvstreammux and nvstreamdemux. 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) Observing video and/or audio stutter (low framerate), 2. At the bottom are the different hardware engines that are utilized throughout the application. One of the key capabilities of DeepStream is secure bi-directional communication between edge and cloud. Uncategorized. How can I get more information on why the operation failed? They will take video from a file, decode, batch and then do object detection and then finally render the boxes on the screen. Lets go back to AGX Xavier for next step. The streams are captured using the CPU. This parameter will ensure the recording is stopped after a predefined default duration. Typeerror hoverintent uncaught typeerror object object method jobs I want to Hire I want to Work. Both audio and video will be recorded to the same containerized file. Creating records The core SDK consists of several hardware accelerator plugins that use accelerators such as VIC, GPU, DLA, NVDEC and NVENC. Each NetFlow record . Following are the default values of configuration parameters: Following fields can be used under [sourceX] groups to configure these parameters. See the gst-nvdssr.h header file for more details. My DeepStream performance is lower than expected. In this documentation, we will go through Host Kafka server, producing events to Kafka Cluster from AGX Xavier during DeepStream runtime, and It returns the session id which later can be used in NvDsSRStop() to stop the corresponding recording. This is the time interval in seconds for SR start / stop events generation. This recording happens in parallel to the inference pipeline running over the feed. What is the difference between batch-size of nvstreammux and nvinfer? Gst-nvvideoconvert plugin can perform color format conversion on the frame. How do I configure the pipeline to get NTP timestamps? What happens if unsupported fields are added into each section of the YAML file? smart-rec-duration=
Why am I getting ImportError: No module named google.protobuf.internal when running convert_to_uff.py on Jetson AGX Xavier? What is the approximate memory utilization for 1080p streams on dGPU? Python is easy to use and widely adopted by data scientists and deep learning experts when creating AI models. Last updated on Oct 27, 2021. Copyright 2021, Season. DeepStream is a streaming analytic toolkit to build AI-powered applications. Why am I getting ImportError: No module named google.protobuf.internal when running convert_to_uff.py on Jetson AGX Xavier? smart-rec-file-prefix=
Search for jobs related to Freelancer projects vlsi embedded or hire on the world's largest freelancing marketplace with 22m+ jobs. Here startTime specifies the seconds before the current time and duration specifies the seconds after the start of recording. Powered by Discourse, best viewed with JavaScript enabled. Why is a Gst-nvegltransform plugin required on a Jetson platform upstream from Gst-nveglglessink? Add this bin after the parser element in the pipeline. What is the recipe for creating my own Docker image? Which Triton version is supported in DeepStream 5.1 release? Does deepstream Smart Video Record support multi streams? There are deepstream-app sample codes to show how to implement smart recording with multiple streams. How can I check GPU and memory utilization on a dGPU system? This causes the duration of the generated video to be less than the value specified. deepstream-testsr is to show the usage of smart recording interfaces. Why cant I paste a component after copied one? . Smart video record is used for event (local or cloud) based recording of original data feed. . Typeerror hoverintent uncaught typeerror object object method Jobs The data types are all in native C and require a shim layer through PyBindings or NumPy to access them from the Python app. My DeepStream performance is lower than expected. They are atomic bits of JSON data that can be manipulated and observed. How can I construct the DeepStream GStreamer pipeline? This function stops the previously started recording. Issue Type( questions). Why is that? How does secondary GIE crop and resize objects? In case duration is set to zero, recording will be stopped after defaultDuration seconds set in NvDsSRCreate(). How to tune GPU memory for Tensorflow models? In existing deepstream-test5-app only RTSP sources are enabled for smart record. Can I record the video with bounding boxes and other information overlaid? Size of cache in seconds. DeepStream - Tracker Configurations DeepStream User Guide ds-doc-1 The params structure must be filled with initialization parameters required to create the instance. MP4 and MKV containers are supported. Why does my image look distorted if I wrap my cudaMalloced memory into NvBufSurface and provide to NvBufSurfTransform? The end-to-end application is called deepstream-app. Smart Video Record DeepStream 6.1.1 Release documentation, DeepStream Reference Application - deepstream-app DeepStream 6.1.1 Release documentation. deepstream.io Record Records are one of deepstream's core features. 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. In this app, developers will learn how to build a GStreamer pipeline using various DeepStream plugins. MP4 and MKV containers are supported. The plugin for decode is called Gst-nvvideo4linux2. For unique names every source must be provided with a unique 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. Please help to open a new topic if still an issue to support. deepstream smart record. deepstream.io 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. In the list of local_copy_files, if src is a folder, Any difference for dst ends with / or not? # Use this option if message has sensor name as id instead of index (0,1,2 etc.). Smart-rec-container=<0/1>
DeepStream - Smart Video Recording DeepStream User Guide ds-doc-1 Building Intelligent Video Analytics Apps Using NVIDIA DeepStream 5.0 For unique names every source must be provided with a unique prefix. How can I construct the DeepStream GStreamer pipeline? Arvind Radhakrishnen auf LinkedIn: #bard #chatgpt #google #search # A callback function can be setup to get the information of recorded audio/video once recording stops. Whats the throughput of H.264 and H.265 decode on dGPU (Tesla)? Tensor data is the raw tensor output that comes out after inference. 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. A Record is an arbitrary JSON data structure that can be created, retrieved, updated, deleted and listened to. What are the recommended values for. Using records Records are requested using client.record.getRecord (name). 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 use the OSS version of the TensorRT plugins in DeepStream? Does DeepStream Support 10 Bit Video streams? What should I do if I want to set a self event to control the record? Therefore, a total of startTime + duration seconds of data will be recorded. By default, Smart_Record is the prefix in case this field is not set. Why am I getting following waring when running deepstream app for first time? Are multiple parallel records on same source supported? When to start smart recording and when to stop smart recording depend on your design. Smart-rec-container=<0/1> How to enable TensorRT optimization for Tensorflow and ONNX models? 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. 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. World Book of Record Winner December 2020, Claim: Maximum number of textbooks published with ISBN number with a minimum period during COVID -19 lockdown period in India (between April 11, 2020, and July 01, 2020). What are different Memory transformations supported on Jetson and dGPU? The deepstream-test2 progresses from test1 and cascades secondary network to the primary network. How do I obtain individual sources after batched inferencing/processing? How can I change the location of the registry logs? For the output, users can select between rendering on screen, saving the output file, or streaming the video out over RTSP. By default, the current directory is used. This means, the recording cannot be started until we have an Iframe. 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. Deepstream 5 Support and Smart Record Issue #250 prominenceai To learn more about deployment with dockers, see the Docker container chapter. In case duration is set to zero, recording will be stopped after defaultDuration seconds set in NvDsSRCreate(). Can users set different model repos when running multiple Triton models in single process? There is an option to configure a tracker. DeepStream is only a SDK which provide HW accelerated APIs for video inferencing, video decoding, video processing, etc. The property bufapi-version is missing from nvv4l2decoder, what to do? How do I configure the pipeline to get NTP timestamps? In existing deepstream-test5-app only RTSP sources are enabled for smart record. Also included are the source code for these applications. What types of input streams does DeepStream 5.1 support? Why do I observe: A lot of buffers are being dropped. On Jetson platform, I get same output when multiple Jpeg images are fed to nvv4l2decoder using multifilesrc plugin. Here, start time of recording is the number of seconds earlier to the current time to start the recording. To get started, developers can use the provided reference applications. How to tune GPU memory for Tensorflow models? Bosch Rexroth on LinkedIn: #rexroth #assembly How can I run the DeepStream sample application in debug mode? If you are familiar with gstreamer programming, it is very easy to add multiple streams. Do I need to add a callback function or something else? because when I try deepstream-app with smart-recording configured for 1 source, the behaviour is perfect. What is batch-size differences for a single model in different config files (. This module provides the following APIs. From the pallet rack to workstation, #Rexroth's MP1000R mobile robot offers a smart, easy-to-implement material transport solution to help you boost Call NvDsSRDestroy() to free resources allocated by this function. The params structure must be filled with initialization parameters required to create the instance. How to handle operations not supported by Triton Inference Server? Why does my image look distorted if I wrap my cudaMalloced memory into NvBufSurface and provide to NvBufSurfTransform? How to extend this to work with multiple sources? What types of input streams does DeepStream 6.2 support? 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? When executing a graph, the execution ends immediately with the warning No system specified. How to clean and restart? What is maximum duration of data I can cache as history for smart record? What if I dont set default duration for smart record? If current time is t1, content from t1 - startTime to t1 + duration will be saved to file. Why is that? Only the data feed with events of importance is recorded instead of always saving the whole feed. , awarded WBR. These 4 starter applications are available in both native C/C++ as well as in Python. How can I determine the reason? 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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