Copyright 2020-2021, NVIDIA. Sink plugin shall not move asynchronously to PAUSED, nvds_msgapi_connect(): Create a Connection, nvds_msgapi_send() and nvds_msgapi_send_async(): Send an event, nvds_msgapi_subscribe(): Consume data by subscribing to topics, nvds_msgapi_do_work(): Incremental Execution of Adapter Logic, nvds_msgapi_disconnect(): Terminate a Connection, nvds_msgapi_getversion(): Get Version Number, nvds_msgapi_get_protocol_name(): Get name of the protocol, nvds_msgapi_connection_signature(): Get Connection signature, Connection Details for the Device Client Adapter, Connection Details for the Module Client Adapter, nv_msgbroker_connect(): Create a Connection, nv_msgbroker_send_async(): Send an event asynchronously, nv_msgbroker_subscribe(): Consume data by subscribing to topics, nv_msgbroker_disconnect(): Terminate a Connection, nv_msgbroker_version(): Get Version Number, DS-Riva ASR Yaml File Configuration Specifications, DS-Riva TTS Yaml File Configuration Specifications, You are migrating from DeepStream 5.x to DeepStream 6.0, NvDsBatchMeta not found for input buffer error while running DeepStream pipeline, The DeepStream reference application fails to launch, or any plugin fails to load, Application fails to run when the neural network is changed, The DeepStream application is running slowly (Jetson only), The DeepStream application is running slowly, NVIDIA Jetson Nano, deepstream-segmentation-test starts as expected, but crashes after a few minutes rebooting the system, Errors occur when deepstream-app is run with a number of streams greater than 100, Errors occur when deepstream-app fails to load plugin Gst-nvinferserver, Tensorflow models are running into OOM (Out-Of-Memory) problem, Memory usage keeps on increasing when the source is a long duration containerized files(e.g. [When user expect to not use a Display window], My component is not visible in the composer even after registering the extension with registry. What if I dont set video cache size for smart record? do you need to pass different session ids when recording from different sources? Following are the default values of configuration parameters: Following fields can be used under [sourceX] groups to configure these parameters. Why am I getting following waring when running deepstream app for first time? How can I check GPU and memory utilization on a dGPU system? smart-rec-start-time= The performance benchmark is also run using this application. Prefix of file name for generated stream. Does DeepStream Support 10 Bit Video streams? 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. DeepStream is a streaming analytic toolkit to build AI-powered applications. By default, the current directory is used. What are different Memory transformations supported on Jetson and dGPU? In existing deepstream-test5-app only RTSP sources are enabled for smart record. Does Gst-nvinferserver support Triton multiple instance groups? 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. This function releases the resources previously allocated by NvDsSRCreate(). 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. smart-rec-duration= The first frame in the cache may not be an Iframe, so, some frames from the cache are dropped to fulfil this condition. userData received in that callback is the one which is passed during NvDsSRStart(). DeepStream applications can be deployed in containers using NVIDIA container Runtime. DeepStream provides building blocks in the form of GStreamer plugins that can be used to construct an efficient video analytic pipeline. The params structure must be filled with initialization parameters required to create the instance. The property bufapi-version is missing from nvv4l2decoder, what to do? In smart record, encoded frames are cached to save on CPU memory. Here, start time of recording is the number of seconds earlier to the current time to start the recording. 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? 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. How can I get more information on why the operation failed? DeepStream Reference Application - deepstream-app DeepStream 6.1.1 Release documentation. Why is a Gst-nvegltransform plugin required on a Jetson platform upstream from Gst-nveglglessink? Why am I getting ImportError: No module named google.protobuf.internal when running convert_to_uff.py on Jetson AGX Xavier? A Record is an arbitrary JSON data structure that can be created, retrieved, updated, deleted and listened to. 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. tensorflow python framework errors impl notfounderror no cpu devices are available in this process How to tune GPU memory for Tensorflow models? After inference, the next step could involve tracking the object. My DeepStream performance is lower than expected. Nothing to do. For unique names every source must be provided with a unique prefix. Refer to the deepstream-testsr sample application for more details on usage. Below diagram shows the smart record architecture: This module provides the following APIs. I started the record with a set duration. How does secondary GIE crop and resize objects? 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? This application will work for all AI models with detailed instructions provided in individual READMEs. Can users set different model repos when running multiple Triton models in single process? DeepStream is a streaming analytic toolkit to build AI-powered applications. The size of the video cache can be configured per use case. The message format is as follows: Receiving and processing such messages from the cloud is demonstrated in the deepstream-test5 sample application. How can I verify that CUDA was installed correctly? Why do I encounter such error while running Deepstream pipeline memory type configured and i/p buffer mismatch ip_surf 0 muxer 3? See the deepstream_source_bin.c for more details on using this module. 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? Please make sure you understand how to migrate your DeepStream 5.1 custom models to DeepStream 6.0 before you start. By default, Smart_Record is the prefix in case this field is not set. Why do I encounter such error while running Deepstream pipeline memory type configured and i/p buffer mismatch ip_surf 0 muxer 3? You can design your own application functions. Path of directory to save the recorded file. Regarding git source code compiling in compile_stage, Is it possible to compile source from HTTP archives? Can Gst-nvinferserver support inference on multiple GPUs? DeepStream is an optimized graph architecture built using the open source GStreamer framework. I started the record with a set duration. How can I determine whether X11 is running? How can I construct the DeepStream GStreamer pipeline? Metadata propagation through nvstreammux and nvstreamdemux. 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 I stop it before that duration ends? How to find out the maximum number of streams supported on given platform? deepstream smart record. What happens if unsupported fields are added into each section of the YAML file? The property bufapi-version is missing from nvv4l2decoder, what to do? It returns the session id which later can be used in NvDsSRStop() to stop the corresponding recording. 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? 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. smart-rec-cache= How can I verify that CUDA was installed correctly? DeepStream is only a SDK which provide HW accelerated APIs for video inferencing, video decoding, video processing, etc. smart-rec-interval= Do I need to add a callback function or something else? What types of input streams does DeepStream 5.1 support? For unique names every source must be provided with a unique prefix. Can Gst-nvinferserver support models cross processes or containers? 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. Modifications made: (1) based on the results of the real-time video analysis, and: (2) by the application user through external input. How can I specify RTSP streaming of DeepStream output? Abstract This work presents SafeFac, an intelligent camera-based system for managing the safety of factory environments. Also included are the source code for these applications. When executing a graph, the execution ends immediately with the warning No system specified. Can Jetson platform support the same features as dGPU for Triton plugin? 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 the deepstream-test5-app, to demonstrate the use case smart record Start / Stop events are generated every interval second. The size of the video cache can be configured per use case. How can I display graphical output remotely over VNC? Below diagram shows the smart record architecture: From DeepStream 6.0, Smart Record also supports audio. There are two ways in which smart record events can be generated - either through local events or through cloud messages.