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For developers looking to build their custom application, the deepstream-app can be a bit overwhelming to start development. DeepStream supports application development in C/C++ and in Python through the Python bindings. # Use this option if message has sensor name as id instead of index (0,1,2 etc.). 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? What if I dont set video cache size for smart record? Where can I find the DeepStream sample applications? Does smart record module work with local video streams? Why do some caffemodels fail to build after upgrading to DeepStream 5.1? You can design your own application functions. What is the difference between DeepStream classification and Triton classification? Can I record the video with bounding boxes and other information overlaid? With a lightning-fast response time - that's always free of charge -our customer success team goes above and beyond to make sure our clients have the best RFx experience possible . There are two ways in which smart record events can be generated either through local events or through cloud messages. On Jetson platform, I get same output when multiple Jpeg images are fed to nvv4l2decoder using multifilesrc plugin. In case a Stop event is not generated. The message format is as follows: Receiving and processing such messages from the cloud is demonstrated in the deepstream-test5 sample application. Can Gst-nvinferserver support inference on multiple GPUs? Why do I encounter such error while running Deepstream pipeline memory type configured and i/p buffer mismatch ip_surf 0 muxer 3? Where can I find the DeepStream sample applications? Currently, there is no support for overlapping smart record. At the heart of deepstreamHub lies a powerful data-sync engine: schemaless JSON documents called "records" can be manipulated and observed by backend-processes or clients. How can I specify RTSP streaming of DeepStream output? 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. smart-rec-duration= The property bufapi-version is missing from nvv4l2decoder, what to do? How can I verify that CUDA was installed correctly? My DeepStream performance is lower than expected. GstBin which is the recordbin of NvDsSRContext must be added to the pipeline. 5.1 Adding GstMeta to buffers before nvstreammux. Why am I getting ImportError: No module named google.protobuf.internal when running convert_to_uff.py on Jetson AGX Xavier? In smart record, encoded frames are cached to save on CPU memory. Therefore, a total of startTime + duration seconds of data will be recorded. My DeepStream performance is lower than expected. How can I determine the reason? Last updated on Feb 02, 2023. On Jetson platform, I get same output when multiple Jpeg images are fed to nvv4l2decoder using multifilesrc plugin. Can Gst-nvinferserver support models across processes or containers? , awarded WBR. Recording also can be triggered by JSON messages received from the cloud. How to find out the maximum number of streams supported on given platform? Learn More. Below diagram shows the smart record architecture: From DeepStream 6.0, Smart Record also supports audio. What are the recommended values for. Any data that is needed during callback function can be passed as userData. The params structure must be filled with initialization parameters required to create the instance. What is the difference between batch-size of nvstreammux and nvinfer? How can I check GPU and memory utilization on a dGPU system? 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. How can I display graphical output remotely over VNC? After pulling the container, you might open the notebook deepstream-rtsp-out.ipynb and create a RTSP source. 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 Observing video and/or audio stutter (low framerate), 2. See the gst-nvdssr.h header file for more details. 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. The DeepStream runtime system is pipelined to enable deep learning inference, image, and sensor processing, and sending insights to the cloud in a streaming application. Python is easy to use and widely adopted by data scientists and deep learning experts when creating AI models. What is maximum duration of data I can cache as history for smart record? Refer to this post for more details. There are more than 20 plugins that are hardware accelerated for various tasks. The data types are all in native C and require a shim layer through PyBindings or NumPy to access them from the Python app. This app is fully configurable - it allows users to configure any type and number of sources. 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. DeepStream 5.1 To start with, lets prepare a RTSP stream using DeepStream. 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 see the below Error while processing H265 RTSP stream? When deepstream-app is run in loop on Jetson AGX Xavier using while true; do deepstream-app -c ; done;, after a few iterations I see low FPS for certain iterations. How to find the performance bottleneck in DeepStream? Call NvDsSRDestroy() to free resources allocated by this function. How to use the OSS version of the TensorRT plugins in DeepStream? Following are the default values of configuration parameters: Following fields can be used under [sourceX] groups to configure these parameters. What is batch-size differences for a single model in different config files (. Native TensorRT inference is performed using Gst-nvinfer plugin and inference using Triton is done using Gst-nvinferserver plugin. Unable to start the composer in deepstream development docker. Does DeepStream Support 10 Bit Video streams? In case a Stop event is not generated. AGX Xavier consuming events from Kafka Cluster to trigger SVR. Add this bin after the parser element in the pipeline. When to start smart recording and when to stop smart recording depend on your design. In case duration is set to zero, recording will be stopped after defaultDuration seconds set in NvDsSRCreate(). DeepStream is only a SDK which provide HW accelerated APIs for video inferencing, video decoding, video processing, etc. Do I need to add a callback function or something else? What are different Memory transformations supported on Jetson and dGPU? userData received in that callback is the one which is passed during NvDsSRStart(). smart-rec-file-prefix= After inference, the next step could involve tracking the object. Does Gst-nvinferserver support Triton multiple instance groups? Add this bin after the audio/video parser element in the pipeline. What is the approximate memory utilization for 1080p streams on dGPU? Copyright 2021, Season. In existing deepstream-test5-app only RTSP sources are enabled for smart record. For unique names every source must be provided with a unique prefix. Edge AI device (AGX Xavier) is used for this demonstration. deepstream smart record. What is the official DeepStream Docker image and where do I get it? 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. Do I need to add a callback function or something else? Smart Video Record DeepStream 6.1.1 Release documentation This recording happens in parallel to the inference pipeline running over the feed. deepstream-testsr is to show the usage of smart recording interfaces. This is currently supported for Kafka. How to tune GPU memory for Tensorflow models? TensorRT accelerates the AI inference on NVIDIA GPU. In case duration is set to zero, recording will be stopped after defaultDuration seconds set in NvDsSRCreate(). This causes the duration of the generated video to be less than the value specified. because when I try deepstream-app with smart-recording configured for 1 source, the behaviour is perfect. The deepstream-test2 progresses from test1 and cascades secondary network to the primary network. #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. 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) Can Gst-nvinfereserver (DeepSream Triton plugin) run on Nano platform? The following minimum json message from the server is expected to trigger the Start/Stop of smart record. Call NvDsSRDestroy() to free resources allocated by this function. Using records Records are requested using client.record.getRecord (name). For unique names every source must be provided with a unique prefix. Why do I observe: A lot of buffers are being dropped. This is the time interval in seconds for SR start / stop events generation. World-class customer support and in-house procurement experts. How to find out the maximum number of streams supported on given platform? MP4 and MKV containers are supported. It will not conflict to any other functions in your application. How can I change the location of the registry logs? This parameter will increase the overall memory usages of the application. deepstream.io Record Records are one of deepstream's core features. What are the recommended values for. 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. My component is getting registered as an abstract type. This button displays the currently selected search type. The graph below shows a typical video analytic application starting from input video to outputting insights. Why do I see the below Error while processing H265 RTSP stream? How can I construct the DeepStream GStreamer pipeline? Why is a Gst-nvegltransform plugin required on a Jetson platform upstream from Gst-nveglglessink? Running with an X server by creating virtual display, 2 . Can I record the video with bounding boxes and other information overlaid? The message format is as follows: Receiving and processing such messages from the cloud is demonstrated in the deepstream-test5 sample application. The params structure must be filled with initialization parameters required to create the instance. 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. What is the difference between batch-size of nvstreammux and nvinfer? In existing deepstream-test5-app only RTSP sources are enabled for smart record. DeepStream pipelines can be constructed using Gst-Python, the GStreamer frameworks Python bindings. If current time is t1, content from t1 - startTime to t1 + duration will be saved to file. A Record is an arbitrary JSON data structure that can be created, retrieved, updated, deleted and listened to. #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 . Why does the RTSP source used in gst-launch pipeline through uridecodebin show blank screen followed by the error -. Why does my image look distorted if I wrap my cudaMalloced memory into NvBufSurface and provide to NvBufSurfTransform? How to enable TensorRT optimization for Tensorflow and ONNX models? Why am I getting following waring when running deepstream app for first time? 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. 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? Does DeepStream Support 10 Bit Video streams? Can Jetson platform support the same features as dGPU for Triton plugin? Prefix of file name for generated video. 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.