deepstream smart record

How can I check GPU and memory utilization on a dGPU system? Why does my image look distorted if I wrap my cudaMalloced memory into NvBufSurface and provide to NvBufSurfTransform? Users can also select the type of networks to run inference. Any data that is needed during callback function can be passed as userData. 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. DeepStream applications can be orchestrated on the edge using Kubernetes on GPU. Streaming data can come over the network through RTSP or from a local file system or from a camera directly. Why do some caffemodels fail to build after upgrading to DeepStream 5.1? I started the record with a set duration. Why is that? This function stops the previously started recording. 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. Below diagram shows the smart record architecture: This module provides the following APIs. How to find out the maximum number of streams supported on given platform? Why is the Gst-nvstreammux plugin required in DeepStream 4.0+? Modifications made: (1) based on the results of the real-time video analysis, and: (2) by the application user through external input. How to use the OSS version of the TensorRT plugins in DeepStream? Why does the deepstream-nvof-test application show the error message Device Does NOT support Optical Flow Functionality ? This application will work for all AI models with detailed instructions provided in individual READMEs. How can I determine the reason? If current time is t1, content from t1 - startTime to t1 + duration will be saved to file. I'll be adding new github Issues for both items, but will leave this issue open until then. What is batch-size differences for a single model in different config files (. On Jetson platform, I get same output when multiple Jpeg images are fed to nvv4l2decoder using multifilesrc plugin. Why I cannot run WebSocket Streaming with Composer? Nothing to do. 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. In existing deepstream-test5-app only RTSP sources are enabled for smart record. DeepStream builds on top of several NVIDIA libraries from the CUDA-X stack such as CUDA, TensorRT, NVIDIA Triton Inference server and multimedia libraries. How to handle operations not supported by Triton Inference Server? See the C/C++ Sample Apps Source Details and Python Sample Apps and Bindings Source Details sections to learn more about the available apps. Why do I see the below Error while processing H265 RTSP stream? How can I run the DeepStream sample application in debug mode? Why is a Gst-nvegltransform plugin required on a Jetson platform upstream from Gst-nveglglessink? With DeepStream you can trial our platform for free for 14-days, no commitment required. Smart-rec-container=<0/1> What is the difference between DeepStream classification and Triton classification? Why am I getting following waring when running deepstream app for first time? How to enable TensorRT optimization for Tensorflow and ONNX models? There are more than 20 plugins that are hardware accelerated for various tasks. Can I record the video with bounding boxes and other information overlaid? 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). DeepStream is a streaming analytic toolkit to build AI-powered applications. Can Jetson platform support the same features as dGPU for Triton plugin? In the list of local_copy_files, if src is a folder, Any difference for dst ends with / or not? 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. Any change to a record is instantly synced across all connected clients. Last updated on Sep 10, 2021. Why do I encounter such error while running Deepstream pipeline memory type configured and i/p buffer mismatch ip_surf 0 muxer 3? To learn more about these security features, read the IoT chapter. Can I record the video with bounding boxes and other information overlaid? How can I know which extensions synchronized to registry cache correspond to a specific repository? Here, start time of recording is the number of seconds earlier to the current time to start the recording. Smart-rec-container=<0/1> Why do some caffemodels fail to build after upgrading to DeepStream 6.2? You can design your own application functions. What are the recommended values for. deepstream smart record. It comes pre-built with an inference plugin to do object detection cascaded by inference plugins to do image classification. 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. Why am I getting ImportError: No module named google.protobuf.internal when running convert_to_uff.py on Jetson AGX Xavier? Why do I observe: A lot of buffers are being dropped. How to measure pipeline latency if pipeline contains open source components. 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. However, when configuring smart-record for multiple sources the duration of the videos are no longer consistent (different duration for each video). Where can I find the DeepStream sample applications? 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. Optimum memory management with zero-memory copy between plugins and the use of various accelerators ensure the highest performance. How can I determine the reason? How can I run the DeepStream sample application in debug mode? What if I dont set video cache size for smart record? #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) My DeepStream performance is lower than expected. This parameter will increase the overall memory usages of the application. How do I configure the pipeline to get NTP timestamps? This function creates the instance of smart record and returns the pointer to an allocated NvDsSRContext. I started the record with a set duration. What should I do if I want to set a self event to control the record? Developers can start with deepstream-test1 which is almost like a DeepStream hello world. There are several built-in reference trackers in the SDK, ranging from high performance to high accuracy. Based on the event, these cached frames are encapsulated under the chosen container to generate the recorded video. In existing deepstream-test5-app only RTSP sources are enabled for smart record. I started the record with a set duration. How can I change the location of the registry logs? Yes, on both accounts. This parameter will ensure the recording is stopped after a predefined default duration. 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 does the RTSP source used in gst-launch pipeline through uridecodebin show blank screen followed by the error -. Native TensorRT inference is performed using Gst-nvinfer plugin and inference using Triton is done using Gst-nvinferserver plugin. 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 is that? For unique names every source must be provided with a unique prefix. How can I verify that CUDA was installed correctly? DeepStream ships with several out of the box security protocols such as SASL/Plain authentication using username/password and 2-way TLS authentication. On Jetson platform, I get same output when multiple Jpeg images are fed to nvv4l2decoder using multifilesrc plugin. Why do I encounter such error while running Deepstream pipeline memory type configured and i/p buffer mismatch ip_surf 0 muxer 3? The property bufapi-version is missing from nvv4l2decoder, what to do? 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. Do I need to add a callback function or something else? On Jetson platform, I observe lower FPS output when screen goes idle. Object tracking is performed using the Gst-nvtracker plugin. '/usr/lib/aarch64-linux-gnu/gstreamer-1.0/libgstlibav.so': # Configure this group to enable cloud message consumer. Freelancer What happens if unsupported fields are added into each section of the YAML file? The data types are all in native C and require a shim layer through PyBindings or NumPy to access them from the Python app. To learn more about bi-directional capabilities, see the Bidirectional Messaging section in this guide. In SafeFac a set of cameras installed on the assembly line are used to captu. This function releases the resources previously allocated by NvDsSRCreate(). Where can I find the DeepStream sample applications? . Thanks for ur reply! When to start smart recording and when to stop smart recording depend on your design. They are atomic bits of JSON data that can be manipulated and observed. Based on the event, these cached frames are encapsulated under the chosen container to generate the recorded video. [When user expect to not use a Display window], My component is not visible in the composer even after registering the extension with registry. The property bufapi-version is missing from nvv4l2decoder, what to do? smart-rec-dir-path= And once it happens, container builder may return errors again and again. Can I stop it before that duration ends? Why is that? 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. Configure DeepStream application to produce events, 4. The message format is as follows: Receiving and processing such messages from the cloud is demonstrated in the deepstream-test5 sample application. The size of the video cache can be configured per use case. Please help to open a new topic if still an issue to support. Gst-nvdewarper plugin can dewarp the image from a fisheye or 360 degree camera. This function releases the resources previously allocated by NvDsSRCreate(). GstBin which is the recordbin of NvDsSRContext must be added to the pipeline. Call NvDsSRDestroy() to free resources allocated by this function. DeepStream provides building blocks in the form of GStreamer plugins that can be used to construct an efficient video analytic pipeline. How to find out the maximum number of streams supported on given platform? What are different Memory transformations supported on Jetson and dGPU? Does Gst-nvinferserver support Triton multiple instance groups? What is the difference between batch-size of nvstreammux and nvinfer? Once the frames are in the memory, they are sent for decoding using the NVDEC accelerator. Why is a Gst-nvegltransform plugin required on a Jetson platform upstream from Gst-nveglglessink? 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. Why do I observe a lot of buffers being dropped when running deepstream-nvdsanalytics-test application on Jetson Nano ? That means smart record Start/Stop events are generated every 10 seconds through local events. Why do I see the below Error while processing H265 RTSP stream? Gst-nvvideoconvert plugin can perform color format conversion on the frame. My DeepStream performance is lower than expected. For developers looking to build their custom application, the deepstream-app can be a bit overwhelming to start development. How to handle operations not supported by Triton Inference Server?