deepstream smart record deepstream smart record

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 pipelines can be constructed using Gst-Python, the GStreamer frameworks Python bindings. DeepStream - Smart Video Recording DeepStream User Guide ds-doc-1 Does Gst-nvinferserver support Triton multiple instance groups? Sample Helm chart to deploy DeepStream application is available on NGC. 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. Does DeepStream Support 10 Bit Video streams? Size of cache in seconds. Why do I encounter such error while running Deepstream pipeline memory type configured and i/p buffer mismatch ip_surf 0 muxer 3? Why do I observe: A lot of buffers are being dropped. For creating visualization artifacts such as bounding boxes, segmentation masks, labels there is a visualization plugin called Gst-nvdsosd. Based on the event, these cached frames are encapsulated under the chosen container to generate the recorded video. The source code for this application is available in /opt/nvidia/deepstream/deepstream-6.0/sources/apps/sample_apps/deepstream-app. How can I interpret frames per second (FPS) display information on console? The pre-processing can be image dewarping or color space conversion. What are the sample pipelines for nvstreamdemux? recordbin of NvDsSRContext is smart record bin which must be added to the pipeline. Once the frames are in the memory, they are sent for decoding using the NVDEC accelerator. KAFKA_TRANSACTION_STATE_LOG_REPLICATION_FACTOR, KAFKA_CONFLUENT_LICENSE_TOPIC_REPLICATION_FACTOR, KAFKA_CONFLUENT_BALANCER_TOPIC_REPLICATION_FACTOR, CONFLUENT_METRICS_REPORTER_BOOTSTRAP_SERVERS, CONFLUENT_METRICS_REPORTER_TOPIC_REPLICAS, 3. 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. because when I try deepstream-app with smart-recording configured for 1 source, the behaviour is perfect. And once it happens, container builder may return errors again and again. What is maximum duration of data I can cache as history for smart record? This recording happens in parallel to the inference pipeline running over the feed. Revision 6f7835e1. deepstream smart record. DeepStream Reference Application - deepstream-app DeepStream 6.1.1 Release documentation. World-class customer support and in-house procurement experts. NVIDIA introduced Python bindings to help you build high-performance AI applications using Python. What should I do if I want to set a self event to control the record? To learn more about bi-directional capabilities, see the Bidirectional Messaging section in this guide. I'll be adding new github Issues for both items, but will leave this issue open until then. Any change to a record is instantly synced across all connected clients. It returns the session id which later can be used in NvDsSRStop() to stop the corresponding recording. Do I need to add a callback function or something else? Both audio and video will be recorded to the same containerized file. How to find the performance bottleneck in DeepStream? How can I specify RTSP streaming of DeepStream output? Its lightning-fast realtime data platform helps developers of any background or skillset build apps, IoT platforms, and backends that always stay in sync - without having to worry about infrastructure or . The registry failed to perform an operation and reported an error message. Here startTime specifies the seconds before the current time and duration specifies the seconds after the start of recording. 5.1 Adding GstMeta to buffers before nvstreammux. What is the official DeepStream Docker image and where do I get it? After decoding, there is an optional image pre-processing step where the input image can be pre-processed before inference. Bei Erweiterung erscheint eine Liste mit Suchoptionen, die die Sucheingaben so ndern, dass sie zur aktuellen Auswahl passen. Sink plugin shall not move asynchronously to PAUSED, 5. This causes the duration of the generated video to be less than the value specified. # Configure this group to enable cloud message consumer. For unique names every source must be provided with a unique prefix. smart-rec-start-time= smart-rec-dir-path= deepstream smart record. It comes pre-built with an inference plugin to do object detection cascaded by inference plugins to do image classification. This application is covered in greater detail in the DeepStream Reference Application - deepstream-app chapter. How can I interpret frames per second (FPS) display information on console? smart-rec-video-cache= 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-file-prefix= AGX Xavier consuming events from Kafka Cluster to trigger SVR. In existing deepstream-test5-app only RTSP sources are enabled for smart record. In case a Stop event is not generated. 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. 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 can I verify that CUDA was installed correctly? When to start smart recording and when to stop smart recording depend on your design. The plugin for decode is called Gst-nvvideo4linux2. Dieser Button zeigt den derzeit ausgewhlten Suchtyp an. deepstream.io Details are available in the Readme First section of this document. userData received in that callback is the one which is passed during NvDsSRStart(). The message format is as follows: Receiving and processing such messages from the cloud is demonstrated in the deepstream-test5 sample application. Does Gst-nvinferserver support Triton multiple instance groups? Thanks for ur reply! The next step is to batch the frames for optimal inference performance. What is the official DeepStream Docker image and where do I get it? What are different Memory transformations supported on Jetson and dGPU? smart-rec-duration= How does secondary GIE crop and resize objects? How to handle operations not supported by Triton Inference Server? How can I display graphical output remotely over VNC? Abstract This work presents SafeFac, an intelligent camera-based system for managing the safety of factory environments. 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. In case a Stop event is not generated. Smart video record is used for event (local or cloud) based recording of original data feed. All the individual blocks are various plugins that are used. In existing deepstream-test5-app only RTSP sources are enabled for smart record. What are different Memory types supported on Jetson and dGPU? When executing a graph, the execution ends immediately with the warning No system specified. 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. How to enable TensorRT optimization for Tensorflow and ONNX models? 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? 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= What are the sample pipelines for nvstreamdemux? Why am I getting following waring when running deepstream app for first time? What is the approximate memory utilization for 1080p streams on dGPU? Issue Type( questions). [When user expect to not use a Display window], My component is not visible in the composer even after registering the extension with registry. A video cache is maintained so that recorded video has frames both before and after the event is generated. Any data that is needed during callback function can be passed as userData. 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. Can users set different model repos when running multiple Triton models in single process? Native TensorRT inference is performed using Gst-nvinfer plugin and inference using Triton is done using Gst-nvinferserver plugin. To enable audio, a GStreamer element producing encoded audio bitstream must be linked to the asink pad of the smart record bin. How to enable TensorRT optimization for Tensorflow and ONNX models? To trigger SVR, AGX Xavier expects to receive formatted JSON messages from Kafka server: To implement custom logic to produce the messages, we write trigger-svr.py. #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. Why is that? Why does the RTSP source used in gst-launch pipeline through uridecodebin show blank screen followed by the error -. See the C/C++ Sample Apps Source Details and Python Sample Apps and Bindings Source Details sections to learn more about the available apps. What is the recipe for creating my own Docker image? See the deepstream_source_bin.c for more details on using this module. In the list of local_copy_files, if src is a folder, Any difference for dst ends with / or not? 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. To learn more about deployment with dockers, see the Docker container chapter. Video 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, 5. In the deepstream-test5-app, to demonstrate the use case smart record Start / Stop events are generated every interval second. How to tune GPU memory for Tensorflow models? Why is the Gst-nvstreammux plugin required in DeepStream 4.0+? Why do I see the below Error while processing H265 RTSP stream? In existing deepstream-test5-app only RTSP sources are enabled for smart record. In this documentation, we will go through, producing events to Kafka Cluster from AGX Xavier during DeepStream runtime, and. The params structure must be filled with initialization parameters required to create the instance. 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? Uncategorized. # Use this option if message has sensor name as id instead of index (0,1,2 etc.). Ive configured smart-record=2 as the document said, using local event to start or end video-recording. How can I verify that CUDA was installed correctly? This means, the recording cannot be started until we have an Iframe. Call NvDsSRDestroy() to free resources allocated by this function. Optimizing nvstreammux config for low-latency vs Compute, 6. The events are transmitted over Kafka to a streaming and batch analytics backbone. userData received in that callback is the one which is passed during NvDsSRStart(). How to clean and restart? Optimum memory management with zero-memory copy between plugins and the use of various accelerators ensure the highest performance. By default, Smart_Record is the prefix in case this field is not set. 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. 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. Copyright 2023, NVIDIA. That means smart record Start/Stop events are generated every 10 seconds through local events. My DeepStream performance is lower than expected. What is the difference between DeepStream classification and Triton classification? Please make sure you understand how to migrate your DeepStream 5.1 custom models to DeepStream 6.0 before you start. Please see the Graph Composer Introduction for details. How can I run the DeepStream sample application in debug mode? In this documentation, we will go through Host Kafka server, producing events to Kafka Cluster from AGX Xavier during DeepStream runtime, and This is currently supported for Kafka. I started the record with a set duration. Are multiple parallel records on same source supported? How does secondary GIE crop and resize objects? Whats the throughput of H.264 and H.265 decode on dGPU (Tesla)? deepstream smart record How can I determine the reason? Can Gst-nvinferserver support models cross processes or containers? Yes, on both accounts. How to find out the maximum number of streams supported on given platform? Smart Parking Detection | NVIDIA NGC How does secondary GIE crop and resize objects? Smart Video Record DeepStream 5.1 Release documentation #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 . Can Gst-nvinferserver support inference on multiple GPUs? What if I dont set default duration for smart record? Why cant I paste a component after copied one? Which Triton version is supported in DeepStream 5.1 release? A callback function can be setup to get the information of recorded video once recording stops. A Record is an arbitrary JSON data structure that can be created, retrieved, updated, deleted and listened to. This is a good reference application to start learning the capabilities of DeepStream. Below diagram shows the smart record architecture: From DeepStream 6.0, Smart Record also supports audio. 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. DeepStream - Tracker Configurations DeepStream User Guide ds-doc-1 Last updated on Feb 02, 2023. Observing video and/or audio stutter (low framerate), 2. What is the difference between batch-size of nvstreammux and nvinfer? There are two ways in which smart record events can be generated either through local events or through cloud messages. DeepStream builds on top of several NVIDIA libraries from the CUDA-X stack such as CUDA, TensorRT, NVIDIA Triton Inference server and multimedia libraries. Why is that? When expanded it provides a list of search options that will switch the search inputs to match the current selection. There are two ways in which smart record events can be generated either through local events or through cloud messages. It's free to sign up and bid on jobs.