deepstream smart record

To enable audio, a GStreamer element producing encoded audio bitstream must be linked to the asink pad of the smart record bin. Do I need to add a callback function or something else? Observing video and/or audio stutter (low framerate), 2. Native TensorRT inference is performed using Gst-nvinfer plugin and inference using Triton is done using Gst-nvinferserver plugin. How to find out the maximum number of streams supported on given platform? Issue Type( questions). Optimum memory management with zero-memory copy between plugins and the use of various accelerators ensure the highest performance. 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. This app is fully configurable - it allows users to configure any type and number of sources. Streaming data can come over the network through RTSP or from a local file system or from a camera directly. What is maximum duration of data I can cache as history for smart record? Lets go back to AGX Xavier for next step. How to find out the maximum number of streams supported on given platform? The size of the video cache can be configured per use case. Nothing to do. How can I display graphical output remotely over VNC? Can Gst-nvinfereserver (DeepSream Triton plugin) run on Nano platform? How to tune GPU memory for Tensorflow models? This application will work for all AI models with detailed instructions provided in individual READMEs. Why is a Gst-nvegltransform plugin required on a Jetson platform upstream from Gst-nveglglessink? That means smart record Start/Stop events are generated every 10 seconds through local events. World-class customer support and in-house procurement experts. Optimizing nvstreammux config for low-latency vs Compute, 6. This parameter will increase the overall memory usages of the application. Why does the RTSP source used in gst-launch pipeline through uridecodebin show blank screen followed by the error -. What if I dont set video cache size for smart record? The graph below shows a typical video analytic application starting from input video to outputting insights. # Configure this group to enable cloud message consumer. 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? Object tracking is performed using the Gst-nvtracker plugin. 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. Surely it can. What are different Memory types supported on Jetson and dGPU? You can design your own application functions. What is the difference between DeepStream classification and Triton classification? DeepStream is a streaming analytic toolkit to build AI-powered applications. Why does the deepstream-nvof-test application show the error message Device Does NOT support Optical Flow Functionality ? What happens if unsupported fields are added into each section of the YAML file? What is the official DeepStream Docker image and where do I get it? In existing deepstream-test5-app only RTSP sources are enabled for smart record. Whats the throughput of H.264 and H.265 decode on dGPU (Tesla)? It returns the session id which later can be used in NvDsSRStop() to stop the corresponding recording. The deepstream-test2 progresses from test1 and cascades secondary network to the primary network. 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. Where can I find the DeepStream sample applications? 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. Regarding git source code compiling in compile_stage, Is it possible to compile source from HTTP archives? For sending metadata to the cloud, DeepStream uses Gst-nvmsgconv and Gst-nvmsgbroker plugin. Add this bin after the parser element in the pipeline. When running live camera streams even for few or single stream, also output looks jittery? In case a Stop event is not generated. Can Jetson platform support the same features as dGPU for Triton plugin? Why is the Gst-nvstreammux plugin required in DeepStream 4.0+? The pre-processing can be image dewarping or color space conversion. Why am I getting following warning when running deepstream app for first time? Copyright 2021, Season. Can users set different model repos when running multiple Triton models in single process? Tensor data is the raw tensor output that comes out after inference. Modifications made: (1) based on the results of the real-time video analysis, and: (2) by the application user through external input. Using records Records are requested using client.record.getRecord (name). This parameter will ensure the recording is stopped after a predefined default duration. How can I interpret frames per second (FPS) display information on console? For creating visualization artifacts such as bounding boxes, segmentation masks, labels there is a visualization plugin called Gst-nvdsosd. # Use this option if message has sensor name as id instead of index (0,1,2 etc.). deepstream-test5 sample application will be used for demonstrating SVR. One of the key capabilities of DeepStream is secure bi-directional communication between edge and cloud. How can I verify that CUDA was installed correctly? For unique names every source must be provided with a unique prefix. 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. Does DeepStream Support 10 Bit Video streams? Whats the throughput of H.264 and H.265 decode on dGPU (Tesla)? Dieser Button zeigt den derzeit ausgewhlten Suchtyp an. The first frame in the cache may not be an Iframe, so, some frames from the cache are dropped to fulfil this condition. In smart record, encoded frames are cached to save on CPU memory. This function creates the instance of smart record and returns the pointer to an allocated NvDsSRContext. To learn more about deployment with dockers, see the Docker container chapter. Are multiple parallel records on same source supported? How to clean and restart? The streams are captured using the CPU. # Use this option if message has sensor name as id instead of index (0,1,2 etc.). There is an option to configure a tracker. How can I check GPU and memory utilization on a dGPU system? Python is easy to use and widely adopted by data scientists and deep learning experts when creating AI models. GstBin which is the recordbin of NvDsSRContext must be added to the pipeline. '/usr/lib/aarch64-linux-gnu/gstreamer-1.0/libgstlibav.so': # Configure this group to enable cloud message consumer. There are several built-in broker protocols such as Kafka, MQTT, AMQP and Azure IoT. Please see the Graph Composer Introduction for details. # seconds before the current time to start recording. I'll be adding new github Issues for both items, but will leave this issue open until then. How to find out the maximum number of streams supported on given platform? The params structure must be filled with initialization parameters required to create the instance. What is batch-size differences for a single model in different config files (. Metadata propagation through nvstreammux and nvstreamdemux. Any change to a record is instantly synced across all connected clients. When running live camera streams even for few or single stream, also output looks jittery? deepstream smart record. See the C/C++ Sample Apps Source Details and Python Sample Apps and Bindings Source Details sections to learn more about the available apps. Prefix of file name for generated stream. When executing a graph, the execution ends immediately with the warning No system specified. 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. Why do I encounter such error while running Deepstream pipeline memory type configured and i/p buffer mismatch ip_surf 0 muxer 3? Does smart record module work with local video streams? What is the official DeepStream Docker image and where do I get it? In SafeFac a set of cameras installed on the assembly line are used to captu. Only the data feed with events of importance is recorded instead of always saving the whole feed. What should I do if I want to set a self event to control the record? Smart-rec-container=<0/1> In the deepstream-test5-app, to demonstrate the use case smart record Start / Stop events are generated every interval second. See the gst-nvdssr.h header file for more details. Why do I observe: A lot of buffers are being dropped. This is a good reference application to start learning the capabilities of DeepStream. Recording also can be triggered by JSON messages received from the cloud. To start with, lets prepare a RTSP stream using DeepStream. What if I dont set default duration for smart record? At the bottom are the different hardware engines that are utilized throughout the application. Gst-nvvideoconvert plugin can perform color format conversion on the frame. By default, the current directory is used. In case a Stop event is not generated. What are the sample pipelines for nvstreamdemux? Why am I getting ImportError: No module named google.protobuf.internal when running convert_to_uff.py on Jetson AGX Xavier? For the output, users can select between rendering on screen, saving the output file, or streaming the video out over RTSP. 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. This means, the recording cannot be started until we have an Iframe. Path of directory to save the recorded file. Edge AI device (AGX Xavier) is used for this demonstration. Sink plugin shall not move asynchronously to PAUSED, 5. Why does the RTSP source used in gst-launch pipeline through uridecodebin show blank screen followed by the error -. Any data that is needed during callback function can be passed as userData. Does smart record module work with local video streams? The params structure must be filled with initialization parameters required to create the instance. Copyright 2020-2021, NVIDIA. The source code for this application is available in /opt/nvidia/deepstream/deepstream-6.0/sources/apps/sample_apps/deepstream-app. 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. Any data that is needed during callback function can be passed as userData. Can I stop it before that duration ends? Below diagram shows the smart record architecture: This module provides the following APIs. How to extend this to work with multiple sources? Smart-rec-container=<0/1> How can I display graphical output remotely over VNC? Smart video record is used for event (local or cloud) based recording of original data feed. There are several built-in reference trackers in the SDK, ranging from high performance to high accuracy. What is the difference between DeepStream classification and Triton classification? 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. Why am I getting following waring when running deepstream app for first time? How to enable TensorRT optimization for Tensorflow and ONNX models? In the deepstream-test5-app, to demonstrate the use case smart record Start / Stop events are generated every interval second. When expanded it provides a list of search options that will switch the search inputs to match the current selection. My DeepStream performance is lower than expected. Thanks for ur reply! Please make sure you understand how to migrate your DeepStream 5.1 custom models to DeepStream 6.0 before you start. Why does the RTSP source used in gst-launch pipeline through uridecodebin show blank screen followed by the error -. GstBin which is the recordbin of NvDsSRContext must be added to the pipeline. What is the approximate memory utilization for 1080p streams on dGPU? This function starts writing the cached video data to a file. How do I configure the pipeline to get NTP timestamps? This is currently supported for Kafka. When to start smart recording and when to stop smart recording depend on your design. Why is that? This is currently supported for Kafka. How can I check GPU and memory utilization on a dGPU system? For example, the record starts when theres an object being detected in the visual field. This recording happens in parallel to the inference pipeline running over the feed. Can I record the video with bounding boxes and other information overlaid? For deployment at scale, you can build cloud-native, DeepStream applications using containers and orchestrate it all with Kubernetes platforms. Why does my image look distorted if I wrap my cudaMalloced memory into NvBufSurface and provide to NvBufSurfTransform? This causes the duration of the generated video to be less than the value specified. Why do I observe a lot of buffers being dropped When running deepstream-nvdsanalytics-test application on Jetson Nano ? Why do I observe: A lot of buffers are being dropped. smart-rec-interval= 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= Does Gst-nvinferserver support Triton multiple instance groups? How can I know which extensions synchronized to registry cache correspond to a specific repository? How can I construct the DeepStream GStreamer pipeline? What types of input streams does DeepStream 6.0 support? Why do some caffemodels fail to build after upgrading to DeepStream 6.2? This is the time interval in seconds for SR start / stop events generation. Where can I find the DeepStream sample applications? Why do I see the below Error while processing H265 RTSP stream? They are atomic bits of JSON data that can be manipulated and observed. DeepStream applications can be deployed in containers using NVIDIA container Runtime. 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. What is the recipe for creating my own Docker image? To get started, developers can use the provided reference applications. Why do I see the below Error while processing H265 RTSP stream? Does deepstream Smart Video Record support multi streams? 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. Today, Deepstream has become the silent force behind some of the world's largest banks, communication, and entertainment companies. For example, the record starts when theres an object being detected in the visual field. In this app, developers will learn how to build a GStreamer pipeline using various DeepStream plugins. This application is covered in greater detail in the DeepStream Reference Application - deepstream-app chapter. Here, start time of recording is the number of seconds earlier to the current time to start the recording. 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.

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