deepstream smart record deepstream smart record

Why do I encounter such error while running Deepstream pipeline memory type configured and i/p buffer mismatch ip_surf 0 muxer 3? Optimum memory management with zero-memory copy between plugins and the use of various accelerators ensure the highest performance. Developers can start with deepstream-test1 which is almost like a DeepStream hello world. Recording also can be triggered by JSON messages received from the cloud. Users can also select the type of networks to run inference. 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. 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? Can I stop it before that duration ends? Can I record the video with bounding boxes and other information overlaid? 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. What if I dont set video cache size for smart record? Here, start time of recording is the number of seconds earlier to the current time to start the recording. Does smart record module work with local video streams? Why is that? 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. Read more about DeepStream here. What is the difference between batch-size of nvstreammux and nvinfer? Can users set different model repos when running multiple Triton models in single process? . DeepStream Reference Application - deepstream-app DeepStream 6.2 What is the difference between batch-size of nvstreammux and nvinfer? Why is a Gst-nvegltransform plugin required on a Jetson platform upstream from Gst-nveglglessink? How can I run the DeepStream sample application in debug mode? deepstream.io What if I dont set default duration for smart record? My DeepStream performance is lower than expected. How can I run the DeepStream sample application in debug mode? Call NvDsSRDestroy() to free resources allocated by this function. London, awarded World book of records 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 . GstBin which is the recordbin of NvDsSRContext must be added to the pipeline. tensorflow python framework errors impl notfounderror no cpu devices are available in this process How to find out the maximum number of streams supported on given platform? The first frame in the cache may not be an Iframe, so, some frames from the cache are dropped to fulfil this condition. A video cache is maintained so that recorded video has frames both before and after the event is generated. 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. Welcome to the DeepStream Documentation DeepStream 6.0 Release [When user expect to use Display window], 2. This function creates the instance of smart record and returns the pointer to an allocated NvDsSRContext. Last updated on Oct 27, 2021. On Jetson platform, I get same output when multiple Jpeg images are fed to nvv4l2decoder using multifilesrc plugin. Native TensorRT inference is performed using Gst-nvinfer plugin and inference using Triton is done using Gst-nvinferserver plugin. Why does the RTSP source used in gst-launch pipeline through uridecodebin show blank screen followed by the error -. There are two ways in which smart record events can be generated - either through local events or through cloud messages. Why is a Gst-nvegltransform plugin required on a Jetson platform upstream from Gst-nveglglessink? Based on the event, these cached frames are encapsulated under the chosen container to generate the recorded video. How to find the performance bottleneck in DeepStream? Observing video and/or audio stutter (low framerate), 2. How do I configure the pipeline to get NTP timestamps? 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 cache size must be greater than the N. smart-rec-default-duration= [When user expect to not use a Display window], My component is not visible in the composer even after registering the extension with registry. deepstream.io In existing deepstream-test5-app only RTSP sources are enabled for smart record. It returns the session id which later can be used in NvDsSRStop() to stop the corresponding recording. How to find the performance bottleneck in DeepStream? 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 are different Memory types supported on Jetson and dGPU? How to measure pipeline latency if pipeline contains open source components. Can Gst-nvinferserver support inference on multiple GPUs? They will take video from a file, decode, batch and then do object detection and then finally render the boxes on the screen. 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 to handle operations not supported by Triton Inference Server? For example, the record starts when theres an object being detected in the visual field. Smart Video Record DeepStream 6.2 Release documentation Why do I see the below Error while processing H265 RTSP stream? Why do I see the below Error while processing H265 RTSP stream? Smart Record Deepstream Deepstream Version: 5.1 documentation How can I interpret frames per second (FPS) display information on console? The containers are available on NGC, NVIDIA GPU cloud registry. 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. See the gst-nvdssr.h header file for more details. In the list of local_copy_files, if src is a folder, Any difference for dst ends with / or not? What are the recommended values for. DeepStream is a streaming analytic toolkit to build AI-powered applications. How can I specify RTSP streaming of DeepStream output? 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. Once the frames are in the memory, they are sent for decoding using the NVDEC accelerator. The property bufapi-version is missing from nvv4l2decoder, what to do? Any data that is needed during callback function can be passed as userData. GstBin which is the recordbin of NvDsSRContext must be added to the pipeline. If you are familiar with gstreamer programming, it is very easy to add multiple streams. How to fix cannot allocate memory in static TLS block error? deepstream-testsr is to show the usage of smart recording interfaces. # seconds before the current time to start recording. Size of video cache in seconds. It returns the session id which later can be used in NvDsSRStop() to stop the corresponding recording. Python is easy to use and widely adopted by data scientists and deep learning experts when creating AI models. Here startTime specifies the seconds before the current time and duration specifies the seconds after the start of recording. To enable audio, a GStreamer element producing encoded audio bitstream must be linked to the asink pad of the smart record bin. What is batch-size differences for a single model in different config files (, Generating a non-DeepStream (GStreamer) extension, Generating a DeepStream (GStreamer) extension, Extension and component factory registration boilerplate, Implementation of INvDsInPlaceDataHandler, Implementation of an Configuration Provider component, DeepStream Domain Component - INvDsComponent, Probe Callback Implementation - INvDsInPlaceDataHandler, Element Property Controller INvDsPropertyController, Configurations INvDsConfigComponent template and specializations, INvDsVideoTemplatePluginConfigComponent / INvDsAudioTemplatePluginConfigComponent, Setting up a Connection from an Input to an Output, A Basic Example of Container Builder Configuration, Container builder main control section specification, Container dockerfile stage section specification, nvidia::deepstream::NvDsMultiSrcConnection, nvidia::deepstream::NvDsGxfObjectDataTranslator, nvidia::deepstream::NvDsGxfAudioClassificationDataTranslator, nvidia::deepstream::NvDsGxfOpticalFlowDataTranslator, nvidia::deepstream::NvDsGxfSegmentationDataTranslator, nvidia::deepstream::NvDsGxfInferTensorDataTranslator, nvidia::BodyPose2D::NvDsGxfBodypose2dDataTranslator, nvidia::deepstream::NvDsMsgRelayTransmitter, nvidia::deepstream::NvDsMsgBrokerC2DReceiver, nvidia::deepstream::NvDsMsgBrokerD2CTransmitter, nvidia::FacialLandmarks::FacialLandmarksPgieModel, nvidia::FacialLandmarks::FacialLandmarksSgieModel, nvidia::FacialLandmarks::FacialLandmarksSgieModelV2, nvidia::FacialLandmarks::NvDsGxfFacialLandmarksTranslator, nvidia::HeartRate::NvDsHeartRateTemplateLib, nvidia::HeartRate::NvDsGxfHeartRateDataTranslator, nvidia::deepstream::NvDsModelUpdatedSignal, nvidia::deepstream::NvDsInferVideoPropertyController, nvidia::deepstream::NvDsLatencyMeasurement, nvidia::deepstream::NvDsAudioClassificationPrint, nvidia::deepstream::NvDsPerClassObjectCounting, nvidia::deepstream::NvDsModelEngineWatchOTFTrigger, nvidia::deepstream::NvDsRoiClassificationResultParse, nvidia::deepstream::INvDsInPlaceDataHandler, nvidia::deepstream::INvDsPropertyController, nvidia::deepstream::INvDsAudioTemplatePluginConfigComponent, nvidia::deepstream::INvDsVideoTemplatePluginConfigComponent, nvidia::deepstream::INvDsInferModelConfigComponent, nvidia::deepstream::INvDsGxfDataTranslator, nvidia::deepstream::NvDsOpticalFlowVisual, nvidia::deepstream::NvDsVideoRendererPropertyController, nvidia::deepstream::NvDsSampleProbeMessageMetaCreation, nvidia::deepstream::NvDsSampleSourceManipulator, nvidia::deepstream::NvDsSampleVideoTemplateLib, nvidia::deepstream::NvDsSampleAudioTemplateLib, nvidia::deepstream::NvDsSampleC2DSmartRecordTrigger, nvidia::deepstream::NvDsSampleD2C_SRMsgGenerator, nvidia::deepstream::NvDsResnet10_4ClassDetectorModel, nvidia::deepstream::NvDsSecondaryCarColorClassifierModel, nvidia::deepstream::NvDsSecondaryCarMakeClassifierModel, nvidia::deepstream::NvDsSecondaryVehicleTypeClassifierModel, nvidia::deepstream::NvDsSonyCAudioClassifierModel, nvidia::deepstream::NvDsCarDetector360dModel, nvidia::deepstream::NvDsSourceManipulationAction, nvidia::deepstream::NvDsMultiSourceSmartRecordAction, nvidia::deepstream::NvDsMultiSrcWarpedInput, nvidia::deepstream::NvDsMultiSrcInputWithRecord, nvidia::deepstream::NvDsOSDPropertyController, nvidia::deepstream::NvDsTilerEventHandler. This function starts writing the cached audio/video data to a file. What types of input streams does DeepStream 6.2 support? Batching is done using the Gst-nvstreammux plugin. How can I verify that CUDA was installed correctly? A video cache is maintained so that recorded video has frames both before and after the event is generated. Thanks again. 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 is the difference between DeepStream classification and Triton classification? How to set camera calibration parameters in Dewarper plugin config file? Karthick Iyer auf LinkedIn: Seamlessly Develop Vision AI Applications Only the data feed with events of importance is recorded instead of always saving the whole feed. Configure DeepStream application to produce events, 4. Records are the main building blocks of deepstream's data-sync capabilities. By default, Smart_Record is the prefix in case this field is not set. Why does my image look distorted if I wrap my cudaMalloced memory into NvBufSurface and provide to NvBufSurfTransform? . Path of directory to save the recorded file. There are two ways in which smart record events can be generated either through local events or through cloud messages. Why does the deepstream-nvof-test application show the error message Device Does NOT support Optical Flow Functionality ? This function releases the resources previously allocated by NvDsSRCreate(). What is the GPU requirement for running the Composer? Object tracking is performed using the Gst-nvtracker plugin. Prefix of file name for generated video. Modifications made: (1) based on the results of the real-time video analysis, and: (2) by the application user through external input. Why am I getting ImportError: No module named google.protobuf.internal when running convert_to_uff.py on Jetson AGX Xavier? smart-rec-dir-path= Recording also can be triggered by JSON messages received from the cloud. '/usr/lib/aarch64-linux-gnu/gstreamer-1.0/libgstlibav.so': # Configure this group to enable cloud message consumer. For deployment at scale, you can build cloud-native, DeepStream applications using containers and orchestrate it all with Kubernetes platforms. Dieser Button zeigt den derzeit ausgewhlten Suchtyp an. Produce device-to-cloud event messages, 5. How to clean and restart? Size of cache in seconds. smart-rec-cache= Copyright 2020-2021, NVIDIA. How to enable TensorRT optimization for Tensorflow and ONNX models? Why does the RTSP source used in gst-launch pipeline through uridecodebin show blank screen followed by the error -. How can I verify that CUDA was installed correctly? What is the official DeepStream Docker image and where do I get it? A callback function can be setup to get the information of recorded audio/video once recording stops. Edge AI device (AGX Xavier) is used for this demonstration. This causes the duration of the generated video to be less than the value specified. What are different Memory types supported on Jetson and dGPU? These plugins use GPU or VIC (vision image compositor). When running live camera streams even for few or single stream, also output looks jittery? This function releases the resources previously allocated by NvDsSRCreate(). Arvind Radhakrishnen auf LinkedIn: #bard #chatgpt #google #search # Below diagram shows the smart record architecture: This module provides the following APIs. What should I do if I want to set a self event to control the record? In existing deepstream-test5-app only RTSP sources are enabled for smart record. The params structure must be filled with initialization parameters required to create the instance. This is the time interval in seconds for SR start / stop events generation. 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. My DeepStream performance is lower than expected. To start with, lets prepare a RTSP stream using DeepStream. 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. Thanks for ur reply! Gst-nvvideoconvert plugin can perform color format conversion on the frame. Hardware Platform (Jetson / CPU) My component is getting registered as an abstract type. This parameter will ensure the recording is stopped after a predefined default duration. How do I obtain individual sources after batched inferencing/processing? Yes, on both accounts. MP4 and MKV containers are supported. Why is the Gst-nvstreammux plugin required in DeepStream 4.0+? You may also refer to Kafka Quickstart guide to get familiar with Kafka. Smart Video Record DeepStream 6.1.1 Release documentation Ive already run the program with multi streams input while theres another question Id like to ask. The deepstream-test2 progresses from test1 and cascades secondary network to the primary network. Copyright 2021, Season. The params structure must be filled with initialization parameters required to create the instance. smart-rec-video-cache= The following minimum json message from the server is expected to trigger the Start/Stop of smart record. How to tune GPU memory for Tensorflow models? Does DeepStream Support 10 Bit Video streams? Freelancer Sample Helm chart to deploy DeepStream application is available on NGC. AGX Xavier consuming events from Kafka Cluster to trigger SVR. In case duration is set to zero, recording will be stopped after defaultDuration seconds set in NvDsSRCreate(). Optimizing nvstreammux config for low-latency vs Compute, 6. 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= Copyright 2023, NVIDIA. 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) 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. Does deepstream Smart Video Record support multi streams? See NVIDIA-AI-IOT Github page for some sample DeepStream reference apps. See the gst-nvdssr.h header file for more details. The core function of DSL is to provide a simple and intuitive API for building, playing, and dynamically modifying NVIDIA DeepStream Pipelines. Following are the default values of configuration parameters: Following fields can be used under [sourceX] groups to configure these parameters. Ive configured smart-record=2 as the document said, using local event to start or end video-recording. Do I need to add a callback function or something else? 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. How can I determine the reason? 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. What if I dont set default duration for smart record? I'll be adding new github Issues for both items, but will leave this issue open until then. To get started, developers can use the provided reference applications. 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. Can Gst-nvinferserver support models across processes or containers? # default duration of recording in seconds. What is the recipe for creating my own Docker image? SafeFac: : Video-based smart safety monitoring for preventing 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. Gst-nvmsgconv converts the metadata into schema payload and Gst-nvmsgbroker establishes the connection to the cloud and sends the telemetry data. In this documentation, we will go through Host Kafka server, producing events to Kafka Cluster from AGX Xavier during DeepStream runtime, and The size of the video cache can be configured per use case. How does secondary GIE crop and resize objects? Why is that? Uncategorized. For example, the record starts when theres an object being detected in the visual field. Smart Video Record DeepStream 6.1.1 Release documentation, DeepStream Reference Application - deepstream-app DeepStream 6.1.1 Release documentation. To get started with Python, see the Python Sample Apps and Bindings Source Details in this guide and DeepStream Python in the DeepStream Python API Guide. What if I dont set video cache size for smart record? This recording happens in parallel to the inference pipeline running over the feed. During container builder installing graphs, sometimes there are unexpected errors happening while downloading manifests or extensions from registry. For developers looking to build their custom application, the deepstream-app can be a bit overwhelming to start development. Issue Type( questions). For unique names every source must be provided with a unique prefix. 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. Are multiple parallel records on same source supported? The performance benchmark is also run using this application. And once it happens, container builder may return errors again and again. See the deepstream_source_bin.c for more details on using this module. The params structure must be filled with initialization parameters required to create the instance.