When to start smart recording and when to stop smart recording depend on your design. Are multiple parallel records on same source supported? What happens if unsupported fields are added into each section of the YAML file? . How does secondary GIE crop and resize objects? How to tune GPU memory for Tensorflow models? 5.1 Adding GstMeta to buffers before nvstreammux. Note that the formatted messages were sent to , lets rewrite our consumer.py to inspect the formatted messages from this topic. DeepStream abstracts these libraries in DeepStream plugins, making it easy for developers to build video analytic pipelines without having to learn all the individual libraries. Only the data feed with events of importance is recorded instead of always saving the whole feed. How can I display graphical output remotely over VNC? Can I stop it before that duration ends? When executing a graph, the execution ends immediately with the warning No system specified. Produce cloud-to-device event messages, 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), Custom Model - Triton Inference Server Configurations, Custom Model - Custom Parser - Yolov2-coco, Custom Model - Custom Parser - Tiny Yolov2, Custom Model - Custom Parser - EfficientDet, Custom Model - Sample Custom Parser - Resnet - Frcnn - Yolov3 - SSD, Custom Model - Sample Custom Parser - SSD, Custom Model - Sample Custom Parser - FasterRCNN, Custom Model - Sample Custom Parser - Yolov4. Sample Helm chart to deploy DeepStream application is available on NGC. My DeepStream performance is lower than expected. DeepStream supports application development in C/C++ and in Python through the Python bindings. Regarding git source code compiling in compile_stage, Is it possible to compile source from HTTP archives? In this documentation, we will go through Host Kafka server, producing events to Kafka Cluster from AGX Xavier during DeepStream runtime, and This recording happens in parallel to the inference pipeline running over the feed. Where can I find the DeepStream sample applications? The following minimum json message from the server is expected to trigger the Start/Stop of smart record. Why do I see the below Error while processing H265 RTSP stream? Copyright 2021, Season. The increasing number of IoT devices in "smart" environments, such as homes, offices, and cities, produce seemingly endless data streams and drive many daily decisions. What is the difference between batch-size of nvstreammux and nvinfer? How can I determine the reason? In the list of local_copy_files, if src is a folder, Any difference for dst ends with / or not? What is maximum duration of data I can cache as history for smart record? Thanks again. Why is that? This causes the duration of the generated video to be less than the value specified. What should I do if I want to set a self event to control the record? What are different Memory types supported on Jetson and dGPU? Why do I see the below Error while processing H265 RTSP stream? This function starts writing the cached audio/video data to a file. deepstream smart record. Records are the main building blocks of deepstream's data-sync capabilities. because recording might be started while the same session is actively recording for another source. smart-rec-file-prefix= This paper presents DeepStream, a novel data stream temporal clustering algorithm that dynamically detects sequential and overlapping clusters. 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. The params structure must be filled with initialization parameters required to create the instance. I'll be adding new github Issues for both items, but will leave this issue open until then. Does Gst-nvinferserver support Triton multiple instance groups? Native TensorRT inference is performed using Gst-nvinfer plugin and inference using Triton is done using Gst-nvinferserver plugin. Can Gst-nvinferserver support inference on multiple GPUs? There are two ways in which smart record events can be generated - either through local events or through cloud messages. This function creates the instance of smart record and returns the pointer to an allocated NvDsSRContext. On AGX Xavier, we first find the deepstream-app-test5 directory and create the sample application: If you are not sure which CUDA_VER you have, check */usr/local/*. How to extend this to work with multiple sources? How can I interpret frames per second (FPS) display information on console? How to find out the maximum number of streams supported on given platform? At the bottom are the different hardware engines that are utilized throughout the application. How to enable TensorRT optimization for Tensorflow and ONNX models? The inference can use the GPU or DLA (Deep Learning accelerator) for Jetson AGX Xavier and Xavier NX. DeepStream ships with several out of the box security protocols such as SASL/Plain authentication using username/password and 2-way TLS authentication. How can I determine the reason? How can I check GPU and memory utilization on a dGPU system? If you dont have any RTSP cameras, you may pull DeepStream demo container . What are the sample pipelines for nvstreamdemux? How can I determine the reason? Powered by Discourse, best viewed with JavaScript enabled. 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. This is the time interval in seconds for SR start / stop events generation. Read more about DeepStream here. DeepStream pipelines can be constructed using Gst-Python, the GStreamer frameworks Python bindings. This means, the recording cannot be started until we have an Iframe. How can I determine whether X11 is running? The first frame in the cache may not be an Iframe, so, some frames from the cache are dropped to fulfil this condition. My component is getting registered as an abstract type. Why do I observe: A lot of buffers are being dropped. The property bufapi-version is missing from nvv4l2decoder, what to do? Custom broker adapters can be created. Edge AI device (AGX Xavier) is used for this demonstration. Ive configured smart-record=2 as the document said, using local event to start or end video-recording. #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 my image look distorted if I wrap my cudaMalloced memory into NvBufSurface and provide to NvBufSurfTransform? The core SDK consists of several hardware accelerator plugins that use accelerators such as VIC, GPU, DLA, NVDEC and NVENC. Add this bin after the audio/video parser element in the pipeline. How does secondary GIE crop and resize objects? Today, Deepstream has become the silent force behind some of the world's largest banks, communication, and entertainment companies. To enable smart record in deepstream-test5-app set the following under [sourceX] group: smart-record=<1/2> DeepStream 5.1 If you set smart-record=2, this will enable smart record through cloud messages as well as local events with default configurations. Call NvDsSRDestroy() to free resources allocated by this function. What are the recommended values for. . To learn more about deployment with dockers, see the Docker container chapter. It uses same caching parameters and implementation as video. This application is covered in greater detail in the DeepStream Reference Application - deepstream-app chapter. Smart video record is used for event (local or cloud) based recording of original data feed. deepstream.io Record Records are one of deepstream's core features. Copyright 2023, NVIDIA. The plugin for decode is called Gst-nvvideo4linux2. What is batch-size differences for a single model in different config files (. DeepStream builds on top of several NVIDIA libraries from the CUDA-X stack such as CUDA, TensorRT, NVIDIA Triton Inference server and multimedia libraries. [When user expect to use Display window], 2. Freelancer Typeerror hoverintent uncaught typeerror object object method jobs I want to Hire I want to Work. DeepStream is only a SDK which provide HW accelerated APIs for video inferencing, video decoding, video processing, etc. In existing deepstream-test5-app only RTSP sources are enabled for smart record. The size of the video cache can be configured per use case. Surely it can. This function stops the previously started recording. Why is that? One of the key capabilities of DeepStream is secure bi-directional communication between edge and cloud. What are the recommended values for. To learn more about bi-directional capabilities, see the Bidirectional Messaging section in this guide. 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 is the recipe for creating my own Docker image? Does DeepStream Support 10 Bit Video streams? This function creates the instance of smart record and returns the pointer to an allocated NvDsSRContext. Can users set different model repos when running multiple Triton models in single process? If current time is t1, content from t1 - startTime to t1 + duration will be saved to file. Object tracking is performed using the Gst-nvtracker plugin. For sending metadata to the cloud, DeepStream uses Gst-nvmsgconv and Gst-nvmsgbroker plugin. How do I obtain individual sources after batched inferencing/processing? By default, the current directory is used. How can I specify RTSP streaming of DeepStream output? do you need to pass different session ids when recording from different sources? When running live camera streams even for few or single stream, also output looks jittery? TensorRT accelerates the AI inference on NVIDIA GPU. How can I verify that CUDA was installed correctly? Both audio and video will be recorded to the same containerized file. How to measure pipeline latency if pipeline contains open source components. Using records Records are requested using client.record.getRecord (name). smart-rec-interval= Sink plugin shall not move asynchronously to PAUSED, 5. smart-rec-interval=
Please make sure you understand how to migrate your DeepStream 5.1 custom models to DeepStream 6.0 before you start. 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=
You may also refer to Kafka Quickstart guide to get familiar with Kafka. How can I determine whether X11 is running? 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 do some caffemodels fail to build after upgrading to DeepStream 6.2? Can I stop it before that duration ends? Thanks for ur reply! By default, the current directory is used. 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. A video cache is maintained so that recorded video has frames both before and after the event is generated. 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. Gst-nvdewarper plugin can dewarp the image from a fisheye or 360 degree camera. Why is that? Unable to start the composer in deepstream development docker. That means smart record Start/Stop events are generated every 10 seconds through local events. How to enable TensorRT optimization for Tensorflow and ONNX models? How to handle operations not supported by Triton Inference Server? 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. Therefore, a total of startTime + duration seconds of data will be recorded. Running with an X server by creating virtual display, 2 . How to fix cannot allocate memory in static TLS block error? From the pallet rack to workstation, #Rexroth's MP1000R mobile robot offers a smart, easy-to-implement material transport solution to help you boost Can Jetson platform support the same features as dGPU for Triton plugin? Why do I observe a lot of buffers being dropped When running deepstream-nvdsanalytics-test application on Jetson Nano ? How can I construct the DeepStream GStreamer pipeline? The source code for this application is available in /opt/nvidia/deepstream/deepstream-6.0/sources/apps/sample_apps/deepstream-app. What are different Memory types supported on Jetson and dGPU? DeepStream is only a SDK which provide HW accelerated APIs for video inferencing, video decoding, video processing, etc. How can I specify RTSP streaming of DeepStream output? . Optimizing nvstreammux config for low-latency vs Compute, 6. This parameter will increase the overall memory usages of the application. Does Gst-nvinferserver support Triton multiple instance groups? DeepStream applications can be created without coding using the Graph Composer. DeepStream provides building blocks in the form of GStreamer plugins that can be used to construct an efficient video analytic pipeline. Any change to a record is instantly synced across all connected clients. A video cache is maintained so that recorded video has frames both before and after the event is generated. This function stops the previously started recording. #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. By default, Smart_Record is the prefix in case this field is not set. because when I try deepstream-app with smart-recording configured for 1 source, the behaviour is perfect. Below diagram shows the smart record architecture: From DeepStream 6.0, Smart Record also supports audio. Can Gst-nvinfereserver (DeepSream Triton plugin) run on Nano platform? What are different Memory types supported on Jetson and dGPU? After decoding, there is an optional image pre-processing step where the input image can be pre-processed before inference. 1 Like a7med.hish October 4, 2021, 12:18pm #7 Observing video and/or audio stutter (low framerate), 2. 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 is the difference between DeepStream classification and Triton classification? What are the sample pipelines for nvstreamdemux? 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) 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. By performing all the compute heavy operations in a dedicated accelerator, DeepStream can achieve highest performance for video analytic applications. How to handle operations not supported by Triton Inference Server? Whats the throughput of H.264 and H.265 decode on dGPU (Tesla)? 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? Last updated on Oct 27, 2021. 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. Copyright 2020-2021, NVIDIA. Are multiple parallel records on same source supported? How to use the OSS version of the TensorRT plugins in DeepStream? Produce device-to-cloud event messages, 5. # 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. This recording happens in parallel to the inference pipeline running over the feed. Where can I find the DeepStream sample applications? 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 does the RTSP source used in gst-launch pipeline through uridecodebin show blank screen followed by the error -. In existing deepstream-test5-app only RTSP sources are enabled for smart record. Refer to this post for more details. During container builder installing graphs, sometimes there are unexpected errors happening while downloading manifests or extensions from registry. Why do I encounter such error while running Deepstream pipeline memory type configured and i/p buffer mismatch ip_surf 0 muxer 3? Does Gst-nvinferserver support Triton multiple instance groups? 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. The params structure must be filled with initialization parameters required to create the instance. How can I change the location of the registry logs? Configure DeepStream application to produce events, 4. 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? Here, start time of recording is the number of seconds earlier to the current time to start the recording. When executing a graph, the execution ends immediately with the warning No system specified. There are two ways in which smart record events can be generated either through local events or through cloud messages. What is batch-size differences for a single model in different config files (, Create Container Image from Graph Composer, Generate an extension for GXF wrapper of GstElement, 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, Set the root folder for searching YAML files during loading, Starts the execution of the graph asynchronously, Waits for the graph to complete execution, Runs all System components and waits for their completion, Get unique identifier of the entity of given component, Get description and list of components in loaded Extension, Get description and list of parameters of Component, nvidia::gxf::DownstreamReceptiveSchedulingTerm, nvidia::gxf::MessageAvailableSchedulingTerm, nvidia::gxf::MultiMessageAvailableSchedulingTerm, nvidia::gxf::ExpiringMessageAvailableSchedulingTerm, nvidia::triton::TritonInferencerInterface, nvidia::triton::TritonRequestReceptiveSchedulingTerm, nvidia::deepstream::NvDs3dDataDepthInfoLogger, nvidia::deepstream::NvDs3dDataColorInfoLogger, nvidia::deepstream::NvDs3dDataPointCloudInfoLogger, nvidia::deepstream::NvDsActionRecognition2D, nvidia::deepstream::NvDsActionRecognition3D, 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, 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.
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