How can I know which extensions synchronized to registry cache correspond to a specific repository? Powered by Discourse, best viewed with JavaScript enabled. The size of the video cache can be configured per use case. Add this bin after the audio/video parser element in the pipeline. What is the GPU requirement for running the Composer? Does Gst-nvinferserver support Triton multiple instance groups? What if I dont set default duration for smart record? This parameter will ensure the recording is stopped after a predefined default duration. This parameter will ensure the recording is stopped after a predefined default duration. How to tune GPU memory for Tensorflow models? This is the time interval in seconds for SR start / stop events generation. In case duration is set to zero, recording will be stopped after defaultDuration seconds set in NvDsSRCreate(). Why do I see tracker_confidence value as -0.1.? Why is that? Observing video and/or audio stutter (low framerate), 2. How can I determine whether X11 is running? This recording happens in parallel to the inference pipeline running over the feed. 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. Here, start time of recording is the number of seconds earlier to the current time to start the recording. Why is that? What types of input streams does DeepStream 6.0 support? Why is a Gst-nvegltransform plugin required on a Jetson platform upstream from Gst-nveglglessink? However, when configuring smart-record for multiple sources the duration of the videos are no longer consistent (different duration for each video). Can I stop it before that duration ends? How does secondary GIE crop and resize objects? 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) What are the sample pipelines for nvstreamdemux? recordbin of NvDsSRContext is smart record bin which must be added to the pipeline. What is batch-size differences for a single model in different config files (. How to tune GPU memory for Tensorflow models? Here startTime specifies the seconds before the current time and duration specifies the seconds after the start of recording. 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? In the main control section, why is the field container_builder required? The core SDK consists of several hardware accelerator plugins that use accelerators such as VIC, GPU, DLA, NVDEC and NVENC. , awarded WBR. 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. The plugin for decode is called Gst-nvvideo4linux2. . Why do I see the below Error while processing H265 RTSP stream? How can I determine whether X11 is running? 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. How to find out the maximum number of streams supported on given platform? Only the data feed with events of importance is recorded instead of always saving the whole feed. Does DeepStream Support 10 Bit Video streams? Why is the Gst-nvstreammux plugin required in DeepStream 4.0+? This means, the recording cannot be started until we have an Iframe. The data types are all in native C and require a shim layer through PyBindings or NumPy to access them from the Python app. On Jetson platform, I observe lower FPS output when screen goes idle. And once it happens, container builder may return errors again and again. Batching is done using the Gst-nvstreammux plugin. A callback function can be setup to get the information of recorded audio/video once recording stops. Does Gst-nvinferserver support Triton multiple instance groups? Whats the throughput of H.264 and H.265 decode on dGPU (Tesla)? Does smart record module work with local video streams? What is maximum duration of data I can cache as history for smart record? What is the recipe for creating my own Docker image? Configure Kafka server (kafka_2.13-2.8.0/config/server.properties): To host Kafka server, we open first terminal: Open a third terminal, and create a topic (You may think of a topic as a YouTube Channel which others people can subscribe to): You might check topic list of a Kafka server: Now, Kafka server is ready for AGX Xavier to produce events. The deepstream-test2 progresses from test1 and cascades secondary network to the primary network. Duration of recording. DeepStream applications can be created without coding using the Graph Composer. The registry failed to perform an operation and reported an error message. What if I dont set default duration for smart record? 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? Any data that is needed during callback function can be passed as userData. Recording also can be triggered by JSON messages received from the cloud. What are the recommended values for. All the individual blocks are various plugins that are used. It's free to sign up and bid on jobs. How can I verify that CUDA was installed correctly? Duration of recording. If you dont have any RTSP cameras, you may pull DeepStream demo container . Learn More. 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. Sample Helm chart to deploy DeepStream application is available on NGC. Regarding git source code compiling in compile_stage, Is it possible to compile source from HTTP archives? Why do I encounter such error while running Deepstream pipeline memory type configured and i/p buffer mismatch ip_surf 0 muxer 3? To get started, developers can use the provided reference applications. In smart record, encoded frames are cached to save on CPU memory. Why do I see the below Error while processing H265 RTSP stream? . smart-rec-interval=
What should I do if I want to set a self event to control the record? What if I dont set video cache size for smart record? Below diagram shows the smart record architecture: From DeepStream 6.0, Smart Record also supports audio. . Therefore, a total of startTime + duration seconds of data will be recorded. 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. See NVIDIA-AI-IOT Github page for some sample DeepStream reference apps. Please see the Graph Composer Introduction for details. What are the sample pipelines for nvstreamdemux? 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. What are the recommended values for. Why does the deepstream-nvof-test application show the error message Device Does NOT support Optical Flow Functionality ? For the output, users can select between rendering on screen, saving the output file, or streaming the video out over RTSP. Gst-nvdewarper plugin can dewarp the image from a fisheye or 360 degree camera. The size of the video cache can be configured per use case. Do I need to add a callback function or something else? Last updated on Oct 27, 2021. Smart video record is used for event (local or cloud) based recording of original data feed. Gst-nvmsgconv converts the metadata into schema payload and Gst-nvmsgbroker establishes the connection to the cloud and sends the telemetry data. The end-to-end application is called deepstream-app. What is the approximate memory utilization for 1080p streams on dGPU? Yes, on both accounts. '/usr/lib/aarch64-linux-gnu/gstreamer-1.0/libgstlibav.so': # Configure this group to enable cloud message consumer. Smart Video Record DeepStream 6.1.1 Release documentation, DeepStream Reference Application - deepstream-app DeepStream 6.1.1 Release documentation. deepstream-testsr is to show the usage of smart recording interfaces. Container Contents Do I need to add a callback function or something else? Whats the throughput of H.264 and H.265 decode on dGPU (Tesla)? For unique names every source must be provided with a unique prefix. In the list of local_copy_files, if src is a folder, Any difference for dst ends with / or not? It expects encoded frames which will be muxed and saved to the file. What trackers are included in DeepStream and which one should I choose for my application? userData received in that callback is the one which is passed during NvDsSRStart(). 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=
Why I cannot run WebSocket Streaming with Composer? The following minimum json message from the server is expected to trigger the Start/Stop of smart record. The params structure must be filled with initialization parameters required to create the instance. DeepStream provides building blocks in the form of GStreamer plugins that can be used to construct an efficient video analytic pipeline. What is the difference between batch-size of nvstreammux and nvinfer? AGX Xavier consuming events from Kafka Cluster to trigger SVR. Thanks for ur reply! This is the time interval in seconds for SR start / stop events generation. # Configure this group to enable cloud message consumer. If you set smart-record=2, this will enable smart record through cloud messages as well as local events with default configurations. 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. DeepStream applications can be orchestrated on the edge using Kubernetes on GPU. By default, the current directory is used. How does secondary GIE crop and resize objects? 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. Can Gst-nvinferserver support models across processes or containers? Revision 6f7835e1. How can I verify that CUDA was installed correctly? How can I display graphical output remotely over VNC? When running live camera streams even for few or single stream, also output looks jittery? Does smart record module work with local video streams? Therefore, a total of startTime + duration seconds of data will be recorded. By performing all the compute heavy operations in a dedicated accelerator, DeepStream can achieve highest performance for video analytic applications. Using records Records are requested using client.record.getRecord (name). The params structure must be filled with initialization parameters required to create the instance. Native TensorRT inference is performed using Gst-nvinfer plugin and inference using Triton is done using Gst-nvinferserver plugin. My DeepStream performance is lower than expected. What types of input streams does DeepStream 6.2 support? In case a Stop event is not generated. In this documentation, we will go through, producing events to Kafka Cluster from AGX Xavier during DeepStream runtime, and. Custom broker adapters can be created. Why am I getting following waring when running deepstream app for first time? Creating records # Use this option if message has sensor name as id instead of index (0,1,2 etc.). Edge AI device (AGX Xavier) is used for this demonstration. The graph below shows a typical video analytic application starting from input video to outputting insights. Surely it can. What is the approximate memory utilization for 1080p streams on dGPU? Copyright 2020-2021, NVIDIA. On Jetson platform, I get same output when multiple Jpeg images are fed to nvv4l2decoder using multifilesrc plugin. The message format is as follows: Receiving and processing such messages from the cloud is demonstrated in the deepstream-test5 sample application. There is an option to configure a tracker. How can I check GPU and memory utilization on a dGPU system? 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 approximate memory utilization for 1080p streams on dGPU? To start with, lets prepare a RTSP stream using DeepStream. Where can I find the DeepStream sample applications? How to find the performance bottleneck in DeepStream? smart-rec-cache= This module provides the following APIs. Abstract This work presents SafeFac, an intelligent camera-based system for managing the safety of factory environments. What are different Memory transformations supported on Jetson and dGPU? How to find out the maximum number of streams supported on given platform? See the C/C++ Sample Apps Source Details and Python Sample Apps and Bindings Source Details sections to learn more about the available apps. 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. Why does the RTSP source used in gst-launch pipeline through uridecodebin show blank screen followed by the error -. How to use the OSS version of the TensorRT plugins in DeepStream? How can I run the DeepStream sample application in debug mode? Smart-rec-container=<0/1>
deepstream smart record. Call NvDsSRDestroy() to free resources allocated by this function. This function creates the instance of smart record and returns the pointer to an allocated NvDsSRContext. The performance benchmark is also run using this application. Lets go back to AGX Xavier for next step. A video cache is maintained so that recorded video has frames both before and after the event is generated. The following minimum json message from the server is expected to trigger the Start/Stop of smart record. The property bufapi-version is missing from nvv4l2decoder, what to do? The next step is to batch the frames for optimal inference performance. 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. What are different Memory types supported on Jetson and dGPU? In existing deepstream-test5-app only RTSP sources are enabled for smart record. DeepStream is a streaming analytic toolkit to build AI-powered applications. In the deepstream-test5-app, to demonstrate the use case smart record Start / Stop events are generated every interval second. smart-rec-video-cache=
Python Sample Apps and Bindings Source Details, DeepStream Reference Application - deepstream-app, Install librdkafka (to enable Kafka protocol adaptor for message broker), Run deepstream-app (the reference application), Remove all previous DeepStream installations, Install CUDA Toolkit 11.4.1 (CUDA 11.4 Update 1), Run the deepstream-app (the reference application), dGPU Setup for RedHat Enterprise Linux (RHEL), Install CUDA Toolkit 11.4 (CUDA 11.4 Update 1), DeepStream Triton Inference Server Usage Guidelines, Creating custom DeepStream docker for dGPU using DeepStreamSDK package, Creating custom DeepStream docker for Jetson using DeepStreamSDK package, Python Bindings and Application Development, 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, DeepStream Audio Reference Application Architecture and Sample Graphs, 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, 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), DeepStream 3D Action Recognition App Configuration Specifications, Custom sequence preprocess lib user settings, Build Custom sequence preprocess lib and application From Source, Application Migration to DeepStream 6.0 from DeepStream 5.X, Major Application Differences with DeepStream 5.X, Running DeepStream 5.X compiled Apps in DeepStream 6.0, Compiling DeepStream 5.1 Apps in DeepStream 6.0, Low-level Object Tracker Library Migration from DeepStream 5.1 Apps to DeepStream 6.0, 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-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 File Configuration Specifications, Tensor Metadata Output for DownStream Plugins, NvDsTracker API for Low-Level Tracker Library, Unified Tracker Architecture for Composable Multi-Object Tracker, Visualization of Sample Outputs and Correlation Responses, Low-Level Tracker Comparisons and Tradeoffs, How to Implement a Custom Low-Level Tracker Library, NvStreamMux Tuning Solutions for specific usecases, 3.1Video 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, 1. Jetson devices) to follow the demonstration. What are the recommended values for. In case a Stop event is not generated. What is the recipe for creating my own Docker image? These 4 starter applications are available in both native C/C++ as well as in Python. You may also refer to Kafka Quickstart guide to get familiar with Kafka. What are different Memory transformations supported on Jetson and dGPU? For example, the record starts when theres an object being detected in the visual field. They are atomic bits of JSON data that can be manipulated and observed. I started the record with a set duration. During container builder installing graphs, sometimes there are unexpected errors happening while downloading manifests or extensions from registry. 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 is the difference between batch-size of nvstreammux and nvinfer? 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. The first frame in the cache may not be an Iframe, so, some frames from the cache are dropped to fulfil this condition. Once frames are batched, it is sent for inference. It will not conflict to any other functions in your application. A callback function can be setup to get the information of recorded video once recording stops. Why does my image look distorted if I wrap my cudaMalloced memory into NvBufSurface and provide to NvBufSurfTransform? 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= 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. How to enable TensorRT optimization for Tensorflow and ONNX models? How can I change the location of the registry logs? 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. This function releases the resources previously allocated by NvDsSRCreate(). smart-rec-file-prefix= Are multiple parallel records on same source supported? This function creates the instance of smart record and returns the pointer to an allocated NvDsSRContext. What is maximum duration of data I can cache as history for smart record? It comes pre-built with an inference plugin to do object detection cascaded by inference plugins to do image classification. Why is that? #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 record. What are different Memory types supported on Jetson and dGPU? Prefix of file name for generated video. smart-rec-duration=
What are different Memory types supported on Jetson and dGPU? Can I stop it before that duration ends? 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). 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. Python is easy to use and widely adopted by data scientists and deep learning experts when creating AI models. Latency Measurement API Usage guide for audio, 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 Library YAML File Configuration Specifications, DS-Riva TTS Yaml File Configuration Specifications, Gst-nvdspostprocess File Configuration Specifications, Gst-nvds3dfilter properties Specifications, 3. GstBin which is the recordbin of NvDsSRContext must be added to the pipeline. 1. How can I display graphical output remotely over VNC? World-class customer support and in-house procurement experts. What is the official DeepStream Docker image and where do I get it? Why cant I paste a component after copied one? What if I dont set default duration for smart record? Also included are the source code for these applications. These plugins use GPU or VIC (vision image compositor). How do I configure the pipeline to get NTP timestamps? Why do I observe a lot of buffers being dropped When running deepstream-nvdsanalytics-test application on Jetson Nano ? In SafeFac a set of cameras installed on the assembly line are used to captu. Here, start time of recording is the number of seconds earlier to the current time to start the recording. Changes are persisted and synced across all connected devices in milliseconds. 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?
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