deepstream smart record

TensorRT accelerates the AI inference on NVIDIA GPU. Records are created and retrieved using client.record.getRecord ('name') To learn more about how they are used, have a look at the Record Tutorial. Yes, on both accounts. This parameter will increase the overall memory usages of the application. Recording also can be triggered by JSON messages received from the cloud. This is currently supported for Kafka. . Whats the throughput of H.264 and H.265 decode on dGPU (Tesla)? You may also refer to Kafka Quickstart guide to get familiar with Kafka. 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. In case duration is set to zero, recording will be stopped after defaultDuration seconds set in NvDsSRCreate(). Why is that? June 29, 2022; medical bills on credit report hipaa violation letter; masajes con aceite de oliva para el cabello . Tensor data is the raw tensor output that comes out after inference. What are the recommended values for. Last updated on Sep 10, 2021. A video cache is maintained so that recorded video has frames both before and after the event is generated. How can I construct the DeepStream GStreamer pipeline? The message format is as follows: Receiving and processing such messages from the cloud is demonstrated in the deepstream-test5 sample application. The core SDK consists of several hardware accelerator plugins that use accelerators such as VIC, GPU, DLA, NVDEC and NVENC. 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? Unable to start the composer in deepstream development docker. What is the recipe for creating my own Docker image? # Configure this group to enable cloud message consumer. 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. This causes the duration of the generated video to be less than the value specified. In this documentation, we will go through, producing events to Kafka Cluster from AGX Xavier during DeepStream runtime, and. 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. The containers are available on NGC, NVIDIA GPU cloud registry. On Jetson platform, I get same output when multiple Jpeg images are fed to nvv4l2decoder using multifilesrc plugin. DeepStream Reference Application - deepstream-app DeepStream 6.1.1 Release documentation. The size of the video cache can be configured per use case. There are two ways in which smart record events can be generated either through local events or through cloud messages. What are different Memory types supported on Jetson and dGPU? When to start smart recording and when to stop smart recording depend on your design. How can I verify that CUDA was installed correctly? GstBin which is the recordbin of NvDsSRContext must be added to the pipeline. How does secondary GIE crop and resize objects? DeepStream is only a SDK which provide HW accelerated APIs for video inferencing, video decoding, video processing, etc. In SafeFac a set of cameras installed on the assembly line are used to captu. To enable audio, a GStreamer element producing encoded audio bitstream must be linked to the asink pad of the smart record bin. My DeepStream performance is lower than expected. Why does the RTSP source used in gst-launch pipeline through uridecodebin show blank screen followed by the error -. Why do I observe a lot of buffers being dropped when running deepstream-nvdsanalytics-test application on Jetson Nano ? DeepStream is a streaming analytic toolkit to build AI-powered applications. How can I determine the reason? Call NvDsSRDestroy() to free resources allocated by this function. To learn more about deployment with dockers, see the Docker container chapter. What is maximum duration of data I can cache as history for smart record? What types of input streams does DeepStream 6.0 support? For the output, users can select between rendering on screen, saving the output file, or streaming the video out over RTSP. 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 . Call NvDsSRDestroy() to free resources allocated by this function. If current time is t1, content from t1 - startTime to t1 + duration will be saved to file. Does smart record module work with local video streams? 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? Only the data feed with events of importance is recorded instead of always saving the whole feed. Does DeepStream Support 10 Bit Video streams? See the deepstream_source_bin.c for more details on using this module. How to tune GPU memory for Tensorflow models? The next step is to batch the frames for optimal inference performance. Why is that? 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? How can I get more information on why the operation failed? DeepStream 5.1 Nothing to do. 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. In existing deepstream-test5-app only RTSP sources are enabled for smart record. Read more about DeepStream here. What is the difference between DeepStream classification and Triton classification? Can I stop it before that duration ends? Why do I see tracker_confidence value as -0.1.? Therefore, a total of startTime + duration seconds of data will be recorded. How to tune GPU memory for Tensorflow models? MP4 and MKV containers are supported. Add this bin after the parser element in the pipeline. You can design your own application functions. Below diagram shows the smart record architecture: This module provides the following APIs. DeepStream provides building blocks in the form of GStreamer plugins that can be used to construct an efficient video analytic pipeline. # Use this option if message has sensor name as id instead of index (0,1,2 etc.). Any data that is needed during callback function can be passed as userData. One of the key capabilities of DeepStream is secure bi-directional communication between edge and cloud. tensorflow python framework errors impl notfounderror no cpu devices are available in this process 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. Container Contents DeepStream is an optimized graph architecture built using the open source GStreamer framework. How do I obtain individual sources after batched inferencing/processing? Why does my image look distorted if I wrap my cudaMalloced memory into NvBufSurface and provide to NvBufSurfTransform? deepstream smart record. Any change to a record is instantly synced across all connected clients. Why cant I paste a component after copied one? What is maximum duration of data I can cache as history for smart record? Observing video and/or audio stutter (low framerate), 2. 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. The registry failed to perform an operation and reported an error message. Where can I find the DeepStream sample applications? For deployment at scale, you can build cloud-native, DeepStream applications using containers and orchestrate it all with Kubernetes platforms. If you set smart-record=2, this will enable smart record through cloud messages as well as local events with default configurations. There are two ways in which smart record events can be generated - either through local events or through cloud messages. When to start smart recording and when to stop smart recording depend on your design. How can I construct the DeepStream GStreamer pipeline? Does smart record module work with local video streams? Please help to open a new topic if still an issue to support. I started the record with a set duration. 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. How do I configure the pipeline to get NTP timestamps? How can I display graphical output remotely over VNC? I started the record with a set duration. The params structure must be filled with initialization parameters required to create the instance. Video and Audio muxing; file sources of different fps, 3.2 Video and Audio muxing; RTMP/RTSP sources, 4.1 GstAggregator plugin -> filesink does not write data into the file, 4.2 nvstreammux WARNING Lot of buffers are being dropped, 5. In case a Stop event is not generated. How to set camera calibration parameters in Dewarper plugin config file? It comes pre-built with an inference plugin to do object detection cascaded by inference plugins to do image classification. Can Gst-nvinfereserver (DeepSream Triton plugin) run on Nano platform? Copyright 2020-2021, NVIDIA. How to measure pipeline latency if pipeline contains open source components. 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= Do I need to add a callback function or something else? How to find out the maximum number of streams supported on given platform? This paper presents DeepStream, a novel data stream temporal clustering algorithm that dynamically detects sequential and overlapping clusters. Does DeepStream Support 10 Bit Video streams? Can Jetson platform support the same features as dGPU for Triton plugin? The core function of DSL is to provide a simple and intuitive API for building, playing, and dynamically modifying NVIDIA DeepStream Pipelines. For example, the record starts when theres an object being detected in the visual field. If you set smart-record=2, this will enable smart record through cloud messages as well as local events with default configurations. How can I determine the reason? This is currently supported for Kafka. Once the frames are in the memory, they are sent for decoding using the NVDEC accelerator. Can Gst-nvinferserver support models cross processes or containers? Before SVR is being triggered, configure [source0 ] and [message-consumer0] groups in DeepStream config (test5_dec_infer-resnet_tracker_sgie_tiled_display_int8.txt): Once the app config file is ready, run DeepStream: Finally, you are able to see recorded videos in your [smart-rec-dir-path] under [source0] group of the app config file. Edge AI device (AGX Xavier) is used for this demonstration. The following minimum json message from the server is expected to trigger the Start/Stop of smart record. How can I display graphical output remotely over VNC? 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. However, when configuring smart-record for multiple sources the duration of the videos are no longer consistent (different duration for each video). 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. deepstream.io Record Records are one of deepstream's core features. Why am I getting following waring when running deepstream app for first time? How to use the OSS version of the TensorRT plugins in DeepStream? The graph below shows a typical video analytic application starting from input video to outputting insights. This module provides the following APIs. Do I need to add a callback function or something else? To make it easier to get started, DeepStream ships with several reference applications in both in C/C++ and in Python. Why do some caffemodels fail to build after upgrading to DeepStream 6.0? 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. See NVIDIA-AI-IOT Github page for some sample DeepStream reference apps. When expanded it provides a list of search options that will switch the search inputs to match the current selection. World-class customer support and in-house procurement experts. #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. To start with, lets prepare a RTSP stream using DeepStream. It's free to sign up and bid on jobs. This function creates the instance of smart record and returns the pointer to an allocated NvDsSRContext. Copyright 2021, Season. Why does my image look distorted if I wrap my cudaMalloced memory into NvBufSurface and provide to NvBufSurfTransform? See the deepstream_source_bin.c for more details on using this module. Path of directory to save the recorded file. 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. My component is getting registered as an abstract type. For unique names every source must be provided with a unique prefix. Here startTime specifies the seconds before the current time and duration specifies the seconds after the start of recording. 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. Revision 6f7835e1. How to fix cannot allocate memory in static TLS block error? The pre-processing can be image dewarping or color space conversion. Once frames are batched, it is sent for inference. With DeepStream you can trial our platform for free for 14-days, no commitment required. Powered by Discourse, best viewed with JavaScript enabled. What is the official DeepStream Docker image and where do I get it? Details are available in the Readme First section of this document. See the gst-nvdssr.h header file for more details. This function releases the resources previously allocated by NvDsSRCreate(). 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. The deepstream-test2 progresses from test1 and cascades secondary network to the primary network. userData received in that callback is the one which is passed during NvDsSRStart(). Optimum memory management with zero-memory copy between plugins and the use of various accelerators ensure the highest performance. For example, the record starts when theres an object being detected in the visual field. The size of the video cache can be configured per use case. That means smart record Start/Stop events are generated every 10 seconds through local events. Can users set different model repos when running multiple Triton models in single process? 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 -. Therefore, a total of startTime + duration seconds of data will be recorded. Developers can start with deepstream-test1 which is almost like a DeepStream hello world. How to handle operations not supported by Triton Inference Server? NVIDIA introduced Python bindings to help you build high-performance AI applications using Python. The plugin for decode is called Gst-nvvideo4linux2. Changes are persisted and synced across all connected devices in milliseconds. By performing all the compute heavy operations in a dedicated accelerator, DeepStream can achieve highest performance for video analytic applications. Issue Type( questions). How can I determine the reason? How do I configure the pipeline to get NTP timestamps? How can I change the location of the registry logs? There are two ways in which smart record events can be generated either through local events or through cloud messages. Optimizing nvstreammux config for low-latency vs Compute, 6. DeepStream applications can be orchestrated on the edge using Kubernetes on GPU. The params structure must be filled with initialization parameters required to create the instance. 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? 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. Running without an X server (applicable for applications supporting RTSP streaming output), DeepStream Triton Inference Server Usage Guidelines, Creating custom DeepStream docker for dGPU using DeepStreamSDK package, Creating custom DeepStream docker for Jetson using DeepStreamSDK package, Recommended Minimal L4T Setup necessary to run the new docker images on Jetson, Python Sample Apps and Bindings Source Details, Python Bindings and Application Development, 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, Sensor Provisioning Support over REST API (Runtime sensor add/remove capability), DeepStream Reference Application - deepstream-audio app, DeepStream Audio Reference Application Architecture and Sample Graphs, DeepStream Reference Application - deepstream-nmos app, Using Easy-NMOS for NMOS Registry and Controller, 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, Components Common Configuration Specifications, libnvds_3d_dataloader_realsense Configuration Specifications, libnvds_3d_depth2point_datafilter Configuration Specifications, libnvds_3d_gl_datarender Configuration Specifications, libnvds_3d_depth_datasource Depth file source Specific Configuration Specifications, 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), Sensor provisioning with deepstream-test5-app, Callback implementation for REST API endpoints, DeepStream 3D Action Recognition App Configuration Specifications, Custom sequence preprocess lib user settings, Build Custom sequence preprocess lib and application From Source, Depth Color Capture to 2D Rendering Pipeline Overview, Depth Color Capture to 3D Point Cloud Processing and Rendering, Run RealSense Camera for Depth Capture and 2D Rendering Examples, Run 3D Depth Capture, Point Cloud filter, and 3D Points Rendering Examples, DeepStream 3D Depth Camera App Configuration Specifications, DS3D Custom Components Configuration Specifications, Lidar Point Cloud to 3D Point Cloud Processing and Rendering, Run Lidar Point Cloud Data File reader, Point Cloud Inferencing filter, and Point Cloud 3D rendering and data dump Examples, DeepStream Lidar Inference App Configuration Specifications, Networked Media Open Specifications (NMOS) in DeepStream, DeepStream Can Orientation App Configuration Specifications, Application Migration to DeepStream 6.2 from DeepStream 6.1, Running DeepStream 6.1 compiled Apps in DeepStream 6.2, Compiling DeepStream 6.1 Apps in DeepStream 6.2, 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 Configuration File Specifications, Tensor Metadata Output for Downstream Plugins, NvDsTracker API for Low-Level Tracker Library, Unified Tracker Architecture for Composable Multi-Object Tracker, Low-Level Tracker Comparisons and Tradeoffs, Setup and Visualization of Tracker Sample Pipelines, How to Implement a Custom Low-Level Tracker Library, NvStreamMux Tuning Solutions for specific use cases, 3.1. Why is a Gst-nvegltransform plugin required on a Jetson platform upstream from Gst-nveglglessink? Gst-nvvideoconvert plugin can perform color format conversion on the frame. To get started, developers can use the provided reference applications. When running live camera streams even for few or single stream, also output looks jittery? If current time is t1, content from t1 - startTime to t1 + duration will be saved to file. Gst-nvdewarper plugin can dewarp the image from a fisheye or 360 degree camera. Size of cache in seconds. How can I interpret frames per second (FPS) display information on console? Using records Records are requested using client.record.getRecord (name). In existing deepstream-test5-app only RTSP sources are enabled for smart record. In the deepstream-test5-app, to demonstrate the use case smart record Start / Stop events are generated every interval second. smart-rec-interval= It expects encoded frames which will be muxed and saved to the file. When executing a graph, the execution ends immediately with the warning No system specified. 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. 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. Only the data feed with events of importance is recorded instead of always saving the whole feed. What is batch-size differences for a single model in different config files (. Why do I see the below Error while processing H265 RTSP stream? What is the official DeepStream Docker image and where do I get it? This causes the duration of the generated video to be less than the value specified. Why do I see the below Error while processing H265 RTSP stream? How can I determine whether X11 is running? What are the sample pipelines for nvstreamdemux? What is the difference between batch-size of nvstreammux and nvinfer?

Barnes And Noble Magazines For Inmates, Northwell Health Accounts Payable New Hyde Park, Ny, Stanhope Crop Hairstyle, Blue Ridge Now Obituaries, Piper Rockelle And Lev Cameron Age, Articles D