Smart Video Record DeepStream 6.1.1 Release documentation, DeepStream Reference Application - deepstream-app DeepStream 6.1.1 Release documentation. # Configure this group to enable cloud message consumer. 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=
How can I check GPU and memory utilization on a dGPU system? How can I determine the reason? When expanded it provides a list of search options that will switch the search inputs to match the current selection. deepstream smart record. How can I display graphical output remotely over VNC? do you need to pass different session ids when recording from different sources? By default, Smart_Record is the prefix in case this field is not set. Add this bin after the audio/video parser element in the pipeline. 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. 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) In case duration is set to zero, recording will be stopped after defaultDuration seconds set in NvDsSRCreate(). This causes the duration of the generated video to be less than the value specified. smart-rec-duration=
In existing deepstream-test5-app only RTSP sources are enabled for smart record. # seconds before the current time to start recording. Why is that? The first frame in the cache may not be an Iframe, so, some frames from the cache are dropped to fulfil this condition. To enable smart record in deepstream-test5-app set the following under [sourceX] group: smart-record=<1/2> Do I need to add a callback function or something else? 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? 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. How to handle operations not supported by Triton Inference Server? Currently, there is no support for overlapping smart record. In the main control section, why is the field container_builder required? How to get camera calibration parameters for usage in Dewarper plugin? Path of directory to save the recorded file. This function creates the instance of smart record and returns the pointer to an allocated NvDsSRContext. Records are the main building blocks of deepstream's data-sync capabilities. The end-to-end application is called deepstream-app. How does secondary GIE crop and resize objects? Nothing to do. It expects encoded frames which will be muxed and saved to the file. There are two ways in which smart record events can be generated - either through local events or through cloud messages. What should I do if I want to set a self event to control the record? The size of the video cache can be configured per use case. What is the difference between DeepStream classification and Triton classification? Hardware Platform (Jetson / CPU) There are several built-in broker protocols such as Kafka, MQTT, AMQP and Azure IoT. For sending metadata to the cloud, DeepStream uses Gst-nvmsgconv and Gst-nvmsgbroker plugin. smart-rec-start-time=
1 Like a7med.hish October 4, 2021, 12:18pm #7 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. That means smart record Start/Stop events are generated every 10 seconds through local events. Why is that? Here, start time of recording is the number of seconds earlier to the current time to start the recording. Revision 6f7835e1. Only the data feed with events of importance is recorded instead of always saving the whole feed. The graph below shows a typical video analytic application starting from input video to outputting insights. smart-rec-dir-path=
Changes are persisted and synced across all connected devices in milliseconds. It will not conflict to any other functions in your application. 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. World-class customer support and in-house procurement experts. 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? . This parameter will ensure the recording is stopped after a predefined default duration. Copyright 2023, NVIDIA. Why do I encounter such error while running Deepstream pipeline memory type configured and i/p buffer mismatch ip_surf 0 muxer 3? 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 -. All the individual blocks are various plugins that are used. Why am I getting following waring when running deepstream app for first time? How can I run the DeepStream sample application in debug mode? The message format is as follows: Receiving and processing such messages from the cloud is demonstrated in the deepstream-test5 sample application. 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. There are deepstream-app sample codes to show how to implement smart recording with multiple streams. because when I try deepstream-app with smart-recording configured for 1 source, the behaviour is perfect. What is the difference between DeepStream classification and Triton classification? My DeepStream performance is lower than expected. There are two ways in which smart record events can be generated - either through local events or through cloud messages. Why do I observe: A lot of buffers are being dropped. They will take video from a file, decode, batch and then do object detection and then finally render the boxes on the screen. DeepStream 5.1 smart-rec-interval=
In case duration is set to zero, recording will be stopped after defaultDuration seconds set in NvDsSRCreate(). Why is the Gst-nvstreammux plugin required in DeepStream 4.0+? 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? This parameter will ensure the recording is stopped after a predefined default duration. When to start smart recording and when to stop smart recording depend on your design. Why do I observe a lot of buffers being dropped When running deepstream-nvdsanalytics-test application on Jetson Nano ? Can I record the video with bounding boxes and other information overlaid? Therefore, a total of startTime + duration seconds of data will be recorded. This is the time interval in seconds for SR start / stop events generation. If current time is t1, content from t1 - startTime to t1 + duration will be saved to file. 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. 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 data types are all in native C and require a shim layer through PyBindings or NumPy to access them from the Python app. How do I configure the pipeline to get NTP timestamps? How does secondary GIE crop and resize objects? Can Gst-nvinferserver support inference on multiple GPUs? How to measure pipeline latency if pipeline contains open source components. Can I stop it before that duration ends? Adding a callback is a possible way. What is the recipe for creating my own Docker image? [When user expect to not use a Display window], My component is not visible in the composer even after registering the extension with registry. 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? On Jetson platform, I get same output when multiple Jpeg images are fed to nvv4l2decoder using multifilesrc plugin. 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? There is an option to configure a tracker. These 4 starter applications are available in both native C/C++ as well as in Python. 1. DeepStream builds on top of several NVIDIA libraries from the CUDA-X stack such as CUDA, TensorRT, NVIDIA Triton Inference server and multimedia libraries. By default, Smart_Record is the prefix in case this field is not set. What are the recommended values for. What is the GPU requirement for running the Composer? Bei Erweiterung erscheint eine Liste mit Suchoptionen, die die Sucheingaben so ndern, dass sie zur aktuellen Auswahl passen. 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. Whats the throughput of H.264 and H.265 decode on dGPU (Tesla)? Can Gst-nvinferserver support models cross processes or containers? 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. If you set smart-record=2, this will enable smart record through cloud messages as well as local events with default configurations. GstBin which is the recordbin of NvDsSRContext must be added to the pipeline. I'll be adding new github Issues for both items, but will leave this issue open until then. The pre-processing can be image dewarping or color space conversion. When running live camera streams even for few or single stream, also output looks jittery? How can I check GPU and memory utilization on a dGPU system? The params structure must be filled with initialization parameters required to create the instance. For unique names every source must be provided with a unique prefix. This module provides the following APIs. This recording happens in parallel to the inference pipeline running over the feed. It comes pre-built with an inference plugin to do object detection cascaded by inference plugins to do image classification. It will not conflict to any other functions in your application. What is the difference between batch-size of nvstreammux and nvinfer? Learn More. To start with, lets prepare a RTSP stream using DeepStream. It's free to sign up and bid on jobs. It returns the session id which later can be used in NvDsSRStop() to stop the corresponding recording. How can I run the DeepStream sample application in debug mode? Optimum memory management with zero-memory copy between plugins and the use of various accelerators ensure the highest performance. How can I determine whether X11 is running? A video cache is maintained so that recorded video has frames both before and after the event is generated. What is the official DeepStream Docker image and where do I get it? Can Jetson platform support the same features as dGPU for Triton plugin? Thanks for ur reply! Why do I observe a lot of buffers being dropped when running deepstream-nvdsanalytics-test application on Jetson Nano ? Why do I see the below Error while processing H265 RTSP stream? What are the sample pipelines for nvstreamdemux? The deepstream-test2 progresses from test1 and cascades secondary network to the primary network. One of the key capabilities of DeepStream is secure bi-directional communication between edge and cloud. How do I obtain individual sources after batched inferencing/processing? Why am I getting following warning when running deepstream app for first time? I started the record with a set duration. That means smart record Start/Stop events are generated every 10 seconds through local events. Gst-nvdewarper plugin can dewarp the image from a fisheye or 360 degree camera. Configure [source0] and [sink1] groups of DeepStream app config configs/test5_dec_infer-resnet_tracker_sgie_tiled_display_int8.txt so that DeepStream is able to use RTSP source from step 1 and render events to your Kafka server: At this stage, our DeepStream application is ready to run and produce events containing bounding box coordinates to Kafka server: To consume the events, we write consumer.py. What if I dont set video cache size for smart record? Can Gst-nvinfereserver (DeepSream Triton plugin) run on Nano platform? How can I interpret frames per second (FPS) display information on console? What is batch-size differences for a single model in different config files (. Why does the deepstream-nvof-test application show the error message Device Does NOT support Optical Flow Functionality ? London, awarded World book of records After inference, the next step could involve tracking the object. How to tune GPU memory for Tensorflow models? # Use this option if message has sensor name as id instead of index (0,1,2 etc.). This app is fully configurable - it allows users to configure any type and number of sources. Typeerror hoverintent uncaught typeerror object object method jobs I want to Hire I want to Work. Search for jobs related to Freelancer projects vlsi embedded or hire on the world's largest freelancing marketplace with 22m+ jobs. Smart video record is used for event (local or cloud) based recording of original data feed. Based on the event, these cached frames are encapsulated under the chosen container to generate the recorded video. To enable smart record in deepstream-test5-app set the following under [sourceX] group: smart-record=<1/2> What is the recipe for creating my own Docker image? Streaming data can come over the network through RTSP or from a local file system or from a camera directly. Regarding git source code compiling in compile_stage, Is it possible to compile source from HTTP archives? What is the recipe for creating my own Docker image? Running with an X server by creating virtual display, 2 . Prefix of file name for generated video. How can I get more information on why the operation failed? Call NvDsSRDestroy() to free resources allocated by this function. 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). Why am I getting ImportError: No module named google.protobuf.internal when running convert_to_uff.py on Jetson AGX Xavier? Ive configured smart-record=2 as the document said, using local event to start or end video-recording. Does DeepStream Support 10 Bit Video streams? In the deepstream-test5-app, to demonstrate the use case smart record Start / Stop events are generated every interval second. Gst-nvvideoconvert plugin can perform color format conversion on the frame. How can I construct the DeepStream GStreamer pipeline? How to tune GPU memory for Tensorflow models? The size of the video cache can be configured per use case. What if I dont set video cache size for smart record? How do I configure the pipeline to get NTP timestamps? Why does the RTSP source used in gst-launch pipeline through uridecodebin show blank screen followed by the error -. Can Jetson platform support the same features as dGPU for Triton plugin? 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.
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