One of the key capabilities of DeepStream is secure bi-directional communication between edge and cloud. 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. I started the record with a set duration. Adding a callback is a possible way. GstBin which is the recordbin of NvDsSRContext must be added to the pipeline. Why do I observe a lot of buffers being dropped When running deepstream-nvdsanalytics-test application on Jetson Nano ? Streaming data can come over the network through RTSP or from a local file system or from a camera directly. When expanded it provides a list of search options that will switch the search inputs to match the current selection. because recording might be started while the same session is actively recording for another source. Any data that is needed during callback function can be passed as userData. Which Triton version is supported in DeepStream 5.1 release? The params structure must be filled with initialization parameters required to create the instance. If current time is t1, content from t1 - startTime to t1 + duration will be saved to file. On Jetson platform, I observe lower FPS output when screen goes idle. Copyright 2023, NVIDIA. How to extend this to work with multiple sources? What are different Memory transformations supported on Jetson and dGPU? Can Jetson platform support the same features as dGPU for Triton plugin? What trackers are included in DeepStream and which one should I choose for my application? To learn more about these security features, read the IoT chapter. Why is that? There are several built-in reference trackers in the SDK, ranging from high performance to high accuracy. Why do I see the below Error while processing H265 RTSP stream? deepstream smart record. Lets go back to AGX Xavier for next step. How can I determine whether X11 is running? By executing this consumer.py when AGX Xavier is producing the events, we now can read the events produced from AGX Xavier: Note that messages we received earlier is device-to-cloud messages produced from AGX Xavier. Hardware Platform (Jetson / CPU) What types of input streams does DeepStream 6.2 support? 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. Each NetFlow record . Size of video cache in seconds. The inference can use the GPU or DLA (Deep Learning accelerator) for Jetson AGX Xavier and Xavier NX. Following are the default values of configuration parameters: Following fields can be used under [sourceX] groups to configure these parameters. 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? The latest release of #NVIDIADeepStream SDK version 6.2 delivers powerful enhancements such as state-of-the-art multi-object trackers, support for lidar and Does smart record module work with local video streams? 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. Thanks for ur reply! How can I construct the DeepStream GStreamer pipeline? What are the recommended values for. smart-rec-file-prefix= Can Gst-nvinfereserver (DeepSream Triton plugin) run on Nano platform? What if I dont set video cache size for smart record? Currently, there is no support for overlapping smart record. Last updated on Oct 27, 2021. How to find out the maximum number of streams supported on given platform? Based on the event, these cached frames are encapsulated under the chosen container to generate the recorded video. The deepstream-test2 progresses from test1 and cascades secondary network to the primary network. This parameter will ensure the recording is stopped after a predefined default duration. . userData received in that callback is the one which is passed during NvDsSRStart(). A video cache is maintained so that recorded video has frames both before and after the event is generated. How can I display graphical output remotely over VNC? How does secondary GIE crop and resize objects? 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. When executing a graph, the execution ends immediately with the warning No system specified. For example, the record starts when theres an object being detected in the visual field. The source code for this application is available in /opt/nvidia/deepstream/deepstream-6.0/sources/apps/sample_apps/deepstream-app. Path of directory to save the recorded file. Copyright 2020-2021, NVIDIA. Why do I see the below Error while processing H265 RTSP stream? This parameter will ensure the recording is stopped after a predefined default duration. The message format is as follows: Receiving and processing such messages from the cloud is demonstrated in the deepstream-test5 sample application. What is maximum duration of data I can cache as history for smart record? [When user expect to use Display window], 2. The next step is to batch the frames for optimal inference performance. Can I stop it before that duration ends? Smart Video Record DeepStream 6.1.1 Release documentation smart-rec-start-time= When to start smart recording and when to stop smart recording depend on your design. That means smart record Start/Stop events are generated every 10 seconds through local events. deepstream.io Record Records are one of deepstream's core features. I hope to wrap up a first version of ODE services and alpha v0.5 by the end of the week, Once released I'm going to start on the Deepstream 5 upgrade, and the Smart recording will be the first new ODE action to implement. Why am I getting ImportError: No module named google.protobuf.internal when running convert_to_uff.py on Jetson AGX Xavier? The pre-processing can be image dewarping or color space conversion. That means smart record Start/Stop events are generated every 10 seconds through local events. 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? What are different Memory types supported on Jetson and dGPU? DeepStream supports application development in C/C++ and in Python through the Python bindings. Why is that? What happens if unsupported fields are added into each section of the YAML file? Observing video and/or audio stutter (low framerate), 2. When executing a graph, the execution ends immediately with the warning No system specified. How can I change the location of the registry logs? Why cant I paste a component after copied one? Why does the RTSP source used in gst-launch pipeline through uridecodebin show blank screen followed by the error -. 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 Feb 02, 2023. Where can I find the DeepStream sample applications? How to tune GPU memory for Tensorflow models? How to fix cannot allocate memory in static TLS block error? tensorflow python framework errors impl notfounderror no cpu devices are available in this process This function creates the instance of smart record and returns the pointer to an allocated NvDsSRContext. # seconds before the current time to start recording. Does DeepStream Support 10 Bit Video streams? 5.1 Adding GstMeta to buffers before nvstreammux. In existing deepstream-test5-app only RTSP sources are enabled for smart record. I started the record with a set duration. because when I try deepstream-app with smart-recording configured for 1 source, the behaviour is perfect. Why do I observe: A lot of buffers are being dropped. The end-to-end application is called deepstream-app. In the deepstream-test5-app, to demonstrate the use case smart record Start / Stop events are generated every interval second. Uncategorized. How does secondary GIE crop and resize objects? There are two ways in which smart record events can be generated - either through local events or through cloud messages. 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. Does DeepStream Support 10 Bit Video streams? Sink plugin shall not move asynchronously to PAUSED, 5. Can I stop it before that duration ends? And once it happens, container builder may return errors again and again. How can I determine whether X11 is running? In smart record, encoded frames are cached to save on CPU memory. There are deepstream-app sample codes to show how to implement smart recording with multiple streams. 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. GstBin which is the recordbin of NvDsSRContext must be added to the pipeline. What is the recipe for creating my own Docker image? 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. Why is that? Copyright 2021, Season. 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. MP4 and MKV containers are supported. Edge AI device (AGX Xavier) is used for this demonstration. Which Triton version is supported in DeepStream 6.0 release? Container Contents It will not conflict to any other functions in your application. This function stops the previously started recording. My DeepStream performance is lower than expected. In the list of local_copy_files, if src is a folder, Any difference for dst ends with / or not? What if I dont set video cache size for smart record? Thanks again. Can users set different model repos when running multiple Triton models in single process? DeepStream builds on top of several NVIDIA libraries from the CUDA-X stack such as CUDA, TensorRT, NVIDIA Triton Inference server and multimedia libraries. On Jetson platform, I get same output when multiple Jpeg images are fed to nvv4l2decoder using multifilesrc plugin. After inference, the next step could involve tracking the object.