deepstream smart record

There are two ways in which smart record events can be generated - either through local events or through cloud messages. What is the approximate memory utilization for 1080p streams on dGPU? This is currently supported for Kafka. 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. Following are the default values of configuration parameters: Following fields can be used under [sourceX] groups to configure these parameters. smart-rec-start-time= Do I need to add a callback function or something else? The plugin for decode is called Gst-nvvideo4linux2. AGX Xavier consuming events from Kafka Cluster to trigger SVR. smart-rec-dir-path= The deepstream-test2 progresses from test1 and cascades secondary network to the primary network. . You can design your own application functions. A callback function can be setup to get the information of recorded video once recording stops. Why is a Gst-nvegltransform plugin required on a Jetson platform upstream from Gst-nveglglessink? Can I record the video with bounding boxes and other information overlaid? DeepStream builds on top of several NVIDIA libraries from the CUDA-X stack such as CUDA, TensorRT, NVIDIA Triton Inference server and multimedia libraries. 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. 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. GstBin which is the recordbin of NvDsSRContext must be added to the pipeline. Can Gst-nvinferserver support models cross processes or containers? To make it easier to get started, DeepStream ships with several reference applications in both in C/C++ and in Python. One of the key capabilities of DeepStream is secure bi-directional communication between edge and cloud. How can I display graphical output remotely over VNC? How can I determine the reason? To enable smart record in deepstream-test5-app set the following under [sourceX] group: smart-record=<1/2> Copyright 2021, Season. Observing video and/or audio stutter (low framerate), 2. Edge AI device (AGX Xavier) is used for this demonstration. See the C/C++ Sample Apps Source Details and Python Sample Apps and Bindings Source Details sections to learn more about the available apps. That means smart record Start/Stop events are generated every 10 seconds through local events. Nothing to do. Does smart record module work with local video streams? Each NetFlow record . Streaming data can come over the network through RTSP or from a local file system or from a camera directly. smart-rec-interval= What should I do if I want to set a self event to control the record? For example, the record starts when theres an object being detected in the visual field. See the gst-nvdssr.h header file for more details. DeepStream 5.1 Details are available in the Readme First section of this document. How to enable TensorRT optimization for Tensorflow and ONNX models? userData received in that callback is the one which is passed during NvDsSRStart(). The streams are captured using the CPU. 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. Produce device-to-cloud event messages, 5. DeepStream applications can be created without coding using the Graph Composer. 5.1 Adding GstMeta to buffers before nvstreammux. Why do I see the below Error while processing H265 RTSP stream? Can I stop it before that duration ends? In SafeFac a set of cameras installed on the assembly line are used to captu. Once the frames are in the memory, they are sent for decoding using the NVDEC accelerator. Path of directory to save the recorded file. What are the recommended values for. Any data that is needed during callback function can be passed as userData. 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. How can I check GPU and memory utilization on a dGPU system? What is the difference between DeepStream classification and Triton classification? On Jetson platform, I get same output when multiple Jpeg images are fed to nvv4l2decoder using multifilesrc plugin. Recording also can be triggered by JSON messages received from the cloud. . How to handle operations not supported by Triton Inference Server? How can I run the DeepStream sample application in debug mode? How can I run the DeepStream sample application in debug mode? smart-rec-duration= Prefix of file name for generated video. Sink plugin shall not move asynchronously to PAUSED, 5. This button displays the currently selected search type. It uses same caching parameters and implementation as video. deepstream smart record. What is the difference between batch-size of nvstreammux and nvinfer? 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. What is the official DeepStream Docker image and where do I get it? recordbin of NvDsSRContext is smart record bin which must be added to the pipeline. Below diagram shows the smart record architecture: This module provides the following APIs. 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. After pulling the container, you might open the notebook deepstream-rtsp-out.ipynb and create a RTSP source. See the gst-nvdssr.h header file for more details. Dieser Button zeigt den derzeit ausgewhlten Suchtyp an. My DeepStream performance is lower than expected. My component is getting registered as an abstract type. In this documentation, we will go through Host Kafka server, producing events to Kafka Cluster from AGX Xavier during DeepStream runtime, and Whats the throughput of H.264 and H.265 decode on dGPU (Tesla)? The deepstream-test3 shows how to add multiple video sources and then finally test4 will show how to IoT services using the message broker plugin. Why is that? Abstract This work presents SafeFac, an intelligent camera-based system for managing the safety of factory environments. Does DeepStream Support 10 Bit Video streams? Whats the throughput of H.264 and H.265 decode on dGPU (Tesla)? This function creates the instance of smart record and returns the pointer to an allocated NvDsSRContext. 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. Why do I observe: A lot of buffers are being dropped. Freelancer Using records Records are requested using client.record.getRecord (name). The inference can use the GPU or DLA (Deep Learning accelerator) for Jetson AGX Xavier and Xavier NX. The first frame in the cache may not be an Iframe, so, some frames from the cache are dropped to fulfil this condition. The following minimum json message from the server is expected to trigger the Start/Stop of smart record. What types of input streams does DeepStream 6.0 support? There are deepstream-app sample codes to show how to implement smart recording with multiple streams. In case a Stop event is not generated. Typeerror hoverintent uncaught typeerror object object method jobs I want to Hire I want to Work. Duration of recording. # Configure this group to enable cloud message consumer. For creating visualization artifacts such as bounding boxes, segmentation masks, labels there is a visualization plugin called Gst-nvdsosd. They will take video from a file, decode, batch and then do object detection and then finally render the boxes on the screen. What is the approximate memory utilization for 1080p streams on dGPU? This recording happens in parallel to the inference pipeline running over the feed. 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. These plugins use GPU or VIC (vision image compositor). What types of input streams does DeepStream 6.2 support? deepstream smart record. Why is the Gst-nvstreammux plugin required in DeepStream 4.0+? deepstream.io Record Records are one of deepstream's core features. Revision 6f7835e1. Are multiple parallel records on same source supported? What is the official DeepStream Docker image and where do I get it? In this documentation, we will go through, producing events to Kafka Cluster from AGX Xavier during DeepStream runtime, and. 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 I observe: A lot of buffers are being dropped. A callback function can be setup to get the information of recorded audio/video once recording stops. Copyright 2023, NVIDIA. Add this bin after the audio/video parser element in the pipeline. How do I obtain individual sources after batched inferencing/processing? Currently, there is no support for overlapping smart record. Here startTime specifies the seconds before the current time and duration specifies the seconds after the start of recording. Size of cache in seconds. '/usr/lib/aarch64-linux-gnu/gstreamer-1.0/libgstlibav.so': # Configure this group to enable cloud message consumer. In case duration is set to zero, recording will be stopped after defaultDuration seconds set in NvDsSRCreate(). Which Triton version is supported in DeepStream 5.1 release? Today, Deepstream has become the silent force behind some of the world's largest banks, communication, and entertainment companies. Here, start time of recording is the number of seconds earlier to the current time to start the recording. My DeepStream performance is lower than expected. Does Gst-nvinferserver support Triton multiple instance groups? In the list of local_copy_files, if src is a folder, Any difference for dst ends with / or not? Can users set different model repos when running multiple Triton models in single process? Smart Video Record DeepStream 6.1.1 Release documentation This is the time interval in seconds for SR start / stop events generation. The size of the video cache can be configured per use case. For the output, users can select between rendering on screen, saving the output file, or streaming the video out over RTSP. World-class customer support and in-house procurement experts. How do I configure the pipeline to get NTP timestamps? Why is a Gst-nvegltransform plugin required on a Jetson platform upstream from Gst-nveglglessink? Why do I encounter such error while running Deepstream pipeline memory type configured and i/p buffer mismatch ip_surf 0 muxer 3? Can Gst-nvinfereserver (DeepSream Triton plugin) run on Nano platform? 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. 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. 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. What are different Memory transformations supported on Jetson and dGPU? Why am I getting following waring when running deepstream app for first time? Metadata propagation through nvstreammux and nvstreamdemux. , awarded WBR. The registry failed to perform an operation and reported an error message. Creating records DeepStream provides building blocks in the form of GStreamer plugins that can be used to construct an efficient video analytic pipeline. Developers can start with deepstream-test1 which is almost like a DeepStream hello world. Why is that? Why is the Gst-nvstreammux plugin required in DeepStream 4.0+? What is the official DeepStream Docker image and where do I get it? Why do I encounter such error while running Deepstream pipeline memory type configured and i/p buffer mismatch ip_surf 0 muxer 3? In case a Stop event is not generated. How can I construct the DeepStream GStreamer pipeline? Changes are persisted and synced across all connected devices in milliseconds. What are the sample pipelines for nvstreamdemux? Thanks for ur reply! The following minimum json message from the server is expected to trigger the Start/Stop of smart record. This parameter will increase the overall memory usages of the application. How to find out the maximum number of streams supported on given platform? 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 graph below shows a typical video analytic application starting from input video to outputting insights. 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. What happens if unsupported fields are added into each section of the YAML file? How can I check GPU and memory utilization on a dGPU system? To get started, developers can use the provided reference applications. How to tune GPU memory for Tensorflow models? The core SDK consists of several hardware accelerator plugins that use accelerators such as VIC, GPU, DLA, NVDEC and NVENC. How can I determine the reason? Based on the event, these cached frames are encapsulated under the chosen container to generate the recorded video. If current time is t1, content from t1 - startTime to t1 + duration will be saved to file. However, when configuring smart-record for multiple sources the duration of the videos are no longer consistent (different duration for each video). This function creates the instance of smart record and returns the pointer to an allocated NvDsSRContext. Where can I find the DeepStream sample applications? 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? In the deepstream-test5-app, to demonstrate the use case smart record Start / Stop events are generated every interval second. # seconds before the current time to start recording. Why do I see the below Error while processing H265 RTSP stream? Its lightning-fast realtime data platform helps developers of any background or skillset build apps, IoT platforms, and backends that always stay in sync - without having to worry about infrastructure or . Why do some caffemodels fail to build after upgrading to DeepStream 5.1? Smart video record is used for event (local or cloud) based recording of original data feed. GstBin which is the recordbin of NvDsSRContext must be added to the pipeline. Therefore, a total of startTime + duration seconds of data will be recorded. Following are the default values of configuration parameters: Following fields can be used under [sourceX] groups to configure these parameters. When running live camera streams even for few or single stream, also output looks jittery? A Record is an arbitrary JSON data structure that can be created, retrieved, updated, deleted and listened to. 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= DeepStream applications can be orchestrated on the edge using Kubernetes on GPU. The property bufapi-version is missing from nvv4l2decoder, what to do? Once frames are batched, it is sent for inference. How can I interpret frames per second (FPS) display information on console? Object tracking is performed using the Gst-nvtracker plugin. To learn more about these security features, read the IoT chapter. #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.

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