Container Contents Yes, on both accounts. This is the time interval in seconds for SR start / stop events generation. How can I display graphical output remotely over VNC? Optimum memory management with zero-memory copy between plugins and the use of various accelerators ensure the highest performance. How to find out the maximum number of streams supported on given platform? Recording also can be triggered by JSON messages received from the cloud. How to set camera calibration parameters in Dewarper plugin config file? Add this bin after the audio/video parser element in the pipeline. By default, the current directory is used. How do I configure the pipeline to get NTP timestamps? In case a Stop event is not generated. What is the approximate memory utilization for 1080p streams on dGPU? One of the key capabilities of DeepStream is secure bi-directional communication between edge and cloud. A video cache is maintained so that recorded video has frames both before and after the event is generated. Typeerror hoverintent uncaught typeerror object object method Jobs GstBin which is the recordbin of NvDsSRContext must be added to the pipeline. '/usr/lib/aarch64-linux-gnu/gstreamer-1.0/libgstlibav.so': # Configure this group to enable cloud message consumer. Can Gst-nvinferserver support models across processes or containers? Smart video record is used for event (local or cloud) based recording of original data feed. If you are familiar with gstreamer programming, it is very easy to add multiple streams. Can Gst-nvinferserver support models cross processes or containers? How can I specify RTSP streaming of DeepStream output? 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. How do I obtain individual sources after batched inferencing/processing? A Record is an arbitrary JSON data structure that can be created, retrieved, updated, deleted and listened to. 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. 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. It comes pre-built with an inference plugin to do object detection cascaded by inference plugins to do image classification. When to start smart recording and when to stop smart recording depend on your design. Hardware Platform (Jetson / CPU) because recording might be started while the same session is actively recording for another source. Nothing to do. Why cant I paste a component after copied one? This parameter will ensure the recording is stopped after a predefined default duration. # default duration of recording in seconds. To start with, lets prepare a RTSP stream using DeepStream. What are the sample pipelines for nvstreamdemux? 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 can I determine whether X11 is running? How to handle operations not supported by Triton Inference Server? smart-rec-start-time= Bei Erweiterung erscheint eine Liste mit Suchoptionen, die die Sucheingaben so ndern, dass sie zur aktuellen Auswahl passen. This function releases the resources previously allocated by NvDsSRCreate(). What is the difference between DeepStream classification and Triton classification? A callback function can be setup to get the information of recorded audio/video once recording stops. When running live camera streams even for few or single stream, also output looks jittery? 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. Does deepstream Smart Video Record support multi streams? How to minimize FPS jitter with DS application while using RTSP Camera Streams? Why do some caffemodels fail to build after upgrading to DeepStream 6.0? There is an option to configure a tracker. In smart record, encoded frames are cached to save on CPU memory. Why does my image look distorted if I wrap my cudaMalloced memory into NvBufSurface and provide to NvBufSurfTransform? 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. This is a good reference application to start learning the capabilities of DeepStream. Why is that? Why is that? What is the difference between DeepStream classification and Triton classification? Can Gst-nvinferserver support inference on multiple GPUs? How can I check GPU and memory utilization on a dGPU system? What if I dont set default duration for smart record? What is the difference between DeepStream classification and Triton classification? Can I stop it before that duration ends? Smart Video Record DeepStream 6.1.1 Release documentation, DeepStream Reference Application - deepstream-app DeepStream 6.1.1 Release documentation. Do I need to add a callback function or something else? This button displays the currently selected search type. In this documentation, we will go through, producing events to Kafka Cluster from AGX Xavier during DeepStream runtime, and. In case duration is set to zero, recording will be stopped after defaultDuration seconds set in NvDsSRCreate(). mp4, mkv), Troubleshooting in NvDCF Parameter Tuning, Frequent tracking ID changes although no nearby objects, Frequent tracking ID switches to the nearby objects, Error while running ONNX / Explicit batch dimension networks, DeepStream plugins failing to load without DISPLAY variable set when launching DS dockers, 1. Sample Helm chart to deploy DeepStream application is available on NGC. Does DeepStream Support 10 Bit Video streams? Ive configured smart-record=2 as the document said, using local event to start or end video-recording. TensorRT accelerates the AI inference on NVIDIA GPU. What are different Memory transformations supported on Jetson and dGPU? What if I dont set video cache size for smart record? Can Gst-nvinferserver support inference on multiple GPUs? For example, the record starts when theres an object being detected in the visual field. 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. #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. Whats the throughput of H.264 and H.265 decode on dGPU (Tesla)? Unable to start the composer in deepstream development docker. Custom broker adapters can be created. Please make sure you understand how to migrate your DeepStream 5.1 custom models to DeepStream 6.0 before you start. Why am I getting ImportError: No module named google.protobuf.internal when running convert_to_uff.py on Jetson AGX Xavier? Path of directory to save the recorded file. recordbin of NvDsSRContext is smart record bin which must be added to the pipeline. How can I determine the reason? Why does the RTSP source used in gst-launch pipeline through uridecodebin show blank screen followed by the error -. smart-rec-dir-path= DeepStream builds on top of several NVIDIA libraries from the CUDA-X stack such as CUDA, TensorRT, NVIDIA Triton Inference server and multimedia libraries. How to use nvmultiurisrcbin in a pipeline, 3.1 REST API payload definitions and sample curl commands for reference, 3.1.1 ADD a new stream to a DeepStream pipeline, 3.1.2 REMOVE a new stream to a DeepStream pipeline, 4.1 Gst Properties directly configuring nvmultiurisrcbin, 4.2 Gst Properties to configure each instance of nvurisrcbin created inside this bin, 4.3 Gst Properties to configure the instance of nvstreammux created inside this bin, 5.1 nvmultiurisrcbin config recommendations and notes on expected behavior, 3.1 Gst Properties to configure nvurisrcbin, You are migrating from DeepStream 6.0 to DeepStream 6.2, Application fails to run when the neural network is changed, The DeepStream application is running slowly (Jetson only), The DeepStream application is running slowly, Errors occur when deepstream-app fails to load plugin Gst-nvinferserver, Tensorflow models are running into OOM (Out-Of-Memory) problem, Troubleshooting in Tracker Setup and Parameter Tuning, Frequent tracking ID changes although no nearby objects, Frequent tracking ID switches to the nearby objects, Error while running ONNX / Explicit batch dimension networks, My component is not visible in the composer even after registering the extension with registry. In existing deepstream-test5-app only RTSP sources are enabled for smart record. 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. If you set smart-record=2, this will enable smart record through cloud messages as well as local events with default configurations. In case a Stop event is not generated. The message format is as follows: Receiving and processing such messages from the cloud is demonstrated in the deepstream-test5 sample application. Whats the throughput of H.264 and H.265 decode on dGPU (Tesla)? because when I try deepstream-app with smart-recording configured for 1 source, the behaviour is perfect. When executing a graph, the execution ends immediately with the warning No system specified. What is the recipe for creating my own Docker image? Configure DeepStream application to produce events, 4. What are the sample pipelines for nvstreamdemux? How can I run the DeepStream sample application in debug mode? How can I verify that CUDA was installed correctly? The end-to-end application is called deepstream-app. Jetson devices) to follow the demonstration. . 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. How can I check GPU and memory utilization on a dGPU system? 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. Optimizing nvstreammux config for low-latency vs Compute, 6. However, when configuring smart-record for multiple sources the duration of the videos are no longer consistent (different duration for each video). This function starts writing the cached video data to a file. Deepstream - The Berlin startup for a next-den realtime platform Records are the main building blocks of deepstream's data-sync capabilities. Welcome to the DeepStream Documentation DeepStream 6.0 Release 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? DeepStream is an optimized graph architecture built using the open source GStreamer framework. Last updated on Feb 02, 2023. Any data that is needed during callback function can be passed as userData. Smart Record Deepstream Deepstream Version: 5.1 documentation Based on the event, these cached frames are encapsulated under the chosen container to generate the recorded video. How do I configure the pipeline to get NTP timestamps? Gst-nvvideoconvert plugin can perform color format conversion on the frame. See the deepstream_source_bin.c for more details on using this module. Refer to the deepstream-testsr sample application for more details on usage. [When user expect to not use a Display window], My component is not visible in the composer even after registering the extension with registry. Learn More. The core function of DSL is to provide a simple and intuitive API for building, playing, and dynamically modifying NVIDIA DeepStream Pipelines. DeepStream ships with several out of the box security protocols such as SASL/Plain authentication using username/password and 2-way TLS authentication. Deepstream 5 Support and Smart Record Issue #250 prominenceai 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. Arvind Radhakrishnen auf LinkedIn: #bard #chatgpt #google #search # The streams are captured using the CPU. Does smart record module work with local video streams? By default, Smart_Record is the prefix in case this field is not set. Bosch Rexroth on LinkedIn: #rexroth #assembly Can Jetson platform support the same features as dGPU for Triton plugin? Refer to this post for more details. By performing all the compute heavy operations in a dedicated accelerator, DeepStream can achieve highest performance for video analytic applications. . For creating visualization artifacts such as bounding boxes, segmentation masks, labels there is a visualization plugin called Gst-nvdsosd. Freelancer On Jetson platform, I observe lower FPS output when screen goes idle. DeepStream is only a SDK which provide HW accelerated APIs for video inferencing, video decoding, video processing, etc. DeepStream applications can be orchestrated on the edge using Kubernetes on GPU. Search for jobs related to Freelancer projects vlsi embedded or hire on the world's largest freelancing marketplace with 22m+ jobs. See the gst-nvdssr.h header file for more details. What if I dont set video cache size for smart record? Can users set different model repos when running multiple Triton models in single process? How to fix cannot allocate memory in static TLS block error? How to use the OSS version of the TensorRT plugins in DeepStream? 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. DeepStream Reference Application - deepstream-app DeepStream 6.1.1 Release documentation. You may use other devices (e.g. Once the frames are in the memory, they are sent for decoding using the NVDEC accelerator. How can I determine the reason? Call NvDsSRDestroy() to free resources allocated by this function. How can I get more information on why the operation failed? I started the record with a set duration. 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 . Following are the default values of configuration parameters: Following fields can be used under [sourceX] groups to configure these parameters. The first frame in the cache may not be an Iframe, so, some frames from the cache are dropped to fulfil this condition. The graph below shows a typical video analytic application starting from input video to outputting insights. 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. Adding a callback is a possible way. There are two ways in which smart record events can be generated - either through local events or through cloud messages. In this documentation, we will go through Host Kafka server, producing events to Kafka Cluster from AGX Xavier during DeepStream runtime, and Running with an X server by creating virtual display, 2 . # Use this option if message has sensor name as id instead of index (0,1,2 etc.). 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. This function stops the previously started recording. In the list of local_copy_files, if src is a folder, Any difference for dst ends with / or not? I'll be adding new github Issues for both items, but will leave this issue open until then. DeepStream supports application development in C/C++ and in Python through the Python bindings. Karthick Iyer auf LinkedIn: Seamlessly Develop Vision AI Applications Both audio and video will be recorded to the same containerized file. What is maximum duration of data I can cache as history for smart record? What are the sample pipelines for nvstreamdemux? What types of input streams does DeepStream 6.2 support? In case duration is set to zero, recording will be stopped after defaultDuration seconds set in NvDsSRCreate(). Developers can start with deepstream-test1 which is almost like a DeepStream hello world. Call NvDsSRDestroy() to free resources allocated by this function. 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. userData received in that callback is the one which is passed during NvDsSRStart(). Why is that? Does smart record module work with local video streams? What should I do if I want to set a self event to control the record? deepstream-testsr is to show the usage of smart recording interfaces. This paper presents DeepStream, a novel data stream temporal clustering algorithm that dynamically detects sequential and overlapping clusters. My component is getting registered as an abstract type. Can Gst-nvinferserver support models cross processes or containers? How do I obtain individual sources after batched inferencing/processing? Metadata propagation through nvstreammux and nvstreamdemux. How does secondary GIE crop and resize objects? What is the official DeepStream Docker image and where do I get it? In the deepstream-test5-app, to demonstrate the use case smart record Start / Stop events are generated every interval second. 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. 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. Why do I observe a lot of buffers being dropped When running deepstream-nvdsanalytics-test application on Jetson Nano ? Smart-rec-container=<0/1> smart-rec-interval= It's free to sign up and bid on jobs. Which Triton version is supported in DeepStream 6.0 release? smart-rec-video-cache= You may also refer to Kafka Quickstart guide to get familiar with Kafka. This parameter will ensure the recording is stopped after a predefined default duration. deepstream.io Record Records are one of deepstream's core features. This recording happens in parallel to the inference pipeline running over the feed. 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. Creating records What is the recipe for creating my own Docker image? The params structure must be filled with initialization parameters required to create the instance. What are different Memory types supported on Jetson and dGPU? Produce device-to-cloud event messages, 5. Here startTime specifies the seconds before the current time and duration specifies the seconds after the start of recording. On Jetson platform, I get same output when multiple Jpeg images are fed to nvv4l2decoder using multifilesrc plugin. Are multiple parallel records on same source supported? In existing deepstream-test5-app only RTSP sources are enabled for smart record. Are multiple parallel records on same source supported? 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) 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. If current time is t1, content from t1 - startTime to t1 + duration will be saved to file. There are deepstream-app sample codes to show how to implement smart recording with multiple streams. Note that the formatted messages were sent to , lets rewrite our consumer.py to inspect the formatted messages from this topic. Why do I encounter such error while running Deepstream pipeline memory type configured and i/p buffer mismatch ip_surf 0 muxer 3? How to fix cannot allocate memory in static TLS block error? This module provides the following APIs. Can I stop it before that duration ends? Why is the Gst-nvstreammux plugin required in DeepStream 4.0+? 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.
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