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Surely it can. When to start smart recording and when to stop smart recording depend on your design. because recording might be started while the same session is actively recording for another source. Observing video and/or audio stutter (low framerate), 2. It's free to sign up and bid on jobs. To enable smart record in deepstream-test5-app set the following under [sourceX] group: smart-record=<1/2> Edge AI device (AGX Xavier) is used for this demonstration. What if I dont set default duration for smart record? Why do I observe: A lot of buffers are being dropped. Prefix of file name for generated stream. Ive configured smart-record=2 as the document said, using local event to start or end video-recording. Based on the event, these cached frames are encapsulated under the chosen container to generate the recorded video. June 29, 2022; medical bills on credit report hipaa violation letter; masajes con aceite de oliva para el cabello . How can I construct the DeepStream GStreamer pipeline? This function starts writing the cached video data to a file. What are different Memory transformations supported on Jetson and dGPU? , awarded WBR. Does smart record module work with local video streams? Do I need to add a callback function or something else? smart-rec-start-time= 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. It expects encoded frames which will be muxed and saved to the file. How can I determine whether X11 is running? On Jetson platform, I get same output when multiple Jpeg images are fed to nvv4l2decoder using multifilesrc plugin. How do I obtain individual sources after batched inferencing/processing? What is maximum duration of data I can cache as history for smart record? They are atomic bits of JSON data that can be manipulated and observed. It uses same caching parameters and implementation as video. DeepStream provides building blocks in the form of GStreamer plugins that can be used to construct an efficient video analytic pipeline. Smart Video Record DeepStream 6.1.1 Release documentation Does Gst-nvinferserver support Triton multiple instance groups? AGX Xavier consuming events from Kafka Cluster to trigger SVR. What are the recommended values for. World-class customer support and in-house procurement experts. What is the correct way to do this? Refer to the deepstream-testsr sample application for more details on usage. What are different Memory transformations supported on Jetson and dGPU? 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. Hardware Platform (Jetson / CPU) This button displays the currently selected search type. Based on the event, these cached frames are encapsulated under the chosen container to generate the recorded video. Gst-nvdewarper plugin can dewarp the image from a fisheye or 360 degree camera. How to measure pipeline latency if pipeline contains open source components. How to enable TensorRT optimization for Tensorflow and ONNX models? These plugins use GPU or VIC (vision image compositor). deepstream smart record. Observing video and/or audio stutter (low framerate), 2. 5.1 Adding GstMeta to buffers before nvstreammux. How to use the OSS version of the TensorRT plugins in DeepStream? Why am I getting following waring when running deepstream app for first time? What are the recommended values for. That means smart record Start/Stop events are generated every 10 seconds through local events. Also included are the source code for these applications. In smart record, encoded frames are cached to save on CPU memory. 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. Size of video cache in seconds. Why do some caffemodels fail to build after upgrading to DeepStream 5.1? 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. See the deepstream_source_bin.c for more details on using this module. Once frames are batched, it is sent for inference. This application will work for all AI models with detailed instructions provided in individual READMEs. What if I dont set default duration for smart record? Why is that? Why does the RTSP source used in gst-launch pipeline through uridecodebin show blank screen followed by the error -. If you are familiar with gstreamer programming, it is very easy to add multiple streams. Why am I getting following warning when running deepstream app for first time? For example, the record starts when theres an object being detected in the visual field. Does DeepStream Support 10 Bit Video streams? userData received in that callback is the one which is passed during NvDsSRStart(). 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. What is the recipe for creating my own Docker image? How to find the performance bottleneck in DeepStream? DeepStream supports application development in C/C++ and in Python through the Python bindings. 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. How can I specify RTSP streaming of DeepStream output? Call NvDsSRDestroy() to free resources allocated by this function. Ive already run the program with multi streams input while theres another question Id like to ask. I started the record with a set duration. On Jetson platform, I get same output when multiple Jpeg images are fed to nvv4l2decoder using multifilesrc plugin. What is batch-size differences for a single model in different config files (, Generating a non-DeepStream (GStreamer) extension, Generating a DeepStream (GStreamer) extension, Extension and component factory registration boilerplate, Implementation of INvDsInPlaceDataHandler, Implementation of an Configuration Provider component, DeepStream Domain Component - INvDsComponent, Probe Callback Implementation - INvDsInPlaceDataHandler, Element Property Controller INvDsPropertyController, Configurations INvDsConfigComponent template and specializations, INvDsVideoTemplatePluginConfigComponent / INvDsAudioTemplatePluginConfigComponent, Setting up a Connection from an Input to an Output, A Basic Example of Container Builder Configuration, Container builder main control section specification, Container dockerfile stage section specification, nvidia::deepstream::NvDsMultiSrcConnection, nvidia::deepstream::NvDsGxfObjectDataTranslator, nvidia::deepstream::NvDsGxfAudioClassificationDataTranslator, nvidia::deepstream::NvDsGxfOpticalFlowDataTranslator, nvidia::deepstream::NvDsGxfSegmentationDataTranslator, nvidia::deepstream::NvDsGxfInferTensorDataTranslator, nvidia::BodyPose2D::NvDsGxfBodypose2dDataTranslator, nvidia::deepstream::NvDsMsgRelayTransmitter, nvidia::deepstream::NvDsMsgBrokerC2DReceiver, nvidia::deepstream::NvDsMsgBrokerD2CTransmitter, nvidia::FacialLandmarks::FacialLandmarksPgieModel, nvidia::FacialLandmarks::FacialLandmarksSgieModel, nvidia::FacialLandmarks::FacialLandmarksSgieModelV2, nvidia::FacialLandmarks::NvDsGxfFacialLandmarksTranslator, nvidia::HeartRate::NvDsHeartRateTemplateLib, nvidia::HeartRate::NvDsGxfHeartRateDataTranslator, nvidia::deepstream::NvDsModelUpdatedSignal, nvidia::deepstream::NvDsInferVideoPropertyController, nvidia::deepstream::NvDsLatencyMeasurement, nvidia::deepstream::NvDsAudioClassificationPrint, nvidia::deepstream::NvDsPerClassObjectCounting, nvidia::deepstream::NvDsModelEngineWatchOTFTrigger, nvidia::deepstream::NvDsRoiClassificationResultParse, nvidia::deepstream::INvDsInPlaceDataHandler, nvidia::deepstream::INvDsPropertyController, nvidia::deepstream::INvDsAudioTemplatePluginConfigComponent, nvidia::deepstream::INvDsVideoTemplatePluginConfigComponent, nvidia::deepstream::INvDsInferModelConfigComponent, nvidia::deepstream::INvDsGxfDataTranslator, nvidia::deepstream::NvDsOpticalFlowVisual, nvidia::deepstream::NvDsVideoRendererPropertyController, nvidia::deepstream::NvDsSampleProbeMessageMetaCreation, nvidia::deepstream::NvDsSampleSourceManipulator, nvidia::deepstream::NvDsSampleVideoTemplateLib, nvidia::deepstream::NvDsSampleAudioTemplateLib, nvidia::deepstream::NvDsSampleC2DSmartRecordTrigger, nvidia::deepstream::NvDsSampleD2C_SRMsgGenerator, nvidia::deepstream::NvDsResnet10_4ClassDetectorModel, nvidia::deepstream::NvDsSecondaryCarColorClassifierModel, nvidia::deepstream::NvDsSecondaryCarMakeClassifierModel, nvidia::deepstream::NvDsSecondaryVehicleTypeClassifierModel, nvidia::deepstream::NvDsSonyCAudioClassifierModel, nvidia::deepstream::NvDsCarDetector360dModel, nvidia::deepstream::NvDsSourceManipulationAction, nvidia::deepstream::NvDsMultiSourceSmartRecordAction, nvidia::deepstream::NvDsMultiSrcWarpedInput, nvidia::deepstream::NvDsMultiSrcInputWithRecord, nvidia::deepstream::NvDsOSDPropertyController, nvidia::deepstream::NvDsTilerEventHandler. The registry failed to perform an operation and reported an error message. The following minimum json message from the server is expected to trigger the Start/Stop of smart record. To learn more about bi-directional capabilities, see the Bidirectional Messaging section in this guide. Developers can start with deepstream-test1 which is almost like a DeepStream hello world. Any data that is needed during callback function can be passed as userData. Therefore, a total of startTime + duration seconds of data will be recorded. Does deepstream Smart Video Record support multi streams? Why do I encounter such error while running Deepstream pipeline memory type configured and i/p buffer mismatch ip_surf 0 muxer 3? How can I determine the reason? Any data that is needed during callback function can be passed as userData. What is the difference between batch-size of nvstreammux and nvinfer? You may also refer to Kafka Quickstart guide to get familiar with Kafka. You can design your own application functions. DeepStream is an optimized graph architecture built using the open source GStreamer framework. 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. How do I configure the pipeline to get NTP timestamps? # Use this option if message has sensor name as id instead of index (0,1,2 etc.). Each NetFlow record . Are multiple parallel records on same source supported? 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. do you need to pass different session ids when recording from different sources? It takes the streaming data as input - from USB/CSI camera, video from file or streams over RTSP, and uses AI and computer vision to generate insights from pixels for better understanding of the environment. Why is the Gst-nvstreammux plugin required in DeepStream 4.0+? 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. I started the record with a set duration. What is the difference between DeepStream classification and Triton classification? Are multiple parallel records on same source supported? Path of directory to save the recorded file. Thanks again. Once the frames are in the memory, they are sent for decoding using the NVDEC accelerator. Recording also can be triggered by JSON messages received from the cloud. How can I interpret frames per second (FPS) display information on console? This function creates the instance of smart record and returns the pointer to an allocated NvDsSRContext. For deployment at scale, you can build cloud-native, DeepStream applications using containers and orchestrate it all with Kubernetes platforms. Why is that? If you are trying to detect an object, this tensor data needs to be post-processed by a parsing and clustering algorithm to create bounding boxes around the detected object. For creating visualization artifacts such as bounding boxes, segmentation masks, labels there is a visualization plugin called Gst-nvdsosd. Any change to a record is instantly synced across all connected clients. Does DeepStream Support 10 Bit Video streams? How can I verify that CUDA was installed correctly? The params structure must be filled with initialization parameters required to create the instance. # seconds before the current time to start recording. How can I check GPU and memory utilization on a dGPU system? This causes the duration of the generated video to be less than the value specified. DeepStream is only a SDK which provide HW accelerated APIs for video inferencing, video decoding, video processing, etc. How can I know which extensions synchronized to registry cache correspond to a specific repository? What types of input streams does DeepStream 6.0 support? A video cache is maintained so that recorded video has frames both before and after the event is generated. What is the difference between batch-size of nvstreammux and nvinfer? Where can I find the DeepStream sample applications? Prefix of file name for generated video. Learn More. Last updated on Feb 02, 2023. There is an option to configure a tracker. What are different Memory transformations supported on Jetson and dGPU? Can Gst-nvinferserver support inference on multiple GPUs? By performing all the compute heavy operations in a dedicated accelerator, DeepStream can achieve highest performance for video analytic applications. Smart Video Record DeepStream 6.1.1 Release documentation, DeepStream Reference Application - deepstream-app DeepStream 6.1.1 Release documentation. Duration of recording. This means, the recording cannot be started until we have an Iframe. Last updated on Sep 10, 2021. Where can I find the DeepStream sample applications? deepstream smart record. 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. In the deepstream-test5-app, to demonstrate the use case smart record Start / Stop events are generated every interval second. 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? Records are the main building blocks of deepstream's data-sync capabilities. MP4 and MKV containers are supported. Freelancer Why is that? Following are the default values of configuration parameters: Following fields can be used under [sourceX] groups to configure these parameters. What if I dont set default duration for smart record? What are different Memory types supported on Jetson and dGPU? How to find out the maximum number of streams supported on given platform? Metadata propagation through nvstreammux and nvstreamdemux. There are more than 20 plugins that are hardware accelerated for various tasks. It will not conflict to any other functions in your application. Configure DeepStream application to produce events, 4. If you set smart-record=2, this will enable smart record through cloud messages as well as local events with default configurations. smart-rec-start-time= Issue Type( questions). This parameter will ensure the recording is stopped after a predefined default duration. recordbin of NvDsSRContext is smart record bin which must be added to the pipeline. This function creates the instance of smart record and returns the pointer to an allocated NvDsSRContext. 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. How to tune GPU memory for Tensorflow models? DeepStream is only a SDK which provide HW accelerated APIs for video inferencing, video decoding, video processing, etc. This is the time interval in seconds for SR start / stop events generation. MP4 and MKV containers are supported. In the deepstream-test5-app, to demonstrate the use case smart record Start / Stop events are generated every interval second. Why do I see the below Error while processing H265 RTSP stream? How can I specify RTSP streaming of DeepStream output? The first frame in the cache may not be an Iframe, so, some frames from the cache are dropped to fulfil this condition. smart-rec-file-prefix= Which Triton version is supported in DeepStream 6.0 release? Optimizing nvstreammux config for low-latency vs Compute, 6. smart-rec-interval= The pre-processing can be image dewarping or color space conversion. What is maximum duration of data I can cache as history for smart record? Sink plugin shall not move asynchronously to PAUSED, 5. What is the official DeepStream Docker image and where do I get it? Details are available in the Readme First section of this document. How does secondary GIE crop and resize objects? DeepStream ships with several out of the box security protocols such as SASL/Plain authentication using username/password and 2-way TLS authentication. The params structure must be filled with initialization parameters required to create the instance. What types of input streams does DeepStream 5.1 support? Why do I observe a lot of buffers being dropped When running deepstream-nvdsanalytics-test application on Jetson Nano ? Object tracking is performed using the Gst-nvtracker plugin. # Configure this group to enable cloud message consumer. How can I construct the DeepStream GStreamer pipeline? Why am I getting ImportError: No module named google.protobuf.internal when running convert_to_uff.py on Jetson AGX Xavier? DeepStream 5.1 Duration of recording. 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. What is maximum duration of data I can cache as history for smart record? Do I need to add a callback function or something else? Which Triton version is supported in DeepStream 5.1 release? 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 to find the performance bottleneck in DeepStream? How can I display graphical output remotely over VNC? . For sending metadata to the cloud, DeepStream uses Gst-nvmsgconv and Gst-nvmsgbroker plugin. My DeepStream performance is lower than expected. See the C/C++ Sample Apps Source Details and Python Sample Apps and Bindings Source Details sections to learn more about the available apps. The deepstream-test2 progresses from test1 and cascades secondary network to the primary network. DeepStream is a streaming analytic toolkit to build AI-powered applications. There are deepstream-app sample codes to show how to implement smart recording with multiple streams. Tensor data is the raw tensor output that comes out after inference. smart-rec-cache= What should I do if I want to set a self event to control the record? With DeepStream you can trial our platform for free for 14-days, no commitment required. DeepStream builds on top of several NVIDIA libraries from the CUDA-X stack such as CUDA, TensorRT, NVIDIA Triton Inference server and multimedia libraries. Powered by Discourse, best viewed with JavaScript enabled. To learn more about these security features, read the IoT chapter. The message format is as follows: Receiving and processing such messages from the cloud is demonstrated in the deepstream-test5 sample application. How can I run the DeepStream sample application in debug mode? How can I check GPU and memory utilization on a dGPU system? Can Jetson platform support the same features as dGPU for Triton plugin? In existing deepstream-test5-app only RTSP sources are enabled for smart record. Why does my image look distorted if I wrap my cudaMalloced memory into NvBufSurface and provide to NvBufSurfTransform? However, when configuring smart-record for multiple sources the duration of the videos are no longer consistent (different duration for each video). By default, Smart_Record is the prefix in case this field is not set. 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. Here, start time of recording is the number of seconds earlier to the current time to start the recording. After inference, the next step could involve tracking the object. What trackers are included in DeepStream and which one should I choose for my application? Sample Helm chart to deploy DeepStream application is available on NGC. In smart record, encoded frames are cached to save on CPU memory. Recording also can be triggered by JSON messages received from the cloud. For unique names every source must be provided with a unique prefix. Why do I observe: A lot of buffers are being dropped. 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? My component is getting registered as an abstract type. Search for jobs related to Freelancer projects vlsi embedded or hire on the world's largest freelancing marketplace with 22m+ jobs. Native TensorRT inference is performed using Gst-nvinfer plugin and inference using Triton is done using Gst-nvinferserver plugin. How do I configure the pipeline to get NTP timestamps? 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 existing deepstream-test5-app only RTSP sources are enabled for smart record. How can I construct the DeepStream GStreamer pipeline? 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. 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). How can I display graphical output remotely over VNC?