How do I configure the pipeline to get NTP timestamps? Does Gst-nvinferserver support Triton multiple instance groups? 1 Like a7med.hish October 4, 2021, 12:18pm #7 If you set smart-record=2, this will enable smart record through cloud messages as well as local events with default configurations. GstBin which is the recordbin of NvDsSRContext must be added to the pipeline. DeepStream is a streaming analytic toolkit to build AI-powered applications. 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 cache size must be greater than the N. smart-rec-default-duration=
Any data that is needed during callback function can be passed as userData. What is the recipe for creating my own Docker image? In this documentation, we will go through Host Kafka server, producing events to Kafka Cluster from AGX Xavier during DeepStream runtime, and A Record is an arbitrary JSON data structure that can be created, retrieved, updated, deleted and listened to. Here startTime specifies the seconds before the current time and duration specifies the seconds after the start of recording. What are different Memory types supported on Jetson and dGPU? How to find out the maximum number of streams supported on given platform? DeepStream applications can be deployed in containers using NVIDIA container Runtime. Smart-rec-container=<0/1>
Whats the throughput of H.264 and H.265 decode on dGPU (Tesla)? It will not conflict to any other functions in your application. MP4 and MKV containers are supported. What is the approximate memory utilization for 1080p streams on dGPU? Why does the RTSP source used in gst-launch pipeline through uridecodebin show blank screen followed by the error -. 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. 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. By default, Smart_Record is the prefix in case this field is not set. During container builder installing graphs, sometimes there are unexpected errors happening while downloading manifests or extensions from registry. Ive already run the program with multi streams input while theres another question Id like to ask. What types of input streams does DeepStream 5.1 support? Why am I getting ImportError: No module named google.protobuf.internal when running convert_to_uff.py on Jetson AGX Xavier? How to measure pipeline latency if pipeline contains open source components. Why does my image look distorted if I wrap my cudaMalloced memory into NvBufSurface and provide to NvBufSurfTransform? 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. Smart video record is used for event (local or cloud) based recording of original data feed. Issue Type( questions). Where can I find the DeepStream sample applications? deepstream smart record. Why does the RTSP source used in gst-launch pipeline through uridecodebin show blank screen followed by the error -. It comes pre-built with an inference plugin to do object detection cascaded by inference plugins to do image classification. When executing a graph, the execution ends immediately with the warning No system specified. 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. Freelancer Does smart record module work with local video streams? How can I run the DeepStream sample application in debug mode? How to minimize FPS jitter with DS application while using RTSP Camera Streams? The inference can use the GPU or DLA (Deep Learning accelerator) for Jetson AGX Xavier and Xavier NX. 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. Why do I observe a lot of buffers being dropped When running deepstream-nvdsanalytics-test application on Jetson Nano ? What should I do if I want to set a self event to control the record? On Jetson platform, I observe lower FPS output when screen goes idle. What trackers are included in DeepStream and which one should I choose for my application? That means smart record Start/Stop events are generated every 10 seconds through local events. To get started, developers can use the provided reference applications. Once frames are batched, it is sent for inference. There are several built-in broker protocols such as Kafka, MQTT, AMQP and Azure IoT. The message format is as follows: Receiving and processing such messages from the cloud is demonstrated in the deepstream-test5 sample application. By default, Smart_Record is the prefix in case this field is not set. The source code for this application is available in /opt/nvidia/deepstream/deepstream-6.0/sources/apps/sample_apps/deepstream-app. Why cant I paste a component after copied one? Configure [source0] and [sink1] groups of DeepStream app config configs/test5_dec_infer-resnet_tracker_sgie_tiled_display_int8.txt so that DeepStream is able to use RTSP source from step 1 and render events to your Kafka server: At this stage, our DeepStream application is ready to run and produce events containing bounding box coordinates to Kafka server: To consume the events, we write consumer.py. Copyright 2020-2021, NVIDIA. To enable smart record in deepstream-test5-app set the following under [sourceX] group: smart-record=<1/2> Custom broker adapters can be created. Observing video and/or audio stutter (low framerate), 2. What is the difference between DeepStream classification and Triton classification? At the heart of deepstreamHub lies a powerful data-sync engine: schemaless JSON documents called "records" can be manipulated and observed by backend-processes or clients. Why do I see the below Error while processing H265 RTSP stream? What are the sample pipelines for nvstreamdemux? Can I stop it before that duration ends? Does DeepStream Support 10 Bit Video streams? On Jetson platform, I get same output when multiple Jpeg images are fed to nvv4l2decoder using multifilesrc plugin. This function stops the previously started recording. Users can also select the type of networks to run inference. Size of video cache in seconds. Why is a Gst-nvegltransform plugin required on a Jetson platform upstream from Gst-nveglglessink? deepstream smart record. Produce device-to-cloud event messages, 5. Does deepstream Smart Video Record support multi streams? This is currently supported for Kafka. To enable audio, a GStreamer element producing encoded audio bitstream must be linked to the asink pad of the smart record bin. because recording might be started while the same session is actively recording for another source. Why am I getting following waring when running deepstream app for first time? If you dont have any RTSP cameras, you may pull DeepStream demo container . Read more about DeepStream here. TensorRT accelerates the AI inference on NVIDIA GPU. In the deepstream-test5-app, to demonstrate the use case smart record Start / Stop events are generated every interval second. DeepStream 5.1 Are multiple parallel records on same source supported? 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. What is the recipe for creating my own Docker image? By performing all the compute heavy operations in a dedicated accelerator, DeepStream can achieve highest performance for video analytic applications. In smart record, encoded frames are cached to save on CPU memory. One of the key capabilities of DeepStream is secure bi-directional communication between edge and cloud. KAFKA_TRANSACTION_STATE_LOG_REPLICATION_FACTOR, KAFKA_CONFLUENT_LICENSE_TOPIC_REPLICATION_FACTOR, KAFKA_CONFLUENT_BALANCER_TOPIC_REPLICATION_FACTOR, CONFLUENT_METRICS_REPORTER_BOOTSTRAP_SERVERS, CONFLUENT_METRICS_REPORTER_TOPIC_REPLICAS, 3. Nothing to do. How to handle operations not supported by Triton Inference Server? I started the record with a set duration. The end-to-end application is called deepstream-app. In SafeFac a set of cameras installed on the assembly line are used to captu. Can users set different model repos when running multiple Triton models in single process? 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? I'll be adding new github Issues for both items, but will leave this issue open until then. Why is that? What are the sample pipelines for nvstreamdemux? Which Triton version is supported in DeepStream 6.0 release? Sample Helm chart to deploy DeepStream application is available on NGC. Any change to a record is instantly synced across all connected clients. When to start smart recording and when to stop smart recording depend on your design. For deployment at scale, you can build cloud-native, DeepStream applications using containers and orchestrate it all with Kubernetes platforms. How do I configure the pipeline to get NTP timestamps? The property bufapi-version is missing from nvv4l2decoder, what to do? Dieser Button zeigt den derzeit ausgewhlten Suchtyp an. Can I record the video with bounding boxes and other information overlaid? Thanks again. Duration of recording. The containers are available on NGC, NVIDIA GPU cloud registry. Jetson devices) to follow the demonstration. 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. In case a Stop event is not generated. Recording also can be triggered by JSON messages received from the cloud. How can I run the DeepStream sample application in debug mode? Developers can start with deepstream-test1 which is almost like a DeepStream hello world. 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. This means, the recording cannot be started until we have an Iframe. Here startTime specifies the seconds before the current time and duration specifies the seconds after the start of recording. The streams are captured using the CPU. What types of input streams does DeepStream 6.0 support? To learn more about bi-directional capabilities, see the Bidirectional Messaging section in this guide. Changes are persisted and synced across all connected devices in milliseconds. How can I determine whether X11 is running? The params structure must be filled with initialization parameters required to create the instance. , awarded WBR. What are the sample pipelines for nvstreamdemux? When expanded it provides a list of search options that will switch the search inputs to match the current selection. 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. Do I need to add a callback function or something else? Finally to output the results, DeepStream presents various options: render the output with the bounding boxes on the screen, save the output to the local disk, stream out over RTSP or just send the metadata to the cloud. What is maximum duration of data I can cache as history for smart record? Optimizing nvstreammux config for low-latency vs Compute, 6. smart-rec-duration=
What are different Memory types supported on Jetson and dGPU? This recording happens in parallel to the inference pipeline running over the feed. To learn more about these security features, read the IoT chapter. This causes the duration of the generated video to be less than the value specified. This is the time interval in seconds for SR start / stop events generation. Why I cannot run WebSocket Streaming with Composer? because when I try deepstream-app with smart-recording configured for 1 source, the behaviour is perfect. How can I change the location of the registry logs? How can I check GPU and memory utilization on a dGPU system? What if I dont set video cache size for smart record? See the deepstream_source_bin.c for more details on using this module. How can I determine the reason? Please help to open a new topic if still an issue to support. The performance benchmark is also run using this application. This recording happens in parallel to the inference pipeline running over the feed. This function creates the instance of smart record and returns the pointer to an allocated NvDsSRContext. Typeerror hoverintent uncaught typeerror object object method jobs I want to Hire I want to Work. It uses same caching parameters and implementation as video. June 29, 2022; medical bills on credit report hipaa violation letter; masajes con aceite de oliva para el cabello . What are the recommended values for. The message format is as follows: Receiving and processing such messages from the cloud is demonstrated in the deepstream-test5 sample application. How to enable TensorRT optimization for Tensorflow and ONNX models? 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. What happens if unsupported fields are added into each section of the YAML file? Gst-nvvideoconvert plugin can perform color format conversion on the frame. Whats the throughput of H.264 and H.265 decode on dGPU (Tesla)? How to find out the maximum number of streams supported on given platform? 5.1 Adding GstMeta to buffers before nvstreammux. Add this bin after the audio/video parser element in the pipeline. There are deepstream-app sample codes to show how to implement smart recording with multiple streams. Does Gst-nvinferserver support Triton multiple instance groups? See the C/C++ Sample Apps Source Details and Python Sample Apps and Bindings Source Details sections to learn more about the available apps. Why do I see tracker_confidence value as -0.1.? Unable to start the composer in deepstream development docker. Can Gst-nvinferserver support models cross processes or containers? How to get camera calibration parameters for usage in Dewarper plugin? 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. # seconds before the current time to start recording. #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. Path of directory to save the recorded file. Uncategorized. AGX Xavier consuming events from Kafka Cluster to trigger SVR. Are multiple parallel records on same source supported? The property bufapi-version is missing from nvv4l2decoder, what to do? Abstract This work presents SafeFac, an intelligent camera-based system for managing the safety of factory environments. My DeepStream performance is lower than expected. How to enable TensorRT optimization for Tensorflow and ONNX models? DeepStream is only a SDK which provide HW accelerated APIs for video inferencing, video decoding, video processing, etc. 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=
When to start smart recording and when to stop smart recording depend on your design. Here, start time of recording is the number of seconds earlier to the current time to start the recording. How to find the performance bottleneck in DeepStream? The graph below shows a typical video analytic application starting from input video to outputting insights. Sink plugin shall not move asynchronously to PAUSED, 5. How to tune GPU memory for Tensorflow models? A video cache is maintained so that recorded video has frames both before and after the event is generated. DeepStream is only a SDK which provide HW accelerated APIs for video inferencing, video decoding, video processing, etc. What are different Memory transformations supported on Jetson and dGPU? This function releases the resources previously allocated by NvDsSRCreate(). Yes, on both accounts. Copyright 2021, Season. Call NvDsSRDestroy() to free resources allocated by this function. On Jetson platform, I get same output when multiple Jpeg images are fed to nvv4l2decoder using multifilesrc plugin. Can Jetson platform support the same features as dGPU for Triton plugin? 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. # Use this option if message has sensor name as id instead of index (0,1,2 etc.). 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. However, when configuring smart-record for multiple sources the duration of the videos are no longer consistent (different duration for each video). smart-rec-file-prefix=
What if I dont set default duration for smart record? This parameter will increase the overall memory usages of the application. London, awarded World book of records There are more than 20 plugins that are hardware accelerated for various tasks. How do I obtain individual sources after batched inferencing/processing? The params structure must be filled with initialization parameters required to create the instance. Why do some caffemodels fail to build after upgrading to DeepStream 6.2? Any data that is needed during callback function can be passed as userData. Does Gst-nvinferserver support Triton multiple instance groups? Only the data feed with events of importance is recorded instead of always saving the whole feed. How can I determine whether X11 is running? On AGX Xavier, we first find the deepstream-app-test5 directory and create the sample application: If you are not sure which CUDA_VER you have, check */usr/local/*. Ive configured smart-record=2 as the document said, using local event to start or end video-recording. Batching is done using the Gst-nvstreammux plugin. Why do I see the below Error while processing H265 RTSP stream? How to tune GPU memory for Tensorflow models? The first frame in the cache may not be an Iframe, so, some frames from the cache are dropped to fulfil this condition. See the gst-nvdssr.h header file for more details. This parameter will ensure the recording is stopped after a predefined default duration. This is currently supported for Kafka. It returns the session id which later can be used in NvDsSRStop() to stop the corresponding recording. My component is getting registered as an abstract type. This means, the recording cannot be started until we have an Iframe. The following minimum json message from the server is expected to trigger the Start/Stop of smart record. 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. Can I stop it before that duration ends? Why is the Gst-nvstreammux plugin required in DeepStream 4.0+? My DeepStream performance is lower than expected. Edge AI device (AGX Xavier) is used for this demonstration. I started the record with a set duration. In existing deepstream-test5-app only RTSP sources are enabled for smart record. You may also refer to Kafka Quickstart guide to get familiar with Kafka. Add this bin after the parser element in the pipeline. 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. The pre-processing can be image dewarping or color space conversion. How can I run the DeepStream sample application in debug mode? The data types are all in native C and require a shim layer through PyBindings or NumPy to access them from the Python app. 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.
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