Seek avs XVIZ related function module and API introduction

XVIZ is part of the Autonomous Visualization System, an open source specification for visualizing data from autonomous vehicles. The XVIZ specification defines a data format that an autonomous vehicle system can transfer to a visualization tool for rendering. XVIZ makes it easier and more reliable to transfer data between visual tools and autonomous vehicle systems by providing standardized data structures and apis.

Here is a brief overview of XVIZ's main functional modules and apis:

XVIZ Core: This is the basic module in the XVIZ specification that provides the core structure and API for defining XVIZ message formats. XVIZ Core includes functions such as definition of XVIZ format, serialization and deserialization of XVIZ messages, and management of XVIZ metadata.

XVIZ Schema: XVIZ Schema is the definition of the XVIZ data format, which provides a JSON-based language to define the structure and content of XVIZ messages.

XVIZ Middleware: This module provides middleware that transfers XVIZ data from autonomous vehicle systems to visual tools. XVIZ Middleware includes middleware such as ROS, WebSocket, and TCP.

XVIZ Server: XVIZ Server is a service for storing and distributing XVIZ data. It provides the REST API and WebSocket API so that visual tools can request XVIZ data.

XVIZ Viewer: XVIZ Viewer is a Web application for visualizing XVIZ data that provides an interactive browser-based user interface to render real-time state of autonomous vehicle data.

This is a brief introduction to the main functional modules and apis of XVIZ. If you want to have a thorough understanding of XVIZ detailed information, please see the official documentation(< a href = "https://avs.auto/xviz/docs/). This document provides a complete description of XVIZ, including API documentation, sample code, and detailed tutorials. > https://avs.auto/xviz/docs/). This document provides a complete description of XVIZ, including API documentation, sample code, and detailed tutorials.

AVS(Autonomous Vehicle Simulation) is a framework for autonomous vehicle simulation. XVIZ is one of the functional modules. In AVS, XVIZ provides a data format for representing data generated by self-driving cars in simulations, including vehicle status, sensor data, road conditions, and more.

XVIZ is to provide a standard and extensible data format for describing the data generated by autonomous vehicles in simulations. XVIZ's data format is based on JavaScript Object Notation(JSON). It consists of a series of data streams, each containing a set of time-stamped data. These data streams include:

Metadata: Metadata that describes basic information about the entire data stream, such as vehicle type, sensor type, and so on.
Pose: Vehicle status information, including vehicle position, attitude, speed, etc.
Image: Image data, including images generated by cameras or lidar or point cloud data.
Primitive: Geometric data for vehicles, road signs, traffic signs, etc.
Time series: Time series data, including vehicle sensor data, speed, acceleration, and so on.
XVIZ also provides some useful apis for processing and visualizing data. Some of the commonly used apis include:

Dataflow: Used to send data streams to clients and support real-time updates.
XVIZBuilder: Used to build XVIZ data streams, supporting dynamic data addition.
XVIZProvider: Used to provide XVIZ data streams to clients and support local or remote data access.
XVIZMiddlewareStack: Used to process and transform XVIZ data streams, supporting custom middleware.
Overall, XVIZ provides a very flexible and scalable way to describe the data generated by self-driving cars in simulations, and provides some useful apis that can be used for data processing and visualization. This makes XVIZ a very useful tool for autonomous vehicle simulation, data analysis, and development.
In addition to the basic functionality mentioned above, XVIZ provides many other functional modules and apis. Here are some examples:

1 Time-space indexing: XVIZ provides a quick way to index data in a data stream for retrieval in both temporal and spatial dimensions. This makes it easy for the user to find data of interest, such as the position of the vehicle at a given moment or the change in speed over a given period of time.

2 Dynamic building: XVIZ allows users to dynamically build a data stream at run time, which means that users can add new data to the data stream or modify existing data. This allows the user to simulate more situations and scenarios in the simulation and to control the simulation process flexibly.

3 Visualization: XVIZ provides some useful apis and tools to visualize the XVIZ data flow. For example, XVIZ offers a Web application called Xviz-play that plays XVIZ data streams in real time in the browser and allows you to customize layers, colors, data sources, and more.

4 Extensibility: XVIZ allows users to extend data formats in order to support new data types or data sources. This makes XVIZ more flexible and adaptable to meet a wide variety of application scenarios and requirements.
In addition, XVIZ has several other features and advantages, such as
1 Ease of use: XVIZ's data formats and apis are easy to use and allow easy integration with languages and tools such as Python, JavaScript, ROS, Simulink, and more.

2 Performance: The XVIZ data format is very compact, which can greatly reduce the cost of data transmission and storage. At the same time, XVIZ also supports data streaming and can update data in real time, which meets the requirements of real time application scenarios.

3 Standardization: XVIZ is a standard data format that can be easily integrated with other systems and tools. At the same time, XVIZ is an open standard, and anyone can contribute new extensions or improvements to further increase the value and reach of XVIZ.

4 Reproducibility: XVIZ can help users record and reproduce data generated during simulation, which is important for developing and testing algorithms and systems for autonomous cars.
You can find information about XVIZ in Chinese on the following websites or resources:

Official documents of XVIZ XVIZ official document has Chinese translation, can be in the < a href = "https://xviz.gitee.io/docs/zh_cn/" > https://xviz.gitee.io/docs/zh_cn/ < / a > to find the Chinese version of the document.

Chinese Community forums: XVIZ has some active community forums in China, such as Zhihu, CSDN, cnblogs and so on. You can search these forums for articles and discussions about XVIZ for more Chinese materials and information.

Online tutorials and video tutorials: Some websites and video platforms offer Chinese tutorials and video tutorials on XVIZ, such as Bilibili, Youku, Tencent Video and other platforms.

If it helps you, please give it, thank you.

AVS(Autonomous Vehicle Simulator) is an open source autonomous vehicle simulator, XVIZ is part of AVS, Is a common data format and protocol for visualizing autonomous driving data. Here's a closer look at XVIZ:

1. General introduction

XVIZ is a data format based on JavaScript Object Notation(JSON) for describing various information in autonomous driving systems such as three-dimensional maps, vehicle status, and sensor data. XVIZ also defines a set of specifications for converting this information into visual WebGL data for visualization in any Webgl-enabled browser. The goal of
XVIZ is to provide a common data format and protocol for autonomous driving systems to facilitate data sharing, storage, and visualization.

2. Function modules
XVIZ mainly includes the following function modules:

① Data format: defines the data format describing various information in the automatic driving system, including vehicle status, sensor data, map data, etc.
② Data protocol: defines how to transfer this information to the client and provides a consistent API for real-time streaming and offline data;
③ Visualization specification: defines how to convert this information into WebGL data for visualization in the browser; ④ Client API: Provides a JavaScript API for visualizing XVIZ data in the browser.

3.API Introduction
The XVIZ client API is a set of JavaScript functions and classes for visualizing XVIZ data in a browser. Here are some common apis:

①XVIZProvider: Used to obtain XVIZ data from XVIZ data sources.
②XVIZLiveLoader: used to obtain XVIZ data from WebSocket in real time;
③XVIZFileLoader: Used to obtain XVIZ data from XVIZ files;
④XVIZUIBuilder: Used to build the visual UI of XVIZ data;
⑤XVIZPlotComponent: Used to map vehicle status and sensor data;
⑥ZVideoComponent: Used to play XVIZ video data on the map.

4. Official documentation
XVIZ official documentation can be found at:

• XVIZ GitHub home page: < a href = "https://github.com/uber/xviz" target = "_blank" > < span > https://github.com/uber/xviz < / span > < / a > < / li > < li > XVIZ official documents: < span > https://xviz.readthedocs.io/en/latest/ < / span > < / a > < / li > < li > AVS official documents: < a href = "https://avs.auto/#/docs/home" target = "_blank" > < span > https://avs.auto/#/docs/home < / span > < / a > < br / > among them, The official documentation for XVIZ provides a detailed introduction to the XVIZ data format, data protocols, and visualization specifications, as well as code samples and API references for the XVIZ client API.

GitHub introduction

GitHub:
XVIZ is a tool for visualizing and exploring three-dimensional Spaces that helps developers create more readable visualizations in virtual reality, simulation, and real-time applications. XVIZ offers a range of visualization tools, including 3D maps, 3D graphics, 3D markup, and more. XVIZ provides a series of apis to help developers quickly build visual applications, including:

• XVIZ API: The XVIZ API helps developers quickly build visual applications by converting source data into an XVIZ format that can be used by XVIZ visualization tools.

• XVIZ Stream API: The XVIZ Stream API helps developers collect data from real-time data sources and convert it into an XVIZ format that can be used by XVIZ visualization tools.

• XVIZ Scene API: The XVIZ Scene API helps developers collect data from static data sources and convert it into an XVIZ format that can be used by XVIZ visualization tools.

• XVIZ Viewer API: The XVIZ Viewer API helps developers create Web-based XVIZ visualization applications that display XVIZ data in the browser.

• XVIZ Geospatial API: The XVIZ Geospatial API helps developers display geographic information in XVIZ scenes, including streets, cities, countries, and more.

• XVIZ Annotation API: The XVIZ Annotation API helps developers add annotations to XVIZ scenes to better understand and explore the information in the scene.

The following is a detailed description of XVIZ related functional modules and apis:
(1) xviz-json: This is the core module of XVIZ data format. It defines the basic structure of the XVIZ file, including header information, metadata, entities, layers, styles, actions, and so on. Xviz-json also provides apis for writing and parsing XVIZ files.
(2) Xviz-Builder: This is a tool for building XVIZ files, which is based on the Xviz-json module and provides some quick apis for converting sensor data into entities and styles in XVIZ format and then writing them into XVIZ files.
(3) xviz-play: This is a tool for playing XVIZ files. It provides a visual interface for displaying sensor data and scene information in XVIZ files. Xviz-play also provides apis for writing custom XVIZ players.
(4) xviz-server: This is a WebSocket-based Server used to send XVIZ data to clients. It can convert real-time sensor data into XVIZ format and push it to the client in real time. Xviz-server also provides apis for writing custom XVIZ data pusher.
(5) xviz-ros: This is a tool for converting ROS(Robot Operating System) messages into XVIZ format. It provides quick apis for converting ROS messages into XVIZ format entities and styles.

Monster Group and Gpt-based tune-up:
XVIZ is a JSON-based format for describing the visual and interactive representation of sensor data and map data from autonomous vehicles. It is part of AVS(Autonomous Visualization System), an open standard that helps autonomous vehicle developers visualize and analyze vehicle sensor data.

XVIZ contains the following functional modules:

• Data Format - XVIZ defines a JSON-based data format for describing sensor data and map data for autonomous vehicles. This format can interact with different visualization and analysis tools, making it easier to share and visualize data.

• Visualization tools - XVIZ supports a variety of visualization tools, including open source Deck.gl, kepler.gl and Luma.gl. These tools can visualize XVIZ data as maps, 3D scenes, or other forms.

• Data analysis - XVIZ can support a variety of data analysis methods, including time series data analysis, 3D modeling and visualization, data mining, and machine learning. These methods can help developers understand patterns and trends in sensor data and mapping data to help improve the performance of self-driving cars.

XVIZ includes the following:

• JavaScript API - XVIZ provides a JavaScript API to access XVIZ data directly in the browser. The API interacts with React and other JavaScript frameworks, making it easier for developers to integrate XVIZ data into their applications.

• Python API - XVIZ Also provides a Python API for writing scripts in Python to read and process XVIZ data. This API interacts with Python tools such as Jupyter Notebook, making data analysis and visualization easier for developers.
  In summary, XVIZ is an open standard that can help autonomous vehicle developers visualize and analyze vehicle sensor data. It includes data formats, visualization tools, and data analysis modules, as well as a JavaScript API and a Python API for easy developer use and integration.

This answer quotes chatGPT

Visualization: XVIZ provides a series of visualization apis to help developers quickly build visual applications. XVIZ's visualization API helps developers quickly build visual applications that support multiple visualization modes such as point clouds, wireframing, shading, textures, and more.
Data Processing: XVIZ provides a series of data processing apis to help developers quickly process real-time 3D data. XVIZ's data processing API helps developers quickly process real-time 3D data, supporting multiple data processing modes such as point cloud filtering, point cloud clustering, point cloud segmentation, and more.
Interactive Analysis: XVIZ provides a series of interactive analysis apis to help developers quickly build interactive analysis applications. XVIZ's interactive analysis API helps developers quickly build interactive analysis applications, supporting multiple interactive analysis modes such as click query, heat map analysis, path analysis, and more.
Visualization Tools: XVIZ provides a range of visualization tools to help developers quickly build visual applications. XVIZ's visualization tools help developers quickly build visual applications, supporting a variety of visualization tools such as zooming, rotating, panning, dragging, and more.

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