Interactive Demonstration of EVA
Interactive Demonstration of EVA
复制标题
DOI：
10.14778/3611540.3611626
复制
发表时间：
2023-08
期刊：
影响因子：
--
通讯作者：
Gaurav Tarlok Kakkar;Aryan Rajoria;Myna Prasanna Kalluraya;Ashmita Raju;Jiashen Cao;Kexin Rong;Joy Arulraj
中科院分区：
文献类型：
--
作者：
Gaurav Tarlok Kakkar;Aryan Rajoria;Myna Prasanna Kalluraya;Ashmita Raju;Jiashen Cao;Kexin Rong;Joy Arulraj
在这个演示中，我们将介绍伊娃，一个端到端的AI关系数据库管理系统。我们将使用三种使用场景演示伊娃的功能和实用性：（1）伊娃作为使用Streamlit和React开发的探索性视频分析界面的后端，（2）伊娃与Python和数据科学生态系统无缝集成，允许用户在Python笔记本中访问伊娃以及其他流行的库，如Pandas和Matplotlib，和（3）伊娃便于使用Label Studio（一种广泛使用的标签框架）进行批量标签。通过优化复杂的视觉查询，我们说明了伊娃如何允许广泛的应用程序开发人员利用计算机视觉的最新进展。
In this demonstration, we will present EVA, an end-to-end AI-Relational database management system. We will demonstrate the capabilities and utility of EVA using three usage scenarios: (1) EVA serves as a backend for an exploratory video analytics interface developed using Streamlit and React, (2) EVA seamlessly integrates with the Python and Data Science ecosystems by allowing users to access EVA in a Python notebook alongside other popular libraries such as Pandas and Matplotlib, and (3) EVA facilitates bulk labeling with Label Studio, a widely-used labeling framework. By optimizing complex vision queries, we illustrate how EVA allows a wide range of application developers to harness the recent advances in computer vision.