Real-time browser-ready computer vision apps with Streamlit

Yuichiro Tachibana

Yuichiro Tachibana

Yuichiro works as a professional software developer and also loves contributing to OSS projects. As a Pythonista, he has participated in various projects including web development, multimedia streaming, data management, computer vision, and machine learning.

    Abstract

    By using Streamlit and streamlit-webrtc, we can create web-based real-time computer vision apps only with ~10 or 20 additional lines of Python code. It's a new easy way to turn computer vision models into web-based demos and has some advantages over the conventional ways which use OpenCV. In this talk, I will demonstrate the development process using these libraries and show a variety of examples so that we see how easy and useful they are and can make use of them in daily development and research.

    Description

    Video

    Location

    R2

    Date

    Day 1 • 12:55-13:25 (GMT+8)

    Language

    English talk

    Level

    Intermediate

    Category

    Other