Real-time browser-ready computer vision apps with Streamlit - presented by Yuichiro Tachibana
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- Опубліковано 25 жов 2022
- EuroPython 2022 - Real-time browser-ready computer vision apps with Streamlit - presented by Yuichiro Tachibana
[Liffey Hall 2 on 2022-07-14]
I am the author of `streamlit-webrtc` and a member of the Streamlit Creators program (streamlit.io/creators) (selected community members).
The repository of `streamlit-webrtc` is here: github.com/whitphx/streamlit-...
My lightning talk about `streamlit-webrtc` at PyCon JP 2021 is available: • [PyCon JP 2021] LT:Dev...
Articles about this library:
* Developing Web-Based Real-Time Video/Audio Processing Apps Quickly with Streamlit: towardsdatascience.com/develo...
* Real-Time Video Streams With Streamlit-WebRTC: betterprogramming.pub/real-ti...
As linked from the repo, demo apps I have developed are available online:
* Demo showcase including real-time object detection: share.streamlit.io/whitphx/st...
* Source code: github.com/whitphx/streamlit-...
* Real-time Speech-to-Text: share.streamlit.io/whitphx/st...
* Source code: github.com/whitphx/streamlit-...
* Real-time style transfer: share.streamlit.io/whitphx/st...
* Source code: share.streamlit.io/whitphx/st...
* Real-time Tokyo 2020 Pictogram: share.streamlit.io/whitphx/to...
* Source code: github.com/whitphx/Tokyo2020-...
* Video chat: online demo is not available because it does not have an auth mechanism and is only for private use.
* Source code: github.com/whitphx/streamlit-...
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License creativecommons.org/licenses/b... - Наука та технологія