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Real-time browser-ready computer vision apps with Streamlit

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Real-time browser-ready computer vision apps with Streamlit
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I am the author of `streamlit-webrtc` and a member of the Streamlit Creators program (https://streamlit.io/creators) (selected community members). The repository of `streamlit-webrtc` is here: https://github.com/whitphx/streamlit-webrtc My lightning talk about `streamlit-webrtc` at PyCon JP 2021 is available: https://youtu.be/_LuLs8H1gJc Articles about this library: * Developing Web-Based Real-Time Video/Audio Processing Apps Quickly with Streamlit: https://towardsdatascience.com/developing-web-based-real-time-video-audio-processing-apps-quickly-with-streamlit-7c7bcd0bc5a8 * Real-Time Video Streams With Streamlit-WebRTC: https://betterprogramming.pub/real-time-video-streams-with-streamlit-webrtc-bd38d15f2ef3 As linked from the repo, demo apps I have developed are available online: * Demo showcase including real-time object detection: https://share.streamlit.io/whitphx/streamlit-webrtc-example/main/app.py * Source code: https://github.com/whitphx/streamlit-webrtc-example/blob/main/app.py * Real-time Speech-to-Text: https://share.streamlit.io/whitphx/streamlit-stt-app/main/app_deepspeech.py * Source code: https://github.com/whitphx/streamlit-stt-app * Real-time style transfer: https://share.streamlit.io/whitphx/style-transfer-web-app/main/app.py * Source code: https://share.streamlit.io/whitphx/style-transfer-web-app/main/app.py * Real-time Tokyo 2020 Pictogram: https://share.streamlit.io/whitphx/tokyo2020-pictogram-using-mediapipe/streamlit-app * Source code: https://github.com/whitphx/Tokyo2020-Pictogram-using-MediaPipe * Video chat: online demo is not available because it does not have an auth mechanism and is only for private use. * Source code: https://github.com/whitphx/streamlit-video-chat-example