Python库 | streamlit-webrtc-0.8.0.tar.gz

# streamlit-webrtc [](https://github.com/whitphx/streamlit-webrtc/actions?query=workflow%3ATests+branch%3Amaster) [](https://github.com/whitphx/streamlit-webrtc/actions?query=workflow%3A%22Frontend+tests%22+branch%3Amaster) [](https://pypi.org/project/streamlit-webrtc/) [](https://pypi.org/project/streamlit-webrtc/) [](https://pypi.org/project/streamlit-webrtc/) [](https://pypi.org/project/streamlit-webrtc/) [](https://github.com/sponsors/whitphx) <a href="https://www.buymeacoffee.com/whitphx" target="_blank"><img src="https://cdn.buymeacoffee.com/buttons/v2/default-yellow.png" alt="Buy Me A Coffee" width="180" height="50" ></a> ## Example [](https://share.streamlit.io/whitphx/streamlit-webrtc-example/main/app.py) You can try out the sample app using the following commands. ``` $ pip install streamlit-webrtc opencv-python $ streamlit run https://raw.githubusercontent.com/whitphx/streamlit-webrtc-example/main/app.py ``` You can also try it out on [Streamlit Sharing](https://share.streamlit.io/whitphx/streamlit-webrtc-example/main/app.py). The deployment of this sample app is managed in this repository: https://github.com/whitphx/streamlit-webrtc-example/. ## Tutorial [This post](https://dev.to/whitphx/build-a-web-based-real-time-computer-vision-app-with-streamlit-57l2) explains how to use `streamlit-webrtc` to build a real-time computer vision app.