pyvirtualcam
| outfield | pyvirtualcam | |
|---|---|---|
| 1 | 6 | |
| - | 435 | |
| - | - | |
| - | 6.3 | |
| - | 3 months ago | |
| C++ | ||
| - | GNU General Public License v3.0 only |
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outfield
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OBS Studio 27.1.1
Check for OBS-Websocket, personally I use Outfield (on Android) to control when to start and stop recording/streaming, as well as switching to a different scene.
https://github.com/Palakis/obs-websocket
https://gitlab.com/Hague/outfield
pyvirtualcam
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What are some Python scripts have u made for fun and daily life?
There is this project. You could probably also use openCV.
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How to edit frames from camera input and output them into meeting app?
The parent it seems you’re missing right now is the virtual cam. This is the repo that the OP linked. There’s another package too, pyvirtualcam. Both require you to install the actual virtual camera binary to your computer where the package simply routes your edited frames to the camera.
- OBS Studio 27.1.1
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A library for python virtual microphone input
Just like we have pyfakecam do we have a similar library for real-time audio? Actually, I need to manipulate the audio input from the microphone and send it to the webrtc in form of microphone input. pyfakecam works seamlessly with opencv and I can easily manipulate live camera input and create a virtual camera for it. But same is not possible for audio input.
What are some alternatives?
obs-websocket - Remote-control of OBS Studio through WebSocket
v4l2loopback - v4l2-loopback device
webcamoid - Webcamoid is a full featured and multiplatform webcam suite.
obs-studio - OBS Studio - Free and open source software for live streaming and screen recording
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration
BlackHole - BlackHole is a modern macOS audio loopback driver that allows applications to pass audio to other applications with zero additional latency.
virtualvideo - virtualvideo allows you to write simple programs that feed images to a v4l2loopback device
LightGBM - A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.