Simplify the video streaming pipeline to provide frame by frame image manipulation in near real-time.
Simplify the video streaming pipeline to provide frame by frame image manipulation in near real-time.
Video streaming and image processing are really interesting!
This package aims to simplify the video streaming pipeline so users can focus on the more interesting parts of image processing. To learn more about how this is accomplished and the details that make up the pipeline see the docs.
The video-pipeline comes with a command line interface (CLI) that you can utilize to preview, transport, and/or modify video streams!
First you need to install the video-pipeline module from PyPI by running:
pip install video-pipeline
Once installed video-pipeline should be on your PATH.
Make sure you have vlc installed and on your PATH.
Run the following command to start streaming video from your webcam:
video-pipeline start --source os --transport tcp-server transport-host=0.0.0.0 transport-port=8000
On the same computer (or another computer on your LAN) run the following command replacing HOSTNAME with the hostname of the computer running video-pipeline.
Note: If you're running on a linux machine you can run hostname to get your HOSTNAME.
vlc "tcp/mjpeg://@HOSTNAME:8000/"
You should now see a stream of your webcam!
To learn more about the video-pipeline command line interface run video-pipeline --help.
If you have any issues questions, comments, or concerns please feel free to submit an issue to the issue tracker.
FAQs
Simplify the video streaming pipeline to provide frame by frame image manipulation in near real-time.
We found that video-pipeline demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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