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kandi X-RAY | streamlink.github.io Summary

streamlink.github.io is a HTML library. streamlink.github.io has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

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streamlink.github.io has a low active ecosystem.

It has 19 star(s) with 9 fork(s). There are 17 watchers for this library.

It had no major release in the last 6 months.

streamlink.github.io has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of streamlink.github.io is current.

Quality

streamlink.github.io has no bugs reported.

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streamlink.github.io has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

streamlink.github.io does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

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streamlink.github.io releases are not available. You will need to build from source code and install.

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Community Discussions

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Streamlink Streamdata processing in OpenCV Python

QUESTION

Streamlink Streamdata processing in OpenCV Python

Asked 2018-May-29 at 06:29

I'm trying to read a twitch stream via streamlink (https://streamlink.github.io/api_guide.html) into OpenCV for further processing in Python.

What works, reading the stream into a stream.ts file via popen and then into opencv:

...

ANSWER

Answered 2018-May-29 at 06:29

Hi guys sorry for the late response but, I‘ve figured it out. Hope this helps some future folks.

It was quite tricky to accomplish with reasonable performance, though.

Check out the project: https://github.com/DanielTea/rage-analytics/blob/master/README.md

The main file is realtime_Videostreamer.py in the engine folder. If you initialize this object it creates an ffmpeg subprocess and fills a queue with video frames in an extra thread. This architecture prevents the mainthread from blocking so depending on your networkspeed and cpu power a couple streams can be analyzed in parallel.

This solution works with twitch streams very well. Didn’t try out other streaming sites.

More info about this project: https://seesoundcomputing.wordpress.com

Source https://stackoverflow.com/questions/47925688

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