SPOUT/SYPHON to QLC?
Posted: Fri Apr 15, 2016 6:22 pm
So I'm wondering if there will ever be a plugin or feature created to support bringing in video signals via SPOUT (for Windows) or SYPHON (MAC)?
The way I see it, it's openly available freeware and writing a simple receiver plugin shouldn't be too difficult. I've already toyed with my own Processing applet I wrote to take a SPOUT signal from Resolume and sample a matrix of pixels and push them (via SPI) to a series of WS2812B led's (in matrix formation).
You could easily take the received SPOUT/SYPHON signal coming into QLC+ and downscale/sample it for whatever resolution your RGB matrix is. This would make creation of dynamic patterns a breeze and would allow people to utilize external video control software for mapping/patterns (Resolume has some fantastic generative source effects) and would be an open source solution.
Just my thoughts. What is the protocol for plugin/feature creation in QLC+. I don't have a huge amount of experience with programming, just some Processing and Python apps, but would be willing to assist in development and conceptualization of this feature.
The way I see it, it's openly available freeware and writing a simple receiver plugin shouldn't be too difficult. I've already toyed with my own Processing applet I wrote to take a SPOUT signal from Resolume and sample a matrix of pixels and push them (via SPI) to a series of WS2812B led's (in matrix formation).
You could easily take the received SPOUT/SYPHON signal coming into QLC+ and downscale/sample it for whatever resolution your RGB matrix is. This would make creation of dynamic patterns a breeze and would allow people to utilize external video control software for mapping/patterns (Resolume has some fantastic generative source effects) and would be an open source solution.
Just my thoughts. What is the protocol for plugin/feature creation in QLC+. I don't have a huge amount of experience with programming, just some Processing and Python apps, but would be willing to assist in development and conceptualization of this feature.