#audiovisualization — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #audiovisualization, aggregated by home.social.
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🎨 kde-desktop-background-libvisual v1.2.0 released!
20 audio-reactive visualization types for KDE Plasma 6 desktop background — now including ProjectM (type 19): Milkdrop-compatible GPU presets via libprojectM, 4000+ presets, full Wayland/EGL support out of the box.
✨ New in 1.2.0:
• ProjectM visualization — GPU preset rendering on the render thread
• Preset selector, shuffle & duration controls in config dialog
• Async PulseAudio/PipeWire backend (pa_threaded_mainloop + pa_stream)
• Native device enumeration, monitor sources filtered out
• GLSL Mandelbrot shader (type 15)📦 .deb for Debian/Ubuntu/KDE Neon attached to the release.
🔗 https://github.com/VitexSoftware/kde-desktop-background-libvisual/releases/tag/v1.2.0
#KDE #Plasma #Linux #OpenSource #AudioVisualization #Wayland #ProjectM #Qt
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🎨 kde-desktop-background-libvisual v1.2.0 released!
20 audio-reactive visualization types for KDE Plasma 6 desktop background — now including ProjectM (type 19): Milkdrop-compatible GPU presets via libprojectM, 4000+ presets, full Wayland/EGL support out of the box.
✨ New in 1.2.0:
• ProjectM visualization — GPU preset rendering on the render thread
• Preset selector, shuffle & duration controls in config dialog
• Async PulseAudio/PipeWire backend (pa_threaded_mainloop + pa_stream)
• Native device enumeration, monitor sources filtered out
• GLSL Mandelbrot shader (type 15)📦 .deb for Debian/Ubuntu/KDE Neon attached to the release.
🔗 https://github.com/VitexSoftware/kde-desktop-background-libvisual/releases/tag/v1.2.0
#KDE #Plasma #Linux #OpenSource #AudioVisualization #Wayland #ProjectM #Qt
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🎨 kde-desktop-background-libvisual v1.2.0 released!
20 audio-reactive visualization types for KDE Plasma 6 desktop background — now including ProjectM (type 19): Milkdrop-compatible GPU presets via libprojectM, 4000+ presets, full Wayland/EGL support out of the box.
✨ New in 1.2.0:
• ProjectM visualization — GPU preset rendering on the render thread
• Preset selector, shuffle & duration controls in config dialog
• Async PulseAudio/PipeWire backend (pa_threaded_mainloop + pa_stream)
• Native device enumeration, monitor sources filtered out
• GLSL Mandelbrot shader (type 15)📦 .deb for Debian/Ubuntu/KDE Neon attached to the release.
🔗 https://github.com/VitexSoftware/kde-desktop-background-libvisual/releases/tag/v1.2.0
#KDE #Plasma #Linux #OpenSource #AudioVisualization #Wayland #ProjectM #Qt
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🎨 kde-desktop-background-libvisual v1.2.0 released!
20 audio-reactive visualization types for KDE Plasma 6 desktop background — now including ProjectM (type 19): Milkdrop-compatible GPU presets via libprojectM, 4000+ presets, full Wayland/EGL support out of the box.
✨ New in 1.2.0:
• ProjectM visualization — GPU preset rendering on the render thread
• Preset selector, shuffle & duration controls in config dialog
• Async PulseAudio/PipeWire backend (pa_threaded_mainloop + pa_stream)
• Native device enumeration, monitor sources filtered out
• GLSL Mandelbrot shader (type 15)📦 .deb for Debian/Ubuntu/KDE Neon attached to the release.
🔗 https://github.com/VitexSoftware/kde-desktop-background-libvisual/releases/tag/v1.2.0
#KDE #Plasma #Linux #OpenSource #AudioVisualization #Wayland #ProjectM #Qt
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🎨 kde-desktop-background-libvisual v1.2.0 released!
20 audio-reactive visualization types for KDE Plasma 6 desktop background — now including ProjectM (type 19): Milkdrop-compatible GPU presets via libprojectM, 4000+ presets, full Wayland/EGL support out of the box.
✨ New in 1.2.0:
• ProjectM visualization — GPU preset rendering on the render thread
• Preset selector, shuffle & duration controls in config dialog
• Async PulseAudio/PipeWire backend (pa_threaded_mainloop + pa_stream)
• Native device enumeration, monitor sources filtered out
• GLSL Mandelbrot shader (type 15)📦 .deb for Debian/Ubuntu/KDE Neon attached to the release.
🔗 https://github.com/VitexSoftware/kde-desktop-background-libvisual/releases/tag/v1.2.0
#KDE #Plasma #Linux #OpenSource #AudioVisualization #Wayland #ProjectM #Qt
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Descubra um experimento visual-sonoro: "testewaveformvideo" mostra formas de onda em ação — hipnótico, simples e perfeito para quem ama som e imagem. Ideal para inspiração técnica ou relaxar com visualizações de áudio. Dê uma olhada e conte o que achou! #PeerTube #VideoArt #Waveform #AudioVisualization #SoundDesign #Experimental #Portuguese #FPLSounds
https://vibeos.grampajoe.online/videos/watch/f512e70d-32ed-4ad8-995f-d9a1c630429f -
Some more screenshots of the LCOM desktop app in action...
#Genuary2024 #GenerativeArt #Vintage #StrangeAttractor #Particles #AudioResponsive #AudioVisualization #Clojure #OpenCL #OpenGL #Branding #BrandIdentity #Renderer #LCOM
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Some more screenshots of the LCOM desktop app in action...
#Genuary2024 #GenerativeArt #Vintage #StrangeAttractor #Particles #AudioResponsive #AudioVisualization #Clojure #OpenCL #OpenGL #Branding #BrandIdentity #Renderer #LCOM
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Some more screenshots of the LCOM desktop app in action...
#Genuary2024 #GenerativeArt #Vintage #StrangeAttractor #Particles #AudioResponsive #AudioVisualization #Clojure #OpenCL #OpenGL #Branding #BrandIdentity #Renderer #LCOM
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Some more screenshots of the LCOM desktop app in action...
#Genuary2024 #GenerativeArt #Vintage #StrangeAttractor #Particles #AudioResponsive #AudioVisualization #Clojure #OpenCL #OpenGL #Branding #BrandIdentity #Renderer #LCOM
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Some more screenshots of the LCOM desktop app in action...
#Genuary2024 #GenerativeArt #Vintage #StrangeAttractor #Particles #AudioResponsive #AudioVisualization #Clojure #OpenCL #OpenGL #Branding #BrandIdentity #Renderer #LCOM
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Passively participating in #Genuary2024 — Day 8 Chaotic System. In 2012/13 I designed an award-winning audioreactive brand identity system for Leeds College Of Music based on the DeJong strange attractor with tens and hundreds of millions of particles per frame. This massive almost 1 year project consisted of a Mac/PC desktop app (written in Clojure, OpenCL & OpenGL) for exploring the attractor, creating presets and scheduling render jobs for super hi-res print assets (which would take a hours to render and were the biggest image sizes I _ever_ had to deal with, up to 3x3 meters @ 150 dpi). I also had to develop an entire AWS based ad-hoc render farm and asset & user management system for the school to generate personalized video assets, allowing each student to upload their own music, handle audio FFT analysis and beat detection/mapping (all in Clojure) and to create individual sound-responsive clips for their in-school digital signage system and for sharing on social media... Most key aspects were handled via various old thi.ng libraries (e.g. https://thi.ng/simplecl for OpenCL interop). The server app also handled transcoding to dozens of video formats (via ffmpeg) and semi-automatic provisioning of EC2 machines for render/transcoding jobs...
An example video is below (music: Heyoka, Blue Towel)
#GenerativeArt #Vintage #StrangeAttractor #Particles #AudioResponsive #AudioVisualization #Clojure #OpenCL #OpenGL #Branding #BrandIdentity #Renderer #LCOM
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Passively participating in #Genuary2024 — Day 8 Chaotic System. In 2012/13 I designed an award-winning audioreactive brand identity system for Leeds College Of Music based on the DeJong strange attractor with tens and hundreds of millions of particles per frame. This massive almost 1 year project consisted of a Mac/PC desktop app (written in Clojure, OpenCL & OpenGL) for exploring the attractor, creating presets and scheduling render jobs for super hi-res print assets (which would take a hours to render and were the biggest image sizes I _ever_ had to deal with, up to 3x3 meters @ 150 dpi). I also had to develop an entire AWS based ad-hoc render farm and asset & user management system for the school to generate personalized video assets, allowing each student to upload their own music, handle audio FFT analysis and beat detection/mapping (all in Clojure) and to create individual sound-responsive clips for their in-school digital signage system and for sharing on social media... Most key aspects were handled via various old thi.ng libraries (e.g. https://thi.ng/simplecl for OpenCL interop). The server app also handled transcoding to dozens of video formats (via ffmpeg) and semi-automatic provisioning of EC2 machines for render/transcoding jobs...
An example video is below (music: Heyoka, Blue Towel)
#GenerativeArt #Vintage #StrangeAttractor #Particles #AudioResponsive #AudioVisualization #Clojure #OpenCL #OpenGL #Branding #BrandIdentity #Renderer #LCOM
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Passively participating in #Genuary2024 — Day 8 Chaotic System. In 2012/13 I designed an award-winning audioreactive brand identity system for Leeds College Of Music based on the DeJong strange attractor with tens and hundreds of millions of particles per frame. This massive almost 1 year project consisted of a Mac/PC desktop app (written in Clojure, OpenCL & OpenGL) for exploring the attractor, creating presets and scheduling render jobs for super hi-res print assets (which would take a hours to render and were the biggest image sizes I _ever_ had to deal with, up to 3x3 meters @ 150 dpi). I also had to develop an entire AWS based ad-hoc render farm and asset & user management system for the school to generate personalized video assets, allowing each student to upload their own music, handle audio FFT analysis and beat detection/mapping (all in Clojure) and to create individual sound-responsive clips for their in-school digital signage system and for sharing on social media... Most key aspects were handled via various old thi.ng libraries (e.g. https://thi.ng/simplecl for OpenCL interop). The server app also handled transcoding to dozens of video formats (via ffmpeg) and semi-automatic provisioning of EC2 machines for render/transcoding jobs...
An example video is below (music: Heyoka, Blue Towel)
#GenerativeArt #Vintage #StrangeAttractor #Particles #AudioResponsive #AudioVisualization #Clojure #OpenCL #OpenGL #Branding #BrandIdentity #Renderer #LCOM
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Passively participating in #Genuary2024 — Day 8 Chaotic System. In 2012/13 I designed an award-winning audioreactive brand identity system for Leeds College Of Music based on the DeJong strange attractor with tens and hundreds of millions of particles per frame. This massive almost 1 year project consisted of a Mac/PC desktop app (written in Clojure, OpenCL & OpenGL) for exploring the attractor, creating presets and scheduling render jobs for super hi-res print assets (which would take a hours to render and were the biggest image sizes I _ever_ had to deal with, up to 3x3 meters @ 150 dpi). I also had to develop an entire AWS based ad-hoc render farm and asset & user management system for the school to generate personalized video assets, allowing each student to upload their own music, handle audio FFT analysis and beat detection/mapping (all in Clojure) and to create individual sound-responsive clips for their in-school digital signage system and for sharing on social media... Most key aspects were handled via various old thi.ng libraries (e.g. https://thi.ng/simplecl for OpenCL interop). The server app also handled transcoding to dozens of video formats (via ffmpeg) and semi-automatic provisioning of EC2 machines for render/transcoding jobs...
An example video is below (music: Heyoka, Blue Towel)
#GenerativeArt #Vintage #StrangeAttractor #Particles #AudioResponsive #AudioVisualization #Clojure #OpenCL #OpenGL #Branding #BrandIdentity #Renderer #LCOM
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Passively participating in #Genuary2024 — Day 8 Chaotic System. In 2012/13 I designed an award-winning audioreactive brand identity system for Leeds College Of Music based on the DeJong strange attractor with tens and hundreds of millions of particles per frame. This massive almost 1 year project consisted of a Mac/PC desktop app (written in Clojure, OpenCL & OpenGL) for exploring the attractor, creating presets and scheduling render jobs for super hi-res print assets (which would take a hours to render and were the biggest image sizes I _ever_ had to deal with, up to 3x3 meters @ 150 dpi). I also had to develop an entire AWS based ad-hoc render farm and asset & user management system for the school to generate personalized video assets, allowing each student to upload their own music, handle audio FFT analysis and beat detection/mapping (all in Clojure) and to create individual sound-responsive clips for their in-school digital signage system and for sharing on social media... Most key aspects were handled via various old thi.ng libraries (e.g. https://thi.ng/simplecl for OpenCL interop). The server app also handled transcoding to dozens of video formats (via ffmpeg) and semi-automatic provisioning of EC2 machines for render/transcoding jobs...
An example video is below (music: Heyoka, Blue Towel)
#GenerativeArt #Vintage #StrangeAttractor #Particles #AudioResponsive #AudioVisualization #Clojure #OpenCL #OpenGL #Branding #BrandIdentity #Renderer #LCOM