MrPiglr
9dddce666d
- Forked from Godot Engine 4.7-dev (MIT License) - Rebranded to AeThex Engine with cyan/purple theme - Added AI-powered development assistant module - Integrated Claude API for code completion & error fixing - Custom hexagon logo and branding - Multi-platform CI/CD (Windows, Linux, macOS) - Built Linux editor binary (151MB) - Complete source code with all customizations Tech Stack: - C++ game engine core - AI Module: Claude 3.5 Sonnet integration - Build: SCons, 14K+ source files - License: MIT (Godot) + Custom (AeThex features) Ready for Windows build via GitHub Actions!
42 lines
2.6 KiB
XML
42 lines
2.6 KiB
XML
<?xml version="1.0" encoding="UTF-8" ?>
|
|
<class name="AudioEffectSpectrumAnalyzer" inherits="AudioEffect" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:noNamespaceSchemaLocation="../class.xsd">
|
|
<brief_description>
|
|
Audio effect that can be used for real-time audio visualizations.
|
|
</brief_description>
|
|
<description>
|
|
This audio effect does not affect sound output, but can be used for real-time audio visualizations.
|
|
This resource configures an [AudioEffectSpectrumAnalyzerInstance], which performs the actual analysis at runtime. An instance can be obtained with [method AudioServer.get_bus_effect_instance].
|
|
See also [AudioStreamGenerator] for procedurally generating sounds.
|
|
</description>
|
|
<tutorials>
|
|
<link title="Audio Spectrum Visualizer Demo">https://godotengine.org/asset-library/asset/2762</link>
|
|
</tutorials>
|
|
<members>
|
|
<member name="buffer_length" type="float" setter="set_buffer_length" getter="get_buffer_length" default="2.0">
|
|
The length of the buffer to keep (in seconds). Higher values keep data around for longer, but require more memory.
|
|
</member>
|
|
<member name="fft_size" type="int" setter="set_fft_size" getter="get_fft_size" enum="AudioEffectSpectrumAnalyzer.FFTSize" default="2">
|
|
The size of the [url=https://en.wikipedia.org/wiki/Fast_Fourier_transform]Fast Fourier transform[/url] buffer. Higher values smooth out the spectrum analysis over time, but have greater latency. The effects of this higher latency are especially noticeable with sudden amplitude changes.
|
|
</member>
|
|
</members>
|
|
<constants>
|
|
<constant name="FFT_SIZE_256" value="0" enum="FFTSize">
|
|
Use a buffer of 256 samples for the Fast Fourier transform. Lowest latency, but least stable over time.
|
|
</constant>
|
|
<constant name="FFT_SIZE_512" value="1" enum="FFTSize">
|
|
Use a buffer of 512 samples for the Fast Fourier transform. Low latency, but less stable over time.
|
|
</constant>
|
|
<constant name="FFT_SIZE_1024" value="2" enum="FFTSize">
|
|
Use a buffer of 1024 samples for the Fast Fourier transform. This is a compromise between latency and stability over time.
|
|
</constant>
|
|
<constant name="FFT_SIZE_2048" value="3" enum="FFTSize">
|
|
Use a buffer of 2048 samples for the Fast Fourier transform. High latency, but stable over time.
|
|
</constant>
|
|
<constant name="FFT_SIZE_4096" value="4" enum="FFTSize">
|
|
Use a buffer of 4096 samples for the Fast Fourier transform. Highest latency, but most stable over time.
|
|
</constant>
|
|
<constant name="FFT_SIZE_MAX" value="5" enum="FFTSize">
|
|
Represents the size of the [enum FFTSize] enum.
|
|
</constant>
|
|
</constants>
|
|
</class>
|