LedFx/ledfx/effects/scroll(Reactive).py

116 lines
4.1 KiB
Python

import numpy as np
import voluptuous as vol
from ledfx.color import COLORS
from ledfx.effects.audio import AudioReactiveEffect
class ScrollAudioEffect(AudioReactiveEffect):
NAME = "Scroll"
CONFIG_SCHEMA = vol.Schema(
{
vol.Optional(
"blur",
description="Amount to blur the effect",
default=3.0,
): vol.All(vol.Coerce(float), vol.Range(min=0.0, max=10)),
vol.Optional(
"mirror",
description="Mirror the effect",
default=True,
): bool,
vol.Optional(
"speed", description="Speed of the effect", default=5
): vol.All(vol.Coerce(int), vol.Range(min=1, max=10)),
vol.Optional(
"decay",
description="Decay rate of the scroll",
default=0.97,
): vol.All(vol.Coerce(float), vol.Range(min=0.8, max=1.0)),
vol.Optional(
"threshold",
description="Cutoff for quiet sounds. Higher -> only loud sounds are detected",
default=0.0,
): vol.All(vol.Coerce(float), vol.Range(min=0, max=1)),
vol.Optional(
"color_lows",
description="Color of low, bassy sounds",
default="red",
): vol.In(list(COLORS.keys())),
vol.Optional(
"color_mids",
description="Color of midrange sounds",
default="green",
): vol.In(list(COLORS.keys())),
vol.Optional(
"color_high",
description="Color of high sounds",
default="blue",
): vol.In(list(COLORS.keys())),
}
)
def config_updated(self, config):
# TODO: Determine how buffers based on the pixels should be
# allocated. Technically there is no guarantee that the effect
# is bound to a device while the config gets updated. Might need
# to move to a model where effects are created for a device and
# must be destroyed and recreated to be moved to another device.
self.output = None
self.lows_colour = np.array(
COLORS[self._config["color_lows"]], dtype=float
)
self.mids_colour = np.array(
COLORS[self._config["color_mids"]], dtype=float
)
self.high_colour = np.array(
COLORS[self._config["color_high"]], dtype=float
)
self.lows_cutoff = self._config["threshold"]
self.mids_cutoff = self._config["threshold"] / 4
self.high_cutoff = self._config["threshold"] / 7
def audio_data_updated(self, data):
if self.output is None:
self.output = self.pixels
# Divide the melbank into lows, mids and highs
lows_max = np.clip(np.max(data.melbank_lows() ** 2), 0, 1)
mids_max = np.clip(np.max(data.melbank_mids() ** 2), 0, 1)
highs_max = np.clip(np.max(data.melbank_highs() ** 2), 0, 1)
if lows_max < self.lows_cutoff:
lows_max = 0
if mids_max < self.mids_cutoff:
mids_max = 0
if highs_max < self.high_cutoff:
highs_max = 0
# Compute the value for each range based on the max
# lows_val = (np.array((255,0,0)) * lows_max)
# mids_val = (np.array((0,255,0)) * mids_max)
# high_val = (np.array((0,0,255)) * highs_max)
# Roll the effect and apply the decay
speed = self.config["speed"]
self.output[speed:, :] = self.output[:-speed, :]
self.output = self.output * self.config["decay"]
# Add in the new color from the signal maxes
# self.output[:speed, 0] = lows_val[0] + mids_val[0] + high_val[0]
# self.output[:speed, 1] = lows_val[1] + mids_val[1] + high_val[1]
# self.output[:speed, 2] = lows_val[2] + mids_val[2] + high_val[2]
self.output[:speed] = self.lows_colour * lows_max
self.output[:speed] += self.mids_colour * mids_max
self.output[:speed] += self.high_colour * highs_max
# Set the pixels
self.pixels = self.output