from __future__ import print_function from __future__ import division from scipy.ndimage.filters import gaussian_filter1d from collections import deque import time import sys import numpy as np import config import microphone import dsp import led import random if config.USE_GUI: from qrangeslider import QRangeSlider from qfloatslider import QFloatSlider import pyqtgraph as pg from PyQt5.QtCore import * from PyQt5.QtWidgets import * class Visualizer(): def __init__(self): # Dictionary linking names of effects to their respective functions self.effects = {"Scroll":self.visualize_scroll, "Energy":self.visualize_energy, "Spectrum":self.visualize_spectrum, "Power":self.visualize_power, "Wavelength":self.visualize_wavelength, "Beat":self.visualize_beat, "Wave":self.visualize_wave, "Bars":self.visualize_bars, "Single":self.visualize_single, "Fade":self.visualize_fade, "Gradient":self.visualize_gradient} #"Auto":self.visualize_auto} # Collection of different colour in RGB format self.colors = {"Red":(255,0,0), "Orange":(255,40,0), "Yellow":(255,255,0), "Green":(0,255,0), "Blue":(0,0,255), "Light blue":(1,247,161), "Purple":(80,5,252), "Pink":(255,0,178), "White":(255,255,255)} # List of all the visualisation effects that aren't audio reactive. # These will still display when no music is playing. self.non_reactive_effects = ["Single", "Gradient", "Fade"] # List of names of multicolour gradients, used in various effects self.multicolor_mode_names = ["Spectral", "Dancefloor", "Brilliance", "Jungle", "Sky", "Acid", "Ocean"] # The currently selected effect self.current_effect = "Wavelength" # Setup for frequency detection algorithm self.freq_channel_history = 40 self.beat_count = 0 self.freq_channels = [deque(maxlen=self.freq_channel_history) for i in range(config.N_FFT_BINS)] self.prev_output = np.array([[0 for i in range(config.N_PIXELS)] for i in range(3)]) self.prev_spectrum = [0 for i in range(config.N_PIXELS//2)] self.current_freq_detects = {"beat":False, "low":False, "mid":False, "high":False} self.prev_freq_detects = {"beat":0, "low":0, "mid":0, "high":0} self.detection_ranges = {"beat":(0,int(config.N_FFT_BINS*0.13)), "low":(int(config.N_FFT_BINS*0.15),int(config.N_FFT_BINS*0.4)), "mid":(int(config.N_FFT_BINS*0.4),int(config.N_FFT_BINS*0.7)), "high":(int(config.N_FFT_BINS*0.8),int(config.N_FFT_BINS))} self.min_detect_amplitude = {"beat":0.7, "low":0.5, "mid":0.3, "high":0.3} self.min_percent_diff = {"beat":100, "low":100, "mid":50, "high":30} # Configurable options for effects go in this dictionary. # Usage: self.effect_opts[effect][option] self.effect_opts = {"Energy":{"blur": 1, # Amount of blur to apply "scale":0.9}, # Width of effect on strip "Wave":{"color_wave": "Red", # Colour of moving bit "color_flash": "White", # Colour of flashy bit "wipe_len":5, # Initial length of colour bit after beat "decay": 0.7, # How quickly the flash fades away "wipe_speed":2}, # Number of pixels added to colour bit every frame "Wavelength":{"roll_speed": 0, # How fast (if at all) to cycle colour overlay across strip "color_mode": "Spectral", # Colour gradient to display "mirror": False, # Reflect output down centre of strip "reverse_grad": False, # Flip (LR) gradient "reverse_roll": False, # Reverse movement of gradient roll "blur": 3.0, # Amount of blur to apply "flip_lr":False}, # Flip output left-right "Scroll":{"decay": 0.95, # How quickly the colour fades away as it moves "blur": 0.2}, # Amount of blur to apply "Power":{"color_mode": "Spectral", # Colour gradient to display "s_count": config.N_PIXELS//6, # Initial number of sparks "s_color": "White", # Color of sparks "mirror": False, # Mirror output down central axis "flip_lr":False}, # Flip output left-right "Single":{"color": "Red"}, # Static color to show "Beat":{"color": "Red", # Colour of beat flash "decay": 0.7}, # How quickly the flash fades away "Bars":{"resolution":4, # Number of "bars" "color_mode":"Spectral", # Multicolour mode to use "roll_speed":0, # How fast (if at all) to cycle colour colours across strip "mirror": False, # Mirror down centre of strip #"reverse_grad": False, # Flip (LR) gradient "reverse_roll": False, # Reverse movement of gradient roll "flip_lr":False}, # Flip output left-right "Gradient":{"color_mode":"Spectral", # Colour gradient to display "roll_speed": 0, # How fast (if at all) to cycle colour colours across strip "mirror": False, # Mirror gradient down central axis "reverse": False}, # Reverse movement of gradient "Fade":{"color_mode":"Spectral", # Colour gradient to fade through "roll_speed": 1, # How fast (if at all) to fade through colours "reverse": False} # Reverse "direction" of fade (r->g->b or r<-g<-b) } # Configurations for dynamic ui generation. Effect options can be changed by widgets created at runtime, # meaning that you don't need to worry about the user interface - it's all done for you. All you need to # do is add items to this dict below. # # First line of code below explained (as an example): # "Energy" is the visualization we're doing options for # "blur" is the key in the options dict (self.effect_opts["Energy"]["blur"]) # "Blur" is the string we show on the GUI next to the slider # "float_slider" is the GUI element we want to use # (0.1,4.0,0.1) is a tuple containing all the details for setting up the slider (see above) # # Each effect key points to a list. Each list contains lists giving config for each option. # Syntax: effect:[key, label_text, ui_element, opts] # effect - the effect which you want to change options for. MUST have a key in self.effect_opts # key - the key of thing you want to be changed. MUST be in self.effect_opts[effect], otherwise it won't work. # label - the text displayed on the ui # ui_element - how you want the variable to be changed # opts - options for the ui element. Must be a tuple. # UI Elements + opts: # slider, (min, max, interval) (for integer values in a given range) # float_slider, (min, max, interval) (for floating point values in a given range) # checkbox, () (for True/False values) # dropdown, (dict or list) (dict/list, example see below. Keys will be displayed in the dropdown if dict, otherwise just list items) # # Hope this clears things up a bit for you! GUI has never been easier..? The reason for doing this is # 1 - To make it easy to add options to your effects for the user # 2 - To give a consistent GUI for the user. If every options page was set out differently it would all be a mess self.dynamic_effects_config = {"Energy":[["blur", "Blur", "float_slider", (0.1,4.0,0.1)], ["scale", "Scale", "float_slider", (0.4,1.0,0.05)]], "Wave":[["color_flash", "Flash Color", "dropdown", self.colors], ["color_wave", "Wave Color", "dropdown", self.colors], ["wipe_len", "Wave Start Length", "slider", (0,config.N_PIXELS//4,1)], ["wipe_speed", "Wave Speed", "slider", (1,10,1)], ["decay", "Flash Decay", "float_slider", (0.1,1.0,0.05)]], "Wavelength":[["color_mode", "Color Mode", "dropdown", self.multicolor_mode_names], ["roll_speed", "Roll Speed", "slider", (0,8,1)], ["blur", "Blur", "float_slider", (0.1,4.0,0.1)], ["mirror", "Mirror", "checkbox"], ["reverse_grad", "Reverse Gradient", "checkbox"], ["reverse_roll", "Reverse Roll", "checkbox"], ["flip_lr", "Flip LR", "checkbox"]], "Scroll":[["blur", "Blur", "float_slider", (0.05,4.0,0.05)], ["decay", "Decay", "float_slider", (0.95,1.0,0.005)]], "Power":[["color_mode", "Color Mode", "dropdown", self.multicolor_mode_names], ["s_color", "Spark Color ", "dropdown", self.colors], ["s_count", "Spark Amount", "slider", (0,config.N_PIXELS//6,1)], ["mirror", "Mirror", "checkbox"], ["flip_lr", "Flip LR", "checkbox"]], "Single":[["color", "Color", "dropdown", self.colors]], "Beat":[["color", "Color", "dropdown", self.colors], ["decay", "Flash Decay", "float_slider", (0.3,0.98,0.005)]], "Bars":[["color_mode", "Color Mode", "dropdown", self.multicolor_mode_names], ["resolution", "Resolution", "slider", (1, config.N_FFT_BINS, 1)], ["roll_speed", "Roll Speed", "slider", (0,8,1)], ["flip_lr", "Flip LR", "checkbox"], ["mirror", "Mirror", "checkbox"], ["reverse_roll", "Reverse Roll", "checkbox"]], "Gradient":[["color_mode", "Color Mode", "dropdown", self.multicolor_mode_names], ["roll_speed", "Roll Speed", "slider", (0,8,1)], ["mirror", "Mirror", "checkbox"], ["reverse", "Reverse", "checkbox"]], "Fade":[["color_mode", "Color Mode", "dropdown", self.multicolor_mode_names], ["roll_speed", "Fade Speed", "slider", (0,8,1)], ["reverse", "Reverse", "checkbox"]] } # Setup for latency timer self.latency_deque = deque(maxlen=10) # Setup for "Wave" (don't change these) self.wave_wipe_count = 0 # Setup for "Power" (don't change these) self.power_indexes = [] self.power_brightness = 0 # Setup for multicolour modes (don't mess with this either unless you want to add in your own multicolour modes) # If there's a multicolour mode you would like to see, let me know on GitHub! self.multicolor_modes = {} # chunks of colour gradients _blank_overlay = np.zeros((3,config.N_PIXELS)) # used to construct rgb overlay. [0-255,255...] whole length of strip _gradient_whole = [int(i*255/(config.N_PIXELS//2)) for i in range(config.N_PIXELS//2)] +\ [255 for i in range(config.N_PIXELS//2)] # also used to make bits and pieces. [0-255], 1/2 length of strip _alt_gradient_half = [int(i*255/(config.N_PIXELS//2)) for i in range(config.N_PIXELS//2)] # used to construct rgb overlay. [0-255,255...] 1/2 length of strip _gradient_half = _gradient_whole[::2] # Spectral colour mode self.multicolor_modes["Spectral"] = np.zeros((3,config.N_PIXELS)) self.multicolor_modes["Spectral"][2, :config.N_PIXELS//2] = _gradient_half[::-1] self.multicolor_modes["Spectral"][1, :] = _gradient_half + _gradient_half[::-1] self.multicolor_modes["Spectral"][0, :] = np.flipud(self.multicolor_modes["Spectral"][2]) # Dancefloor colour mode self.multicolor_modes["Dancefloor"] = np.zeros((3,config.N_PIXELS)) self.multicolor_modes["Dancefloor"][2, :] = _gradient_whole[::-1] self.multicolor_modes["Dancefloor"][0, :] = _gradient_whole # Brilliance colour mode self.multicolor_modes["Brilliance"] = np.zeros((3,config.N_PIXELS)) self.multicolor_modes["Brilliance"][2, :] = _gradient_whole[::-1] self.multicolor_modes["Brilliance"][1, :] = 255 self.multicolor_modes["Brilliance"][0, :] = _gradient_whole # Jungle colour mode self.multicolor_modes["Jungle"] = np.zeros((3,config.N_PIXELS)) self.multicolor_modes["Jungle"][1, :] = _gradient_whole[::-1] self.multicolor_modes["Jungle"][0, :] = _gradient_whole # Sky colour mode self.multicolor_modes["Sky"] = np.zeros((3,config.N_PIXELS)) self.multicolor_modes["Sky"][1, :config.N_PIXELS//2] = _alt_gradient_half[::-1] self.multicolor_modes["Sky"][0, config.N_PIXELS//2:] = _alt_gradient_half self.multicolor_modes["Sky"][2, :] = 255 # Acid colour mode self.multicolor_modes["Acid"] = np.zeros((3,config.N_PIXELS)) self.multicolor_modes["Acid"][2, :config.N_PIXELS//2] = _alt_gradient_half[::-1] self.multicolor_modes["Acid"][1, :] = 255 self.multicolor_modes["Acid"][0, config.N_PIXELS//2:] = _alt_gradient_half # Ocean colour mode self.multicolor_modes["Ocean"] = np.zeros((3,config.N_PIXELS)) self.multicolor_modes["Ocean"][1, :] = _gradient_whole self.multicolor_modes["Ocean"][2, :] = _gradient_whole[::-1] for i in self.multicolor_modes: self.multicolor_modes[i] = np.concatenate((self.multicolor_modes[i][:, ::-1], self.multicolor_modes[i]), axis=1) def get_vis(self, y, audio_input): self.update_freq_channels(y) self.detect_freqs() time1 = time.time() if audio_input: self.prev_output = np.copy(self.effects[self.current_effect](y)) elif self.current_effect in self.non_reactive_effects: self.prev_output = np.copy(self.effects[self.current_effect](y)) else: self.prev_output = np.multiply(self.prev_output, 0.95) time2 = time.time() self.latency_deque.append(1000*(time2-time1)) if config.USE_GUI: gui.label_latency.setText("{} ms Processing Latency ".format(int(sum(self.latency_deque)/len(self.latency_deque)))) return self.prev_output def _split_equal(self, value, parts): value = float(value) return [int(round(i*value/parts)) for i in range(1,parts+1)] def update_freq_channels(self, y): for i in range(len(y)): self.freq_channels[i].appendleft(y[i]) def detect_freqs(self): """ Function that updates current_freq_detects. Any visualisation algorithm can check if there is currently a beat, low, mid, or high by querying the self.current_freq_detects dict. """ channel_avgs = [] differences = [] for i in range(config.N_FFT_BINS): channel_avgs.append(sum(self.freq_channels[i])/len(self.freq_channels[i])) differences.append(((self.freq_channels[i][0]-channel_avgs[i])*100)//channel_avgs[i]) for i in ["beat", "low", "mid", "high"]: if any(differences[j] >= self.min_percent_diff[i]\ and self.freq_channels[j][0] >= self.min_detect_amplitude[i]\ for j in range(*self.detection_ranges[i]))\ and (time.time() - self.prev_freq_detects[i] > 0.1)\ and len(self.freq_channels[0]) == self.freq_channel_history: self.prev_freq_detects[i] = time.time() self.current_freq_detects[i] = True #print(i) else: self.current_freq_detects[i] = False def visualize_scroll(self, y): """Effect that originates in the center and scrolls outwards""" global p y = y**2.0 gain.update(y) y /= gain.value y *= 255.0 r = int(np.max(y[:len(y) // 3])) g = int(np.max(y[len(y) // 3: 2 * len(y) // 3])) b = int(np.max(y[2 * len(y) // 3:])) # Scrolling effect window p[:, 1:] = p[:, :-1] p *= self.effect_opts["Scroll"]["decay"] p = gaussian_filter1d(p, sigma=self.effect_opts["Scroll"]["blur"]) # Create new color originating at the center p[0, 0] = r p[1, 0] = g p[2, 0] = b # Update the LED strip return np.concatenate((p[:, ::-1], p), axis=1) def visualize_energy(self, y): """Effect that expands from the center with increasing sound energy""" global p y = np.copy(y) gain.update(y) y /= gain.value scale = self.effect_opts["Energy"]["scale"] # Scale by the width of the LED strip y *= float((config.N_PIXELS * scale) - 1) # Map color channels according to energy in the different freq bands r = int(np.mean(y[:len(y) // 3]**scale)) g = int(np.mean(y[len(y) // 3: 2 * len(y) // 3]**scale)) b = int(np.mean(y[2 * len(y) // 3:]**scale)) # Assign color to different frequency regions p[0, :r] = 255.0 p[0, r:] = 0.0 p[1, :g] = 255.0 p[1, g:] = 0.0 p[2, :b] = 255.0 p[2, b:] = 0.0 p_filt.update(p) p = np.round(p_filt.value) # Apply blur to smooth the edges p[0, :] = gaussian_filter1d(p[0, :], sigma=self.effect_opts["Energy"]["blur"]) p[1, :] = gaussian_filter1d(p[1, :], sigma=self.effect_opts["Energy"]["blur"]) p[2, :] = gaussian_filter1d(p[2, :], sigma=self.effect_opts["Energy"]["blur"]) # Set the new pixel value return np.concatenate((p[:, ::-1], p), axis=1) def visualize_wavelength(self, y): y = np.copy(interpolate(y, config.N_PIXELS // 2)) common_mode.update(y) diff = y - self.prev_spectrum self.prev_spectrum = np.copy(y) # Color channel mappings r = r_filt.update(y - common_mode.value) #g = np.abs(diff) b = b_filt.update(np.copy(y)) r = np.array([j for i in zip(r,r) for j in i]) output = np.array([self.multicolor_modes[self.effect_opts["Wavelength"]["color_mode"]][0][ (config.N_PIXELS if self.effect_opts["Wavelength"]["reverse_grad"] else 0): (None if self.effect_opts["Wavelength"]["reverse_grad"] else config.N_PIXELS):]*r, self.multicolor_modes[self.effect_opts["Wavelength"]["color_mode"]][1][ (config.N_PIXELS if self.effect_opts["Wavelength"]["reverse_grad"] else 0): (None if self.effect_opts["Wavelength"]["reverse_grad"] else config.N_PIXELS):]*r, self.multicolor_modes[self.effect_opts["Wavelength"]["color_mode"]][2][ (config.N_PIXELS if self.effect_opts["Wavelength"]["reverse_grad"] else 0): (None if self.effect_opts["Wavelength"]["reverse_grad"] else config.N_PIXELS):]*r]) #self.prev_spectrum = y self.multicolor_modes[self.effect_opts["Wavelength"]["color_mode"]] = np.roll( self.multicolor_modes[self.effect_opts["Wavelength"]["color_mode"]], self.effect_opts["Wavelength"]["roll_speed"]*(-1 if self.effect_opts["Wavelength"]["reverse_roll"] else 1), axis=1) output[0] = gaussian_filter1d(output[0], sigma=self.effect_opts["Wavelength"]["blur"]) output[1] = gaussian_filter1d(output[1], sigma=self.effect_opts["Wavelength"]["blur"]) output[2] = gaussian_filter1d(output[2], sigma=self.effect_opts["Wavelength"]["blur"]) if self.effect_opts["Wavelength"]["flip_lr"]: output = np.fliplr(output) if self.effect_opts["Wavelength"]["mirror"]: output = np.concatenate((output[:, ::-2], output[:, ::2]), axis=1) return output def visualize_spectrum(self, y): """Effect that maps the Mel filterbank frequencies onto the LED strip""" global p #print(len(y)) #print(y) y = np.copy(interpolate(y, config.N_PIXELS // 2)) common_mode.update(y) diff = y - self.prev_spectrum self.prev_spectrum = np.copy(y) # Color channel mappings r = r_filt.update(y - common_mode.value) g = np.abs(diff) b = b_filt.update(np.copy(y)) # Mirror the color channels for symmetric output r = np.concatenate((r[::-1], r)) g = np.concatenate((g[::-1], g)) b = np.concatenate((b[::-1], b)) output = np.array([r, g,b]) * 255 self.prev_spectrum = y return output def visualize_auto(self,y): """Automatically (intelligently?) cycle through effects""" return self.visualize_beat(y) # real intelligent def visualize_wave(self, y): """Effect that flashes to the beat with scrolling coloured bits""" if self.current_freq_detects["beat"]: output = np.zeros((3,config.N_PIXELS)) output[0][:]=self.colors[self.effect_opts["Wave"]["color_flash"]][0] output[1][:]=self.colors[self.effect_opts["Wave"]["color_flash"]][1] output[2][:]=self.colors[self.effect_opts["Wave"]["color_flash"]][2] self.wave_wipe_count = self.effect_opts["Wave"]["wipe_len"] else: output = np.copy(self.prev_output) #for i in range(len(self.prev_output)): # output[i] = np.hsplit(self.prev_output[i],2)[0] output = np.multiply(self.prev_output,self.effect_opts["Wave"]["decay"]) for i in range(self.wave_wipe_count): output[0][i]=self.colors[self.effect_opts["Wave"]["color_wave"]][0] output[0][-i]=self.colors[self.effect_opts["Wave"]["color_wave"]][0] output[1][i]=self.colors[self.effect_opts["Wave"]["color_wave"]][1] output[1][-i]=self.colors[self.effect_opts["Wave"]["color_wave"]][1] output[2][i]=self.colors[self.effect_opts["Wave"]["color_wave"]][2] output[2][-i]=self.colors[self.effect_opts["Wave"]["color_wave"]][2] #output = np.concatenate([output,np.fliplr(output)], axis=1) self.wave_wipe_count += self.effect_opts["Wave"]["wipe_speed"] if self.wave_wipe_count > config.N_PIXELS//2: self.wave_wipe_count = config.N_PIXELS//2 return output def visualize_beat(self, y): """Effect that flashes to the beat""" if self.current_freq_detects["beat"]: output = np.zeros((3,config.N_PIXELS)) output[0][:]=self.colors[self.effect_opts["Beat"]["color"]][0] output[1][:]=self.colors[self.effect_opts["Beat"]["color"]][1] output[2][:]=self.colors[self.effect_opts["Beat"]["color"]][2] else: output = np.copy(self.prev_output) output = np.multiply(self.prev_output,self.effect_opts["Beat"]["decay"]) return output def visualize_bars(self, y): # Bit of fiddling with the y values y = np.copy(interpolate(y, config.N_PIXELS // 2)) common_mode.update(y) self.prev_spectrum = np.copy(y) # Color channel mappings r = r_filt.update(y - common_mode.value) r = np.array([j for i in zip(r,r) for j in i]) # Split y into [resulution] chunks and calculate the average of each max_values = np.array([max(i) for i in np.array_split(r, self.effect_opts["Bars"]["resolution"])]) max_values = np.clip(max_values, 0, 1) color_sets = [] for i in range(self.effect_opts["Bars"]["resolution"]): # [r,g,b] values from a multicolour gradient array at [resulution] equally spaced intervals color_sets.append([self.multicolor_modes[self.effect_opts["Bars"]["color_mode"]]\ [j][i*(config.N_PIXELS//self.effect_opts["Bars"]["resolution"])] for j in range(3)]) output = np.zeros((3,config.N_PIXELS)) chunks = np.array_split(output[0], self.effect_opts["Bars"]["resolution"]) n = 0 # Assign blocks with heights corresponding to max_values and colours from color_sets for i in range(len(chunks)): m = len(chunks[i]) for j in range(3): output[j][n:n+m] = color_sets[i][j]*max_values[i] n += m self.multicolor_modes[self.effect_opts["Bars"]["color_mode"]] = np.roll( self.multicolor_modes[self.effect_opts["Bars"]["color_mode"]], self.effect_opts["Bars"]["roll_speed"]*(-1 if self.effect_opts["Bars"]["reverse_roll"] else 1), axis=1) if self.effect_opts["Bars"]["flip_lr"]: output = np.fliplr(output) if self.effect_opts["Bars"]["mirror"]: output = np.concatenate((output[:, ::-2], output[:, ::2]), axis=1) return output def visualize_power(self, y): #self.effect_opts["Power"]["color_mode"] # Bit of fiddling with the y values y = np.copy(interpolate(y, config.N_PIXELS // 2)) common_mode.update(y) self.prev_spectrum = np.copy(y) # Color channel mappings r = r_filt.update(y - common_mode.value) r = np.array([j for i in zip(r,r) for j in i]) output = np.array([self.multicolor_modes[self.effect_opts["Power"]["color_mode"]][0, :config.N_PIXELS]*r, self.multicolor_modes[self.effect_opts["Power"]["color_mode"]][1, :config.N_PIXELS]*r, self.multicolor_modes[self.effect_opts["Power"]["color_mode"]][2, :config.N_PIXELS]*r]) # if there's a high (eg clap): if self.current_freq_detects["high"]: self.power_brightness = 1.0 # Generate random indexes self.power_indexes = random.sample(range(config.N_PIXELS), self.effect_opts["Power"]["s_count"]) #print("ye") # Assign colour to the random indexes for index in self.power_indexes: output[0, index] = int(self.colors[self.effect_opts["Power"]["s_color"]][0]*self.power_brightness) output[1, index] = int(self.colors[self.effect_opts["Power"]["s_color"]][1]*self.power_brightness) output[2, index] = int(self.colors[self.effect_opts["Power"]["s_color"]][2]*self.power_brightness) # Remove some of the indexes for next time self.power_indexes = [i for i in self.power_indexes if i not in random.sample(self.power_indexes, len(self.power_indexes)//4)] if len(self.power_indexes) <= 4: self.power_indexes = [] # Fade the colour of the sparks out a bit for next time if self.power_brightness > 0: self.power_brightness -= 0.05 # Calculate length of bass bar based on max bass frequency volume and length of strip strip_len = int((config.N_PIXELS//3)*max(y[:int(config.N_FFT_BINS*0.2)])) # Add the bass bars into the output. Colour proportional to length output[0][:strip_len] = self.multicolor_modes[self.effect_opts["Power"]["color_mode"]][0][strip_len] output[1][:strip_len] = self.multicolor_modes[self.effect_opts["Power"]["color_mode"]][1][strip_len] output[2][:strip_len] = self.multicolor_modes[self.effect_opts["Power"]["color_mode"]][2][strip_len] if self.effect_opts["Power"]["flip_lr"]: output = np.fliplr(output) if self.effect_opts["Power"]["mirror"]: output = np.concatenate((output[:, ::-2], output[:, ::2]), axis=1) return output def visualize_single(self, y): "Displays a single colour, non audio reactive" output = np.zeros((3,config.N_PIXELS)) output[0][:]=self.colors[self.effect_opts["Single"]["color"]][0] output[1][:]=self.colors[self.effect_opts["Single"]["color"]][1] output[2][:]=self.colors[self.effect_opts["Single"]["color"]][2] return output def visualize_gradient(self, y): "Displays a multicolour gradient, non audio reactive" output = np.array([self.multicolor_modes[self.effect_opts["Gradient"]["color_mode"]][0][:config.N_PIXELS], self.multicolor_modes[self.effect_opts["Gradient"]["color_mode"]][1][:config.N_PIXELS], self.multicolor_modes[self.effect_opts["Gradient"]["color_mode"]][2][:config.N_PIXELS]]) self.multicolor_modes[self.effect_opts["Gradient"]["color_mode"]] = np.roll( self.multicolor_modes[self.effect_opts["Gradient"]["color_mode"]], self.effect_opts["Gradient"]["roll_speed"]*(-1 if self.effect_opts["Gradient"]["reverse"] else 1), axis=1) if self.effect_opts["Gradient"]["mirror"]: output = np.concatenate((output[:, ::-2], output[:, ::2]), axis=1) return output def visualize_fade(self, y): "Fades through a multicolour gradient, non audio reactive" output = [[self.multicolor_modes[self.effect_opts["Fade"]["color_mode"]][0][0] for i in range(config.N_PIXELS)], [self.multicolor_modes[self.effect_opts["Fade"]["color_mode"]][1][0] for i in range(config.N_PIXELS)], [self.multicolor_modes[self.effect_opts["Fade"]["color_mode"]][2][0] for i in range(config.N_PIXELS)]] self.multicolor_modes[self.effect_opts["Fade"]["color_mode"]] = np.roll( self.multicolor_modes[self.effect_opts["Fade"]["color_mode"]], self.effect_opts["Fade"]["roll_speed"]*(-1 if self.effect_opts["Fade"]["reverse"] else 1), axis=1) return output class GUI(QWidget): def __init__(self): super().__init__() self.initUI() def initUI(self): # ==================================== Set up window and wrapping layout self.setWindowTitle("Visualization") wrapper = QVBoxLayout() # ========================================== Set up FPS and error labels labels_layout = QHBoxLayout() self.label_error = QLabel("") self.label_fps = QLabel("") self.label_latency = QLabel("") self.label_fps.setAlignment(Qt.AlignRight | Qt.AlignVCenter) self.label_latency.setAlignment(Qt.AlignRight | Qt.AlignVCenter) labels_layout.addWidget(self.label_error) labels_layout.addStretch() labels_layout.addWidget(self.label_latency) labels_layout.addWidget(self.label_fps) # ================================================== Set up graph layout graph_view = pg.GraphicsView() graph_layout = pg.GraphicsLayout(border=(100,100,100)) graph_view.setCentralItem(graph_layout) # Mel filterbank plot fft_plot = graph_layout.addPlot(title='Filterbank Output', colspan=3) fft_plot.setRange(yRange=[-0.1, 1.2]) fft_plot.disableAutoRange(axis=pg.ViewBox.YAxis) x_data = np.array(range(1, config.N_FFT_BINS + 1)) self.mel_curve = pg.PlotCurveItem() self.mel_curve.setData(x=x_data, y=x_data*0) fft_plot.addItem(self.mel_curve) # Visualization plot graph_layout.nextRow() led_plot = graph_layout.addPlot(title='Visualization Output', colspan=3) led_plot.setRange(yRange=[-5, 260]) led_plot.disableAutoRange(axis=pg.ViewBox.YAxis) # Pen for each of the color channel curves r_pen = pg.mkPen((255, 30, 30, 200), width=4) g_pen = pg.mkPen((30, 255, 30, 200), width=4) b_pen = pg.mkPen((30, 30, 255, 200), width=4) # Color channel curves self.r_curve = pg.PlotCurveItem(pen=r_pen) self.g_curve = pg.PlotCurveItem(pen=g_pen) self.b_curve = pg.PlotCurveItem(pen=b_pen) # Define x data x_data = np.array(range(1, config.N_PIXELS + 1)) self.r_curve.setData(x=x_data, y=x_data*0) self.g_curve.setData(x=x_data, y=x_data*0) self.b_curve.setData(x=x_data, y=x_data*0) # Add curves to plot led_plot.addItem(self.r_curve) led_plot.addItem(self.g_curve) led_plot.addItem(self.b_curve) # ================================================= Set up button layout label_reactive = QLabel("Audio Reactive Effects") label_non_reactive = QLabel("Non Reactive Effects") reactive_button_grid = QGridLayout() non_reactive_button_grid = QGridLayout() buttons = {} connecting_funcs = {} grid_width = 4 i = 0 j = 0 k = 0 l = 0 # Dynamically layout reactive_buttons and connect them to the visualisation effects def connect_generator(effect): def func(): visualizer.current_effect = effect buttons[effect].setDown(True) func.__name__ = effect return func # Where the magic happens for effect in visualizer.effects: if not effect in visualizer.non_reactive_effects: connecting_funcs[effect] = connect_generator(effect) buttons[effect] = QPushButton(effect) buttons[effect].clicked.connect(connecting_funcs[effect]) reactive_button_grid.addWidget(buttons[effect], j, i) i += 1 if i % grid_width == 0: i = 0 j += 1 else: connecting_funcs[effect] = connect_generator(effect) buttons[effect] = QPushButton(effect) buttons[effect].clicked.connect(connecting_funcs[effect]) non_reactive_button_grid.addWidget(buttons[effect], l, k) k += 1 if k % grid_width == 0: k = 0 l += 1 # ============================================== Set up frequency slider # Frequency range label label_slider = QLabel("Frequency Range") # Frequency slider def freq_slider_change(tick): minf = freq_slider.tickValue(0)**2.0 * (config.MIC_RATE / 2.0) maxf = freq_slider.tickValue(1)**2.0 * (config.MIC_RATE / 2.0) t = 'Frequency range: {:.0f} - {:.0f} Hz'.format(minf, maxf) freq_label.setText(t) config.MIN_FREQUENCY = minf config.MAX_FREQUENCY = maxf dsp.create_mel_bank() def set_freq_min(): config.MIN_FREQUENCY = freq_slider.start() dsp.create_mel_bank() def set_freq_max(): config.MAX_FREQUENCY = freq_slider.end() dsp.create_mel_bank() freq_slider = QRangeSlider() freq_slider.show() freq_slider.setMin(0) freq_slider.setMax(20000) freq_slider.setRange(config.MIN_FREQUENCY, config.MAX_FREQUENCY) freq_slider.setBackgroundStyle('background: qlineargradient(x1:0, y1:0, x2:0, y2:1, stop:0 #222, stop:1 #333);') freq_slider.setSpanStyle('background: qlineargradient(x1:0, y1:0, x2:0, y2:1, stop:0 #282, stop:1 #393);') freq_slider.setDrawValues(True) freq_slider.endValueChanged.connect(set_freq_max) freq_slider.startValueChanged.connect(set_freq_min) freq_slider.setStyleSheet(""" QRangeSlider * { border: 0px; padding: 0px; } QRangeSlider > QSplitter::handle { background: #fff; } QRangeSlider > QSplitter::handle:vertical { height: 3px; } QRangeSlider > QSplitter::handle:pressed { background: #ca5; } """) # ============================================ Set up option tabs layout label_options = QLabel("Effect Options") opts_tabs = QTabWidget() # Dynamically set up tabs tabs = {} grid_layouts = {} self.grid_layout_widgets = {} options = visualizer.effect_opts.keys() for effect in visualizer.effects: # Make the tab self.grid_layout_widgets[effect] = {} tabs[effect] = QWidget() grid_layouts[effect] = QGridLayout() tabs[effect].setLayout(grid_layouts[effect]) opts_tabs.addTab(tabs[effect],effect) # These functions make functions for the dynamic ui generation # YOU WANT-A DYNAMIC I GIVE-A YOU DYNAMIC! def gen_slider_valuechanger(effect, key): def func(): visualizer.effect_opts[effect][key] = self.grid_layout_widgets[effect][key].value() return func def gen_float_slider_valuechanger(effect, key): def func(): visualizer.effect_opts[effect][key] = self.grid_layout_widgets[effect][key].slider_value return func def gen_combobox_valuechanger(effect, key): def func(): visualizer.effect_opts[effect][key] = self.grid_layout_widgets[effect][key].currentText() return func def gen_checkbox_valuechanger(effect, key): def func(): visualizer.effect_opts[effect][key] = self.grid_layout_widgets[effect][key].isChecked() return func # Dynamically generate ui for settings if effect in visualizer.dynamic_effects_config: i = 0 connecting_funcs[effect] = {} for key, label, ui_element, *opts in visualizer.dynamic_effects_config[effect]: if opts: # neatest way ^^^^^ i could think of to unpack and handle an unknown number of opts (if any) opts = opts[0] if ui_element == "slider": connecting_funcs[effect][key] = gen_slider_valuechanger(effect, key) self.grid_layout_widgets[effect][key] = QSlider(Qt.Horizontal) self.grid_layout_widgets[effect][key].setMinimum(opts[0]) self.grid_layout_widgets[effect][key].setMaximum(opts[1]) self.grid_layout_widgets[effect][key].setValue(visualizer.effect_opts[effect][key]) self.grid_layout_widgets[effect][key].valueChanged.connect( connecting_funcs[effect][key]) elif ui_element == "float_slider": connecting_funcs[effect][key] = gen_float_slider_valuechanger(effect, key) self.grid_layout_widgets[effect][key] = QFloatSlider(*opts, visualizer.effect_opts[effect][key]) self.grid_layout_widgets[effect][key].setValue(visualizer.effect_opts[effect][key]) self.grid_layout_widgets[effect][key].valueChanged.connect( connecting_funcs[effect][key]) elif ui_element == "dropdown": connecting_funcs[effect][key] = gen_combobox_valuechanger(effect, key) self.grid_layout_widgets[effect][key] = QComboBox() self.grid_layout_widgets[effect][key].addItems(opts) self.grid_layout_widgets[effect][key].currentIndexChanged.connect( connecting_funcs[effect][key]) elif ui_element == "checkbox": connecting_funcs[effect][key] = gen_checkbox_valuechanger(effect, key) self.grid_layout_widgets[effect][key] = QCheckBox() self.grid_layout_widgets[effect][key].setCheckState(visualizer.effect_opts[effect][key]) self.grid_layout_widgets[effect][key].stateChanged.connect( connecting_funcs[effect][key]) grid_layouts[effect].addWidget(QLabel(label),i,0) grid_layouts[effect].addWidget(self.grid_layout_widgets[effect][key],i,1) i += 1 #visualizer.effect_settings[effect] else: grid_layouts[effect].addWidget(QLabel("No customisable options for this effect :("),0,0) # ============================================= Add layouts into wrapper self.setLayout(wrapper) wrapper.addLayout(labels_layout) wrapper.addWidget(graph_view) wrapper.addWidget(label_reactive) wrapper.addLayout(reactive_button_grid) wrapper.addWidget(label_non_reactive) wrapper.addLayout(non_reactive_button_grid) wrapper.addWidget(label_slider) wrapper.addWidget(freq_slider) wrapper.addWidget(label_options) wrapper.addWidget(opts_tabs) self.show() def frames_per_second(): """Return the estimated frames per second Returns the current estimate for frames-per-second (FPS). FPS is estimated by measured the amount of time that has elapsed since this function was previously called. The FPS estimate is low-pass filtered to reduce noise. This function is intended to be called one time for every iteration of the program's main loop. Returns ------- fps : float Estimated frames-per-second. This value is low-pass filtered to reduce noise. """ global _time_prev, _fps time_now = time.time() * 1000.0 dt = time_now - _time_prev _time_prev = time_now if dt == 0.0: return _fps.value return _fps.update(1000.0 / dt) def memoize(function): """Provides a decorator for memoizing functions""" from functools import wraps memo = {} @wraps(function) def wrapper(*args): if args in memo: return memo[args] else: rv = function(*args) memo[args] = rv return rv return wrapper @memoize def _normalized_linspace(size): return np.linspace(0, 1, size) def interpolate(y, new_length): """Intelligently resizes the array by linearly interpolating the values Parameters ---------- y : np.array Array that should be resized new_length : int The length of the new interpolated array Returns ------- z : np.array New array with length of new_length that contains the interpolated values of y. """ if len(y) == new_length: return y x_old = _normalized_linspace(len(y)) x_new = _normalized_linspace(new_length) z = np.interp(x_new, x_old, y) return z def microphone_update(audio_samples): global y_roll, prev_rms, prev_exp, prev_fps_update # Normalize samples between 0 and 1 y = audio_samples / 2.0**15 # Construct a rolling window of audio samples y_roll[:-1] = y_roll[1:] y_roll[-1, :] = np.copy(y) y_data = np.concatenate(y_roll, axis=0).astype(np.float32) vol = np.max(np.abs(y_data)) # Transform audio input into the frequency domain N = len(y_data) N_zeros = 2**int(np.ceil(np.log2(N))) - N # Pad with zeros until the next power of two y_data *= fft_window y_padded = np.pad(y_data, (0, N_zeros), mode='constant') YS = np.abs(np.fft.rfft(y_padded)[:N // 2]) # Construct a Mel filterbank from the FFT data mel = np.atleast_2d(YS).T * dsp.mel_y.T # Scale data to values more suitable for visualization mel = np.sum(mel, axis=0) mel = mel**0.7 # Gain normalization mel_gain.update(np.max(gaussian_filter1d(mel, sigma=1.0))) mel /= mel_gain.value mel = mel_smoothing.update(mel) # Map filterbank output onto LED strip led.pixels = visualizer.get_vis(mel, audio_input = True if vol > config.MIN_VOLUME_THRESHOLD else False) led.update() if config.USE_GUI: x = np.linspace(config.MIN_FREQUENCY, config.MAX_FREQUENCY, len(mel)) if vol < config.MIN_VOLUME_THRESHOLD: gui.label_error.setText("No audio input. Volume below threshold.") gui.mel_curve.setData(x=x, y=[0 for i in range(config.N_FFT_BINS)]) else: # Plot filterbank output gui.mel_curve.setData(x=x, y=fft_plot_filter.update(mel)) gui.label_error.setText("") fps = frames_per_second() if time.time() - 0.5 > prev_fps_update: prev_fps_update = time.time() app.processEvents() # Plot the color channels gui.r_curve.setData(y=led.pixels[0]) gui.g_curve.setData(y=led.pixels[1]) gui.b_curve.setData(y=led.pixels[2]) # Update fps counter gui.label_fps.setText('{:.0f} / {:.0f} FPS'.format(fps, config.FPS)) elif vol < config.MIN_VOLUME_THRESHOLD: print("No audio input. Volume below threshold. Volume: {}".format(vol)) if config.DISPLAY_FPS: print('FPS {:.0f} / {:.0f}'.format(fps, config.FPS)) # Initialise visualiser and GUI visualizer = Visualizer() if config.USE_GUI: # Create GUI window app = QApplication([]) app.setApplicationName('Visualization') gui = GUI() app.processEvents() # Initialise filter stuff fft_plot_filter = dsp.ExpFilter(np.tile(1e-1, config.N_FFT_BINS), alpha_decay=0.5, alpha_rise=0.99) mel_gain = dsp.ExpFilter(np.tile(1e-1, config.N_FFT_BINS), alpha_decay=0.01, alpha_rise=0.99) mel_smoothing = dsp.ExpFilter(np.tile(1e-1, config.N_FFT_BINS), alpha_decay=0.5, alpha_rise=0.99) volume = dsp.ExpFilter(config.MIN_VOLUME_THRESHOLD, alpha_decay=0.02, alpha_rise=0.02) fft_window = np.hamming(int(config.MIC_RATE / config.FPS) * config.N_ROLLING_HISTORY) prev_fps_update = time.time() # Initialise more filter stuff r_filt = dsp.ExpFilter(np.tile(0.01, config.N_PIXELS // 2), alpha_decay=0.2, alpha_rise=0.99) g_filt = dsp.ExpFilter(np.tile(0.01, config.N_PIXELS // 2), alpha_decay=0.05, alpha_rise=0.3) b_filt = dsp.ExpFilter(np.tile(0.01, config.N_PIXELS // 2), alpha_decay=0.1, alpha_rise=0.5) common_mode = dsp.ExpFilter(np.tile(0.01, config.N_PIXELS // 2), alpha_decay=0.99, alpha_rise=0.01) p_filt = dsp.ExpFilter(np.tile(1, (3, config.N_PIXELS // 2)), alpha_decay=0.1, alpha_rise=0.99) p = np.tile(1.0, (3, config.N_PIXELS // 2)) gain = dsp.ExpFilter(np.tile(0.01, config.N_FFT_BINS), alpha_decay=0.001, alpha_rise=0.99) # The previous time that the frames_per_second() function was called _time_prev = time.time() * 1000.0 # The low-pass filter used to estimate frames-per-second _fps = dsp.ExpFilter(val=config.FPS, alpha_decay=0.2, alpha_rise=0.2) # Number of audio samples to read every time frame samples_per_frame = int(config.MIC_RATE / config.FPS) # Array containing the rolling audio sample window y_roll = np.random.rand(config.N_ROLLING_HISTORY, samples_per_frame) / 1e16 # Initialize LEDs led.update() # Start listening to live audio stream microphone.start_stream(microphone_update)