quick jack audio to waterfall spectrgraph (ffmpeg showcqt filter in mpv)

mpv-ffmpegvisual-jackin.sh

# https://github.com/mfcc64/mpv-scripts/blob/master/visualizer.lua
# https://github.com/mfcc64/showcqt-bash

# fixed to 800x600 atm. todo; migrate calculations from other projects

# basic, no data image
mpv --config=no --quiet --lavfi-complex="[aid1] asplit [ao], afifo, aformat = channel_layouts = stereo, firequalizer = gain = '1.4884e8 * f*f*f / (f*f + 424.36) / (f*f + 1.4884e8) / sqrt(f*f + 25122.25)': scale = linlin : wfunc = tukey: zero_phase = on: fft2 = on, showcqt = size = 800x600 : count= 2.5 : csp = bt709 : bar_g = 2: sono_g = 4 : bar_v= 9 : sono_v = 17 : font = 'Nimbus Mono L,Courier New,mono' : fontcolor = 'st(0, (midi(f)-53.5)/12); st(1, 0.5 - 0.5 * cos(PI*ld(0))); r(1-ld(1)) + b(ld(1))' : tc = 0.33 : attack = 0.033 : tlength= 'st(0,0.17); 384*tc / (384 / ld(0) + tc*f /(1-ld(0))) + 384*tc / (tc*f / ld(0) + 384 /(1-ld(0)))', format = yuv420p [vo]" av://jack:"mpv JACK"

# silly long, includes data image for horizontal axis note/octave labels
mpv --config=no --quiet --lavfi-complex="[aid1] asplit [ao], afifo, aformat = channel_layouts = stereo, firequalizer = gain = '1.4884e8 * f*f*f / (f*f + 424.36) / (f*f + 1.4884e8) / sqrt(f*f + 25122.25)': scale = linlin : wfunc = tukey: zero_phase = on: fft2 = on, showcqt = size = 800x600 : count= 2.5 : csp = bt709 : bar_g = 2: sono_g = 4 : bar_v= 9 : sono_v = 17 : axisfile = data\\\\:'image/png;base64,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' : font = 'Nimbus Mono L,Courier New,mono' : fontcolor = 'st(0, (midi(f)-53.5)/12); st(1, 0.5 - 0.5 * cos(PI*ld(0))); r(1-ld(1)) + b(ld(1))' : tc = 0.33 : attack = 0.033 : tlength= 'st(0,0.17); 384*tc / (384 / ld(0) + tc*f /(1-ld(0))) + 384*tc / (tc*f / ld(0) + 384 /(1-ld(0)))', format = yuv420p [vo]" av://jack:"mpv JACK"