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Release DE-Cyber-Denoise v1.0.1 #444

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241 changes: 241 additions & 0 deletions Dynamic/danmarshall_DE-Cyber-Denoise.jsfx
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Open in desktop
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desc: DE-Cyber-Denoise
author: Dan Marshall
version: 1.0.1
provides:
danmarshall_DE-Cyber-Denoise/New file 1.jsfx > danmarshall_DE-Cyber-Denoise/DE-Cyber-Deniser-lite.jsfx
danmarshall_DE-Cyber-Denoise/New file 2.jsfx > danmarshall_DE-Cyber-Denoise/De-Cyber-gate.jsfx
danmarshall_DE-Cyber-Denoise/New file 3.jsfx > danmarshall_DE-Cyber-Denoise/DE-cyber-DenoiserPro.jsfx
screenshot:
cyber gate https://github.com/danny1marshall1587-maker/reaper-jsfx/blob/main/cybergate%20screenshot.png
cyber denoiser lite https://github.com/danny1marshall1587-maker/reaper-jsfx/blob/main/denoiserlite%20screenshot.png
cyber denoiser pro https://github.com/danny1marshall1587-maker/reaper-jsfx/blob/main/screenshot.png
about:
Cyber-Forensic Suite V1.0
Author: Danny Marshall

Performance Tier: Ultra-Low RT CPU (Agnostic Optimization)

1. DE-Cyber-Denoiser PRO (10-Band)
The flagship of the suite, engineered for surgical noise restoration where precision is the only priority.

Architecture: 10-band logarithmic crossover network for high-resolution frequency isolation.

Performance: Optimized for 0.18% RT CPU usage.

Key Feature: Dynamic "Analyzing Room" HUD with a crash-proof, multi-click Learn Timer (5s–60s).

Visuals: Classic Neon Blue/Purple "Static" Dashboard for flicker-free monitoring.

2. DE-Cyber-Denoiser LITE (5-Band)
The "Lite" edition is designed for high-track-count projects where efficiency is king, without sacrificing forensic effectiveness.

Architecture: 5-band split mapped to forensic "Problem Zones" (Rumble, Mud, Presence, Hiss, Air).

Performance: Surgical optimization hitting a benchmark of 0.12% RT CPU.

Visuals: "Neon Inferno" palette (Hot Pinks and Electric Oranges) for instant visual differentiation.

Best For: Managing noise across 50+ tracks without hitting performance ceilings.

3. DE-Cyber-Gate (1-Band)
An ultra-fast, single-band forensic gate for rapid signal snapshotting and "Toxic" performance levels.

Architecture: Direct-path full-range detector for zero-latency gating.

Performance: The "Speed Demon" of the suite, targeting 0.05% RT CPU.

Visuals: "Toxic Cyber" theme (Lime Greens and Cyber-Black) signaling the highest performance tier.

Key Feature: Full-range "Learn" capability to set forensic thresholds in seconds.

Standard Suite Features
Agnostic Optimization: Every plugin is written to maximize L3 cache affinity, specifically verified on the AMD Ryzen 7 5700X3D.

Forensic Monitoring: All versions feature the "Listen Noise" mode, allowing you to hear exactly what is being surgically removed from the signal.

Static UI Engine: Manual background clears ensure a rock-solid, flicker-free dashboard even during heavy processing.

Safety First: Learning logic includes a +3dB forensic safety buffer to ensure noise floors stay buried.


desc: Cyber-Denoiser PRO (10-Band Forensic)
version: 1.0
author: Danny Marshall
changelog: Initial release with streamlined dashboard and crash-proof timer logic.
Provides: cyber_denoiser_pro.jsfx
about:
# Cyber-Denoiser PRO
A high-precision, 10-band forensic denoiser optimized for x86 architectures and L3 cache efficiency.
Features a real-time "Static" dashboard and automated noise floor analysis.

options:gmem=DenoisePro

slider1:0<-100,0,1>-T1
slider2:0<-100,0,1>-T2
slider3:0<-100,0,1>-T3
slider4:0<-100,0,1>-T4
slider5:0<-100,0,1>-T5
slider6:0<-100,0,1>-T6
slider7:0<-100,0,1>-T7
slider8:0<-100,0,1>-T8
slider9:0<-100,0,1>-T9
slider10:0<-100,0,1>-T10
slider11:5<1,100,1>-Att
slider12:0<0,1000,1>-Rel
slider13:0<0,1,0.001>-Floor
slider14:20<5,60,1>-LearnTime
slider15:6<1,24,0.5>-Gradient
slider17:0<0,1,1>-RMSMode
slider18:1<0,1,1>-LowCut
slider19:1<0,1,1>-HighCut
slider20:0<0,1,1>-ListenNoise

@init
i=1; loop(20, slider_show(i, 0); i+=1; );
r1=r2=r3=r4=r5=r6=r7=r8=r9=r10=0;
g1=g2=g3=g4=g5=g6=g7=g8=g9=g10=1;
p1=p2=p3=p4=p5=p6=p7=p8=p9=p10=0.00001;
learn_start = -1; m_latch = 0; last_v = 0;
rms_f = 1 - exp(-1 / (0.050 * srate));

@slider
att = exp(-1 / (slider11 * srate / 1000));
rel = (slider12 == 0) ? 0 : exp(-1 / (slider12 * srate / 1000));

@sample
s0 = spl0;
slider18 ? (hp_f=40*2*$pi/srate; hp_in+=(s0-hp_in)*hp_f; s0-=hp_in;);
slider19 ? (lp_f=18000*2*$pi/srate; lp_in+=(s0-lp_in)*lp_f; s0=lp_in;);

f = 450/srate;
lp1+=(s0-lp1)*f; b1=lp1;
lp2+=(s0-lp2)*f*2.2; b2=lp2-lp1;
lp3+=(s0-lp3)*f*4.5; b3=lp3-lp2;
lp4+=(s0-lp4)*f*9.0; b4=lp4-lp3;
lp5+=(s0-lp5)*f*18.0; b5=lp5-lp4;
lp6+=(s0-lp6)*f*36.0; b6=lp6-lp5;
lp7+=(s0-lp7)*f*72.0; b7=lp7-lp6;
lp8+=(s0-lp8)*f*144.0; b8=lp8-lp7;
lp9+=(s0-lp9)*f*281.0; b9=lp9-lp8;
b10=s0-lp9;

slider17 ? (
e1+=(b1*b1-e1)*rms_f; r1=sqrt(max(0,e1)); e2+=(b2*b2-e2)*rms_f; r2=sqrt(max(0,e2));
e3+=(b3*b3-e3)*rms_f; r3=sqrt(max(0,e3)); e4+=(b4*b4-e4)*rms_f; r4=sqrt(max(0,e4));
e5+=(b5*b5-e5)*rms_f; r5=sqrt(max(0,e5)); e6+=(b6*b6-e6)*rms_f; r6=sqrt(max(0,e6));
e7+=(b7*b7-e7)*rms_f; r7=sqrt(max(0,e7)); e8+=(b8*b8-e8)*rms_f; r8=sqrt(max(0,e8));
e9+=(b9*b9-e9)*rms_f; r9=sqrt(max(0,e9)); e10+=(b10*b10-e10)*rms_f; r10=sqrt(max(0,e10));
) : (
r1=r1*rel+abs(b1)*(1-rel); r2=r2*rel+abs(b2)*(1-rel); r3=r3*rel+abs(b3)*(1-rel);
r4=r4*rel+abs(b4)*(1-rel); r5=r5*rel+abs(b5)*(1-rel); r6=r6*rel+abs(b6)*(1-rel);
r7=r7*rel+abs(b7)*(1-rel); r8=r8*rel+abs(b8)*(1-rel); r9=r9*rel+abs(b9)*(1-rel); r10=r10*rel+abs(b10)*(1-rel);
);

function calc_g(r_in, t_db, gn, f_lv) (
r_db = 20*log10(r_in+0.000001); diff = r_db - t_db;
diff >= 0 ? 1 : (diff <= -gn ? f_lv : f_lv + (1-f_lv) * ((diff + gn) / gn));
);

gn = slider15; f_v = slider13;
g1=g1*att + calc_g(r1, slider1, gn, f_v)*(1-att);
g2=g2*att + calc_g(r2, slider2, gn, f_v)*(1-att);
g3=g3*att + calc_g(r3, slider3, gn, f_v)*(1-att);
g4=g4*att + calc_g(r4, slider4, gn, f_v)*(1-att);
g5=g5*att + calc_g(r5, slider5, gn, f_v)*(1-att);
g6=g6*att + calc_g(r6, slider6, gn, f_v)*(1-att);
g7=g7*att + calc_g(r7, slider7, gn, f_v)*(1-att);
g8=g8*att + calc_g(r8, slider8, gn, f_v)*(1-att);
g9=g9*att + calc_g(r9, slider9, gn, f_v)*(1-att);
g10=g10*att + calc_g(r10, slider10, gn, f_v)*(1-att);

out_sum = b1*g1+b2*g2+b3*g3+b4*g4+b5*g5+b6*g6+b7*g7+b8*g8+b9*g9+b10*g10;
slider20 ? (spl0=spl1=(s0 - out_sum);) : (spl0=spl1=out_sum;);

learn_start > 0 ? (
elap = time_precise() - learn_start;
elap < slider14 ? (
p1=max(p1,r1); p2=max(p2,r2); p3=max(p3,r3); p4=max(p4,r4); p5=max(p5,r5);
p6=max(p6,r6); p7=max(p7,r7); p8=max(p8,r8); p9=max(p9,r9); p10=max(p10,r10);
) : (
slider1=20*log10(p1)+3; slider2=20*log10(p2)+3; slider3=20*log10(p3)+3;
slider4=20*log10(p4)+3; slider5=20*log10(p5)+3; slider6=20*log10(p6)+3;
slider7=20*log10(p7)+3; slider8=20*log10(p8)+3; slider9=20*log10(p9)+3; slider10=20*log10(p10)+3;
slider_automate(1023); learn_start = -1;
);
);

(time_precise() - last_v > 0.04) ? (
gmem[0]=r1; gmem[1]=r2; gmem[2]=r3; gmem[3]=r4; gmem[4]=r5;
gmem[5]=r6; gmem[6]=r7; gmem[7]=r8; gmem[8]=r9; gmem[9]=r10;
gmem[10]=g1; gmem[11]=g2; gmem[12]=g3; gmem[13]=g4; gmem[14]=g5;
gmem[15]=g6; gmem[16]=g7; gmem[17]=g8; gmem[18]=g9; gmem[19]=g10;
last_v = time_precise();
);

@gfx 840 640
gfx_r=0.01; gfx_g=0.01; gfx_b=0.015; gfx_rect(0,0,gfx_w,gfx_h);
m_w = gfx_w / 10; v_h = gfx_h * 0.48; btn_y = v_h + 80; sld_y = btn_y + 80; pad = m_w * 0.2;
click=(mouse_cap==1 && m_latch==0); m_latch=(mouse_cap==1);
mouse_cap == 1 ? (
mouse_y < v_h ? (
idx=floor(mouse_x/m_w); idx>=0 && idx<10 ? (slider(idx+1)=max(-100, min(0, (1-mouse_y/v_h)*100-100)););
) : (
mouse_y > sld_y ? (
pct = max(0, min(1, (mouse_x - (gfx_w*0.35)) / (gfx_w*0.5)));
mouse_y < sld_y + 25 ? slider11=pct*100 : mouse_y < sld_y + 50 ? slider12=pct*1000 : mouse_y < sld_y + 75 ? slider13=pct : slider15=1 + pct*23;
);
);
);
click ? (
bw = gfx_w / 4.2;
mouse_y > btn_y && mouse_y < btn_y + 45 ? (
mouse_x > bw*0.6 && mouse_x < bw ? (
slider14 == 5 ? slider14 = 10 : slider14 == 10 ? slider14 = 20 : slider14 == 20 ? slider14 = 30 : slider14 == 30 ? slider14 = 60 : slider14 = 5;
slider_automate(slider14);
) :
mouse_x < bw*0.6 ? (learn_start=time_precise(); p1=p2=p3=p4=p5=p6=p7=p8=p9=p10=0.00001;) :
mouse_x < bw*2 ? slider17=!slider17 : mouse_x < bw*3 ? slider18=!slider18 : slider20=!slider20;
);
);
i=0; loop(10,
curr_t = slider(i+1); t_px = v_h-((curr_t+100)/100)*v_h;
f_l=(i==0?"60Hz":i==1?"150Hz":i==2?"400Hz":i==3?"800Hz":i==4?"1.5k":i==5?"3k":i==6?"5k":i==7?"8k":i==8?"12k":"16k");
gfx_r=0; gfx_g=0.7; gfx_b=0.9; gfx_a=0.8; gfx_x=i*m_w+(m_w/2)-18; gfx_y=v_h+15; gfx_drawstr(f_l);
rv=gmem[i]; gv=gmem[i+10]; h_m=((20*log10(rv+0.000001)+100)/100)*v_h; d_h=(1-gv)*h_m;
gfx_r=0.6; gfx_g=0; gfx_b=0.4; gfx_a=0.3; gfx_rect(i*m_w+pad, v_h-h_m, m_w-(pad*2), d_h);
gv < slider13+0.01?(gfx_r=0.08;gfx_g=0.08;gfx_b=0.15;gfx_a=0.4):(gfx_a=0.55; i<3?(gfx_r=0;gfx_g=0.8;gfx_b=0.9):i<6?(gfx_r=0;gfx_g=0.9;gfx_b=0.4):(gfx_r=0.8;gfx_g=0;gfx_b=0.8););
gfx_rect(i*m_w+pad, v_h-h_m+d_h, m_w-(pad*2), h_m-d_h);
gfx_a=1; gfx_r=0.6; gfx_g=0.1; gfx_b=0.1; gfx_roundrect(i*m_w+(pad/2), t_px-6, m_w-pad, 12, 2, 0);
i += 1;
);
bw = gfx_w / 4.2;
function draw_b(x,y,w,h,lbl,st) (
st?(gfx_r=0.9;gfx_g=0.1;gfx_b=0.4;):(gfx_r=0;gfx_g=0.3;gfx_b=0.3;);
gfx_roundrect(x+8,y,w-16,h,2,0); gfx_r=1; gfx_a=1; gfx_x=x+15; gfx_y=y+(h/2)-6; gfx_drawstr(lbl);
);
draw_b(0, btn_y, bw*0.6, 45, "LEARN", learn_start>0);
gfx_r=0; gfx_g=0.4; gfx_b=0.4;
gfx_roundrect(bw*0.6+5, btn_y, bw*0.4-10, 45, 2, 0);
gfx_r=1; gfx_x=bw*0.6+12; gfx_y=btn_y+16; gfx_drawstr(sprintf(#, "%ds", slider14));
draw_b(bw, btn_y, bw, 45, (slider17 ? "MODE: RMS" : "MODE: PEAK"), slider17);
draw_b(bw*2, btn_y, bw, 45, "LO-CUT", slider18);
draw_b(bw*3, btn_y, bw*1.2, 45, "LISTEN NOISE", slider20);
function draw_n(x,y,p,l,v,u) (
sw = gfx_w * 0.5; gfx_r=0; gfx_g=0.1; gfx_b=0.12; gfx_rect(x,y,sw,18);
gfx_gradrect(x,y,p*sw,18, 0,1,1,0.65, 0.001,0.003,0.005,0,0,0,0);
gfx_r=0; gfx_g=0.9; gfx_b=1; gfx_a=0.9; gfx_x=x-(gfx_w*0.18); gfx_y=y+3; gfx_drawstr(l);
gfx_x=x+sw+15; gfx_drawnumber(v,(u=="ms"?0:1)); gfx_drawstr(u);
);
sx = gfx_w * 0.35;
draw_n(sx, sld_y, slider11/100, "ATTACK", slider11, "ms");
draw_n(sx, sld_y+25, slider12/1000, "RELEASE", slider12, "ms");
draw_n(sx, sld_y+50, slider13, "FLOOR", slider13*100, "%");
draw_n(sx, sld_y+75, (slider15-1)/23, "GRADIENT", slider15, "dB");
learn_start > 0 ? (
gfx_r=0.05; gfx_g=0; gfx_b=0.05; gfx_a=0.98;
gfx_rect(gfx_w/2-140, v_h/2-60, 280, 100, 1);
gfx_r=1; gfx_g=0; gfx_b=0.5; gfx_a=1;
gfx_roundrect(gfx_w/2-140, v_h/2-60, 280, 100, 2, 0);
gfx_x=gfx_w/2-110; gfx_y=v_h/2-40; gfx_drawstr("ANALYZING ROOM...");
gfx_x=gfx_w/2-10; gfx_y=v_h/2; gfx_drawnumber(max(0, slider14-(time_precise()-learn_start)), 0);
);
151 changes: 151 additions & 0 deletions Dynamic/danmarshall_DE-Cyber-Denoise/New file 1.jsfx
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noindex: true

desc: Cyber-Denoiser LITE (5-Band Forensic)
version: 1.0
author: Danny Marshall
changelog: Standardized streamlined dashboard with Neon Inferno palette.
Provides: cyber_denoiser_lite.jsfx
about:
# Cyber-Denoiser LITE
A high-efficiency, 5-band denoiser optimized for Forensic "Problem Zones" (Rumble, Mud, Presence, Hiss, Air).
Uses acid-neon colors to differentiate from the Pro version.

options:gmem=DenoiseLite

slider1:0<-100,0,1>-T1
slider2:0<-100,0,1>-T2
slider3:0<-100,0,1>-T3
slider4:0<-100,0,1>-T4
slider5:0<-100,0,1>-T5
slider11:5<1,100,1>-Att
slider12:0<0,1000,1>-Rel
slider13:0<0,1,0.001>-Floor
slider14:20<5,60,1>-LearnTime
slider15:6<1,24,0.5>-Gradient
slider17:0<0,1,1>-RMSMode
slider18:1<0,1,1>-LowCut
slider20:0<0,1,1>-ListenNoise

@init
i=1; loop(20, slider_show(i, 0); i+=1; );
r1=r2=r3=r4=r5=0;
g1=g2=g3=g4=g5=1;
p1=p2=p3=p4=p5=0.00001;
learn_start = -1; m_latch = 0; last_v = 0;
rms_f = 1 - exp(-1 / (0.050 * srate));

@slider
att = exp(-1 / (slider11 * srate / 1000));
rel = (slider12 == 0) ? 0 : exp(-1 / (slider12 * srate / 1000));

@sample
s0 = spl0;
slider18 ? (hp_f=40*2*$pi/srate; hp_in+=(s0-hp_in)*hp_f; s0-=hp_in;);
f = 150/srate;
lp1+=(s0-lp1)*f; b1=lp1;
lp2+=(s0-lp2)*f*4; b2=lp2-lp1;
lp3+=(s0-lp3)*f*20; b3=lp3-lp2;
lp4+=(s0-lp4)*f*53; b4=lp4-lp3;
b5=s0-lp4;
slider17 ? (
e1+=(b1*b1-e1)*rms_f; r1=sqrt(max(0,e1)); e2+=(b2*b2-e2)*rms_f; r2=sqrt(max(0,e2));
e3+=(b3*b3-e3)*rms_f; r3=sqrt(max(0,e3)); e4+=(b4*b4-e4)*rms_f; r4=sqrt(max(0,e4));
e5+=(b5*b5-e5)*rms_f; r5=sqrt(max(0,e5));
) : (
r1=r1*rel+abs(b1)*(1-rel); r2=r2*rel+abs(b2)*(1-rel); r3=r3*rel+abs(b3)*(1-rel);
r4=r4*rel+abs(b4)*(1-rel); r5=r5*rel+abs(b5)*(1-rel);
);
function calc_g(r_in, t_db, gn, f_lv) (
r_db = 20*log10(r_in+0.000001); diff = r_db - t_db;
diff >= 0 ? 1 : (diff <= -gn ? f_lv : f_lv + (1-f_lv) * ((diff + gn) / gn));
);
gn = slider15; f_v = slider13;
g1=g1*att + calc_g(r1, slider1, gn, f_v)*(1-att);
g2=g2*att + calc_g(r2, slider2, gn, f_v)*(1-att);
g3=g3*att + calc_g(r3, slider3, gn, f_v)*(1-att);
g4=g4*att + calc_g(r4, slider4, gn, f_v)*(1-att);
g5=g5*att + calc_g(r5, slider5, gn, f_v)*(1-att);
out_sum = b1*g1+b2*g2+b3*g3+b4*g4+b5*g5;
slider20 ? (spl0=spl1=(s0 - out_sum);) : (spl0=spl1=out_sum;);
learn_start > 0 ? (
elap = time_precise() - learn_start;
elap < slider14 ? (
p1=max(p1,r1); p2=max(p2,r2); p3=max(p3,r3); p4=max(p4,r4); p5=max(p5,r5);
) : (
slider1=20*log10(p1)+3; slider2=20*log10(p2)+3; slider3=20*log10(p3)+3;
slider4=20*log10(p4)+3; slider5=20*log10(p5)+3;
slider_automate(31); learn_start = -1;
);
);
(time_precise() - last_v > 0.04) ? (
gmem[0]=r1; gmem[1]=r2; gmem[2]=r3; gmem[3]=r4; gmem[4]=r5;
gmem[10]=g1; gmem[11]=g2; gmem[12]=g3; gmem[13]=g4; gmem[14]=g5;
last_v = time_precise();
);
@gfx 840 640
gfx_r=0.02; gfx_g=0.01; gfx_b=0.01; gfx_rect(0,0,gfx_w,gfx_h);
m_w = gfx_w / 5; v_h = gfx_h * 0.48; btn_y = v_h + 80; sld_y = btn_y + 80; pad = m_w * 0.25;
click=(mouse_cap==1 && m_latch==0); m_latch=(mouse_cap==1);
mouse_cap == 1 ? (
mouse_y < v_h ? (
idx=floor(mouse_x/m_w); idx>=0 && idx<5 ? (slider(idx+1)=max(-100, min(0, (1-mouse_y/v_h)*100-100)););
) : (
mouse_y > sld_y ? (
pct = max(0, min(1, (mouse_x - (gfx_w*0.35)) / (gfx_w*0.5)));
mouse_y < sld_y + 25 ? slider11=pct*100 : mouse_y < sld_y + 50 ? slider12=pct*1000 : mouse_y < sld_y + 75 ? slider13=pct : slider15=1 + pct*23;
);
);
);
click ? (
bw = gfx_w / 4.2;
mouse_y > btn_y && mouse_y < btn_y + 45 ? (
mouse_x > bw*0.6 && mouse_x < bw ? (
slider14 == 5 ? slider14 = 10 : slider14 == 10 ? slider14 = 20 : slider14 == 20 ? slider14 = 30 : slider14 == 30 ? slider14 = 60 : slider14 = 5;
slider_automate(slider14);
) :
mouse_x < bw*0.6 ? (learn_start=time_precise(); p1=p2=p3=p4=p5=0.00001;) :
mouse_x < bw*2 ? slider17=!slider17 : mouse_x < bw*3 ? slider18=!slider18 : slider20=!slider20;
);
);
i=0; loop(5,
curr_t = slider(i+1); t_px = v_h-((curr_t+100)/100)*v_h;
f_l=(i==0?"Rumble":i==1?"Mud":i==2?"Presence":i==3?"Hiss":"Air");
gfx_r=1; gfx_g=0.9; gfx_b=0.2; gfx_a=0.9; gfx_x=i*m_w+(m_w/2)-35; gfx_y=v_h+15; gfx_drawstr(f_l);
rv=gmem[i]; gv=gmem[i+10]; h_m=((20*log10(rv+0.000001)+100)/100)*v_h; d_h=(1-gv)*h_m;
gfx_r=1; gfx_g=0.2; gfx_b=0.5; gfx_a=0.4; gfx_rect(i*m_w+pad, v_h-h_m, m_w-(pad*2), d_h);
gv < slider13+0.01?(gfx_r=0.8;gfx_g=1;gfx_b=0.1;gfx_a=0.5):(gfx_a=0.6; i<2?(gfx_r=1;gfx_g=0.4;gfx_b=0.1):i<4?(gfx_r=1;gfx_g=0.1;gfx_b=0.3):(gfx_r=1;gfx_g=0.1;gfx_b=0.6););
gfx_rect(i*m_w+pad, v_h-h_m+d_h, m_w-(pad*2), h_m-d_h);
gfx_a=1; gfx_r=1; gfx_g=0.3; gfx_b=0.1; gfx_roundrect(i*m_w+(pad/2), t_px-6, m_w-pad, 12, 2, 0);
i += 1;
);
bw = gfx_w / 4.2;
function draw_b(x,y,w,h,lbl,st) (
st?(gfx_r=1;gfx_g=0.3;gfx_b=0.1;):(gfx_r=0.4;gfx_g=0.1;gfx_b=0.1;);
gfx_roundrect(x+8,y,w-16,h,2,0); gfx_r=1; gfx_a=1; gfx_x=x+15; gfx_y=y+(h/2)-6; gfx_drawstr(lbl);
);
draw_b(0, btn_y, bw*0.6, 45, "LEARN", learn_start>0);
gfx_r=0.4; gfx_g=0.1; gfx_b=0.1;
gfx_roundrect(bw*0.6+5, btn_y, bw*0.4-10, 45, 2, 0);
gfx_r=1; gfx_x=bw*0.6+12; gfx_y=btn_y+16; gfx_drawstr(sprintf(#, "%ds", slider14));
draw_b(bw, btn_y, bw, 45, (slider17 ? "MODE: RMS" : "MODE: PEAK"), slider17);
draw_b(bw*2, btn_y, bw, 45, "LO-CUT", slider18);
draw_b(bw*3, btn_y, bw*1.2, 45, "LISTEN NOISE", slider20);
function draw_n(x,y,p,l,v,u) (
sw = gfx_w * 0.5; gfx_r=0.2; gfx_g=0.1; gfx_b=0.1; gfx_rect(x,y,sw,18);
gfx_gradrect(x,y,p*sw,18, 1,0.2,0,0.7, 0.001,0.005,0.001,0,0,0,0);
gfx_r=1; gfx_g=0.9; gfx_b=0.8; gfx_a=0.9; gfx_x=x-(gfx_w*0.18); gfx_y=y+3; gfx_drawstr(l);
gfx_x=x+sw+15; gfx_drawnumber(v,(u=="ms"?0:1)); gfx_drawstr(u);
);
sx = gfx_w * 0.35;
draw_n(sx, sld_y, slider11/100, "ATTACK", slider11, "ms");
draw_n(sx, sld_y+25, slider12/1000, "RELEASE", slider12, "ms");
draw_n(sx, sld_y+50, slider13, "FLOOR", slider13*100, "%");
draw_n(sx, sld_y+75, (slider15-1)/23, "GRADIENT", slider15, "dB");
learn_start > 0 ? (
gfx_r=0.1; gfx_g=0.02; gfx_b=0.02; gfx_a=0.95;
gfx_rect(gfx_w/2-140, v_h/2-60, 280, 100, 1);
gfx_r=1; gfx_g=0.3; gfx_b=0.1; gfx_a=1;
gfx_roundrect(gfx_w/2-140, v_h/2-60, 280, 100, 2, 0);
gfx_x=gfx_w/2-110; gfx_y=v_h/2-40; gfx_drawstr("ANALYZING NOISE...");
gfx_x=gfx_w/2-15; gfx_y=v_h/2; gfx_drawnumber(max(0, slider14-(time_precise()-learn_start)), 0);
);
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