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#!/usr/bin/env python3
# /// script
# requires-python = ">=3.10"
# dependencies = ["matplotlib"]
# ///
"""Generate CNN v3 U-Net + FiLM architecture diagram → cnn_v3_architecture.png"""
import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as plt
import matplotlib.patches as mpatches
from matplotlib.patches import FancyBboxPatch
from matplotlib.path import Path
import matplotlib.patheffects as pe
# ---------------------------------------------------------------------------
# Canvas
# ---------------------------------------------------------------------------
BG = '#0F172A'
fig = plt.figure(figsize=(17, 10), facecolor=BG)
ax = fig.add_axes([0, 0, 1, 1], facecolor=BG)
ax.set_xlim(0, 17)
ax.set_ylim(0, 10)
ax.axis('off')
# ---------------------------------------------------------------------------
# Palette
# ---------------------------------------------------------------------------
C_ENC = '#3B82F6' # encoder — blue
C_BN = '#8B5CF6' # bottleneck — violet
C_DEC = '#10B981' # decoder — emerald
C_MLP = '#EC4899' # FiLM MLP — pink
C_FILM = '#F59E0B' # FiLM γ/β arrows — amber
C_IO = '#475569' # input/output — slate
C_SKP = '#F97316' # skip connections — orange
C_ARR = '#94A3B8' # main flow arrows — cool-grey
C_TXT = '#F1F5F9' # text — near-white
C_DIM = '#64748B' # dim labels — slate
# ---------------------------------------------------------------------------
# Geometry — two-column U layout
# ---------------------------------------------------------------------------
EX, DX = 3.8, 13.2 # encoder / decoder centre-x
BX = 8.5 # bottleneck centre-x
BW = 4.6 # block width (enc / dec)
BH = 0.95 # block height (enc / dec)
BW_BN = 5.4 # bottleneck wider
BH_BN = 0.95
BH_IO = 0.72
# y positions (top = high number)
Y_IN = 8.90
Y_E0 = 7.50 # enc0 full res
Y_E1 = 5.80 # enc1 ½ res
Y_BN = 3.20 # bottleneck ¼ res
Y_D1 = 5.80 # dec1 ½ res
Y_D0 = 7.50 # dec0 full res
Y_OUT = 8.90
Y_MLP = 1.25 # FiLM MLP
# ---------------------------------------------------------------------------
# Helpers
# ---------------------------------------------------------------------------
def box(cx, cy, w, h, color, line1, line2='', lfs=9.5, sfs=8.0, alpha=0.92):
r = FancyBboxPatch((cx - w/2, cy - h/2), w, h,
boxstyle='round,pad=0.10',
fc=color, ec='white', lw=1.3, alpha=alpha, zorder=3)
ax.add_patch(r)
dy = 0.18 if line2 else 0
ax.text(cx, cy + dy, line1, ha='center', va='center',
fontsize=lfs, fontweight='bold', color='white', zorder=4,
fontfamily='DejaVu Sans Mono')
if line2:
ax.text(cx, cy - 0.18, line2, ha='center', va='center',
fontsize=sfs, color='white', alpha=0.80, zorder=4)
def arrow(x0, y0, x1, y1, color=C_ARR, lw=1.8, dashed=False,
rad=0.0, label='', lx=None, ly=None):
ls = (0, (5, 3)) if dashed else 'solid'
cs = f'arc3,rad={rad}' if rad else 'arc3,rad=0'
ax.annotate('', xy=(x1, y1), xytext=(x0, y0),
arrowprops=dict(arrowstyle='->', color=color, lw=lw,
linestyle=ls, mutation_scale=13,
connectionstyle=cs),
zorder=2)
if label:
ax.text(lx if lx else (x0+x1)/2,
ly if ly else (y0+y1)/2,
label, ha='center', va='center', fontsize=7.5,
color=color, zorder=5,
bbox=dict(fc=BG, ec='none', alpha=0.75,
boxstyle='round,pad=0.15'))
def dim_label(x, y, txt):
ax.text(x, y, txt, ha='center', va='center',
fontsize=8.5, color=C_DIM, style='italic')
# ---------------------------------------------------------------------------
# Blocks
# ---------------------------------------------------------------------------
box(EX, Y_IN, BW, BH_IO, C_IO, 'G-Buffer Features',
'20 channels · full res')
box(EX, Y_E0, BW, BH, C_ENC, 'enc0 Conv(20→4, 3×3) + FiLM + ReLU',
'full res · 4 ch')
box(EX, Y_E1, BW, BH, C_ENC, 'enc1 Conv(4→8, 3×3) + FiLM + ReLU',
'½ res · 8 ch · (AvgPool↓ on input)')
box(BX, Y_BN, BW_BN, BH_BN, C_BN,
'bottleneck Conv(8→8, 3×3, dilation=2) + ReLU',
'¼ res · 8 ch · no FiLM · effective RF ≈ 10 px @ ½res')
box(DX, Y_D1, BW, BH, C_DEC, 'dec1 Conv(16→4, 3×3) + FiLM + ReLU',
'½ res · 4 ch · (upsample↑ + cat enc1 skip)')
box(DX, Y_D0, BW, BH, C_DEC, 'dec0 Conv(8→4, 3×3) + FiLM + sigmoid',
'full res · 4 ch · (upsample↑ + cat enc0 skip)')
box(DX, Y_OUT, BW, BH_IO, C_IO, 'RGBA Output',
'4 channels · full res')
box(BX, Y_MLP, 9.2, 1.10, C_MLP,
'FiLM MLP Linear(5→16) → ReLU → Linear(16→40)',
'in: beat_phase · beat_norm · audio_intensity · style_p0 · style_p1'
' → γ/β (×2) for enc0(4) enc1(8) dec1(4) dec0(4) = 40 values',
sfs=7.5)
# ---------------------------------------------------------------------------
# Main-flow arrows
# ---------------------------------------------------------------------------
# Input → enc0
arrow(EX, Y_IN - BH_IO/2 - .04, EX, Y_E0 + BH/2 + .04)
# enc0 → enc1 (AvgPool label beside)
arrow(EX, Y_E0 - BH/2 - .04, EX, Y_E1 + BH/2 + .04,
label='AvgPool\n 2×2', lx=EX + 0.72, ly=(Y_E0 + Y_E1)/2)
# enc1 → bottleneck (curve down-right)
arrow(EX, Y_E1 - BH/2 - .04,
BX - BW_BN/2 - .04, Y_BN,
rad=-0.28,
label='AvgPool\n 2×2', lx=(EX + BX)/2 - 0.5, ly=Y_BN + 0.90)
# bottleneck → dec1 (curve right-up)
arrow(BX + BW_BN/2 + .04, Y_BN,
DX, Y_D1 - BH/2 - .04,
rad=-0.28,
label='upsample\n 2×', lx=(BX + DX)/2 + 0.5, ly=Y_D1 - 0.90)
# dec1 → dec0
arrow(DX, Y_D1 + BH/2 + .04, DX, Y_D0 - BH/2 - .04,
label='upsample\n 2×', lx=DX - 0.72, ly=(Y_D1 + Y_D0)/2)
# dec0 → output
arrow(DX, Y_D0 + BH/2 + .04, DX, Y_OUT - BH_IO/2 - .04)
# ---------------------------------------------------------------------------
# Skip connections
# ---------------------------------------------------------------------------
# enc0 skip → dec0
arrow(EX + BW/2 + .04, Y_E0,
DX - BW/2 - .04, Y_D0,
color=C_SKP, lw=1.6, dashed=True,
label='skip enc0 (4 ch)', ly=Y_E0 + 0.40)
# enc1 skip → dec1
arrow(EX + BW/2 + .04, Y_E1,
DX - BW/2 - .04, Y_D1,
color=C_SKP, lw=1.6, dashed=True,
label='skip enc1 (8 ch)', ly=Y_E1 + 0.40)
# ---------------------------------------------------------------------------
# FiLM γ/β arrows (MLP → each FiLM layer)
# ---------------------------------------------------------------------------
film_targets = [
(EX, Y_E0 - BH/2 - .04), # enc0 bottom
(EX, Y_E1 - BH/2 - .04), # enc1 bottom
(DX, Y_D1 - BH/2 - .04), # dec1 bottom
(DX, Y_D0 - BH/2 - .04), # dec0 bottom
]
for tx, ty in film_targets:
ax.annotate('', xy=(tx, ty),
xytext=(BX + (tx - BX) * 0.05, Y_MLP + 0.55 + .04),
arrowprops=dict(arrowstyle='->', color=C_FILM, lw=1.2,
linestyle=(0, (3, 3)), mutation_scale=10,
connectionstyle='arc3,rad=0.18'),
zorder=2)
ax.text(8.5, 4.30, 'γ / β', ha='center', va='center',
fontsize=9, color=C_FILM, alpha=0.85, style='italic', zorder=5)
# ---------------------------------------------------------------------------
# Resolution markers (left margin)
# ---------------------------------------------------------------------------
for y, lbl in [(Y_E0, 'full res'), (Y_E1, '½ res'), (Y_BN, '¼ res')]:
dim_label(0.62, y, lbl)
ax.plot([0.95, 1.10], [y, y], color=C_DIM, lw=0.8, zorder=1)
# ---------------------------------------------------------------------------
# Legend
# ---------------------------------------------------------------------------
legend_items = [
mpatches.Patch(fc=C_ENC, ec='white', lw=0.8, label='Encoder'),
mpatches.Patch(fc=C_BN, ec='white', lw=0.8, label='Bottleneck'),
mpatches.Patch(fc=C_DEC, ec='white', lw=0.8, label='Decoder'),
mpatches.Patch(fc=C_MLP, ec='white', lw=0.8, label='FiLM MLP'),
mpatches.Patch(fc=C_IO, ec='white', lw=0.8, label='I/O'),
plt.Line2D([0], [0], color=C_SKP, lw=1.6, ls='--', label='Skip connection'),
plt.Line2D([0], [0], color=C_FILM, lw=1.2, ls=(0, (3,3)), label='FiLM γ/β'),
]
leg = ax.legend(handles=legend_items, loc='lower right',
bbox_to_anchor=(0.99, 0.01),
framealpha=0.15, facecolor=BG, edgecolor=C_DIM,
fontsize=8, labelcolor=C_TXT, ncol=1)
# ---------------------------------------------------------------------------
# Title
# ---------------------------------------------------------------------------
ax.text(8.5, 9.68, 'CNN v3 — U-Net + FiLM Architecture',
ha='center', va='center', fontsize=14, fontweight='bold', color=C_TXT)
# ---------------------------------------------------------------------------
# Save
# ---------------------------------------------------------------------------
import pathlib
out = pathlib.Path(__file__).parent / 'cnn_v3_architecture.png'
fig.savefig(out, dpi=180, bbox_inches='tight', facecolor=BG, edgecolor='none')
print(f'Saved → {out} ({out.stat().st_size // 1024} KB)')
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