Add a tool that measures emotes from a store's 3D preview

tools/capture drives a store page's skin viewer in headless Firefox, stepping its clock one tick at
a time and taking every tick from ten fixed cameras. It then fits our own rig to the frames by
rendering the model (a Python port of LimbBend and PoseApplier) and matching outlines and colours,
and writes the result as Emotecraft JSON. It measures pixels only and never reads the page's
animation data. The README covers the steps, the checks and the limits.

Co-Authored-By: Claude Opus 5.5 <[email protected]>
This commit is contained in:
2026-09-29 16:55:08 +02:00
co-authored by claude
parent 7f8de39253
commit df9a2587e6
19 changed files with 1785 additions and 0 deletions
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"""Tiles frames into a contact sheet: rows are views, columns are ticks, cropped to the player."""
import sys
from pathlib import Path
import numpy as np
from PIL import Image
name, views, ticks = sys.argv[1], sys.argv[2].split(","), range(*map(int, sys.argv[3].split(":")))
out = sys.argv[4] if len(sys.argv) > 4 else "sheet.png"
frames = [[Image.open(Path("frames") / name / v / f"{t:04d}.png") for t in ticks] for v in views]
alpha = np.maximum.reduce([np.asarray(f)[:, :, 3] for row in frames for f in row])
ys, xs = np.nonzero(alpha)
box = (xs.min() - 4, ys.min() - 4, xs.max() + 4, ys.max() + 4)
w, h = box[2] - box[0], box[3] - box[1]
sheet = Image.new("RGBA", (w * len(ticks), h * len(views)), (40, 40, 52, 255))
for r, row in enumerate(frames):
for c, f in enumerate(row):
sheet.alpha_composite(f.crop(box), (c * w, r * h))
sheet.save(out)
print(sheet.size)