deepseek
f040bb6be0
- Stylized 3D ink-painting map of China (12 provinces, 32 cities, 17 factions) - Custom warlord creation (8 origins, banner, starting city) or historical factions - City management: 7 buildings, 5 dev tiers, recruitment from levies - Character system: stats, traits, loyalty, relationships, wounds, capture, death, succession - Turn-based tactical battles with formations, stances, hero skills, cinematic 3D replay - Sieges: assault, starvation, bribery, infiltration - Diplomacy with trust memory, alliances, NAPs, trade, marriage, espionage, betrayal - Scripted diverging history (Dong Zhuo, Guandu, Red Cliffs...) + world crises + court events - AI factions with distinct personalities; prisoners (execute/release/recruit/ransom) - Procedural guqin/taiko WebAudio score; save/load; victory + dynasty chronicle screens - View-relative camera controls; headless test suites (smoke, stress, map validator)
28 lines
1.3 KiB
Python
28 lines
1.3 KiB
Python
#!/usr/bin/env python3
|
|
"""Zoom into a region: upscale, stats, OCR."""
|
|
import sys, subprocess
|
|
from PIL import Image
|
|
import numpy as np
|
|
|
|
path, x, y, w, h = sys.argv[1], int(sys.argv[2]), int(sys.argv[3]), int(sys.argv[4]), int(sys.argv[5])
|
|
scale = int(sys.argv[6]) if len(sys.argv) > 6 else 3
|
|
im = Image.open(path).convert("RGB")
|
|
W, H = im.size
|
|
x0, y0 = max(0, x), max(0, y)
|
|
x1, y1 = min(W, x + w), min(H, y + h)
|
|
crop = im.crop((x0, y0, x1, y1))
|
|
arr = np.asarray(crop).astype(float)
|
|
print(f"region ({x0},{y0})-({x1},{y1}): mean RGB={arr.reshape(-1,3).mean(0).round(1)} "
|
|
f"lum={0.2126*arr[...,0].mean()/255+0.7152*arr[...,1].mean()/255+0.0722*arr[...,2].mean()/255:.3f} "
|
|
f"std={arr.std():.1f} max={arr.max():.0f}")
|
|
# brightest structures: threshold above local background
|
|
g = np.asarray(crop.convert("L"))
|
|
for pct in (99, 99.9):
|
|
print(f" p{pct} gray={np.percentile(g, pct):.0f}")
|
|
big = crop.resize((crop.width * scale, crop.height * scale), Image.LANCZOS)
|
|
big.save("/tmp/crop.png")
|
|
p = subprocess.run(["tesseract", "/tmp/crop.png", "stdout", "-l", "eng+chi_sim", "--psm", "11"],
|
|
capture_output=True, text=True)
|
|
txt = [ln.strip() for ln in p.stdout.splitlines() if ln.strip() and len(ln.strip()) > 1]
|
|
print("zoomed OCR:", txt if txt else "(nothing)")
|