Three Kingdoms: Warlord's Fate — complete playable game

- 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)

shots_analysis/crop.py

@@ -0,0 +1,27 @@
+#!/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)")