Initial commit: RE tooling and docs for The I of the Dragon localization/HD

2026-09-20 09:57:07 +08:00
commit caf7376019
26 changed files with 1624 additions and 0 deletions
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+import argparse, csv, collections
+
+
+def decide(flags, fourcc):
+    fs = set(flags.split(";")) if flags else set()
+    if "font_atlas" in fs or "non_texture" in fs:
+        return "skip", "font atlas uses fixed pixel rects in Fonts.dat / not a texture"
+    if "text_baked" in fs:
+        return "review", "text baked in image (must be redrawn, AI will garble text)"
+    if "ui_atlas" in fs:
+        return "review", "UI atlas, may have fixed pixel coordinates"
+    if "tiling_likely" in fs:
+        return "upscale_tiling", "tileable: use seamless/tiling-aware upscale"
+    return "upscale", ""
+
+
+def main():
+    ap = argparse.ArgumentParser(description="Build an upscale plan csv from the preprocessing report.")
+    ap.add_argument("--report", required=True)
+    ap.add_argument("--out", required=True)
+    ap.add_argument("--scale", type=int, default=2)
+    args = ap.parse_args()
+
+    rows = list(csv.DictReader(open(args.report, newline="", encoding="utf-8")))
+    out = []
+    counts = collections.Counter()
+    for r in rows:
+        action, reason = decide(r.get("flags", ""), r.get("dds_fourcc", ""))
+        counts[action] += 1
+        try:
+            w = int(r["orig_w"]); h = int(r["orig_h"])
+            tw, th = w * args.scale, h * args.scale
+        except Exception:
+            tw = th = ""
+        out.append({
+            "name": r["name"],
+            "png": r["png"],
+            "orig_w": r["orig_w"], "orig_h": r["orig_h"],
+            "target_w": tw, "target_h": th,
+            "has_alpha": r.get("has_alpha", ""),
+            "dds_fourcc": r.get("dds_fourcc", ""),
+            "dds_mips": r.get("dds_mips", ""),
+            "group": r.get("group", ""),
+            "action": action,
+            "reason": reason,
+        })
+    with open(args.out, "w", newline="", encoding="utf-8") as f:
+        wtr = csv.DictWriter(f, fieldnames=list(out[0].keys()))
+        wtr.writeheader()
+        wtr.writerows(out)
+    print("plan written:", args.out)
+    for k, v in counts.most_common():
+        print("  %-16s %d" % (k, v))
+
+
+if __name__ == "__main__":
+    main()