#!/usr/bin/env python3 """Build the dataset indexes: walk every .glb once and write both CSVs. Reads only each file's glTF JSON chunk, so the whole collection is probed in seconds regardless of total size. python3 build_dataset.py [--src DIR] [--link] --link additionally hardlinks the source assets into ../glb/. """ import argparse, csv, json, os, re, shutil, sys, time HERE = os.path.dirname(os.path.abspath(__file__)); sys.path.insert(0, HERE) from glb_probe import read_gltf_json, probe ROOT = os.path.dirname(HERE) XL = re.compile(r"^([0-9a-f]{24})_(fbx|glb|gltf)\.glb$") SKFB = re.compile(r"^([0-9a-f]{32})\.glb$") ASSET_COLS = ["file", "object_id", "id_family", "source_format", "size_bytes", "num_vertices", "num_meshes", "num_nodes", "num_joints", "num_skeleton_roots", "single_tree", "num_animations", "total_duration_sec", "max_keyframes", "animated_joints", "generator"] CLIP_COLS = ["file", "object_id", "clip_index", "clip_name", "duration_sec", "keyframes", "num_channels", "animated_nodes", "animated_joints", "drives_skeleton"] def identify(fname): m = XL.match(fname) if m: return m.group(1), m.group(2), "objaverse_xl" s = SKFB.match(fname) if s: return s.group(1), "", "objaverse_sketchfab" return os.path.splitext(fname)[0], "", "unknown" def clips_of(gltf, joints): accs = gltf.get("accessors", []) or [] for i, a in enumerate(gltf.get("animations", []) or []): dur = kf = 0 for smp in (a.get("samplers") or []): k = smp.get("input") if k is None or k >= len(accs): continue acc = accs[k] kf = max(kf, acc.get("count", 0) or 0) mx = acc.get("max") if isinstance(mx, list) and mx: try: dur = max(dur, float(mx[0])) except (TypeError, ValueError): pass tgt = {(c.get("target") or {}).get("node") for c in (a.get("channels") or [])} tgt.discard(None) yield {"clip_index": i, "clip_name": (a.get("name") or "")[:120], "duration_sec": round(dur, 4), "keyframes": kf, "num_channels": len(a.get("channels") or []), "animated_nodes": len(tgt), "animated_joints": len(tgt & joints)} def main(): ap = argparse.ArgumentParser() ap.add_argument("--src", default=os.path.join(ROOT, "glb")) ap.add_argument("--link", action="store_true", help="hardlink --src assets into ../glb/") args = ap.parse_args() if args.link and os.path.abspath(args.src) != os.path.abspath(os.path.join(ROOT, "glb")): dst = os.path.join(ROOT, "glb"); os.makedirs(dst, exist_ok=True) for f in sorted(os.listdir(args.src)): if f.endswith(".glb") and not os.path.exists(os.path.join(dst, f)): try: os.link(os.path.join(args.src, f), os.path.join(dst, f)) except OSError: shutil.copy2(os.path.join(args.src, f), os.path.join(dst, f)) args.src = dst files = sorted(f for f in os.listdir(args.src) if f.endswith(".glb")) t0 = time.time(); assets = []; clips = []; failed = [] for n, f in enumerate(files, 1): path = os.path.join(args.src, f) oid, fmt, fam = identify(f) try: info = probe(path) _, gltf = read_gltf_json(path) except Exception as e: failed.append((f, str(e)[:80])); continue joints = set() for s in (gltf.get("skins", []) or []): joints.update(s.get("joints") or []) cs = list(clips_of(gltf, joints)) for c in cs: c.update(file="glb/" + f, object_id=oid, drives_skeleton=str(c["animated_joints"] > 0).lower()) clips.append(c) assets.append({ "file": "glb/" + f, "object_id": oid, "id_family": fam, "source_format": fmt, "size_bytes": os.path.getsize(path), "num_vertices": info["num_vertices"], "num_meshes": info["num_meshes"], "num_nodes": info["num_nodes"], "num_joints": info["num_joints"], "num_skeleton_roots": info["num_skeleton_roots"], "single_tree": str(info["num_skeleton_roots"] == 1).lower(), "num_animations": info["num_animations"], "total_duration_sec": round(sum(c["duration_sec"] for c in cs), 4), "max_keyframes": info["max_keyframes"], "animated_joints": info["animated_joints"], "generator": info["generator"], }) if n % 2000 == 0: print(" %d/%d %.0fs" % (n, len(files), time.time() - t0), flush=True) for name, cols, rows in (("metadata.csv", ASSET_COLS, assets), ("animations.csv", CLIP_COLS, clips)): with open(os.path.join(ROOT, name), "w", newline="", encoding="utf-8") as fh: w = csv.DictWriter(fh, fieldnames=cols); w.writeheader() w.writerows({k: r.get(k, "") for k in cols} for r in rows) print("%-15s -> %d rows" % (name, len(rows))) if failed: print("failed: %d" % len(failed)) for f, e in failed[:5]: print(" ", f, e) print("%.0fs" % (time.time() - t0)) if __name__ == "__main__": main()