STER / code /fix_sigmod_v2.py
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#!/usr/bin/env python3
"""
Fix all 18 city datasets to SIGMOD-compatible object_dict format.
Dutch cities: download lod12 + lod22 joblibs → combine as cands/index
Tokyo/Kansai: download object_dict_combined.joblib → fix mesh records
SIGMOD format:
{'cands': {id: {'polygon_mesh': [...], 'vertices': array, 'centroid': array}},
'index': {id: {'polygon_mesh': [...], 'vertices': array, 'centroid': array}},
'mapping_dict': {'cands': {int→id}, 'index': {int→id}},
'inv_mapping_dict': {'cands': {id→int}, 'index': {id→int}}}
"""
import os, sys, gc, numpy as np
from huggingface_hub import hf_hub_download, HfApi
api = HfApi()
REPO = "eduzrh/STER"
TMPDIR = "/root/autodl-tmp/fix_tmp"
os.makedirs(TMPDIR, exist_ok=True)
DUTCH = ["amsterdam", "rotterdam", "hague", "utrecht", "eindhoven", "groningen", "maastricht"]
JAPAN = ["chiyoda", "shinjuku", "setagaya", "chuo", "ota", "minato", "bunkyo", "koto",
"kyoto", "osaka", "sakai"]
def compute_vertices_centroid(mesh):
"""Given polygon_mesh (list of surfaces as [[x,y,z],...]), return (unique_vertices, centroid)."""
if isinstance(mesh, dict):
mesh = mesh.get("polygon_mesh", [])
if not mesh:
return np.zeros((0, 3), dtype=np.float64), np.zeros(3, dtype=np.float64)
all_v = []
for surf in mesh:
if isinstance(surf, (list, np.ndarray)) and len(surf) >= 3:
all_v.extend(surf)
if not all_v:
return np.zeros((0, 3), dtype=np.float64), np.zeros(3, dtype=np.float64)
arr = np.asarray(all_v, dtype=np.float64)
unique = np.unique(arr, axis=0)
centroid = unique.mean(axis=0)
return unique, centroid
def fix_mesh_records(side_dict):
"""Convert {id: mesh} to {id: {polygon_mesh, vertices, centroid}}."""
fixed = {}
for bid, mesh in side_dict.items():
pm = mesh.get("polygon_mesh", mesh) if isinstance(mesh, dict) else mesh
vertices, centroid = compute_vertices_centroid(pm)
fixed[bid] = {
'polygon_mesh': pm,
'vertices': vertices,
'centroid': centroid,
}
return fixed
def build_object_dict(cands_dict, index_dict):
"""Build full SIGMOD object_dict from two side dicts."""
fixed_cands = fix_mesh_records(cands_dict)
fixed_index = fix_mesh_records(index_dict)
od = {'cands': fixed_cands, 'index': fixed_index}
od['mapping_dict'] = {
'cands': {i: k for i, k in enumerate(sorted(fixed_cands))},
'index': {i: k for i, k in enumerate(sorted(fixed_index))},
}
od['inv_mapping_dict'] = {
'cands': {k: i for i, k in enumerate(sorted(fixed_cands))},
'index': {k: i for i, k in enumerate(sorted(fixed_index))},
}
return od
def download_file(city, fname):
"""Download a file from HF and return local path."""
local = os.path.join(TMPDIR, f"{city}_{fname}")
if os.path.exists(local):
os.unlink(local)
try:
# Try direct download
path = hf_hub_download(REPO, f"data/{city}/{fname}", repo_type="dataset",
cache_dir=TMPDIR, local_files_only=False)
# Copy to our temp location
import shutil
shutil.copy(path, local)
return local
except Exception as e:
print(f" ERROR downloading {fname}: {e}")
return None
def process_dutch(city):
"""Fix one Dutch city: lod12→cands, lod22→index."""
import joblib
print(f"\n{'='*60}")
print(f"[{city}] Dutch format: merging lod12 + lod22")
# Download
p12 = download_file(city, "object_dict_lod12.joblib")
p22 = download_file(city, "object_dict_lod22.joblib")
if not p12 or not p22:
return False
mb12 = os.path.getsize(p12)/1e6
mb22 = os.path.getsize(p22)/1e6
print(f" lod12: {mb12:.1f} MB, lod22: {mb22:.1f} MB")
od12 = joblib.load(p12)
od22 = joblib.load(p22)
print(f" lod12: {len(od12)} buildings, lod22: {len(od22)} buildings")
# Find common buildings
common = sorted(set(od12) & set(od22))
print(f" Common (both LODs): {len(common)}")
# Build SIGMOD dict
cands = {bid: od12[bid] for bid in common}
index = {bid: od22[bid] for bid in common}
od = build_object_dict(cands, index)
print(f" Built: cands={len(od['cands'])}, index={len(od['index'])}")
# Verify
sid = next(iter(od['cands']))
s = od['cands'][sid]
print(f" Sample: keys={list(s.keys())}, vertices shape={s['vertices'].shape}, centroid={s['centroid']}")
# Save
local = os.path.join(TMPDIR, f"{city}_object_dict_raw.joblib")
joblib.dump(od, local, compress=3)
new_mb = os.path.getsize(local)/1e6
print(f" Saved: {new_mb:.1f} MB (was {mb12+mb22:.1f} MB)")
# Upload
print(f" Uploading...")
api.upload_file(path_or_fileobj=local, path_in_repo=f"data/{city}/object_dict_raw.joblib",
repo_id=REPO, repo_type="dataset")
print(f" Done.")
os.unlink(p12); os.unlink(p22); os.unlink(local)
gc.collect()
return True
def process_japan(city):
"""Fix one Japan city: fix mesh records in existing combined joblib."""
import joblib
print(f"\n{'='*60}")
print(f"[{city}] Japan format: fixing mesh records")
p = download_file(city, "object_dict_combined.joblib")
if not p:
return False
mb = os.path.getsize(p)/1e6
print(f" Size: {mb:.1f} MB")
od = joblib.load(p)
print(f" Keys: {list(od.keys())}")
if 'cands' not in od or 'index' not in od:
print(f" ERROR: missing cands/index keys")
os.unlink(p)
return False
print(f" cands: {len(od['cands'])}, index: {len(od['index'])}")
# Fix
fixed = build_object_dict(od['cands'], od['index'])
print(f" Fixed: cands={len(fixed['cands'])}, index={len(fixed['index'])}")
sid = next(iter(fixed['cands']))
s = fixed['cands'][sid]
print(f" Sample: keys={list(s.keys())}, vertices shape={s['vertices'].shape}")
local = os.path.join(TMPDIR, f"{city}_object_dict_raw.joblib")
joblib.dump(fixed, local, compress=3)
new_mb = os.path.getsize(local)/1e6
print(f" Saved: {new_mb:.1f} MB")
print(f" Uploading...")
api.upload_file(path_or_fileobj=local, path_in_repo=f"data/{city}/object_dict_raw.joblib",
repo_id=REPO, repo_type="dataset")
print(f" Done.")
os.unlink(p); os.unlink(local)
gc.collect()
return True
if __name__ == "__main__":
import sys
city_arg = sys.argv[1] if len(sys.argv) > 1 else None
if city_arg:
if city_arg in DUTCH:
process_dutch(city_arg)
elif city_arg in JAPAN:
process_japan(city_arg)
else:
print(f"Unknown: {city_arg}")
else:
for city in JAPAN:
try:
process_japan(city)
except Exception as e:
print(f"[{city}] FAILED: {e}")
for city in DUTCH:
try:
process_dutch(city)
except Exception as e:
print(f"[{city}] FAILED: {e}")
print("\n=== ALL DONE ===")