File size: 7,185 Bytes
31e731e | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 | #!/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 ===")
|