City3D-MultiGen / scripts /holicity /convert_coord.py
e32's picture
Initial release: reconstruction pipeline + metadata
e95f494 verified
Raw
History Blame Contribute Delete
6.14 kB
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Georeference HoliCity (London) LAS tiles into a real-world projected CRS.
Role in the pipeline:
HoliCity point clouds are sampled (via CloudCompare) from FBX meshes in a
local coordinate frame with no spatial reference. This script geo-registers
the four 500x500 m tiles (NW/NE/SW/SE) of a HoliCity block onto the London
map so they line up with satellite imagery before tiling.
Method:
- The WGS84 latitude/longitude of the NW tile's top-left (north-west) corner
is known and hard-coded below (NW_LAT/NW_LON; west longitude is negative).
- That anchor is projected from WGS84 (EPSG:4326) into the target projected
CRS (default EPSG:27700, OSGB36 / British National Grid).
- The remaining tiles are placed by a fixed 500 m east/south offset.
- For each tile, the local top-left corner (minX, maxY) is read from the LAS
header bounding box, and a planar XY translation is computed to move that
corner onto its target projected coordinate.
Inputs:
The four LAS files listed in INPUT_FILES, located in the current directory.
Outputs:
For each input, a translated copy named *_georef.las with the target EPSG
written into its header.
External tools: laspy (LAS I/O), pyproj (CRS transform), numpy.
"""
import os
from pathlib import Path
import laspy
import numpy as np
from pyproj import Transformer
# ==== Parameters to confirm / adjust ====
# Known WGS84 lat/lon of the NW tile's top-left (north-west) corner
NW_LAT = 51.512499
NW_LON = -0.099173 # WGS84 longitude; west of Greenwich is negative
# Real-world size of a single tile (meters)
TILE_SIZE_M = 500.0
# Target projected CRS (British National Grid recommended for London)
TARGET_EPSG = 27700 # OSGB36 / British National Grid
SOURCE_CRS = "EPSG:4326" # NW_LAT/NW_LON are given in WGS84
# The 4 files to process (filenames must distinguish the direction)
INPUT_FILES = [
"TQ3280_NW.las",
"TQ3280NE.las",
"TQ3280SW.las",
"TQ3280SE.las",
]
# Output filename suffix
OUT_SUFFIX = "_georef.las"
# =================================
def read_bbox(path: Path):
with laspy.open(str(path)) as f:
hdr = f.header
mins = np.array(getattr(hdr, "mins", getattr(hdr, "min", (0,0,0))), dtype=float)
maxs = np.array(getattr(hdr, "maxs", getattr(hdr, "max", (0,0,0))), dtype=float)
scales = np.array(hdr.scales)
offsets = np.array(hdr.offsets)
return mins, maxs, scales, offsets
def apply_translation(in_path: Path, out_path: Path, tx: float, ty: float, target_epsg: int):
las = laspy.read(str(in_path))
# Translate (X/Y only; if a Z datum correction is needed, add a Z offset here)
las.x = las.x + tx
las.y = las.y + ty
# Write the EPSG (laspy 2.x: header.epsg)
try:
las.header.epsg = int(target_epsg)
except Exception:
# Some versions may require writing via a VLR; keep the simplest setting here
pass
# Optional: tag generation metadata
try:
las.header.system_identifier = "GeorefByScript"
las.header.generating_software = "laspy_pyproj_georef"
except Exception:
pass
las.write(str(out_path))
def main():
root = Path(".").resolve()
# 1) Project the NW top-left corner (WGS84) into target CRS coords (easting, northing)
transformer = Transformer.from_crs(SOURCE_CRS, f"EPSG:{TARGET_EPSG}", always_xy=True)
# always_xy=True => input order is longitude, latitude (lon, lat)
nw_e, nw_n = transformer.transform(NW_LON, NW_LAT)
# 2) Build the target "top-left" coords for the four directions (top-left = north-west)
# NE: +500m east of NW
# SW: +500m south of NW
# SE: +500m east and +500m south of NW
targets = {
"NW": (nw_e, nw_n),
"NE": (nw_e + TILE_SIZE_M, nw_n),
"SW": (nw_e, nw_n - TILE_SIZE_M),
"SE": (nw_e + TILE_SIZE_M, nw_n - TILE_SIZE_M),
}
# 3) Per file: compute translation from local top-left (minX, maxY) to target top-left
for fname in INPUT_FILES:
in_path = root / fname
if not in_path.exists():
print(f"[SKIP] File not found: {in_path}")
continue
# Determine the direction from the filename
up = fname.upper()
if "NW" in up and "TQ3280NW" in up:
key = "NW"
elif "NE" in up:
key = "NE"
elif "SW" in up:
key = "SW"
elif "SE" in up:
key = "SE"
elif "NW" in up:
# Case where the name contains _NW
key = "NW"
else:
print(f"[WARN] Cannot infer direction from filename; treating as NW: {fname}")
key = "NW"
tgt_e, tgt_n = targets[key]
# Read the local bbox
mins, maxs, scales, offsets = read_bbox(in_path)
minX, minY = float(mins[0]), float(mins[1])
maxX, maxY = float(maxs[0]), float(maxs[1])
# Local top-left corner (north-west) = (minX, maxY)
local_left_top = np.array([minX, maxY], dtype=float)
target_left_top = np.array([tgt_e, tgt_n], dtype=float)
# Translation t = target - local
t = target_left_top - local_left_top
tx, ty = float(t[0]), float(t[1])
# Print diagnostic info
print(f"\n=== {fname} ===")
print(f"Local bbox X:[{minX:.3f}, {maxX:.3f}] Y:[{minY:.3f}, {maxY:.3f}]")
print(f"Local top-left (NW local) = ({local_left_top[0]:.3f}, {local_left_top[1]:.3f})")
print(f"Target top-left (NW target EPSG:{TARGET_EPSG}) = ({target_left_top[0]:.3f}, {target_left_top[1]:.3f})")
print(f"Translation (tx, ty) = ({tx:.3f}, {ty:.3f}) [units: meters, projected coords]")
out_path = in_path.with_name(in_path.stem + OUT_SUFFIX)
apply_translation(in_path, out_path, tx, ty, TARGET_EPSG)
print(f"Written: {out_path.name} (EPSG:{TARGET_EPSG} set)")
print("\nDone. Load *_georef.las into QGIS and set the project CRS to EPSG:%d (or enable on-the-fly reprojection)." % TARGET_EPSG)
if __name__ == "__main__":
main()