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Add 20 loop pairs CD data
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"""Crop several XY boxes from one huge ASCII PLY in a single streaming pass.
Usage: python crop.py boxes.json (boxes.json: list of {name, src, xmin, xmax, ymin, ymax, out})"""
import sys, os, json, time
import polars as pl, numpy as np
def header_len(path):
n = 0
with open(path, 'rb') as f:
for line in f:
n += 1
if line.strip() == b'end_header': return n
def write_ply(path, df, comments):
pts = df.select(['x', 'y', 'z']).to_numpy()
rgb = df.select(['r', 'g', 'b']).to_numpy()
with open(path, 'w', newline='\n') as f:
f.write('ply\nformat ascii 1.0\n')
for c in comments: f.write(f'comment {c}\n')
f.write(f'element vertex {len(pts)}\nproperty float x\nproperty float y\nproperty float z\n'
'property uchar red\nproperty uchar green\nproperty uchar blue\nend_header\n')
np.savetxt(f, np.c_[pts, rgb], fmt='%.6f %.6f %.6f %d %d %d')
def run(boxes):
by_src = {}
for b in boxes: by_src.setdefault(b['src'], []).append(b)
for src, bl in by_src.items():
t0 = time.time(); hl = header_len(src)
lf = pl.scan_csv(src, separator=' ', has_header=False, skip_rows=hl, new_columns=['x','y','z','r','g','b'],
schema_overrides={'x': pl.Float64, 'y': pl.Float64, 'z': pl.Float64, 'r': pl.UInt8, 'g': pl.UInt8, 'b': pl.UInt8},
low_memory=True)
preds = [(pl.col('x') >= b['xmin']) & (pl.col('x') < b['xmax']) & (pl.col('y') >= b['ymin']) & (pl.col('y') < b['ymax']) for b in bl]
anyp = preds[0]
for p in preds[1:]: anyp = anyp | p
tag = pl.lit(None, dtype=pl.Int32)
for i, p in reversed(list(enumerate(preds))):
tag = pl.when(p).then(pl.lit(i, dtype=pl.Int32)).otherwise(tag)
df = lf.filter(anyp).with_columns(tag.alias('box')).collect(engine='streaming')
for i, b in enumerate(bl):
sub = df.filter(pl.col('box') == i)
os.makedirs(os.path.dirname(b['out']), exist_ok=True)
write_ply(b['out'], sub, [f"Subiaco change-detection raw crop {b['name']} (source-map coordinates, uncorrected)",
f"source {os.path.basename(src)}",
f"crop box x[{b['xmin']},{b['xmax']}) y[{b['ymin']},{b['ymax']}) all z",
'Generated 2026-09-27 by crop.py'])
print(f"{b['name']}: {os.path.basename(src)} -> {len(sub):,} pts -> {b['out']}", flush=True)
print(f" pass over {os.path.basename(src)}: {time.time()-t0:.1f}s", flush=True)
if __name__ == '__main__':
run(json.load(open(sys.argv[1])))