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Claude
02e535cb55
- City engine: Esri ground, OSM buildings that rise with the scan, road ribbons carrying modelled traffic coloured by congestion, NYC DOT cameras, real ADS-B, MBTA GTFS lines + realtime vehicles, LAX runways with approach strobes, Fort Bragg restricted volumes, Everest terrain with contours. - Indexing keeps accelerating into a 260-capture global sweep while the planet whips a full turn. - The eye opens: aperture blades, sensor array waking, optics calibration, radar sweep, orbiting coordinate ring. - Camera wall with YOLOv8n detections and a city-pulse trace. - Ends on GOD'S EYE VIEW / OMNISCIENCE. - audio/sfx.py: sound design only, built to sit under a music track. Co-Authored-By: Claude Opus 5.5 <[email protected]> Claude-Session: https://claude.ai/code/session_01KqP857pippaUs6konSDfe8
80 lines
3.3 KiB
Python
80 lines
3.3 KiB
Python
"""Render city/<slug>/check.png: ground imagery (left) and imagery + OSM overlay (right) for alignment QA.
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usage: python3 -I tools/city/check.py nyc boston [--crop x y size]
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"""
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import sys, os, json
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sys.path.insert(0, os.path.dirname(os.path.abspath(__file__)))
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from PIL import Image, ImageDraw
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from geo import CITIES, OUT, CACHE
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ROADC = [(255, 60, 60), (255, 150, 40), (255, 220, 40), (200, 255, 80), (255, 255, 255), (160, 160, 160)]
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def render(slug, S=1400, crop=None):
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d = os.path.join(OUT, slug)
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h = CITIES[slug]['half']
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cx, cy, cs = crop if crop else (0, 0, h) # center and half-size of view in meters
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g = Image.open(os.path.join(d, 'ground.jpg')).convert('RGB')
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G = g.size[0]
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# crop region of ground in pixels
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l = (cx - cs + h) / (2 * h) * G
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t = (h - (cy + cs)) / (2 * h) * G
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r = (cx + cs + h) / (2 * h) * G
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b = (h - (cy - cs)) / (2 * h) * G
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base = g.crop((int(l), int(t), int(r), int(b))).resize((S, S), Image.LANCZOS)
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def P(x, y):
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return ((x - (cx - cs)) / (2 * cs) * S, ((cy + cs) - y) / (2 * cs) * S)
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ov = base.copy()
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dr = ImageDraw.Draw(ov, 'RGBA')
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wp = os.path.join(d, 'water.json')
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if os.path.exists(wp):
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for poly in json.load(open(wp))['polys']:
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for k, ring in enumerate(poly):
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pts = [P(ring[i], ring[i + 1]) for i in range(0, len(ring), 2)]
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if len(pts) >= 3:
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dr.polygon(pts, outline=(60, 160, 255, 255), fill=(30, 90, 255, 70) if k == 0 else None)
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for bld in json.load(open(os.path.join(d, 'buildings.json')))['b']:
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hgt = bld[0]
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pts = [P(bld[i], bld[i + 1]) for i in range(2, len(bld), 2)]
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a = min(255, 60 + int(hgt))
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col = (0, 255, 200, 255) if hgt >= 100 else (255, 0, 220, 255)
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dr.polygon(pts, outline=col, fill=(col[0], col[1], col[2], 40 if hgt < 100 else 90))
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for rd in json.load(open(os.path.join(d, 'roads.json')))['roads']:
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pts = [P(rd[i], rd[i + 1]) for i in range(3, len(rd), 2)]
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dr.line(pts, fill=ROADC[rd[0]] + (230,), width=2 if rd[0] < 3 else 1)
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rp = os.path.join(d, 'rail.json')
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if os.path.exists(rp):
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for ln in json.load(open(rp))['lines']:
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c = ln[0]
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col = tuple(int(c[i:i + 2], 16) for i in (1, 3, 5)) + (255,)
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pts = [P(ln[i], ln[i + 1]) for i in range(1, len(ln), 2)]
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dr.line(pts, fill=col, width=3)
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ep = os.path.join(d, 'extra.json')
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if os.path.exists(ep):
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for x, y, nm in json.load(open(ep))['helipads']:
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px, py = P(x, y)
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dr.ellipse((px - 7, py - 7, px + 7, py + 7), outline=(255, 255, 0, 255), width=3)
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out = Image.new('RGB', (S * 2 + 10, S), (0, 0, 0))
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out.paste(base, (0, 0))
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out.paste(ov, (S + 10, 0))
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return out
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if __name__ == '__main__':
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args = [a for a in sys.argv[1:] if not a.startswith('--')]
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crop = None
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if '--crop' in sys.argv:
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i = sys.argv.index('--crop')
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crop = tuple(float(v) for v in sys.argv[i + 1:i + 4])
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args = [a for a in args if a not in sys.argv[i + 1:i + 4]]
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for slug in args or list(CITIES):
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im = render(slug, crop=crop)
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if crop:
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p = os.path.join(CACHE, f'{slug}_check_crop_{int(crop[0])}_{int(crop[1])}_{int(crop[2])}.png')
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else:
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p = os.path.join(OUT, slug, 'check.png')
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im.save(p, optimize=True)
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print('wrote', p)
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