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https://github.com/bilawalsidhu/gods-eye-view.git
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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
70 lines
2.5 KiB
Python
70 lines
2.5 KiB
Python
"""Fetch candidates and render labelled review sheets for visual verification.
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usage: python3 review.py landmarks|cities [start] [count]
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Writes tools/flurry/review/<kind>_NN.jpg (5x4 grid, 256px cells, labelled).
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"""
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import json
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import os
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import sys
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from concurrent.futures import ThreadPoolExecutor
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from PIL import Image, ImageDraw
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sys.path.insert(0, os.path.dirname(os.path.abspath(__file__)))
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from tiles import HERE, MAX_WORKERS, capture, quality_ok # noqa: E402
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REV = os.path.join(HERE, "review")
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def load(kind):
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if kind == "landmarks":
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from landmarks import LANDMARKS
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return [dict(name=n, country=c, lat=la, lon=lo, zoom=z) for n, c, la, lo, z in LANDMARKS]
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return json.load(open(os.path.join(HERE, "city_candidates.json")))
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def run(cands, prefix, cell=256, cols=5, rows=4):
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os.makedirs(REV, exist_ok=True)
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def job(c):
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try:
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img, info = capture(c["lat"], c["lon"], c["zoom"])
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return img, info
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except Exception as e:
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return None, {"error": str(e)}
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with ThreadPoolExecutor(MAX_WORKERS) as ex:
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res = list(ex.map(job, cands))
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per = cols * rows
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report = []
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for s in range(0, len(cands), per):
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sheet = Image.new("RGB", (cols * cell, rows * cell), (20, 20, 20))
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d = ImageDraw.Draw(sheet)
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for k, (c, (img, info)) in enumerate(zip(cands[s:s + per], res[s:s + per])):
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x, y = (k % cols) * cell, (k // cols) * cell
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idx = s + k
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if img is not None:
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sheet.paste(img.resize((cell, cell), Image.LANCZOS), (x, y))
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ok, why = quality_ok(info)
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lab2 = f"s{info['std']:.0f} g{info['grad']:.1f}" + ("" if ok else " X " + why[:18])
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else:
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ok, lab2 = False, "ERR"
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d.rectangle((x, y, x + cell, y + 24), fill=(0, 0, 0))
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d.text((x + 3, y + 1), f"{idx} {c['name'][:36]}", fill=(255, 255, 0))
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d.text((x + 3, y + 12), lab2, fill=(255, 120, 120) if not ok else (160, 255, 160))
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report.append((idx, c["name"], ok, lab2))
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out = os.path.join(REV, f"{prefix}_{s // per:02d}.jpg")
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sheet.save(out, quality=85)
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print(out)
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for r in report:
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if not r[2]:
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print("REJECT", r)
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if __name__ == "__main__":
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kind = sys.argv[1]
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cands = load(kind)
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st = int(sys.argv[2]) if len(sys.argv) > 2 else 0
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n = int(sys.argv[3]) if len(sys.argv) > 3 else len(cands)
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run(cands[st:st + n], kind[:2] + (f"_{st}" if st else ""))
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