Files
gods-eye-view/intro-sequence/tools/fetch/cctv_select.py
T
Claude c9421a3f33 feat(intro): add the First Light intro sequence
A deterministic WebGL film of God's Eye View coming online: a seed on Null
Island grows into a culture that draws the planet, indexes the surface
tile by tile, ingests the live feeds and outgrows its dish, ending on the
logo. Renders 16:9 and 9:16 frame by frame in headless Chromium; the
procedural score is locked to the same clock. Data and imagery are
fetched by the scripts in tools/ and are not committed.

Co-Authored-By: Claude Opus 5.5 <[email protected]>
Claude-Session: https://claude.ai/code/session_01KqP857pippaUs6konSDfe8
2026-10-18 03:21:30 +00:00

43 lines
2.3 KiB
Python

#!/usr/bin/env python3
"""Stage 2: pick a spread of good frames from cctv_fetch.py output, cover-crop to 640x360, write cctv/index.json.
Usage: python3 -I cctv_select.py <work_dir> <out_cctv_dir>
EXCLUDE lists frames rejected on visual review of the contact sheets (placeholders such as
'Temporarily Unavailable', 'Kamera er midlertidig ute av drift', 'NB! ÜHENDUS KAAMERAGA PUUDUB',
'Interrupció temporal de la imatge', and an all-black King County frame)."""
import json, os, sys
from collections import Counter
from PIL import Image
W, OUT = sys.argv[1], sys.argv[2]
ok = json.load(open(f'{W}/ok.json'))
EXCLUDE = {40, 43, 45, 46, 49, 66, 126, 139, 148, 150}
PREFER = {'hongkong': [187, 195, 197, 198, 201, 205, 206, 196, 200, 202]} # fewest privacy-mask polygons
QUOTA = dict(nsw=12, hongkong=10, singapore=6, nz=12, nyc=9, caltrans=6, wsdot=6, kingco=3, drivebc=6, calgary=4, toronto=6,
txdot=4, austin=4, tfl=8, fintraffic=4, vegvesen=4, tallinn=3, tarktee=3, lithuania=4, catalonia=3)
hash_count = Counter(x['ahash'] for x in ok)
good = [x for x in ok if x['i'] not in EXCLUDE and hash_count[x['ahash']] == 1 and x['w'] >= 320 and x['mean'] > 25 and x['std'] > 15]
pick = []
for src, q in QUOTA.items():
pool = [x for x in good if x['src_key'] == src]
pref = [x for i in PREFER.get(src, []) for x in pool if x['i'] == i]
rest = sorted([x for x in pool if x not in pref], key=lambda x: -(x['std'] * x['edges']))
pick += (pref + rest)[:q]
os.makedirs(OUT, exist_ok=True)
for f in os.listdir(OUT):
if f.startswith('cam_') and f.endswith('.jpg'):
os.remove(os.path.join(OUT, f))
index = []
for n, x in enumerate(pick, 1):
im = Image.open(x['file']).convert('RGB')
w, h = im.size
s = max(640 / w, 360 / h)
im = im.resize((max(640, round(w * s)), max(360, round(h * s))), Image.LANCZOS)
w, h = im.size
l, t = (w - 640) // 2, (h - 360) // 2
im = im.crop((l, t, l + 640, t + 360))
fn = f'cam_{n:03d}.jpg'
im.save(os.path.join(OUT, fn), quality=88)
index.append(dict(file=fn, name=x['name'], city=x['city'], country=x['country'], lat=x['lat'], lon=x['lon'], source=x['source'],
fetched_utc=x['fetched'], orig_size=[x['w'], x['h']], url=x['url']))
json.dump(index, open(os.path.join(OUT, 'index.json'), 'w'), ensure_ascii=False, indent=1)
print(len(index), Counter(i['country'] for i in index))