Event JSON
{
"id": "5b4caee6d97284716161e66b952637ab22e5943ad7f4da5ba4629f5bb17c3123",
"pubkey": "6e5bb3f4df765d024066fb8b1b0ab196b68726b8092782a387c9698fd05d8c35",
"created_at": 1705397632,
"kind": 1,
"tags": [
[
"p",
"0ff69f6f44c3dac8c76e720dfa6009810f5b5412f7d637f46491916015a043de",
"wss://relay.mostr.pub"
],
[
"p",
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"wss://relay.mostr.pub"
],
[
"e",
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"reply"
],
[
"proxy",
"https://tldr.nettime.org/users/tante/statuses/111764939238448508",
"activitypub"
]
],
"content": "nostr:npub1plmf7m6yc0dv33mwwgxl5cqfsy84k4qj7ltr0aryjxgkq9dqg00q7gy8hz Probably not good for openCV (too few faces), one could try one of these models: https://paperswithcode.com/task/crowd-counting",
"sig": "ef547b3e26687382603862c513c80285bdbc0f1c4332982bbe7b78d899140cfbc394d050b059cc1cdcb89582d7c40c94a5736742b8b4179409c2107eae886994"
}
