#opencv2
Live, measured metrics for the hashtag #opencv2 from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #opencv2
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Day-by-day usage
measured · mastodon.social (Mastodon public tags API) · fetched 2026-07-27 01:10 UTC0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · mastodon.social (Mastodon public search API) · fetched 2026-07-27 01:10 UTCLive pulse
measured · mastodon.social (Mastodon tag timeline) · fetched 2026-07-27 01:10 UTCEverything below is measured over the latest 4 public posts (spanning ~5241 hours).
Posting hours (UTC)
Languages: English (4)
Avg boosts / post: 0
Top of the latest posts
I've been struggling to build an XCFramework of #opencv2, and I finally managed to put one together. Here's what I did: https://gist.github.com/humblehacker/6a2e38072b0e237de20ba6d1f2efc80f And here's my question in the related OpenCV GitHu
@LyricalGarfield got hung up on a comic from September 28, 2001 and quite honestly I don't feel like going into full debug mode on why it was getting some negative values when calculating the panels and bombing out. i just skipped it ahead
Hmm, since the image similarity comparison is done via Structural Similarity Index on greyscale versions of the images, it unfortunately also means that sometimes changes aren't picked up because the changed object actually already blends i
Every number above is measured from a named public API at the shown fetch time. Nothing is estimated or extrapolated. Platforms that lock their data behind paid APIs are not shown. Agents: the same numbers, as JSON, at /api/hashtags/opencv2