Tom

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Mastodon @tomhodson@tech.lgbt
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Followers
156
Account age
3 yrs

Known for

Here's a slightly more recognisable one. Obviously the train is bumping up and down and different parts of the scene are moving at different speeds and I'm ignoring all of that and just blindly coping narrow strips of pixels out of an already compressed video file.7 views Here's a slightly more recognisable one. Obviously the train is bumping up and down and different parts of the scene are moving at different speeds and I'm ignoring all of that and just blindly coping narrow strips of pixels out of an already compressed video file. I tried it in the most janky possible way and the images looks quite neat. Here's the first output I got. This image is 'wrong' in so many ways: the red and blue channels are swapped, there's probably some colour space correction gone horribly wrong here because I'm just copying raw uint8s around b7 views I tried it in the most janky possible way and the images looks quite neat. Here's the first output I got. This image is 'wrong' in so many ways: the red and blue channels are swapped, there's probably some colour space correction gone horribly wrong here because I'm just copying raw uint8s around b In Seoul the public transport shows you what seems like the realtime position of every metro on the map. They also show you a really detailed labelled map of the exits from the station so it’s easy to figure out which one you want. I wish both were more common.5 views In Seoul the public transport shows you what seems like the realtime position of every metro on the map. They also show you a really detailed labelled map of the exits from the station so it’s easy to figure out which one you want. I wish both were more common. Ok with time now pointing in the right direction, the parts of the image that happen to move at just the right speed are starting to looks recognisable!5 views Ok with time now pointing in the right direction, the parts of the image that happen to move at just the right speed are starting to looks recognisable!

📊 Post engagement

4
Avg engagement / post
2.6%
Engagement vs followers
Nov 2022
On Mastodon since

🔥 Top post: Here's a slightly more recognisable one. Obviously the train is · 7 likes + reposts

📊 Activity & format

Posting cadence
4 / week
Posts several times a week.
Content mix
Mostly images
Recent: 0 text · 10 image · 2 video.
Follower / following
0.2×
Follows 726 back. A more reciprocal / networked account.

Recent posts

View on Mastodon ↗
🔥 Top post Here's a slightly more recognisable one. Obviously the train is bumping up and down and different parts of the scene are moving at different speeds and I'm ignoring all of that and just blindly coping narrow strips of pixels out of an already compressed video file. ★ 7
In Seoul the public transport shows you what seems like the realtime position of every metro on the map. They also show you a really detailed labelled map of the exits from the station so it’s easy to figure out which one you want. I wish … ★ 5 Heheh managed to get the data out of a Gaussian splat PLY file and start to visualise it. Next stop, camera matrices. ★ 2 ▶ Here's the source video for the image above. I really love this one. These are all just from videos I took out the train window. I don't fully understand why the images come out looking so... painted? I think it might be some combination of: 1) red and blue channels swapped 2) Brok… Oops ★ 1 Ok with time now pointing in the right direction, the parts of the image that happen to move at just the right speed are starting to looks recognisable! ★ 5 Fixing the perspective isn't really worth it, but here's another one I like: ★ 5 Now seeing what happens if I do a little perspective correction to each frame first. (Because I'm taking a little strip of pixels from each frame) ★ 3 I tried it in the most janky possible way and the images looks quite neat. Here's the first output I got. This image is 'wrong' in so many ways: the red and blue channels are swapped, there's probably some colour space correction gone hor… ★ 7 I’ve actually considered making this one myself a couple times. Ever wanted to burn your own graffiti into various street furniture? He’s a cute little portable laser engraved with do bottom so presumably you can just hold it up to stuff a… ★ 2 ▶ A wind tunnel turned into a desk toy, complete with a little smoke generator. The video shows the smoke kinda flowing over the top so you don’t really get as much satisfying streamline action as you might want. ★ 1

🐘 Community & instance

Home server
tech.lgbt
A LGBTQ+ tech server — its members and audience skew toward that niche, so expect a community-aligned, engaged following.
✅ Link-verified
Verified link
Proved ownership of a website linked on their profile — Mastodon's green-check verification, a real identity signal rather than a paid badge.
On Mastodon since
Nov 2022
Joined in the Twitter-exodus wave of late 2022 — part of the migration that made Mastodon a real destination.

💡 Facts

🗓️Joined Mastodon in 2022 — 3 years ago.
👁️Averages 4 views per post.
📤Posts about 4× per week.

🛡️ Audience credibility

90/100 Excellent
  • Est. 93% real, active audience · Low fake-follower risk.
  • Strong content engagement (~2.6% of followers) — an active, real audience.
  • Verified account.
  • Established account (3+ years old).
Est. authentic audience
93%
Fake-follower risk
Low

Heuristic estimate from view-through, engagement vs size and recent growth — a screening signal, not a guarantee.

About

Baker, Runner, Programmer, Reformed Physicist

📸 Gallery

In Seoul the public transport shows you what seems like the realtime position of every metro on the map. They also show you a really detailed labelled map of the exits from the station so it’s easy to figure out which one you want. I wish both were more common. Heheh managed to get the data out of a Gaussian splat PLY file and start to visualise it. Next stop, camera matrices. Here's the source video for the image above. I really love this one. These are all just from videos I took out the train window. I don't fully understand why the images come out looking so... painted? I think it might be some combination of: 1) red and blue channels swapped 2) Broken colour space correction 3) I think the video compression i Oops Ok with time now pointing in the right direction, the parts of the image that happen to move at just the right speed are starting to looks recognisable! Fixing the perspective isn't really worth it, but here's another one I like: Now seeing what happens if I do a little perspective correction to each frame first. (Because I'm taking a little strip of pixels from each frame)

🔀 Audience overlap

Estimated

Estimated shared audience with similar creators — useful for avoiding overlap (or doubling down) when planning a campaign.

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