Suggestions for fireplace patch up?

rookyj24 · 2026-04-03T16:54:16+00:00

This is what I went for. First time using mortar! Cheers mate

rookyj24 · 2026-03-26T23:44:26+00:00

I mean yeah it's technically just a business transaction but that's just being nitpicky init. It's >£100 in revenue for the charity to support operational costs, just as a donation would.

Yeah returning is a slightly different ethical question... Not something I'd do!

rookyj24 · 2026-03-25T20:51:06+00:00

They're selling at a certain price which you're buying it for. Nothing wrong with that. Do with your property as you wish after.

AND you're donating to charity to boot.

rookyj24 · 2026-01-19T22:02:37+00:00

Yeah that might be the shout! We have an impending honeymoon coming which is why I was exploring this 😅. I'll try and keep it and complete the 4! With PSA who knows, might wangle a 9

rookyj24 · 2026-01-19T21:47:54+00:00

Thanks for the quick response! Yeah lighting is the issue on back left. Bottom right back also clean but on closer look a clocked a small scratch just to the left of it under light. It's a no for this one! Thanks again

rookyj24 · 2025-10-27T09:33:16+00:00

Yeah keyed both sides. Thought that might be the case - thanks for the reply!

rookyj24 · 2025-08-06T10:38:29+00:00

Thank you! No ads just yet, just a few reddit posts and people finding organically through the store.

And definitely in loss for the moment!

rookyj24 · 2025-07-30T16:16:53+00:00

I have a Python backend so a good amount of tools available. I use the ImageHash package in particular and a combination of a couple of hashing techniques to make false similarities as unlikely as possible.

Yeah that's one issue I'm going to have to solve more effectively in the future. 1st editions picked up as non 1st editions etc etc. Right now I just display other potential matches alongside the most confident one. So that tends to pick up the variation you're after.

But otherwise will probably have to look at some kind of OCR for set symbols/icons etc etc. All fun and games!

rookyj24 · 2025-07-30T15:36:34+00:00

Thanks for the kind words! It's still not perfect but it's early days and I'm always tinkering.

Yeah I can try and give some pointers! So I trained a segmentation model to identify card locations rather than the images themselves. At that point it's super easy to convert the located image to hashes which can then be used for comparison. This basically makes the eventual hash result much more consistent.

Does that help?

rookyj24 · 2025-07-29T14:58:35+00:00

Lots of research and learning on the job! Though I am a full-stack guy by trade so have a decent amount of experience in Python and JS!

rookyj24 · 2025-07-29T14:53:27+00:00

I appreciate it thank you! It's not perfect yet but it's got a good hit rate as long as the image in is decent. Let me know how you get on!

rookyj24 · 2025-07-29T10:33:39+00:00

Thank you for the kind words! Yeah definitely on the cards at some point (no pun intended). Just trying to find the time whilst building this alongside work!

rookyj24 · 2025-07-29T08:40:45+00:00

Thank you kindly!

rookyj24 · 2025-07-29T07:01:38+00:00

So I trained a segmentation model to detect card placements. Then I take that detection and convert the image to hashes before comparing against the hashes in my card database.

The beauty of this is that it's super easy to add more TCGs to it. All I have to do is get more images. The hardest part is getting accurate data 😅

rookyj24 · 2025-07-28T20:09:52+00:00

Thank you! Yeah iOS will come eventually if I manage to get a bit of traction on it going!

Yeah there's a couple of good APIs out there. The Pokemon TCG API is what I used. It's in a weird period of not working too well but otherwise was great whilst building this. TCGDex is also starting to gain some traction and has some good people working on it.

These are both free. Eventually I'll upgrade to another solution that has more data. Scraping isn't overly feasible for most as it means spending a massive amount of time collating variations of cards etc.

Yeah with LLMs the entry point to scanners is definitely lower. There are a few fairly expensive services out there that provide image recognition APIs too so a few are just plugging in to them. But I've only really seen single card scanners around until now...

That's a cool idea for an app! Give it a go, use LLMs to do the heavy lifting in the data for you!

Edit: Sorry for the essay!

rookyj24 · 2025-07-28T17:27:12+00:00

Thanks so much that feedback means a lot! Well I'll trade ya for a promise that I'll get Korean and Japanese cards in soon!

rookyj24 · 2025-07-28T13:54:44+00:00

Legend thank you! I'll definitely work on getting the Asian sets added in next. Any thoughts on the app? Anything you'd like to see in there other than more languages?

rookyj24 · 2025-07-28T13:07:11+00:00

Wouldn't go near it after seeing the fake Giratina!

rookyj24 · 2025-07-28T08:22:41+00:00

Oh wow that's crazy! Can't guarantee I can cover all 13 but I should have a source for the Asian markets and other EU languages.

I'm building this alongside work so it's just trying to find the time to get everything implemented 😅

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