pippy360

5 ms·

1.
by pippy360 2mo ago
The thing that got me back into pirating is having to pay extra for 4k. When every bit of extra enjoyment is taxed it just kills my joy. Like a lot of people in this thread I really would much rather just pay for a good product than pirate.
2.
by pippy360 5mo ago
Do you have a good/entertaining source for this? I'd love to read (or watch/listen) more about it
3.
How Alive Can a Video Game Street Be?(youtube.com)
3 points by pippy360 5mo ago|1 comments
4.
by pippy360 5mo ago
I really enjoyed this deep dive on how far video games have come. Also with ~900 views this video is likely to be buried too quickly for the HN crowd to see it otherwise.
5.
by pippy360 10mo ago
That was a very higher quality YT video. It's clearly written by someone who knows when they're talking about even though it's mostly non-technical
6.
by pippy360 10mo ago
yes! couldn't agree more with your long post. Especially this part: "(This is exacerbated when components of the automation require internal-only tooling—the poor data scientist now needs to go read through a bunch of half-written
7.
by pippy360 11mo ago
Sorry to pile on but, the google sign on also turned me away. I have a google account and usually use it to sign up for sites I'm interested in but when it's used to gate content that could be accessible without a login I just fee
8.
by pippy360 3y ago
It looks great. Quick question: Can i search through my entries? And is there any plans to use semantic/embedded vector search?
9.
Show HN: An Attempt to Improve Reverse Image Search(pippy360.github.io)
1 points by pippy360 3y ago|0 comments
10.
by pippy360 4y ago
Archviz (architecture visualization) is very good for this. Just search “ue5 archviz“ on YouTube
11.
by pippy360 4y ago
Can you comment on how difficult this was? and how much time it took? I've thought about doing something similar with some open source games but have just never had the time. The work is fantastic! I hope you enjoyed making it!
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Valve releases alpha of censored Steam client for China(reclaimthenet.org)
2 points by pippy360 6y ago|1 comments
13.
by pippy360 9y ago
I think for handling truly/non-affine arbitrary transformations we will have to resort to ML. Then we could have matching very similar to how humans do it (where we really don't care if the transformation is affine/non-affine
14.
by pippy360 9y ago
It would be great if I could remove overlapping triangles then I would have near linear growth of triangles for larger images. But it's very hard to come up with a technique which removes the same overlapping triangles (and leaves the
15.
by pippy360 9y ago
possibly, I'm not sure what implementation you have in mind? I find it's the combination of a poor keypoint finder, noise and needing to be able to match partial images is the problem. If I could guarantee that 99% of the keypoint
16.
by pippy360 9y ago
>Why are we transforming the triangles to equilateral triangles? This is so that the extracted image fragments/triangles are always very similar and so have an extremely similar hash. If I didn't transform the triangles then, f
17.
by pippy360 9y ago
Unfortunately it needs a huge amount of work to be production ready. I'd love to see it wrapped up in python though and I'll be continuing to work on it. The main issue you will run into is that the number of triangles computed fr
18.
by pippy360 9y ago
>The big problem is, a moderately complex image can yield n³ triangles This is a big problem I have been facing. You will notice that all the images I use in my c++ demos are small for this reason. I'm trying to solve this scaling i
19.
by pippy360 9y ago
>I was wondering, how did you determine your criteria for matching Yeah, the query image is broken into a number of fragments and then the hash of each fragment/triangle is checked against the hashes stored in the database using a n
20.
by pippy360 9y ago
Hey guys, I'm the guy who made this. Let me know if anything isn't clear or if you have any questions. *I developed this after I saw how poor google (and any other reverse image search engine I tested, like bing/tineye) perfo
21.
Show HN: Transformation Invariant Reverse Image Search(pippy360.github.io)
166 points by pippy360 9y ago|30 comments