Machine Learning

1 readers

1 users here now

Community Rules:

Be nice. No offensive behavior, insults or attacks: we encourage a diverse community in which members feel safe and have a voice.
Make your post clear and comprehensive: posts that lack insight or effort will be removed. (ex: questions which are easily googled)
Beginner or career related questions go elsewhere. This community is focused in discussion of research and new projects that advance the state-of-the-art.
Limit self-promotion. Comments and posts should be first and foremost about topics of interest to ML observers and practitioners. Limited self-promotion is tolerated, but the sub is not here as merely a source for free advertisement. Such posts will be removed at the discretion of the mods.

founded 1 year ago

MODERATORS

communick@academy.garden

[D] [P] Images to triangles (alien.top)

submitted 11 months ago by Existing-Pie-3723@alien.top to c/machinelearning@academy.garden

4 comments fedilink hide all child comments

Images to triangles

Say you have an image, which is the input ... You now need to output a set of n triangles that will most closely replicate it, where n is fixed. How will you go about this problem today

Genetic Algos have kind of tackled this problem, but takes forever or converges easily to some picture ... I tried running some preliminary things here on Neat playground here .... https://jerryjohnthomas.github.io/30pieces/
Each triangle is something takes space and color ... So try to group pixels of same color as triangle ... Like a knn thing

I think we could maybe do a much better job without cnns, adding a simplifying assumption say the image indeed is made of n triangles and exact replication is possible. Is there anything else you would try.

you are viewing a single comment's thread
view the rest of the comments

[–] Real_Revenue_4741@alien.top 1 points 11 months ago

Honestly, RL sounds like a decent approach here.