u/ComfortableDivide640
Best route for doing graphic design recomposition from layers (handling occlusion, z-index)? + Current progress
New to CV. The project is to remap individual layers decomposed from a graphic design as PNGs to resemble the original composition as much as possible.
It tries feature matching with SIFT, AKAZE, ORB.
The layers were extracted with GPT so may not be 1:1.
Background z-positioning is just handled by relative size heuristic.
Attached is an example of a test for what I have so far. The only incorrect placements were the lemon, (maybe because that lemon asset appears twice - on the product container and behind it), and the purple sticker should be behind the container)
How should I algorithmically handle backgrounds, layers behind layers, overlaps, etc?
I was thinking of filtering candidates for testing, then testing different positioning, rendering them all and comparing them with the original design for best match.
Any better route / existing libraries / frameworks to go about this or any general advice is appreciated.
Thinking of offering a suite of small apps / features under our AGENCY'S domain
We are a generalist digital transformation agency with Fortune 1000 testimonials. We created an app that is pretty useful and unprecedented.
However we don't think it really has potential to be a HIT, so the idea was to use it to reinforce agency branding / awareness, under a suite of similar tools.
We are thinking of hosting it under subdomain.agencyname.com
I'm wondering your thoughts on this, if any agencies have done this in the past (offer products and services), and more specifically is it a good idea to do so as a subdomain?
Should we host this free large resource under our premium agency site or separate branding?
(not self promo, no names revealed) Soon we are providing a growing database of 1 million email designs to provide inspiration/competitor intel (like RGE, Milled, Inboox but for free).
The point is to grow brand awareness and expand community reach.
We were thinking of hosting it under our agency website, as app.agencysite.com with our navbar in view, or separate branding as appname.com with lighter branding pointing towards the agency.
Tradeoff with app.agencysite.com is that it's a little weird for consumers to remember/find a product under our agency name.
Plan was to market this through SMM. The initial idea was just a lead magnet / resource with advanced features like filtering, search, your niche, competitor intel etc. BUT, if it gains more traction and we can't afford hosting this for free at a certain scale, then we'd lean towards the product/branding side.
Would love to get your opinions.
What specs to run DuckDB on 7.5m row, 100 column parquet for one user requiring filtering? Gemini giving a completely different different answer than GPT/Claude
2.5gb Parquet
GPT and Claude: 4 vCPU, 16 GB (ideally 32GB) RAM
Gemini: 2 vCPU, 2GB (ideally 4GB)
I just need to view it in my frontend as a table with simple pagination and filtering (eg. all brands where monthly_sales is between 2m and 3m, and also with country code = CA)
It will be a library of emails to save, download, etc. Filter by niche, choose brands to receive email updates for in bulk.
We wanted to receive feedback from email marketers- what about this would appeal to you and how should we take that into account when marketing this?
We plan on receiving and storing ~50,000 emails from ecommerce brands daily. Is Cloudflare Email services good for handling this throughput?
To my understanding, inbound is unlimited/free
if anyone who has it, dm. will pay after confirming you've exported
If so how is it working out for you? Does it have quality leads
Anyone who has StoreLeads. Will pay after verification that you did export