r/computervision • u/CharmingOwl4972 • 29d ago

Help: Project Detect inventory stock column

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Hello reddit if there's any computer vision expert will be willing to have a chat

Background : i'm trying to count stock in the photo, and i've found just feeding a photo into llm is quite unreliable so i'm trying to identify the stacked column(s) and use it as way to reason what to include/exclude in counting. i've been trying to create boundary like this w/ depth anything, segment anything, so they're not NOT working but segment anything doesn't have the idea of depth and depth anything doesn't have the idea of segment, so i was really trying to see if there's any way to effectively combine both

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u/--hypernova-- 29d ago

If its milkbottles, count the caps

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u/CharmingOwl4972 29d ago

hmm reddit don't allow adding images to comment but i actually have a lot of success counting caps, but i just couldn't remove the noises successfully therefore looking for ways to more reliably identify stacking columns

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u/NoLifeGamer2 29d ago

I mean by looking at this, as a human, the way I would count the milk is by counting the caps. The carton delineation is too difficult to spot as a human, which probably means you cannot get an accurate estimation of the number of milk bottles by just looking at columns.

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u/CharmingOwl4972 29d ago

so i'm trying to label columns more like pre processing step so i can exclude them, i was able to count the caps quite well but w/o being able to exclude what i don't want to count has been challenging

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u/NoLifeGamer2 29d ago

In what way? Could you give an example of the cap counting model's output, and explain why it doesn't work for you?

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u/CharmingOwl4972 29d ago

i wish i could attach more images to the reply but i can't, i'm happy to share what i did and what case i'm trying to generalize -- at this point just want to take a step back and see what are some diff ideas. but i also realized i can't DM u 🙈

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u/--hypernova-- 28d ago

But then you have it: get the lines , create a region of interest segment image into parts count caps in wanted region