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Interesting concept.Scanning through the code, reading just the comments, it seems to base the nude-not-nude decision by the amount of skin shown. Hmm.. I gues
by seanlinmt 16y ago
Interesting concept.Scanning through the code, reading just the comments, it seems to base the nude-not-nude decision by the amount of skin shown.
Hmm.. I guess it depends on what your definition of nudity is.
- nailer 16y agoIndeed, the sample images don't have any edge cases - eg, a small bathing costume, pasties, etc. Also what about people with unmaintained pubic hair? Other tools Im familiarmwith do body part detection, which words pretty well, and generates few false positives (that said, when they do occur they tend to be amusing - a pastrami sandwich , for example).
- buro9 16y agoOr, a black person. If the test is based on skin colours, what happens with different tones?
- deleted 16y ago[deleted]
- cookiecaper 16y agoYeah, the code looks like it determines based on what percentage of the image is "skin". The demo page gives a rather close-up shot of the upper-left of a woman's shoulders/chest. What if someone zooms out a little bit? In my tests it is not doing very well if the subject is not taking up the whole image. Perhaps a better approach would be attempting to characterize certain features, like nipples/areola or buttocks. That definitely sounds like it would require more intensive processing, though, and be highly dependent on the angle of the image. I don't really know much about image processing and computational analysis, I just like to pretend I know things.
- seanlinmt 16y agoAlso, you'll need to figure out if the person in the photo is a girl or guy. :)