- cross-posted to:
- python@programming.dev
- cross-posted to:
- python@programming.dev
Some custom filter kernel to average out values from a chunk of pixels with some kind of “border aware” behaviour?
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That’s what those 3 corners are for.
After a convolution with such a square as template, there are 3 local maxima, of known relative distances to each other, that give the bounding box.
Is that scale invariant? Or would they need to do it multiple times at different scales if they can’t rely on a consistent scale?
The latter: it’s not scale invariant
Wouldn’t it be easier to generate a new one?