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This is awesome. Can you tell if it used all 109 images or chose a subset?
hard to say - in some areas you can see it chose a blurry image, so I could have gone in and chosen only non-blurry images to improve the results. and based on the # of "corners" around the edge of the image, it looks like it used a lot. I imagine it has to do the hard work just to see where an image fits, and once it's done that it's not a big deal to reproject the image onto the model, so it probably does that rather than try and figure out which ones to use.
So cool!
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