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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!
Tom from Thatchmore farm wrote back to me with some of the following details and a request:
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