Inspiration
Wanted to build a way to make training data for a future hack involving Machine Learning Point Cloud data
What it does
Lets you take or upload photos, Processes the photos, Turns the photos into a pointcloud, clears up the noisy data, tries to fill in the gaps, lets you view it on the web
How we built it
With a lot of different tools and language...mainly with dubstep and redbull though
Challenges we ran into
So many different ways to write the construct and noise algorithms. Also getting linux to install everything needed...cmake mainly
Accomplishments that we're proud of
It works
What we learned
How to drop the bass
What's next for Spherical Point Interpolation (Fillr)
Plotting for World Domination
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