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Great overview, the Hough transform has a soft place in my heart so I love anyone mentioning it and actually using it.

I wonder if anyone from Dropbox could go into more detail about the technical aspects? This sounds like the perfect thing to build as a C/Rust/whatever embedded library so you can share it with an Android app later on, is that what happened here or is this all in Swift/Obj-C?

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Glad you liked the post!

Yeah, Hough transform is definitely a time-tested algorithm that embodies both elegance and efficacy. I truly love that.

On the technical side, we wrote the detection library in C++, so that it can be easily ported cross-platformly. For iOS integration, we simply integrated with Obj-C++.

I got inspired to make this hough transform visualizer from a few examples I saw online, check it out! https://liquiddandruff.github.io/hough-transform-visualizer/

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