Tom Pohl

> What is the shutter speed value at 1/60? (16666 or 16667) It's 16666.

Save seems to be c003a80000000000. Right before the save, there's a c0090a0000000000. Even if I don't change anything, there are often c009060000000000 and c009080000000000 in the mix.

I'm currently too busy to contribute so if you own a Kiyo feel free to fill in the gaps. There is some basic support, though.

Couldn't we then go back to the last commit under MIT license and fork from there (spring 2019)?

Pitfalls: * It does not (yet) play nicely with other field transformers. Chaining should fix that. * VS Code does not understand that class C actually accepts/expects three parameters in...

Small change to handle given `field_transformers`: ```py3 def add_validators_hook(cls, fields): return kwargs.get("field_transformer", lambda _, v: v)( cls, [attr.evolve(validator=type_validator()) for attr in fields] ) ```

Supporting ANSI colors would be **perfect**, but in the meantime it would help to have an option to filter out any escape sequences right when loading a file.

The first author even provides [source code](https://users.cs.cf.ac.uk/Yukun.Lai/#:~:text=Efficient%20Circular%20Thresholding%0AYu%2DKun%20Lai%2C%20Paul%20L.%20Rosin%0AIEEE%20Transactions%20on%20Image%20Processing%2C%20vol.%2023(3)%2C%20pp.%20992%2D1001%2C%202014%0A%5Bpaper%5D%C2%A0%5Bdoi%5D%C2%A0%5Bcode%5D) (no license given). I could ask him if he's ok with including his algo as a Python rewrite.

I just sent a request to the author. Do we need some sort of license statement that we can actually use the algorithm in scikit?

Yukun, the original author, is happy to make his code available. I asked him to post here.