By: Blogs on jonathanBieler.github.io

Re-posted from: https://jonathanbieler.github.io/blog/focal.jl/

Models for estimating depth from a single image
(e.g, Depth-Anything-V2,
MiDaS) are pretty good nowadays, to the point
where they can be used for photo editing (even Photoshop use them).

In this article, I explore some applications of a depth mask for phography using Depth-Anything-V2 in Julia. The most obvious use case is to simulate bokeh (especially for smartphone that often can’t produce shallow depth of field optically), but a depth mask can also be used to add or remove haze from an image, simulate lighting with a flash or provide a natural vignette. These can help to add depth to an image and emphasize its subject.

By: Julia on EPH

Re-posted from: https://ericphanson.com/blog/2024/julias-package-registration-tooling/

Julia has a large ecosystem of over 10,000 registered packages in it’s “General” open-source package registry.

Package registration is mostly automated, but it can be hard to understand how all the various bits fit together. There are some helpful resources and tutorials on how to create and register a package, such as

• https://julialang.org/contribute/developing_package/
• https://modernjuliaworkflows.org/sharing/

and I won’t provide a step-by-step tutorial here. Instead, I aim to provide a point-in-time snapshot of many of the different pieces of tooling currently used in the Julia package registration system, and explain how they work together. I will also try to mention how they can be applied to alternative registries beyond General.