Using D and images I ended up with a problem.
The problem was that parts of my code wanted to decode just specific image metadata, other just pixels. Others were interested in 10-bit, and others in this or that format. Finally, some were concerned about aligned layout and others just wanted "dense" pixels without gap between rows.
The goal of Gamut is to cater to a reasonably large set of needs with D and images.
I'll be at Dconf if you want to ask for your particular use case.
The library is not super usable yet, it's still in the design phase.
Features:
- monomorphic image type, as opposed to a templated type, for all pixel format types
The problem is that templated image library ends up taking compile-time when used
at scale. The Image type will also act as "view". - loading images: PNG (8-bit and 10-bit) / JPEG (baseline and progressive) / QOI
- writing images: PNG (8-bit) / JPEG (baseline) / BC7 in DDS / QOI
nothrow @nogc
, all structs, no exceptions, standalone exceptintel-intrinsics
.- (near future): control over the image layout for easy SIMD access. For example, you can
ask for:- 64-bytes aligned row of pixels (for aligned SIMD access),
- or a border of 2 pixels around the data (for resampling),
- trailing pixels after each row (for unaligned SIMD access),
- and that each row has a multiple of 4x pixels (for SIMD)
- API inspired by FreeImage.
Gamut has support for an evolving "QOIX" format that mostly improves upon QOI. Can be interesting if you have lots of PNG to distribute and want more compression than QOI. In the future I'd like to extend QOIX to support 10-bit.
DUB: https://code.dlang.org/packages/gamut
GitHub: https://github.com/AuburnSounds/gamut