Types and traits for working with raw image data from machine vision cameras.
This crate aims to be a lowest common denominator for working with images from machine vision cameras from companies such as Basler, FLIR, and AVT.
- Can be compiled without standard library support (
no_std
). - Includes strongly-typed pixel formats in the
pixel_format
module (e.g.RGB8
andMono8
) to ensure correct API use. - Includes types to efficiently iterate through images respecting strided layouts in the [iter] module.
- Includes structs which reference image data in the [image_ref] module.
- Includes struct which owns image data in the [owned] module.
This crate is used extensively in Strand Camera.
The list of pixel formats variants is currently limited rather limited. Please submit an issue or, better, pull request for any additions needed.
We could also address the question of how endian-ness and packed-ness are handled. Currently, these are not specified.
We should investigate rgb
and imgref
and see if this crate is completely redundant with those.
cargo build
cargo +nightly build --no-default-features --features "alloc"
cargo +nightly build --no-default-features
Anyone who interacts with this software in any space, including but not limited to this GitHub repository, must follow our code of conduct.
Licensed under either of these:
- Apache License, Version 2.0, (LICENSE-APACHE or https://www.apache.org/licenses/LICENSE-2.0)
- MIT license (LICENSE-MIT or https://opensource.org/licenses/MIT)