cv-convert: Convert computer vision data types in Rust

Type conversions among famous Rust computer vision libraries. It supports the following crates:

Usage

No crates are enabled by default. You must specify which computer vision libraries you want to use as features when adding cv-convert to your project.

[dependencies.cv-convert]
version = 'x.y.z'  # Please look up the recent version on crates.io
default-features = false
features = [
    'image',
    'opencv',
    'tch',
    'nalgebra',
    'ndarray',
    'imageproc',
]

The basic features (image, opencv, etc.) enable support for the compatible version ranges of each dependency.

The minimum supported rustc is 1.51. You may use older versions of the crate (>=0.6) in order to use rustc versions that do not support const-generics.

Available Features

Core library features

image - Enable image crate support (latest version)
imageproc - Enable imageproc crate support (latest version)
nalgebra - Enable nalgebra crate support (latest version)
ndarray - Enable ndarray crate support (latest version)
opencv - Enable opencv crate support (latest version)
tch - Enable tch crate support (latest version)

Supported version ranges

image - Supports version >=0.24
imageproc - Supports version >=0.22
nalgebra - Supports versions >=0.26, <0.33
ndarray - Supports version >=0.13
opencv - Supports versions >=0.63, <0.89
tch - Supports version >=0.13

Example Usage

The crate provides ToCv, TryToCv, AsRefCv, TryAsRefCv traits, which are similar to standard library's Into and TryInto.

use cv_convert::{ToCv, TryToCv};
use nalgebra as na;
use opencv as cv;

// ToCv - infallible conversion
let cv_point = cv::core::Point2d::new(1.0, 3.0);
let na_point: na::Point2<f64> = cv_point.to_cv();

// ToCv - the other direction
let na_point = na::Point2::<f64>::new(1.0, 3.0);
let cv_point: cv::core::Point2d = na_point.to_cv();

// TryToCv - fallible conversion
let na_mat = na::DMatrix::from_vec(2, 3, vec![1.0, 2.0, 3.0, 4.0, 5.0, 6.0]);
let cv_mat = na_mat.try_to_cv()?;

// TryToCv - the other direction
let cv_mat = cv::core::Mat::from_slice_2d(&[&[1.0, 2.0, 3.0], &[4.0, 5.0, 6.0]])?;
let na_mat: na::DMatrix<f64> = cv_mat.try_to_cv()?;

Contribute to this Project

Add support for new dependency versions

Dependencies are now specified using range-based version requirements in cv-convert/Cargo.toml. To support new versions of a dependency, simply update the version range in the [dependencies] section.

For example, to add support for nalgebra 0.33, update the nalgebra dependency:

[dependencies]
nalgebra = { version = ">=0.26, <0.34", optional = true }

This approach automatically supports all compatible versions within the specified range without needing to generate code for each individual version.

Add a new type conversion

To add a new type conversion, take image::DynamicImage and opencv::Mat for example. Proceed to cv-convert/src and implement the code in with_opencv_image.rs because it is a conversion among opencv and image crates.

Choose ToCv or TryToCv trait and add the trait implementation on image::DynamicImage and opencv::Mat types. The choice of ToCv or TryToCv depends on whether the conversion is fallible or not.

impl ToCv<opencv::Mat> for image::DynamicImage { /* omit */ }
impl ToCv<image::DynamicImage> for opencv::Mat { /* omit */ }

// or

impl TryToCv<opencv::Mat> for image::DynamicImage {
    type Error = SomeError;
    fn try_to_cv(&self) -> Result<opencv::Mat, Self::Error> { /* omit */ }
}
impl TryToCv<image::DynamicImage> for opencv::Mat {
    type Error = SomeError;
    fn try_to_cv(&self) -> Result<image::DynamicImage, Self::Error> { /* omit */ }
}

#[cfg(test)]
mod tests {
    // Write a test
}

License

MIT license. See LICENSE file.

cv-convert 0.26.0