Crates.io | cv-convert |
lib.rs | cv-convert |
version | 0.25.0 |
source | src |
created_at | 2021-01-15 10:57:15.471522 |
updated_at | 2023-10-15 13:57:29.135734 |
description | Type conversions among famous Rust computer vision libraries |
homepage | https://github.com/jerry73204/rust-cv-convert/ |
repository | https://github.com/jerry73204/rust-cv-convert.git |
max_upload_size | |
id | 342302 |
size | 132,516 |
Type conversions among famous Rust computer vision libraries. It supports the following crates:
Run cargo add cv-convert
to add this crate to your project. In the
default setting, up-to-date dependency versions are used.
If you desire to enable specified dependency versions. Add
default-features = false
and select crate versions as Cargo
features. For example, the feature nalgebra_0-30
enables nalgebra
0.30.x.
[dependencies.cv-convert]
version = 'x.y.z' # Please look up the recent version on crates.io
default-features = false
features = [
'image_0-24',
'opencv_0-84',
'tch_0-13',
'nalgebra_0-32',
'ndarray_0-15',
]
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.
opencv_0-84
opencv_0-83
opencv_0-82
opencv_0-81
opencv_0-80
opencv_0-79
opencv_0-78
opencv_0-77
opencv_0-76
opencv_0-75
opencv_0-74
opencv_0-73
opencv_0-72
opencv_0-71
opencv_0-70
opencv_0-69
opencv_0-68
opencv_0-67
opencv_0-66
opencv_0-65
opencv_0-64
opencv_0-63
image_0-24
image_0-23
imageproc_0-23
ndarray_0-15
nalgebra_0-32
nalgebra_0-31
nalgebra_0-30
nalgebra_0-29
nalgebra_0-28
nalgebra_0-27
nalgebra_0-26
tch_0-13
The crate provides FromCv
, TryFromCv
, IntoCv
, TryIntoCv
traits, which are similar to standard library's From
and Into
.
use cv_convert::{FromCv, IntoCv, TryFromCv, TryIntoCv};
use nalgebra as na;
use opencv as cv;
// FromCv
let cv_point = cv::core::Point2d::new(1.0, 3.0);
let na_points = na::Point2::<f64>::from_cv(&cv_point);
// IntoCv
let cv_point = cv::core::Point2d::new(1.0, 3.0);
let na_points: na::Point2<f64> = cv_point.into_cv();
// TryFromCv
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 = cv::core::Mat::try_from_cv(&na_mat)?;
// TryIntoCv
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: cv::core::Mat = na_mat.try_into_cv()?;
To add the new version of nalgebra 0.32 for cv-convert for example,
open cv-convert-generate/packages.toml
in the source repository. Add
a new version to the list like this.
[package.nalgebra]
versions = ["0.26", "0.27", "0.28", "0.29", "0.30", "0.31", "0.32"]
use_default_features = true
features = []
Run make generate
at the top-level directory. It modifies Rust
source files automatically. One extra step is to copy the snipplet in
cv-convert/generated/Cargo.toml.snipplet
and paste it to
cv-convert/Cargo.toml
.
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 FromCv
or TryFromCv
trait and add the trait implementation
on image::DynamicImage
and opencv::Mat
types. The choice of
FromCv
or TryFromCv
depends on whether the conversion is fallible
or not.
impl FromCv<&image::DynamicImage> for opencv::Mat { /* omit */ }
impl FromCv<&opencv::Mat> for image::DynamicImage { /* omit */ }
// or
impl TryFromCv<&image::DynamicImage> for opencv::Mat { /* omit */ }
impl TryFromCv<&opencv::Mat> for image::DynamicImage { /* omit */ }
#[cfg(test)]
mod tests {
// Write a test
}
MIT license. See LICENSE file.