rxcv

Crates.iorxcv
lib.rsrxcv
version0.1.0-alpha.5
sourcesrc
created_at2023-01-19 07:10:49.278291
updated_at2023-02-01 02:04:38.196411
descriptionRxCV provide Rust programming experience to OpenCV.
homepage
repositoryhttps://github.com/chordizm/rxcv
max_upload_size
id762371
size209,617
Rei Fujimura (reifujimura)

documentation

README

RxCV

RxCV provide Rust programming experience to OpenCV.

Platform Arch Status
Linux x86_64 0.1.0
Linux aarch64 0.1.0
Windows All TBA
macOS All TBA

Currently support opencv installed from apt.

Modules

Module Status
core [WIP]0.1.0
imgproc [WIP]0.1.0
imgcodecs [WIP]0.1.0
videoio TBA
calib3d TBA
features2d TBA
objdetect TBA
dnn TBA
ml TBA
flann TBA
photo TBA
stiching TBA
gapi TBA

Get started

std::vector<uchar> data = /* Some binary */;
cv::Mat src = cv::imdecode(data, cv::IMREAD_COLOR), dst;

// Execution time error.
auto thresh = cv::threshold(src, dst, 0, 255, cv::THRESH_BINARY | cv::THRESH_OTSU);
use rxcv::{
    imgproc::{Threshold, ThresholdTypes},
    Mat,
};
let data:&[u8] = &[1, 2, 3, 4, 5, 6];
let src = Mat::<u8, 3>::decode(data).unwrap();
/**
Not implemented threshold on Mat::<u8, 3>
let (thresh, dst) = src.threshold(
        0,
        255,
        ThresholdTypes::THRESH_BINARY | ThresholdTypes::THRESH_OTSU
    );
*/
// Convert Color;
let src = src.cvt_color_bgr2gray().unwrap();
let (thresh, dst) = src.threshold(
        0,
        255,
        ThresholdTypes::THRESH_BINARY | ThresholdTypes::THRESH_OTSU
    ).unwrap();

Example

std::vector<uchar> data = /* Some binary */;
cv::Mat src = cv::imdecode(data);
use rxcv::Mat;
let data:&[u8] = &[1, 2, 3, 4, 5, 6];
let src = Mat::<u8, 3>::decode(data).unwrap();

License

This project is licensed under either of Apache License, Version 2.0 or MIT license at your option.

Commit count: 26

cargo fmt