1 个不稳定版本
0.1.0 | 2019 年 11 月 23 日 |
---|
#16 in #height
100KB
1K SLoC
checkerboard-rs
Checkerboard detection algorithms implemented in rust.
目前这个库仅公开了 [1, 2, 3] 中描述的算法的重实现
- Scaramuzza, D., Martinelli, A. and Siegwart, R.. "A Flexible Technique for Accurate Omnidirectional Camera Calibration and Structure from Motion", Proceedings of IEEE International Conference of Vision Systems (ICVS'06), New York, January 5-7, 2006.
- Scaramuzza, D., Martinelli, A. and Siegwart, R.. "A Toolbox for Easy Calibrating Omnidirectional Cameras", Proceedings to IEEE International Conference on Intelligent Robots and Systems (IROS 2006), Beijing China, October 7-15, 2006.
- Rufli, M., Scaramuzza, D., and Siegwart, R., Automatic Detection of Checkerboards on Blurred and Distorted Images,Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2008), Nice, France, September 2008.
API 仍然不稳定,可能会随着更多使用(由我或外部反馈)而发展。
入门
此库当前需要 OpenCV 3.2,并使用 opencv-rust 进行绑定。请参阅他们的仓库以了解如何设置 OpenCV 以构建 opencv-rust。
示例
use checkerboard_rs::CheckerboardSpecification;
use checkerboard_rs::rufli::detect_checkerboard;
let spec = CheckerboardSpecification {
width: 22,
height: 12,
};
let image = image::open(&"assets/reference_easy/checker2212.png")
.unwrap()
.to_rgb();
let quads =
detect_checkerboard(&image, &spec).expect("Did not receive a valid checkerboard.");
版本控制
我们使用 SemVer 进行版本控制。有关可用版本,请参阅此仓库的 标签。
许可证
本项目采用 MIT 许可证 - 请参阅 LICENSE.md 文件以获取详细信息。
依赖项
~22MB
~228K SLoC