Crate opencv_ros_camera
source · [−]Expand description
Geometric models of OpenCV/ROS cameras for photogrammetry
About
This crate provides a geometric model of a camera compatible with OpenCV as
used by ROS (the Robot Operating System). The crate is in pure Rust, can be
compiled in no_std mode, implements the
IntrinsicsParameters
trait from the cam-geom and provides
support to read and write camera models in various formats.
In greater detail:
- Compatible with camera calibrations made by the ROS
camera_calibrationpackage, including monocular and stereo calibrations. Despite this compatibility, does not depend on ROS or OpenCV. (Furthermore, there is also no dependency on the excellent rosrust crate). - Can be compiled without the Rust standard library or allocator to support embedded applications.
- The
RosOpenCvIntrinsicstype implements theIntrinsicsParameterstrait from thecam-geomcrate. Thus, acam_geom::Cameracan be created to handle intrinsic parameters usingRosOpenCvIntrinsicsand camera pose handled by theExtrinsicParametersstruct fromcam-geom. (See the example below.) - When compiled with the
serde-serializefeature, read camera calibrations saved by the ROScamera_calibration/cameracalibrator.pynode in~/.ros/camera_info/camera_name.yamlwithfrom_ros_yaml. - When compiled with the
serde-serializefeature, read and write theRosOpenCvIntrinsicsstruct using serde.
Example - read a ROS YAML file and create a cam_geom::Camera from it.
Let’s say we have YAML file saved by the ROS
camera_calibration/cameracalibrator.py node. How can we create a
cam_geom::Camera
from this?
use nalgebra::{Matrix2x3, Unit, Vector3};
// Here we have the YAML file contents hardcoded in a string. Ordinarily, you
// would read this from a file such as `~/.ros/camera_info/camera_name.yaml`, but
// for this example, it is hardcoded here.
let yaml_buf = b"image_width: 659
image_height: 494
camera_name: Basler_21029382
camera_matrix:
rows: 3
cols: 3
data: [516.385667640757, 0, 339.167079537312, 0, 516.125799367807, 227.37993524141, 0, 0, 1]
distortion_model: plumb_bob
distortion_coefficients:
rows: 1
cols: 5
data: [-0.331416226762003, 0.143584747015566, 0.00314558656668844, -0.00393597842852019, 0]
rectification_matrix:
rows: 3
cols: 3
data: [1, 0, 0, 0, 1, 0, 0, 0, 1]
projection_matrix:
rows: 3
cols: 4
data: [444.369750976562, 0, 337.107817516087, 0, 0, 474.186859130859, 225.062742824321, 0, 0, 0, 1, 0]";
// The ROS YAML file does not contain the pose (no extrinsic parameters). Here we
// specify them directly. The camera is at (10,0,0), looking at (0,0,0), with up (0,0,1).
let camcenter = Vector3::new(10.0, 0.0, 0.0);
let lookat = Vector3::new(0.0, 0.0, 0.0);
let up = Unit::new_normalize(Vector3::new(0.0, 0.0, 1.0));
let pose = cam_geom::ExtrinsicParameters::from_view(&camcenter, &lookat, &up);
// We need the `serde-serialize` feature for the `from_ros_yaml` function.
#[cfg(feature = "serde-serialize")]
{
let from_ros = opencv_ros_camera::from_ros_yaml(&yaml_buf[..]).unwrap();
// Finally, create camera from intrinsic and extrinsic parameters.
let camera = cam_geom::Camera::new(from_ros.intrinsics, pose);
}testing
Test no_std compilation with:
cargo check --no-default-features --target thumbv7em-none-eabihfRun unit tests with:
cargo test
cargo test --features serde-serializeserde support requires std.
re-render README.md
cargo install cargo-readme
cargo readme > README.mdStructs
Specifies distortion using the Brown-Conrady “plumb bob” model.
A struct with RosOpenCvIntrinsics, camera name and image sensor dimensions.
Camera calibration info as saved by ROS.
Matrix saved by ROS.
A perspective camera model with distortion compatible with OpenCV and ROS.
Undistorted 2D pixel locations
Enums
Possible errors.
The type defines termination criteria for iterative algorithms.
Traits
Extension trait to add world_to_undistorted_pixel() method.
Functions
Construct NamedIntrinsicParameters from ROS format YAML data.
Type Definitions
Result type