Expand description
High-level facade crate for the calib-targets-* workspace.
This crate provides:
- stable, convenient re-exports of the underlying detector crates
- (feature-gated) end-to-end helpers that run a ChESS corner detector
(
chess-corners) and then run a target detector on an image or raw buffer.
§Quickstart
use calib_targets::detect;
use calib_targets::chessboard::ChessboardParams;
use image::ImageReader;
let img = ImageReader::open("board.png")?.decode()?.to_luma8();
let chess_cfg = detect::default_chess_config();
let params = ChessboardParams::default();
let result = detect::detect_chessboard(&img, &chess_cfg, params);
println!("detected: {}", result.is_some());§Python bindings
Python bindings live in crates/calib-targets-py and expose the
calib_targets module. See crates/calib-targets-py/README.md in the
repository for setup and the detect_* APIs. Config inputs accept typed
Python classes or dict overrides; detect_charuco requires params with
params.board. For marker boards, target_position is populated only when
params.layout.cell_size (or params["layout"]["cell_size"]) is provided
and alignment succeeds.
§API map
calib_targets::core: core types (corners, grids, homographies, images).calib_targets::chessboard: chessboard detection from ChESS corners.calib_targets::aruco: ArUco/AprilTag dictionaries and marker decoding.calib_targets::charuco: ChArUco board alignment and IDs.calib_targets::marker: checkerboard + circle marker boards.calib_targets::detect(featureimage): end-to-end helpers fromimage::GrayImage.
§Performance
Benchmarks are coming. The goal is to be the fastest detector in this class while maintaining high sensitivity and accuracy.
Re-exports§
pub use calib_targets_aruco as aruco;pub use calib_targets_charuco as charuco;pub use calib_targets_chessboard as chessboard;pub use calib_targets_core as core;pub use calib_targets_marker as marker;
Modules§
Structs§
- Chessboard
Params - Parameters specific to the chessboard detector.
- Corner
- Canonical 2D corner used by all target detectors.
- Grid
Coords - Integer grid coordinates (i, j) in board space.
- Labeled
Corner - A corner that is part of a detected target, with optional ID info.
- Target
Detection - One detected target (board instance) in an image.
Enums§
- Target
Kind - The kind of target that a detection corresponds to.