metadata
license: mit
pretty_name: BlobBoards Examples
tags:
- computer-vision
- camera-calibration
- fiducial-markers
- julia
BlobBoards example data
The data BlobBoards.jl's
pipeline examples run on, fetched automatically through the package's
Artifacts.toml catalog — no dataset setup required.
| file | contents | serves |
|---|---|---|
bb_example_boards.tar.gz |
50 board definitions (JSON only, ~0.7 MB). Renders regenerate on demand from the recorded blob lists via BlobBoards' authoring extension (import CairoMakie), cached in a local scratch space — the byte-frozen print-run renders live in the paper's Zenodo assets tier |
everything |
bb_example_still.tar.gz |
one 4240×2832 still + its camera store (cameras.json, vgio/cameras/v1) |
find_boards, calibrated + uncalibrated |
bb_example_video.tar.gz |
one 1920×1080 handheld clip + its camera store | track_boards + trace replay, calibrated + uncalibrated |
Each tarball is a Julia Pkg artifact (content-addressed, sha256-pinned in
BlobBoards' Artifacts.toml); the raw trees are also browsable here.
Cameras are stored in VisualGeometryIo's canonical vgio/cameras/v1
schema and read with VisualGeometryIo.load(CameraModel, "cameras.json").
Consume via the examples:
julia --project=. examples/pipeline/find_boards.jl
julia --project=. examples/pipeline/track_boards.jl