| license: mit | |
| pretty_name: BlobBoards Examples | |
| tags: | |
| - computer-vision | |
| - camera-calibration | |
| - fiducial-markers | |
| - julia | |
| # BlobBoards example data | |
| The data [BlobBoards.jl](https://github.com/prittjam/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 | |
| ``` | |