SharpMeow/pherc0814-afv-fibers

PHerc0814 papyrus fibers (AFV V2)

Every papyrus fiber that Qual's AFV V2 model finds in the whole PHerc0814 scan, traced into curves with his AVF_SPLINE_GENERATOR: 5,542,700 fibers (5,177 m of fiber in all), 1,073,424 of them 1 mm or longer. Horizontal fibers run along the wraps; vertical fibers cross them. Same model, same recipe and the same .afv format as Qual's own published sets, run here on a scan he had not done.

Zoom on dense wraps: horizontal fibers (cyan) follow each sheet, vertical fibers (orange) cross the slice as short marks.	Every fiber in a 256-voxel cube, turning.
Sweeping through 60 slices of the zoom box.	A vertical section through the same place: here the vertical fibers show as long lines.

What is here

File	What	Size
PHerc0814_afv_v2_1mm.afv	fibers 1 mm and longer, the set most people want: 1,073,424 fibers, 247,634,700 points	8.17 GB
PHerc0814_afv_v2.afv	every traced fiber: 5,542,700 fibers, 351,868,414 points	13.76 GB
tiles/	one small .afv per 1024-voxel cell of the model's grid (355 cells with fibers); tiles/index.json gives each cell's level-0 box. Read a box without the whole file.	24.45 GB
stream/	the same fibers as 661 Parquet shards on a spatial grid, every fiber in exactly one, with stream/index.json: stream any box without the whole file (below)	4.03 GB
previews/	the pictures on this card and their views (index.json)
load_example.py	read the fibers in any box with Python's sqlite3 and NumPy
villa-check.jsonl	villa's own AFV reader run over every file here
stats.json	the counts on this card

	Fibers	Fiber length	Median	90th percentile	Longest
All, horizontal	2,672,997	2,471 m
All, vertical	2,869,703	2,706 m
All	5,542,700	5,177 m	0.32 mm	2.02 mm	82.4 mm
1 mm and longer, horizontal	524,309	1,739 m
1 mm and longer, vertical	549,115	1,945 m
1 mm and longer	1,073,424	3,684 m	2.09 mm	7.18 mm	82.4 mm

Get it

hf download SharpMeow/pherc0814-afv-fibers PHerc0814_afv_v2_1mm.afv --repo-type dataset --local-dir pherc0814-afv-fibers
python3 load_example.py pherc0814-afv-fibers/PHerc0814_afv_v2_1mm.afv        # or: X Y Z [HALF] in level-0 voxels

Or explore any box, see it over the CT and download just that box as .afv, on the AFV Fibers page.

Stream a box

Read just the fibers in one box, without downloading the whole file, with the Scrolls kit (pip install numpy pyarrow, then from a clone):

python -m kit fibers stream --scan PHerc0814 --box 12672 12928 2432 2688 3456 3712 --out box.afv

The box is Z0 Z1 Y0 Y1 X0 X1 in level-0 voxels. This one holds 1,536 fibers and read 16.9 MB of the 13.76 GB whole-scan file (measured 28 Oct 2026). The result is exactly what filtering PHerc0814_afv_v2.afv gives: the same fibers, and a byte-identical box.afv that villa's importer opens. Add --family H or V, or --min-len 1 for the 1 mm set. Every fiber as rows, streamed with the datasets library:

from datasets import load_dataset
ds = load_dataset("SharpMeow/pherc0814-afv-fibers", "stream", streaming=True, split="train")
for row in ds.take(3):
    print(row["id"], row["family"], row["length_mm"], len(row["points"]) // 3)

Each row is one fiber: its .afv columns, bounding box (bmin_x to bmax_z), blocks and points (flat x, y, z, float64). Before upload, every test box, a control box outside the scan (no fibers) and the whole scan were streamed back from here and matched the whole-scan file; the format and checks are on the tool page.

Open in VC3D

PYTHONPATH=build/python python3 vc_object_store/scripts/import_afv.py PHerc0814_afv_v2_1mm.afv pherc0814-fibers.vcobj \
    --volume-id 20250804134230

Then attach pherc0814-fibers.vcobj from VC3D's File → Object Store menu, with the 20250804134230-9.362um-1.2m-113keV-masked.zarr volume open (its catalog id must be 20250804134230; see the script's notes for a local cache). villa's import_afv.py takes native level-0 coordinates; every file here is in level-0 voxels of 20250804134230-9.362um-1.2m-113keV-masked.zarr with scale factor 1, and that script's own reader accepted every file before upload (villa-check.jsonl).

How it was made

• Scan: PHerc0814, 20250804134230-9.362um-1.2m-113keV-masked.zarr, Vesuvius Challenge open data. The model ran on level 0 (9.362 um voxels).
• Fiber maps: Qualzz20/afv_fiber_9um_v2 (nnU-Net, checkpoint sha256 b8519a4c...), Qual's recipe: 128-voxel windows at stride 64 on one global lattice, Gaussian blending, bf16, per-window normalization, no mirroring. 351 blocks of 1024 voxels on Hugging Face Jobs (RTX PRO 6000).
• Curves: AVF_SPLINE_GENERATOR at commit 3c8b7362, run per 1024-voxel region with a 128-voxel halo and seeds only inside the region, on Hugging Face CPU Jobs.
• Stitching: each region's curves cut at its own faces and joined across faces where ends meet within 1.5 voxels (747,725 joins); then the CT exterior cleaning Qual uses (curves touching air connected to the scan's outside are dropped). No region missing.
• Checks: on a test cube of Qual's own published V2 set, this pipeline's fibers match his to 98% within one voxel (recall and precision), with lengths within 1%. Region stitching matches one unsplit run to 99.75 to 99.99% within one voxel.

Notes

Model output, nobody has checked it fiber by fiber. Fibers are geometry, a map of papyrus structure: not a reading of any text.

Related

The AFV Fibers page has all six scans and a catalog of every public fiber set, including Qual's own.

Credit and terms

Fiber model, spline generator and .afv format: Qual, Apache 2.0. Scan: Vesuvius Challenge open data, CC BY-NC 4.0; these fibers are derived from it and shared under the same terms. Runs, stitching and this dataset: Chase Hendrick.