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Totalsegmentator Onnx Total Fast

Single-graph ONNX export of the nnUNetv2 TotalSegmentator totalfast task. Produced via scripts/exporttotalsegmentatoronnx.py in the Tamias repo.

Sourcehuggingface.co/Aralario/totalsegmentator-onnx-total-fast/tree/3e3f75cafed0153979bc9016aaf7d19a07ba64f3
TypeOtherVersionRevision 3e3f75cCClasse

Source du modèle

Type
Other
Taille du fichier
63,2 MB
Version
vRevision 3e3f75c
Mis à jour
16 sept. 2026
Téléchargements
0
Source
Hugging Face

Description de la source

TotalSegmentator ONNX — task total_fast

Single-graph ONNX export of the nnUNetv2 TotalSegmentator total_fast task. Produced via scripts/export_totalsegmentator_onnx.py in the Tamias repo.

Files

  • fold_0.onnx
  • manifest.json — TotalSegManifest schema (Tamias loads it BYO-URL).
  • LICENSE.txt

How to use in Tamias

  1. Open the TotalSegmentator panel.
  2. Click TotalSegmentator (ONNX) → paste the manifest URL OR pick the manifest.json from disk.
  3. Load a CT volume.
  4. Click Run on current volume.

The browser runtime uses ONE fold per run. For full ensemble accuracy use upstream TotalSegmentator directly (the Tamias native Tauri runner spawns it for you).

License

  • Code (TotalSegmentator, nnUNet, the export script): Apache-2.0
  • Weights: CC-BY-NC-4.0 (research / non-commercial use)

See LICENSE.txt for the full text + upstream pointers.

Sources

1 source
Hugging FacePrincipalVersion 3e3f75cafed0153979bc9016aaf7d19a07ba64f3
huggingface.co/Aralario/totalsegmentator-onnx-total-fast/tree/3e3f75cafed0153979bc9016aaf7d19a07ba64f3

Vérifié 1 sept.

Artefacts du modèle

1 artefact

fold_0.onnx

onnx · 63,2 MB · SHA-256 765abc964db1…ec43 · Hugging Face

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Extraits de sources

2 extraits
Readme1 sept.huggingface.co/Aralario/totalsegmentator-onnx-total-fast

--- license: cc-by-nc-4.0 library_name: onnx pipeline_tag: image-segmentation tags: - medical - medical-imaging - segmentation - ct - nnunet - totalsegmentator - onnx - onnxruntime - onnxruntime-web - total_fast --- # TotalSegmentator ONNX — task `total_fast` Single-graph ONNX export of the nnUNetv2 TotalSegmentator `total_fast` task. Produced via `scripts/export_totalsegmentator_onnx.py` in the Tamias repo. ## Files - `fold_0.onnx` - `manifest.json` — TotalSegManifest schema (Tamias loads it BYO-URL). - `LICENSE.txt` ## How to use in Tamias 1. Open the TotalSegmentator panel. 2. Click `TotalSegmentator (ONNX)` → paste the manifest URL OR pick the `manifest.json` from disk. 3. Load a CT volume. 4. Click *Run on current volume*. The browser runtime uses ONE fold per run. For full ensemble accuracy use upstream TotalSegmentator directly (the Tamias native Tauri runner spawns it for you). ## License - **Code** (TotalSegmentator, nnUNet, the export script): Apache-2.0 - **Weights**: CC-BY-NC-4.0 (research / non-commercial use) See LICENSE.txt for the full text + upstream pointers.

Note1 sept.huggingface.co/Aralario/totalsegmentator-onnx-total-fast

Source context: 0 downloads · 0 likes · Pipeline image-segmentation · Library onnx · Repo Aralario/totalsegmentator-onnx-total-fast