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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.

Fuentehuggingface.co/Aralario/totalsegmentator-onnx-total-fast/tree/3e3f75cafed0153979bc9016aaf7d19a07ba64f3
TipoOtherVersiónRevision 3e3f75cCcalidad

Fuente del modelo

Tipo
Other
Tamaño del archivo
63,2 MB
Versión
vRevision 3e3f75c
Actualizado
16 sept 2026
Descargas
0
Fuente
Hugging Face

Descripción de la fuente

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.

Fuentes

1 fuente
Hugging FacePrincipalVersión 3e3f75cafed0153979bc9016aaf7d19a07ba64f3
huggingface.co/Aralario/totalsegmentator-onnx-total-fast/tree/3e3f75cafed0153979bc9016aaf7d19a07ba64f3

Verificado 1 sept

Artefactos del modelo

1 artefacto

fold_0.onnx

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

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Extractos de fuentes

2 extractos
Readme1 septhuggingface.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 septhuggingface.co/Aralario/totalsegmentator-onnx-total-fast

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