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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
KindOtherVersionRevision 3e3f75cCgrade

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Other
File size
63.2 MB
Version
vRevision 3e3f75c
Updated
Sep 16, 2026
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0
Source
Hugging Face

Source description

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 FacePrimaryVersion 3e3f75cafed0153979bc9016aaf7d19a07ba64f3
huggingface.co/Aralario/totalsegmentator-onnx-total-fast/tree/3e3f75cafed0153979bc9016aaf7d19a07ba64f3

Verified Sep 1

Model artifacts

1 artifact

fold_0.onnx

onnx · 63.2 MB · SHA-256 765abc964db1…ec43 · Hugging Face

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Source excerpts

2 excerpts
ReadmeSep 1huggingface.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.

NoteSep 1huggingface.co/Aralario/totalsegmentator-onnx-total-fast

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