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Blendcap/sam-3d-body
sam-3d-body is a machine learning model from Blendcap. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for sam-3d-body. The card lists the license as other.
Mirror of facebook/sam-3d-body-dinov3 for use by the BlendCap performance capture addon's installer.
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.ckpt2.1 GB · 71%
From the Hugging Face model README
Mirror of facebook/sam-3d-body-dinov3 for use by the BlendCap performance capture addon's installer.
Original weights and license belong to Meta. The SAM License (see LICENSE) governs use of these weights. This repository is not affiliated with or endorsed by Meta.
By downloading or using the files in this repository you accept the license terms that govern them. Under the SAM License's own terms (Section 6), the agreement commences upon acceptance of the agreement or access to the materials. A copy is included in this repository as LICENSE; the convenience copies below keep their own licenses (LICENSE_YOLO_AGPL.txt, LICENSE_MOGE_MIT.txt).
In short: commercial use is permitted royalty-free, redistribution must carry the license text along, use must comply with the license's restrictions (including its trade-control and weapons-related prohibitions), and everything is provided as-is with no warranty.
| File | Size | Description | License |
|---|---|---|---|
model.ckpt | 2.1 GB | Main SAM 3D Body checkpoint (DINOv3 backbone) | SAM License (see LICENSE) |
assets/mhr_model.pt | 696 MB | MHR (Meta Human Rig) parametric model | SAM License (see LICENSE) |
model_config.yaml | 1.5 KB | Model configuration | SAM License (see LICENSE) |
| File | Size | Source | License |
|---|---|---|---|
yolo11m-pose.pt | 42 MB | YOLO11m-pose from Ultralytics | AGPL-3.0 (see LICENSE_YOLO_AGPL.txt) |
moge-2-vits-normal.pt | 140 MB | MoGe-2 ViT-S Normal from Microsoft | MIT (see LICENSE_MOGE_MIT.txt) |
The SAM 3D Body files mirror the original facebook/sam-3d-body-dinov3 repo unmodified. YOLO and MoGe copies are pinned snapshots from their respective upstream sources, included so the installer's first-run flow can pull all PyTorch weights from one place.
Original repo: facebook/sam-3d-body-dinov3 (gated — requires HF account + Meta license acceptance).
HuggingFace flags .pt/.pth files as "unsafe" by default because the pickle format CAN contain executable code. This label applies to mhr_model.pt and yolo11m-pose.pt in this repo. These files are bit-for-bit identical to their upstream sources (Meta's SAM 3D Body and Ultralytics YOLO11) where the same warning appears. No code modifications.