Instructions to use Blendcap/sam-3d-body with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- SAM 3D Body
How to use Blendcap/sam-3d-body with SAM 3D Body:
from notebook.utils import setup_sam_3d_body estimator = setup_sam_3d_body(Blendcap/sam-3d-body) outputs = estimator.process_one_image(image) rend_img = visualize_sample_together(image, outputs, estimator.faces)
- Notebooks
- Google Colab
- Kaggle
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README.md
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license: other
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license_name: sam-license
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license_link: https://
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tags:
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- sam-3d-body
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- 3d-body
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# SAM 3D Body (DINOv3) — BlendCap Mirror
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Mirror of [facebook/sam-3d-body-dinov3](https://huggingface.co/facebook/sam-3d-body-dinov3) for use by the [BlendCap](https://github.com/Arcomade/BlendCap) performance capture addon's
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Original weights and license belong to Meta. The SAM License (see `LICENSE`) governs use of these weights.
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## Files
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| `yolo11m-pose.pt` | 42 MB | YOLO11m-pose from Ultralytics | AGPL-3.0 (see `LICENSE_YOLO_AGPL.txt`) |
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| `moge-2-vits-normal.pt` | 140 MB | MoGe-2 ViT-S Normal from Microsoft | MIT (see `LICENSE_MOGE_MIT.txt`) |
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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
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## Source
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## Note on "Unsafe" file labels
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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](https://huggingface.co/facebook/sam-3d-body-dinov3/tree/main/assets) and [Ultralytics YOLO11](https://huggingface.co/Ultralytics/YOLO11/tree/daa93d8d54f3f3463965b19c41e62e94a3f377d1)) where the same warning appears. No code modifications.
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---
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license: other
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license_name: sam-license
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license_link: https://huggingface.co/Blendcap/sam-3d-body/blob/main/LICENSE
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tags:
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- sam-3d-body
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- 3d-body
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# SAM 3D Body (DINOv3) — BlendCap Mirror
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Mirror of [facebook/sam-3d-body-dinov3](https://huggingface.co/facebook/sam-3d-body-dinov3) for use by the [BlendCap](https://github.com/Arcomade/BlendCap) performance capture addon's installer.
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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.
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## License — read before downloading
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**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`).
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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.
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## Files
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| `yolo11m-pose.pt` | 42 MB | YOLO11m-pose from Ultralytics | AGPL-3.0 (see `LICENSE_YOLO_AGPL.txt`) |
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| `moge-2-vits-normal.pt` | 140 MB | MoGe-2 ViT-S Normal from Microsoft | MIT (see `LICENSE_MOGE_MIT.txt`) |
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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.
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## Source
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## Note on "Unsafe" file labels
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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](https://huggingface.co/facebook/sam-3d-body-dinov3/tree/main/assets) and [Ultralytics YOLO11](https://huggingface.co/Ultralytics/YOLO11/tree/daa93d8d54f3f3463965b19c41e62e94a3f377d1)) where the same warning appears. No code modifications.
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