imagesam3dbodymapper
February 4, 2026 · View on GitHub
SAM 3D Body (3DB) is a promptable model for single-image full-body 3D human mesh recovery (HMR).
SAM 3D Body(3DB)是一种可提示的模型,用于从单张图像中恢复完整人体的3D网格(HMR)。
Type 算子类型: mapper
Tags 标签: gpu, image
🔧 Parameter Configuration 参数配置
| name 参数名 | type 类型 | default 默认值 | desc 说明 |
|---|---|---|---|
checkpoint_path | <class 'str'> | '' | Path to SAM 3D Body model checkpoint. |
detector_name | <class 'str'> | 'vitdet' | Human detection model for demo (Default vitdet, add your favorite detector if needed). |
segmentor_name | <class 'str'> | 'sam2' | Human segmentation model for demo (Default sam2, add your favorite segmentor if needed). |
fov_name | <class 'str'> | 'moge2' | FOV estimation model for demo (Default moge2, add your favorite fov estimator if needed). |
mhr_path | <class 'str'> | '' | Path to MoHR/assets folder (or set SAM3D_mhr_path). |
detector_path | <class 'str'> | '' | Path to human detection model folder (or set SAM3D_DETECTOR_PATH). |
segmentor_path | <class 'str'> | '' | Path to human segmentation model folder (or set SAM3D_SEGMENTOR_PATH). |
fov_path | <class 'str'> | '' | Path to fov estimation model folder (or set SAM3D_FOV_PATH). |
bbox_thresh | <class 'float'> | 0.8 | Bounding box detection threshold. |
use_mask | <class 'bool'> | False | Use mask-conditioned prediction (segmentation mask is automatically generated from bbox). |
visualization_dir | <class 'str'> | None | Directory to save visualization results. If None, no visualization will be saved. |
tag_field_name | <class 'str'> | 'sam_3d_body_data' | Field name for storing the results. |
args | '' | ||
kwargs | '' |