metadata
library_name: motius
pipeline_tag: other
license: other
tags:
- monocular-motion-capture
- gvhmr
Motius GVHMR
Repository-native, source-pinned GVHMR for monocular camera-relative and world-grounded human motion recovery.
- Motius model card: https://github.com/ZeyuLing/Motius/blob/main/docs/model_zoo/gvhmr.md
- Pinned source revision:
6ec3ca39336c50492c0fae65fba2fb831fc7d866 - GVHMR checkpoint SHA-256:
4fae7da2de388d5da3514cb27a2d003f364dacb280e9cf88972b710e589c6b91
from motius.pipelines.gvhmr import GVHMRPipeline
pipeline = GVHMRPipeline.from_pretrained(
"ZeyuLing/Motius-GVHMR",
bundle_kwargs={
"python_executable": "outputs/envs/gvhmr/bin/python",
"body_models_root": "checkpoints/body_models",
},
)
result = pipeline.infer_monocular_motion_capture(
"input.mp4",
output_root="outputs/gvhmr/run_001",
)
3DPW Test
| Coverage | MPJPE | PA-MPJPE | Acceleration |
|---|---|---|---|
| 100.00% | 62.65 mm | 47.66 mm | 5.47 m/s2 |
The source migration passes exact parity over 39 fields across tracking, camera construction, visual features, model input, and decoded model output.
Preview
| Clip 01 | Clip 02 | Clip 03 |
|---|---|---|
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This artifact is restricted to educational, research, and non-profit use. Licensed SMPL and SMPL-X body models are not included.
Direct Loading
from motius import Pipeline
pipeline = Pipeline.from_pretrained("ZeyuLing/Motius-GVHMR")