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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

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")

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