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hand-motion-pipeline/configs/inference.yaml
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# HandFlow inference configuration
# Shared by scripts/demo.py
model_yaml: configs/model.yaml
# The denoiser requires window_size (only this field; other dataset fields are eval-only and omitted)
dataset:
window_size: 16
inference:
ode_steps: 3
overlap_size: 8
overlap_method: vblend # avg | vblend
window_size: 16
conf_threshold: 0.1 # HaMeR confidence threshold
# MANO model directory (environment variable, see README; overridable by run-script CLI args)
eval:
mano_root: ${oc.env:MANO_ROOT}
# fm_ckpt is passed via the run script's --fm_ckpt CLI arg (specified per inference)