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# Config for SmoothNet filter trained on Human3.6M data with a window size of
# 16. The model is trained using root-centered keypoint coordinates around the
# pelvis (index:0), thus we set root_index=0 for the filter
filter_cfg = dict(
type='SmoothNetFilter',
window_size=16,
output_size=16,
checkpoint='https://download.openmmlab.com/mmpose/plugin/smoothnet/'
'smoothnet_ws16_h36m.pth',
hidden_size=512,
res_hidden_size=256,
num_blocks=3,
root_index=0)