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First of all, thank you for the great work and for open-sourcing this project!
I'm encountering an issue when running the example with run_prior: True, using the demo2 sequence. Below is the relevant output and error trace:
/app/outputs/logs/video-custom/2025-07-09/demo2-all-shot-0-0-500 ... /app/_DATA/hmp_model/mean-neutral-128-30fps.pt
mean: ['rotmat', 'pos', 'trans', 'root_vel', 'height', 'rot6d', 'angular', 'global_xform', 'velocity', 'root_orient']
std: ['rotmat', 'pos', 'trans', 'root_vel', 'height', 'rot6d', 'angular', 'global_xform', 'velocity', 'root_orient']
Loading from /app/_DATA/hmp_model/results/model
Load succeeded
2025-07-09 21:54:15.001 | INFO | HMP.fitting:multi_stage_opt:680 - Running reconstruction with prior
loading data...
obs_data: dict_keys(['joints2d', 'init_body_pose', 'init_body_shape', 'init_root_orient', 'init_trans', 'is_right', 'vis_mask', 'seq_interval', 'track_interval', 'track_id', 'seq_name'])
res_dict: dict_keys(['betas', 'trans', 'world_scale', 'latent_pose', 'root_orient', 'init_body_pose', 'is_right', 'pose_body', 'cam_R', 'cam_t', 'intrins'])
betas (2, 10)
trans (2, 189, 3)
world_scale (1, 1)
latent_pose (2, 189, 15, 3)
root_orient (2, 189, 3)
init_body_pose (2, 189, 15, 3)
is_right (2, 189)
pose_body (2, 189, 15, 3)
cam_R (2, 189, 3, 3)
cam_t (2, 189, 3)
intrins (4,)
Sequence has 189 frames
torch.Size([189, 16, 3])
Error executing job with overrides: ['data=video', 'run_opt=True', 'data.seq=demo2']
Traceback (most recent call last):
File "/app/dyn-hamr/run_opt.py", line 197, in main
run_opt(cfg, dataset, out_dir, device)
File "/app/dyn-hamr/run_opt.py", line 166, in run_opt
run_prior(cfg, dataset, out_dir, device, ['smooth_fit'], \
File "/app/dyn-hamr/HMP/fitting.py", line 1724, in run_prior
fitting_prior(obs_data, res_dicts, hand_model, opt, data_args, prior_out, device)
File "/app/dyn-hamr/HMP/fitting.py", line 1635, in fitting_prior
multi_stage_opt(opt, device, obs_data, res_dict, hand_model, os.path.join(os.path.dirname(__file__), opt.HMP.config), opt.HMP.exp_name, init_method)
File "/app/dyn-hamr/HMP/fitting.py", line 750, in multi_stage_opt
data = get_stage2_res(opt.paths.base_dir, device, init_dict, hand_model)
File "/app/dyn-hamr/HMP/fitting.py", line 216, in get_stage2_res
assert len(pose) == 128
AssertionError
It seems like the code expects the sequence length to be exactly 128 frames. Should I manually trim or split my video into 128-frame segments before running with run_prior: True? Or is there another recommended way to handle longer sequences?
Thanks in advance for your help!
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