nguyetn89 / skeleton-HMM

An implementation of the paper "Skeleton-based abnormal gait detection"
BSD 2-Clause "Simplified" License
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RUN ERROR #1

Open pan111-pp opened 10 months ago

pan111-pp commented 10 months ago

Traceback (most recent call last): File "main.py", line 157, in main(sys.argv) File "main.py", line 153, in main HMMgait3_fullsequence(data, np.where(separation == 'test')[0], n_subjects = data.shape[0], n_gaits = data.shape[1], File "main.py", line 66, in HMMgait3_fullsequence hmm_model = train_hmm(train_cycle_vectors, state_num, obs_num) File "/root/pwc/skeleton-HMM-master/func_HMM.py", line 74, in train_hmm model.fit(data_transposed, lengths=obs_lengths_array) File "/root/anaconda3/envs/pwc_ske/lib/python3.8/site-packages/hmmlearn/base.py", line 468, in fit self._init(X, lengths) File "/root/anaconda3/envs/pwc_ske/lib/python3.8/site-packages/hmmlearn/hmm.py", line 895, in _init super()._init(X, lengths=None) File "/root/anaconda3/envs/pwc_ske/lib/python3.8/site-packages/hmmlearn/base.py", line 908, in _init self._check_and_set_n_features(X) File "/root/anaconda3/envs/pwc_ske/lib/python3.8/site-packages/hmmlearn/_emissions.py", line 317, in _check_and_set_n_features super()._check_and_set_n_features(X) File "/root/anaconda3/envs/pwc_ske/lib/python3.8/site-packages/hmmlearn/base.py", line 527, in _check_and_set_n_features raise ValueError( ValueError: Unexpected number of dimensions, got 1 but expected 43

What seems to be the problem with this?

hajkeoadf commented 4 months ago

same problem