smpl only have 69 poses

[koukau77]

I run the convert2bvh.py and I found the smpl file just have 69 poses. It should be 72.

0
id	0
Rh
0
0	-2.796
1	0.019
2	-0.623
Th
0
0	-0.122
1	-0.72
2	4.401
poses
0
0	0.237
1	0.127
2	0.109
3	0.267
4	-0.071
5	0.029
6	-0.041
7	0.014
8	0.02
9	-0.118
10	0.039
11	-0.037
12	-0.28
13	0.019
14	0.057
15	-0.054
16	-0.017
17	0.007
18	0.024
19	0.191
20	-0.12
21	-0.068
22	-0.14
23	0.118
24	0.036
25	-0.015
26	0.026
27	-0.139
28	0.091
29	0.159
30	0.079
31	-0.01
32	-0.161
33	-0.063
34	0.019
35	0.069
36	0.081
37	0.169
38	-0.358
39	0.008
40	-0.016
41	0.387
42	0.004
43	-0.059
44	-0.001
45	0.184
46	0.011
47	-0.91
48	0.229
49	0.162
50	0.966
51	0.331
52	-0.724
53	0.232
54	0.274
55	0.663
56	-0.156
57	0.073
58	-0.191
59	-0.129
60	0.062
61	0.108
62	0.085
63	-0.281
64	-0.012
65	-0.154
66	-0.097
67	0.051
68	0.131
shapes
0
0	0.479
1	0.5
2	-0.492
3	0.509
4	-0.35
5	0.002
6	-0.003
7	0.402
8	-0
9	0.249

[blxl909]

I notice this form another issue

If you don't use the translation, you can simple replace the first 3-dimension of poses by Rh.

so I change code in convert2bvh.py

def merge_params(param_list, share_shape=True):
    output = {}
    for key in ['poses', 'shapes', 'Rh', 'Th', 'expression']:
        if key in param_list[0].keys():
            output[key] = np.vstack([v[key] for v in param_list])
    output['poses'] = np.concatenate((output['Rh'] , output['poses']),axis=1)
    if share_shape:
        print(output['poses'].shape)
        output['shapes'] = output['shapes'].mean(axis=0, keepdims=True)
    return output

then I retarget with rokoko,maybe it works fine