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hmr-dataset / genmo /network /stats_compose.py
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 # fmt:off
body_pose_r6d = {
"bedlam": {
"count": 5417929,
"mean": [ 0.9772, -0.0925, 0.0028, 0.1058, 0.9111, 0.1373, 0.9796, 0.0711,
-0.0193, -0.0816, 0.8910, 0.1953, 0.9935, 0.0072, 0.0270, -0.0046,
0.9200, -0.2511, 0.9752, 0.0477, -0.0990, -0.0613, 0.8242, -0.2730,
0.9836, -0.0400, 0.0067, 0.0148, 0.7836, -0.3471, 0.9931, -0.0300,
-0.0469, 0.0244, 0.9825, -0.0513, 0.9777, 0.0206, 0.1444, -0.0470,
0.9603, 0.1521, 0.9804, -0.0362, -0.0902, 0.0500, 0.9546, 0.1337,
0.9969, -0.0105, 0.0076, 0.0090, 0.9914, 0.0150, 0.9953, -0.0607,
0.0089, 0.0602, 0.9942, 0.0146, 0.9934, -0.0682, -0.0171, 0.0680,
0.9932, -0.0017, 0.9790, 0.0294, 0.0065, -0.0338, 0.9706, -0.0456,
0.9056, 0.2457, -0.1029, -0.2279, 0.9262, 0.0145, 0.9233, -0.1301,
0.1550, 0.1140, 0.9476, 0.0534, 0.9769, -0.0572, -0.0095, 0.0569,
0.9690, 0.0472, 0.6782, 0.5746, -0.2378, -0.5546, 0.7212, 0.0917,
0.6489, -0.5955, 0.2424, 0.5821, 0.6797, 0.0563, 0.5562, -0.1252,
-0.5860, 0.0937, 0.9176, -0.1287, 0.4453, 0.1421, 0.6119, -0.1427,
0.8996, -0.1136, 0.9186, -0.0881, -0.1463, 0.1087, 0.8692, 0.0845,
0.9175, 0.0257, 0.0663, -0.0385, 0.8603, 0.1020],
"std": [0.0429, 0.1392, 0.1236, 0.1323, 0.1645, 0.3086, 0.0375, 0.1406, 0.1172,
0.1275, 0.1934, 0.3280, 0.0119, 0.0835, 0.0716, 0.0741, 0.1528, 0.2484,
0.0349, 0.0947, 0.1633, 0.0924, 0.3469, 0.3370, 0.0273, 0.1009, 0.1411,
0.0680, 0.3876, 0.3323, 0.0103, 0.0735, 0.0712, 0.0690, 0.0246, 0.1617,
0.0216, 0.1097, 0.1016, 0.0924, 0.0509, 0.2035, 0.0245, 0.1188, 0.1212,
0.1056, 0.0634, 0.2308, 0.0054, 0.0579, 0.0517, 0.0575, 0.0124, 0.1158,
0.0076, 0.0654, 0.0367, 0.0644, 0.0118, 0.0592, 0.0116, 0.0829, 0.0361,
0.0832, 0.0124, 0.0422, 0.0343, 0.1060, 0.1680, 0.1075, 0.0473, 0.2023,
0.0701, 0.2344, 0.2213, 0.2632, 0.0589, 0.1318, 0.0767, 0.2456, 0.2009,
0.2666, 0.0542, 0.1106, 0.0347, 0.1080, 0.1718, 0.1117, 0.0459, 0.2025,
0.1882, 0.2769, 0.2032, 0.3072, 0.1447, 0.2204, 0.2018, 0.2820, 0.2126,
0.3213, 0.1760, 0.2486, 0.4749, 0.1677, 0.2791, 0.2239, 0.0963, 0.2705,
0.5540, 0.1846, 0.2572, 0.2411, 0.1287, 0.2878, 0.1151, 0.2993, 0.1557,
0.2812, 0.1880, 0.3334, 0.1286, 0.3355, 0.1553, 0.3216, 0.1880, 0.3306]
},
"amass": {
"count": 7114038,
"mean": [ 9.6969e-01, -5.9719e-02, -3.7700e-02, 5.8256e-02, 9.0800e-01,
1.0972e-01, 9.7636e-01, 4.3401e-02, 4.3110e-03, -4.3032e-02,
9.0261e-01, 1.4478e-01, 9.9288e-01, 3.5673e-03, 1.6264e-02,
-2.2260e-03, 9.3470e-01, -2.3495e-01, 9.7147e-01, 5.2553e-02,
-9.3666e-02, -5.4550e-02, 8.3321e-01, -2.4246e-01, 9.7971e-01,
-3.8429e-02, 5.3575e-03, 1.5537e-02, 8.1449e-01, -3.0926e-01,
9.9532e-01, -9.4398e-03, -3.8328e-02, 8.5141e-03, 9.8880e-01,
1.9976e-04, 9.5602e-01, -3.9528e-02, 2.0017e-01, 1.0363e-02,
9.5965e-01, 1.3770e-01, 9.6223e-01, -4.6278e-02, -1.5177e-01,
6.6705e-02, 9.5545e-01, 1.2519e-01, 9.9767e-01, -1.2616e-02,
-2.5442e-04, 1.1661e-02, 9.9376e-01, -3.6222e-02, 9.9511e-01,
-1.0583e-02, 1.2130e-02, 7.6461e-03, 9.9137e-01, 2.0029e-02,
9.9295e-01, 7.2917e-03, 4.9454e-03, -8.0286e-03, 9.9137e-01,
2.3707e-03, 9.7698e-01, 1.9943e-02, 1.3808e-03, -2.2006e-02,
9.7375e-01, -6.7936e-02, 9.2804e-01, 2.5005e-01, -5.7167e-02,
-2.4047e-01, 9.4246e-01, 2.5863e-02, 9.2957e-01, -2.1329e-01,
1.1112e-01, 2.0741e-01, 9.4876e-01, 2.9901e-02, 9.7683e-01,
-4.1210e-02, 2.3248e-03, 4.0967e-02, 9.7365e-01, 5.7309e-03,
6.4513e-01, 6.1999e-01, -2.5469e-01, -6.2342e-01, 6.8177e-01,
3.5524e-02, 6.6192e-01, -5.9341e-01, 2.7136e-01, 5.9269e-01,
6.8966e-01, 3.1309e-02, 6.8946e-01, -1.1676e-01, -4.9859e-01,
4.0969e-02, 9.3656e-01, -1.4875e-01, 6.2787e-01, 1.3793e-01,
5.4289e-01, -9.1946e-02, 9.2868e-01, -1.1927e-01, 9.3012e-01,
-8.3810e-02, -1.1951e-01, 9.7211e-02, 8.9118e-01, 5.9887e-02,
9.3033e-01, 7.1047e-02, 7.5264e-02, -8.0679e-02, 8.8562e-01,
4.8960e-02],
"std": [0.0612, 0.1390, 0.1779, 0.1415, 0.1826, 0.3268, 0.0440, 0.1382, 0.1542,
0.1348, 0.1930, 0.3272, 0.0132, 0.0801, 0.0855, 0.0729, 0.1255, 0.2238,
0.0554, 0.1088, 0.1727, 0.0939, 0.3294, 0.3559, 0.0532, 0.1082, 0.1554,
0.0768, 0.3446, 0.3407, 0.0120, 0.0650, 0.0584, 0.0632, 0.0198, 0.1335,
0.0631, 0.1250, 0.1574, 0.1047, 0.0730, 0.2091, 0.0759, 0.1241, 0.1667,
0.1112, 0.0831, 0.2185, 0.0060, 0.0441, 0.0502, 0.0441, 0.0102, 0.0946,
0.0237, 0.0722, 0.0610, 0.0738, 0.0479, 0.0949, 0.0369, 0.0943, 0.0610,
0.0966, 0.0498, 0.0729, 0.0425, 0.1001, 0.1824, 0.0972, 0.0408, 0.1887,
0.0594, 0.1842, 0.1884, 0.2020, 0.0457, 0.1018, 0.0640, 0.1990, 0.1854,
0.2133, 0.0467, 0.0910, 0.0392, 0.1049, 0.1776, 0.1037, 0.0413, 0.1945,
0.1733, 0.2612, 0.1905, 0.2963, 0.1512, 0.1861, 0.1710, 0.2663, 0.1896,
0.3135, 0.1568, 0.2219, 0.3976, 0.1594, 0.2810, 0.1855, 0.0845, 0.2398,
0.4398, 0.1629, 0.2685, 0.1990, 0.0998, 0.2556, 0.1137, 0.2837, 0.1419,
0.2761, 0.1678, 0.2973, 0.1172, 0.3010, 0.1394, 0.2910, 0.1724, 0.3039]
}
}
betas = {
"bedlam": {
"count": 37855, # so many subjects?
"mean": [ 0.0378, -0.3562, 0.1185, 0.2245, 0.0204, 0.0929, 0.0537, 0.1006,
-0.1180, 0.0936],
"std":[0.8070, 1.3480, 0.8964, 0.7390, 0.6433, 0.6089, 0.5374, 0.6984, 0.7263,
0.5395],
},
"amass": {
"count": 18086,
"mean": [ 0.2310, 0.1750, 0.2931, -0.1859, -1.1163, -1.1028, -0.2573, 0.3555,
0.3732, 0.2852],
"std": [0.8831, 0.7965, 1.0899, 1.1788, 1.2128, 1.1081, 0.9780, 1.1434, 0.8498,
1.1462],
}
}
global_orient_c_r6d = {
"bedlam": {
"count": 5417929,
"mean": [-4.9862e-03, -8.7136e-04, -1.4187e-03, 1.4825e-02, -9.4419e-01,
-5.1653e-02],
"std": [0.7048, 0.1713, 0.6884, 0.1548, 0.1546, 0.2403],
},
}
global_orient_gv_r6d = {
"bedlam": {
"count": 5134187,
"mean": [ 3.6018e-04, -2.2327e-04, 2.2316e-03, -4.4879e-02, -9.7435e-01,
1.0021e-01],
"std": [0.6070, 0.5355, 0.5873, 0.6285, 0.2336, 0.7675],
},
}
local_transl_vel = {
"none":{
"mean": [0., 0., 0.],
"std": [1., 1., 1.]
},
"1e-2":{
"mean": [0., 0., 0.],
"std": [1e-2, 1e-2, 1e-2]
},
"bedlam": {
"count": 5417929,
"mean": [7.3057e-05, -2.2142e-04, 3.2444e-03],
"std": [0.0065, 0.0091, 0.0114],
},
"amass": {
"count": 7113068,
"mean": [-0.0002, -0.0006, 0.0069],
"std": [0.0064, 0.0070, 0.0138],
},
"alignhead":{
"count": 7113068,
"mean":[-2.0822e-04, -1.7966e-06, 6.9816e-03],
"std":[0.0065, 0.0066, 0.0139],
},
"alignhead_absy":{
"count": 7113068,
"mean":[-0.0002, -0.0316, 0.0070],
"std":[0.0065, 0.1351, 0.0139],
},
"alignhead_absgy":{
"count": 7113068,
"mean":[[-2.0822e-04, 1.2627e+00, 6.9816e-03]],
"std":[0.0065, 0.1516, 0.0139],
}
}
pred_cam = {
"bedlam": {
"count": 5096332,
"mean": [1.0606, -0.0027, 0.2702],
"std": [0.1784, 0.0956, 0.0764],
}
}
vitfeat = {
"bedlam": {
"count": 5546332,
"mean": [-1.3772, 0.2490, 0.0602, -0.1834, 0.2458, 0.5372, 0.3343, -0.3476, -0.1017, -0.0362, -0.0678, 0.2150, -0.2534, 0.1029, 0.8199, -0.4676, 0.6259, -0.3350, 0.0549, -0.4469, 0.2751, -0.1763, 0.1114, -0.2115, -0.0264, 0.5294, 0.8212, -0.4562, 0.4147, -0.0256, -0.1019, 0.2798, 0.9284, 0.4652, 0.6365, 0.6785, -0.0765, 0.0337, -0.2566, -0.0335, -0.1799, 0.7426, 0.2810, -0.7121, -0.0893, 0.1608, -0.2483, 1.5094, -1.4395, -0.3682, -0.4157, -0.0032, -0.0376, -0.0043, 0.2092, 0.3038, -0.2077, -0.4868, -0.1534, 0.2668, 1.2773, 0.2838, -0.4863, -1.2300, 0.0581, -0.3041, 0.1518, 0.7955, -0.4293, 1.4666, 0.3077, 0.3918, 0.1418, 0.1590, 0.8671, -0.3527, 0.5629, 0.1414, 0.0964, -0.1094, -0.0211, -0.0937, 0.1606, -0.7900, 0.0397, 0.0570, 0.7083, -0.5732, 0.1430, -0.2571, 0.5275, 0.6603, 0.3265, 0.4574, -0.3361, -0.1267, 0.3841, 0.1758, -0.6207, -0.3673, 0.8914, 0.4297, -0.8118, 0.2229, -0.2876, 0.2460, 0.4856, -0.1446, -0.2416, 0.1229, 0.2865, 0.7023, -0.2883, 0.3940, -1.5496, 0.4456, 0.6445, 0.2058, -0.4265, 0.3724, 0.1557, -1.4208, -0.1246, 0.1237, -0.3965, 0.0105, -0.0780, 0.6448, -0.1132, 0.8500, -0.2828, 0.4447, 0.6257, -0.2664, -0.8384, -1.8091, -0.2769, 0.1866, 0.6051, -0.2548, 0.9823, -0.2985, -0.2773, -0.4383, 0.1886, 0.2411, 0.2546, 0.2195, -0.0041, 0.1038, -0.6804, 1.2364, 0.5393, 0.0351, 0.4537, -0.8044, -0.1993, -2.1097, -0.8458, 0.1497, 1.6042, 0.6458, -0.5455, 0.0778, 0.0504, -0.5242, -0.3215, -0.0199, 1.1461, -0.3355, -0.3421, -0.3951, 0.0184, -0.0261, 0.2048, 0.0080, 0.6553, -1.3221, 0.5140, 0.5958, -0.2523, 0.9434, -0.0727, 0.1978, 1.1105, -0.4992, 0.3990, 0.2074, 0.3843, -0.0444, 0.0624, -0.8442, -0.0724, -0.5328, 1.1723, 0.8043, 0.6674, 1.5283, 4.2502, 0.0935, 0.3733, 0.1569, 0.0154, 0.0674, 0.0862, -0.2744, -0.4537, 0.1588, -1.9156, 0.0149, -1.0498, -0.0790, 0.0851, -0.5007, 0.3323, -0.1065, 0.0782, 0.0725, -0.5921, -0.1876, 0.0094, -0.3631, 0.0951, 0.1318, 0.0936, 0.5668, -0.0875, -0.4576, -0.4306, 0.5458, 1.0761, 1.1740, -0.0337, 1.3718, -0.2913, -0.3433, 0.5338, -0.4577, -0.4966, 0.2704, 0.3236, 0.4053, 0.0360, 1.1616, -0.2012, 0.7373, 0.0779, -0.0280, -0.4426, 0.0450, 0.2923, 0.0161, -0.4788, 0.1924, -0.3012, 0.0298, -0.7776, -0.2215, 0.4494, -0.1677, 0.2214, 0.0762, -0.3088, 0.4230, 0.0673, -1.0233, 0.0748, -0.4358, -0.2497, -0.0066, 0.1679, -0.1077, -0.4290, 2.5254, -0.8819, -0.8073, 0.2535, 2.0680, -0.4715, 0.3614, -2.9281, 3.1536, 0.3118, -0.0239, 0.7064, -0.6935, -1.1070, -0.1715, -0.0920, -0.2133, -1.0173, 0.0084, -0.1721, 0.2605, -0.6607, -0.0788, -0.3479, -0.2187, 1.0605, 0.2857, 0.7464, 0.9612, -1.1332, 1.5708, -1.0264, 0.6070, 0.4103, -0.1950, -0.0629, -0.0958, -0.2199, -0.2198, -0.4019, 0.2478, -0.3576, 0.0191, -5.8435, 0.0145, -0.2312, 0.9872, 1.1159, 0.3775, 0.1960, -0.5968, -0.2611, -0.0634, -0.1003, 0.7411, -0.8298, -0.1743, 1.8418, 0.3692, -0.4321, 0.0613, -1.9046, 0.5812, 0.2805, 0.1703, -0.2212, -0.0740, -0.2737, -0.3084, 2.9787, -0.1392, 0.3347, 0.0866, -0.8654, -0.4564, -0.7839, 0.1033, -0.0204, 0.1558, -0.1469, 0.2850, -0.1139, 0.8253, 0.7352, -0.6132, 0.0566, 0.3087, -0.1189, 0.1640, 0.2511, 0.5230, -0.0972, -0.5621, -2.5404, 0.3529, -0.2543, -0.6757, 0.2045, -0.0511, -0.2204, 0.1023, 0.0143, 0.4191, -0.3946, -1.0912, 0.8555, 1.0751, -0.0184, -0.3162, 0.1910, 0.6522, -0.5801, 0.2091, -0.8254, -0.3425, 0.3368, -0.0384, -0.4570, 2.5288, -0.3513, -0.1630, 0.1096, -0.5936, 1.5303, -0.4135, -0.2418, -0.0564, -2.6344, -0.1054, 0.8866, -0.2946, -0.4564, -0.6220, 0.2672, -0.9012, 0.3535, 0.2344, -0.0718, 0.0782, 0.0133, 0.2032, -1.2768, 0.1271, -0.5114, -0.0584, -0.8219, -0.1069, 1.5577, -0.1432, -0.6794, 0.9101, 0.6390, 0.3547, -0.6126, -0.1885, 0.2462, -1.1864, 0.0653, -0.7940, 0.5204, 0.5372, 0.5353, -0.4268, -0.2003, -0.2496, -0.0405, 0.3615, -0.1635, 0.1908, -0.0467, 0.7167, 0.1465, 0.4621, 0.1190, -1.6899, 0.6512, 1.3150, -0.1273, 0.0507, 0.2058, -0.1855, 0.1316, 0.1280, 0.5049, 0.0262, -0.0329, 2.0327, -0.6410, 0.4536, 0.0609, 0.1883, -0.5454, -0.5247, 0.1856, 0.7238, 1.4886, 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0.5742, 0.7461, 0.5443, 0.4749, 0.4906, 1.0020, 0.6306, 0.4435, 0.4559, 0.4360, 0.4047, 0.5802, 0.6109, 0.7836, 0.5163, 0.9777, 0.9272, 0.4618, 0.3534, 0.5218, 0.4479, 0.6498, 0.7145, 0.6224, 0.5671, 0.5042, 0.3885, 0.4079, 0.4481, 0.5406, 0.6944, 0.3744, 0.5942, 0.6770, 0.5934, 0.7417, 0.5662, 0.4753, 0.5063, 0.5003, 0.4510, 0.4358, 0.6455, 0.7740, 0.4780, 0.8687, 0.5533, 0.5700, 0.3518, 0.4868, 0.4154, 0.4798, 0.3266, 0.3536, 0.3789, 0.3805, 0.7909, 0.5760, 0.5784, 0.4993, 0.5787, 0.5324, 0.4496, 0.8483, 1.0794, 0.4820, 0.4135, 0.6231, 0.4668, 0.6684, 0.7052, 0.7616, 0.4881, 0.4150, 0.5793, 0.8068, 0.7793, 0.4721, 0.5230, 0.4810, 0.9577, 0.5537, 0.5583, 0.6645, 0.4334, 0.6398, 0.5011, 0.4081, 0.6255, 0.5372, 0.4846, 0.6125, 0.6509, 0.4413, 0.4762, 0.4917, 0.5940, 0.4950, 0.6753, 0.6653, 0.5210, 0.5599, 0.4678, 0.4868, 0.5985, 0.4160, 0.4874, 0.8380, 0.5382, 0.5701, 0.5448, 0.6131, 0.5674, 0.7120, 0.4070, 0.4434, 0.5725, 0.4919, 0.4805, 0.5997, 0.7108, 0.9824, 0.4765, 0.7575, 0.4452, 0.8892, 0.4639, 0.4962, 1.0346, 0.7584, 0.4312, 0.4835, 0.8968, 0.4799, 0.6864, 0.5641, 1.0694, 0.6750, 0.4288, 0.5159, 0.3649, 0.7699, 0.4386, 0.4449, 0.3923, 0.6499, 0.5612, 0.4541, 0.6261, 0.5444, 0.4369, 0.4124, 0.4174, 0.6129, 0.5005, 0.4779, 0.3929, 0.4865, 0.4338, 0.4114, 0.6266, 0.3669, 1.0147, 0.4856, 0.4867, 0.6250, 0.5368, 0.6699, 0.6411, 0.5296, 0.7614, 0.5643, 0.5843, 0.6846, 0.3923, 0.3928, 0.4964, 0.4490, 0.4755, 0.4104, 0.5468, 0.6040, 0.5808, 0.6283, 0.4316, 0.6127, 0.4635, 0.5303, 0.4261, 0.4668, 0.6121, 0.4063, 0.5571, 0.6130, 0.5874, 0.4987, 0.4113, 0.5401, 0.4028, 0.6598, 0.7740, 0.5384, 0.7890, 0.9379, 0.8801, 0.6222, 0.5356, 0.3990, 0.4802, 0.4107, 0.5475, 0.6936, 0.6865, 0.4776, 0.5211, 0.8844, 0.6517, 1.0729, 0.9252, 0.6953, 0.4177, 0.7587, 0.6628, 0.3629, 0.3685, 0.3758, 0.4439, 0.5236, 0.4905, 0.5290, 0.4184, 0.3940, 0.6498, 0.5411, 0.5662, 0.5519, 0.6107, 0.6385, 0.4127, 0.6277, 0.5255, 0.5926, 0.5653, 0.6570, 0.6034, 0.5312, 0.4128, 0.7292, 0.3620, 0.5067, 0.5314, 0.3908, 0.7561, 0.4494, 0.4501, 0.7682, 0.4939, 0.4198, 0.5256, 0.6339, 0.5123, 0.9018, 0.5054, 0.4879, 0.4567, 0.4145, 0.6046, 0.3835, 0.4289, 0.5254, 0.6191, 0.6610, 0.5933, 0.7890, 0.7817, 0.6299, 0.5977, 0.7094, 0.3737, 1.0318, 0.7045, 0.7785, 0.5376, 0.5861, 0.4233, 0.5538, 1.0604, 0.5690, 0.5249, 0.3747, 0.6036, 0.4707, 0.3617, 0.3665, 0.6184, 0.4878, 0.6193, 0.5311, 0.6187, 0.6748, 0.4493, 0.6137, 0.4601, 0.3855, 0.4183, 0.4986, 0.4832, 0.4192, 0.4416, 0.7202, 0.3724, 0.4899, 0.6939, 0.4272, 0.7122, 0.6950, 0.5565, 0.4417, 0.6186, 0.4753, 0.5919, 0.3763, 0.5643, 0.5347, 0.5454, 0.9336, 0.6594, 0.9747, 0.4970, 0.4725, 0.7820, 0.4113, 0.4942, 0.6699, 0.4159, 0.6766, 0.6564, 0.3947, 0.5381, 0.3874, 0.6686, 0.5628, 0.3904, 0.6647, 0.9821, 0.4343, 0.5455, 0.4879, 0.8165, 0.4153, 0.5544, 0.5179, 0.3821, 0.6678, 0.7883, 0.3372, 0.4702, 0.5044, 0.4584, 0.4769, 0.3787, 0.4377, 0.5435, 0.5899, 0.5378, 0.5986, 0.4887, 0.5390, 0.5464, 0.6330, 0.5010, 0.4244, 0.5249, 0.6770, 0.6314, 0.6404, 0.4605, 0.3649, 0.6489, 1.0657, 0.5497, 0.5357, 0.3651, 0.8484, 0.8126, 0.4873, 0.6711, 0.4401, 0.6181, 0.8585, 0.6000, 0.5654, 0.5416, 0.3504, 0.4671, 0.5499, 0.4409, 0.7650, 0.4980, 0.9734, 0.3568, 0.6037, 0.4361, 0.7880, 0.4726, 0.9902, 0.5020, 0.5178, 0.5065, 0.4543, 0.9039, 0.8296, 0.4451, 0.4436, 0.8518, 0.5201, 0.8668, 0.5122, 0.3412, 0.5849, 0.4815, 0.5795, 0.5664, 0.4384, 0.4593, 0.7974, 0.6570, 0.6522, 0.5490, 0.4195, 0.6821, 0.6133, 0.5692, 0.4780, 0.4574, 0.5090, 0.4488, 0.4269, 0.4153, 0.5143, 0.6560, 0.4480, 0.5482, 0.6997, 0.4377, 0.4166, 0.6103, 0.4671, 0.4449, 0.5672, 0.3296, 0.3898, 0.3778, 0.6572, 0.5555, 0.4047, 0.3720, 0.5728, 0.6867, 0.5435, 0.5001, 0.6808, 0.6373, 0.6849, 0.4826, 0.4767, 0.3736, 0.5070, 0.4442, 0.4302, 0.4339, 0.4614, 0.4735, 0.7977, 0.5657, 0.4047, 0.5261, 0.6204, 0.3413, 0.3996, 0.4236, 0.3303, 0.4193, 0.6074, 0.3941, 0.4802, 0.4114, 0.3880, 0.3460, 0.3767, 0.6491, 0.6893, 0.8560, 0.4244, 0.4307, 0.5702, 0.3635, 0.5170, 0.3975, 0.6187, 0.5012, 0.4976, 0.7149, 0.7001, 0.4834, 0.3844, 0.5179, 0.6909, 0.5862, 1.0062, 0.5099, 0.6410, 0.7432, 0.4219, 0.4655, 0.6067, 0.6674, 0.4618, 0.7115, 0.5300, 0.5284, 0.4208, 0.4955, 0.4561, 0.3723],
}
}
cam_angvel = {
"emdb_none_test": {
"count": 42622,
"mean": [1., 0., 0., 0., 1., 0.],
"std": [5.5702e-05, 3.2200e-03, 5.6530e-03, 3.2191e-03, 2.4738e-05, 3.3406e-03],
},
"manual": {
"mean": [1., 0., 0., 0., 1., 0.],
"std": [0.001, 0.1, 0.1, 0.1, 0.001, 0.1], # manually
}
}
cam_tvel = {
'manual': {
'mean': [-1.7233e-05, 6.1458e-06, 7.7848e-04],
'std': [0.0139, 0.0111, 0.0146]
}
}
# fmt:on
# ====== Compose ====== #
def compose(targets, sources):
if len(sources) == 1:
sources = sources * len(targets)
mean = []
std = []
for t, s in zip(targets, sources):
mean.extend(t[s]["mean"])
std.extend(t[s]["std"])
return {"mean": mean, "std": std}
DEFAULT_01 = {"mean": [0.0], "std": [1.0]}
MM_V1 = compose(
[body_pose_r6d, betas, global_orient_c_r6d, global_orient_gv_r6d, local_transl_vel],
["bedlam"] * 5,
)
MM_V1_AMASS_LOCAL_BEDLAM_CAM = compose(
[body_pose_r6d, betas, global_orient_c_r6d, global_orient_gv_r6d, local_transl_vel],
["amass", "amass", "bedlam", "bedlam", "amass"],
)
MM_V2 = compose(
[body_pose_r6d, betas, global_orient_c_r6d, global_orient_gv_r6d, local_transl_vel],
["bedlam", "bedlam", "bedlam", "bedlam", "none"],
)
MM_V2_1 = compose(
[body_pose_r6d, betas, global_orient_c_r6d, global_orient_gv_r6d, local_transl_vel],
["bedlam", "bedlam", "bedlam", "bedlam", "1e-2"],
)
HUMANML3D_V1 = {
"mean": [
0.9821,
-0.0786,
0.0149,
0.0839,
0.9101,
0.1669,
0.9821,
0.0789,
-0.0153,
-0.084,
0.9106,
0.1661,
0.9938,
0.0001,
0.0002,
-0.0,
0.9312,
-0.2309,
0.979,
0.0637,
-0.0519,
-0.0555,
0.8071,
-0.3257,
0.979,
-0.0635,
0.0519,
0.0554,
0.8073,
-0.3252,
0.995,
0.0,
-0.0001,
-0.0,
0.9882,
-0.0333,
0.9783,
0.013,
0.1243,
-0.0376,
0.9587,
0.1688,
0.9783,
-0.013,
-0.1246,
0.0378,
0.9587,
0.169,
0.9978,
-0.0,
0.0,
0.0,
0.9959,
0.0069,
0.9956,
-0.0145,
0.0064,
0.0129,
0.9949,
0.0126,
0.9956,
0.0145,
-0.0065,
-0.0129,
0.9949,
0.0126,
0.9791,
-0.0001,
-0.0003,
0.0001,
0.9747,
-0.0,
0.8793,
0.3254,
-0.1433,
-0.3195,
0.9095,
0.0186,
0.8793,
-0.3254,
0.1434,
0.3195,
0.9095,
0.0188,
0.98,
-0.0001,
-0.0002,
0.0002,
0.9679,
-0.0583,
0.6338,
0.6403,
-0.2582,
-0.6392,
0.6684,
0.0207,
0.6335,
-0.6405,
0.2584,
0.6396,
0.6683,
0.0207,
0.5877,
-0.2228,
-0.5617,
0.1476,
0.9108,
-0.1817,
0.5875,
0.2228,
0.5614,
-0.1477,
0.9108,
-0.1821,
0.9151,
-0.0893,
-0.1287,
0.1066,
0.875,
0.0094,
0.9151,
0.0891,
0.1288,
-0.1064,
0.8751,
0.0089,
0.1178,
0.0762,
0.4235,
0.0272,
0.1815,
-0.1596,
0.5019,
-0.2575,
-0.1448,
-0.5843,
0.0037,
-0.0003,
0.002,
0.014,
-0.8609,
-0.0242,
0.0035,
0.0006,
0.0018,
0.0148,
-0.9519,
-0.0229,
-0.0005,
-0.0001,
0.0031,
],
"std": [
0.0332,
0.1283,
0.1068,
0.1185,
0.1682,
0.3075,
0.0333,
0.1285,
0.1067,
0.1184,
0.1671,
0.307,
0.0099,
0.0761,
0.0799,
0.0693,
0.1329,
0.239,
0.0314,
0.0963,
0.1566,
0.0793,
0.3462,
0.3367,
0.0315,
0.0962,
0.1567,
0.0793,
0.3462,
0.3366,
0.0087,
0.0664,
0.0746,
0.0634,
0.0184,
0.1343,
0.0229,
0.1183,
0.1133,
0.0988,
0.0529,
0.1959,
0.0229,
0.1181,
0.1132,
0.0986,
0.0529,
0.1959,
0.0038,
0.0401,
0.052,
0.0403,
0.0072,
0.081,
0.0192,
0.0719,
0.0548,
0.0739,
0.0225,
0.0626,
0.019,
0.0717,
0.0548,
0.0737,
0.0225,
0.0627,
0.0351,
0.1018,
0.1728,
0.1003,
0.0388,
0.1962,
0.0822,
0.2185,
0.2142,
0.2344,
0.0683,
0.1034,
0.0823,
0.2185,
0.2142,
0.2343,
0.0684,
0.1034,
0.0327,
0.1055,
0.1656,
0.1031,
0.0439,
0.2175,
0.1751,
0.2324,
0.1924,
0.2756,
0.1695,
0.1988,
0.175,
0.2322,
0.1926,
0.2751,
0.1693,
0.1987,
0.4453,
0.1619,
0.2547,
0.1981,
0.0969,
0.259,
0.4461,
0.1619,
0.2544,
0.198,
0.0968,
0.2587,
0.127,
0.3087,
0.1633,
0.2937,
0.1664,
0.3301,
0.1272,
0.3085,
0.1634,
0.2937,
0.1665,
0.3298,
0.9774,
0.8783,
1.0809,
1.5919,
0.9995,
1.411,
0.9037,
1.2517,
1.1637,
1.1538,
0.6892,
0.2422,
0.6829,
0.3238,
0.1922,
0.3409,
0.6977,
0.189,
0.691,
0.1656,
0.1507,
0.2075,
0.0107,
0.0082,
0.0137,
],
}
HUMANML3D_V2 = {
"mean": [
0.9821,
-0.0788,
0.015,
0.0839,
0.9104,
0.1665,
0.9822,
0.0786,
-0.0151,
-0.0839,
0.9105,
0.1663,
0.9939,
0.0001,
0.0,
-0.0001,
0.9315,
-0.2305,
0.979,
0.0635,
-0.0518,
-0.0555,
0.8076,
-0.3258,
0.9791,
-0.0636,
0.0519,
0.0556,
0.8076,
-0.3259,
0.995,
-0.0001,
0.0,
0.0,
0.9882,
-0.0333,
0.9783,
0.0129,
0.1246,
-0.0376,
0.9587,
0.1688,
0.9783,
-0.0129,
-0.1245,
0.0376,
0.9588,
0.1691,
0.9978,
-0.0,
-0.0001,
0.0001,
0.9959,
0.0069,
0.9956,
-0.0145,
0.0064,
0.0129,
0.9949,
0.0125,
0.9956,
0.0145,
-0.0064,
-0.0129,
0.9949,
0.0125,
0.979,
0.0,
0.0003,
-0.0001,
0.9745,
-0.0001,
0.8793,
0.3254,
-0.1431,
-0.3196,
0.9096,
0.0183,
0.8793,
-0.3257,
0.1431,
0.3199,
0.9095,
0.0184,
0.9799,
0.0002,
-0.0002,
-0.0003,
0.9679,
-0.0584,
0.6333,
0.6406,
-0.2583,
-0.6396,
0.668,
0.0205,
0.6333,
-0.6411,
0.2583,
0.6401,
0.668,
0.0203,
0.5877,
-0.2229,
-0.5616,
0.1472,
0.9108,
-0.1822,
0.5881,
0.2228,
0.5614,
-0.1476,
0.911,
-0.182,
0.9152,
-0.0884,
-0.1288,
0.1058,
0.8751,
0.0091,
0.9154,
0.0885,
0.1288,
-0.106,
0.8752,
0.0094,
0.1175,
0.0753,
0.4229,
0.0269,
0.1809,
-0.1599,
0.5026,
-0.2562,
-0.1444,
-0.5831,
-0.0,
-0.0,
0.0064,
0.8612,
-0.036,
0.0,
-0.0,
],
"std": [
0.0334,
0.1284,
0.1068,
0.1184,
0.1674,
0.3071,
0.0331,
0.128,
0.1066,
0.1182,
0.1673,
0.3071,
0.0098,
0.076,
0.0799,
0.0691,
0.1322,
0.2384,
0.0313,
0.0961,
0.1566,
0.0793,
0.3449,
0.3368,
0.0313,
0.0961,
0.1565,
0.0792,
0.3447,
0.3366,
0.0087,
0.0664,
0.0746,
0.0634,
0.0185,
0.1343,
0.0229,
0.1183,
0.1131,
0.0987,
0.0528,
0.196,
0.0229,
0.1182,
0.1131,
0.0986,
0.0526,
0.1956,
0.0038,
0.0401,
0.052,
0.0404,
0.0072,
0.0809,
0.0191,
0.0719,
0.0547,
0.0739,
0.0223,
0.0624,
0.0191,
0.072,
0.0547,
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