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Sleeping
| # coding: utf-8 | |
| import torch | |
| from helpers import getSkeletalModelStructure | |
| def ID(trg): | |
| trg_reshaped = trg.view(trg.shape[0], trg.shape[1], 50, 3) | |
| trg_list = trg_reshaped.split(1, dim=2) | |
| trg_list_squeeze = [t.squeeze(dim=2) for t in trg_list] | |
| skeletons = getSkeletalModelStructure() | |
| trg_reshaped_list = [] | |
| for skeleton in skeletons: | |
| Skeleton_length = torch.norm(trg_list_squeeze[skeleton[0]]-trg_list_squeeze[skeleton[1]], p=2, dim=2, keepdim=True) | |
| Skeleton_direct = (trg_list_squeeze[skeleton[0]]-trg_list_squeeze[skeleton[1]]) / (Skeleton_length+torch.finfo(Skeleton_length.dtype).tiny) | |
| trg_reshaped_list.append(torch.cat((trg_list_squeeze[skeleton[1]], Skeleton_length, Skeleton_direct), dim=2)) | |
| trg_super = torch.stack(trg_reshaped_list, dim=-1).reshape(trg.shape[0],trg.shape[1],50*7) | |
| return trg_super |