(args, pose_, pose, device)
| 85 | return loss |
| 86 | |
| 87 | def PoseLoss(args, pose_, pose, device): |
| 88 | loss_func = nn.MSELoss() |
| 89 | predict_pose = pose_.reshape(args.batch_size, 12).to(device) # maynot need reshape |
| 90 | pose_loss = loss_func(predict_pose, pose) |
| 91 | return pose_loss |
| 92 | |
| 93 | def load_exisiting_model(args, isFeatureNet=False): |
| 94 | ''' Load a pretrained DFNet model ''' |
no outgoing calls
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