Comments (4)
pytorch1.5 and python3.7 should be fine. My guess is that the problem is due to invalid path.
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pytorch1.5 and python3.7 should be fine. My guess is that the problem is due to invalid path.
base) [liu@no3@node05 StyleGestures]$ python train_moglow.py 'hparams/locomotion.json' locomotion
File "train_moglow.py", line 49
trainer = Trainer(**built, data=data, log_dir=log_dir, hparams=hparams)
^
SyntaxError: invalid syntax
I run the program On your advice,but show same wrong,Do you have the same problem
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Double check that you are in the right conda environment. It looks you are running in the base env, and if you installed with the ‘environment.yml’ file, the env should be named ‘moglow’.
from stylegestures.
Double check that you are in the right conda environment. It looks you are running in the base env, and if you installed with the ‘environment.yml’ file, the env should be named ‘moglow’.
think you ,I install the environment again,the quesion is solved.
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Related Issues (20)
- bvh files with fixed frames
- Difference between time_steps and seqlen? HOT 2
- Possible bug when computing the log-det of Jacobian for affine coupling HOT 2
- About datasets HOT 1
- For the freshmen about Gesture Generation HOT 2
- Questions about the latent random variable Z HOT 2
- The Python version
- About the Cuda version HOT 4
- About the swapaxes for self.x and self.cond HOT 6
- This dataset link doesn't seem to work. HOT 2
- The dataset are inconsistent HOT 10
- Excuse me, where can I find the dataset used by Example3 in readme? HOT 11
- This is the curve when I use two different data sets for training, and the parameters are the same. It can be roughly seen that the loss in Figure 1 will be lower than that in Figure 2, which can indicate that the performance of the first trained model will be better? HOT 6
- How to apply the output file(*.bvh) to 3D model file(*.3ds) HOT 3
- Some questions about the style control HOT 2
- Some questions about the style control HOT 1
- About the dataset HOT 2
- The trained model posture shakes badly. What might be the cause? Is there any way to solve this problem? HOT 2
- Pre-trained models
- What's the output of this framework?
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