papagina / auto_conditioned_rnn_motion Goto Github PK

Thank you for your great work.

If I would like to use arbitrary bvh dataset, what should I do?

I already tried to convert not only CMU but also another bvh dataset, but When I converted another bvh dataset, it seems can not parse correctly.

When I visualize it, it seems strange moving. It's not only predicted result but also ground truth.

I think the network consists three fc layers in paper while in your code, there is only one fc layer but 3 LSTM layers.

Is the skeleton (standard.bvh) that is used to generate euclidean points based on a subject in the CMU dataset?

Hello, I have been training the model in different data and when is time to write the bvh animation I get the following error from

rotation2xyz.py script:

"-->assert np.allclose(np.linalg.norm(children_xyz[i, :]), np.linalg.norm(children_orig[i, :]))
Assertion Error"

since there is no comment explaining this code I am having a really hard time figuring out how to solve it. I am using a small animation of shape:

[5,60,171]

@papagina Hello, I am very interested in your work. But I have a question here when reading your code. Could you kindly explain how the augment_train_data function works below?

def get_train_data(bvh_filename):
    
    data=parse_frames(bvh_filename)
    train_data=get_training_format_data(data, non_end_bones,skeleton)
    center=get_motion_center(train_data) #get the avg position of the hip
    center[1]=0.0 #don't center the height

    new_train_data=augment_train_data(train_data, -center, [0,1,0, 0.0])
    return new_train_data

Hi

When I convert and restore BVH file, the area around End Site of restored motion is different.
Restored motion tremble.

The code is following:

from read_bvh import get_train_data, write_traindata_to_bvh

xyz_data = get_train_data("../train_data_bvh/indian/05.bvh")
write_traindata_to_bvh("restored_05.bvh", xyz_data)

How to solve this problem?

sorry maybe this is just my misundersood.
please delete this issue.

Hi
Where can I find the code to regenerate the prediction results of your paper?

Nice work!
I have a question~

The joint points in the data generated by training model are rotated. The joint of the original BVH data is not rotated, but when the original BVH data is converted to NPY and after the training is transferred out of the BVH, the joints begin to rotate. How to avoid this problem?
thank you！

I am very interested in your work, thank you very much for your work.

I have a problem. When I train the model, whether it is the result of the test or the tmp result in the training process will be like this picture in the first frame. How to avoid this problem, how to solve it?

Hi,

the fix_feet.py doesnt seem to run of the shelf, has unitialized and unused variables.

can you provide comments for the code. its hard to understand.

Thanks,

Hi I got an error when I run the file pytorch_train_aclstm.py

<ipython-input-13-4f37744e12e2> in train_one_iteraton(real_seq_np, model, optimizer, iteration, save_dance_folder, print_loss, save_bvh_motion)
    140     if(print_loss==True):
    141         print ("###########"+"iter %07d"%iteration +"######################")
--> 142         print ("loss: "+str(loss.data.tolist()[0]))
    143 
    144 

TypeError: 'float' object is not subscriptable