Comments (8)
Our architecture requires a consistent topology between training character and test character. Thus, if you want to test with a new topology you will need to retrain the model with your own dataset.
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Hi, I convert example.bvh file to csv file, and I found the number of joint was 31:
Hips Lhipjoint leftupleg leftleg leftfoot lefttoebase rhipjoint rightupleg rightleg rightfoot righttoebase lowerback spine spine1 neck neck1 head leftshoulder leftarm leftforearm lefthand leftfingerbase lefthandindex1 lthumb rightshoulder rightarm rightforearm righthand rightfingerbase righthandindex1 rthumb
As I understand, the number of joints was 23. What difference between those?
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Traceback (most recent call last):
File "eval_single_pair.py", line 104, in
main()
File "eval_single_pair.py", line 92, in main
new_motion = (new_motion - dataset.mean[i][j]) / dataset.var[i][j]
RuntimeError: The size of tensor a (99) must match the size of tensor b (91) at non-singleton dimension 1
Traceback (most recent call last):
File "demo.py", line 46, in
example('Aj', 'BigVegas', '01.bvh', 'intra', './examples/intra_structure')
File "demo.py", line 42, in example
height)
File "/home/wuxiaoliang/docker/newAPP/deep-motion-editing/retargeting/models/IK.py", line 57, in fix_foot_contact
anim, name, ftime = BVH.load(input_file)
File "../utils/BVH.py", line 58, in load
f = open(filename, "r")
FileNotFoundError: [Errno 2] No such file or directory: './examples/intra_structure/result.bvh'Hello, how can I solve this problem?@ @kfiraberman
create the directories "./examples/intra_structure/" by yourself before you run the program.
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I've created the directory your way, but the same error still occurs @crissallan
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RuntimeError: The size of tensor a (99) must match the size of tensor b (91) at non-singleton dimension 1,
This is the first exception
from deep-motion-editing.
RuntimeError: The size of tensor a (99) must match the size of tensor b (91) at non-singleton dimension 1,
This is the first exception
Ah~ Since the tensor's shape doesn't match, I think you should check whether "01.bvh" is the mocap data of “Aj” or "BigVegas".
Because the shape of the motion tensor depends on the number of joints of the character. e.g. 91 = (23-1) * 4 + 3 because "Aj" and "BigVegas" both has 23 joints as its simplified skeleton.
So if tensor a's shape is 99, I would reckon that this bvh file might belongs to a character which has 25 joints, since 99 = (25-1)*4 +3
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OK, thank you very much for your reply,
"Our approach is also quantitatively evaluated on a synthetic dataset that contains pairs of motions applied to different skeletons. To the best of our knowledge, our method is the first to perform retargeting between skeletons with differently sampled kinematic chains, without any paired examples. " , it is from "Skeleton-Aware Networks for Deep Motion Retargeting",
Is it required that the number of key points must be consistent?
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thank you very much for your reply @PeizhuoLi
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Related Issues (20)
- How the the skining work? HOT 1
- 处理过手指的重定向吗? HOT 3
- Retargeting retraining on customized dataset HOT 3
- 非标准躯干数据集的可能性 HOT 8
- Use a new dataset in style transfer HOT 1
- 使用额外bvh文件进行retargeting HOT 6
- style transfer任务的pretrained模型和提供config不符
- BVH_mod HOT 1
- Error in forward kinematics HOT 2
- 请问作者有没有尝试过面向3d坐标的异构重定向?
- Error: No module named 'option_parser'
- Error: No module named 'datasets'
- Error: No such file or directory: './datasets/Mixamo/Malcolm_m.npy'
- 使用新骨架进行重定向后,出现模型维度不匹配的问题 HOT 1
- 您好,我现在面临在经过Preprocessing处理之后,在训练的时候数据打开verbose选项,看到数据都是Nan,请问这可能是什么原因造成的呢 HOT 1
- the src.bvh and dst.bvh must be the same Skeletal hierarchy ?
- retarget a bvh file to use it in style transfer HOT 1
- What is the equivalent for batch overfitting for such a training scheme?
- 关于其它bvh文件retargeting的几个问题?
- full body BVH with fingers
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