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wei-mao-2019
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LearnTrajDep
code for learning trajectory dependencies for human motion prediction
MIT License
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plt.show()空白
#24
Tong-Hao741
opened
7 months ago
1
> After multiple calls to loss_func.mpjpe_error and loss_func.euler_error, GPU memory is fully occupied. This may be due to some variables not being released properly.
#23
Saltyptisan
closed
11 months ago
0
some memory issues
#22
Saltyptisan
opened
11 months ago
7
Problems of the evluation result in the paper LTD for 1000ms prediction
#21
LaLaLailalai
opened
2 years ago
0
Joints to ignore for Humans 3.6m dataset using the 3D coordinates
#20
keltouny
opened
2 years ago
0
An error when running "main_eval.py"
#19
YEEKIN
closed
2 years ago
0
I got a problem when I run demo.py
#18
helloful
opened
3 years ago
0
About human3.6m dataset
#17
qliu2020
opened
3 years ago
1
Error when running quick demo
#16
trydonot
opened
3 years ago
1
input and output size
#15
chaiban
closed
3 years ago
0
Code for convSeq2Seq 3D
#14
zaverichintan
opened
4 years ago
1
Hyperparameter values for different sequence lengths
#13
yjvyas
opened
4 years ago
1
Test loss evaluated on only 8 samples
#12
tileb1
closed
3 years ago
3
Re-training 3dPW model
#11
hassony2
closed
3 years ago
1
Ablation Study
#10
catherinezll95
closed
3 years ago
1
#training frames
#9
Yutasq
closed
3 years ago
2
About Visualization of 3D data
#8
DanLuoNEU
closed
4 years ago
1
Pretrained Model
#7
DanLuoNEU
closed
4 years ago
1
Forecasting long sequences
#6
jutanke
closed
3 years ago
1
About the test results
#5
Dingpx
closed
3 years ago
9
experiment hyper-parameters (commands) to reproduce your results on 3DPW dataset
#4
hangg7
closed
5 years ago
1
About the visualization
#3
Xianjin111
closed
5 years ago
2
one redundant line.
#2
tracer9
closed
5 years ago
1
Ablation Study Question
#1
dihuangcode
closed
5 years ago
10