zhiqiangdon / pose-adv-aug Goto Github PK

scale gaussian number is 7
scale means: [ -6.00000000e-01 -4.00000000e-01 -2.00000000e-01 1.11022302e-16
2.00000000e-01 4.00000000e-01 6.00000000e-01]
loading json file is done...
invalid center: [-26.0, 356.0]
image name: images-mpii/097266879.jpg
dataset: MPII
invalid center: [1718.0, -157.0]
image name: images-mpii/012545809.jpg
dataset: MPII
Traceback (most recent call last):
File "/media/z/CC/zxl/2Dhuman pose estimation-CX/pose-adv-aug/collect-scale-ditri.py", line 305, in
main()
File "/media/z/CC/zxl/2Dhuman pose estimation-CX/pose-adv-aug/collect-scale-ditri.py", line 84, in main
train_distri_path_2, hg, opt, is_train=True)
File "/media/z/CC/zxl/2Dhuman pose estimation-CX/pose-adv-aug/collect-scale-ditri.py", line 115, in collect_train_valid_data
grnd_distri_list = read_grnd_distri_from_txt(save_path)
File "/media/z/CC/zxl/2Dhuman pose estimation-CX/pose-adv-aug/collect-scale-ditri.py", line 290, in read_grnd_distri_from_txt
if k<0.1:
File "/home/z/anaconda2/envs/xlpy030/lib/python2.7/site-packages/torch/tensor.py", line 152, in bool
" objects is ambiguous")
RuntimeError: bool value of non-empty torch.ByteTensor objects is ambiguous
total training images: 25925（错误处）

Process finished with exit code 1

Traceback (most recent call last):
File "/media/pose-adv-aug/collect-scale-ditri.py", line 632, in
main()
File "/media/pose-adv-aug/collect-scale-ditri.py", line 393, in main
train_distri_path_2, hg, opt, is_train=True)
File "/media/pose-adv-aug/collect-scale-ditri.py", line 428, in collect_train_valid_data
collect_data(collect_data_loader, dataset, hg, save_path)
File "/media/pose-adv-aug/collect-scale-ditri.py", line 537, in collect_data
grnd_pts, normalizer, rotation)
File "/media/pose-adv-aug/pylib/Evaluation.py", line 366, in per_person_pckh
dists = calc_dists(pred_pts, grnd_pts, normalizers, use_zero=True)
File "/media/pose-adv-aug/pylib/Evaluation.py", line 291, in calc_dists
dists[c, n] = torch.dist(preds[n, c, :], target[n, c, :]) / normalize[n]
ZeroDivisionError: float division by zero

你好，我的baseline是openpose，我想使用您的方法来进行对coco的自动的数据增强，请问您这个代码好移植吗？

Hi @zhiqiangdon
Thank your for sharing your nice work.
I want to cite your work and need some details.

In your paper
"Jointly Optimize Data Augmentation and Network Training: Adversarial Data Augmentation in Human Pose Estimation",
Is the table 3's result trained using the MPII+LSP dataset or Only LSP dataset?

Hello!

Thanks for sharing this great work! I would like to implement it in my research. But, I had faced an error after installing prerequisites.
Traceback (most recent call last): File "stack-hg.py", line 269, in <module> main() File "stack-hg.py", line 30, in main opt = TrainOptions().parse() File "$HOME/pose-adv-aug/options/base_options.py", line 62, in parse if self.opt.resume_prefix_pose != '': AttributeError: 'Namespace' object has no attribute 'resume_prefix_pose'
I think the error is internal, I guess. Can you shred some light on this issue? Thanks in advance..

Hi I was hoping if you could shed some light on were you got the json file? and if you are the one created it. Do you mind explaining a couple of things to me?

• how did you compute the scale for the Leeds dataset?
• What is the function/objective of the 'normalizer' field in the json file?

Thanks,