xingyizhou / pytorch-pose-hg-3d

PyTorch implementation for 3D human pose estimation

Geek Repo:Geek Repo

Github PK Tool:Github PK Tool

Question about dataset MPII

Ssrzbao opened this issue · comments

I have downloaded the MPII dataset, but what should I do to generate the .H5 file?
Here are the problems I encountered during training.
**
f = File('{}/mpii/annot/{}.h5'.format(ref.dataDir, split), 'r')
File "D:\anaconda\envs\Pytorch3\lib\site-packages\h5py_hl\files.py", line 312, in init
fid = make_fid(name, mode, userblock_size, fapl, swmr=swmr)
File "D:\anaconda\envs\Pytorch3\lib\site-packages\h5py_hl\files.py", line 142, in make_fid
fid = h5f.open(name, flags, fapl=fapl)
File "h5py_objects.pyx", line 54, in h5py._objects.with_phil.wrapper
File "h5py_objects.pyx", line 55, in h5py._objects.with_phil.wrapper
File "h5py\h5f.pyx", line 78, in h5py.h5f.open
**

Hi,
The h5 data is from the original torch Hourglass implementation from Newell et al., which looks like to be generated by this code.