Closed olegchomp closed 1 year ago
hi, I have the same error, have you already solved this problem? thx
Hi, I'm also getting the same issue. @olegchomp I would appreciate your input, if you fixed this. Thanks!
In case anyone stumbles to this issue: It's coming from SmplObject.py where the input path is passed to PathFilter.filter() [AIST comment at line 45], this function is specifically for AIST dataset. If you are using the given sample.pkl or your own custom data, comment the filter API call and read your pkl directly.
In case anyone stumbles to this issue: It's coming from SmplObject.py where the input path is passed to PathFilter.filter() [AIST comment at line 45], this function is specifically for AIST dataset. If you are using the given sample.pkl or your own custom data, comment the filter API call and read your pkl directly.
how to do?
i've tried in anaconda with python 3.7.16:
python Convert.py --input_pkl_base H:\condawsl\SMPL-to-FBX-main\Pkls\sample.pkl --fbx_source_path H:\condawsl\SMPL-to-FBX-main\fbx\SMPL_m_unityDoubleBlends_lbs_10_scale5_207_v1.0.0.fbx --output_base H:\condawsl\SMPL-to-FBX-main\out
and get
['gBR', 'gPO', 'gLO', 'gMH', 'gLH', 'gHO', 'gWA', 'gKR', 'gJS', 'gJB'] ['sBM', 'sFM'] ['0', '1', '2', '3', '4', '5'] 0it [00:00, ?it/s]
but out folder is empty
did you solve the problem?
In case anyone stumbles to this issue: It's coming from SmplObject.py where the input path is passed to PathFilter.filter() [AIST comment at line 45], this function is specifically for AIST dataset. If you are using the given sample.pkl or your own custom data, comment the filter API call and read your pkl directly.
how to do?
For my usecase, I wanted to read the pickle file directly for custom data. So I commented the AIST logic in SmplObject.py line 45 (as shown below) and directly read my files instead: `
def init(self, read_path): self.files = {}
# For AIST naming convention
#paths = PathFilter.filter(read_path, dance_genres=["gBR"], dance_types=["sBM"], music_IDs=["0"])
#paths = PathFilter.filter(read_path, dance_genres=None, dance_types=None, music_IDs=None)
#for path in paths:
for path in [read_path]:
filename = path.split("/")[-1]
with open(path, "rb") as fp:
data = pickle.load(fp)
self.files[filename] = {"smpl_poses":data["smpl_poses"],
"smpl_trans":data["smpl_trans"]}
self.keys = [key for key in self.files.keys()]
`
i've tried in anaconda with python 3.7.16:
python Convert.py --input_pkl_base H:\condawsl\SMPL-to-FBX-main\Pkls\sample.pkl --fbx_source_path H:\condawsl\SMPL-to-FBX-main\fbx\SMPL_m_unityDoubleBlends_lbs_10_scale5_207_v1.0.0.fbx --output_base H:\condawsl\SMPL-to-FBX-main\out
and get
['gBR', 'gPO', 'gLO', 'gMH', 'gLH', 'gHO', 'gWA', 'gKR', 'gJS', 'gJB'] ['sBM', 'sFM'] ['0', '1', '2', '3', '4', '5'] 0it [00:00, ?it/s]
but out folder is empty