After executing the sample program, the following error message appears,
Operating system: windows10
python : 3.10.14
(.venv) C:\_Dev\Repository\ScoreHMR>python eval/eval_keypoint_fitting.py --dataset 3DPW-TEST --shuffle --use_default_ckpt
WARNING: You are using a SMPL model, with only 10 shape coefficients.
WARNING: You are using a SMPL model, with only 10 shape coefficients.
0%| | 0/139 [00:00<?, ?it/s]
Traceback (most recent call last):
File "C:\_Dev\Repository\ScoreHMR\eval\eval_keypoint_fitting.py", line 88, in <module>
for ii, batch in enumerate(tqdm(dataloader)):
File "C:\_Dev\Repository\ScoreHMR\.venv\lib\site-packages\tqdm\std.py", line 1178, in __iter__
for obj in iterable:
File "C:\_Dev\Repository\ScoreHMR\.venv\lib\site-packages\torch\utils\data\dataloader.py", line 441, in __iter__
return self._get_iterator()
File "C:\_Dev\Repository\ScoreHMR\.venv\lib\site-packages\torch\utils\data\dataloader.py", line 388, in _get_iterator
return _MultiProcessingDataLoaderIter(self)
File "C:\_Dev\Repository\ScoreHMR\.venv\lib\site-packages\torch\utils\data\dataloader.py", line 1042, in __init__
w.start()
File "C:\_Dev\Repository\ScoreHMR\Python\Python-3.10.14\lib\multiprocessing\process.py", line 121, in start
self._popen = self._Popen(self)
File "C:\_Dev\Repository\ScoreHMR\Python\Python-3.10.14\lib\multiprocessing\context.py", line 224, in _Popen
return _default_context.get_context().Process._Popen(process_obj)
File "C:\_Dev\Repository\ScoreHMR\Python\Python-3.10.14\lib\multiprocessing\context.py", line 336, in _Popen
return Popen(process_obj)
File "C:\_Dev\Repository\ScoreHMR\Python\Python-3.10.14\lib\multiprocessing\popen_spawn_win32.py", line 93, in __init__
reduction.dump(process_obj, to_child)
File "C:\_Dev\Repository\ScoreHMR\Python\Python-3.10.14\lib\multiprocessing\reduction.py", line 60, in dump
ForkingPickler(file, protocol).dump(obj)
TypeError: cannot pickle '_io.BufferedReader' object
(.venv) C:\_Dev\Repository\ScoreHMR>WARNING: You are using a SMPL model, with only 10 shape coefficients.
WARNING: You are using a SMPL model, with only 10 shape coefficients.
0%| | 0/139 [00:00<?, ?it/s]
Traceback (most recent call last):
File "<string>", line 1, in <module>
File "C:\_Dev\Repository\ScoreHMR\Python\Python-3.10.14\lib\multiprocessing\spawn.py", line 116, in spawn_main
exitcode = _main(fd, parent_sentinel)
File "C:\_Dev\Repository\ScoreHMR\Python\Python-3.10.14\lib\multiprocessing\spawn.py", line 125, in _main
prepare(preparation_data)
File "C:\_Dev\Repository\ScoreHMR\Python\Python-3.10.14\lib\multiprocessing\spawn.py", line 236, in prepare
_fixup_main_from_path(data['init_main_from_path'])
File "C:\_Dev\Repository\ScoreHMR\Python\Python-3.10.14\lib\multiprocessing\spawn.py", line 287, in _fixup_main_from_path
main_content = runpy.run_path(main_path,
File "C:\_Dev\Repository\ScoreHMR\Python\Python-3.10.14\lib\runpy.py", line 289, in run_path
return _run_module_code(code, init_globals, run_name,
File "C:\_Dev\Repository\ScoreHMR\Python\Python-3.10.14\lib\runpy.py", line 96, in _run_module_code
_run_code(code, mod_globals, init_globals,
File "C:\_Dev\Repository\ScoreHMR\Python\Python-3.10.14\lib\runpy.py", line 86, in _run_code
exec(code, run_globals)
File "C:\_Dev\Repository\ScoreHMR\eval\eval_keypoint_fitting.py", line 88, in <module>
for ii, batch in enumerate(tqdm(dataloader)):
File "C:\_Dev\Repository\ScoreHMR\.venv\lib\site-packages\tqdm\std.py", line 1178, in __iter__
for obj in iterable:
File "C:\_Dev\Repository\ScoreHMR\.venv\lib\site-packages\torch\utils\data\dataloader.py", line 441, in __iter__
return self._get_iterator()
File "C:\_Dev\Repository\ScoreHMR\.venv\lib\site-packages\torch\utils\data\dataloader.py", line 388, in _get_iterator
return _MultiProcessingDataLoaderIter(self)
File "C:\_Dev\Repository\ScoreHMR\.venv\lib\site-packages\torch\utils\data\dataloader.py", line 1042, in __init__
w.start()
File "C:\_Dev\Repository\ScoreHMR\Python\Python-3.10.14\lib\multiprocessing\process.py", line 121, in start
self._popen = self._Popen(self)
File "C:\_Dev\Repository\ScoreHMR\Python\Python-3.10.14\lib\multiprocessing\context.py", line 224, in _Popen
return _default_context.get_context().Process._Popen(process_obj)
File "C:\_Dev\Repository\ScoreHMR\Python\Python-3.10.14\lib\multiprocessing\context.py", line 336, in _Popen
return Popen(process_obj)
File "C:\_Dev\Repository\ScoreHMR\Python\Python-3.10.14\lib\multiprocessing\popen_spawn_win32.py", line 45, in __init__
prep_data = spawn.get_preparation_data(process_obj._name)
File "C:\_Dev\Repository\ScoreHMR\Python\Python-3.10.14\lib\multiprocessing\spawn.py", line 154, in get_preparation_data
_check_not_importing_main()
File "C:\_Dev\Repository\ScoreHMR\Python\Python-3.10.14\lib\multiprocessing\spawn.py", line 134, in _check_not_importing_main
raise RuntimeError('''
RuntimeError:
An attempt has been made to start a new process before the
current process has finished its bootstrapping phase.
This probably means that you are not using fork to start your
child processes and you have forgotten to use the proper idiom
in the main module:
if __name__ == '__main__':
freeze_support()
...
The "freeze_support()" line can be omitted if the program
is not going to be frozen to produce an executable.
(.venv) C:\_Dev\Repository\ScoreHMR>
After executing the sample program, the following error message appears, Operating system: windows10 python : 3.10.14