Strange error while funetunning zjumocap

[sylyt62]

I want to finetune with zjumocap 313, just like what the config does. But met the following issue.
Is it caused by windows?

btw I modified some lines in

ENeRF/lib/utils/net_utils.py

Line 391 in fe1adae

os.system('mkdir -p {}'.format(model_dir))

to something like os.makedirs(model_dir, exist_ok=True), which will create "-p" folder under the workspace in windows.

Error logs:

(smpl-py38-torch110-cu111) PS D:\workspace4tian\ENeRF> python train_net.py --cfg_file configs/enerf/zjumocap/zjumocap_train.yaml
Workspace:  D:\workspace4tian\ENeRF
configs/enerf/dtu_pretrain.yaml
configs/enerf/zjumocap/zjumocap_train.yaml
EXP NAME:  zjumocap
D:\sdk\envs\smpl-py38-torch110-cu111\lib\site-packages\torchvision\models\_utils.py:208: UserWarning: The parameter 'pretrained' is deprecated since 0.13 and may be removed in the future, please use 'weights' instead.
  warnings.warn(
D:\sdk\envs\smpl-py38-torch110-cu111\lib\site-packages\torchvision\models\_utils.py:223: UserWarning: Arguments other than a weight enum or `None` for 'weights' are deprecated since 0.13 and may be removed in the future. The current behavior is equivalent to passing `weights=VGG16_Weights.IMAGENET1K_V1`. You can also use `weights=VGG16_Weights.DEFAULT` to get the most up-to-date weights.
  warnings.warn(msg)
Setting up [LPIPS] perceptual loss: trunk [vgg], v[0.1], spatial [off]
D:\sdk\envs\smpl-py38-torch110-cu111\lib\site-packages\torchvision\models\_utils.py:208: UserWarning: The parameter 'pretrained' is deprecated since 0.13 and may be removed in the future, please use 'weights' instead.
  warnings.warn(
D:\sdk\envs\smpl-py38-torch110-cu111\lib\site-packages\torchvision\models\_utils.py:223: UserWarning: Arguments other than a weight enum or `None` for 'weights' are deprecated since 0.13 and may be removed in the future. The current behavior is equivalent to passing `weights=VGG16_Weights.IMAGENET1K_V1`. You can also use `weights=VGG16_Weights.DEFAULT` to get the most up-to-date weights.
  warnings.warn(msg)
Loading model from: D:\sdk\envs\smpl-py38-torch110-cu111\lib\site-packages\lpips\weights\v0.1\vgg.pth
子目录或文件 D:\workspace4tian\ENeRF\result\enerf\zjumocap\default 已经存在。
处理: D:\workspace4tian\ENeRF\result\enerf\zjumocap\default 时出错。
Load pretrain model: D:\workspace4tian\ENeRF\trained_model\enerf\dtu_pretrain\latest.pth
Traceback (most recent call last):
  File "train_net.py", line 117, in <module>
    main()
    w.start()
  File "C:\Program Files\Python38\lib\multiprocessing\process.py", line 121, in start
    self._popen = self._Popen(self)
  File "C:\Program Files\Python38\lib\multiprocessing\context.py", line 224, in _Popen
    return _default_context.get_context().Process._Popen(process_obj)
  File "C:\Program Files\Python38\lib\multiprocessing\context.py", line 327, in _Popen
    return Popen(process_obj)
  File "C:\Program Files\Python38\lib\multiprocessing\popen_spawn_win32.py", line 93, in __init__
    reduction.dump(process_obj, to_child)
  File "C:\Program Files\Python38\lib\multiprocessing\reduction.py", line 60, in dump
    ForkingPickler(file, protocol).dump(obj)
_pickle.PicklingError: Can't pickle <class 'lib.datasets.zjumocap.enerf.Dataset'>: it's not the same object as lib.datasets.zjumocap.enerf.Dataset
Workspace:  D:\workspace4tian\ENeRF
configs/enerf/dtu_pretrain.yaml
configs/enerf/zjumocap/zjumocap_train.yaml
EXP NAME:  zjumocap
(smpl-py38-torch110-cu111) PS D:\workspace4tian\ENeRF> Traceback (most recent call last):
  File "<string>", line 1, in <module>
  File "C:\Program Files\Python38\lib\multiprocessing\spawn.py", line 116, in spawn_main
    exitcode = _main(fd, parent_sentinel)
  File "C:\Program Files\Python38\lib\multiprocessing\spawn.py", line 126, in _main
    self = reduction.pickle.load(from_parent)
EOFError: Ran out of input

[sylyt62]

I hardcode the num_works of train_loader to 0 and it works.