Error when runing "python extract.py --csv=input.csv --type=2d --batch_size=64 --num_decoding_thread=1" on windows and linux

[zhang123-sys]

[zhang123-sys]

python extract.py --csv=input.csv --type=2d --batch_size=64 --num_decoding_thread=1
Loading 2D-ResNet-152 ...
loaded
Loading 2D-ResNet-152 ...
loaded
Traceback (most recent call last):
  File "<string>", line 1, in <module>
  File "C:\Users\hp\Miniconda3\lib\multiprocessing\spawn.py", line 116, in spawn_main
    exitcode = _main(fd, parent_sentinel)
  File "C:\Users\hp\Miniconda3\lib\multiprocessing\spawn.py", line 125, in _main
    prepare(preparation_data)
  File "C:\Users\hp\Miniconda3\lib\multiprocessing\spawn.py", line 236, in prepare
    _fixup_main_from_path(data['init_main_from_path'])
  File "C:\Users\hp\Miniconda3\lib\multiprocessing\spawn.py", line 287, in _fixup_main_from_path
    main_content = runpy.run_path(main_path,
  File "C:\Users\hp\Miniconda3\lib\runpy.py", line 262, in run_path
    return _run_module_code(code, init_globals, run_name,
  File "C:\Users\hp\Miniconda3\lib\runpy.py", line 95, in _run_module_code
    _run_code(code, mod_globals, init_globals,
  File "C:\Users\hp\Miniconda3\lib\runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "D:\论文\视频到视频\video_feature_extractor\extract.py", line 51, in <module>
    for k, data in enumerate(loader):
  File "C:\Users\hp\Miniconda3\lib\site-packages\torch\utils\data\dataloader.py", line 359, in __iter__
    return self._get_iterator()
  File "C:\Users\hp\Miniconda3\lib\site-packages\torch\utils\data\dataloader.py", line 305, in _get_iterator
    return _MultiProcessingDataLoaderIter(self)
  File "C:\Users\hp\Miniconda3\lib\site-packages\torch\utils\data\dataloader.py", line 918, in __init__
    w.start()
  File "C:\Users\hp\Miniconda3\lib\multiprocessing\process.py", line 121, in start
    self._popen = self._Popen(self)
  File "C:\Users\hp\Miniconda3\lib\multiprocessing\context.py", line 224, in _Popen
    return _default_context.get_context().Process._Popen(process_obj)
  File "C:\Users\hp\Miniconda3\lib\multiprocessing\context.py", line 326, in _Popen
    return Popen(process_obj)
  File "C:\Users\hp\Miniconda3\lib\multiprocessing\popen_spawn_win32.py", line 45, in __init__
    prep_data = spawn.get_preparation_data(process_obj._name)
  File "C:\Users\hp\Miniconda3\lib\multiprocessing\spawn.py", line 154, in get_preparation_data
    _check_not_importing_main()
  File "C:\Users\hp\Miniconda3\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.
Traceback (most recent call last):
  File "C:\Users\hp\Miniconda3\lib\site-packages\torch\utils\data\dataloader.py", line 990, in _try_get_data
    data = self._data_queue.get(timeout=timeout)
  File "C:\Users\hp\Miniconda3\lib\multiprocessing\queues.py", line 108, in get
    raise Empty
_queue.Empty

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
  File "extract.py", line 51, in <module>
    for k, data in enumerate(loader):
  File "C:\Users\hp\Miniconda3\lib\site-packages\torch\utils\data\dataloader.py", line 521, in __next__
    data = self._next_data()
  File "C:\Users\hp\Miniconda3\lib\site-packages\torch\utils\data\dataloader.py", line 1186, in _next_data
    idx, data = self._get_data()
  File "C:\Users\hp\Miniconda3\lib\site-packages\torch\utils\data\dataloader.py", line 1152, in _get_data
    success, data = self._try_get_data()
  File "C:\Users\hp\Miniconda3\lib\site-packages\torch\utils\data\dataloader.py", line 1003, in _try_get_data
    raise RuntimeError('DataLoader worker (pid(s) {}) exited unexpectedly'.format(pids_str)) from e
RuntimeError: DataLoader worker (pid(s) 8308) exited unexpectedly

[zhang123-sys]

On linux, I run "python extract.py --csv=input.csv --type=2d --batch_size=64 --num_decoding_thread=4", but

[zhang123-sys]

[zhang123-sys]

On linux, I run "python extract.py --csv=input.csv --type=2d --batch_size=64 --num_decoding_thread=4", but

[zhang123-sys]

Traceback (most recent call last):
  File "extract.py", line 51, in <module>
    for k, data in enumerate(loader):
  File "/usr/local/miniconda3/envs/py37torch160/lib/python3.7/site-packages/torch/utils/data/dataloader.py", line 530, in __next__
    data = self._next_data()
  File "/usr/local/miniconda3/envs/py37torch160/lib/python3.7/site-packages/torch/utils/data/dataloader.py", line 1224, in _next_data
    return self._process_data(data)
  File "/usr/local/miniconda3/envs/py37torch160/lib/python3.7/site-packages/torch/utils/data/dataloader.py", line 1250, in _process_data
    data.reraise()
  File "/usr/local/miniconda3/envs/py37torch160/lib/python3.7/site-packages/torch/_utils.py", line 457, in reraise
    raise exception
TypeError: Caught TypeError in DataLoader worker process 0.
Original Traceback (most recent call last):
  File "/usr/local/miniconda3/envs/py37torch160/lib/python3.7/site-packages/torch/utils/data/_utils/worker.py", line 287, in _worker_loop
    data = fetcher.fetch(index)
  File "/usr/local/miniconda3/envs/py37torch160/lib/python3.7/site-packages/torch/utils/data/_utils/fetch.py", line 49, in fetch
    data = [self.dataset[idx] for idx in possibly_batched_index]
  File "/usr/local/miniconda3/envs/py37torch160/lib/python3.7/site-packages/torch/utils/data/_utils/fetch.py", line 49, in <listcomp>
    data = [self.dataset[idx] for idx in possibly_batched_index]
  File "/hy-nas/video_feature_extractor/video_loader.py", line 77, in __getitem__
    video = np.frombuffer(out, np.uint8).reshape([-1, height, width, 3])
TypeError: a bytes-like object is required, not 'NoneType'