ZF4444 / MMAL-Net

This is a PyTorch implementation of the paper "Multi-branch and Multi-scale Attention Learning for Fine-Grained Visual Categorization (MMAL-Net)" (Fan Zhang, Meng Li, Guisheng Zhai, Yizhao Liu).
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Error in evaluation using test.py #7

Closed Eswar1991 closed 4 years ago

Eswar1991 commented 4 years ago

I trained TBMSL-NET on my custom data set. During the evaluation using the test.py, I am getting the following error:

Testing 0%| | 0/15 [00:00<?, ?it/s] Traceback (most recent call last): File "", line 1, in Traceback (most recent call last): File "test.py", line 58, in File "E:\Anaconda3\envs\tbmsl_net\lib\multiprocessing\spawn.py", line 105, in spawn_main for i, data in enumerate(tqdm(testloader)): File "E:\Anaconda3\envs\tbmsl_net\lib\site-packages\tqdm\std.py", line 1104, in iter exitcode = _main(fd) File "E:\Anaconda3\envs\tbmsl_net\lib\multiprocessing\spawn.py", line 114, in _main prepare(preparation_data) File "E:\Anaconda3\envs\tbmsl_net\lib\multiprocessing\spawn.py", line 225, in prepare _fixup_main_from_path(data['init_main_from_path']) File "E:\Anaconda3\envs\tbmsl_net\lib\multiprocessing\spawn.py", line 277, in _fixup_main_from_path run_name="mp_main") File "E:\Anaconda3\envs\tbmsl_net\lib\runpy.py", line 263, in run_path pkg_name=pkg_name, script_name=fname) File "E:\Anaconda3\envs\tbmsl_net\lib\runpy.py", line 96, in _run_module_code mod_name, mod_spec, pkg_name, script_name) File "E:\Anaconda3\envs\tbmsl_net\lib\runpy.py", line 85, in _run_code exec(code, run_globals) File "F:\Codes\TBMSL-Net\test.py", line 58, in for i, data in enumerate(tqdm(testloader)): File "E:\Anaconda3\envs\tbmsl_net\lib\site-packages\tqdm\std.py", line 1104, in iter__ for obj in iterable: for obj in iterable: File "E:\Anaconda3\envs\tbmsl_net\lib\site-packages\torch\utils\data\dataloader.py", line 278, in iter File "E:\Anaconda3\envs\tbmsl_net\lib\site-packages\torch\utils\data\dataloader.py", line 278, in iter return _MultiProcessingDataLoaderIter(self) File "E:\Anaconda3\envs\tbmsl_net\lib\site-packages\torch\utils\data\dataloader.py", line 682, in init return _MultiProcessingDataLoaderIter(self) File "E:\Anaconda3\envs\tbmsl_net\lib\site-packages\torch\utils\data\dataloader.py", line 682, in init w.start() File "E:\Anaconda3\envs\tbmsl_net\lib\multiprocessing\process.py", line 112, in start w.start() File "E:\Anaconda3\envs\tbmsl_net\lib\multiprocessing\process.py", line 112, in start self._popen = self._Popen(self) self._popen = self._Popen(self) File "E:\Anaconda3\envs\tbmsl_net\lib\multiprocessing\context.py", line 223, in _Popen File "E:\Anaconda3\envs\tbmsl_net\lib\multiprocessing\context.py", line 223, in _Popen return _default_context.get_context().Process._Popen(process_obj) File "E:\Anaconda3\envs\tbmsl_net\lib\multiprocessing\context.py", line 322, in _Popen return _default_context.get_context().Process._Popen(process_obj) File "E:\Anaconda3\envs\tbmsl_net\lib\multiprocessing\context.py", line 322, in _Popen return Popen(process_obj) return Popen(process_obj) File "E:\Anaconda3\envs\tbmsl_net\lib\multiprocessing\popen_spawn_win32.py", line 89, in init__ File "E:\Anaconda3\envs\tbmsl_net\lib\multiprocessing\popen_spawn_win32.py", line 46, in init reduction.dump(process_obj, to_child) File "E:\Anaconda3\envs\tbmsl_net\lib\multiprocessing\reduction.py", line 60, in dump prep_data = spawn.get_preparation_data(process_obj._name) File "E:\Anaconda3\envs\tbmsl_net\lib\multiprocessing\spawn.py", line 143, in get_preparation_data _check_not_importing_main() File "E:\Anaconda3\envs\tbmsl_net\lib\multiprocessing\spawn.py", line 136, in _check_not_importing_main is not going to be frozen to produce an executable.''') 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.
ForkingPickler(file, protocol).dump(obj)

BrokenPipeError: [Errno 32] Broken pipe 0%|

I also tried it on FGVC-Aircraft data set but got the same error. What can cause this?

ZF4444 commented 4 years ago

I have never encountered this problem, maybe you can try not to use tqdm https://github.com/ZF1044404254/TBMSL-Net/blob/f5b442d1226b0a3afa365c09895ec025b578de15/test.py#L53

Eswar1991 commented 4 years ago

It was an issue in torch DataLoader. For Windows, num_workers>0 doesn't work. So, I Changed num_workers from 8 to 0 in utils/read_dataset.py, line 31-32:

testloader = torch.utils.data.DataLoader(testset, batch_size=batch_size, shuffle=False, num_workers=8, drop_last=False)

It solved the issue.