BrokenPipeError: [Errno 32] Broken pipe
urbansound8K opened this issue · 5 comments
Traceback (most recent call last):
File "", line 1, in
Traceback (most recent call last):
File "train.py", line 114, in
File "C:\Users*\anaconda3\envs\lidar\lib\multiprocessing\spawn.py", line 105, in spawn_main
trainer = Trainer(ARCH, DATA, FLAGS.dataset, FLAGS.log, FLAGS.pretrained)
File "../..\tasks\semantic\modules\trainer.py", line 69, in init
exitcode = _main(fd)
File "C:\Users*\anaconda3\envs\lidar\lib\multiprocessing\spawn.py", line 115, in _main
shuffle_train=True)
File "../..//tasks/semantic/dataset/kitti/parser.py", line 272, in init
self = reduction.pickle.load(from_parent)
ModuleNotFoundError: No module named 'parserModule'
self.trainiter = iter(self.trainloader)
File "C:\Users*\anaconda3\envs\lidar\lib\site-packages\torch\utils\data\dataloader.py", line 352, in iter
return self._get_iterator()
File "C:\Users*\anaconda3\envs\lidar\lib\site-packages\torch\utils\data\dataloader.py", line 294, in _get_iterator
return _MultiProcessingDataLoaderIter(self)
File "C:\Users*\anaconda3\envs\lidar\lib\site-packages\torch\utils\data\dataloader.py", line 801, in init
w.start()
File "C:\Users*\anaconda3\envs\lidar\lib\multiprocessing\process.py", line 105, in start
self._popen = self._Popen(self)
File "C:\Users*\anaconda3\envs\lidar\lib\multiprocessing\context.py", line 223, in _Popen
return _default_context.get_context().Process._Popen(process_obj)
File "C:\Users*\anaconda3\envs\lidar\lib\multiprocessing\context.py", line 322, in _Popen
return Popen(process_obj)
File "C:\Users*\anaconda3\envs\lidar\lib\multiprocessing\popen_spawn_win32.py", line 65, in init
reduction.dump(process_obj, to_child)
File "C:\Users*\anaconda3\envs\lidar\lib\multiprocessing\reduction.py", line 60, in dump
ForkingPickler(file, protocol).dump(obj)
BrokenPipeError: [Errno 32] Broken pipe
any solution??
We tested our framework under Ubuntu 18.04 or 20.04. Apparently, you are running it under Windows, which expects a different path format. The important part of the abovementioned error is:
File "C:\Users*\anaconda3\envs\lidar\lib\multiprocessing\spawn.py", line 105, in spawn_main
trainer = Trainer(ARCH, DATA, FLAGS.dataset, FLAGS.log, FLAGS.pretrained)
File "../..\tasks\semantic\modules\trainer.py", line 69, in init
exitcode = _main(fd)
File "C:\Users*\anaconda3\envs\lidar\lib\multiprocessing\spawn.py", line 115, in _main
shuffle_train=True)
File "../..//tasks/semantic/dataset/kitti/parser.py", line 272, in init
self = reduction.pickle.load(from_parent)
ModuleNotFoundError: No module named 'parserModule'
I fixed this error by using os.path.join to account for the difference between ../..//tasks/semantic/dataset/kitti/parser.py, which is a valid path under unix-based operating systems, and ..\..\tasks\semantic\dataset\kitti\parser.py, which is a valid path under windows. Let us know if this fix resolves your issue.
the path is fine as you can see but the problem is still there?
Traceback (most recent call last):
File "train.py", line 114, in
File "C:\Users\3DFRAhmed\anaconda3\envs\lidar\lib\multiprocessing\spawn.py", line 105, in spawn_main
trainer = Trainer(ARCH, DATA, FLAGS.dataset, FLAGS.log, FLAGS.pretrained)
File "....\tasks\semantic\modules\trainer.py", line 73, in init
exitcode = _main(fd)
File "C:\Users\3DFRAhmed\anaconda3\envs\lidar\lib\multiprocessing\spawn.py", line 115, in _main
shuffle_train=True)
File "....\tasks\semantic\dataset\kitti\parser.py", line 274, in init
self = reduction.pickle.load(from_parent)
AttributeError: Can't get attribute 'SemanticKitti' on <module 'parser' (built-in)>
self.trainiter = iter(self.trainloader)
I am getting this error?
It's hard for me to diagnose the problem as I haven't a Windows environment setup. We run the code mainly under Ubuntu 20.04 or 18.04. Sorry that we cannot provide support for Windows.
thanks
I was able to run the code on Ubuntu
do you have any idea how to measure the distance of detected objects? I mean how to display the distance of an object after the segmentation?