-
Notifications
You must be signed in to change notification settings - Fork 5
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Some operational issues #3
Comments
It seems this is not a bug of my code, but a bug of Pytorch on Windows. Here are some references: pytorch/pytorch#12085 I am sorry but I don't have a Windows computer so I can't help you debug. Besides, all of my codes are built on Ubuntu. |
Thank you very much for your quick reply, I'll try Ubuntu later. |
Hello, HowieMa Traceback (most recent call last): |
It seems that you didn't load the image successfully. |
After processing data in strict accordance with the requirements of H36M-Toolbox, I jumped out of this problem. Thank you for your ideas |
👍 |
Hi lilucy11,Can you give me a download link of the h36m dataset? Thank u very much |
I am so sorry but so far what I can know is this error is related to the dataset/ data loader. Without any detail, I don't know what happens on your side. It is possible that you don't set the data path correctly. Or your data does not organize in the correct way. |
Hello HowieMa Thank you @HowieMa |
It seems that the variable "data_numpy" is None, which means you don't load the image correctly. Make sure your images are not stored in a Zip file. In general, this is not a bug in my code. Maybe setting some breakpoints in the Dataloader code can help you understand your bug. If you believe it is the version of Pytorch or Python, maybe it's better to report the issue to Pytorch Team. Thanks! |
Thank you. I'll try again. |
did you fix the issue? I meet the same problem with you |
Hello, HowieMa,
I encountered a recall when running the training program on Windows, the specific error is as follows. I am not sure what's wrong,Can you help me solve this problem? Thank you very much. @HowieMa
=> no checkpoint found at output\multiview_h36m\multiview_transpose_50\256_fusion_enc3_GPE\checkpoint.pth.tar
before filter 1559752
after filter 1559752
before filter 550644
after filter 532192
Traceback (most recent call last):
File "run/pose2d/train.py", line 200, in
main()
File "run/pose2d/train.py", line 171, in main
train(config, train_loader, model, criterion, optimizer, epoch,
File "D:\TransFusion-Pose\run\pose2d....\lib\core\function.py", line 98, in train
for i, (inputs, targets, weights, metas) in enumerate(data):
File "C:\procedure_for_study\Anaconda3\envs\transpose\lib\site-packages\torch\utils\data\dataloader.py", line 352, in iter
return self._get_iterator()
File "C:\procedure_for_study\Anaconda3\envs\transpose\lib\site-packages\torch\utils\data\dataloader.py", line 294, in _get_iterator
return _MultiProcessingDataLoaderIter(self)
File "C:\procedure_for_study\Anaconda3\envs\transpose\lib\site-packages\torch\utils\data\dataloader.py", line 801, in init
w.start()
File "C:\procedure_for_study\Anaconda3\envs\transpose\lib\multiprocessing\process.py", line 121, in start
self._popen = self._Popen(self)
File "C:\procedure_for_study\Anaconda3\envs\transpose\lib\multiprocessing\context.py", line 224, in _Popen
return _default_context.get_context().Process._Popen(process_obj)
File "C:\procedure_for_study\Anaconda3\envs\transpose\lib\multiprocessing\context.py", line 327, in _Popen
return Popen(process_obj)
File "C:\procedure_for_study\Anaconda3\envs\transpose\lib\multiprocessing\popen_spawn_win32.py", line 93, in init
reduction.dump(process_obj, to_child)
File "C:\procedure_for_study\Anaconda3\envs\transpose\lib\multiprocessing\reduction.py", line 60, in dump
ForkingPickler(file, protocol).dump(obj)
MemoryError
Traceback (most recent call last):
File "", line 1, in
File "C:\procedure_for_study\Anaconda3\envs\transpose\lib\multiprocessing\spawn.py", line 116, in spawn_main
exitcode = _main(fd, parent_sentinel)
File "C:\procedure_for_study\Anaconda3\envs\transpose\lib\multiprocessing\spawn.py", line 126, in _main
self = reduction.pickle.load(from_parent)
EOFError: Ran out of input
The text was updated successfully, but these errors were encountered: