howiema / transfusion-pose Goto Github PK
View Code? Open in Web Editor NEW[BMVC2021] "TransFusion: Cross-view Fusion with Transformer for 3D Human Pose Estimation"
License: MIT License
[BMVC2021] "TransFusion: Cross-view Fusion with Transformer for 3D Human Pose Estimation"
License: MIT License
I download the output.zip from the link, but don't know how to use it.
=> 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
Thank you so much for sharing your project. I am a beginner in this area, can you help me with deployment and 3D visualization? Thank you very much. @HowieMa
First of all, thank you for your contribution and sharing. I'm very interested in your project. I'd like to ask about the PKL files in the pre training. What is the function of the PKL file? Can I use it directly? Look forward to your reply, thank you again!
@HowieMa
Hello, because of the large amount of data, it is not easy to train; Can you provide the pre training model? Look forward to your reply, thank you!
@HowieMa
as my currently understanding , the trained model does not applicable to a new camera setup . when the cameras intrinsic or extrisic parameters change, the model needs to be retrained. right?
Hello, can it works well when multi-person in cross-view?
Hello! I'd like to ask about the human joints. What are the names of 3: rank and 6: lank? I hope to get your reply. thank you! @HowieMa
Hi guys,
Thank you for sharing your work!
I have a question, how did you get the ski_centers.csv
file? I have the SkiPose-PTZ dataset, but I don't find any file with that name.
Thanks!
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