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[BMVC2021] "TransFusion: Cross-view Fusion with Transformer for 3D Human Pose Estimation"

License: MIT License

Python 100.00%
pose-estimation pytorch 3d-human-pose vision-transformer epipolar-geometry

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transfusion-pose's Issues

Some operational issues

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

Visualization problem

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

pkl in pre training model

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

Pre training model

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

new camera setup

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?

data set

Hello, thank you for sharing. Your work is very meaningful to me. I want to ask a question. How often do I get a reply about the dataset Skipose when I apply to the owner. As shown, the following is what I want to apply for. Thanks again and look forward to your reply!
212

Human joint points

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

ski_centers csv file for Ski

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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