why .h5?

[seuxiaoge]

hello, why is the data in .h5 format?How do I visualize it?

[Xiangde Luo]

Hi, seuxiaoge;
just because my personal habit, which saved the processed data as .h5 file. You can read it as NumPy array and plot it by matplotlib or save it as NIfTI data and show it by ITK SNAP.
Best wishes;
xdluo.

[seuxiaoge]

Traceback (most recent call last):
File "E:/code/SSL4MIS-master/code/train_unet_2D_adversarial_network.py", line 283, in
train(args, snapshot_path)
File "E:/code/SSL4MIS-master/code/train_unet_2D_adversarial_network.py", line 138, in train
for i_batch, sampled_batch in enumerate(trainloader):
File "D:\Anaconda3\envs\semi\lib\site-packages\torch\utils\data\dataloader.py", line 193, in iter
return _DataLoaderIter(self)
File "D:\Anaconda3\envs\semi\lib\site-packages\torch\utils\data\dataloader.py", line 469, in init
w.start()
File "D:\Anaconda3\envs\semi\lib\multiprocessing\process.py", line 105, in start
self._popen = self._Popen(self)
File "D:\Anaconda3\envs\semi\lib\multiprocessing\context.py", line 223, in _Popen
return _default_context.get_context().Process._Popen(process_obj)
File "D:\Anaconda3\envs\semi\lib\multiprocessing\context.py", line 322, in _Popen
return Popen(process_obj)
File "D:\Anaconda3\envs\semi\lib\multiprocessing\popen_spawn_win32.py", line 65, in init
reduction.dump(process_obj, to_child)
File "D:\Anaconda3\envs\semi\lib\multiprocessing\reduction.py", line 60, in dump
ForkingPickler(file, protocol).dump(obj)
AttributeError: Can't pickle local object 'train..worker_init_fn'

[seuxiaoge]

what‘s this？

[Xiangde Luo]

I don't know, please make sure your relevant-requirements are right firstly. And then, debug your code carefully. By the way, this repo has been tested many times on Ubuntu20.04, there aren't any bug.

[bulose]

hello, why is the data in .h5 format?How do I visualize it?
Hi, do you know how to convert a normal data set to h5 format？