exclude some more*2
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@ -101,7 +101,7 @@ class CustomShapeNet(InMemoryDataset):
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for element in paths:
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# This was build to filter all variations that aregreater then 25
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pattern = re.compile('^((6[0-1]|[2-5][0-9])_\w+?\d+?|pc|\d+?_pc)\.(xyz|dat)$')
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pattern = re.compile('^((6[0-1]|[1-5][0-9])_\w+?\d+?|pc|\d+?_pc)\.(xyz|dat)$')
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if pattern.match(os.path.split(element)[-1]):
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continue
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else:
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3
main.py
3
main.py
@ -123,7 +123,8 @@ if __name__ == '__main__':
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print('Epoch {}, total epoches {}'.format(epoch+1, opt.nepoch))
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net.train()
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# ToDo: We need different dataloader here to train the network in multiple iterations, maybe move the loop down
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# for dataloader in ...
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for batch_idx, sample in enumerate(dataLoader):
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# points: (batch_size, n, 3)
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# labels: (batch_size, n)
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