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Hi Dimatura, Your paper and work are really inspiring.
I want to use Keras to repeat your work through the given codes.
I notice that in your codes you have augmented(jitter) and load the 3D voxel data in a size of "chunk_size * batch_size".
How about just take a mini batch of data (e.g.,we take a batch size of 32 in your code) every time before we jitter or load the data.
What's the purpose of processing the data regarding "chunk_size * batch_size" as a whole instead of just a mini batch of data without chunk_size?
The text was updated successfully, but these errors were encountered:
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Hi Dimatura,
Your paper and work are really inspiring.
I want to use Keras to repeat your work through the given codes.
I notice that in your codes you have augmented(jitter) and load the 3D voxel data in a size of "chunk_size * batch_size".
How about just take a mini batch of data (e.g.,we take a batch size of 32 in your code) every time before we jitter or load the data.
What's the purpose of processing the data regarding "chunk_size * batch_size" as a whole instead of just a mini batch of data without chunk_size?
The text was updated successfully, but these errors were encountered: