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Converting Data
Todo: fill in more about this class
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To get a prompt on how to use the class just run
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./parse_bag_pytables.py
orpython parse_bag_pytables.py
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For the simplest use of a single bag file you can run:
./parse_bag_pytables.py _input_files:=<Location to bag file>
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This will output to a file
converted_data.h5
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There are more flags that can be used to parse based on subsampling, directories, etc. TODO: document these flags...
There are some basic convenience functions that will help load hdf5 data in a somewhat efficient manner
To see how to call this look at file load_h5_dataset.py
. There is an example of how to call the functions. You can simple import the functions in this file and call it from any python script.
To test using the command line just run load_h5_dataset.py <path to .h5 file>
. It currently stops in pdb after the data is loaded into a python dictionary. To see your data, browse as you would a dictionary (e.g., data.keys())
TODO: How to call the more efficient loading functions (doesn't load entire dataset, just subsets or specified keys). Currently supported, but no documentation