Interface layer for CT image processing tools.
This project contains base classes to provide a common self-describing
interface for calling image analysis Tools.
| class family | purpose | module |
|---|---|---|
| data handlers | to abstract away the backing method of data storage | pyRafters.handler_base |
ArgSpec |
container for all the meta-data about arguments | pyRafters.args_base |
ToolBase |
container for all of the meta-data + code to run a given computation | pyRafters.tools_base |
The idea of handlers is to provide a layer between the Tool code and
the details of how the data is to be stored. There will be a
sub-class of BaseSource/BaseSink for each semantic type of data.
Tools validate their data I/O by requiring that arguments be of a
specific sub-class. For example the class DistributionSource
provides the functions:
read_values()read_edges()
which return, respectively, the value and each bin and the left edges
of the bins. A Tool that needs a distribution as input can thus
take a DistributionSource instance and work correctly, independent
of the details of exactly how the data is stored.
Eventually, the handlers module should include reference
implementations for all of the data types that can be stored in hdf files.
These classes provide enough meta-data about the arguments
(parameters, input data, output data) to auto-generate user interfaces
from the Tool class.
The tools in pyRafters.tools are intended to provide a template for adding new tools.