Generic operations #75
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kaedroho
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zerolab
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Apr 12, 2019
| self._registered_operations[image_class][operation_name] = func | ||
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| def register_generic_operation(self, dependencies, operation_name, func): |
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an "operation_name, func, dependencies" order makes more sense to me.
I realise you are modelling this on register_operation above, but the distinction is that the image_class is in the right place as it defines where the operation takes place...
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| from collections import defaultdict | |||
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| class OperationNameConflict(Exception): | |||
| """ | |||
| Raised when an operation is registered that clashes with an existing generic operation's name | |||
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"Raised when the registered operation clashes with an existing operation" ?
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This PR implements a new feature called "generic operations". This allows third party apps to register operations that only interact with other operations and not the image directly, which means the operation could be called using any image class that supports those operations it depends on.
The first generic operation is
get_pixel_countwhich callsget_sizeandget_frame_countand multiplies the results together. This operation gets automatically added on to the Pillow, Wand and OpenCV image classes as they all support theget_sizeandget_frame_countoperations.This will be really nice once we have the Affine Transformations API as this would allow us to implement the higher-level operations (eg, rotate, scale, etc) for all backends that support that API generically.