niftynet.engine.application_driver module¶
This module defines a general procedure for running applications.
- Example usage::
- app_driver = ApplicationDriver() app_driver.initialise_application(system_param, input_data_param) app_driver.run_application()
system_param
and input_data_param
should be generated using:
niftynet.utilities.user_parameters_parser.run()
-
class
ApplicationDriver
[source]¶ Bases:
object
This class initialises an application by building a TF graph, and maintaining a session and coordinator. It controls the starting/stopping of an application. Applications should be implemented by inheriting
niftynet.application.base_application
to be compatible with this driver.-
initialise_application
(workflow_param, data_param)[source]¶ This function receives all parameters from user config file, create an instance of application.
Parameters: - workflow_param – a dictionary of user parameters, keys correspond to sections in the config file
- data_param – a dictionary of input image parameters, keys correspond to data properties to be used by image_reader
Returns:
-
run_application
()[source]¶ Initialise a TF graph, connect data sampler and network within the graph context, run training loops or inference loops.
The training loop terminates when
self.final_iter
reached. The inference loop terminates when there is no more image sample to be processed from image reader.Returns:
-