Usage

(a) Running the demos:

Please see the README.md in each folder of this directory for more details.

(b) To run an application

For example, to run a segmentation network ^(*):

# training
net_segment train -c /path/to/customised_config
# inference
net_segment inference -c /path/to/customised_config

where /path/to/customised_config implements all parameters listed by running:

net_segment -h

please see configuration documentations for more details and config file examples.

Commandline parameters override the default settings defined in /path/to/customised_config. For example,

# training
net_segment train -c /path/to/customised_config --lr 0.1

Uses all parameter specified in /path/to/customised_config but sets the learning rate to 0.1

^{(*) Please note that these instructions are for a pip-installed NiftyNet. If you are using the NiftyNet command line interface from within the NiftyNet source code, please use python net_segment.py [...] (provided that the current working directory is the root folder of the NiftyNet repository clone) instead of net_segment [...].}