TTP / tools /misc /print_config.py
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# Copyright (c) OpenMMLab. All rights reserved.
import argparse
import warnings
from mmengine import Config, DictAction
from mmseg.apis import init_model
def parse_args():
parser = argparse.ArgumentParser(description='Print the whole config')
parser.add_argument('config', help='config file path')
parser.add_argument(
'--graph', action='store_true', help='print the models graph')
parser.add_argument(
'--options',
nargs='+',
action=DictAction,
help="--options is deprecated in favor of --cfg_options' and it will "
'not be supported in version v0.22.0. Override some settings in the '
'used config, the key-value pair in xxx=yyy format will be merged '
'into config file. If the value to be overwritten is a list, it '
'should be like key="[a,b]" or key=a,b It also allows nested '
'list/tuple values, e.g. key="[(a,b),(c,d)]" Note that the quotation '
'marks are necessary and that no white space is allowed.')
parser.add_argument(
'--cfg-options',
nargs='+',
action=DictAction,
help='override some settings in the used config, the key-value pair '
'in xxx=yyy format will be merged into config file. If the value to '
'be overwritten is a list, it should be like key="[a,b]" or key=a,b '
'It also allows nested list/tuple values, e.g. key="[(a,b),(c,d)]" '
'Note that the quotation marks are necessary and that no white space '
'is allowed.')
args = parser.parse_args()
if args.options and args.cfg_options:
raise ValueError(
'--options and --cfg-options cannot be both '
'specified, --options is deprecated in favor of --cfg-options. '
'--options will not be supported in version v0.22.0.')
if args.options:
warnings.warn('--options is deprecated in favor of --cfg-options, '
'--options will not be supported in version v0.22.0.')
args.cfg_options = args.options
return args
def main():
args = parse_args()
cfg = Config.fromfile(args.config)
if args.cfg_options is not None:
cfg.merge_from_dict(args.cfg_options)
print(f'Config:\n{cfg.pretty_text}')
# dump config
cfg.dump('example.py')
# dump models graph
if args.graph:
model = init_model(args.config, device='cpu')
print(f'Model graph:\n{str(model)}')
with open('example-graph.txt', 'w') as f:
f.writelines(str(model))
if __name__ == '__main__':
main()