Spaces:
Build error
Build error
File size: 1,796 Bytes
28c256d |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 |
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import argparse
import mmengine
from mmengine import Config, DictAction
from mmengine.evaluator import Evaluator
from mmengine.registry import init_default_scope
from mmdet.registry import DATASETS
def parse_args():
parser = argparse.ArgumentParser(description='Evaluate metric of the '
'results saved in pkl format')
parser.add_argument('config', help='Config of the model')
parser.add_argument('pkl_results', help='Results in pickle format')
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()
return args
def main():
args = parse_args()
cfg = Config.fromfile(args.config)
init_default_scope(cfg.get('default_scope', 'mmdet'))
if args.cfg_options is not None:
cfg.merge_from_dict(args.cfg_options)
dataset = DATASETS.build(cfg.test_dataloader.dataset)
predictions = mmengine.load(args.pkl_results)
evaluator = Evaluator(cfg.val_evaluator)
evaluator.dataset_meta = dataset.metainfo
eval_results = evaluator.offline_evaluate(predictions)
print(eval_results)
if __name__ == '__main__':
main()
|