mirror of
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85 lines
2.3 KiB
Python
85 lines
2.3 KiB
Python
# Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import sys
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import os
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import logging
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sys.path.insert(0, os.path.abspath('.'))
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import argparse
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def str2bool(v):
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return str(v).lower() in ("true", "t", "1")
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def tostrlist(v):
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if isinstance(v, list):
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return v
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elif isinstance(v, str):
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return [e.strip() for e in v.split(',')]
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def parse_args():
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parser = argparse.ArgumentParser(description='Paddle Face Exporter')
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# Model setting
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parser.add_argument(
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'--is_static',
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type=str2bool,
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default='False',
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help='whether to use static mode')
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parser.add_argument(
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'--backbone',
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type=str,
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default='FresResNet50',
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help='backbone network')
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parser.add_argument(
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'--embedding_size', type=int, default=512, help='embedding size')
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parser.add_argument(
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'--checkpoint_dir',
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type=str,
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default='MS1M_v3_arcface/FresResNet50/24/',
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help='checkpoint direcotry')
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parser.add_argument(
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'--data_dir',
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type=str,
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default='./MS1M_v3_bin',
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help='train dataset directory')
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parser.add_argument(
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'--val_targets',
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type=tostrlist,
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default=["lfw", "cfp_fp", "agedb_30"],
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help='val targets, list or str split by comma')
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parser.add_argument(
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'--batch_size', type=int, default=128, help='test batch size')
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args = parser.parse_args()
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return args
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if __name__ == '__main__':
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logging.basicConfig(
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level=logging.INFO, format="Validation: %(asctime)s - %(message)s")
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args = parse_args()
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if args.is_static:
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import paddle
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paddle.enable_static()
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from static.validation import validation
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else:
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from dynamic.validation import validation
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validation(args)
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