mirror of
https://github.com/deepinsight/insightface.git
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59 lines
1.8 KiB
Python
59 lines
1.8 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 errno
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import os
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import numpy as np
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import paddle
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from .utils.verification import CallBackVerification
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from .utils.io import Checkpoint
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from .static_model import StaticModel
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from . import backbones
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def validation(args):
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checkpoint = Checkpoint(
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rank=0,
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world_size=1,
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embedding_size=args.embedding_size,
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num_classes=None,
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checkpoint_dir=args.checkpoint_dir, )
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test_program = paddle.static.Program()
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startup_program = paddle.static.Program()
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test_model = StaticModel(
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main_program=test_program,
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startup_program=startup_program,
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backbone_class_name=args.backbone,
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embedding_size=args.embedding_size,
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mode='test', )
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gpu_id = int(os.getenv("FLAGS_selected_gpus", 0))
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place = paddle.CUDAPlace(gpu_id)
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exe = paddle.static.Executor(place)
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exe.run(startup_program)
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checkpoint.load(program=test_program, for_train=False)
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callback_verification = CallBackVerification(
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1, 0, args.batch_size, test_program,
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list(test_model.backbone.input_dict.values()),
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list(test_model.backbone.output_dict.values()), args.val_targets,
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args.data_dir)
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callback_verification(1)
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