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70 lines
2.3 KiB
Python
70 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 os
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import argparse
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import numpy as np
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import cv2
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import paddle
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import backbones
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def read_img(img_path=None):
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if img_path is None:
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img = np.random.randint(0, 255, size=(112, 112, 3), dtype=np.uint8)
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else:
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img = cv2.imread(img_path)
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img = cv2.resize(img, (112, 112))
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img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
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scale = 1. / 255.
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mean = [0.5, 0.5, 0.5]
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std = [0.5, 0.5, 0.5]
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mean = np.array(mean).reshape((1, 1, 3)).astype('float32')
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std = np.array(std).reshape((1, 1, 3)).astype('float32')
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img = (img.astype('float32') * scale - mean) / std
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img = img.transpose((2, 0, 1))
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img = np.expand_dims(img, 0)
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return img
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def main(args):
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backbone = eval("backbones.{}".format(args.network))()
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model_params = args.network + '.pdparams'
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print('INFO:' + args.network + ' chose! ' + model_params + ' loaded!')
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state_dict = paddle.load(os.path.join(args.checkpoint, model_params))
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backbone.set_state_dict(state_dict)
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backbone.eval()
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img = read_img(args.img)
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input_tensor = paddle.to_tensor(img)
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feat = backbone(input_tensor).numpy()
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return feat
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if __name__ == '__main__':
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parser = argparse.ArgumentParser(description='Paddle ArcFace Testing')
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parser.add_argument(
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'--network',
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type=str,
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default='MobileFaceNet_128',
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help='backbone network')
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parser.add_argument(
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'--img', type=str, default='None', help='backbone network')
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parser.add_argument(
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'--checkpoint',
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type=str,
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default='emore_arcface',
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help='checkpoint dir')
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args = parser.parse_args()
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main(args)
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