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- # Copyright 2021 Huawei Technologies Co., Ltd
- #
- # Licensed under the Apache License, Version 2.0 (the "License");
- # you may not use this file except in compliance with the License.
- # You may obtain a copy of the License at
- #
- # http://www.apache.org/licenses/LICENSE-2.0
- #
- # Unless required by applicable law or agreed to in writing, software
- # distributed under the License is distributed on an "AS IS" BASIS,
- # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- # See the License for the specific language governing permissions and
- # limitations under the License.
- # ============================================================================
- """
- FaceBoxes export mindir.
- """
- import argparse
- import numpy as np
- from mindspore import context, Tensor, load_checkpoint, load_param_into_net, export
- from src.config import faceboxes_config
- from src.network import FaceBoxes
-
-
- parser = argparse.ArgumentParser(description='FaceBoxes')
- parser.add_argument('--checkpoint_path', type=str, required=True, help='Checkpoint file path')
- parser.add_argument('--device_target', type=str, default="Ascend", help='run device_target')
- args_opt = parser.parse_args()
-
-
- if __name__ == '__main__':
- cfg = None
- if args_opt.device_target == "Ascend":
- cfg = faceboxes_config
- context.set_context(mode=context.GRAPH_MODE, device_target="Ascend")
- else:
- raise ValueError("Unsupported device_target.")
-
- net = FaceBoxes(phase='test')
- param_dict = load_checkpoint(args_opt.checkpoint_path)
- load_param_into_net(net, param_dict)
- input_shp = [1, 3, cfg['image_size'][0], cfg['image_size'][1]]
- input_array = Tensor(np.random.uniform(-1.0, 1.0, size=input_shp).astype(np.float32))
- export(net, input_array, file_name='FaceBoxes', file_format='MINDIR')
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