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- # Copyright 2020 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.
- # ============================================================================
- """export"""
-
- import argparse
- import numpy as np
- from mindspore import Tensor
- from mindspore import context
- from mindspore.train.serialization import load_checkpoint, load_param_into_net, export
-
- from src.openposenet import OpenPoseNet
-
- parser = argparse.ArgumentParser(description='checkpoint export')
- parser.add_argument('--checkpoint_path', type=str, default=None, help='Checkpoint file path')
- args_opt = parser.parse_args()
-
- if __name__ == '__main__':
- context.set_context(mode=context.GRAPH_MODE, save_graphs=False)
- # define net
- net = OpenPoseNet()
-
- # load checkpoint
- param_dict = load_checkpoint(args_opt.checkpoint_path)
- load_param_into_net(net, param_dict)
- inputs = np.random.uniform(0.0, 1.0, size=[1, 3, 368, 368]).astype(np.float32)
- export(net, Tensor(inputs), file_name="openpose.air", file_format='AIR')
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