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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.
- # ============================================================================
- """
- ssd export mindir.
- """
- import argparse
- import numpy as np
- from mindspore import context, Tensor
- from mindspore.train.serialization import load_checkpoint, load_param_into_net, export
- from src.ssd import SSD300, ssd_mobilenet_v2
- from src.config import config
-
- def get_export_args():
- parser = argparse.ArgumentParser(description='SSD export')
- parser.add_argument("--checkpoint_path", type=str, required=True, help="Checkpoint file path.")
- parser.add_argument("--run_platform", type=str, default="Ascend", choices=("Ascend", "GPU", "CPU"),
- help="run platform, support Ascend, GPU and CPU.")
- return parser.parse_args()
-
- if __name__ == '__main__':
- args_opt = get_export_args()
- context.set_context(mode=context.GRAPH_MODE, device_target=args_opt.run_platform)
- net = SSD300(ssd_mobilenet_v2(), config, is_training=False)
-
- param_dict = load_checkpoint(args_opt.checkpoint_path)
- load_param_into_net(net, param_dict)
- input_shp = [1, 3] + config.img_shape
- input_array = Tensor(np.random.uniform(-1.0, 1.0, size=input_shp).astype(np.float32))
- export(net, input_array, file_name=config.export_file, file_format=config.export_format)
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