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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 checkpoint file into air models"""
- import argparse
- import numpy as np
-
- import mindspore as ms
- from mindspore import Tensor
- from mindspore.train.serialization import load_checkpoint, load_param_into_net, export
-
- from src.FasterRcnn.faster_rcnn_r50 import Faster_Rcnn_Resnet50
- from src.config import config
-
- if __name__ == '__main__':
- parser = argparse.ArgumentParser(description='fasterrcnn_export')
- parser.add_argument('--ckpt_file', type=str, default='', help='fasterrcnn ckpt file.')
- parser.add_argument('--output_file', type=str, default='', help='fasterrcnn output air name.')
- args_opt = parser.parse_args()
-
- net = Faster_Rcnn_Resnet50(config=config)
-
- param_dict = load_checkpoint(args_opt.ckpt_file)
- load_param_into_net(net, param_dict)
-
- img = Tensor(np.random.uniform(0.0, 1.0, size=[1, 3, 768, 1280]), ms.float16)
- img_shape = Tensor(np.random.uniform(0.0, 1.0, size=[768, 1280, 1]), ms.float16)
- gt_bboxes = Tensor(np.random.uniform(0.0, 1.0, size=[1, 128]), ms.float16)
- gt_label = Tensor(np.random.uniform(0.0, 1.0, size=[1, 128]), ms.int32)
- gt_num = Tensor(np.random.uniform(0.0, 1.0, size=[1, 128]), ms.bool)
- export(net, img, img_shape, gt_bboxes, gt_label, gt_num, file_name=args_opt.output_file, file_format="AIR")
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