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!7042 fasterrcnn add export air file 

Merge pull request !7042 from linqingke/fasterrcnn
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mindspore-ci-bot 2020-10-09 14:31:16 +08:00 committed by Gitee
parent 4392910608 95c66d25eb
commit fa24b35043
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model_zoo/official/cv/faster_rcnn/export.py Normal file
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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")