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export.py
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export.py
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# Copyright 2022 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, mindir models#################
python export.py
"""
import os
import numpy as np
import mindspore as ms
from mindspore import Tensor, load_checkpoint, load_param_into_net, export, context
from model_utils.config import config
from yolox.model.yolox import DetectionBlock
def run_export():
"""
Export the MINDIR file
Returns:None
"""
context.set_context(mode=context.GRAPH_MODE, device_target=config.device_target)
if config.device_target == "Ascend":
device_id = int(os.getenv('DEVICE_ID', '0'))
context.set_context(device_id=device_id)
if config.backbone == "yolox_darknet53":
backbone = "yolofpn"
else:
backbone = "yolopafpn"
network = DetectionBlock(config, backbone=backbone) # default yolo-darknet53
network.set_train(False)
assert config.val_ckpt is not None, "config.ckpt_file is None."
param_dict = load_checkpoint(config.val_ckpt)
load_param_into_net(network, param_dict)
input_arr = Tensor(np.ones([config.export_bs, 3, config.input_size[0], config.input_size[1]]), ms.float32)
file_name = backbone
export(network, input_arr, file_name='bytetrack', file_format=config.file_format)
if __name__ == '__main__':
run_export()