mindspore/model_zoo/official/cv/ssd/export.py

# 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)