forked from mindspore-Ecosystem/mindspore
!7042 fasterrcnn add export air file
Merge pull request !7042 from linqingke/fasterrcnn
This commit is contained in:
commit
fa24b35043
|
@ -0,0 +1,42 @@
|
||||||
|
# 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")
|
Loading…
Reference in New Issue