|
- # Copyright 2021 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.
- # ============================================================================
-
- """Evaluation for CTPN"""
- import argparse
- from mindspore import context
- from mindspore.train.serialization import load_checkpoint, load_param_into_net
- from mindspore.common import set_seed
- from src.ctpn import CTPN
- from src.config import config
- from src.dataset import create_ctpn_dataset
- from src.eval_utils import eval_for_ctpn
- set_seed(1)
-
- parser = argparse.ArgumentParser(description="CTPN evaluation")
- parser.add_argument("--dataset_path", type=str, default="", help="Dataset path.")
- parser.add_argument("--image_path", type=str, default="", help="Image path.")
- parser.add_argument("--checkpoint_path", type=str, default="", help="Checkpoint file path.")
- parser.add_argument("--device_id", type=int, default=0, help="Device id, default is 0.")
- args_opt = parser.parse_args()
- context.set_context(mode=context.GRAPH_MODE, device_target="Ascend", device_id=args_opt.device_id)
-
- def ctpn_infer_test(dataset_path='', ckpt_path='', img_dir=''):
- """ctpn infer."""
- print("ckpt path is {}".format(ckpt_path))
- ds = create_ctpn_dataset(dataset_path, batch_size=config.test_batch_size, repeat_num=1, is_training=False)
- total = ds.get_dataset_size()
- print("eval dataset size is {}".format(total))
- net = CTPN(config, batch_size=config.test_batch_size, is_training=False)
- param_dict = load_checkpoint(ckpt_path)
- load_param_into_net(net, param_dict)
- net.set_train(False)
- eval_for_ctpn(net, ds, img_dir)
-
- if __name__ == '__main__':
- ctpn_infer_test(args_opt.dataset_path, args_opt.checkpoint_path, img_dir=args_opt.image_path)
|
