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- # Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved.
- #
- # 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.
-
- import argparse
- import os
-
- import paddle
-
- from paddleseg.cvlibs import manager, Config
- from paddleseg.core import evaluate
- from paddleseg.utils import get_sys_env, logger, config_check, utils
-
-
- def parse_args():
- parser = argparse.ArgumentParser(description='Model evaluation')
-
- # params of evaluate
- parser.add_argument(
- "--config", dest="cfg", help="The config file.", default=None, type=str)
- parser.add_argument(
- '--model_path',
- dest='model_path',
- help='The path of model for evaluation',
- type=str,
- default=None)
- parser.add_argument(
- '--num_workers',
- dest='num_workers',
- help='Num workers for data loader',
- type=int,
- default=0)
-
- # augment for evaluation
- parser.add_argument(
- '--aug_eval',
- dest='aug_eval',
- help='Whether to use mulit-scales and flip augment for evaluation',
- action='store_true')
- parser.add_argument(
- '--scales',
- dest='scales',
- nargs='+',
- help='Scales for augment',
- type=float,
- default=1.0)
- parser.add_argument(
- '--flip_horizontal',
- dest='flip_horizontal',
- help='Whether to use flip horizontally augment',
- action='store_true')
- parser.add_argument(
- '--flip_vertical',
- dest='flip_vertical',
- help='Whether to use flip vertically augment',
- action='store_true')
-
- # sliding window evaluation
- parser.add_argument(
- '--is_slide',
- dest='is_slide',
- help='Whether to evaluate by sliding window',
- action='store_true')
- parser.add_argument(
- '--crop_size',
- dest='crop_size',
- nargs=2,
- help=
- 'The crop size of sliding window, the first is width and the second is height.',
- type=int,
- default=None)
- parser.add_argument(
- '--stride',
- dest='stride',
- nargs=2,
- help=
- 'The stride of sliding window, the first is width and the second is height.',
- type=int,
- default=None)
-
- return parser.parse_args()
-
-
- def main(args):
- env_info = get_sys_env()
- place = 'gpu' if env_info['Paddle compiled with cuda'] and env_info[
- 'GPUs used'] else 'cpu'
-
- paddle.set_device(place)
- if not args.cfg:
- raise RuntimeError('No configuration file specified.')
-
- cfg = Config(args.cfg)
- val_dataset = cfg.val_dataset
- if val_dataset is None:
- raise RuntimeError(
- 'The verification dataset is not specified in the configuration file.'
- )
- elif len(val_dataset) == 0:
- raise ValueError(
- 'The length of val_dataset is 0. Please check if your dataset is valid'
- )
-
- msg = '\n---------------Config Information---------------\n'
- msg += str(cfg)
- msg += '------------------------------------------------'
- logger.info(msg)
-
- model = cfg.model
- if args.model_path:
- utils.load_entire_model(model, args.model_path)
- logger.info('Loaded trained params of model successfully')
-
- config_check(cfg, val_dataset=val_dataset)
-
- evaluate(
- model,
- val_dataset,
- aug_eval=args.aug_eval,
- scales=args.scales,
- flip_horizontal=args.flip_horizontal,
- flip_vertical=args.flip_vertical,
- is_slide=args.is_slide,
- crop_size=args.crop_size,
- stride=args.stride,
- num_workers=args.num_workers,
- )
-
-
- if __name__ == '__main__':
- args = parse_args()
- main(args)
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