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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.utils import get_sys_env, logger, get_image_list
- from core import predict
- from datasets import tusimple
-
-
- def parse_args():
- parser = argparse.ArgumentParser(description='Model prediction')
-
- # params of prediction
- 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 prediction',
- type=str,
- default=None)
- parser.add_argument(
- '--image_path',
- dest='image_path',
- help='The path of image, it can be a file or a directory including images',
- type=str,
- default=None)
- parser.add_argument(
- '--save_dir',
- dest='save_dir',
- help='The directory for saving the predicted results',
- type=str,
- default='./output/result')
-
- # custom color map
- parser.add_argument(
- '--custom_color',
- dest='custom_color',
- nargs='+',
- help='Save images with a custom color map. Default: None, use paddleseg\'s default color map.',
- type=int,
- default=None)
- return parser.parse_args()
-
-
- def get_test_config(cfg, args):
-
- test_config = cfg.test_config
- if args.custom_color:
- test_config['custom_color'] = args.custom_color
-
- return test_config
-
-
- 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)
- cfg.check_sync_info()
- val_dataset = cfg.val_dataset
- if not val_dataset:
- raise RuntimeError(
- 'The verification dataset is not specified in the configuration file.'
- )
-
- msg = '\n---------------Config Information---------------\n'
- msg += str(cfg)
- msg += '------------------------------------------------'
- logger.info(msg)
-
- model = cfg.model
- image_list, image_dir = get_image_list(args.image_path)
- logger.info('Number of predict images = {}'.format(len(image_list)))
-
- test_config = get_test_config(cfg, args)
-
- predict(
- model,
- model_path=args.model_path,
- val_dataset=val_dataset,
- image_list=image_list,
- image_dir=image_dir,
- save_dir=args.save_dir,
- **test_config)
-
-
- if __name__ == '__main__':
- args = parse_args()
- main(args)
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