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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, utils
-
-
- def get_test_config(cfg, args):
-
- test_config = cfg.test_config
- if args.aug_eval:
- test_config['aug_eval'] = args.aug_eval
- test_config['scales'] = args.scales
- test_config['flip_horizontal'] = args.flip_horizontal
- test_config['flip_vertical'] = args.flip_vertical
-
- if args.is_slide:
- test_config['is_slide'] = args.is_slide
- test_config['crop_size'] = args.crop_size
- test_config['stride'] = args.stride
-
- return test_config
-
-
- 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(
- '--opts',
- help='Update the key-value pairs of all options.',
- default=None,
- nargs='+')
- 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='Number of 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)
-
- parser.add_argument(
- '--data_format',
- dest='data_format',
- help='Data format that specifies the layout of input. It can be "NCHW" or "NHWC". Default: "NCHW".',
- type=str,
- default='NCHW')
-
- parser.add_argument(
- '--auc_roc',
- dest='add auc_roc metric',
- help='Whether to use auc_roc metric.',
- type=bool,
- default=False)
-
- parser.add_argument(
- '--device',
- dest='device',
- help='Device place to be set, which can be gpu, xpu, npu, mlu or cpu.',
- default='gpu',
- choices=['cpu', 'gpu', 'xpu', 'npu'],
- type=str)
-
- return parser.parse_args()
-
-
- def main(args):
- env_info = get_sys_env()
-
- if args.device == 'gpu' and env_info[
- 'Paddle compiled with cuda'] and env_info['GPUs used']:
- place = 'gpu'
- elif args.device == 'xpu' and paddle.is_compiled_with_xpu():
- place = 'xpu'
- elif args.device == 'npu' and paddle.is_compiled_with_custom_device('npu'):
- place = 'npu'
- elif args.device == 'mlu' and paddle.is_compiled_with_mlu():
- place = 'mlu'
- else:
- place = 'cpu'
-
- paddle.set_device(place)
- if not args.cfg:
- raise RuntimeError('No configuration file specified.')
-
- cfg = Config(args.cfg, opts=args.opts)
- cfg.check_sync_info()
-
- # Only support for the DeepLabv3+ model
- if args.data_format == 'NHWC':
- if cfg.dic['model']['type'] != 'DeepLabV3P':
- raise ValueError(
- 'The "NHWC" data format only support the DeepLabV3P model!')
- cfg.dic['model']['data_format'] = args.data_format
- cfg.dic['model']['backbone']['data_format'] = args.data_format
- loss_len = len(cfg.dic['loss']['types'])
- for i in range(loss_len):
- cfg.dic['loss']['types'][i]['data_format'] = args.data_format
-
- 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')
-
- test_config = get_test_config(cfg, args)
-
- evaluate(model, val_dataset, num_workers=args.num_workers, **test_config)
-
- logger.warning("This `val.py` will be removed in version 2.8, "
- "please use `tools/val.py`.")
-
-
- if __name__ == '__main__':
- args = parse_args()
- main(args)
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