eval.py 2.4 KB
Newer Older
L
LDOUBLEV 已提交
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18
# 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.

from __future__ import absolute_import
from __future__ import division
from __future__ import print_function

L
LDOUBLEV 已提交
19 20
import os
import sys
W
WenmuZhou 已提交
21

22
__dir__ = os.path.dirname(os.path.abspath(__file__))
L
LDOUBLEV 已提交
23
sys.path.append(__dir__)
24
sys.path.append(os.path.abspath(os.path.join(__dir__, '..')))
L
LDOUBLEV 已提交
25

W
WenmuZhou 已提交
26
from ppocr.data import build_dataloader
W
WenmuZhou 已提交
27
from ppocr.modeling.architectures import build_model
W
WenmuZhou 已提交
28 29 30 31 32
from ppocr.postprocess import build_post_process
from ppocr.metrics import build_metric
from ppocr.utils.save_load import init_model
from ppocr.utils.utility import print_dict
import tools.program as program
L
LDOUBLEV 已提交
33 34


W
WenmuZhou 已提交
35 36 37
def main():
    global_config = config['Global']
    # build dataloader
W
WenmuZhou 已提交
38
    valid_dataloader = build_dataloader(config, 'Eval', device, logger)
L
LDOUBLEV 已提交
39

W
WenmuZhou 已提交
40 41 42
    # build post process
    post_process_class = build_post_process(config['PostProcess'],
                                            global_config)
L
LDOUBLEV 已提交
43

W
WenmuZhou 已提交
44 45 46 47 48 49
    # build model
    # for rec algorithm
    if hasattr(post_process_class, 'character'):
        config['Architecture']["Head"]['out_channels'] = len(
            getattr(post_process_class, 'character'))
    model = build_model(config['Architecture'])
T
tink2123 已提交
50
    use_srn = config['Architecture']['algorithm'] == "SRN"
L
LDOUBLEV 已提交
51

W
WenmuZhou 已提交
52 53 54 55 56
    best_model_dict = init_model(config, model, logger)
    if len(best_model_dict):
        logger.info('metric in ckpt ***************')
        for k, v in best_model_dict.items():
            logger.info('{}:{}'.format(k, v))
L
LDOUBLEV 已提交
57

W
WenmuZhou 已提交
58 59
    # build metric
    eval_class = build_metric(config['Metric'])
L
LDOUBLEV 已提交
60

W
WenmuZhou 已提交
61
    # start eval
W
WenmuZhou 已提交
62
    metirc = program.eval(model, valid_dataloader, post_process_class,
T
tink2123 已提交
63
                          eval_class, use_srn)
W
WenmuZhou 已提交
64 65 66
    logger.info('metric eval ***************')
    for k, v in metirc.items():
        logger.info('{}:{}'.format(k, v))
L
LDOUBLEV 已提交
67 68 69


if __name__ == '__main__':
W
WenmuZhou 已提交
70
    config, device, logger, vdl_writer = program.preprocess()
L
LDOUBLEV 已提交
71
    main()