PaddleOCR/ppocr/modeling/losses/rec_ctc_loss.py

37 lines
1.2 KiB
Python
Executable File

#copyright (c) 2019 PaddlePaddle Authors. All Rights Reserve.
#
#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
import math
import paddle
import paddle.fluid as fluid
class CTCLoss(object):
def __init__(self, params):
super(CTCLoss, self).__init__()
self.char_num = params['char_num']
def __call__(self, predicts, labels):
predict = predicts['predict']
label = labels['label']
cost = fluid.layers.warpctc(
input=predict, label=label, blank=self.char_num, norm_by_times=True)
sum_cost = fluid.layers.reduce_sum(cost)
return sum_cost