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View Code? Open in Web Editor NEWOCR 基于 Keras
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kapitsa2811 wjinhai jhaiwang sparklingzhao appletree123123 luwuming v-smwang 12345fengce simplew2011crnn_kreas's Issues
在批量predict时显存上涨，最后OOM问题的解决思路
原因：keras.backend.get_value函数会添加新的节点到tf的图中；在每次循环图片预测时导致了tf的图越来越大，内存泄露。
参照：
https://blog.csdn.net/mingshili/article/details/81941677
修改predict.py里的CTC解码部分，可解决。
每次重置session会打印tensorflow信息，比较难看，通过在predict.py开头添加下面关闭控制台输出的tensorflow信息：
import os
os.environ['TF_CPP_MIN_LOG_LEVEL']='2'
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