W tensorflow/core/util/ctc/ctc_loss_calculator.cc:144] No valid path found 或 loss:inf的解决方案
2019-10-30 16:49
1576 查看
基于Tensorflow和Keras实现端到端的不定长中文字符检测和识别(文本检测:CTPN,文本识别:DenseNet + CTC),在使用自己的数据训练这个模型的过程中,出现如下错误,由于问题已经解决,当时的出现的问题又没有截图保存,错误又不好复现,所以只能在网上找一张截图下来。
经过查找相关资料,都是说CTC在计算loss时要求输入序列长度不小于标签长度,但是不太懂这句话啥意思。
最终在https://github.com/YCG09/chinese_ocr/issues/15这个链接下和下面这个图片发现了灵感,错误的原因就是训练数据集的label的长度太长了,导致出现loss:inf错误
解决方法:首先在/train/train.py文件下改下这行代码(不一定需要和下方对应)
maxlabellength = 10
然后自己把训练数据集里面label长度大于10的数据删掉(有可能不一定都是10,主要是我这个数据集把label长度大于10的数据删掉对整个数据集影响不大)。这样就不会报错了,如下所示。
如此,问题成功解决。
相关文章推荐
- 【精华篇】redhat5.5 中安装gcc(即configure:error:no acceptable cc found in $PATH的解决方案)
- PYCHARM下用OPENCV 识别人脸测试中报错- F tensorflow/core/platform/cpu_feature_guard.cc:37] The TensorFlow librar
- No matching distribution found for tensorflow
- configure: error: no acceptable cc found in $PATH
- 2019-05-16 09:41:32.289878: I tensorflow/core/common_runtime/bfc_allocator.cc:632] Chunk at 0x7f178c
- F ./tensorflow/core/util/cuda_launch_config.h:127] Check failed: work_element_count > 0 (0 vs. 0)
- configure: error: no acceptable cc found in $PATH
- callBackName cannot be found&fullPathForFilename: No file found at replay.png. 解决方案
- cocos2d: fullPathForFilename: No file found at /cc_2x2_white_image. Possible missing file.
- No matching distribution found for tensorflow 错误解决
- configure: error: no acceptable cc found in $PATH
- 解决 ImportError: No module named 'tensorflow.core'
- configure: error: no acceptable cc found in $PATH
- tensorflow/tensorboard(可视化) 遇到“No graph definition files were found.” 错误
- configure: error: no acceptable cc found in $PATH
- CentOS5.8上安装PHP软件提示“configure:error:no acceptable cc found in $path”
- tensorflow运维(2):tensorboard:No scalar data was found,没有发现常量数据
- META-INF/spring.factories中找不到自动配置类,No auto configuration classes found in META-INF/spring.factories.
- intel_rapl: no valid rapl domains found in package 0 virtualbox ubuntu
- android开发出现No Launcher activity found!解决方案