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Tensorflow对象检测API变量在检查点中不可用_Tensorflow_Object Detection_Transfer Learning - Fatal编程技术网
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Tensorflow对象检测API变量在检查点中不可用

tensorflow

Tensorflow对象检测API变量在检查点中不可用,tensorflow,object-detection,transfer-learning,Tensorflow,Object Detection,Transfer Learning,我试图从中重新训练对象检测模型，但是我得到了一个在检查点中找不到的变量列表（请参阅下面列表中的一些警告） 我正在使用： Tensoflow版本：1.15.2 视窗10 Python 3.6.10 我正在使用的配置文件是带有预先训练模型的zip文件中的配置文件，我唯一更改的是检测到的类的数量和路径 我尝试了多种模型，但每次都遇到同样的问题 转移学习是有效的，但我想我没有使用大量预先训练的权重是什么原因造成的？ 警告: W0215 22:04:03.197386 5668 variable

我试图从中重新训练对象检测模型，但是我得到了一个在检查点中找不到的变量列表（请参阅下面列表中的一些警告）

我正在使用：

  • Tensoflow版本：1.15.2
  • 视窗10
  • Python 3.6.10
我正在使用的配置文件是带有预先训练模型的zip文件中的配置文件，我唯一更改的是检测到的类的数量和路径

我尝试了多种模型，但每次都遇到同样的问题

转移学习是有效的，但我想我没有使用大量预先训练的权重是什么原因造成的？

警告:

W0215 22:04:03.197386  5668 variables_helper.py:157] Variable [FeatureExtractor/MobilenetV1/Conv2d_0/BatchNorm/beta/ExponentialMovingAverage] is not available in checkpoint
W0215 22:04:03.197386  5668 variables_helper.py:157] Variable [FeatureExtractor/MobilenetV1/Conv2d_0/BatchNorm/beta/RMSProp] is not available in checkpoint
W0215 22:04:03.197386  5668 variables_helper.py:157] Variable [FeatureExtractor/MobilenetV1/Conv2d_0/BatchNorm/beta/RMSProp_1] is not available in checkpoint
W0215 22:04:03.197386  5668 variables_helper.py:157] Variable [FeatureExtractor/MobilenetV1/Conv2d_0/BatchNorm/gamma/ExponentialMovingAverage] is not available in checkpoint
W0215 22:04:03.197386  5668 variables_helper.py:157] Variable [FeatureExtractor/MobilenetV1/Conv2d_0/BatchNorm/gamma/RMSProp] is not available in checkpoint
W0215 22:04:03.197386  5668 variables_helper.py:157] Variable [FeatureExtractor/MobilenetV1/Conv2d_0/BatchNorm/gamma/RMSProp_1] is not available in checkpoint
W0215 22:04:03.198379  5668 variables_helper.py:157] Variable [FeatureExtractor/MobilenetV1/Conv2d_0/weights/ExponentialMovingAverage] is not available in checkpoint
W0215 22:04:03.198379  5668 variables_helper.py:157] Variable [FeatureExtractor/MobilenetV1/Conv2d_0/weights/RMSProp] is not available in checkpoint
W0215 22:04:03.198379  5668 variables_helper.py:157] Variable [FeatureExtractor/MobilenetV1/Conv2d_0/weights/RMSProp_1] is not available in checkpoint
W0215 22:04:03.198379  5668 variables_helper.py:157] Variable [FeatureExtractor/MobilenetV1/Conv2d_10_depthwise/BatchNorm/beta/ExponentialMovingAverage] is not available in checkpoint
W0215 22:04:03.198379  5668 variables_helper.py:157] Variable [FeatureExtractor/MobilenetV1/Conv2d_10_depthwise/BatchNorm/beta/RMSProp] is not available in checkpoint
W0215 22:04:03.198379  5668 variables_helper.py:157] Variable [FeatureExtractor/MobilenetV1/Conv2d_10_depthwise/BatchNorm/beta/RMSProp_1] is not available in checkpoint
W0215 22:04:03.198379  5668 variables_helper.py:157] Variable [FeatureExtractor/MobilenetV1/Conv2d_10_depthwise/BatchNorm/gamma/ExponentialMovingAverage] is not available in checkpoint
W0215 22:04:03.198379  5668 variables_helper.py:157] Variable [FeatureExtractor/MobilenetV1/Conv2d_10_depthwise/BatchNorm/gamma/RMSProp] is not available in checkpoint
W0215 22:04:03.198379  5668 variables_helper.py:157] Variable [FeatureExtractor/MobilenetV1/Conv2d_10_depthwise/BatchNorm/gamma/RMSProp_1] is not available in checkpoint
W0215 22:04:03.198379  5668 variables_helper.py:157] Variable [FeatureExtractor/MobilenetV1/Conv2d_10_depthwise/depthwise_weights/ExponentialMovingAverage] is not available in checkpoint
W0215 22:04:03.198379  5668 variables_helper.py:157] Variable [FeatureExtractor/MobilenetV1/Conv2d_10_depthwise/depthwise_weights/RMSProp] is not available in checkpoint
W0215 22:04:03.198379  5668 variables_helper.py:157] Variable [FeatureExtractor/MobilenetV1/Conv2d_10_depthwise/depthwise_weights/RMSProp_1] is not available in checkpoint
W0215 22:04:03.199381  5668 variables_helper.py:157] Variable [FeatureExtractor/MobilenetV1/Conv2d_10_pointwise/BatchNorm/beta/ExponentialMovingAverage] is not available in checkpoint
W0215 22:04:03.199381  5668 variables_helper.py:157] Variable [FeatureExtractor/MobilenetV1/Conv2d_10_pointwise/BatchNorm/beta/RMSProp] is not available in checkpoint
W0215 22:04:03.199381  5668 variables_helper.py:157] Variable [FeatureExtractor/MobilenetV1/Conv2d_10_pointwise/BatchNorm/beta/RMSProp_1] is not available in checkpoint
W0215 22:04:03.199381  5668 variables_helper.py:157] Variable [FeatureExtractor/MobilenetV1/Conv2d_10_pointwise/BatchNorm/gamma/ExponentialMovingAverage] is not available in checkpoint
W0215 22:04:03.199381  5668 variables_helper.py:157] Variable [FeatureExtractor/MobilenetV1/Conv2d_10_pointwise/BatchNorm/gamma/RMSProp] is not available in checkpoint
W0215 22:04:03.199381  5668 variables_helper.py:157] Variable [FeatureExtractor/MobilenetV1/Conv2d_10_pointwise/BatchNorm/gamma/RMSProp_1] is not available in checkpoint
不确定这是否仍然相关，但我也遇到了这个问题，看起来这可能是一个显示错误，正如模型repo的一个贡献者所说的那样

无论基本模型是什么，这个错误都会发生，因为我们使用预训练模型来训练ssd。如果我们随机初始化ssd模型，这不会发生。而且，训练时它会比随机初始化使用更多的cpu。（大约55%的cpu使用，而不是45%）

不确定这是否仍然相关，但我也遇到了这个问题，看起来这可能是一个显示错误，正如模型repo的一个贡献者所说的那样

无论基本模型是什么，这个错误都会发生，因为我们使用预训练模型来训练ssd。如果我们随机初始化ssd模型，这不会发生。而且，训练时它会比随机初始化使用更多的cpu。（大约55%的cpu使用，而不是45%）