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170718 Keras.applications.models权重在线加载中断问题的解决办法


170718 Keras.applications.models权重在线加载中断问题的解决办法_h5

由于网速慢或网络中断原因导致keras加载vgg16等模型权重失败,
导致无法使用,对于这个问题的直接解决方法是:删掉下载文件,再重新下载

Github方法:

170718 Keras.applications.models权重在线加载中断问题的解决办法_github_02


Windows-weights路径

C:\Users\你的用户名\.keras\models

Linux-weights路径

.keras/models/
注意: linux中 带点号的文件都被隐藏了,需要查看hidden文件才能显示

Keras-Github-教程
https://github.com/fchollet/deep-learning-models
原始权重下载地址
https://github.com/fchollet/deep-learning-models/releases
tf模型权重百度云下载地址
http://pan.baidu.com/s/1dE9giOD

VGG16:

WEIGHTS_PATH =
‘https://github.com/fchollet/deep-learning-models/releases/download/v0.1/vgg16_weights_tf_dim_ordering_tf_kernels.h5’
WEIGHTS_PATH_NO_TOP =
‘https://github.com/fchollet/deep-learning-models/releases/download/v0.1/vgg16_weights_tf_dim_ordering_tf_kernels_notop.h5’

VGG19:

TF_WEIGHTS_PATH =
‘https://github.com/fchollet/deep-learning-models/releases/download/v0.4/xception_weights_tf_dim_ordering_tf_kernels.h5’
TF_WEIGHTS_PATH_NO_TOP =
‘https://github.com/fchollet/deep-learning-models/releases/download/v0.4/xception_weights_tf_dim_ordering_tf_kernels_notop.h5’

RESNET50:

WEIGHTS_PATH =
‘https://github.com/fchollet/deep-learning-models/releases/download/v0.2/resnet50_weights_tf_dim_ordering_tf_kernels.h5’
WEIGHTS_PATH_NO_TOP =
‘https://github.com/fchollet/deep-learning-models/releases/download/v0.2/resnet50_weights_tf_dim_ordering_tf_kernels_notop.h5’

INCEPTIONS_V3:

WEIGHTS_PATH =
‘https://github.com/fchollet/deep-learning-models/releases/download/v0.5/inception_v3_weights_tf_dim_ordering_tf_kernels.h5’
WEIGHTS_PATH_NO_TOP =
‘https://github.com/fchollet/deep-learning-models/releases/download/v0.5/inception_v3_weights_tf_dim_ordering_tf_kernels_notop.h5’

XCEPTION:

TF_WEIGHTS_PATH =
‘https://github.com/fchollet/deep-learning-models/releases/download/v0.4/xception_weights_tf_dim_ordering_tf_kernels.h5’
TF_WEIGHTS_PATH_NO_TOP =
‘https://github.com/fchollet/deep-learning-models/releases/download/v0.4/xception_weights_tf_dim_ordering_tf_kernels_notop.h5’


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