我跑步时
from keras_vggface.vggface import VGGFace
# Based on VGG16 architecture -> old paper(2015)
vggface = VGGFace(model='vgg16') # or VGGFace() as default
# Based on RESNET50 architecture -> new paper(2017)
vggface = VGGFace(model='resnet50')
# Based on SENET50 architecture -> new paper(2017)
vggface = VGGFace(model='senet50')
在instructions中。
我收到此错误
ImportError:无法导入名称“ _obtain_input_shape”
在安装keras_vggface时遵循instructions。这是我的包裹的清单信息。
# packages in environment at /Users/lzq/anaconda3/envs/py36_faceRec:
#
# Name Version Build Channel
bleach 1.5.0 <pip>
ca-certificates 2018.03.07 0
certifi 2018.10.15 py36_0
enum34 1.1.6 <pip>
h5py 2.8.0 <pip>
html5lib 0.9999999 <pip>
Keras 2.1.1 <pip>
keras-vggface 0.5 <pip>
libcxx 4.0.1 hcfea43d_1
libcxxabi 4.0.1 hcfea43d_1
libedit 3.1.20170329 hb402a30_2
libffi 3.2.1 h475c297_4
Markdown 3.0.1 <pip>
ncurses 6.1 h0a44026_0
numpy 1.15.4 <pip>
openssl 1.1.1 h1de35cc_0
Pillow 5.3.0 <pip>
pip 18.1 py36_0
protobuf 3.6.1 <pip>
python 3.6.7 haf84260_0
PyYAML 3.13 <pip>
readline 7.0 h1de35cc_5
scipy 1.1.0 <pip>
setuptools 40.5.0 py36_0
six 1.11.0 <pip>
sqlite 3.25.2 ha441bb4_0
tensorflow 1.4.0 <pip>
tensorflow-tensorboard 0.4.0 <pip>
tk 8.6.8 ha441bb4_0
Werkzeug 0.14.1 <pip>
wheel 0.32.2 py36_0
xz 5.2.4 h1de35cc_4
zlib 1.2.11 hf3cbc9b_2
答案 0 :(得分:1)
您使用的VGGFace
软件包是为较旧版本的Keras配置的。最简单的解决方案是编辑keras-vggface/keras_vggface/models.py
目录中的vvgface
文件,并将第15行更改为:
from keras.applications.imagenet_utils import _obtain_input_shape
到
from keras_applications.imagenet_utils import _obtain_input_shape
或者,如果发现更简单,也可以将Keras降级到2.2.0