python - AttributeError：无法导入 keras 和分割模型
问题描述
我正在尝试导入分割模型和 keras，但出现属性错误，我使用的是张量流 2.5.0 版
import tensorflow as tf
import segmentation_models as sm
import glob
import cv2
import os
import numpy as np
from matplotlib import pyplot as plt
import keras
from keras.utils import normalize
from keras.metrics import MeanIoU
属性错误：
AttributeError: module 'keras.utils.generic_utils' has no attribute 'populate_dict_with_module_objects'
我尝试按照其他问题的建议安装 tensorflow 2.1.0 版本来解决问题，但问题仍然存在，非常感谢任何建议。
正如评论中所建议的，我正在更新 pip 列表的输出
点子列表：
pip list
Package Version
---------------------------------- -------------------
absl-py 0.12.0
alabaster 0.7.12
anaconda-client 1.8.0
anaconda-navigator 2.0.3
anaconda-project 0.10.0
antlr4-python3-runtime 4.8
anyio 2.2.0
appdirs 1.4.4
argh 0.26.2
argon2-cffi 20.1.0
arrow 0.13.1
asn1crypto 1.4.0
astroid 2.6.0
astropy 4.2.1
astunparse 1.6.3
async-generator 1.10
atomicwrites 1.4.0
attrs 21.2.0
autopep8 1.5.6
Babel 2.9.1
backcall 0.2.0
backports.functools-lru-cache 1.6.4
backports.shutil-get-terminal-size 1.0.0
backports.tempfile 1.0
backports.weakref 1.0.post1
beautifulsoup4 4.9.3
binaryornot 0.4.4
bitarray 2.1.0
bkcharts 0.2
black 21.4b2
bleach 3.3.0
bokeh 2.3.2
boto 2.49.0
Bottleneck 1.3.2
brotlipy 0.7.0
cachetools 4.2.2
certifi 2021.5.30
cffi 1.14.5
chardet 4.0.0
click 8.0.1
cloudpickle 1.6.0
clyent 1.2.2
colorama 0.4.4
conda 4.10.1
conda-build 3.21.4
conda-content-trust 0+unknown
conda-pack 0.6.0
conda-package-handling 1.7.3
conda-repo-cli 1.0.4
conda-token 0.3.0
conda-verify 3.4.2
contextlib2 0.6.0.post1
cookiecutter 1.7.2
cryptography 3.4.7
cycler 0.10.0
Cython 0.29.23
cytoolz 0.11.0
dask 2021.6.2
decorator 4.4.2
defusedxml 0.7.1
detectron2 0.4.1
diff-match-patch 20200713
distributed 2021.6.2
docutils 0.17.1
efficientnet 1.0.0
entrypoints 0.3
et-xmlfile 1.1.0
fast-slic 0.4.0
fastcache 1.1.0
filelock 3.0.12
flake8 3.9.0
Flask 1.1.2
flatbuffers 1.12
fsspec 2021.6.0
future 0.18.2
fvcore 0.1.5.post20210609
gast 0.4.0
gco-wrapper 3.0.7
gevent 21.1.2
glob2 0.7
gmpy2 2.0.8
google-auth 1.31.0
google-auth-oauthlib 0.4.4
google-pasta 0.2.0
greenlet 1.1.0
grpcio 1.34.1
h5py 3.1.0
HeapDict 1.0.1
html5lib 1.1
hydra-core 1.1.0
idna 2.10
image-classifiers 1.0.0
imageio 2.9.0
imagesize 1.2.0
importlib-metadata 3.10.0
importlib-resources 5.1.4
ImSegm 0.1.8
inflection 0.5.1
iniconfig 1.1.1
intervaltree 3.1.0
iopath 0.1.8
ipykernel 5.3.4
ipython 7.22.0
ipython-genutils 0.2.0
ipywidgets 7.6.3
isort 5.9.1
itsdangerous 2.0.1
jdcal 1.4.1
jedi 0.17.2
jeepney 0.6.0
Jinja2 2.11.3
jinja2-time 0.2.0
joblib 1.0.1
json5 0.9.6
jsonschema 3.2.0
jupyter 1.0.0
jupyter-client 6.1.12
jupyter-console 6.4.0
jupyter-core 4.7.1
jupyter-packaging 0.7.12
jupyter-server 1.4.1
jupyterlab 3.0.14
jupyterlab-pygments 0.1.2
jupyterlab-server 2.4.0
jupyterlab-widgets 1.0.0
Keras 2.3.1
Keras-Applications 1.0.8
keras-nightly 2.5.0.dev2021032900
Keras-Preprocessing 1.1.2
keyring 23.0.1
kiwisolver 1.3.1
lazy-object-proxy 1.6.0
libarchive-c 2.9
llvmlite 0.36.0
locket 0.2.1
lxml 4.6.3
Markdown 3.3.4
MarkupSafe 1.1.1
matplotlib 3.4.2
mccabe 0.6.1
mistune 0.8.4
mkl-fft 1.3.0
mkl-random 1.2.1
mkl-service 2.3.0
mock 4.0.3
more-itertools 8.8.0
mpmath 1.2.1
msgpack 1.0.2
multipledispatch 0.6.0
mypy-extensions 0.4.3
navigator-updater 0.2.1
nbclassic 0.2.6
nbclient 0.5.3
nbconvert 6.1.0
nbformat 5.1.3
nest-asyncio 1.5.1
networkx 2.5.1
nibabel 3.2.1
nltk 3.6.2
nose 1.3.7
notebook 6.4.0
np-utils 0.5.12.1
numba 0.53.1
numexpr 2.7.3
numpy 1.19.5
numpydoc 1.1.0
oauthlib 3.1.1
olefile 0.46
omegaconf 2.1.0
opencv-python 4.4.0.46
openpyxl 3.0.7
opt-einsum 3.3.0
packaging 20.9
pandas 1.1.4
pandocfilters 1.4.3
parso 0.7.0
partd 1.2.0
patchify 0.2.3
path 16.0.0
pathlib2 2.3.5
pathspec 0.8.1
pathtools 0.1.2
patsy 0.5.1
pbr 5.6.0
pep8 1.7.1
pexpect 4.8.0
pickleshare 0.7.5
Pillow 8.2.0
pip 21.1.2
pkginfo 1.7.0
planar 0.4
pluggy 0.13.1
ply 3.11
portalocker 2.3.0
poyo 0.5.0
prometheus-client 0.11.0
prompt-toolkit 3.0.17
protobuf 3.17.3
psutil 5.8.0
ptyprocess 0.7.0
py 1.10.0
pyasn1 0.4.8
pyasn1-modules 0.2.8
pycocotools 2.0.2
pycodestyle 2.6.0
pycosat 0.6.3
pycparser 2.20
pycurl 7.43.0.6
pydocstyle 6.1.1
pydot 1.4.2
pyerfa 2.0.0
pyflakes 2.2.0
Pygments 2.9.0
pylint 2.8.3
pyls-black 0.4.6
pyls-spyder 0.3.2
pyodbc 4.0.0-unsupported
pyOpenSSL 20.0.1
pyparsing 2.4.7
pyrsistent 0.17.3
PySocks 1.7.1
pytest 6.2.4
python-dateutil 2.8.1
python-jsonrpc-server 0.4.0
python-language-server 0.36.2
python-slugify 5.0.2
pytz 2021.1
PyWavelets 1.1.1
pyxdg 0.27
PyYAML 5.4.1
pyzmq 20.0.0
QDarkStyle 3.0.2
qstylizer 0.1.10
QtAwesome 1.0.2
qtconsole 5.1.0
QtPy 1.9.0
regex 2021.4.4
requests 2.25.1
requests-oauthlib 1.3.0
rope 0.19.0
rsa 4.7.2
Rtree 0.9.7
ruamel-yaml-conda 0.15.100
scikit-image 0.18.1
scikit-learn 0.24.2
scipy 1.5.4
seaborn 0.11.1
SecretStorage 3.3.1
segmentation-models 1.0.1
Send2Trash 1.5.0
setuptools 57.0.0
simplegeneric 0.8.1
singledispatch 0.0.0
sip 4.19.13
six 1.15.0
sniffio 1.2.0
snowballstemmer 2.1.0
sortedcollections 2.1.0
sortedcontainers 2.4.0
soupsieve 2.2.1
Sphinx 4.0.2
sphinxcontrib-applehelp 1.0.2
sphinxcontrib-devhelp 1.0.2
sphinxcontrib-htmlhelp 2.0.0
sphinxcontrib-jsmath 1.0.1
sphinxcontrib-qthelp 1.0.3
sphinxcontrib-serializinghtml 1.1.5
sphinxcontrib-websupport 1.2.4
spyder 5.0.3
spyder-kernels 2.0.3
SQLAlchemy 1.4.19
statsmodels 0.12.2
sympy 1.8
tables 3.6.1
tabulate 0.8.9
tblib 1.7.0
tensorboard 2.5.0
tensorboard-data-server 0.6.1
tensorboard-plugin-wit 1.8.0
tensorflow 2.5.0
tensorflow-estimator 2.5.0
tensorflow-gpu 2.5.0
termcolor 1.1.0
terminado 0.9.4
testpath 0.5.0
testresources 2.0.1
text-unidecode 1.3
textdistance 4.2.1
threadpoolctl 2.1.0
three-merge 0.1.1
tifffile 2021.6.6
tinycss 0.4
toml 0.10.2
toolz 0.11.1
torch 1.6.0+cu101
torchvision 0.7.0+cu101
tornado 6.1
tqdm 4.51.0
traitlets 5.0.5
typed-ast 1.4.2
typing-extensions 3.7.4.3
ujson 4.0.2
unicodecsv 0.14.1
Unidecode 1.2.0
urllib3 1.26.5
watchdog 1.0.2
wcwidth 0.2.5
webencodings 0.5.1
Werkzeug 2.0.1
wheel 0.36.2
whichcraft 0.6.1
widgetsnbextension 3.5.1
wrapt 1.12.1
wurlitzer 2.1.0
xlrd 2.0.1
XlsxWriter 1.3.8
xlwt 1.3.0
xmltodict 0.12.0
yacs 0.1.8
yapf 0.31.0
zict 2.0.0
zipp 3.4.1
zope.event 4.5.0
zope.interface 5.3.0
Note: you may need to restart the kernel to use updated packages.
解决方案
我通过添加tf.compat.v1.enable_eager_execution()到导入解决了我的问题，它工作正常
import tensorflow as tf
from tensorflow import keras
tf.compat.v1.enable_eager_execution()
import segmentation_models as sm
import glob
import cv2
import os
import numpy as np
from matplotlib import pyplot as plt
#import keras
from tensorflow.keras.utils import normalize
from tensorflow.keras.metrics import MeanIoU
推荐阅读
- ibm-cloud - 如何将 Ksql 与 ibm-cloud 事件流连接？
- unity3d - 为什么我的播放器从地板上掉下来？
- oracle-apex - Oracle APEX 卡工具提示
- javascript - 如何在 JSdoc 中的方法中记录嵌套函数
- tsql - 如何识别 SQL Server 2016 中的截断列
- android - Android Studio - 如果在包中，生成的绑定类找不到符号
- ios - 如何在集合视图的 elementKindSectionHeader 下方附加 UI 视图？
- javascript - jQuery .load() 在移动设备上阻止了我的脚本
- node.js - 如何编写对元素重新排序的查询
- python - 如何通过 pip / pipenv CLI 获取更新包的更改日志？