如何解决AttributeError: 无法导入 keras 和分割模型
我正在尝试导入分段模型和 keras，但出现属性错误，我使用的是 2.5.0 版张量流
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
AttributeError: module 'keras.utils.generic_utils' has no attribute 'populate_dict_with_module_objects'
我尝试安装 tensorflow 2.1.0 版本以解决其他问题中建议的问题，但问题仍然存在，非常感谢任何建议。
点列表：
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.
解决方法
我通过添加 tf.compat.v1.enable_eager_execution() 来导入解决了我的问题，并且它工作正常
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
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