I'm trying to import the following:
from tensorflow.keras.applications import EfficientNetB5
from tensorflow.keras import models
from tensorflow.keras import *
from tensorflow.keras.preprocessing.image import ImageDataGenerator
from tensorflow.keras.preprocessing.image import image_dataset_from_directory
And I get this error:
ImportError Traceback (most recent call last)
<ipython-input-1-5f46c7257169> in <module>
3 from tensorflow.keras import *
4 from tensorflow.keras.preprocessing.image import ImageDataGenerator
----> 5 from tensorflow.keras.preprocessing.image import image_dataset_from_directory
6 import os
7 import shutil
ImportError: cannot import name 'image_dataset_from_directory'
I'm using python3.9, tf-2.6. I also tried to install tf-nightly/keras-nightly, facing the same error. Any idea about how can I solve it? Last week I can ran the code, but now I'm completely stuck.
Related
I am working on healthcare image dataset for image segmentation. More specific, it is "Spinal Cord Gray Matter Segmentation Using PyTorch". When I am trying to install libraries initially using this code:
!pip3 install http://download.pytorch.org/whl/cu80/torch-0.4.0-cp36-cp36m-linux_x86_64.whl
!pip3 install torchvision
!pip install medicaltorch
!pip3 install numpy==1.14.1
it is showing some errors in between required satisfied like this:
1st screenshot
2nd screenshot
After that I am importing libraries:
from collections import defaultdict
import time
import os
import numpy as np
from tqdm import tqdm
from medicaltorch import datasets as mt_datasets
from medicaltorch import models as mt_models
from medicaltorch import transforms as mt_transforms
from medicaltorch import losses as mt_losses
from medicaltorch import metrics as mt_metrics
from medicaltorch import filters as mt_filters
import torch
from torchvision import transforms
from torch.utils.data import DataLoader
from torch import autograd, optim
import torch.backends.cudnn as cudnn
import torch.nn as nn
import torchvision.utils as vutils
cudnn.benchmark = True
import matplotlib.pyplot as plt
%matplotlib inline
This importing is throwing an error like this:
---------------------------------------------------------------------------
ImportError Traceback (most recent call last)
<ipython-input-8-80b8c583d1fe> in <module>()
20
21
---> 22 from medicaltorch import datasets as mt_datasets
23 from medicaltorch import models as mt_models
24 from medicaltorch import transforms as mt_transforms
/usr/local/lib/python3.7/dist-packages/medicaltorch/datasets.py in <module>()
11 from torch.utils.data import Dataset
12 import torch
---> 13 from torch._six import string_classes, int_classes
14
15 from PIL import Image
ImportError: cannot import name 'int_classes' from 'torch._six' (/usr/local/lib/python3.7/dist-packages/torch/_six.py)
---------------------------------------------------------------------------
NOTE: If your import is failing due to a missing package, you can
manually install dependencies using either !pip or !apt.
To view examples of installing some common dependencies, click the
"Open Examples" button below.
---------------------------------------------------------------------------
can someone help me resolve this?
In pytorch 1.9 int_classes variable in torch._six was removed. facebookresearch/TimeSformer#47
Use this code instead.
from torch._six import string_classes
int_classes = (bool, int)
See source here: https://github.com/visionml/pytracking/issues/272
I'm getting this error while trying to import the imputer module
from sklearn.preprocessing import Imputer
Error:
ImportError Traceback (most recent call last)
<ipython-input-10-40d42fb5b303> in <module>
1 # Import the Imputer module
----> 2 from sklearn.preprocessing import Imputer
3 from sklearn.svm import SVC
4
5 # Setup the Imputation transformer: imp
ImportError: cannot import name 'Imputer' from 'sklearn.preprocessing' (C:\Users\MOSTAFA\anaconda3\lib\site-packages\sklearn\preprocessing\__init__.py)
https://scikit-learn.org/stable/modules/generated/sklearn.impute.SimpleImputer.html
New in version 0.20: SimpleImputer replaces the previous sklearn.preprocessing.Imputer estimator which is now removed.
So, beginning with sklearn 0.20 you need to use SimpleImputer instead.
try: from sklearn.impute import SimpleImputer
I tried to install segmentation-models using.
!pip install -U segmentation-models==0.2.1
import tensorflow as tf
import tensorflow.keras as keras
print(tf.__version__)
print(keras.__version__)
Output:
2.4.1
2.4.0
# Tried for import
import segmentation_models as sm
Resulted in error: ModuleNotFoundError: No module named 'keras.legacy'
Following is the stack trace
stack Trace:
---------------------------------------------------------------------------
ModuleNotFoundError Traceback (most recent call last)
<ipython-input-16-7b5049dd4be0> in <module>()
----> 1 import segmentation_models as sm
6 frames
/usr/local/lib/python3.7/dist-packages/segmentation_models/__init__.py in <module>()
4
5 from .unet import Unet
----> 6 from .fpn import FPN
7 from .linknet import Linknet
8 from .pspnet import PSPNet
/usr/local/lib/python3.7/dist-packages/segmentation_models/fpn/__init__.py in <module>()
----> 1 from .model import FPN
2
/usr/local/lib/python3.7/dist-packages/segmentation_models/fpn/model.py in <module>()
----> 1 from .builder import build_fpn
2 from ..backbones import get_backbone, get_feature_layers
3 from ..utils import freeze_model
4 from ..utils import legacy_support
5
/usr/local/lib/python3.7/dist-packages/segmentation_models/fpn/builder.py in <module>()
6 from keras.models import Model
7
----> 8 from .blocks import pyramid_block
9 from ..common import ResizeImage
10 from ..common import Conv2DBlock
/usr/local/lib/python3.7/dist-packages/segmentation_models/fpn/blocks.py in <module>()
1 from keras.layers import Add
2
----> 3 from ..common import Conv2DBlock
4 from ..common import ResizeImage
5 from ..utils import to_tuple
/usr/local/lib/python3.7/dist-packages/segmentation_models/common/__init__.py in <module>()
1 from .blocks import Conv2DBlock
----> 2 from .layers import ResizeImage
/usr/local/lib/python3.7/dist-packages/segmentation_models/common/layers.py in <module>()
2 from keras.engine import InputSpec
3 from keras.utils import conv_utils
----> 4 from keras.legacy import interfaces
5 from keras.utils.generic_utils import get_custom_objects
6
ModuleNotFoundError: No module named 'keras.legacy'
---------------------------------------------------------------------------
NOTE: If your import is failing due to a missing package, you can
manually install dependencies using either !pip or !apt.
To view examples of installing some common dependencies, click the
"Open Examples" button below.
---------------------------------------------------------------------------
Solution Tried:
To downgrade both tensorflow and keras to
!pip install tensorflow==2.2.0
!pip install keras==2.3.1
But it is creating conflict between the tensorflow.keras and keras.
Is there any way to work this using tensorflow.keras?
As of now the following approach is working.
Do not try with specific version of segmentation_models module.
#install this way
!pip3 install tensorflow==2.2
!pip3 install keras==2.3.1
!pip3 install -U segmentation-models
import tensorflow as tf
import tensorflow.keras as keras
import segmentation_models as sm
Now segmentation_models imported successfully.
I am getting the above error with the following import statements on Google Colab GPU:
import argparse
#import cPickle
import _pickle as cPickle
import time
import os
import numpy as np
import theano as th
import theano.tensor as T
from theano.sandbox.rng_mrg import MRG_RandomStreams
import lasagne
import lasagne.layers as ll
from lasagne.init import Normal
from lasagne.layers import dnn
from lasagne.nonlinearities import softmax
from lasagne.objectives import categorical_crossentropy,categorical_accuracy
from keras.preprocessing.image import ImageDataGenerator
import nn
import sys
import plotting
import seaborn as sns
import cifar10_data
import svhn_data
import params
import copy
import scipy.misc
Given below are the library versions:
absl-py==0.9.0
alabaster==0.7.12
albumentations==0.1.12
altair==4.0.1
asgiref==3.2.3
astor==0.8.1
astropy==4.0
atari-py==0.2.6
atomicwrites==1.3.0
attrs==19.3.0
audioread==2.1.8
autograd==1.3
Babel==2.8.0
backcall==0.1.0
backports.tempfile==1.0
backports.weakref==1.0.post1
beautifulsoup4==4.6.3
bleach==3.1.0
blis==0.2.4
bokeh==1.4.0
boto==2.49.0
boto3==1.11.15
botocore==1.14.15
Bottleneck==1.3.1
branca==0.3.1
bs4==0.0.1
bz2file==0.98
cachetools==3.1.1
certifi==2019.11.28
cffi==1.14.0
chainer==6.5.0
chardet==3.0.4
chart-studio==1.0.0
Click==7.0
cloudpickle==1.2.2
cmake==3.12.0
colorlover==0.3.0
community==1.0.0b1
contextlib2==0.5.5
convertdate==2.2.0
coverage==3.7.1
coveralls==0.5
crcmod==1.7
cufflinks==0.17.0
cupy-cuda101==6.5.0
cvxopt==1.2.4
cvxpy==1.0.25
cycler==0.10.0
cymem==2.0.3
Cython==0.29.15
daft==0.0.4
dask==2.9.2
dataclasses==0.7
datascience==0.10.6
decorator==4.4.1
defusedxml==0.6.0
descartes==1.1.0
dill==0.3.1.1
distributed==1.25.3
Django==3.0.3
dlib==19.18.0
dm-sonnet==1.35
docopt==0.6.2
docutils==0.15.2
dopamine-rl==1.0.5
earthengine-api==0.1.213
easydict==1.9
ecos==2.0.7.post1
editdistance==0.5.3
en-core-web-sm==2.1.0
entrypoints==0.3
et-xmlfile==1.0.1
fa2==0.3.5
fancyimpute==0.4.3
fastai==1.0.60
fastdtw==0.3.4
fastprogress==0.2.2
fastrlock==0.4
fbprophet==0.5
feather-format==0.4.0
featuretools==0.4.1
filelock==3.0.12
fix-yahoo-finance==0.0.22
Flask==1.1.1
folium==0.8.3
fsspec==0.6.2
future==0.16.0
gast==0.2.2
GDAL==2.2.2
gdown==3.6.4
gensim==3.6.0
geographiclib==1.50
geopy==1.17.0
gevent==1.4.0
gin-config==0.3.0
glob2==0.7
google==2.0.3
google-api-core==1.16.0
google-api-python-client==1.7.11
google-auth==1.7.2
google-auth-httplib2==0.0.3
google-auth-oauthlib==0.4.1
google-cloud-bigquery==1.21.0
google-cloud-core==1.0.3
google-cloud-datastore==1.8.0
google-cloud-language==1.2.0
google-cloud-storage==1.16.2
google-cloud-translate==1.5.0
google-colab==1.0.0
google-pasta==0.1.8
google-resumable-media==0.4.1
googleapis-common-protos==1.51.0
googledrivedownloader==0.4
graph-nets==1.0.5
graphviz==0.10.1
greenlet==0.4.15
grpcio==1.27.1
gspread==3.0.1
gspread-dataframe==3.0.4
gunicorn==20.0.4
gym==0.15.6
h5py==2.8.0
HeapDict==1.0.1
holidays==0.9.12
html5lib==1.0.1
httpimport==0.5.18
httplib2==0.11.3
httplib2shim==0.0.3
humanize==0.5.1
hyperopt==0.1.2
ideep4py==2.0.0.post3
idna==2.8
image==1.5.28
imageio==2.4.1
imagesize==1.2.0
imbalanced-learn==0.4.3
imblearn==0.0
imgaug==0.2.9
importlib-metadata==1.5.0
imutils==0.5.3
inflect==2.1.0
intel-openmp==2020.0.133
intervaltree==2.1.0
ipykernel==4.6.1
ipython==5.5.0
ipython-genutils==0.2.0
ipython-sql==0.3.9
ipywidgets==7.5.1
itsdangerous==1.1.0
jax==0.1.58
jaxlib==0.1.38
jdcal==1.4.1
jedi==0.16.0
jieba==0.42.1
Jinja2==2.11.1
jmespath==0.9.4
joblib==0.14.1
jpeg4py==0.1.4
jsonschema==2.6.0
jupyter==1.0.0
jupyter-client==5.3.4
jupyter-console==5.2.0
jupyter-core==4.6.2
kaggle==1.5.6
kapre==0.1.3.1
Keras==2.2.5
Keras-Applications==1.0.8
Keras-Preprocessing==1.1.0
keras-vis==0.4.1
kfac==0.2.0
kiwisolver==1.1.0
knnimpute==0.1.0
Lasagne==0.1
librosa==0.6.3
lightgbm==2.2.3
llvmlite==0.31.0
lmdb==0.98
lucid==0.3.8
lunardate==0.2.0
lxml==4.2.6
magenta==0.3.19
Markdown==3.2.1
MarkupSafe==1.1.1
matplotlib==3.1.3
matplotlib-venn==0.11.5
mesh-tensorflow==0.1.9
mido==1.2.6
mir-eval==0.5
missingno==0.4.2
mistune==0.8.4
mizani==0.6.0
mkl==2019.0
mlxtend==0.14.0
more-itertools==8.2.0
moviepy==0.2.3.5
mpi4py==3.0.3
mpmath==1.1.0
msgpack==0.5.6
multiprocess==0.70.9
multitasking==0.0.9
murmurhash==1.0.2
music21==5.5.0
natsort==5.5.0
nbconvert==5.6.1
nbformat==5.0.4
networkx==2.4
nibabel==2.3.3
nltk==3.2.5
notebook==5.2.2
np-utils==0.5.12.1
numba==0.47.0
numexpr==2.7.1
numpy==1.17.5
nvidia-ml-py3==7.352.0
oauth2client==4.1.3
oauthlib==3.1.0
okgrade==0.4.3
opencv-contrib-python==4.1.2.30
opencv-python==4.1.2.30
openpyxl==2.5.9
opt-einsum==3.1.0
osqp==0.6.1
packaging==20.1
palettable==3.3.0
pandas==0.25.3
pandas-datareader==0.7.4
pandas-gbq==0.11.0
pandas-profiling==1.4.1
pandocfilters==1.4.2
parso==0.6.1
pathlib==1.0.1
patsy==0.5.1
pexpect==4.8.0
pickleshare==0.7.5
Pillow==6.2.2
pip-tools==4.2.0
plac==0.9.6
plotly==4.4.1
plotnine==0.6.0
pluggy==0.7.1
portpicker==1.3.1
prefetch-generator==1.0.1
preshed==2.0.1
pretty-midi==0.2.8
prettytable==0.7.2
progressbar2==3.38.0
prometheus-client==0.7.1
promise==2.3
prompt-toolkit==1.0.18
protobuf==3.10.0
psutil==5.4.8
psycopg2==2.7.6.1
ptyprocess==0.6.0
py==1.8.1
pyarrow==0.14.1
pyasn1==0.4.8
pyasn1-modules==0.2.8
pycocotools==2.0.0
pycparser==2.19
pydata-google-auth==0.3.0
pydot==1.3.0
pydot-ng==2.0.0
pydotplus==2.0.2
PyDrive==1.3.1
pyemd==0.5.1
pyglet==1.4.10
Pygments==2.1.3
pygobject==3.26.1
pymc3==3.7
PyMeeus==0.3.6
pymongo==3.10.1
pymystem3==0.2.0
PyOpenGL==3.1.5
pyparsing==2.4.6
pypng==0.0.20
pyrsistent==0.15.7
pysndfile==1.3.8
PySocks==1.7.1
pystan==2.19.1.1
pytest==3.6.4
python-apt==1.6.5+ubuntu0.2
python-chess==0.23.11
python-dateutil==2.6.1
python-louvain==0.13
python-rtmidi==1.4.0
python-slugify==4.0.0
python-utils==2.3.0
pytz==2018.9
PyWavelets==1.1.1
PyYAML==3.13
pyzmq==17.0.0
qtconsole==4.6.0
regex==2019.12.20
requests==2.21.0
requests-oauthlib==1.3.0
resampy==0.2.2
retrying==1.3.3
rpy2==2.9.5
rsa==4.0
s3fs==0.4.0
s3transfer==0.3.3
scikit-image==0.16.2
scikit-learn==0.22.1
scipy==1.4.1
screen-resolution-extra==0.0.0
scs==2.1.1.post2
seaborn==0.10.0
semantic-version==2.8.4
Send2Trash==1.5.0
setuptools-git==1.2
Shapely==1.7.0
simplegeneric==0.8.1
six==1.12.0
sklearn==0.0
sklearn-pandas==1.8.0
smart-open==1.9.0
snowballstemmer==2.0.0
sortedcontainers==2.1.0
spacy==2.1.9
Sphinx==1.8.5
sphinxcontrib-websupport==1.2.0
SQLAlchemy==1.3.13
sqlparse==0.3.0
srsly==1.0.1
stable-baselines==2.2.1
statsmodels==0.10.2
sympy==1.1.1
tables==3.4.4
tabulate==0.8.6
tblib==1.6.0
tensor2tensor==1.14.1
tensorboard==1.15.0
tensorboardcolab==0.0.22
tensorflow==1.15.0
tensorflow-datasets==2.0.0
tensorflow-estimator==1.15.1
tensorflow-gan==2.0.0
tensorflow-hub==0.7.0
tensorflow-metadata==0.21.1
tensorflow-privacy==0.2.2
tensorflow-probability==0.7.0
termcolor==1.1.0
terminado==0.8.3
testpath==0.4.4
text-unidecode==1.3
textblob==0.15.3
textgenrnn==1.4.1
tflearn==0.3.2
Theano==1.0.4
thinc==7.0.8
toolz==0.10.0
torch==1.4.0
torchsummary==1.5.1
torchtext==0.3.1
torchvision==0.5.0
tornado==4.5.3
tqdm==4.28.1
traitlets==4.3.3
tweepy==3.6.0
typing==3.6.6
typing-extensions==3.6.6
tzlocal==1.5.1
umap-learn==0.3.10
uritemplate==3.0.1
urllib3==1.24.3
vega-datasets==0.8.0
wasabi==0.6.0
wcwidth==0.1.8
webencodings==0.5.1
Werkzeug==1.0.0
widgetsnbextension==3.5.1
wordcloud==1.5.0
wrapt==1.11.2
xarray==0.14.1
xgboost==0.90
xkit==0.0.0
xlrd==1.1.0
xlwt==1.3.0
yellowbrick==0.9.1
zict==1.0.0
zipp==3.0.0
zmq==0.0.0
The most important ones after a quick search on google are:
Lasagne==0.1 and Theano==1.0.4
I cannot downgrade Theano below 0.9 version and Lasagna below 0.1 since the project requirements state so and I do not want the existing code to fail due to that.
The requirements are installed like so:
!pip install keras
!pip install theano
!pip install lasagne
The following is the detailed error stack:
ImportError Traceback (most recent call last)
<ipython-input-1-25f496ca23ee> in <module>()
14 import theano.tensor as T
15 from theano.sandbox.rng_mrg import MRG_RandomStreams
---> 16 import lasagne
17 import lasagne.layers as ll
18 from lasagne.init import Normal
/usr/local/lib/python3.6/dist-packages/lasagne/__init__.py in <module>()
17 from . import nonlinearities
18 from . import init
---> 19 from . import layers
20 from . import objectives
21 from . import random
/usr/local/lib/python3.6/dist-packages/lasagne/layers/__init__.py in <module>()
5 from .noise import *
6 from .conv import *
----> 7 from .pool import *
8 from .shape import *
9 from .merge import *
/usr/local/lib/python3.6/dist-packages/lasagne/layers/pool.py in <module>()
4 from ..utils import as_tuple
5
----> 6 from theano.tensor.signal import downsample
7
8
ImportError: cannot import name 'downsample'
---------------------------------------------------------------------------
NOTE: If your import is failing due to a missing package, you can
manually install dependencies using either !pip or !apt.
I have tried the following solutions:
https://github.com/aigamedev/scikit-neuralnetwork/issues/235
https://stackoverflow.com/questions/39501152/importerror-no-module-named-downsample
https://stackoverflow.com/questions/42998355/lasagne-vs-theano-possible-version-mismatch-windows
And all of them error out. Please let me know if you faced a similar problem at some point in time. Thanks in advance!!
From the documentation:
This module is deprecated. Use the functions in
theano.tensor.nnet.signal.pool()
I am trying to do this:
from sklearn.model_selection import train_test_split
and getting an error:
In [31]: from sklearn.model_selection import train_test_split
---------------------------------------------------------------------------
ImportError Traceback (most recent call last)
<ipython-input-31-73edc048c06b> in <module>()
----> 1 from sklearn.model_selection import train_test_split
/usr/local/lib/python3.6/site-packages/sklearn/model_selection/__init__.py in <module>()
----> 1 from ._split import BaseCrossValidator
2 from ._split import KFold
3 from ._split import GroupKFold
4 from ._split import StratifiedKFold
5 from ._split import TimeSeriesSplit
/usr/local/lib/python3.6/site-packages/sklearn/model_selection/_split.py in <module>()
29 from ..externals.six import with_metaclass
30 from ..externals.six.moves import zip
---> 31 from ..utils.fixes import signature, comb
32 from ..base import _pprint
33
ImportError: cannot import name 'comb'
any help would be much apreciated.
SciPy >=0.19 uses from scipy.special import comb instead of from scipy.misc import comb. https://github.com/scikit-learn/scikit-learn/pull/9046
utils/fixes.py source
try: # SciPy >= 0.19
from scipy.special import comb, logsumexp
except ImportError:
from scipy.misc import comb, logsumexp # noqa
I had the same error. conda remove --name your environment --all. Next, re-install the environment. It worked for me.