I just installed Anaconda 4.3.23 with Python 3 64 bit. I created virtual environment and installed conda install matplotlib. When I execute import matplotlib.pyplot as plt I get back the following error:
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ImportError Traceback (most recent call last)
<ipython-input-3-2d703b067d13> in <module>()
2 import numpy as np
3 import tensorflow as tf
----> 4 import matplotlib.pyplot as plt
~\AppData\Local\conda\conda\envs\tensorflow\lib\site-packages\matplotlib\__init__.py in <module>()
122 from matplotlib.cbook import is_string_like, mplDeprecation, dedent, get_label
123 from matplotlib.compat import subprocess
--> 124 from matplotlib.rcsetup import (defaultParams,
125 validate_backend,
126 cycler)
~\AppData\Local\conda\conda\envs\tensorflow\lib\site-packages\matplotlib\rcsetup.py in <module>()
35
36 # Don't let the original cycler collide with our validating cycler
---> 37 from cycler import Cycler, cycler as ccycler
38
39 # interactive_bk = ['gtk', 'gtkagg', 'gtkcairo', 'qt4agg',
ImportError: No module named 'cycler'
I tried running conda install cycler, but got back:
# All requested packages already installed.
# packages in environment at C:\Users\test\AppData\Local\conda\conda\envs\tensorflow:
#
cycler 0.10.0 py35_0 conda-forge
I ran all above under newly created virtual environment tensorflow. Any thoughts?
Related
I'm trying to follow this repo's tutorial on colabhttps://github.com/divamgupta/image-segmentation-keras
but I'm getting this error again and again
cannot import name 'get_config' from 'tensorflow.python.eager.context' (/usr/local/lib/python3.7/dist-packages/tensorflow/python/eager/context.py)
I googled it a lot so I found some solutions that solved same problems for them, like upgrade tensorflow version or using from tensorflow import keras instead of import keras
or add this code snippet
!pip install --upgrade tensorflow
!pip install --upgrade tensorflow-gpu
But none of them worked!
Full error codes are as follow
---------------------------------------------------------------------------
ImportError Traceback (most recent call last)
<ipython-input-10-5c4963dc4fff> in <module>()
1 from tensorflow import keras
2 from tensorflow.keras.preprocessing import image
----> 3 from keras_segmentation.models.unet import vgg_unet
4
5 model = vgg_unet(n_classes=50 , input_height=320, input_width=640 )
3 frames
/usr/local/lib/python3.7/dist-packages/keras_segmentation/models/unet.py in <module>()
----> 1 from keras.models import *
2 from keras.layers import *
3
4 from .config import IMAGE_ORDERING
5 from .model_utils import get_segmentation_model
/usr/local/lib/python3.7/dist-packages/keras/__init__.py in <module>()
23
24 # See b/110718070#comment18 for more details about this import.
---> 25 from keras import models
26
27 from keras.engine.input_layer import Input
/usr/local/lib/python3.7/dist-packages/keras/models.py in <module>()
17
18 import tensorflow.compat.v2 as tf
---> 19 from keras import backend
20 from keras import metrics as metrics_module
21 from keras import optimizer_v1
/usr/local/lib/python3.7/dist-packages/keras/backend.py in <module>()
35 from tensorflow.python.distribute import distribute_coordinator as dc
36 from tensorflow.python.distribute import distribute_coordinator_context as dc_context
---> 37 from tensorflow.python.eager.context import get_config
38 from tensorflow.python.framework import config
39 from keras import backend_config
ImportError: cannot import name 'get_config' from 'tensorflow.python.eager.context' (/usr/local/lib/python3.7/dist-packages/tensorflow/python/eager/context.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.
---------------------------------------------------------------------------
Full codes are as follow
!pip install keras-segmentation
!pip install keras==2.4.3
#!pip install tensorflow==2.4.1
!pip install tensorflow==2.5.0
!apt-get install -y libsm6 libxext6 libxrender-dev
!pip install opencv-python
!pip install --upgrade tensorflow
!pip install --upgrade tensorflow-gpu
! wget https://github.com/divamgupta/datasets/releases/download/seg/dataset1.zip && unzip dataset1.zip
from tensorflow import keras
from tensorflow.keras.preprocessing import image
from keras_segmentation.models.unet import vgg_unet
model = vgg_unet(n_classes=50 , input_height=320, input_width=640 )
model.train(
train_images = "dataset1/images_prepped_train/",
train_annotations = "dataset1/annotations_prepped_train/",
checkpoints_path = "/tmp/vgg_unet_1" , epochs=5
)
out = model.predict_segmentation(
inp="dataset1/images_prepped_test/0016E5_07965.png",
out_fname="/tmp/out.png"
)
%matplotlib inline
import matplotlib
import matplotlib.pyplot as plt
plt.imshow(out)
from IPython.display import Image
Image('/tmp/out.png')
o = model.predict_segmentation(
inp="dataset1/images_prepped_test/0016E5_07965.png",
out_fname="/tmp/out.png" , overlay_img=True, show_legends=True,
class_names = [ "Sky", "Building", "Pole","Road","Pavement","Tree","SignSymbol", "Fence", "Car","Pedestrian", "Bicyclist"]
)
from IPython.display import Image
Image('/tmp/out.png')
I would appreciate any of your help
thanks in advance
From comments
It was just a matter of version
with tensorflow and keras. I looked into traceback tensorflow error
messages and opened it and changed import keras to from tensorflow import keras issue was resolved (Paraphrased from z2ouu).
I'm facing the following erro:
ImportError Traceback (most recent call last)
<ipython-input-1-0484cd13f94d> in <module>
----> 1 import matplotlib
~\Anaconda3\lib\site-packages\matplotlib\__init__.py in <module>
105 # cbook must import matplotlib only within function
106 # definitions, so it is safe to import from it here.
--> 107 from . import cbook, rcsetup
108 from matplotlib.cbook import MatplotlibDeprecationWarning, sanitize_sequence
109 from matplotlib.cbook import mplDeprecation # deprecated
~\Anaconda3\lib\site-packages\matplotlib\rcsetup.py in <module>
24 import numpy as np
25
---> 26 from matplotlib import animation, cbook
27 from matplotlib.cbook import ls_mapper
28 from matplotlib.fontconfig_pattern import parse_fontconfig_pattern
ImportError: cannot import name 'animation' from partially initialized module 'matplotlib'
I've removed matplotlib and then reinstalled it. I've also tried to use pip install matplotlib --force-reinstall --user command, but the error persists. The most curious is that matplotlib runs properly when I run Python in Windows Prompt Command, but not in Jupyter or Spider. I cant use admin privileges. Im running python 3.8.5 and matplotlib 3.4.2.
Please help me to solve the problem - I use Google's Colaboratory to run tensor_hub example Text classification with TF-Hub, it needs the version later than 1.7.0, but the version I installed is 1.8.0.
# Install the latest Tensorflow version.
!pip install --quiet "tensorflow>=1.7"
# Install TF-Hub.
!pip install tensorflow-hub
import tensorflow as tf
import tensorflow_hub as hub
import matplotlib.pyplot as plt
import numpy as np
import os
import pandas as pd
import re
import seaborn as sns
RuntimeErrorTraceback (most recent call last) <ipython-input-20-48e1bdaa8642> in <module>()
1 import tensorflow as tf
----> 2 import tensorflow_hub as hub
3 import matplotlib.pyplot as plt
4 import numpy as np
5 import os
/usr/local/lib/python2.7/dist-packages/tensorflow_hub/__init__.py in <module>()
63
64 # Comment/uncomment to skip checking the TensorFlow version.
---> 65 _check_tensorflow_version(tf.VERSION)
66
67 # Used by doc generation script.
/usr/local/lib/python2.7/dist-packages/tensorflow_hub/__init__.py in
_check_tensorflow_version(version)
60 "TensorFlow Hub depends on 'tf-nightly' build after %s or "
61 "'tensorflow~=%s'. Found tf.VERSION = %s" % (
---> 62 _NIGHTLY_VERSION, _MAIN_VERSION, version))
63
64 # Comment/uncomment to skip checking the TensorFlow version.
RuntimeError: TensorFlow Hub depends on 'tf-nightly' build after 20180308 or 'tensorflow~=1.7'. Found tf.VERSION = 1.6.0
Good news: TF 1.7 is now available by default. :)
The underlying problem you were hitting is just that python caches loaded modules in sys.modules -- re-importing a module doesn't pick up the new version until you restart the process, as Korakot noted.
You may need to restart the runtime.
menu > Runtime > Restart runtime...
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ImportError Traceback (most recent call last)
/Users/CJL/anaconda3/lib/python3.5/site-packages/keras/backend/tensorflow_backend.py in <module>()
4 try:
----> 5 from tensorflow.python.ops import ctc_ops as ctc
6 except ImportError:
ImportError: cannot import name 'ctc_ops'
During handling of the above exception, another exception occurred:
ImportError Traceback (most recent call last)
<ipython-input-10-c74e2bd4ca71> in <module>()
----> 1 import keras
/Users/CJL/anaconda3/lib/python3.5/site-packages/keras/__init__.py in <module>()
1 from __future__ import absolute_import
----> 2 from . import backend
3 from . import datasets
4 from . import engine
5 from . import layers
/Users/CJL/anaconda3/lib/python3.5/site-packages/keras/backend/__init__.py in <module>()
67 elif _BACKEND == 'tensorflow':
68 sys.stderr.write('Using TensorFlow backend.\n')
---> 69 from .tensorflow_backend import *
70 else:
71 raise Exception('Unknown backend: ' + str(_BACKEND))
/Users/CJL/anaconda3/lib/python3.5/site-packages/keras/backend/tensorflow_backend.py in <module>()
5 from tensorflow.python.ops import ctc_ops as ctc
6 except ImportError:
----> 7 import tensorflow.contrib.ctc as ctc
8
9 import numpy as np
ImportError: No module named 'tensorflow.contrib.ctc'
Seems like is an problem with Keras and not Tensorflow according to this post enter link description here
I was wondering if this has been fixed yet?
This is a problem between Keras and tensorflow. You should change this fix to use something like
if hasattr(tf.contrib, 'ctc'):
ctc = tf.contrib.ctc # old version
else:
ctc = tf.nn # New official version.
The current "official" way to access the ctc operations are in tf.nn, for instance, tf.nn.ctc_loss.
If keras is giving an import problem and you are facing "no module named keras" even if you have installed it.
Just upgrade your pip by:
python -m pip install –upgrade pip
Re-install upgraded keras and tensorflow by:
pip install keras
pip install tensorflow
Hope it will solve the problem. If not, try upgrading your conda (Anaconda) and then do steps 1 to 3 above again.
Having some errors when attempting to run import numpy as np inside the IPython notebook environment. I assume that the Enthought Canopy package is borked, any tips would be much appreciated!
ImportError Traceback (most recent call last)
<ipython-input-2-140a5caba752> in <module>()
----> 1 import numpy as np
2 import scipy
3 import matplotlib as mpl
/Users/iMacHome/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/numpy/__init__.pyc in <module>()
141 return loader(*packages, **options)
142
--> 143 import add_newdocs
144 __all__ = ['add_newdocs']
145
/Users/iMacHome/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/numpy/add_newdocs.py in <module>()
7 # core/fromnumeric.py, core/defmatrix.py up-to-date.
8
----> 9 from numpy.lib import add_newdoc
10
11 ###############################################################################
Reset your Canopy Python User environment by deleting /Users/iMacHome/Library/Enthought/, and restarting the Canopy GUI (to re-initialize the environment), then try again. If that doesn't do it, consider the possibility that you are cross-linking with another Python installation. To test this, what is your sys.prefix and sys.path in ipython?