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I am writing the code for building extraction using deep learning but when I am trying to import the library files, it is showing the error "No module named 'tensorflow.keras'". I am unable to resolve it. Can anyone help?

import os
import cv2
import numpy as np
import random
from matplotlib import pyplot as plt
from patchify import patchify
from PIL import Image
import segmentation_models as sm
from sklearn.model_selection import train_test_split

from tensorflow.keras.utils import to_categorical

from tensorflow.keras.metrics import MeanIoU

My current version of tensorflow is - 2.9.1 and version of keras is - 2.2.0

The error that I am getting is:-

ImportError                               Traceback (most recent call last)
File ~\anaconda3\envs\tensorflow\lib\site-packages\segmentation_models\__init__.py:98, in <module>
     97 try:
---> 98     set_framework(_framework)
     99 except ImportError:

File ~\anaconda3\envs\tensorflow\lib\site-packages\segmentation_models\__init__.py:67, in set_framework(name)
     66 if name == _KERAS_FRAMEWORK_NAME:
---> 67     import keras
     68     import efficientnet.keras  # init custom objects

File ~\anaconda3\envs\tensorflow\lib\site-packages\keras\__init__.py:3, in <module>
      1 from __future__ import absolute_import
----> 3 from . import utils
      4 from . import activations

File ~\anaconda3\envs\tensorflow\lib\site-packages\keras\utils\__init__.py:25, in <module>
     24 from .np_utils import normalize
---> 25 from .multi_gpu_utils import multi_gpu_model

File ~\anaconda3\envs\tensorflow\lib\site-packages\keras\utils\multi_gpu_utils.py:7, in <module>
      5 from __future__ import print_function
----> 7 from ..layers.merge import concatenate
      8 from .. import backend as K

File ~\anaconda3\envs\tensorflow\lib\site-packages\keras\layers\__init__.py:4, in <module>
      3 from ..utils.generic_utils import deserialize_keras_object
----> 4 from ..engine.base_layer import Layer
      5 from ..engine import Input

File ~\anaconda3\envs\tensorflow\lib\site-packages\keras\engine\__init__.py:8, in <module>
      7 from .network import get_source_inputs
----> 8 from .training import Model

File ~\anaconda3\envs\tensorflow\lib\site-packages\keras\engine\training.py:21, in <module>
     20 from .training_utils import weighted_masked_objective
---> 21 from . import training_arrays
     22 from . import training_generator

File ~\anaconda3\envs\tensorflow\lib\site-packages\keras\engine\training_arrays.py:14, in <module>
     13 from .. import backend as K
---> 14 from .. import callbacks as cbks
     15 from ..utils.generic_utils import Progbar

File ~\anaconda3\envs\tensorflow\lib\site-packages\keras\callbacks.py:18, in <module>
     17 from collections import OrderedDict
---> 18 from collections import Iterable
     19 from .utils.generic_utils import Progbar

ImportError: cannot import name 'Iterable' from 'collections' (C:\Users\DOLONCHAPA\anaconda3\envs\tensorflow\lib\collections\__init__.py)

During handling of the above exception, another exception occurred:

ModuleNotFoundError                       Traceback (most recent call last)
Input In [1], in <cell line: 8>()
      6 from patchify import patchify
      7 from PIL import Image
----> 8 import segmentation_models as sm
      9 from sklearn.model_selection import train_test_split
     11 from tensorflow.keras.utils import to_categorical

File ~\anaconda3\envs\tensorflow\lib\site-packages\segmentation_models\__init__.py:101, in <module>
     99 except ImportError:
    100     other = _TF_KERAS_FRAMEWORK_NAME if _framework == _KERAS_FRAMEWORK_NAME else _KERAS_FRAMEWORK_NAME
--> 101     set_framework(other)
    103 print('Segmentation Models: using `{}` framework.'.format(_KERAS_FRAMEWORK))
    105 # import helper modules

File ~\anaconda3\envs\tensorflow\lib\site-packages\segmentation_models\__init__.py:71, in set_framework(name)
     69 elif name == _TF_KERAS_FRAMEWORK_NAME:
     70     from tensorflow import keras
---> 71     import efficientnet.tfkeras  # init custom objects
     72 else:
     73     raise ValueError('Not correct module name `{}`, use `{}` or `{}`'.format(
     74         name, _KERAS_FRAMEWORK_NAME, _TF_KERAS_FRAMEWORK_NAME))

File ~\anaconda3\envs\tensorflow\lib\site-packages\efficientnet\tfkeras.py:6, in <module>
      2 from . import model
      4 from .preprocessing import center_crop_and_resize
----> 6 EfficientNetB0 = inject_tfkeras_modules(model.EfficientNetB0)
      7 EfficientNetB1 = inject_tfkeras_modules(model.EfficientNetB1)
      8 EfficientNetB2 = inject_tfkeras_modules(model.EfficientNetB2)

File ~\anaconda3\envs\tensorflow\lib\site-packages\efficientnet\__init__.py:50, in inject_tfkeras_modules(func)
     49 def inject_tfkeras_modules(func):
---> 50     import tensorflow.keras as tfkeras
     51     @functools.wraps(func)
     52     def wrapper(*args, **kwargs):
     53         kwargs['backend'] = tfkeras.backend

ModuleNotFoundError: No module named 'tensorflow.keras'
DolonPrabhakar
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  • [may be helpful](https://stackoverflow.com/questions/47262955/how-to-import-keras-from-tf-keras-in-tensorflow) – Shad0w Sep 21 '22 at 06:48

2 Answers2

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As mentioned by @Shishu Kumar Choudhary,

There is tensorflow and keras version mismatched in your system environment. (TF=2.9.1, Keras=2.2)

You need to install the same version of keras==2.9 as installed version of tensorflow==2.9 to fix this issue.

Please use the below code to install keras==2.9 and try running your code again

!pip install keras==2.9

!pip install patchify    #To install and import other mentioned libraries  in code
!pip install segmentation_models
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I replicate your situation on my system and it works perfectly.

I think there is version related problem you can use this set of versions.

tensorflow version:          2.8.2
keras version:               2.8.0
numpy version:               1.21.6
cv2 version:                 4.6.0
segmentation_models version: 1.0.1
python version:              3.7.14
Shishu Kumar Choudhary
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