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
