Open JVedant opened 3 years ago
Same problem here. Are you also using Google Colab?
No, I'm using a local system
Hello. I suspect you are using the latest tensorflow (my tf.__version__
is 2.6.0 and I have this issue). This fixes it for me:
import os
os.environ['SM_FRAMEWORK'] = 'tf.keras'
import segmentation_models as sm
Then it should print:
Segmentation Models: using 'tf.keras' framework
Hope that helps.
Looking further, it seems the sm.set_framework('tf.keras')
does work for me:
import os
# os.environ['SM_FRAMEWORK'] = 'tf.keras'
import segmentation_models as sm
print('sm.version=' + sm.__version__)
sm.set_framework('tf.keras')
model = sm.Unet('efficientnetb0', classes=1, input_shape=(128, 128, 3),
decoder_filters=(512, 256, 128, 64, 32), activation='sigmoid')
output:
Segmentation Models: using `keras` framework.
sm.version=1.0.1
Maybe a version mismatch or import issue? Again, hope this helps as a comparison point.
Looking further, it seems the
sm.set_framework('tf.keras')
does work for me:import os # os.environ['SM_FRAMEWORK'] = 'tf.keras' import segmentation_models as sm print('sm.version=' + sm.__version__) sm.set_framework('tf.keras') model = sm.Unet('efficientnetb0', classes=1, input_shape=(128, 128, 3), decoder_filters=(512, 256, 128, 64, 32), activation='sigmoid')
output:
Segmentation Models: using `keras` framework. sm.version=1.0.1
Maybe a version mismatch or import issue? Again, hope this helps as a comparison point.
OHHHHHHHHHHHHHHHHHHHHH, it does works for me .thank you very much !great!
Hi, when I'm trying to load the weights of imagenet in any model it's showing me an error that says "module 'keras.utils' has no attribute 'get_file'.
I also tried sm.set_framework("tf.keras") but it's throwing an error that says there is no method named set_framework in segmentation_model.
what can be done to solve this ?