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Any time I try to use any model except fcn_8 I get this error:
weights_path = keras.utils.get_file(
AttributeError: module 'keras.utils' has no attribute 'get_file'
Any ideas?
Thanks
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Hello, this doesn't seem to be the structure of the DANet model, is it the Unet model with the attention mechanism added
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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 …
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Hello! I am trying to run this command `model = sm.Unet("seresnet34")` after install the pip package and all the dependencies, and I get the `AttributeError: 'str' object has no attribute 'decode'`.
…
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import efficientnet.keras as efn
import keras.backend as backend
with strategy.s…
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Hi, I am coming from medical background and very new to this machine learning field. I am trying to train my U-Net model using keras and tensorflow for image segmentation. However, my loss value is al…
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I got into some trouble when trying to train the model:
---------------------------------------------------------------------------
TypeError Traceback (most recent c…
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I am using Keras 2.3.0 and tensorflow 1.14
I initialize the dense model like this
```
enc_nf = [16, 32, 32, 32]
dec_nf = [32, 32, 32, 32, 32, 16, 16]
model = vxm.networks.VxmDense(
insha…
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I am attempting to perform transfer learning on the existing nobrainer model weights by synthesizing a training dataset complied with manual edits to the brain mask.
My first attempt made it throug…
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Hello
I was wondering what the rational is for using 3x3 convolutions as opposed to 1x1 convolutions in the output layer. As far as i know, the original U-net paper uses 1x1 sigmoid/softmax neurons…