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Hello,
I tried running the colab example after changing the lines
`
!pip install git+https://github.com/divamgupta/image-segmentation-keras
`
to
```
!pip uninstall tensorflow tensorboard ten…
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i get the following error
AttributeError: module 'keras.layers' has no attribute 'DepthwiseConv2D'
when i run
model = sm.Unet(BACKBONE, classes=n_classes, activation=activation);
while I'm r…
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i previously used unet architecture to perform semantic segmentation. now ive tried to enlarge the model size as i have 8 tesla v100s.
```
model = sm.Unet(BACKBONE, input_shape=(800,800,3), encod…
ghost updated
4 years ago
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Hi, help please! :(
I try to create a simple model like
```
import segmentation_models_3D as sm
import os
sm.set_framework('tf.keras')
os.environ["KERAS_BACKEND"] = "tensorflow"
model1 = sm.U…
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I'm getting some kind of error relating to BatchNormalization as soon as I try to instantiate a Unet model:
```
import segmentation_models as sm
# sm.set_framework('tf.keras')
# sm.framework()
…
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Hello, I have the following environments:
tensorflow==1.15.0 and keras==2.3.1 and python==3.6
When I try to run the basic line:
model1 = sm.Unet('resnet34', encoder_weights='imagenet')
I g…
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In the original implementation, they used a weighted loss function to weight up border pixels so that the network learns those preferentially (see Fig 3D below).
:
```
…
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I was trying to run the example described in the setup instructions:
CUDA_VISIBLE_DEVICES="0" python unet2ds_nf.py evaluate neurofinder.00.00 --model unet2ds_model.hdf5
The error is as follows:
…
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请教一下如果输入通道数为4的情况代码部分要改哪些呢