'AttributeError: module 'keras.utils' has no attribute 'get_file'
When I'm trying to implement the following code
from keras_segmentation.models.segnet import resnet50_segnet
from keras_segmentation.predict import model_from_checkpoint_path
model = resnet50_segnet(n_classes=2 , input_height=1440, input_width=1088)
I get this error enter image description here
AttributeError Traceback (most recent call last)
<ipython-input-36-da4c2ac2af79> in <module>
2 from keras_segmentation.predict import model_from_checkpoint_path
3
----> 4 model = resnet50_segnet(n_classes=2 , input_height=1088, input_width=1440)
~/anaconda3/envs/py38/lib/python3.8/site-packages/keras_segmentation/models/segnet.py in resnet50_segnet(n_classes, input_height, input_width, encoder_level)
74 encoder_level=3):
75
---> 76 model = _segnet(n_classes, get_resnet50_encoder, input_height=input_height,
77 input_width=input_width, encoder_level=encoder_level)
78 model.model_name = "resnet50_segnet"
~/anaconda3/envs/py38/lib/python3.8/site-packages/keras_segmentation/models/segnet.py in
_segnet(n_classes, encoder, input_height, input_width, encoder_level)
45 encoder_level=3):
46
---> 47 img_input, levels = encoder(
48 input_height=input_height, input_width=input_width)
49
~/anaconda3/envs/py38/lib/python3.8/site-packages/keras_segmentation/models/resnet50.py in
get_resnet50_encoder(input_height, input_width, pretrained, include_top, weights,
input_tensor, input_shape, pooling, classes)
178
179 if pretrained == 'imagenet':
--> 180 weights_path = keras.utils.get_file(
181 pretrained_url.split("/")[-1], pretrained_url)
182 Model(img_input, x).load_weights(weights_path)
AttributeError: module 'keras.utils' has no attribute 'get_file'
I'm not quite sure as to how I could possibly solve this error. I'd appreciate receiving some help. Thanks!
Solution 1:[1]
Go the file reporting the error (like ~/anaconda3/envs/py38/lib/python3.8/site-packages/keras_segmentation/models/resnet50.py)
and change:
import keras
to
import tensorflow.keras as keras
Sources
This article follows the attribution requirements of Stack Overflow and is licensed under CC BY-SA 3.0.
Source: Stack Overflow
Solution | Source |
---|---|
Solution 1 | Youcef4k |