AttributeError：模块“keras.utils”没有属性“get_file”

Question

当我尝试实现以下代码时

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)

我收到此错误在此处输入图像描述

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'

我不太确定如何解决这个错误。 我很感激能得到一些帮助。 谢谢！

Answer 1

转到报告错误的文件（如 ~/anaconda3/envs/py38/lib/python3.8/site-packages/keras_segmentation/models/resnet50.py）

并改变：

import keras

至

import tensorflow.keras as keras