我目前正在尝试重新创建 Unet。在需要合并两层输出的“上卷积”部分,我得到了提到的错误。 (类型错误: init () 为参数“axis”获得了多个值)
代码片段:
import gzip
import os
from six.moves import urllib
import tensorflow as tf
import numpy as np
from keras.models import Sequential, Model
from keras.layers import Input, Dropout, Flatten, Concatenate
from keras.layers import Conv2D, MaxPool2D, Conv2DTranspose
from keras.utils import np_utils
import keras.callbacks
# Define model architecture
input1 = Input((X_train.shape[1], X_train.shape[2], 1))
conv1 = Conv2D(64,(3,3), activation='relu', padding='same')(input1)
conv1 = Dropout(0.2)(conv1)
conv1 = Conv2D(64,(3,3), activation='relu', padding='same')(conv1)
pool1 = MaxPool2D(pool_size=(2,2))(conv1)
conv2 = Conv2D(128,(3,3), activation='relu', padding='same')(pool1)
conv2 = Dropout(0.2)(conv2)
conv2 = Conv2D(128,(3,3), activation='relu')(conv2)
pool2 = MaxPool2D(pool_size=(2,2))(conv2)
conv3 = Conv2D(256,(3,3), activation='relu', padding='same')(pool2)
conv3 = Dropout(0.2)(conv3)
conv3 = Conv2D(256,(3,3), activation='relu', padding='same')(conv3)
pool3 = MaxPool2D(pool_size=(2,2))(conv3)
conv4 = Conv2D(512,(3,3), activation='relu', padding='same')(pool3)
conv4 = Conv2D(512,(3,3), activation='relu', padding='same')(conv4)
up5 = Concatenate([Conv2DTranspose(256, (2,2), strides=(2,2),padding='same')(conv4), conv3], axis=3)
conv5 = Conv2D(256,(3,3), activation='relu', padding='same')(up5)
conv5 = Conv2D(256,(3,3), activation='relu', padding='same')(conv5)
详细的错误信息:
Traceback (most recent call last):
File "<ipython-input-48-d61955511ff9>", line 1, in <module>
runfile('C:/Users/.../MNIST_Unet_new.py', wdir='C:/Users/.../Documents/KerasTutorials')
File "C:\ProgramData\Anaconda3\envs\tensorflow-gpu\lib\site-packages\spyder\utils\site\sitecustomize.py", line 688, in runfile
execfile(filename, namespace)
File "C:\ProgramData\Anaconda3\envs\tensorflow-gpu\lib\site-packages\spyder\utils\site\sitecustomize.py", line 101, in execfile
exec(compile(f.read(), filename, 'exec'), namespace)
File "C:/Users/.../MNIST_Unet_new.py", line 107, in <module>
up5 = Concatenate([Conv2DTranspose(256, (2,2), strides=(2,2),padding='same')(conv4), conv3], axis=3)
TypeError: __init__() got multiple values for argument 'axis'
最佳答案
我找到了一个似乎有效的解决方案!
我对代码做了两处更改。
相关的代码片段现在看起来像这样
trans5 = Conv2DTranspose(256, (2,2), strides=(2,2),padding='same')(conv4)
up5 = keras.layers.concatenate([trans5, conv3], axis=3)
这可能是 keras 中的某种错误吗?我应该报告那个问题吗?
无论如何,非常感谢您的帮助。欣赏它!
关于tensorflow - Keras 连接类型错误 : __init__() got multiple values for argument 'axis' ,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/45584258/