用python代码写一个U-Net网络
时间: 2023-02-25 08:39:36 浏览: 62
首先,您需要安装一些必要的库,如TensorFlow或Keras。然后,您可以使用以下代码来构建一个U-Net网络:
```
import tensorflow as tf
from tensorflow.keras.layers import Input, Conv2D, MaxPooling2D, concatenate, UpSampling2D
inputs = Input((512, 512, 3))
down1 = Conv2D(64, (3, 3), padding='same')(inputs)
down1 = Conv2D(64, (3, 3), padding='same')(down1)
down1_pool = MaxPooling2D((2, 2), strides=(2, 2))(down1)
down2 = Conv2D(128, (3, 3), padding='same')(down1_pool)
down2 = Conv2D(128, (3, 3), padding='same')(down2)
down2_pool = MaxPooling2D((2, 2), strides=(2, 2))(down2)
down3 = Conv2D(256, (3, 3), padding='same')(down2_pool)
down3 = Conv2D(256, (3, 3), padding='same')(down3)
down3_pool = MaxPooling2D((2, 2), strides=(2, 2))(down3)
down4 = Conv2D(512, (3, 3), padding='same')(down3_pool)
down4 = Conv2D(512, (3, 3), padding='same')(down4)
down4_pool = MaxPooling2D((2, 2), strides=(2, 2))(down4)
center = Conv2D(1024, (3, 3), padding='same')(down4_pool)
center = Conv2D(1024, (3, 3), padding='same')(center)
up4 = UpSampling2D((2, 2))(center)
up4 = concatenate([down4, up4], axis=3)
up4 = Conv2D(512, (3, 3), padding='same')(up4)
up4 = Conv2D(512, (3, 3), padding='same')(up4)
up3 = UpSampling2D((2, 2))(up4)
up3 = concatenate([down3, up3], axis=3)
up3 = Conv2D(256, (3, 3), padding='same')(up3)
up3 = Conv2D(256, (3, 3), padding='same')(up3)
up2 = UpSampling2D((2, 2))(up3)
up2 = concatenate([down2, up2], axis=3)
up2 = Conv2D(128, (3, 3), padding='same')(up2)
up2 = Conv2D(128, (3, 3), padding='same')(up2)
up1 = UpSampling2D((2, 2))(up2)
up1 = concatenate([