Created
March 13, 2021 12:37
-
-
Save Abhishek-Shaw-Kolkata/e5f762e5d10383b7df2dc7c2c3faf523 to your computer and use it in GitHub Desktop.
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
def conv_block(input, num_filters): | |
x = Conv2D(num_filters, 3, padding="same")(input) | |
x = BatchNormalization()(x) | |
x = Activation("relu")(x) | |
x = Conv2D(num_filters, 3, padding="same")(x) | |
x = BatchNormalization()(x) | |
x = Activation("relu")(x) | |
return x | |
def encoder_block(input, num_filters): | |
x = conv_block(input, num_filters) | |
p = MaxPool2D((2, 2))(x) | |
return x, p | |
def decoder_block(input, skip_features, num_filters): | |
x = Conv2DTranspose(num_filters, (2, 2), strides=2, padding="same")(input) | |
x = Concatenate()([x, skip_features]) | |
x = conv_block(x, num_filters) | |
return x | |
def build_unet(input_shape): | |
inputs = Input(input_shape) | |
s1, p1 = encoder_block(inputs, 64) | |
s2, p2 = encoder_block(p1, 128) | |
s3, p3 = encoder_block(p2, 256) | |
s4, p4 = encoder_block(p3, 512) | |
b1 = conv_block(p4, 1024) | |
d1 = decoder_block(b1, s4, 512) | |
d2 = decoder_block(d1, s3, 256) | |
d3 = decoder_block(d2, s2, 128) | |
d4 = decoder_block(d3, s1, 64) | |
outputs = Conv2D(1, 1, padding="same", activation="sigmoid")(d4) | |
model = Model(inputs, outputs, name="U-Net") | |
return model | |
input_shape = (256, 256, 3) | |
model_seg = build_unet(input_shape) | |
model_seg.compile(optimizer=tf.keras.optimizers.Adam(lr=0.001), loss=combined_loss, metrics=[dice_coef]) |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment