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modelsummary.yaml
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modelsummary.yaml
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backend: tensorflow
class_name: Model
config:
input_layers:
- - input_1
- 0
- 0
layers:
- class_name: InputLayer
config:
batch_input_shape: !!python/tuple
- null
- 512
- 512
- 2
dtype: float32
name: input_1
sparse: false
inbound_nodes: []
name: input_1
- class_name: Conv2D
config:
activation: elu
activity_regularizer: null
bias_constraint: null
bias_initializer:
class_name: Zeros
config: {}
bias_regularizer: null
data_format: channels_last
dilation_rate: &id001 !!python/tuple
- 1
- 1
dtype: float32
filters: 32
kernel_constraint: null
kernel_initializer:
class_name: VarianceScaling
config:
distribution: uniform
mode: fan_avg
scale: 1.0
seed: null
kernel_regularizer: null
kernel_size: !!python/tuple
- 3
- 3
name: conv2d_1
padding: same
strides: *id001
trainable: true
use_bias: true
inbound_nodes:
- - - input_1
- 0
- 0
- {}
name: conv2d_1
- class_name: Dropout
config:
dtype: float32
name: dropout_1
noise_shape: null
rate: 0.2
seed: null
trainable: true
inbound_nodes:
- - - conv2d_1
- 0
- 0
- {}
name: dropout_1
- class_name: Conv2D
config:
activation: elu
activity_regularizer: null
bias_constraint: null
bias_initializer:
class_name: Zeros
config: {}
bias_regularizer: null
data_format: channels_last
dilation_rate: *id001
dtype: float32
filters: 32
kernel_constraint: null
kernel_initializer:
class_name: VarianceScaling
config:
distribution: uniform
mode: fan_avg
scale: 1.0
seed: null
kernel_regularizer: null
kernel_size: !!python/tuple
- 3
- 3
name: conv2d_2
padding: same
strides: *id001
trainable: true
use_bias: true
inbound_nodes:
- - - dropout_1
- 0
- 0
- {}
name: conv2d_2
- class_name: MaxPooling2D
config:
data_format: channels_last
dtype: float32
name: max_pooling2d_1
padding: valid
pool_size: &id002 !!python/tuple
- 2
- 2
strides: *id002
trainable: true
inbound_nodes:
- - - conv2d_2
- 0
- 0
- {}
name: max_pooling2d_1
- class_name: Conv2D
config:
activation: elu
activity_regularizer: null
bias_constraint: null
bias_initializer:
class_name: Zeros
config: {}
bias_regularizer: null
data_format: channels_last
dilation_rate: *id001
dtype: float32
filters: 64
kernel_constraint: null
kernel_initializer:
class_name: VarianceScaling
config:
distribution: uniform
mode: fan_avg
scale: 1.0
seed: null
kernel_regularizer: null
kernel_size: !!python/tuple
- 3
- 3
name: conv2d_3
padding: same
strides: *id001
trainable: true
use_bias: true
inbound_nodes:
- - - max_pooling2d_1
- 0
- 0
- {}
name: conv2d_3
- class_name: Dropout
config:
dtype: float32
name: dropout_2
noise_shape: null
rate: 0.2
seed: null
trainable: true
inbound_nodes:
- - - conv2d_3
- 0
- 0
- {}
name: dropout_2
- class_name: Conv2D
config:
activation: elu
activity_regularizer: null
bias_constraint: null
bias_initializer:
class_name: Zeros
config: {}
bias_regularizer: null
data_format: channels_last
dilation_rate: *id001
dtype: float32
filters: 64
kernel_constraint: null
kernel_initializer:
class_name: VarianceScaling
config:
distribution: uniform
mode: fan_avg
scale: 1.0
seed: null
kernel_regularizer: null
kernel_size: !!python/tuple
- 3
- 3
name: conv2d_4
padding: same
strides: *id001
trainable: true
use_bias: true
inbound_nodes:
- - - dropout_2
- 0
- 0
- {}
name: conv2d_4
- class_name: MaxPooling2D
config:
data_format: channels_last
dtype: float32
name: max_pooling2d_2
padding: valid
pool_size: *id002
strides: *id002
trainable: true
inbound_nodes:
- - - conv2d_4
- 0
- 0
- {}
name: max_pooling2d_2
- class_name: Conv2D
config:
activation: elu
activity_regularizer: null
bias_constraint: null
bias_initializer:
class_name: Zeros
config: {}
bias_regularizer: null
data_format: channels_last
dilation_rate: *id001
dtype: float32
filters: 64
kernel_constraint: null
kernel_initializer:
class_name: VarianceScaling
config:
distribution: uniform
mode: fan_avg
scale: 1.0
seed: null
kernel_regularizer: null
kernel_size: !!python/tuple
- 3
- 3
name: conv2d_5
padding: same
strides: *id001
trainable: true
use_bias: true
inbound_nodes:
- - - max_pooling2d_2
- 0
- 0
- {}
name: conv2d_5
- class_name: Dropout
config:
dtype: float32
name: dropout_3
noise_shape: null
rate: 0.2
seed: null
trainable: true
inbound_nodes:
- - - conv2d_5
- 0
- 0
- {}
name: dropout_3
- class_name: Conv2D
config:
activation: elu
activity_regularizer: null
bias_constraint: null
bias_initializer:
class_name: Zeros
config: {}
bias_regularizer: null
data_format: channels_last
dilation_rate: *id001
dtype: float32
filters: 64
kernel_constraint: null
kernel_initializer:
class_name: VarianceScaling
config:
distribution: uniform
mode: fan_avg
scale: 1.0
seed: null
kernel_regularizer: null
kernel_size: !!python/tuple
- 3
- 3
name: conv2d_6
padding: same
strides: *id001
trainable: true
use_bias: true
inbound_nodes:
- - - dropout_3
- 0
- 0
- {}
name: conv2d_6
- class_name: MaxPooling2D
config:
data_format: channels_last
dtype: float32
name: max_pooling2d_3
padding: valid
pool_size: *id002
strides: *id002
trainable: true
inbound_nodes:
- - - conv2d_6
- 0
- 0
- {}
name: max_pooling2d_3
- class_name: Conv2D
config:
activation: elu
activity_regularizer: null
bias_constraint: null
bias_initializer:
class_name: Zeros
config: {}
bias_regularizer: null
data_format: channels_last
dilation_rate: *id001
dtype: float32
filters: 128
kernel_constraint: null
kernel_initializer:
class_name: VarianceScaling
config:
distribution: uniform
mode: fan_avg
scale: 1.0
seed: null
kernel_regularizer: null
kernel_size: !!python/tuple
- 3
- 3
name: conv2d_7
padding: same
strides: *id001
trainable: true
use_bias: true
inbound_nodes:
- - - max_pooling2d_3
- 0
- 0
- {}
name: conv2d_7
- class_name: Dropout
config:
dtype: float32
name: dropout_4
noise_shape: null
rate: 0.2
seed: null
trainable: true
inbound_nodes:
- - - conv2d_7
- 0
- 0
- {}
name: dropout_4
- class_name: Conv2D
config:
activation: elu
activity_regularizer: null
bias_constraint: null
bias_initializer:
class_name: Zeros
config: {}
bias_regularizer: null
data_format: channels_last
dilation_rate: *id001
dtype: float32
filters: 128
kernel_constraint: null
kernel_initializer:
class_name: VarianceScaling
config:
distribution: uniform
mode: fan_avg
scale: 1.0
seed: null
kernel_regularizer: null
kernel_size: !!python/tuple
- 3
- 3
name: conv2d_8
padding: same
strides: *id001
trainable: true
use_bias: true
inbound_nodes:
- - - dropout_4
- 0
- 0
- {}
name: conv2d_8
- class_name: SeparableConv2D
config:
activation: elu
activity_regularizer: null
bias_constraint: null
bias_initializer:
class_name: Zeros
config: {}
bias_regularizer: null
data_format: channels_last
depth_multiplier: 1
depthwise_constraint: null
depthwise_initializer:
class_name: VarianceScaling
config:
distribution: uniform
mode: fan_avg
scale: 1.0
seed: null
depthwise_regularizer: null
dilation_rate: !!python/tuple
- 1
- 1
dtype: float32
filters: 128
kernel_size: !!python/tuple
- 3
- 3
name: separable_conv2d_1
padding: same
pointwise_constraint: null
pointwise_initializer:
class_name: VarianceScaling
config:
distribution: uniform
mode: fan_avg
scale: 1.0
seed: null
pointwise_regularizer: null
strides: &id003 !!python/tuple
- 1
- 1
trainable: true
use_bias: true
inbound_nodes:
- - - conv2d_8
- 0
- 0
- {}
name: separable_conv2d_1
- class_name: SeparableConv2D
config:
activation: elu
activity_regularizer: null
bias_constraint: null
bias_initializer:
class_name: Zeros
config: {}
bias_regularizer: null
data_format: channels_last
depth_multiplier: 1
depthwise_constraint: null
depthwise_initializer:
class_name: VarianceScaling
config:
distribution: uniform
mode: fan_avg
scale: 1.0
seed: null
depthwise_regularizer: null
dilation_rate: !!python/tuple
- 2
- 2
dtype: float32
filters: 128
kernel_size: !!python/tuple
- 3
- 3
name: separable_conv2d_2
padding: same
pointwise_constraint: null
pointwise_initializer:
class_name: VarianceScaling
config:
distribution: uniform
mode: fan_avg
scale: 1.0
seed: null
pointwise_regularizer: null
strides: *id003
trainable: true
use_bias: true
inbound_nodes:
- - - conv2d_8
- 0
- 0
- {}
name: separable_conv2d_2
- class_name: SeparableConv2D
config:
activation: elu
activity_regularizer: null
bias_constraint: null
bias_initializer:
class_name: Zeros
config: {}
bias_regularizer: null
data_format: channels_last
depth_multiplier: 1
depthwise_constraint: null
depthwise_initializer:
class_name: VarianceScaling
config:
distribution: uniform
mode: fan_avg
scale: 1.0
seed: null
depthwise_regularizer: null
dilation_rate: !!python/tuple
- 3
- 3
dtype: float32
filters: 128
kernel_size: !!python/tuple
- 3
- 3
name: separable_conv2d_3
padding: same
pointwise_constraint: null
pointwise_initializer:
class_name: VarianceScaling
config:
distribution: uniform
mode: fan_avg
scale: 1.0
seed: null
pointwise_regularizer: null
strides: *id003
trainable: true
use_bias: true
inbound_nodes:
- - - conv2d_8
- 0
- 0
- {}
name: separable_conv2d_3
- class_name: SeparableConv2D
config:
activation: elu
activity_regularizer: null
bias_constraint: null
bias_initializer:
class_name: Zeros
config: {}
bias_regularizer: null
data_format: channels_last
depth_multiplier: 1
depthwise_constraint: null
depthwise_initializer:
class_name: VarianceScaling
config:
distribution: uniform
mode: fan_avg
scale: 1.0
seed: null
depthwise_regularizer: null
dilation_rate: !!python/tuple
- 4
- 4
dtype: float32
filters: 128
kernel_size: !!python/tuple
- 3
- 3
name: separable_conv2d_4
padding: same
pointwise_constraint: null
pointwise_initializer:
class_name: VarianceScaling
config:
distribution: uniform
mode: fan_avg
scale: 1.0
seed: null
pointwise_regularizer: null
strides: *id003
trainable: true
use_bias: true
inbound_nodes:
- - - conv2d_8
- 0
- 0
- {}
name: separable_conv2d_4
- class_name: SeparableConv2D
config:
activation: elu
activity_regularizer: null
bias_constraint: null
bias_initializer:
class_name: Zeros
config: {}
bias_regularizer: null
data_format: channels_last
depth_multiplier: 1
depthwise_constraint: null
depthwise_initializer:
class_name: VarianceScaling
config:
distribution: uniform
mode: fan_avg
scale: 1.0
seed: null
depthwise_regularizer: null
dilation_rate: !!python/tuple
- 5
- 5
dtype: float32
filters: 128
kernel_size: !!python/tuple
- 3
- 3
name: separable_conv2d_5
padding: same
pointwise_constraint: null
pointwise_initializer:
class_name: VarianceScaling
config:
distribution: uniform
mode: fan_avg
scale: 1.0
seed: null
pointwise_regularizer: null
strides: *id003
trainable: true
use_bias: true
inbound_nodes:
- - - conv2d_8
- 0
- 0
- {}
name: separable_conv2d_5
- class_name: Concatenate
config:
axis: 3
dtype: float32
name: concatenate_1
trainable: true
inbound_nodes:
- - - separable_conv2d_1
- 0
- 0
- &id004 {}
- - separable_conv2d_2
- 0
- 0
- *id004
- - separable_conv2d_3
- 0
- 0
- *id004
- - separable_conv2d_4
- 0
- 0
- *id004
- - separable_conv2d_5
- 0
- 0
- *id004
name: concatenate_1
- class_name: UpSampling2D
config:
data_format: channels_last
dtype: float32
interpolation: nearest
name: up_sampling2d_1
size: *id002
trainable: true
inbound_nodes:
- - - concatenate_1
- 0
- 0
- {}
name: up_sampling2d_1
- class_name: Concatenate
config:
axis: 3
dtype: float32
name: concatenate_2
trainable: true
inbound_nodes:
- - - up_sampling2d_1
- 0
- 0
- &id005 {}
- - conv2d_6
- 0
- 0
- *id005
name: concatenate_2
- class_name: Conv2D
config:
activation: elu
activity_regularizer: null
bias_constraint: null
bias_initializer:
class_name: Zeros
config: {}
bias_regularizer: null
data_format: channels_last
dilation_rate: *id001
dtype: float32
filters: 64
kernel_constraint: null
kernel_initializer:
class_name: VarianceScaling
config:
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