In [1]:
import os
from glob import glob
import pandas as pd
import numpy as np
from sklearn.model_selection import train_test_split
from keras.utils.np_utils import to_categorical # convert to one-hot-encoding
from keras.preprocessing.image import ImageDataGenerator
from keras import layers
from keras import Model
from keras.applications.densenet import DenseNet201
from keras.optimizers import Adam
from keras.callbacks import ReduceLROnPlateau
import keras.backend as K
%matplotlib inline
import matplotlib.pyplot as plt
Using TensorFlow backend.
Load in the Dataset¶
In [2]:
X_train = np.load("/floyd/input/skin_cancer_192_256/256_192_train.npy")
In [3]:
y_train = np.load("/floyd/input/skin_cancer_192_256/train_labels.npy")
In [4]:
X_val = np.load("/floyd/input/skin_cancer_192_256/256_192_val.npy")
In [5]:
y_val = np.load("/floyd/input/skin_cancer_192_256/val_labels.npy")
In [6]:
X_train.shape, X_val.shape
Out[6]:
((8111, 192, 256, 3), (902, 192, 256, 3))
In [7]:
y_train.shape, y_val.shape
Out[7]:
((8111,), (902,))
In [8]:
y_train = to_categorical(y_train)
y_val = to_categorical(y_val)
In [9]:
y_train.shape, y_val.shape
Out[9]:
((8111, 7), (902, 7))
Load the Pretrained Model¶
In [10]:
pre_trained_model = DenseNet201(input_shape=(192, 256, 3), include_top=False, weights="imagenet")
In [11]:
for layer in pre_trained_model.layers:
print(layer.name)
if hasattr(layer, 'moving_mean') and hasattr(layer, 'moving_variance'):
layer.trainable = True
K.eval(K.update(layer.moving_mean, K.zeros_like(layer.moving_mean)))
K.eval(K.update(layer.moving_variance, K.zeros_like(layer.moving_variance)))
else:
layer.trainable = False
print(len(pre_trained_model.layers))
input_1 zero_padding2d_1 conv1/conv conv1/bn conv1/relu zero_padding2d_2 pool1 conv2_block1_0_bn conv2_block1_0_relu conv2_block1_1_conv conv2_block1_1_bn conv2_block1_1_relu conv2_block1_2_conv conv2_block1_concat conv2_block2_0_bn conv2_block2_0_relu conv2_block2_1_conv conv2_block2_1_bn conv2_block2_1_relu conv2_block2_2_conv conv2_block2_concat conv2_block3_0_bn conv2_block3_0_relu conv2_block3_1_conv conv2_block3_1_bn conv2_block3_1_relu conv2_block3_2_conv conv2_block3_concat conv2_block4_0_bn conv2_block4_0_relu conv2_block4_1_conv conv2_block4_1_bn conv2_block4_1_relu conv2_block4_2_conv conv2_block4_concat conv2_block5_0_bn conv2_block5_0_relu conv2_block5_1_conv conv2_block5_1_bn conv2_block5_1_relu conv2_block5_2_conv conv2_block5_concat conv2_block6_0_bn conv2_block6_0_relu conv2_block6_1_conv conv2_block6_1_bn conv2_block6_1_relu conv2_block6_2_conv conv2_block6_concat pool2_bn pool2_relu pool2_conv pool2_pool conv3_block1_0_bn conv3_block1_0_relu conv3_block1_1_conv conv3_block1_1_bn conv3_block1_1_relu conv3_block1_2_conv conv3_block1_concat conv3_block2_0_bn conv3_block2_0_relu conv3_block2_1_conv conv3_block2_1_bn conv3_block2_1_relu conv3_block2_2_conv conv3_block2_concat conv3_block3_0_bn conv3_block3_0_relu conv3_block3_1_conv conv3_block3_1_bn conv3_block3_1_relu conv3_block3_2_conv conv3_block3_concat conv3_block4_0_bn conv3_block4_0_relu conv3_block4_1_conv conv3_block4_1_bn conv3_block4_1_relu conv3_block4_2_conv conv3_block4_concat conv3_block5_0_bn conv3_block5_0_relu conv3_block5_1_conv conv3_block5_1_bn conv3_block5_1_relu conv3_block5_2_conv conv3_block5_concat conv3_block6_0_bn conv3_block6_0_relu conv3_block6_1_conv conv3_block6_1_bn conv3_block6_1_relu conv3_block6_2_conv conv3_block6_concat conv3_block7_0_bn conv3_block7_0_relu conv3_block7_1_conv conv3_block7_1_bn conv3_block7_1_relu conv3_block7_2_conv conv3_block7_concat conv3_block8_0_bn conv3_block8_0_relu conv3_block8_1_conv conv3_block8_1_bn conv3_block8_1_relu conv3_block8_2_conv conv3_block8_concat conv3_block9_0_bn conv3_block9_0_relu conv3_block9_1_conv conv3_block9_1_bn conv3_block9_1_relu conv3_block9_2_conv conv3_block9_concat conv3_block10_0_bn conv3_block10_0_relu conv3_block10_1_conv conv3_block10_1_bn conv3_block10_1_relu conv3_block10_2_conv conv3_block10_concat conv3_block11_0_bn conv3_block11_0_relu conv3_block11_1_conv conv3_block11_1_bn conv3_block11_1_relu conv3_block11_2_conv conv3_block11_concat conv3_block12_0_bn conv3_block12_0_relu conv3_block12_1_conv conv3_block12_1_bn conv3_block12_1_relu conv3_block12_2_conv conv3_block12_concat pool3_bn pool3_relu pool3_conv pool3_pool conv4_block1_0_bn conv4_block1_0_relu conv4_block1_1_conv conv4_block1_1_bn conv4_block1_1_relu conv4_block1_2_conv conv4_block1_concat conv4_block2_0_bn conv4_block2_0_relu conv4_block2_1_conv conv4_block2_1_bn conv4_block2_1_relu conv4_block2_2_conv conv4_block2_concat conv4_block3_0_bn conv4_block3_0_relu conv4_block3_1_conv conv4_block3_1_bn conv4_block3_1_relu conv4_block3_2_conv conv4_block3_concat conv4_block4_0_bn conv4_block4_0_relu conv4_block4_1_conv conv4_block4_1_bn conv4_block4_1_relu conv4_block4_2_conv conv4_block4_concat conv4_block5_0_bn conv4_block5_0_relu conv4_block5_1_conv conv4_block5_1_bn conv4_block5_1_relu conv4_block5_2_conv conv4_block5_concat conv4_block6_0_bn conv4_block6_0_relu conv4_block6_1_conv conv4_block6_1_bn conv4_block6_1_relu conv4_block6_2_conv conv4_block6_concat conv4_block7_0_bn conv4_block7_0_relu conv4_block7_1_conv conv4_block7_1_bn conv4_block7_1_relu conv4_block7_2_conv conv4_block7_concat conv4_block8_0_bn conv4_block8_0_relu conv4_block8_1_conv conv4_block8_1_bn conv4_block8_1_relu conv4_block8_2_conv conv4_block8_concat conv4_block9_0_bn conv4_block9_0_relu conv4_block9_1_conv conv4_block9_1_bn conv4_block9_1_relu conv4_block9_2_conv conv4_block9_concat conv4_block10_0_bn conv4_block10_0_relu conv4_block10_1_conv conv4_block10_1_bn conv4_block10_1_relu conv4_block10_2_conv 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conv5_block25_concat conv5_block26_0_bn conv5_block26_0_relu conv5_block26_1_conv conv5_block26_1_bn conv5_block26_1_relu conv5_block26_2_conv conv5_block26_concat conv5_block27_0_bn conv5_block27_0_relu conv5_block27_1_conv conv5_block27_1_bn conv5_block27_1_relu conv5_block27_2_conv conv5_block27_concat conv5_block28_0_bn conv5_block28_0_relu conv5_block28_1_conv conv5_block28_1_bn conv5_block28_1_relu conv5_block28_2_conv conv5_block28_concat conv5_block29_0_bn conv5_block29_0_relu conv5_block29_1_conv conv5_block29_1_bn conv5_block29_1_relu conv5_block29_2_conv conv5_block29_concat conv5_block30_0_bn conv5_block30_0_relu conv5_block30_1_conv conv5_block30_1_bn conv5_block30_1_relu conv5_block30_2_conv conv5_block30_concat conv5_block31_0_bn conv5_block31_0_relu conv5_block31_1_conv conv5_block31_1_bn conv5_block31_1_relu conv5_block31_2_conv conv5_block31_concat conv5_block32_0_bn conv5_block32_0_relu conv5_block32_1_conv conv5_block32_1_bn conv5_block32_1_relu conv5_block32_2_conv conv5_block32_concat bn relu 707
In [12]:
last_layer = pre_trained_model.get_layer('relu')
print('last layer output shape:', last_layer.output_shape)
last_output = last_layer.output
last layer output shape: (None, 6, 8, 1920)
Define the Model¶
In [13]:
# Flatten the output layer to 1 dimension
x = layers.GlobalMaxPooling2D()(last_output)
# Add a fully connected layer with 512 hidden units and ReLU activation
x = layers.Dense(512, activation='relu')(x)
# Add a dropout rate of 0.7
x = layers.Dropout(0.5)(x)
# Add a final sigmoid layer for classification
x = layers.Dense(7, activation='softmax')(x)
# Configure and compile the model
model = Model(pre_trained_model.input, x)
optimizer = Adam(lr=0.0001, beta_1=0.9, beta_2=0.999, epsilon=None, decay=0.0, amsgrad=True)
model.compile(loss='categorical_crossentropy',
optimizer=optimizer,
metrics=['accuracy'])
In [14]:
model.summary()
__________________________________________________________________________________________________
Layer (type) Output Shape Param # Connected to
==================================================================================================
input_1 (InputLayer) (None, 192, 256, 3) 0
__________________________________________________________________________________________________
zero_padding2d_1 (ZeroPadding2D (None, 198, 262, 3) 0 input_1[0][0]
__________________________________________________________________________________________________
conv1/conv (Conv2D) (None, 96, 128, 64) 9408 zero_padding2d_1[0][0]
__________________________________________________________________________________________________
conv1/bn (BatchNormalization) (None, 96, 128, 64) 256 conv1/conv[0][0]
__________________________________________________________________________________________________
conv1/relu (Activation) (None, 96, 128, 64) 0 conv1/bn[0][0]
__________________________________________________________________________________________________
zero_padding2d_2 (ZeroPadding2D (None, 98, 130, 64) 0 conv1/relu[0][0]
__________________________________________________________________________________________________
pool1 (MaxPooling2D) (None, 48, 64, 64) 0 zero_padding2d_2[0][0]
__________________________________________________________________________________________________
conv2_block1_0_bn (BatchNormali (None, 48, 64, 64) 256 pool1[0][0]
__________________________________________________________________________________________________
conv2_block1_0_relu (Activation (None, 48, 64, 64) 0 conv2_block1_0_bn[0][0]
__________________________________________________________________________________________________
conv2_block1_1_conv (Conv2D) (None, 48, 64, 128) 8192 conv2_block1_0_relu[0][0]
__________________________________________________________________________________________________
conv2_block1_1_bn (BatchNormali (None, 48, 64, 128) 512 conv2_block1_1_conv[0][0]
__________________________________________________________________________________________________
conv2_block1_1_relu (Activation (None, 48, 64, 128) 0 conv2_block1_1_bn[0][0]
__________________________________________________________________________________________________
conv2_block1_2_conv (Conv2D) (None, 48, 64, 32) 36864 conv2_block1_1_relu[0][0]
__________________________________________________________________________________________________
conv2_block1_concat (Concatenat (None, 48, 64, 96) 0 pool1[0][0]
conv2_block1_2_conv[0][0]
__________________________________________________________________________________________________
conv2_block2_0_bn (BatchNormali (None, 48, 64, 96) 384 conv2_block1_concat[0][0]
__________________________________________________________________________________________________
conv2_block2_0_relu (Activation (None, 48, 64, 96) 0 conv2_block2_0_bn[0][0]
__________________________________________________________________________________________________
conv2_block2_1_conv (Conv2D) (None, 48, 64, 128) 12288 conv2_block2_0_relu[0][0]
__________________________________________________________________________________________________
conv2_block2_1_bn (BatchNormali (None, 48, 64, 128) 512 conv2_block2_1_conv[0][0]
__________________________________________________________________________________________________
conv2_block2_1_relu (Activation (None, 48, 64, 128) 0 conv2_block2_1_bn[0][0]
__________________________________________________________________________________________________
conv2_block2_2_conv (Conv2D) (None, 48, 64, 32) 36864 conv2_block2_1_relu[0][0]
__________________________________________________________________________________________________
conv2_block2_concat (Concatenat (None, 48, 64, 128) 0 conv2_block1_concat[0][0]
conv2_block2_2_conv[0][0]
__________________________________________________________________________________________________
conv2_block3_0_bn (BatchNormali (None, 48, 64, 128) 512 conv2_block2_concat[0][0]
__________________________________________________________________________________________________
conv2_block3_0_relu (Activation (None, 48, 64, 128) 0 conv2_block3_0_bn[0][0]
__________________________________________________________________________________________________
conv2_block3_1_conv (Conv2D) (None, 48, 64, 128) 16384 conv2_block3_0_relu[0][0]
__________________________________________________________________________________________________
conv2_block3_1_bn (BatchNormali (None, 48, 64, 128) 512 conv2_block3_1_conv[0][0]
__________________________________________________________________________________________________
conv2_block3_1_relu (Activation (None, 48, 64, 128) 0 conv2_block3_1_bn[0][0]
__________________________________________________________________________________________________
conv2_block3_2_conv (Conv2D) (None, 48, 64, 32) 36864 conv2_block3_1_relu[0][0]
__________________________________________________________________________________________________
conv2_block3_concat (Concatenat (None, 48, 64, 160) 0 conv2_block2_concat[0][0]
conv2_block3_2_conv[0][0]
__________________________________________________________________________________________________
conv2_block4_0_bn (BatchNormali (None, 48, 64, 160) 640 conv2_block3_concat[0][0]
__________________________________________________________________________________________________
conv2_block4_0_relu (Activation (None, 48, 64, 160) 0 conv2_block4_0_bn[0][0]
__________________________________________________________________________________________________
conv2_block4_1_conv (Conv2D) (None, 48, 64, 128) 20480 conv2_block4_0_relu[0][0]
__________________________________________________________________________________________________
conv2_block4_1_bn (BatchNormali (None, 48, 64, 128) 512 conv2_block4_1_conv[0][0]
__________________________________________________________________________________________________
conv2_block4_1_relu (Activation (None, 48, 64, 128) 0 conv2_block4_1_bn[0][0]
__________________________________________________________________________________________________
conv2_block4_2_conv (Conv2D) (None, 48, 64, 32) 36864 conv2_block4_1_relu[0][0]
__________________________________________________________________________________________________
conv2_block4_concat (Concatenat (None, 48, 64, 192) 0 conv2_block3_concat[0][0]
conv2_block4_2_conv[0][0]
__________________________________________________________________________________________________
conv2_block5_0_bn (BatchNormali (None, 48, 64, 192) 768 conv2_block4_concat[0][0]
__________________________________________________________________________________________________
conv2_block5_0_relu (Activation (None, 48, 64, 192) 0 conv2_block5_0_bn[0][0]
__________________________________________________________________________________________________
conv2_block5_1_conv (Conv2D) (None, 48, 64, 128) 24576 conv2_block5_0_relu[0][0]
__________________________________________________________________________________________________
conv2_block5_1_bn (BatchNormali (None, 48, 64, 128) 512 conv2_block5_1_conv[0][0]
__________________________________________________________________________________________________
conv2_block5_1_relu (Activation (None, 48, 64, 128) 0 conv2_block5_1_bn[0][0]
__________________________________________________________________________________________________
conv2_block5_2_conv (Conv2D) (None, 48, 64, 32) 36864 conv2_block5_1_relu[0][0]
__________________________________________________________________________________________________
conv2_block5_concat (Concatenat (None, 48, 64, 224) 0 conv2_block4_concat[0][0]
conv2_block5_2_conv[0][0]
__________________________________________________________________________________________________
conv2_block6_0_bn (BatchNormali (None, 48, 64, 224) 896 conv2_block5_concat[0][0]
__________________________________________________________________________________________________
conv2_block6_0_relu (Activation (None, 48, 64, 224) 0 conv2_block6_0_bn[0][0]
__________________________________________________________________________________________________
conv2_block6_1_conv (Conv2D) (None, 48, 64, 128) 28672 conv2_block6_0_relu[0][0]
__________________________________________________________________________________________________
conv2_block6_1_bn (BatchNormali (None, 48, 64, 128) 512 conv2_block6_1_conv[0][0]
__________________________________________________________________________________________________
conv2_block6_1_relu (Activation (None, 48, 64, 128) 0 conv2_block6_1_bn[0][0]
__________________________________________________________________________________________________
conv2_block6_2_conv (Conv2D) (None, 48, 64, 32) 36864 conv2_block6_1_relu[0][0]
__________________________________________________________________________________________________
conv2_block6_concat (Concatenat (None, 48, 64, 256) 0 conv2_block5_concat[0][0]
conv2_block6_2_conv[0][0]
__________________________________________________________________________________________________
pool2_bn (BatchNormalization) (None, 48, 64, 256) 1024 conv2_block6_concat[0][0]
__________________________________________________________________________________________________
pool2_relu (Activation) (None, 48, 64, 256) 0 pool2_bn[0][0]
__________________________________________________________________________________________________
pool2_conv (Conv2D) (None, 48, 64, 128) 32768 pool2_relu[0][0]
__________________________________________________________________________________________________
pool2_pool (AveragePooling2D) (None, 24, 32, 128) 0 pool2_conv[0][0]
__________________________________________________________________________________________________
conv3_block1_0_bn (BatchNormali (None, 24, 32, 128) 512 pool2_pool[0][0]
__________________________________________________________________________________________________
conv3_block1_0_relu (Activation (None, 24, 32, 128) 0 conv3_block1_0_bn[0][0]
__________________________________________________________________________________________________
conv3_block1_1_conv (Conv2D) (None, 24, 32, 128) 16384 conv3_block1_0_relu[0][0]
__________________________________________________________________________________________________
conv3_block1_1_bn (BatchNormali (None, 24, 32, 128) 512 conv3_block1_1_conv[0][0]
__________________________________________________________________________________________________
conv3_block1_1_relu (Activation (None, 24, 32, 128) 0 conv3_block1_1_bn[0][0]
__________________________________________________________________________________________________
conv3_block1_2_conv (Conv2D) (None, 24, 32, 32) 36864 conv3_block1_1_relu[0][0]
__________________________________________________________________________________________________
conv3_block1_concat (Concatenat (None, 24, 32, 160) 0 pool2_pool[0][0]
conv3_block1_2_conv[0][0]
__________________________________________________________________________________________________
conv3_block2_0_bn (BatchNormali (None, 24, 32, 160) 640 conv3_block1_concat[0][0]
__________________________________________________________________________________________________
conv3_block2_0_relu (Activation (None, 24, 32, 160) 0 conv3_block2_0_bn[0][0]
__________________________________________________________________________________________________
conv3_block2_1_conv (Conv2D) (None, 24, 32, 128) 20480 conv3_block2_0_relu[0][0]
__________________________________________________________________________________________________
conv3_block2_1_bn (BatchNormali (None, 24, 32, 128) 512 conv3_block2_1_conv[0][0]
__________________________________________________________________________________________________
conv3_block2_1_relu (Activation (None, 24, 32, 128) 0 conv3_block2_1_bn[0][0]
__________________________________________________________________________________________________
conv3_block2_2_conv (Conv2D) (None, 24, 32, 32) 36864 conv3_block2_1_relu[0][0]
__________________________________________________________________________________________________
conv3_block2_concat (Concatenat (None, 24, 32, 192) 0 conv3_block1_concat[0][0]
conv3_block2_2_conv[0][0]
__________________________________________________________________________________________________
conv3_block3_0_bn (BatchNormali (None, 24, 32, 192) 768 conv3_block2_concat[0][0]
__________________________________________________________________________________________________
conv3_block3_0_relu (Activation (None, 24, 32, 192) 0 conv3_block3_0_bn[0][0]
__________________________________________________________________________________________________
conv3_block3_1_conv (Conv2D) (None, 24, 32, 128) 24576 conv3_block3_0_relu[0][0]
__________________________________________________________________________________________________
conv3_block3_1_bn (BatchNormali (None, 24, 32, 128) 512 conv3_block3_1_conv[0][0]
__________________________________________________________________________________________________
conv3_block3_1_relu (Activation (None, 24, 32, 128) 0 conv3_block3_1_bn[0][0]
__________________________________________________________________________________________________
conv3_block3_2_conv (Conv2D) (None, 24, 32, 32) 36864 conv3_block3_1_relu[0][0]
__________________________________________________________________________________________________
conv3_block3_concat (Concatenat (None, 24, 32, 224) 0 conv3_block2_concat[0][0]
conv3_block3_2_conv[0][0]
__________________________________________________________________________________________________
conv3_block4_0_bn (BatchNormali (None, 24, 32, 224) 896 conv3_block3_concat[0][0]
__________________________________________________________________________________________________
conv3_block4_0_relu (Activation (None, 24, 32, 224) 0 conv3_block4_0_bn[0][0]
__________________________________________________________________________________________________
conv3_block4_1_conv (Conv2D) (None, 24, 32, 128) 28672 conv3_block4_0_relu[0][0]
__________________________________________________________________________________________________
conv3_block4_1_bn (BatchNormali (None, 24, 32, 128) 512 conv3_block4_1_conv[0][0]
__________________________________________________________________________________________________
conv3_block4_1_relu (Activation (None, 24, 32, 128) 0 conv3_block4_1_bn[0][0]
__________________________________________________________________________________________________
conv3_block4_2_conv (Conv2D) (None, 24, 32, 32) 36864 conv3_block4_1_relu[0][0]
__________________________________________________________________________________________________
conv3_block4_concat (Concatenat (None, 24, 32, 256) 0 conv3_block3_concat[0][0]
conv3_block4_2_conv[0][0]
__________________________________________________________________________________________________
conv3_block5_0_bn (BatchNormali (None, 24, 32, 256) 1024 conv3_block4_concat[0][0]
__________________________________________________________________________________________________
conv3_block5_0_relu (Activation (None, 24, 32, 256) 0 conv3_block5_0_bn[0][0]
__________________________________________________________________________________________________
conv3_block5_1_conv (Conv2D) (None, 24, 32, 128) 32768 conv3_block5_0_relu[0][0]
__________________________________________________________________________________________________
conv3_block5_1_bn (BatchNormali (None, 24, 32, 128) 512 conv3_block5_1_conv[0][0]
__________________________________________________________________________________________________
conv3_block5_1_relu (Activation (None, 24, 32, 128) 0 conv3_block5_1_bn[0][0]
__________________________________________________________________________________________________
conv3_block5_2_conv (Conv2D) (None, 24, 32, 32) 36864 conv3_block5_1_relu[0][0]
__________________________________________________________________________________________________
conv3_block5_concat (Concatenat (None, 24, 32, 288) 0 conv3_block4_concat[0][0]
conv3_block5_2_conv[0][0]
__________________________________________________________________________________________________
conv3_block6_0_bn (BatchNormali (None, 24, 32, 288) 1152 conv3_block5_concat[0][0]
__________________________________________________________________________________________________
conv3_block6_0_relu (Activation (None, 24, 32, 288) 0 conv3_block6_0_bn[0][0]
__________________________________________________________________________________________________
conv3_block6_1_conv (Conv2D) (None, 24, 32, 128) 36864 conv3_block6_0_relu[0][0]
__________________________________________________________________________________________________
conv3_block6_1_bn (BatchNormali (None, 24, 32, 128) 512 conv3_block6_1_conv[0][0]
__________________________________________________________________________________________________
conv3_block6_1_relu (Activation (None, 24, 32, 128) 0 conv3_block6_1_bn[0][0]
__________________________________________________________________________________________________
conv3_block6_2_conv (Conv2D) (None, 24, 32, 32) 36864 conv3_block6_1_relu[0][0]
__________________________________________________________________________________________________
conv3_block6_concat (Concatenat (None, 24, 32, 320) 0 conv3_block5_concat[0][0]
conv3_block6_2_conv[0][0]
__________________________________________________________________________________________________
conv3_block7_0_bn (BatchNormali (None, 24, 32, 320) 1280 conv3_block6_concat[0][0]
__________________________________________________________________________________________________
conv3_block7_0_relu (Activation (None, 24, 32, 320) 0 conv3_block7_0_bn[0][0]
__________________________________________________________________________________________________
conv3_block7_1_conv (Conv2D) (None, 24, 32, 128) 40960 conv3_block7_0_relu[0][0]
__________________________________________________________________________________________________
conv3_block7_1_bn (BatchNormali (None, 24, 32, 128) 512 conv3_block7_1_conv[0][0]
__________________________________________________________________________________________________
conv3_block7_1_relu (Activation (None, 24, 32, 128) 0 conv3_block7_1_bn[0][0]
__________________________________________________________________________________________________
conv3_block7_2_conv (Conv2D) (None, 24, 32, 32) 36864 conv3_block7_1_relu[0][0]
__________________________________________________________________________________________________
conv3_block7_concat (Concatenat (None, 24, 32, 352) 0 conv3_block6_concat[0][0]
conv3_block7_2_conv[0][0]
__________________________________________________________________________________________________
conv3_block8_0_bn (BatchNormali (None, 24, 32, 352) 1408 conv3_block7_concat[0][0]
__________________________________________________________________________________________________
conv3_block8_0_relu (Activation (None, 24, 32, 352) 0 conv3_block8_0_bn[0][0]
__________________________________________________________________________________________________
conv3_block8_1_conv (Conv2D) (None, 24, 32, 128) 45056 conv3_block8_0_relu[0][0]
__________________________________________________________________________________________________
conv3_block8_1_bn (BatchNormali (None, 24, 32, 128) 512 conv3_block8_1_conv[0][0]
__________________________________________________________________________________________________
conv3_block8_1_relu (Activation (None, 24, 32, 128) 0 conv3_block8_1_bn[0][0]
__________________________________________________________________________________________________
conv3_block8_2_conv (Conv2D) (None, 24, 32, 32) 36864 conv3_block8_1_relu[0][0]
__________________________________________________________________________________________________
conv3_block8_concat (Concatenat (None, 24, 32, 384) 0 conv3_block7_concat[0][0]
conv3_block8_2_conv[0][0]
__________________________________________________________________________________________________
conv3_block9_0_bn (BatchNormali (None, 24, 32, 384) 1536 conv3_block8_concat[0][0]
__________________________________________________________________________________________________
conv3_block9_0_relu (Activation (None, 24, 32, 384) 0 conv3_block9_0_bn[0][0]
__________________________________________________________________________________________________
conv3_block9_1_conv (Conv2D) (None, 24, 32, 128) 49152 conv3_block9_0_relu[0][0]
__________________________________________________________________________________________________
conv3_block9_1_bn (BatchNormali (None, 24, 32, 128) 512 conv3_block9_1_conv[0][0]
__________________________________________________________________________________________________
conv3_block9_1_relu (Activation (None, 24, 32, 128) 0 conv3_block9_1_bn[0][0]
__________________________________________________________________________________________________
conv3_block9_2_conv (Conv2D) (None, 24, 32, 32) 36864 conv3_block9_1_relu[0][0]
__________________________________________________________________________________________________
conv3_block9_concat (Concatenat (None, 24, 32, 416) 0 conv3_block8_concat[0][0]
conv3_block9_2_conv[0][0]
__________________________________________________________________________________________________
conv3_block10_0_bn (BatchNormal (None, 24, 32, 416) 1664 conv3_block9_concat[0][0]
__________________________________________________________________________________________________
conv3_block10_0_relu (Activatio (None, 24, 32, 416) 0 conv3_block10_0_bn[0][0]
__________________________________________________________________________________________________
conv3_block10_1_conv (Conv2D) (None, 24, 32, 128) 53248 conv3_block10_0_relu[0][0]
__________________________________________________________________________________________________
conv3_block10_1_bn (BatchNormal (None, 24, 32, 128) 512 conv3_block10_1_conv[0][0]
__________________________________________________________________________________________________
conv3_block10_1_relu (Activatio (None, 24, 32, 128) 0 conv3_block10_1_bn[0][0]
__________________________________________________________________________________________________
conv3_block10_2_conv (Conv2D) (None, 24, 32, 32) 36864 conv3_block10_1_relu[0][0]
__________________________________________________________________________________________________
conv3_block10_concat (Concatena (None, 24, 32, 448) 0 conv3_block9_concat[0][0]
conv3_block10_2_conv[0][0]
__________________________________________________________________________________________________
conv3_block11_0_bn (BatchNormal (None, 24, 32, 448) 1792 conv3_block10_concat[0][0]
__________________________________________________________________________________________________
conv3_block11_0_relu (Activatio (None, 24, 32, 448) 0 conv3_block11_0_bn[0][0]
__________________________________________________________________________________________________
conv3_block11_1_conv (Conv2D) (None, 24, 32, 128) 57344 conv3_block11_0_relu[0][0]
__________________________________________________________________________________________________
conv3_block11_1_bn (BatchNormal (None, 24, 32, 128) 512 conv3_block11_1_conv[0][0]
__________________________________________________________________________________________________
conv3_block11_1_relu (Activatio (None, 24, 32, 128) 0 conv3_block11_1_bn[0][0]
__________________________________________________________________________________________________
conv3_block11_2_conv (Conv2D) (None, 24, 32, 32) 36864 conv3_block11_1_relu[0][0]
__________________________________________________________________________________________________
conv3_block11_concat (Concatena (None, 24, 32, 480) 0 conv3_block10_concat[0][0]
conv3_block11_2_conv[0][0]
__________________________________________________________________________________________________
conv3_block12_0_bn (BatchNormal (None, 24, 32, 480) 1920 conv3_block11_concat[0][0]
__________________________________________________________________________________________________
conv3_block12_0_relu (Activatio (None, 24, 32, 480) 0 conv3_block12_0_bn[0][0]
__________________________________________________________________________________________________
conv3_block12_1_conv (Conv2D) (None, 24, 32, 128) 61440 conv3_block12_0_relu[0][0]
__________________________________________________________________________________________________
conv3_block12_1_bn (BatchNormal (None, 24, 32, 128) 512 conv3_block12_1_conv[0][0]
__________________________________________________________________________________________________
conv3_block12_1_relu (Activatio (None, 24, 32, 128) 0 conv3_block12_1_bn[0][0]
__________________________________________________________________________________________________
conv3_block12_2_conv (Conv2D) (None, 24, 32, 32) 36864 conv3_block12_1_relu[0][0]
__________________________________________________________________________________________________
conv3_block12_concat (Concatena (None, 24, 32, 512) 0 conv3_block11_concat[0][0]
conv3_block12_2_conv[0][0]
__________________________________________________________________________________________________
pool3_bn (BatchNormalization) (None, 24, 32, 512) 2048 conv3_block12_concat[0][0]
__________________________________________________________________________________________________
pool3_relu (Activation) (None, 24, 32, 512) 0 pool3_bn[0][0]
__________________________________________________________________________________________________
pool3_conv (Conv2D) (None, 24, 32, 256) 131072 pool3_relu[0][0]
__________________________________________________________________________________________________
pool3_pool (AveragePooling2D) (None, 12, 16, 256) 0 pool3_conv[0][0]
__________________________________________________________________________________________________
conv4_block1_0_bn (BatchNormali (None, 12, 16, 256) 1024 pool3_pool[0][0]
__________________________________________________________________________________________________
conv4_block1_0_relu (Activation (None, 12, 16, 256) 0 conv4_block1_0_bn[0][0]
__________________________________________________________________________________________________
conv4_block1_1_conv (Conv2D) (None, 12, 16, 128) 32768 conv4_block1_0_relu[0][0]
__________________________________________________________________________________________________
conv4_block1_1_bn (BatchNormali (None, 12, 16, 128) 512 conv4_block1_1_conv[0][0]
__________________________________________________________________________________________________
conv4_block1_1_relu (Activation (None, 12, 16, 128) 0 conv4_block1_1_bn[0][0]
__________________________________________________________________________________________________
conv4_block1_2_conv (Conv2D) (None, 12, 16, 32) 36864 conv4_block1_1_relu[0][0]
__________________________________________________________________________________________________
conv4_block1_concat (Concatenat (None, 12, 16, 288) 0 pool3_pool[0][0]
conv4_block1_2_conv[0][0]
__________________________________________________________________________________________________
conv4_block2_0_bn (BatchNormali (None, 12, 16, 288) 1152 conv4_block1_concat[0][0]
__________________________________________________________________________________________________
conv4_block2_0_relu (Activation (None, 12, 16, 288) 0 conv4_block2_0_bn[0][0]
__________________________________________________________________________________________________
conv4_block2_1_conv (Conv2D) (None, 12, 16, 128) 36864 conv4_block2_0_relu[0][0]
__________________________________________________________________________________________________
conv4_block2_1_bn (BatchNormali (None, 12, 16, 128) 512 conv4_block2_1_conv[0][0]
__________________________________________________________________________________________________
conv4_block2_1_relu (Activation (None, 12, 16, 128) 0 conv4_block2_1_bn[0][0]
__________________________________________________________________________________________________
conv4_block2_2_conv (Conv2D) (None, 12, 16, 32) 36864 conv4_block2_1_relu[0][0]
__________________________________________________________________________________________________
conv4_block2_concat (Concatenat (None, 12, 16, 320) 0 conv4_block1_concat[0][0]
conv4_block2_2_conv[0][0]
__________________________________________________________________________________________________
conv4_block3_0_bn (BatchNormali (None, 12, 16, 320) 1280 conv4_block2_concat[0][0]
__________________________________________________________________________________________________
conv4_block3_0_relu (Activation (None, 12, 16, 320) 0 conv4_block3_0_bn[0][0]
__________________________________________________________________________________________________
conv4_block3_1_conv (Conv2D) (None, 12, 16, 128) 40960 conv4_block3_0_relu[0][0]
__________________________________________________________________________________________________
conv4_block3_1_bn (BatchNormali (None, 12, 16, 128) 512 conv4_block3_1_conv[0][0]
__________________________________________________________________________________________________
conv4_block3_1_relu (Activation (None, 12, 16, 128) 0 conv4_block3_1_bn[0][0]
__________________________________________________________________________________________________
conv4_block3_2_conv (Conv2D) (None, 12, 16, 32) 36864 conv4_block3_1_relu[0][0]
__________________________________________________________________________________________________
conv4_block3_concat (Concatenat (None, 12, 16, 352) 0 conv4_block2_concat[0][0]
conv4_block3_2_conv[0][0]
__________________________________________________________________________________________________
conv4_block4_0_bn (BatchNormali (None, 12, 16, 352) 1408 conv4_block3_concat[0][0]
__________________________________________________________________________________________________
conv4_block4_0_relu (Activation (None, 12, 16, 352) 0 conv4_block4_0_bn[0][0]
__________________________________________________________________________________________________
conv4_block4_1_conv (Conv2D) (None, 12, 16, 128) 45056 conv4_block4_0_relu[0][0]
__________________________________________________________________________________________________
conv4_block4_1_bn (BatchNormali (None, 12, 16, 128) 512 conv4_block4_1_conv[0][0]
__________________________________________________________________________________________________
conv4_block4_1_relu (Activation (None, 12, 16, 128) 0 conv4_block4_1_bn[0][0]
__________________________________________________________________________________________________
conv4_block4_2_conv (Conv2D) (None, 12, 16, 32) 36864 conv4_block4_1_relu[0][0]
__________________________________________________________________________________________________
conv4_block4_concat (Concatenat (None, 12, 16, 384) 0 conv4_block3_concat[0][0]
conv4_block4_2_conv[0][0]
__________________________________________________________________________________________________
conv4_block5_0_bn (BatchNormali (None, 12, 16, 384) 1536 conv4_block4_concat[0][0]
__________________________________________________________________________________________________
conv4_block5_0_relu (Activation (None, 12, 16, 384) 0 conv4_block5_0_bn[0][0]
__________________________________________________________________________________________________
conv4_block5_1_conv (Conv2D) (None, 12, 16, 128) 49152 conv4_block5_0_relu[0][0]
__________________________________________________________________________________________________
conv4_block5_1_bn (BatchNormali (None, 12, 16, 128) 512 conv4_block5_1_conv[0][0]
__________________________________________________________________________________________________
conv4_block5_1_relu (Activation (None, 12, 16, 128) 0 conv4_block5_1_bn[0][0]
__________________________________________________________________________________________________
conv4_block5_2_conv (Conv2D) (None, 12, 16, 32) 36864 conv4_block5_1_relu[0][0]
__________________________________________________________________________________________________
conv4_block5_concat (Concatenat (None, 12, 16, 416) 0 conv4_block4_concat[0][0]
conv4_block5_2_conv[0][0]
__________________________________________________________________________________________________
conv4_block6_0_bn (BatchNormali (None, 12, 16, 416) 1664 conv4_block5_concat[0][0]
__________________________________________________________________________________________________
conv4_block6_0_relu (Activation (None, 12, 16, 416) 0 conv4_block6_0_bn[0][0]
__________________________________________________________________________________________________
conv4_block6_1_conv (Conv2D) (None, 12, 16, 128) 53248 conv4_block6_0_relu[0][0]
__________________________________________________________________________________________________
conv4_block6_1_bn (BatchNormali (None, 12, 16, 128) 512 conv4_block6_1_conv[0][0]
__________________________________________________________________________________________________
conv4_block6_1_relu (Activation (None, 12, 16, 128) 0 conv4_block6_1_bn[0][0]
__________________________________________________________________________________________________
conv4_block6_2_conv (Conv2D) (None, 12, 16, 32) 36864 conv4_block6_1_relu[0][0]
__________________________________________________________________________________________________
conv4_block6_concat (Concatenat (None, 12, 16, 448) 0 conv4_block5_concat[0][0]
conv4_block6_2_conv[0][0]
__________________________________________________________________________________________________
conv4_block7_0_bn (BatchNormali (None, 12, 16, 448) 1792 conv4_block6_concat[0][0]
__________________________________________________________________________________________________
conv4_block7_0_relu (Activation (None, 12, 16, 448) 0 conv4_block7_0_bn[0][0]
__________________________________________________________________________________________________
conv4_block7_1_conv (Conv2D) (None, 12, 16, 128) 57344 conv4_block7_0_relu[0][0]
__________________________________________________________________________________________________
conv4_block7_1_bn (BatchNormali (None, 12, 16, 128) 512 conv4_block7_1_conv[0][0]
__________________________________________________________________________________________________
conv4_block7_1_relu (Activation (None, 12, 16, 128) 0 conv4_block7_1_bn[0][0]
__________________________________________________________________________________________________
conv4_block7_2_conv (Conv2D) (None, 12, 16, 32) 36864 conv4_block7_1_relu[0][0]
__________________________________________________________________________________________________
conv4_block7_concat (Concatenat (None, 12, 16, 480) 0 conv4_block6_concat[0][0]
conv4_block7_2_conv[0][0]
__________________________________________________________________________________________________
conv4_block8_0_bn (BatchNormali (None, 12, 16, 480) 1920 conv4_block7_concat[0][0]
__________________________________________________________________________________________________
conv4_block8_0_relu (Activation (None, 12, 16, 480) 0 conv4_block8_0_bn[0][0]
__________________________________________________________________________________________________
conv4_block8_1_conv (Conv2D) (None, 12, 16, 128) 61440 conv4_block8_0_relu[0][0]
__________________________________________________________________________________________________
conv4_block8_1_bn (BatchNormali (None, 12, 16, 128) 512 conv4_block8_1_conv[0][0]
__________________________________________________________________________________________________
conv4_block8_1_relu (Activation (None, 12, 16, 128) 0 conv4_block8_1_bn[0][0]
__________________________________________________________________________________________________
conv4_block8_2_conv (Conv2D) (None, 12, 16, 32) 36864 conv4_block8_1_relu[0][0]
__________________________________________________________________________________________________
conv4_block8_concat (Concatenat (None, 12, 16, 512) 0 conv4_block7_concat[0][0]
conv4_block8_2_conv[0][0]
__________________________________________________________________________________________________
conv4_block9_0_bn (BatchNormali (None, 12, 16, 512) 2048 conv4_block8_concat[0][0]
__________________________________________________________________________________________________
conv4_block9_0_relu (Activation (None, 12, 16, 512) 0 conv4_block9_0_bn[0][0]
__________________________________________________________________________________________________
conv4_block9_1_conv (Conv2D) (None, 12, 16, 128) 65536 conv4_block9_0_relu[0][0]
__________________________________________________________________________________________________
conv4_block9_1_bn (BatchNormali (None, 12, 16, 128) 512 conv4_block9_1_conv[0][0]
__________________________________________________________________________________________________
conv4_block9_1_relu (Activation (None, 12, 16, 128) 0 conv4_block9_1_bn[0][0]
__________________________________________________________________________________________________
conv4_block9_2_conv (Conv2D) (None, 12, 16, 32) 36864 conv4_block9_1_relu[0][0]
__________________________________________________________________________________________________
conv4_block9_concat (Concatenat (None, 12, 16, 544) 0 conv4_block8_concat[0][0]
conv4_block9_2_conv[0][0]
__________________________________________________________________________________________________
conv4_block10_0_bn (BatchNormal (None, 12, 16, 544) 2176 conv4_block9_concat[0][0]
__________________________________________________________________________________________________
conv4_block10_0_relu (Activatio (None, 12, 16, 544) 0 conv4_block10_0_bn[0][0]
__________________________________________________________________________________________________
conv4_block10_1_conv (Conv2D) (None, 12, 16, 128) 69632 conv4_block10_0_relu[0][0]
__________________________________________________________________________________________________
conv4_block10_1_bn (BatchNormal (None, 12, 16, 128) 512 conv4_block10_1_conv[0][0]
__________________________________________________________________________________________________
conv4_block10_1_relu (Activatio (None, 12, 16, 128) 0 conv4_block10_1_bn[0][0]
__________________________________________________________________________________________________
conv4_block10_2_conv (Conv2D) (None, 12, 16, 32) 36864 conv4_block10_1_relu[0][0]
__________________________________________________________________________________________________
conv4_block10_concat (Concatena (None, 12, 16, 576) 0 conv4_block9_concat[0][0]
conv4_block10_2_conv[0][0]
__________________________________________________________________________________________________
conv4_block11_0_bn (BatchNormal (None, 12, 16, 576) 2304 conv4_block10_concat[0][0]
__________________________________________________________________________________________________
conv4_block11_0_relu (Activatio (None, 12, 16, 576) 0 conv4_block11_0_bn[0][0]
__________________________________________________________________________________________________
conv4_block11_1_conv (Conv2D) (None, 12, 16, 128) 73728 conv4_block11_0_relu[0][0]
__________________________________________________________________________________________________
conv4_block11_1_bn (BatchNormal (None, 12, 16, 128) 512 conv4_block11_1_conv[0][0]
__________________________________________________________________________________________________
conv4_block11_1_relu (Activatio (None, 12, 16, 128) 0 conv4_block11_1_bn[0][0]
__________________________________________________________________________________________________
conv4_block11_2_conv (Conv2D) (None, 12, 16, 32) 36864 conv4_block11_1_relu[0][0]
__________________________________________________________________________________________________
conv4_block11_concat (Concatena (None, 12, 16, 608) 0 conv4_block10_concat[0][0]
conv4_block11_2_conv[0][0]
__________________________________________________________________________________________________
conv4_block12_0_bn (BatchNormal (None, 12, 16, 608) 2432 conv4_block11_concat[0][0]
__________________________________________________________________________________________________
conv4_block12_0_relu (Activatio (None, 12, 16, 608) 0 conv4_block12_0_bn[0][0]
__________________________________________________________________________________________________
conv4_block12_1_conv (Conv2D) (None, 12, 16, 128) 77824 conv4_block12_0_relu[0][0]
__________________________________________________________________________________________________
conv4_block12_1_bn (BatchNormal (None, 12, 16, 128) 512 conv4_block12_1_conv[0][0]
__________________________________________________________________________________________________
conv4_block12_1_relu (Activatio (None, 12, 16, 128) 0 conv4_block12_1_bn[0][0]
__________________________________________________________________________________________________
conv4_block12_2_conv (Conv2D) (None, 12, 16, 32) 36864 conv4_block12_1_relu[0][0]
__________________________________________________________________________________________________
conv4_block12_concat (Concatena (None, 12, 16, 640) 0 conv4_block11_concat[0][0]
conv4_block12_2_conv[0][0]
__________________________________________________________________________________________________
conv4_block13_0_bn (BatchNormal (None, 12, 16, 640) 2560 conv4_block12_concat[0][0]
__________________________________________________________________________________________________
conv4_block13_0_relu (Activatio (None, 12, 16, 640) 0 conv4_block13_0_bn[0][0]
__________________________________________________________________________________________________
conv4_block13_1_conv (Conv2D) (None, 12, 16, 128) 81920 conv4_block13_0_relu[0][0]
__________________________________________________________________________________________________
conv4_block13_1_bn (BatchNormal (None, 12, 16, 128) 512 conv4_block13_1_conv[0][0]
__________________________________________________________________________________________________
conv4_block13_1_relu (Activatio (None, 12, 16, 128) 0 conv4_block13_1_bn[0][0]
__________________________________________________________________________________________________
conv4_block13_2_conv (Conv2D) (None, 12, 16, 32) 36864 conv4_block13_1_relu[0][0]
__________________________________________________________________________________________________
conv4_block13_concat (Concatena (None, 12, 16, 672) 0 conv4_block12_concat[0][0]
conv4_block13_2_conv[0][0]
__________________________________________________________________________________________________
conv4_block14_0_bn (BatchNormal (None, 12, 16, 672) 2688 conv4_block13_concat[0][0]
__________________________________________________________________________________________________
conv4_block14_0_relu (Activatio (None, 12, 16, 672) 0 conv4_block14_0_bn[0][0]
__________________________________________________________________________________________________
conv4_block14_1_conv (Conv2D) (None, 12, 16, 128) 86016 conv4_block14_0_relu[0][0]
__________________________________________________________________________________________________
conv4_block14_1_bn (BatchNormal (None, 12, 16, 128) 512 conv4_block14_1_conv[0][0]
__________________________________________________________________________________________________
conv4_block14_1_relu (Activatio (None, 12, 16, 128) 0 conv4_block14_1_bn[0][0]
__________________________________________________________________________________________________
conv4_block14_2_conv (Conv2D) (None, 12, 16, 32) 36864 conv4_block14_1_relu[0][0]
__________________________________________________________________________________________________
conv4_block14_concat (Concatena (None, 12, 16, 704) 0 conv4_block13_concat[0][0]
conv4_block14_2_conv[0][0]
__________________________________________________________________________________________________
conv4_block15_0_bn (BatchNormal (None, 12, 16, 704) 2816 conv4_block14_concat[0][0]
__________________________________________________________________________________________________
conv4_block15_0_relu (Activatio (None, 12, 16, 704) 0 conv4_block15_0_bn[0][0]
__________________________________________________________________________________________________
conv4_block15_1_conv (Conv2D) (None, 12, 16, 128) 90112 conv4_block15_0_relu[0][0]
__________________________________________________________________________________________________
conv4_block15_1_bn (BatchNormal (None, 12, 16, 128) 512 conv4_block15_1_conv[0][0]
__________________________________________________________________________________________________
conv4_block15_1_relu (Activatio (None, 12, 16, 128) 0 conv4_block15_1_bn[0][0]
__________________________________________________________________________________________________
conv4_block15_2_conv (Conv2D) (None, 12, 16, 32) 36864 conv4_block15_1_relu[0][0]
__________________________________________________________________________________________________
conv4_block15_concat (Concatena (None, 12, 16, 736) 0 conv4_block14_concat[0][0]
conv4_block15_2_conv[0][0]
__________________________________________________________________________________________________
conv4_block16_0_bn (BatchNormal (None, 12, 16, 736) 2944 conv4_block15_concat[0][0]
__________________________________________________________________________________________________
conv4_block16_0_relu (Activatio (None, 12, 16, 736) 0 conv4_block16_0_bn[0][0]
__________________________________________________________________________________________________
conv4_block16_1_conv (Conv2D) (None, 12, 16, 128) 94208 conv4_block16_0_relu[0][0]
__________________________________________________________________________________________________
conv4_block16_1_bn (BatchNormal (None, 12, 16, 128) 512 conv4_block16_1_conv[0][0]
__________________________________________________________________________________________________
conv4_block16_1_relu (Activatio (None, 12, 16, 128) 0 conv4_block16_1_bn[0][0]
__________________________________________________________________________________________________
conv4_block16_2_conv (Conv2D) (None, 12, 16, 32) 36864 conv4_block16_1_relu[0][0]
__________________________________________________________________________________________________
conv4_block16_concat (Concatena (None, 12, 16, 768) 0 conv4_block15_concat[0][0]
conv4_block16_2_conv[0][0]
__________________________________________________________________________________________________
conv4_block17_0_bn (BatchNormal (None, 12, 16, 768) 3072 conv4_block16_concat[0][0]
__________________________________________________________________________________________________
conv4_block17_0_relu (Activatio (None, 12, 16, 768) 0 conv4_block17_0_bn[0][0]
__________________________________________________________________________________________________
conv4_block17_1_conv (Conv2D) (None, 12, 16, 128) 98304 conv4_block17_0_relu[0][0]
__________________________________________________________________________________________________
conv4_block17_1_bn (BatchNormal (None, 12, 16, 128) 512 conv4_block17_1_conv[0][0]
__________________________________________________________________________________________________
conv4_block17_1_relu (Activatio (None, 12, 16, 128) 0 conv4_block17_1_bn[0][0]
__________________________________________________________________________________________________
conv4_block17_2_conv (Conv2D) (None, 12, 16, 32) 36864 conv4_block17_1_relu[0][0]
__________________________________________________________________________________________________
conv4_block17_concat (Concatena (None, 12, 16, 800) 0 conv4_block16_concat[0][0]
conv4_block17_2_conv[0][0]
__________________________________________________________________________________________________
conv4_block18_0_bn (BatchNormal (None, 12, 16, 800) 3200 conv4_block17_concat[0][0]
__________________________________________________________________________________________________
conv4_block18_0_relu (Activatio (None, 12, 16, 800) 0 conv4_block18_0_bn[0][0]
__________________________________________________________________________________________________
conv4_block18_1_conv (Conv2D) (None, 12, 16, 128) 102400 conv4_block18_0_relu[0][0]
__________________________________________________________________________________________________
conv4_block18_1_bn (BatchNormal (None, 12, 16, 128) 512 conv4_block18_1_conv[0][0]
__________________________________________________________________________________________________
conv4_block18_1_relu (Activatio (None, 12, 16, 128) 0 conv4_block18_1_bn[0][0]
__________________________________________________________________________________________________
conv4_block18_2_conv (Conv2D) (None, 12, 16, 32) 36864 conv4_block18_1_relu[0][0]
__________________________________________________________________________________________________
conv4_block18_concat (Concatena (None, 12, 16, 832) 0 conv4_block17_concat[0][0]
conv4_block18_2_conv[0][0]
__________________________________________________________________________________________________
conv4_block19_0_bn (BatchNormal (None, 12, 16, 832) 3328 conv4_block18_concat[0][0]
__________________________________________________________________________________________________
conv4_block19_0_relu (Activatio (None, 12, 16, 832) 0 conv4_block19_0_bn[0][0]
__________________________________________________________________________________________________
conv4_block19_1_conv (Conv2D) (None, 12, 16, 128) 106496 conv4_block19_0_relu[0][0]
__________________________________________________________________________________________________
conv4_block19_1_bn (BatchNormal (None, 12, 16, 128) 512 conv4_block19_1_conv[0][0]
__________________________________________________________________________________________________
conv4_block19_1_relu (Activatio (None, 12, 16, 128) 0 conv4_block19_1_bn[0][0]
__________________________________________________________________________________________________
conv4_block19_2_conv (Conv2D) (None, 12, 16, 32) 36864 conv4_block19_1_relu[0][0]
__________________________________________________________________________________________________
conv4_block19_concat (Concatena (None, 12, 16, 864) 0 conv4_block18_concat[0][0]
conv4_block19_2_conv[0][0]
__________________________________________________________________________________________________
conv4_block20_0_bn (BatchNormal (None, 12, 16, 864) 3456 conv4_block19_concat[0][0]
__________________________________________________________________________________________________
conv4_block20_0_relu (Activatio (None, 12, 16, 864) 0 conv4_block20_0_bn[0][0]
__________________________________________________________________________________________________
conv4_block20_1_conv (Conv2D) (None, 12, 16, 128) 110592 conv4_block20_0_relu[0][0]
__________________________________________________________________________________________________
conv4_block20_1_bn (BatchNormal (None, 12, 16, 128) 512 conv4_block20_1_conv[0][0]
__________________________________________________________________________________________________
conv4_block20_1_relu (Activatio (None, 12, 16, 128) 0 conv4_block20_1_bn[0][0]
__________________________________________________________________________________________________
conv4_block20_2_conv (Conv2D) (None, 12, 16, 32) 36864 conv4_block20_1_relu[0][0]
__________________________________________________________________________________________________
conv4_block20_concat (Concatena (None, 12, 16, 896) 0 conv4_block19_concat[0][0]
conv4_block20_2_conv[0][0]
__________________________________________________________________________________________________
conv4_block21_0_bn (BatchNormal (None, 12, 16, 896) 3584 conv4_block20_concat[0][0]
__________________________________________________________________________________________________
conv4_block21_0_relu (Activatio (None, 12, 16, 896) 0 conv4_block21_0_bn[0][0]
__________________________________________________________________________________________________
conv4_block21_1_conv (Conv2D) (None, 12, 16, 128) 114688 conv4_block21_0_relu[0][0]
__________________________________________________________________________________________________
conv4_block21_1_bn (BatchNormal (None, 12, 16, 128) 512 conv4_block21_1_conv[0][0]
__________________________________________________________________________________________________
conv4_block21_1_relu (Activatio (None, 12, 16, 128) 0 conv4_block21_1_bn[0][0]
__________________________________________________________________________________________________
conv4_block21_2_conv (Conv2D) (None, 12, 16, 32) 36864 conv4_block21_1_relu[0][0]
__________________________________________________________________________________________________
conv4_block21_concat (Concatena (None, 12, 16, 928) 0 conv4_block20_concat[0][0]
conv4_block21_2_conv[0][0]
__________________________________________________________________________________________________
conv4_block22_0_bn (BatchNormal (None, 12, 16, 928) 3712 conv4_block21_concat[0][0]
__________________________________________________________________________________________________
conv4_block22_0_relu (Activatio (None, 12, 16, 928) 0 conv4_block22_0_bn[0][0]
__________________________________________________________________________________________________
conv4_block22_1_conv (Conv2D) (None, 12, 16, 128) 118784 conv4_block22_0_relu[0][0]
__________________________________________________________________________________________________
conv4_block22_1_bn (BatchNormal (None, 12, 16, 128) 512 conv4_block22_1_conv[0][0]
__________________________________________________________________________________________________
conv4_block22_1_relu (Activatio (None, 12, 16, 128) 0 conv4_block22_1_bn[0][0]
__________________________________________________________________________________________________
conv4_block22_2_conv (Conv2D) (None, 12, 16, 32) 36864 conv4_block22_1_relu[0][0]
__________________________________________________________________________________________________
conv4_block22_concat (Concatena (None, 12, 16, 960) 0 conv4_block21_concat[0][0]
conv4_block22_2_conv[0][0]
__________________________________________________________________________________________________
conv4_block23_0_bn (BatchNormal (None, 12, 16, 960) 3840 conv4_block22_concat[0][0]
__________________________________________________________________________________________________
conv4_block23_0_relu (Activatio (None, 12, 16, 960) 0 conv4_block23_0_bn[0][0]
__________________________________________________________________________________________________
conv4_block23_1_conv (Conv2D) (None, 12, 16, 128) 122880 conv4_block23_0_relu[0][0]
__________________________________________________________________________________________________
conv4_block23_1_bn (BatchNormal (None, 12, 16, 128) 512 conv4_block23_1_conv[0][0]
__________________________________________________________________________________________________
conv4_block23_1_relu (Activatio (None, 12, 16, 128) 0 conv4_block23_1_bn[0][0]
__________________________________________________________________________________________________
conv4_block23_2_conv (Conv2D) (None, 12, 16, 32) 36864 conv4_block23_1_relu[0][0]
__________________________________________________________________________________________________
conv4_block23_concat (Concatena (None, 12, 16, 992) 0 conv4_block22_concat[0][0]
conv4_block23_2_conv[0][0]
__________________________________________________________________________________________________
conv4_block24_0_bn (BatchNormal (None, 12, 16, 992) 3968 conv4_block23_concat[0][0]
__________________________________________________________________________________________________
conv4_block24_0_relu (Activatio (None, 12, 16, 992) 0 conv4_block24_0_bn[0][0]
__________________________________________________________________________________________________
conv4_block24_1_conv (Conv2D) (None, 12, 16, 128) 126976 conv4_block24_0_relu[0][0]
__________________________________________________________________________________________________
conv4_block24_1_bn (BatchNormal (None, 12, 16, 128) 512 conv4_block24_1_conv[0][0]
__________________________________________________________________________________________________
conv4_block24_1_relu (Activatio (None, 12, 16, 128) 0 conv4_block24_1_bn[0][0]
__________________________________________________________________________________________________
conv4_block24_2_conv (Conv2D) (None, 12, 16, 32) 36864 conv4_block24_1_relu[0][0]
__________________________________________________________________________________________________
conv4_block24_concat (Concatena (None, 12, 16, 1024) 0 conv4_block23_concat[0][0]
conv4_block24_2_conv[0][0]
__________________________________________________________________________________________________
conv4_block25_0_bn (BatchNormal (None, 12, 16, 1024) 4096 conv4_block24_concat[0][0]
__________________________________________________________________________________________________
conv4_block25_0_relu (Activatio (None, 12, 16, 1024) 0 conv4_block25_0_bn[0][0]
__________________________________________________________________________________________________
conv4_block25_1_conv (Conv2D) (None, 12, 16, 128) 131072 conv4_block25_0_relu[0][0]
__________________________________________________________________________________________________
conv4_block25_1_bn (BatchNormal (None, 12, 16, 128) 512 conv4_block25_1_conv[0][0]
__________________________________________________________________________________________________
conv4_block25_1_relu (Activatio (None, 12, 16, 128) 0 conv4_block25_1_bn[0][0]
__________________________________________________________________________________________________
conv4_block25_2_conv (Conv2D) (None, 12, 16, 32) 36864 conv4_block25_1_relu[0][0]
__________________________________________________________________________________________________
conv4_block25_concat (Concatena (None, 12, 16, 1056) 0 conv4_block24_concat[0][0]
conv4_block25_2_conv[0][0]
__________________________________________________________________________________________________
conv4_block26_0_bn (BatchNormal (None, 12, 16, 1056) 4224 conv4_block25_concat[0][0]
__________________________________________________________________________________________________
conv4_block26_0_relu (Activatio (None, 12, 16, 1056) 0 conv4_block26_0_bn[0][0]
__________________________________________________________________________________________________
conv4_block26_1_conv (Conv2D) (None, 12, 16, 128) 135168 conv4_block26_0_relu[0][0]
__________________________________________________________________________________________________
conv4_block26_1_bn (BatchNormal (None, 12, 16, 128) 512 conv4_block26_1_conv[0][0]
__________________________________________________________________________________________________
conv4_block26_1_relu (Activatio (None, 12, 16, 128) 0 conv4_block26_1_bn[0][0]
__________________________________________________________________________________________________
conv4_block26_2_conv (Conv2D) (None, 12, 16, 32) 36864 conv4_block26_1_relu[0][0]
__________________________________________________________________________________________________
conv4_block26_concat (Concatena (None, 12, 16, 1088) 0 conv4_block25_concat[0][0]
conv4_block26_2_conv[0][0]
__________________________________________________________________________________________________
conv4_block27_0_bn (BatchNormal (None, 12, 16, 1088) 4352 conv4_block26_concat[0][0]
__________________________________________________________________________________________________
conv4_block27_0_relu (Activatio (None, 12, 16, 1088) 0 conv4_block27_0_bn[0][0]
__________________________________________________________________________________________________
conv4_block27_1_conv (Conv2D) (None, 12, 16, 128) 139264 conv4_block27_0_relu[0][0]
__________________________________________________________________________________________________
conv4_block27_1_bn (BatchNormal (None, 12, 16, 128) 512 conv4_block27_1_conv[0][0]
__________________________________________________________________________________________________
conv4_block27_1_relu (Activatio (None, 12, 16, 128) 0 conv4_block27_1_bn[0][0]
__________________________________________________________________________________________________
conv4_block27_2_conv (Conv2D) (None, 12, 16, 32) 36864 conv4_block27_1_relu[0][0]
__________________________________________________________________________________________________
conv4_block27_concat (Concatena (None, 12, 16, 1120) 0 conv4_block26_concat[0][0]
conv4_block27_2_conv[0][0]
__________________________________________________________________________________________________
conv4_block28_0_bn (BatchNormal (None, 12, 16, 1120) 4480 conv4_block27_concat[0][0]
__________________________________________________________________________________________________
conv4_block28_0_relu (Activatio (None, 12, 16, 1120) 0 conv4_block28_0_bn[0][0]
__________________________________________________________________________________________________
conv4_block28_1_conv (Conv2D) (None, 12, 16, 128) 143360 conv4_block28_0_relu[0][0]
__________________________________________________________________________________________________
conv4_block28_1_bn (BatchNormal (None, 12, 16, 128) 512 conv4_block28_1_conv[0][0]
__________________________________________________________________________________________________
conv4_block28_1_relu (Activatio (None, 12, 16, 128) 0 conv4_block28_1_bn[0][0]
__________________________________________________________________________________________________
conv4_block28_2_conv (Conv2D) (None, 12, 16, 32) 36864 conv4_block28_1_relu[0][0]
__________________________________________________________________________________________________
conv4_block28_concat (Concatena (None, 12, 16, 1152) 0 conv4_block27_concat[0][0]
conv4_block28_2_conv[0][0]
__________________________________________________________________________________________________
conv4_block29_0_bn (BatchNormal (None, 12, 16, 1152) 4608 conv4_block28_concat[0][0]
__________________________________________________________________________________________________
conv4_block29_0_relu (Activatio (None, 12, 16, 1152) 0 conv4_block29_0_bn[0][0]
__________________________________________________________________________________________________
conv4_block29_1_conv (Conv2D) (None, 12, 16, 128) 147456 conv4_block29_0_relu[0][0]
__________________________________________________________________________________________________
conv4_block29_1_bn (BatchNormal (None, 12, 16, 128) 512 conv4_block29_1_conv[0][0]
__________________________________________________________________________________________________
conv4_block29_1_relu (Activatio (None, 12, 16, 128) 0 conv4_block29_1_bn[0][0]
__________________________________________________________________________________________________
conv4_block29_2_conv (Conv2D) (None, 12, 16, 32) 36864 conv4_block29_1_relu[0][0]
__________________________________________________________________________________________________
conv4_block29_concat (Concatena (None, 12, 16, 1184) 0 conv4_block28_concat[0][0]
conv4_block29_2_conv[0][0]
__________________________________________________________________________________________________
conv4_block30_0_bn (BatchNormal (None, 12, 16, 1184) 4736 conv4_block29_concat[0][0]
__________________________________________________________________________________________________
conv4_block30_0_relu (Activatio (None, 12, 16, 1184) 0 conv4_block30_0_bn[0][0]
__________________________________________________________________________________________________
conv4_block30_1_conv (Conv2D) (None, 12, 16, 128) 151552 conv4_block30_0_relu[0][0]
__________________________________________________________________________________________________
conv4_block30_1_bn (BatchNormal (None, 12, 16, 128) 512 conv4_block30_1_conv[0][0]
__________________________________________________________________________________________________
conv4_block30_1_relu (Activatio (None, 12, 16, 128) 0 conv4_block30_1_bn[0][0]
__________________________________________________________________________________________________
conv4_block30_2_conv (Conv2D) (None, 12, 16, 32) 36864 conv4_block30_1_relu[0][0]
__________________________________________________________________________________________________
conv4_block30_concat (Concatena (None, 12, 16, 1216) 0 conv4_block29_concat[0][0]
conv4_block30_2_conv[0][0]
__________________________________________________________________________________________________
conv4_block31_0_bn (BatchNormal (None, 12, 16, 1216) 4864 conv4_block30_concat[0][0]
__________________________________________________________________________________________________
conv4_block31_0_relu (Activatio (None, 12, 16, 1216) 0 conv4_block31_0_bn[0][0]
__________________________________________________________________________________________________
conv4_block31_1_conv (Conv2D) (None, 12, 16, 128) 155648 conv4_block31_0_relu[0][0]
__________________________________________________________________________________________________
conv4_block31_1_bn (BatchNormal (None, 12, 16, 128) 512 conv4_block31_1_conv[0][0]
__________________________________________________________________________________________________
conv4_block31_1_relu (Activatio (None, 12, 16, 128) 0 conv4_block31_1_bn[0][0]
__________________________________________________________________________________________________
conv4_block31_2_conv (Conv2D) (None, 12, 16, 32) 36864 conv4_block31_1_relu[0][0]
__________________________________________________________________________________________________
conv4_block31_concat (Concatena (None, 12, 16, 1248) 0 conv4_block30_concat[0][0]
conv4_block31_2_conv[0][0]
__________________________________________________________________________________________________
conv4_block32_0_bn (BatchNormal (None, 12, 16, 1248) 4992 conv4_block31_concat[0][0]
__________________________________________________________________________________________________
conv4_block32_0_relu (Activatio (None, 12, 16, 1248) 0 conv4_block32_0_bn[0][0]
__________________________________________________________________________________________________
conv4_block32_1_conv (Conv2D) (None, 12, 16, 128) 159744 conv4_block32_0_relu[0][0]
__________________________________________________________________________________________________
conv4_block32_1_bn (BatchNormal (None, 12, 16, 128) 512 conv4_block32_1_conv[0][0]
__________________________________________________________________________________________________
conv4_block32_1_relu (Activatio (None, 12, 16, 128) 0 conv4_block32_1_bn[0][0]
__________________________________________________________________________________________________
conv4_block32_2_conv (Conv2D) (None, 12, 16, 32) 36864 conv4_block32_1_relu[0][0]
__________________________________________________________________________________________________
conv4_block32_concat (Concatena (None, 12, 16, 1280) 0 conv4_block31_concat[0][0]
conv4_block32_2_conv[0][0]
__________________________________________________________________________________________________
conv4_block33_0_bn (BatchNormal (None, 12, 16, 1280) 5120 conv4_block32_concat[0][0]
__________________________________________________________________________________________________
conv4_block33_0_relu (Activatio (None, 12, 16, 1280) 0 conv4_block33_0_bn[0][0]
__________________________________________________________________________________________________
conv4_block33_1_conv (Conv2D) (None, 12, 16, 128) 163840 conv4_block33_0_relu[0][0]
__________________________________________________________________________________________________
conv4_block33_1_bn (BatchNormal (None, 12, 16, 128) 512 conv4_block33_1_conv[0][0]
__________________________________________________________________________________________________
conv4_block33_1_relu (Activatio (None, 12, 16, 128) 0 conv4_block33_1_bn[0][0]
__________________________________________________________________________________________________
conv4_block33_2_conv (Conv2D) (None, 12, 16, 32) 36864 conv4_block33_1_relu[0][0]
__________________________________________________________________________________________________
conv4_block33_concat (Concatena (None, 12, 16, 1312) 0 conv4_block32_concat[0][0]
conv4_block33_2_conv[0][0]
__________________________________________________________________________________________________
conv4_block34_0_bn (BatchNormal (None, 12, 16, 1312) 5248 conv4_block33_concat[0][0]
__________________________________________________________________________________________________
conv4_block34_0_relu (Activatio (None, 12, 16, 1312) 0 conv4_block34_0_bn[0][0]
__________________________________________________________________________________________________
conv4_block34_1_conv (Conv2D) (None, 12, 16, 128) 167936 conv4_block34_0_relu[0][0]
__________________________________________________________________________________________________
conv4_block34_1_bn (BatchNormal (None, 12, 16, 128) 512 conv4_block34_1_conv[0][0]
__________________________________________________________________________________________________
conv4_block34_1_relu (Activatio (None, 12, 16, 128) 0 conv4_block34_1_bn[0][0]
__________________________________________________________________________________________________
conv4_block34_2_conv (Conv2D) (None, 12, 16, 32) 36864 conv4_block34_1_relu[0][0]
__________________________________________________________________________________________________
conv4_block34_concat (Concatena (None, 12, 16, 1344) 0 conv4_block33_concat[0][0]
conv4_block34_2_conv[0][0]
__________________________________________________________________________________________________
conv4_block35_0_bn (BatchNormal (None, 12, 16, 1344) 5376 conv4_block34_concat[0][0]
__________________________________________________________________________________________________
conv4_block35_0_relu (Activatio (None, 12, 16, 1344) 0 conv4_block35_0_bn[0][0]
__________________________________________________________________________________________________
conv4_block35_1_conv (Conv2D) (None, 12, 16, 128) 172032 conv4_block35_0_relu[0][0]
__________________________________________________________________________________________________
conv4_block35_1_bn (BatchNormal (None, 12, 16, 128) 512 conv4_block35_1_conv[0][0]
__________________________________________________________________________________________________
conv4_block35_1_relu (Activatio (None, 12, 16, 128) 0 conv4_block35_1_bn[0][0]
__________________________________________________________________________________________________
conv4_block35_2_conv (Conv2D) (None, 12, 16, 32) 36864 conv4_block35_1_relu[0][0]
__________________________________________________________________________________________________
conv4_block35_concat (Concatena (None, 12, 16, 1376) 0 conv4_block34_concat[0][0]
conv4_block35_2_conv[0][0]
__________________________________________________________________________________________________
conv4_block36_0_bn (BatchNormal (None, 12, 16, 1376) 5504 conv4_block35_concat[0][0]
__________________________________________________________________________________________________
conv4_block36_0_relu (Activatio (None, 12, 16, 1376) 0 conv4_block36_0_bn[0][0]
__________________________________________________________________________________________________
conv4_block36_1_conv (Conv2D) (None, 12, 16, 128) 176128 conv4_block36_0_relu[0][0]
__________________________________________________________________________________________________
conv4_block36_1_bn (BatchNormal (None, 12, 16, 128) 512 conv4_block36_1_conv[0][0]
__________________________________________________________________________________________________
conv4_block36_1_relu (Activatio (None, 12, 16, 128) 0 conv4_block36_1_bn[0][0]
__________________________________________________________________________________________________
conv4_block36_2_conv (Conv2D) (None, 12, 16, 32) 36864 conv4_block36_1_relu[0][0]
__________________________________________________________________________________________________
conv4_block36_concat (Concatena (None, 12, 16, 1408) 0 conv4_block35_concat[0][0]
conv4_block36_2_conv[0][0]
__________________________________________________________________________________________________
conv4_block37_0_bn (BatchNormal (None, 12, 16, 1408) 5632 conv4_block36_concat[0][0]
__________________________________________________________________________________________________
conv4_block37_0_relu (Activatio (None, 12, 16, 1408) 0 conv4_block37_0_bn[0][0]
__________________________________________________________________________________________________
conv4_block37_1_conv (Conv2D) (None, 12, 16, 128) 180224 conv4_block37_0_relu[0][0]
__________________________________________________________________________________________________
conv4_block37_1_bn (BatchNormal (None, 12, 16, 128) 512 conv4_block37_1_conv[0][0]
__________________________________________________________________________________________________
conv4_block37_1_relu (Activatio (None, 12, 16, 128) 0 conv4_block37_1_bn[0][0]
__________________________________________________________________________________________________
conv4_block37_2_conv (Conv2D) (None, 12, 16, 32) 36864 conv4_block37_1_relu[0][0]
__________________________________________________________________________________________________
conv4_block37_concat (Concatena (None, 12, 16, 1440) 0 conv4_block36_concat[0][0]
conv4_block37_2_conv[0][0]
__________________________________________________________________________________________________
conv4_block38_0_bn (BatchNormal (None, 12, 16, 1440) 5760 conv4_block37_concat[0][0]
__________________________________________________________________________________________________
conv4_block38_0_relu (Activatio (None, 12, 16, 1440) 0 conv4_block38_0_bn[0][0]
__________________________________________________________________________________________________
conv4_block38_1_conv (Conv2D) (None, 12, 16, 128) 184320 conv4_block38_0_relu[0][0]
__________________________________________________________________________________________________
conv4_block38_1_bn (BatchNormal (None, 12, 16, 128) 512 conv4_block38_1_conv[0][0]
__________________________________________________________________________________________________
conv4_block38_1_relu (Activatio (None, 12, 16, 128) 0 conv4_block38_1_bn[0][0]
__________________________________________________________________________________________________
conv4_block38_2_conv (Conv2D) (None, 12, 16, 32) 36864 conv4_block38_1_relu[0][0]
__________________________________________________________________________________________________
conv4_block38_concat (Concatena (None, 12, 16, 1472) 0 conv4_block37_concat[0][0]
conv4_block38_2_conv[0][0]
__________________________________________________________________________________________________
conv4_block39_0_bn (BatchNormal (None, 12, 16, 1472) 5888 conv4_block38_concat[0][0]
__________________________________________________________________________________________________
conv4_block39_0_relu (Activatio (None, 12, 16, 1472) 0 conv4_block39_0_bn[0][0]
__________________________________________________________________________________________________
conv4_block39_1_conv (Conv2D) (None, 12, 16, 128) 188416 conv4_block39_0_relu[0][0]
__________________________________________________________________________________________________
conv4_block39_1_bn (BatchNormal (None, 12, 16, 128) 512 conv4_block39_1_conv[0][0]
__________________________________________________________________________________________________
conv4_block39_1_relu (Activatio (None, 12, 16, 128) 0 conv4_block39_1_bn[0][0]
__________________________________________________________________________________________________
conv4_block39_2_conv (Conv2D) (None, 12, 16, 32) 36864 conv4_block39_1_relu[0][0]
__________________________________________________________________________________________________
conv4_block39_concat (Concatena (None, 12, 16, 1504) 0 conv4_block38_concat[0][0]
conv4_block39_2_conv[0][0]
__________________________________________________________________________________________________
conv4_block40_0_bn (BatchNormal (None, 12, 16, 1504) 6016 conv4_block39_concat[0][0]
__________________________________________________________________________________________________
conv4_block40_0_relu (Activatio (None, 12, 16, 1504) 0 conv4_block40_0_bn[0][0]
__________________________________________________________________________________________________
conv4_block40_1_conv (Conv2D) (None, 12, 16, 128) 192512 conv4_block40_0_relu[0][0]
__________________________________________________________________________________________________
conv4_block40_1_bn (BatchNormal (None, 12, 16, 128) 512 conv4_block40_1_conv[0][0]
__________________________________________________________________________________________________
conv4_block40_1_relu (Activatio (None, 12, 16, 128) 0 conv4_block40_1_bn[0][0]
__________________________________________________________________________________________________
conv4_block40_2_conv (Conv2D) (None, 12, 16, 32) 36864 conv4_block40_1_relu[0][0]
__________________________________________________________________________________________________
conv4_block40_concat (Concatena (None, 12, 16, 1536) 0 conv4_block39_concat[0][0]
conv4_block40_2_conv[0][0]
__________________________________________________________________________________________________
conv4_block41_0_bn (BatchNormal (None, 12, 16, 1536) 6144 conv4_block40_concat[0][0]
__________________________________________________________________________________________________
conv4_block41_0_relu (Activatio (None, 12, 16, 1536) 0 conv4_block41_0_bn[0][0]
__________________________________________________________________________________________________
conv4_block41_1_conv (Conv2D) (None, 12, 16, 128) 196608 conv4_block41_0_relu[0][0]
__________________________________________________________________________________________________
conv4_block41_1_bn (BatchNormal (None, 12, 16, 128) 512 conv4_block41_1_conv[0][0]
__________________________________________________________________________________________________
conv4_block41_1_relu (Activatio (None, 12, 16, 128) 0 conv4_block41_1_bn[0][0]
__________________________________________________________________________________________________
conv4_block41_2_conv (Conv2D) (None, 12, 16, 32) 36864 conv4_block41_1_relu[0][0]
__________________________________________________________________________________________________
conv4_block41_concat (Concatena (None, 12, 16, 1568) 0 conv4_block40_concat[0][0]
conv4_block41_2_conv[0][0]
__________________________________________________________________________________________________
conv4_block42_0_bn (BatchNormal (None, 12, 16, 1568) 6272 conv4_block41_concat[0][0]
__________________________________________________________________________________________________
conv4_block42_0_relu (Activatio (None, 12, 16, 1568) 0 conv4_block42_0_bn[0][0]
__________________________________________________________________________________________________
conv4_block42_1_conv (Conv2D) (None, 12, 16, 128) 200704 conv4_block42_0_relu[0][0]
__________________________________________________________________________________________________
conv4_block42_1_bn (BatchNormal (None, 12, 16, 128) 512 conv4_block42_1_conv[0][0]
__________________________________________________________________________________________________
conv4_block42_1_relu (Activatio (None, 12, 16, 128) 0 conv4_block42_1_bn[0][0]
__________________________________________________________________________________________________
conv4_block42_2_conv (Conv2D) (None, 12, 16, 32) 36864 conv4_block42_1_relu[0][0]
__________________________________________________________________________________________________
conv4_block42_concat (Concatena (None, 12, 16, 1600) 0 conv4_block41_concat[0][0]
conv4_block42_2_conv[0][0]
__________________________________________________________________________________________________
conv4_block43_0_bn (BatchNormal (None, 12, 16, 1600) 6400 conv4_block42_concat[0][0]
__________________________________________________________________________________________________
conv4_block43_0_relu (Activatio (None, 12, 16, 1600) 0 conv4_block43_0_bn[0][0]
__________________________________________________________________________________________________
conv4_block43_1_conv (Conv2D) (None, 12, 16, 128) 204800 conv4_block43_0_relu[0][0]
__________________________________________________________________________________________________
conv4_block43_1_bn (BatchNormal (None, 12, 16, 128) 512 conv4_block43_1_conv[0][0]
__________________________________________________________________________________________________
conv4_block43_1_relu (Activatio (None, 12, 16, 128) 0 conv4_block43_1_bn[0][0]
__________________________________________________________________________________________________
conv4_block43_2_conv (Conv2D) (None, 12, 16, 32) 36864 conv4_block43_1_relu[0][0]
__________________________________________________________________________________________________
conv4_block43_concat (Concatena (None, 12, 16, 1632) 0 conv4_block42_concat[0][0]
conv4_block43_2_conv[0][0]
__________________________________________________________________________________________________
conv4_block44_0_bn (BatchNormal (None, 12, 16, 1632) 6528 conv4_block43_concat[0][0]
__________________________________________________________________________________________________
conv4_block44_0_relu (Activatio (None, 12, 16, 1632) 0 conv4_block44_0_bn[0][0]
__________________________________________________________________________________________________
conv4_block44_1_conv (Conv2D) (None, 12, 16, 128) 208896 conv4_block44_0_relu[0][0]
__________________________________________________________________________________________________
conv4_block44_1_bn (BatchNormal (None, 12, 16, 128) 512 conv4_block44_1_conv[0][0]
__________________________________________________________________________________________________
conv4_block44_1_relu (Activatio (None, 12, 16, 128) 0 conv4_block44_1_bn[0][0]
__________________________________________________________________________________________________
conv4_block44_2_conv (Conv2D) (None, 12, 16, 32) 36864 conv4_block44_1_relu[0][0]
__________________________________________________________________________________________________
conv4_block44_concat (Concatena (None, 12, 16, 1664) 0 conv4_block43_concat[0][0]
conv4_block44_2_conv[0][0]
__________________________________________________________________________________________________
conv4_block45_0_bn (BatchNormal (None, 12, 16, 1664) 6656 conv4_block44_concat[0][0]
__________________________________________________________________________________________________
conv4_block45_0_relu (Activatio (None, 12, 16, 1664) 0 conv4_block45_0_bn[0][0]
__________________________________________________________________________________________________
conv4_block45_1_conv (Conv2D) (None, 12, 16, 128) 212992 conv4_block45_0_relu[0][0]
__________________________________________________________________________________________________
conv4_block45_1_bn (BatchNormal (None, 12, 16, 128) 512 conv4_block45_1_conv[0][0]
__________________________________________________________________________________________________
conv4_block45_1_relu (Activatio (None, 12, 16, 128) 0 conv4_block45_1_bn[0][0]
__________________________________________________________________________________________________
conv4_block45_2_conv (Conv2D) (None, 12, 16, 32) 36864 conv4_block45_1_relu[0][0]
__________________________________________________________________________________________________
conv4_block45_concat (Concatena (None, 12, 16, 1696) 0 conv4_block44_concat[0][0]
conv4_block45_2_conv[0][0]
__________________________________________________________________________________________________
conv4_block46_0_bn (BatchNormal (None, 12, 16, 1696) 6784 conv4_block45_concat[0][0]
__________________________________________________________________________________________________
conv4_block46_0_relu (Activatio (None, 12, 16, 1696) 0 conv4_block46_0_bn[0][0]
__________________________________________________________________________________________________
conv4_block46_1_conv (Conv2D) (None, 12, 16, 128) 217088 conv4_block46_0_relu[0][0]
__________________________________________________________________________________________________
conv4_block46_1_bn (BatchNormal (None, 12, 16, 128) 512 conv4_block46_1_conv[0][0]
__________________________________________________________________________________________________
conv4_block46_1_relu (Activatio (None, 12, 16, 128) 0 conv4_block46_1_bn[0][0]
__________________________________________________________________________________________________
conv4_block46_2_conv (Conv2D) (None, 12, 16, 32) 36864 conv4_block46_1_relu[0][0]
__________________________________________________________________________________________________
conv4_block46_concat (Concatena (None, 12, 16, 1728) 0 conv4_block45_concat[0][0]
conv4_block46_2_conv[0][0]
__________________________________________________________________________________________________
conv4_block47_0_bn (BatchNormal (None, 12, 16, 1728) 6912 conv4_block46_concat[0][0]
__________________________________________________________________________________________________
conv4_block47_0_relu (Activatio (None, 12, 16, 1728) 0 conv4_block47_0_bn[0][0]
__________________________________________________________________________________________________
conv4_block47_1_conv (Conv2D) (None, 12, 16, 128) 221184 conv4_block47_0_relu[0][0]
__________________________________________________________________________________________________
conv4_block47_1_bn (BatchNormal (None, 12, 16, 128) 512 conv4_block47_1_conv[0][0]
__________________________________________________________________________________________________
conv4_block47_1_relu (Activatio (None, 12, 16, 128) 0 conv4_block47_1_bn[0][0]
__________________________________________________________________________________________________
conv4_block47_2_conv (Conv2D) (None, 12, 16, 32) 36864 conv4_block47_1_relu[0][0]
__________________________________________________________________________________________________
conv4_block47_concat (Concatena (None, 12, 16, 1760) 0 conv4_block46_concat[0][0]
conv4_block47_2_conv[0][0]
__________________________________________________________________________________________________
conv4_block48_0_bn (BatchNormal (None, 12, 16, 1760) 7040 conv4_block47_concat[0][0]
__________________________________________________________________________________________________
conv4_block48_0_relu (Activatio (None, 12, 16, 1760) 0 conv4_block48_0_bn[0][0]
__________________________________________________________________________________________________
conv4_block48_1_conv (Conv2D) (None, 12, 16, 128) 225280 conv4_block48_0_relu[0][0]
__________________________________________________________________________________________________
conv4_block48_1_bn (BatchNormal (None, 12, 16, 128) 512 conv4_block48_1_conv[0][0]
__________________________________________________________________________________________________
conv4_block48_1_relu (Activatio (None, 12, 16, 128) 0 conv4_block48_1_bn[0][0]
__________________________________________________________________________________________________
conv4_block48_2_conv (Conv2D) (None, 12, 16, 32) 36864 conv4_block48_1_relu[0][0]
__________________________________________________________________________________________________
conv4_block48_concat (Concatena (None, 12, 16, 1792) 0 conv4_block47_concat[0][0]
conv4_block48_2_conv[0][0]
__________________________________________________________________________________________________
pool4_bn (BatchNormalization) (None, 12, 16, 1792) 7168 conv4_block48_concat[0][0]
__________________________________________________________________________________________________
pool4_relu (Activation) (None, 12, 16, 1792) 0 pool4_bn[0][0]
__________________________________________________________________________________________________
pool4_conv (Conv2D) (None, 12, 16, 896) 1605632 pool4_relu[0][0]
__________________________________________________________________________________________________
pool4_pool (AveragePooling2D) (None, 6, 8, 896) 0 pool4_conv[0][0]
__________________________________________________________________________________________________
conv5_block1_0_bn (BatchNormali (None, 6, 8, 896) 3584 pool4_pool[0][0]
__________________________________________________________________________________________________
conv5_block1_0_relu (Activation (None, 6, 8, 896) 0 conv5_block1_0_bn[0][0]
__________________________________________________________________________________________________
conv5_block1_1_conv (Conv2D) (None, 6, 8, 128) 114688 conv5_block1_0_relu[0][0]
__________________________________________________________________________________________________
conv5_block1_1_bn (BatchNormali (None, 6, 8, 128) 512 conv5_block1_1_conv[0][0]
__________________________________________________________________________________________________
conv5_block1_1_relu (Activation (None, 6, 8, 128) 0 conv5_block1_1_bn[0][0]
__________________________________________________________________________________________________
conv5_block1_2_conv (Conv2D) (None, 6, 8, 32) 36864 conv5_block1_1_relu[0][0]
__________________________________________________________________________________________________
conv5_block1_concat (Concatenat (None, 6, 8, 928) 0 pool4_pool[0][0]
conv5_block1_2_conv[0][0]
__________________________________________________________________________________________________
conv5_block2_0_bn (BatchNormali (None, 6, 8, 928) 3712 conv5_block1_concat[0][0]
__________________________________________________________________________________________________
conv5_block2_0_relu (Activation (None, 6, 8, 928) 0 conv5_block2_0_bn[0][0]
__________________________________________________________________________________________________
conv5_block2_1_conv (Conv2D) (None, 6, 8, 128) 118784 conv5_block2_0_relu[0][0]
__________________________________________________________________________________________________
conv5_block2_1_bn (BatchNormali (None, 6, 8, 128) 512 conv5_block2_1_conv[0][0]
__________________________________________________________________________________________________
conv5_block2_1_relu (Activation (None, 6, 8, 128) 0 conv5_block2_1_bn[0][0]
__________________________________________________________________________________________________
conv5_block2_2_conv (Conv2D) (None, 6, 8, 32) 36864 conv5_block2_1_relu[0][0]
__________________________________________________________________________________________________
conv5_block2_concat (Concatenat (None, 6, 8, 960) 0 conv5_block1_concat[0][0]
conv5_block2_2_conv[0][0]
__________________________________________________________________________________________________
conv5_block3_0_bn (BatchNormali (None, 6, 8, 960) 3840 conv5_block2_concat[0][0]
__________________________________________________________________________________________________
conv5_block3_0_relu (Activation (None, 6, 8, 960) 0 conv5_block3_0_bn[0][0]
__________________________________________________________________________________________________
conv5_block3_1_conv (Conv2D) (None, 6, 8, 128) 122880 conv5_block3_0_relu[0][0]
__________________________________________________________________________________________________
conv5_block3_1_bn (BatchNormali (None, 6, 8, 128) 512 conv5_block3_1_conv[0][0]
__________________________________________________________________________________________________
conv5_block3_1_relu (Activation (None, 6, 8, 128) 0 conv5_block3_1_bn[0][0]
__________________________________________________________________________________________________
conv5_block3_2_conv (Conv2D) (None, 6, 8, 32) 36864 conv5_block3_1_relu[0][0]
__________________________________________________________________________________________________
conv5_block3_concat (Concatenat (None, 6, 8, 992) 0 conv5_block2_concat[0][0]
conv5_block3_2_conv[0][0]
__________________________________________________________________________________________________
conv5_block4_0_bn (BatchNormali (None, 6, 8, 992) 3968 conv5_block3_concat[0][0]
__________________________________________________________________________________________________
conv5_block4_0_relu (Activation (None, 6, 8, 992) 0 conv5_block4_0_bn[0][0]
__________________________________________________________________________________________________
conv5_block4_1_conv (Conv2D) (None, 6, 8, 128) 126976 conv5_block4_0_relu[0][0]
__________________________________________________________________________________________________
conv5_block4_1_bn (BatchNormali (None, 6, 8, 128) 512 conv5_block4_1_conv[0][0]
__________________________________________________________________________________________________
conv5_block4_1_relu (Activation (None, 6, 8, 128) 0 conv5_block4_1_bn[0][0]
__________________________________________________________________________________________________
conv5_block4_2_conv (Conv2D) (None, 6, 8, 32) 36864 conv5_block4_1_relu[0][0]
__________________________________________________________________________________________________
conv5_block4_concat (Concatenat (None, 6, 8, 1024) 0 conv5_block3_concat[0][0]
conv5_block4_2_conv[0][0]
__________________________________________________________________________________________________
conv5_block5_0_bn (BatchNormali (None, 6, 8, 1024) 4096 conv5_block4_concat[0][0]
__________________________________________________________________________________________________
conv5_block5_0_relu (Activation (None, 6, 8, 1024) 0 conv5_block5_0_bn[0][0]
__________________________________________________________________________________________________
conv5_block5_1_conv (Conv2D) (None, 6, 8, 128) 131072 conv5_block5_0_relu[0][0]
__________________________________________________________________________________________________
conv5_block5_1_bn (BatchNormali (None, 6, 8, 128) 512 conv5_block5_1_conv[0][0]
__________________________________________________________________________________________________
conv5_block5_1_relu (Activation (None, 6, 8, 128) 0 conv5_block5_1_bn[0][0]
__________________________________________________________________________________________________
conv5_block5_2_conv (Conv2D) (None, 6, 8, 32) 36864 conv5_block5_1_relu[0][0]
__________________________________________________________________________________________________
conv5_block5_concat (Concatenat (None, 6, 8, 1056) 0 conv5_block4_concat[0][0]
conv5_block5_2_conv[0][0]
__________________________________________________________________________________________________
conv5_block6_0_bn (BatchNormali (None, 6, 8, 1056) 4224 conv5_block5_concat[0][0]
__________________________________________________________________________________________________
conv5_block6_0_relu (Activation (None, 6, 8, 1056) 0 conv5_block6_0_bn[0][0]
__________________________________________________________________________________________________
conv5_block6_1_conv (Conv2D) (None, 6, 8, 128) 135168 conv5_block6_0_relu[0][0]
__________________________________________________________________________________________________
conv5_block6_1_bn (BatchNormali (None, 6, 8, 128) 512 conv5_block6_1_conv[0][0]
__________________________________________________________________________________________________
conv5_block6_1_relu (Activation (None, 6, 8, 128) 0 conv5_block6_1_bn[0][0]
__________________________________________________________________________________________________
conv5_block6_2_conv (Conv2D) (None, 6, 8, 32) 36864 conv5_block6_1_relu[0][0]
__________________________________________________________________________________________________
conv5_block6_concat (Concatenat (None, 6, 8, 1088) 0 conv5_block5_concat[0][0]
conv5_block6_2_conv[0][0]
__________________________________________________________________________________________________
conv5_block7_0_bn (BatchNormali (None, 6, 8, 1088) 4352 conv5_block6_concat[0][0]
__________________________________________________________________________________________________
conv5_block7_0_relu (Activation (None, 6, 8, 1088) 0 conv5_block7_0_bn[0][0]
__________________________________________________________________________________________________
conv5_block7_1_conv (Conv2D) (None, 6, 8, 128) 139264 conv5_block7_0_relu[0][0]
__________________________________________________________________________________________________
conv5_block7_1_bn (BatchNormali (None, 6, 8, 128) 512 conv5_block7_1_conv[0][0]
__________________________________________________________________________________________________
conv5_block7_1_relu (Activation (None, 6, 8, 128) 0 conv5_block7_1_bn[0][0]
__________________________________________________________________________________________________
conv5_block7_2_conv (Conv2D) (None, 6, 8, 32) 36864 conv5_block7_1_relu[0][0]
__________________________________________________________________________________________________
conv5_block7_concat (Concatenat (None, 6, 8, 1120) 0 conv5_block6_concat[0][0]
conv5_block7_2_conv[0][0]
__________________________________________________________________________________________________
conv5_block8_0_bn (BatchNormali (None, 6, 8, 1120) 4480 conv5_block7_concat[0][0]
__________________________________________________________________________________________________
conv5_block8_0_relu (Activation (None, 6, 8, 1120) 0 conv5_block8_0_bn[0][0]
__________________________________________________________________________________________________
conv5_block8_1_conv (Conv2D) (None, 6, 8, 128) 143360 conv5_block8_0_relu[0][0]
__________________________________________________________________________________________________
conv5_block8_1_bn (BatchNormali (None, 6, 8, 128) 512 conv5_block8_1_conv[0][0]
__________________________________________________________________________________________________
conv5_block8_1_relu (Activation (None, 6, 8, 128) 0 conv5_block8_1_bn[0][0]
__________________________________________________________________________________________________
conv5_block8_2_conv (Conv2D) (None, 6, 8, 32) 36864 conv5_block8_1_relu[0][0]
__________________________________________________________________________________________________
conv5_block8_concat (Concatenat (None, 6, 8, 1152) 0 conv5_block7_concat[0][0]
conv5_block8_2_conv[0][0]
__________________________________________________________________________________________________
conv5_block9_0_bn (BatchNormali (None, 6, 8, 1152) 4608 conv5_block8_concat[0][0]
__________________________________________________________________________________________________
conv5_block9_0_relu (Activation (None, 6, 8, 1152) 0 conv5_block9_0_bn[0][0]
__________________________________________________________________________________________________
conv5_block9_1_conv (Conv2D) (None, 6, 8, 128) 147456 conv5_block9_0_relu[0][0]
__________________________________________________________________________________________________
conv5_block9_1_bn (BatchNormali (None, 6, 8, 128) 512 conv5_block9_1_conv[0][0]
__________________________________________________________________________________________________
conv5_block9_1_relu (Activation (None, 6, 8, 128) 0 conv5_block9_1_bn[0][0]
__________________________________________________________________________________________________
conv5_block9_2_conv (Conv2D) (None, 6, 8, 32) 36864 conv5_block9_1_relu[0][0]
__________________________________________________________________________________________________
conv5_block9_concat (Concatenat (None, 6, 8, 1184) 0 conv5_block8_concat[0][0]
conv5_block9_2_conv[0][0]
__________________________________________________________________________________________________
conv5_block10_0_bn (BatchNormal (None, 6, 8, 1184) 4736 conv5_block9_concat[0][0]
__________________________________________________________________________________________________
conv5_block10_0_relu (Activatio (None, 6, 8, 1184) 0 conv5_block10_0_bn[0][0]
__________________________________________________________________________________________________
conv5_block10_1_conv (Conv2D) (None, 6, 8, 128) 151552 conv5_block10_0_relu[0][0]
__________________________________________________________________________________________________
conv5_block10_1_bn (BatchNormal (None, 6, 8, 128) 512 conv5_block10_1_conv[0][0]
__________________________________________________________________________________________________
conv5_block10_1_relu (Activatio (None, 6, 8, 128) 0 conv5_block10_1_bn[0][0]
__________________________________________________________________________________________________
conv5_block10_2_conv (Conv2D) (None, 6, 8, 32) 36864 conv5_block10_1_relu[0][0]
__________________________________________________________________________________________________
conv5_block10_concat (Concatena (None, 6, 8, 1216) 0 conv5_block9_concat[0][0]
conv5_block10_2_conv[0][0]
__________________________________________________________________________________________________
conv5_block11_0_bn (BatchNormal (None, 6, 8, 1216) 4864 conv5_block10_concat[0][0]
__________________________________________________________________________________________________
conv5_block11_0_relu (Activatio (None, 6, 8, 1216) 0 conv5_block11_0_bn[0][0]
__________________________________________________________________________________________________
conv5_block11_1_conv (Conv2D) (None, 6, 8, 128) 155648 conv5_block11_0_relu[0][0]
__________________________________________________________________________________________________
conv5_block11_1_bn (BatchNormal (None, 6, 8, 128) 512 conv5_block11_1_conv[0][0]
__________________________________________________________________________________________________
conv5_block11_1_relu (Activatio (None, 6, 8, 128) 0 conv5_block11_1_bn[0][0]
__________________________________________________________________________________________________
conv5_block11_2_conv (Conv2D) (None, 6, 8, 32) 36864 conv5_block11_1_relu[0][0]
__________________________________________________________________________________________________
conv5_block11_concat (Concatena (None, 6, 8, 1248) 0 conv5_block10_concat[0][0]
conv5_block11_2_conv[0][0]
__________________________________________________________________________________________________
conv5_block12_0_bn (BatchNormal (None, 6, 8, 1248) 4992 conv5_block11_concat[0][0]
__________________________________________________________________________________________________
conv5_block12_0_relu (Activatio (None, 6, 8, 1248) 0 conv5_block12_0_bn[0][0]
__________________________________________________________________________________________________
conv5_block12_1_conv (Conv2D) (None, 6, 8, 128) 159744 conv5_block12_0_relu[0][0]
__________________________________________________________________________________________________
conv5_block12_1_bn (BatchNormal (None, 6, 8, 128) 512 conv5_block12_1_conv[0][0]
__________________________________________________________________________________________________
conv5_block12_1_relu (Activatio (None, 6, 8, 128) 0 conv5_block12_1_bn[0][0]
__________________________________________________________________________________________________
conv5_block12_2_conv (Conv2D) (None, 6, 8, 32) 36864 conv5_block12_1_relu[0][0]
__________________________________________________________________________________________________
conv5_block12_concat (Concatena (None, 6, 8, 1280) 0 conv5_block11_concat[0][0]
conv5_block12_2_conv[0][0]
__________________________________________________________________________________________________
conv5_block13_0_bn (BatchNormal (None, 6, 8, 1280) 5120 conv5_block12_concat[0][0]
__________________________________________________________________________________________________
conv5_block13_0_relu (Activatio (None, 6, 8, 1280) 0 conv5_block13_0_bn[0][0]
__________________________________________________________________________________________________
conv5_block13_1_conv (Conv2D) (None, 6, 8, 128) 163840 conv5_block13_0_relu[0][0]
__________________________________________________________________________________________________
conv5_block13_1_bn (BatchNormal (None, 6, 8, 128) 512 conv5_block13_1_conv[0][0]
__________________________________________________________________________________________________
conv5_block13_1_relu (Activatio (None, 6, 8, 128) 0 conv5_block13_1_bn[0][0]
__________________________________________________________________________________________________
conv5_block13_2_conv (Conv2D) (None, 6, 8, 32) 36864 conv5_block13_1_relu[0][0]
__________________________________________________________________________________________________
conv5_block13_concat (Concatena (None, 6, 8, 1312) 0 conv5_block12_concat[0][0]
conv5_block13_2_conv[0][0]
__________________________________________________________________________________________________
conv5_block14_0_bn (BatchNormal (None, 6, 8, 1312) 5248 conv5_block13_concat[0][0]
__________________________________________________________________________________________________
conv5_block14_0_relu (Activatio (None, 6, 8, 1312) 0 conv5_block14_0_bn[0][0]
__________________________________________________________________________________________________
conv5_block14_1_conv (Conv2D) (None, 6, 8, 128) 167936 conv5_block14_0_relu[0][0]
__________________________________________________________________________________________________
conv5_block14_1_bn (BatchNormal (None, 6, 8, 128) 512 conv5_block14_1_conv[0][0]
__________________________________________________________________________________________________
conv5_block14_1_relu (Activatio (None, 6, 8, 128) 0 conv5_block14_1_bn[0][0]
__________________________________________________________________________________________________
conv5_block14_2_conv (Conv2D) (None, 6, 8, 32) 36864 conv5_block14_1_relu[0][0]
__________________________________________________________________________________________________
conv5_block14_concat (Concatena (None, 6, 8, 1344) 0 conv5_block13_concat[0][0]
conv5_block14_2_conv[0][0]
__________________________________________________________________________________________________
conv5_block15_0_bn (BatchNormal (None, 6, 8, 1344) 5376 conv5_block14_concat[0][0]
__________________________________________________________________________________________________
conv5_block15_0_relu (Activatio (None, 6, 8, 1344) 0 conv5_block15_0_bn[0][0]
__________________________________________________________________________________________________
conv5_block15_1_conv (Conv2D) (None, 6, 8, 128) 172032 conv5_block15_0_relu[0][0]
__________________________________________________________________________________________________
conv5_block15_1_bn (BatchNormal (None, 6, 8, 128) 512 conv5_block15_1_conv[0][0]
__________________________________________________________________________________________________
conv5_block15_1_relu (Activatio (None, 6, 8, 128) 0 conv5_block15_1_bn[0][0]
__________________________________________________________________________________________________
conv5_block15_2_conv (Conv2D) (None, 6, 8, 32) 36864 conv5_block15_1_relu[0][0]
__________________________________________________________________________________________________
conv5_block15_concat (Concatena (None, 6, 8, 1376) 0 conv5_block14_concat[0][0]
conv5_block15_2_conv[0][0]
__________________________________________________________________________________________________
conv5_block16_0_bn (BatchNormal (None, 6, 8, 1376) 5504 conv5_block15_concat[0][0]
__________________________________________________________________________________________________
conv5_block16_0_relu (Activatio (None, 6, 8, 1376) 0 conv5_block16_0_bn[0][0]
__________________________________________________________________________________________________
conv5_block16_1_conv (Conv2D) (None, 6, 8, 128) 176128 conv5_block16_0_relu[0][0]
__________________________________________________________________________________________________
conv5_block16_1_bn (BatchNormal (None, 6, 8, 128) 512 conv5_block16_1_conv[0][0]
__________________________________________________________________________________________________
conv5_block16_1_relu (Activatio (None, 6, 8, 128) 0 conv5_block16_1_bn[0][0]
__________________________________________________________________________________________________
conv5_block16_2_conv (Conv2D) (None, 6, 8, 32) 36864 conv5_block16_1_relu[0][0]
__________________________________________________________________________________________________
conv5_block16_concat (Concatena (None, 6, 8, 1408) 0 conv5_block15_concat[0][0]
conv5_block16_2_conv[0][0]
__________________________________________________________________________________________________
conv5_block17_0_bn (BatchNormal (None, 6, 8, 1408) 5632 conv5_block16_concat[0][0]
__________________________________________________________________________________________________
conv5_block17_0_relu (Activatio (None, 6, 8, 1408) 0 conv5_block17_0_bn[0][0]
__________________________________________________________________________________________________
conv5_block17_1_conv (Conv2D) (None, 6, 8, 128) 180224 conv5_block17_0_relu[0][0]
__________________________________________________________________________________________________
conv5_block17_1_bn (BatchNormal (None, 6, 8, 128) 512 conv5_block17_1_conv[0][0]
__________________________________________________________________________________________________
conv5_block17_1_relu (Activatio (None, 6, 8, 128) 0 conv5_block17_1_bn[0][0]
__________________________________________________________________________________________________
conv5_block17_2_conv (Conv2D) (None, 6, 8, 32) 36864 conv5_block17_1_relu[0][0]
__________________________________________________________________________________________________
conv5_block17_concat (Concatena (None, 6, 8, 1440) 0 conv5_block16_concat[0][0]
conv5_block17_2_conv[0][0]
__________________________________________________________________________________________________
conv5_block18_0_bn (BatchNormal (None, 6, 8, 1440) 5760 conv5_block17_concat[0][0]
__________________________________________________________________________________________________
conv5_block18_0_relu (Activatio (None, 6, 8, 1440) 0 conv5_block18_0_bn[0][0]
__________________________________________________________________________________________________
conv5_block18_1_conv (Conv2D) (None, 6, 8, 128) 184320 conv5_block18_0_relu[0][0]
__________________________________________________________________________________________________
conv5_block18_1_bn (BatchNormal (None, 6, 8, 128) 512 conv5_block18_1_conv[0][0]
__________________________________________________________________________________________________
conv5_block18_1_relu (Activatio (None, 6, 8, 128) 0 conv5_block18_1_bn[0][0]
__________________________________________________________________________________________________
conv5_block18_2_conv (Conv2D) (None, 6, 8, 32) 36864 conv5_block18_1_relu[0][0]
__________________________________________________________________________________________________
conv5_block18_concat (Concatena (None, 6, 8, 1472) 0 conv5_block17_concat[0][0]
conv5_block18_2_conv[0][0]
__________________________________________________________________________________________________
conv5_block19_0_bn (BatchNormal (None, 6, 8, 1472) 5888 conv5_block18_concat[0][0]
__________________________________________________________________________________________________
conv5_block19_0_relu (Activatio (None, 6, 8, 1472) 0 conv5_block19_0_bn[0][0]
__________________________________________________________________________________________________
conv5_block19_1_conv (Conv2D) (None, 6, 8, 128) 188416 conv5_block19_0_relu[0][0]
__________________________________________________________________________________________________
conv5_block19_1_bn (BatchNormal (None, 6, 8, 128) 512 conv5_block19_1_conv[0][0]
__________________________________________________________________________________________________
conv5_block19_1_relu (Activatio (None, 6, 8, 128) 0 conv5_block19_1_bn[0][0]
__________________________________________________________________________________________________
conv5_block19_2_conv (Conv2D) (None, 6, 8, 32) 36864 conv5_block19_1_relu[0][0]
__________________________________________________________________________________________________
conv5_block19_concat (Concatena (None, 6, 8, 1504) 0 conv5_block18_concat[0][0]
conv5_block19_2_conv[0][0]
__________________________________________________________________________________________________
conv5_block20_0_bn (BatchNormal (None, 6, 8, 1504) 6016 conv5_block19_concat[0][0]
__________________________________________________________________________________________________
conv5_block20_0_relu (Activatio (None, 6, 8, 1504) 0 conv5_block20_0_bn[0][0]
__________________________________________________________________________________________________
conv5_block20_1_conv (Conv2D) (None, 6, 8, 128) 192512 conv5_block20_0_relu[0][0]
__________________________________________________________________________________________________
conv5_block20_1_bn (BatchNormal (None, 6, 8, 128) 512 conv5_block20_1_conv[0][0]
__________________________________________________________________________________________________
conv5_block20_1_relu (Activatio (None, 6, 8, 128) 0 conv5_block20_1_bn[0][0]
__________________________________________________________________________________________________
conv5_block20_2_conv (Conv2D) (None, 6, 8, 32) 36864 conv5_block20_1_relu[0][0]
__________________________________________________________________________________________________
conv5_block20_concat (Concatena (None, 6, 8, 1536) 0 conv5_block19_concat[0][0]
conv5_block20_2_conv[0][0]
__________________________________________________________________________________________________
conv5_block21_0_bn (BatchNormal (None, 6, 8, 1536) 6144 conv5_block20_concat[0][0]
__________________________________________________________________________________________________
conv5_block21_0_relu (Activatio (None, 6, 8, 1536) 0 conv5_block21_0_bn[0][0]
__________________________________________________________________________________________________
conv5_block21_1_conv (Conv2D) (None, 6, 8, 128) 196608 conv5_block21_0_relu[0][0]
__________________________________________________________________________________________________
conv5_block21_1_bn (BatchNormal (None, 6, 8, 128) 512 conv5_block21_1_conv[0][0]
__________________________________________________________________________________________________
conv5_block21_1_relu (Activatio (None, 6, 8, 128) 0 conv5_block21_1_bn[0][0]
__________________________________________________________________________________________________
conv5_block21_2_conv (Conv2D) (None, 6, 8, 32) 36864 conv5_block21_1_relu[0][0]
__________________________________________________________________________________________________
conv5_block21_concat (Concatena (None, 6, 8, 1568) 0 conv5_block20_concat[0][0]
conv5_block21_2_conv[0][0]
__________________________________________________________________________________________________
conv5_block22_0_bn (BatchNormal (None, 6, 8, 1568) 6272 conv5_block21_concat[0][0]
__________________________________________________________________________________________________
conv5_block22_0_relu (Activatio (None, 6, 8, 1568) 0 conv5_block22_0_bn[0][0]
__________________________________________________________________________________________________
conv5_block22_1_conv (Conv2D) (None, 6, 8, 128) 200704 conv5_block22_0_relu[0][0]
__________________________________________________________________________________________________
conv5_block22_1_bn (BatchNormal (None, 6, 8, 128) 512 conv5_block22_1_conv[0][0]
__________________________________________________________________________________________________
conv5_block22_1_relu (Activatio (None, 6, 8, 128) 0 conv5_block22_1_bn[0][0]
__________________________________________________________________________________________________
conv5_block22_2_conv (Conv2D) (None, 6, 8, 32) 36864 conv5_block22_1_relu[0][0]
__________________________________________________________________________________________________
conv5_block22_concat (Concatena (None, 6, 8, 1600) 0 conv5_block21_concat[0][0]
conv5_block22_2_conv[0][0]
__________________________________________________________________________________________________
conv5_block23_0_bn (BatchNormal (None, 6, 8, 1600) 6400 conv5_block22_concat[0][0]
__________________________________________________________________________________________________
conv5_block23_0_relu (Activatio (None, 6, 8, 1600) 0 conv5_block23_0_bn[0][0]
__________________________________________________________________________________________________
conv5_block23_1_conv (Conv2D) (None, 6, 8, 128) 204800 conv5_block23_0_relu[0][0]
__________________________________________________________________________________________________
conv5_block23_1_bn (BatchNormal (None, 6, 8, 128) 512 conv5_block23_1_conv[0][0]
__________________________________________________________________________________________________
conv5_block23_1_relu (Activatio (None, 6, 8, 128) 0 conv5_block23_1_bn[0][0]
__________________________________________________________________________________________________
conv5_block23_2_conv (Conv2D) (None, 6, 8, 32) 36864 conv5_block23_1_relu[0][0]
__________________________________________________________________________________________________
conv5_block23_concat (Concatena (None, 6, 8, 1632) 0 conv5_block22_concat[0][0]
conv5_block23_2_conv[0][0]
__________________________________________________________________________________________________
conv5_block24_0_bn (BatchNormal (None, 6, 8, 1632) 6528 conv5_block23_concat[0][0]
__________________________________________________________________________________________________
conv5_block24_0_relu (Activatio (None, 6, 8, 1632) 0 conv5_block24_0_bn[0][0]
__________________________________________________________________________________________________
conv5_block24_1_conv (Conv2D) (None, 6, 8, 128) 208896 conv5_block24_0_relu[0][0]
__________________________________________________________________________________________________
conv5_block24_1_bn (BatchNormal (None, 6, 8, 128) 512 conv5_block24_1_conv[0][0]
__________________________________________________________________________________________________
conv5_block24_1_relu (Activatio (None, 6, 8, 128) 0 conv5_block24_1_bn[0][0]
__________________________________________________________________________________________________
conv5_block24_2_conv (Conv2D) (None, 6, 8, 32) 36864 conv5_block24_1_relu[0][0]
__________________________________________________________________________________________________
conv5_block24_concat (Concatena (None, 6, 8, 1664) 0 conv5_block23_concat[0][0]
conv5_block24_2_conv[0][0]
__________________________________________________________________________________________________
conv5_block25_0_bn (BatchNormal (None, 6, 8, 1664) 6656 conv5_block24_concat[0][0]
__________________________________________________________________________________________________
conv5_block25_0_relu (Activatio (None, 6, 8, 1664) 0 conv5_block25_0_bn[0][0]
__________________________________________________________________________________________________
conv5_block25_1_conv (Conv2D) (None, 6, 8, 128) 212992 conv5_block25_0_relu[0][0]
__________________________________________________________________________________________________
conv5_block25_1_bn (BatchNormal (None, 6, 8, 128) 512 conv5_block25_1_conv[0][0]
__________________________________________________________________________________________________
conv5_block25_1_relu (Activatio (None, 6, 8, 128) 0 conv5_block25_1_bn[0][0]
__________________________________________________________________________________________________
conv5_block25_2_conv (Conv2D) (None, 6, 8, 32) 36864 conv5_block25_1_relu[0][0]
__________________________________________________________________________________________________
conv5_block25_concat (Concatena (None, 6, 8, 1696) 0 conv5_block24_concat[0][0]
conv5_block25_2_conv[0][0]
__________________________________________________________________________________________________
conv5_block26_0_bn (BatchNormal (None, 6, 8, 1696) 6784 conv5_block25_concat[0][0]
__________________________________________________________________________________________________
conv5_block26_0_relu (Activatio (None, 6, 8, 1696) 0 conv5_block26_0_bn[0][0]
__________________________________________________________________________________________________
conv5_block26_1_conv (Conv2D) (None, 6, 8, 128) 217088 conv5_block26_0_relu[0][0]
__________________________________________________________________________________________________
conv5_block26_1_bn (BatchNormal (None, 6, 8, 128) 512 conv5_block26_1_conv[0][0]
__________________________________________________________________________________________________
conv5_block26_1_relu (Activatio (None, 6, 8, 128) 0 conv5_block26_1_bn[0][0]
__________________________________________________________________________________________________
conv5_block26_2_conv (Conv2D) (None, 6, 8, 32) 36864 conv5_block26_1_relu[0][0]
__________________________________________________________________________________________________
conv5_block26_concat (Concatena (None, 6, 8, 1728) 0 conv5_block25_concat[0][0]
conv5_block26_2_conv[0][0]
__________________________________________________________________________________________________
conv5_block27_0_bn (BatchNormal (None, 6, 8, 1728) 6912 conv5_block26_concat[0][0]
__________________________________________________________________________________________________
conv5_block27_0_relu (Activatio (None, 6, 8, 1728) 0 conv5_block27_0_bn[0][0]
__________________________________________________________________________________________________
conv5_block27_1_conv (Conv2D) (None, 6, 8, 128) 221184 conv5_block27_0_relu[0][0]
__________________________________________________________________________________________________
conv5_block27_1_bn (BatchNormal (None, 6, 8, 128) 512 conv5_block27_1_conv[0][0]
__________________________________________________________________________________________________
conv5_block27_1_relu (Activatio (None, 6, 8, 128) 0 conv5_block27_1_bn[0][0]
__________________________________________________________________________________________________
conv5_block27_2_conv (Conv2D) (None, 6, 8, 32) 36864 conv5_block27_1_relu[0][0]
__________________________________________________________________________________________________
conv5_block27_concat (Concatena (None, 6, 8, 1760) 0 conv5_block26_concat[0][0]
conv5_block27_2_conv[0][0]
__________________________________________________________________________________________________
conv5_block28_0_bn (BatchNormal (None, 6, 8, 1760) 7040 conv5_block27_concat[0][0]
__________________________________________________________________________________________________
conv5_block28_0_relu (Activatio (None, 6, 8, 1760) 0 conv5_block28_0_bn[0][0]
__________________________________________________________________________________________________
conv5_block28_1_conv (Conv2D) (None, 6, 8, 128) 225280 conv5_block28_0_relu[0][0]
__________________________________________________________________________________________________
conv5_block28_1_bn (BatchNormal (None, 6, 8, 128) 512 conv5_block28_1_conv[0][0]
__________________________________________________________________________________________________
conv5_block28_1_relu (Activatio (None, 6, 8, 128) 0 conv5_block28_1_bn[0][0]
__________________________________________________________________________________________________
conv5_block28_2_conv (Conv2D) (None, 6, 8, 32) 36864 conv5_block28_1_relu[0][0]
__________________________________________________________________________________________________
conv5_block28_concat (Concatena (None, 6, 8, 1792) 0 conv5_block27_concat[0][0]
conv5_block28_2_conv[0][0]
__________________________________________________________________________________________________
conv5_block29_0_bn (BatchNormal (None, 6, 8, 1792) 7168 conv5_block28_concat[0][0]
__________________________________________________________________________________________________
conv5_block29_0_relu (Activatio (None, 6, 8, 1792) 0 conv5_block29_0_bn[0][0]
__________________________________________________________________________________________________
conv5_block29_1_conv (Conv2D) (None, 6, 8, 128) 229376 conv5_block29_0_relu[0][0]
__________________________________________________________________________________________________
conv5_block29_1_bn (BatchNormal (None, 6, 8, 128) 512 conv5_block29_1_conv[0][0]
__________________________________________________________________________________________________
conv5_block29_1_relu (Activatio (None, 6, 8, 128) 0 conv5_block29_1_bn[0][0]
__________________________________________________________________________________________________
conv5_block29_2_conv (Conv2D) (None, 6, 8, 32) 36864 conv5_block29_1_relu[0][0]
__________________________________________________________________________________________________
conv5_block29_concat (Concatena (None, 6, 8, 1824) 0 conv5_block28_concat[0][0]
conv5_block29_2_conv[0][0]
__________________________________________________________________________________________________
conv5_block30_0_bn (BatchNormal (None, 6, 8, 1824) 7296 conv5_block29_concat[0][0]
__________________________________________________________________________________________________
conv5_block30_0_relu (Activatio (None, 6, 8, 1824) 0 conv5_block30_0_bn[0][0]
__________________________________________________________________________________________________
conv5_block30_1_conv (Conv2D) (None, 6, 8, 128) 233472 conv5_block30_0_relu[0][0]
__________________________________________________________________________________________________
conv5_block30_1_bn (BatchNormal (None, 6, 8, 128) 512 conv5_block30_1_conv[0][0]
__________________________________________________________________________________________________
conv5_block30_1_relu (Activatio (None, 6, 8, 128) 0 conv5_block30_1_bn[0][0]
__________________________________________________________________________________________________
conv5_block30_2_conv (Conv2D) (None, 6, 8, 32) 36864 conv5_block30_1_relu[0][0]
__________________________________________________________________________________________________
conv5_block30_concat (Concatena (None, 6, 8, 1856) 0 conv5_block29_concat[0][0]
conv5_block30_2_conv[0][0]
__________________________________________________________________________________________________
conv5_block31_0_bn (BatchNormal (None, 6, 8, 1856) 7424 conv5_block30_concat[0][0]
__________________________________________________________________________________________________
conv5_block31_0_relu (Activatio (None, 6, 8, 1856) 0 conv5_block31_0_bn[0][0]
__________________________________________________________________________________________________
conv5_block31_1_conv (Conv2D) (None, 6, 8, 128) 237568 conv5_block31_0_relu[0][0]
__________________________________________________________________________________________________
conv5_block31_1_bn (BatchNormal (None, 6, 8, 128) 512 conv5_block31_1_conv[0][0]
__________________________________________________________________________________________________
conv5_block31_1_relu (Activatio (None, 6, 8, 128) 0 conv5_block31_1_bn[0][0]
__________________________________________________________________________________________________
conv5_block31_2_conv (Conv2D) (None, 6, 8, 32) 36864 conv5_block31_1_relu[0][0]
__________________________________________________________________________________________________
conv5_block31_concat (Concatena (None, 6, 8, 1888) 0 conv5_block30_concat[0][0]
conv5_block31_2_conv[0][0]
__________________________________________________________________________________________________
conv5_block32_0_bn (BatchNormal (None, 6, 8, 1888) 7552 conv5_block31_concat[0][0]
__________________________________________________________________________________________________
conv5_block32_0_relu (Activatio (None, 6, 8, 1888) 0 conv5_block32_0_bn[0][0]
__________________________________________________________________________________________________
conv5_block32_1_conv (Conv2D) (None, 6, 8, 128) 241664 conv5_block32_0_relu[0][0]
__________________________________________________________________________________________________
conv5_block32_1_bn (BatchNormal (None, 6, 8, 128) 512 conv5_block32_1_conv[0][0]
__________________________________________________________________________________________________
conv5_block32_1_relu (Activatio (None, 6, 8, 128) 0 conv5_block32_1_bn[0][0]
__________________________________________________________________________________________________
conv5_block32_2_conv (Conv2D) (None, 6, 8, 32) 36864 conv5_block32_1_relu[0][0]
__________________________________________________________________________________________________
conv5_block32_concat (Concatena (None, 6, 8, 1920) 0 conv5_block31_concat[0][0]
conv5_block32_2_conv[0][0]
__________________________________________________________________________________________________
bn (BatchNormalization) (None, 6, 8, 1920) 7680 conv5_block32_concat[0][0]
__________________________________________________________________________________________________
relu (Activation) (None, 6, 8, 1920) 0 bn[0][0]
__________________________________________________________________________________________________
global_max_pooling2d_1 (GlobalM (None, 1920) 0 relu[0][0]
__________________________________________________________________________________________________
dense_1 (Dense) (None, 512) 983552 global_max_pooling2d_1[0][0]
__________________________________________________________________________________________________
dropout_1 (Dropout) (None, 512) 0 dense_1[0][0]
__________________________________________________________________________________________________
dense_2 (Dense) (None, 7) 3591 dropout_1[0][0]
==================================================================================================
Total params: 19,309,127
Trainable params: 1,216,199
Non-trainable params: 18,092,928
__________________________________________________________________________________________________
Training¶
Feature Extraction¶
In [17]:
train_datagen = ImageDataGenerator(rotation_range=60, width_shift_range=0.2, height_shift_range=0.2,
shear_range=0.2, zoom_range=0.2, fill_mode='nearest')
train_datagen.fit(X_train)
val_datagen = ImageDataGenerator()
val_datagen.fit(X_val)
In [19]:
batch_size = 32
epochs = 3
history = model.fit_generator(train_datagen.flow(X_train,y_train, batch_size=batch_size),
epochs = epochs, validation_data = val_datagen.flow(X_val, y_val),
verbose = 1, steps_per_epoch=(X_train.shape[0] // batch_size),
validation_steps=(X_val.shape[0] // batch_size))
Epoch 1/3 253/253 [==============================] - 280s 1s/step - loss: 1.6258 - acc: 0.6218 - val_loss: 0.9390 - val_acc: 0.6842 Epoch 2/3 253/253 [==============================] - 276s 1s/step - loss: 0.9089 - acc: 0.6864 - val_loss: 0.7877 - val_acc: 0.7057 Epoch 3/3 253/253 [==============================] - 273s 1s/step - loss: 0.8189 - acc: 0.7108 - val_loss: 0.7769 - val_acc: 0.7023
Fine Tuning¶
In [20]:
pre_trained_model.layers[481].name
Out[20]:
'conv5_block1_0_bn'
In [21]:
for layer in pre_trained_model.layers[481:]:
layer.trainable = True
In [22]:
optimizer = Adam(lr=0.0001, beta_1=0.9, beta_2=0.999, epsilon=None, decay=0.0, amsgrad=False)
model.compile(loss='categorical_crossentropy',
optimizer=optimizer,
metrics=['acc'])
In [23]:
learning_rate_reduction = ReduceLROnPlateau(monitor='val_acc', patience=3, verbose=1, factor=0.5,
min_lr=0.000001, cooldown=2)
In [24]:
model.summary()
__________________________________________________________________________________________________
Layer (type) Output Shape Param # Connected to
==================================================================================================
input_1 (InputLayer) (None, 192, 256, 3) 0
__________________________________________________________________________________________________
zero_padding2d_1 (ZeroPadding2D (None, 198, 262, 3) 0 input_1[0][0]
__________________________________________________________________________________________________
conv1/conv (Conv2D) (None, 96, 128, 64) 9408 zero_padding2d_1[0][0]
__________________________________________________________________________________________________
conv1/bn (BatchNormalization) (None, 96, 128, 64) 256 conv1/conv[0][0]
__________________________________________________________________________________________________
conv1/relu (Activation) (None, 96, 128, 64) 0 conv1/bn[0][0]
__________________________________________________________________________________________________
zero_padding2d_2 (ZeroPadding2D (None, 98, 130, 64) 0 conv1/relu[0][0]
__________________________________________________________________________________________________
pool1 (MaxPooling2D) (None, 48, 64, 64) 0 zero_padding2d_2[0][0]
__________________________________________________________________________________________________
conv2_block1_0_bn (BatchNormali (None, 48, 64, 64) 256 pool1[0][0]
__________________________________________________________________________________________________
conv2_block1_0_relu (Activation (None, 48, 64, 64) 0 conv2_block1_0_bn[0][0]
__________________________________________________________________________________________________
conv2_block1_1_conv (Conv2D) (None, 48, 64, 128) 8192 conv2_block1_0_relu[0][0]
__________________________________________________________________________________________________
conv2_block1_1_bn (BatchNormali (None, 48, 64, 128) 512 conv2_block1_1_conv[0][0]
__________________________________________________________________________________________________
conv2_block1_1_relu (Activation (None, 48, 64, 128) 0 conv2_block1_1_bn[0][0]
__________________________________________________________________________________________________
conv2_block1_2_conv (Conv2D) (None, 48, 64, 32) 36864 conv2_block1_1_relu[0][0]
__________________________________________________________________________________________________
conv2_block1_concat (Concatenat (None, 48, 64, 96) 0 pool1[0][0]
conv2_block1_2_conv[0][0]
__________________________________________________________________________________________________
conv2_block2_0_bn (BatchNormali (None, 48, 64, 96) 384 conv2_block1_concat[0][0]
__________________________________________________________________________________________________
conv2_block2_0_relu (Activation (None, 48, 64, 96) 0 conv2_block2_0_bn[0][0]
__________________________________________________________________________________________________
conv2_block2_1_conv (Conv2D) (None, 48, 64, 128) 12288 conv2_block2_0_relu[0][0]
__________________________________________________________________________________________________
conv2_block2_1_bn (BatchNormali (None, 48, 64, 128) 512 conv2_block2_1_conv[0][0]
__________________________________________________________________________________________________
conv2_block2_1_relu (Activation (None, 48, 64, 128) 0 conv2_block2_1_bn[0][0]
__________________________________________________________________________________________________
conv2_block2_2_conv (Conv2D) (None, 48, 64, 32) 36864 conv2_block2_1_relu[0][0]
__________________________________________________________________________________________________
conv2_block2_concat (Concatenat (None, 48, 64, 128) 0 conv2_block1_concat[0][0]
conv2_block2_2_conv[0][0]
__________________________________________________________________________________________________
conv2_block3_0_bn (BatchNormali (None, 48, 64, 128) 512 conv2_block2_concat[0][0]
__________________________________________________________________________________________________
conv2_block3_0_relu (Activation (None, 48, 64, 128) 0 conv2_block3_0_bn[0][0]
__________________________________________________________________________________________________
conv2_block3_1_conv (Conv2D) (None, 48, 64, 128) 16384 conv2_block3_0_relu[0][0]
__________________________________________________________________________________________________
conv2_block3_1_bn (BatchNormali (None, 48, 64, 128) 512 conv2_block3_1_conv[0][0]
__________________________________________________________________________________________________
conv2_block3_1_relu (Activation (None, 48, 64, 128) 0 conv2_block3_1_bn[0][0]
__________________________________________________________________________________________________
conv2_block3_2_conv (Conv2D) (None, 48, 64, 32) 36864 conv2_block3_1_relu[0][0]
__________________________________________________________________________________________________
conv2_block3_concat (Concatenat (None, 48, 64, 160) 0 conv2_block2_concat[0][0]
conv2_block3_2_conv[0][0]
__________________________________________________________________________________________________
conv2_block4_0_bn (BatchNormali (None, 48, 64, 160) 640 conv2_block3_concat[0][0]
__________________________________________________________________________________________________
conv2_block4_0_relu (Activation (None, 48, 64, 160) 0 conv2_block4_0_bn[0][0]
__________________________________________________________________________________________________
conv2_block4_1_conv (Conv2D) (None, 48, 64, 128) 20480 conv2_block4_0_relu[0][0]
__________________________________________________________________________________________________
conv2_block4_1_bn (BatchNormali (None, 48, 64, 128) 512 conv2_block4_1_conv[0][0]
__________________________________________________________________________________________________
conv2_block4_1_relu (Activation (None, 48, 64, 128) 0 conv2_block4_1_bn[0][0]
__________________________________________________________________________________________________
conv2_block4_2_conv (Conv2D) (None, 48, 64, 32) 36864 conv2_block4_1_relu[0][0]
__________________________________________________________________________________________________
conv2_block4_concat (Concatenat (None, 48, 64, 192) 0 conv2_block3_concat[0][0]
conv2_block4_2_conv[0][0]
__________________________________________________________________________________________________
conv2_block5_0_bn (BatchNormali (None, 48, 64, 192) 768 conv2_block4_concat[0][0]
__________________________________________________________________________________________________
conv2_block5_0_relu (Activation (None, 48, 64, 192) 0 conv2_block5_0_bn[0][0]
__________________________________________________________________________________________________
conv2_block5_1_conv (Conv2D) (None, 48, 64, 128) 24576 conv2_block5_0_relu[0][0]
__________________________________________________________________________________________________
conv2_block5_1_bn (BatchNormali (None, 48, 64, 128) 512 conv2_block5_1_conv[0][0]
__________________________________________________________________________________________________
conv2_block5_1_relu (Activation (None, 48, 64, 128) 0 conv2_block5_1_bn[0][0]
__________________________________________________________________________________________________
conv2_block5_2_conv (Conv2D) (None, 48, 64, 32) 36864 conv2_block5_1_relu[0][0]
__________________________________________________________________________________________________
conv2_block5_concat (Concatenat (None, 48, 64, 224) 0 conv2_block4_concat[0][0]
conv2_block5_2_conv[0][0]
__________________________________________________________________________________________________
conv2_block6_0_bn (BatchNormali (None, 48, 64, 224) 896 conv2_block5_concat[0][0]
__________________________________________________________________________________________________
conv2_block6_0_relu (Activation (None, 48, 64, 224) 0 conv2_block6_0_bn[0][0]
__________________________________________________________________________________________________
conv2_block6_1_conv (Conv2D) (None, 48, 64, 128) 28672 conv2_block6_0_relu[0][0]
__________________________________________________________________________________________________
conv2_block6_1_bn (BatchNormali (None, 48, 64, 128) 512 conv2_block6_1_conv[0][0]
__________________________________________________________________________________________________
conv2_block6_1_relu (Activation (None, 48, 64, 128) 0 conv2_block6_1_bn[0][0]
__________________________________________________________________________________________________
conv2_block6_2_conv (Conv2D) (None, 48, 64, 32) 36864 conv2_block6_1_relu[0][0]
__________________________________________________________________________________________________
conv2_block6_concat (Concatenat (None, 48, 64, 256) 0 conv2_block5_concat[0][0]
conv2_block6_2_conv[0][0]
__________________________________________________________________________________________________
pool2_bn (BatchNormalization) (None, 48, 64, 256) 1024 conv2_block6_concat[0][0]
__________________________________________________________________________________________________
pool2_relu (Activation) (None, 48, 64, 256) 0 pool2_bn[0][0]
__________________________________________________________________________________________________
pool2_conv (Conv2D) (None, 48, 64, 128) 32768 pool2_relu[0][0]
__________________________________________________________________________________________________
pool2_pool (AveragePooling2D) (None, 24, 32, 128) 0 pool2_conv[0][0]
__________________________________________________________________________________________________
conv3_block1_0_bn (BatchNormali (None, 24, 32, 128) 512 pool2_pool[0][0]
__________________________________________________________________________________________________
conv3_block1_0_relu (Activation (None, 24, 32, 128) 0 conv3_block1_0_bn[0][0]
__________________________________________________________________________________________________
conv3_block1_1_conv (Conv2D) (None, 24, 32, 128) 16384 conv3_block1_0_relu[0][0]
__________________________________________________________________________________________________
conv3_block1_1_bn (BatchNormali (None, 24, 32, 128) 512 conv3_block1_1_conv[0][0]
__________________________________________________________________________________________________
conv3_block1_1_relu (Activation (None, 24, 32, 128) 0 conv3_block1_1_bn[0][0]
__________________________________________________________________________________________________
conv3_block1_2_conv (Conv2D) (None, 24, 32, 32) 36864 conv3_block1_1_relu[0][0]
__________________________________________________________________________________________________
conv3_block1_concat (Concatenat (None, 24, 32, 160) 0 pool2_pool[0][0]
conv3_block1_2_conv[0][0]
__________________________________________________________________________________________________
conv3_block2_0_bn (BatchNormali (None, 24, 32, 160) 640 conv3_block1_concat[0][0]
__________________________________________________________________________________________________
conv3_block2_0_relu (Activation (None, 24, 32, 160) 0 conv3_block2_0_bn[0][0]
__________________________________________________________________________________________________
conv3_block2_1_conv (Conv2D) (None, 24, 32, 128) 20480 conv3_block2_0_relu[0][0]
__________________________________________________________________________________________________
conv3_block2_1_bn (BatchNormali (None, 24, 32, 128) 512 conv3_block2_1_conv[0][0]
__________________________________________________________________________________________________
conv3_block2_1_relu (Activation (None, 24, 32, 128) 0 conv3_block2_1_bn[0][0]
__________________________________________________________________________________________________
conv3_block2_2_conv (Conv2D) (None, 24, 32, 32) 36864 conv3_block2_1_relu[0][0]
__________________________________________________________________________________________________
conv3_block2_concat (Concatenat (None, 24, 32, 192) 0 conv3_block1_concat[0][0]
conv3_block2_2_conv[0][0]
__________________________________________________________________________________________________
conv3_block3_0_bn (BatchNormali (None, 24, 32, 192) 768 conv3_block2_concat[0][0]
__________________________________________________________________________________________________
conv3_block3_0_relu (Activation (None, 24, 32, 192) 0 conv3_block3_0_bn[0][0]
__________________________________________________________________________________________________
conv3_block3_1_conv (Conv2D) (None, 24, 32, 128) 24576 conv3_block3_0_relu[0][0]
__________________________________________________________________________________________________
conv3_block3_1_bn (BatchNormali (None, 24, 32, 128) 512 conv3_block3_1_conv[0][0]
__________________________________________________________________________________________________
conv3_block3_1_relu (Activation (None, 24, 32, 128) 0 conv3_block3_1_bn[0][0]
__________________________________________________________________________________________________
conv3_block3_2_conv (Conv2D) (None, 24, 32, 32) 36864 conv3_block3_1_relu[0][0]
__________________________________________________________________________________________________
conv3_block3_concat (Concatenat (None, 24, 32, 224) 0 conv3_block2_concat[0][0]
conv3_block3_2_conv[0][0]
__________________________________________________________________________________________________
conv3_block4_0_bn (BatchNormali (None, 24, 32, 224) 896 conv3_block3_concat[0][0]
__________________________________________________________________________________________________
conv3_block4_0_relu (Activation (None, 24, 32, 224) 0 conv3_block4_0_bn[0][0]
__________________________________________________________________________________________________
conv3_block4_1_conv (Conv2D) (None, 24, 32, 128) 28672 conv3_block4_0_relu[0][0]
__________________________________________________________________________________________________
conv3_block4_1_bn (BatchNormali (None, 24, 32, 128) 512 conv3_block4_1_conv[0][0]
__________________________________________________________________________________________________
conv3_block4_1_relu (Activation (None, 24, 32, 128) 0 conv3_block4_1_bn[0][0]
__________________________________________________________________________________________________
conv3_block4_2_conv (Conv2D) (None, 24, 32, 32) 36864 conv3_block4_1_relu[0][0]
__________________________________________________________________________________________________
conv3_block4_concat (Concatenat (None, 24, 32, 256) 0 conv3_block3_concat[0][0]
conv3_block4_2_conv[0][0]
__________________________________________________________________________________________________
conv3_block5_0_bn (BatchNormali (None, 24, 32, 256) 1024 conv3_block4_concat[0][0]
__________________________________________________________________________________________________
conv3_block5_0_relu (Activation (None, 24, 32, 256) 0 conv3_block5_0_bn[0][0]
__________________________________________________________________________________________________
conv3_block5_1_conv (Conv2D) (None, 24, 32, 128) 32768 conv3_block5_0_relu[0][0]
__________________________________________________________________________________________________
conv3_block5_1_bn (BatchNormali (None, 24, 32, 128) 512 conv3_block5_1_conv[0][0]
__________________________________________________________________________________________________
conv3_block5_1_relu (Activation (None, 24, 32, 128) 0 conv3_block5_1_bn[0][0]
__________________________________________________________________________________________________
conv3_block5_2_conv (Conv2D) (None, 24, 32, 32) 36864 conv3_block5_1_relu[0][0]
__________________________________________________________________________________________________
conv3_block5_concat (Concatenat (None, 24, 32, 288) 0 conv3_block4_concat[0][0]
conv3_block5_2_conv[0][0]
__________________________________________________________________________________________________
conv3_block6_0_bn (BatchNormali (None, 24, 32, 288) 1152 conv3_block5_concat[0][0]
__________________________________________________________________________________________________
conv3_block6_0_relu (Activation (None, 24, 32, 288) 0 conv3_block6_0_bn[0][0]
__________________________________________________________________________________________________
conv3_block6_1_conv (Conv2D) (None, 24, 32, 128) 36864 conv3_block6_0_relu[0][0]
__________________________________________________________________________________________________
conv3_block6_1_bn (BatchNormali (None, 24, 32, 128) 512 conv3_block6_1_conv[0][0]
__________________________________________________________________________________________________
conv3_block6_1_relu (Activation (None, 24, 32, 128) 0 conv3_block6_1_bn[0][0]
__________________________________________________________________________________________________
conv3_block6_2_conv (Conv2D) (None, 24, 32, 32) 36864 conv3_block6_1_relu[0][0]
__________________________________________________________________________________________________
conv3_block6_concat (Concatenat (None, 24, 32, 320) 0 conv3_block5_concat[0][0]
conv3_block6_2_conv[0][0]
__________________________________________________________________________________________________
conv3_block7_0_bn (BatchNormali (None, 24, 32, 320) 1280 conv3_block6_concat[0][0]
__________________________________________________________________________________________________
conv3_block7_0_relu (Activation (None, 24, 32, 320) 0 conv3_block7_0_bn[0][0]
__________________________________________________________________________________________________
conv3_block7_1_conv (Conv2D) (None, 24, 32, 128) 40960 conv3_block7_0_relu[0][0]
__________________________________________________________________________________________________
conv3_block7_1_bn (BatchNormali (None, 24, 32, 128) 512 conv3_block7_1_conv[0][0]
__________________________________________________________________________________________________
conv3_block7_1_relu (Activation (None, 24, 32, 128) 0 conv3_block7_1_bn[0][0]
__________________________________________________________________________________________________
conv3_block7_2_conv (Conv2D) (None, 24, 32, 32) 36864 conv3_block7_1_relu[0][0]
__________________________________________________________________________________________________
conv3_block7_concat (Concatenat (None, 24, 32, 352) 0 conv3_block6_concat[0][0]
conv3_block7_2_conv[0][0]
__________________________________________________________________________________________________
conv3_block8_0_bn (BatchNormali (None, 24, 32, 352) 1408 conv3_block7_concat[0][0]
__________________________________________________________________________________________________
conv3_block8_0_relu (Activation (None, 24, 32, 352) 0 conv3_block8_0_bn[0][0]
__________________________________________________________________________________________________
conv3_block8_1_conv (Conv2D) (None, 24, 32, 128) 45056 conv3_block8_0_relu[0][0]
__________________________________________________________________________________________________
conv3_block8_1_bn (BatchNormali (None, 24, 32, 128) 512 conv3_block8_1_conv[0][0]
__________________________________________________________________________________________________
conv3_block8_1_relu (Activation (None, 24, 32, 128) 0 conv3_block8_1_bn[0][0]
__________________________________________________________________________________________________
conv3_block8_2_conv (Conv2D) (None, 24, 32, 32) 36864 conv3_block8_1_relu[0][0]
__________________________________________________________________________________________________
conv3_block8_concat (Concatenat (None, 24, 32, 384) 0 conv3_block7_concat[0][0]
conv3_block8_2_conv[0][0]
__________________________________________________________________________________________________
conv3_block9_0_bn (BatchNormali (None, 24, 32, 384) 1536 conv3_block8_concat[0][0]
__________________________________________________________________________________________________
conv3_block9_0_relu (Activation (None, 24, 32, 384) 0 conv3_block9_0_bn[0][0]
__________________________________________________________________________________________________
conv3_block9_1_conv (Conv2D) (None, 24, 32, 128) 49152 conv3_block9_0_relu[0][0]
__________________________________________________________________________________________________
conv3_block9_1_bn (BatchNormali (None, 24, 32, 128) 512 conv3_block9_1_conv[0][0]
__________________________________________________________________________________________________
conv3_block9_1_relu (Activation (None, 24, 32, 128) 0 conv3_block9_1_bn[0][0]
__________________________________________________________________________________________________
conv3_block9_2_conv (Conv2D) (None, 24, 32, 32) 36864 conv3_block9_1_relu[0][0]
__________________________________________________________________________________________________
conv3_block9_concat (Concatenat (None, 24, 32, 416) 0 conv3_block8_concat[0][0]
conv3_block9_2_conv[0][0]
__________________________________________________________________________________________________
conv3_block10_0_bn (BatchNormal (None, 24, 32, 416) 1664 conv3_block9_concat[0][0]
__________________________________________________________________________________________________
conv3_block10_0_relu (Activatio (None, 24, 32, 416) 0 conv3_block10_0_bn[0][0]
__________________________________________________________________________________________________
conv3_block10_1_conv (Conv2D) (None, 24, 32, 128) 53248 conv3_block10_0_relu[0][0]
__________________________________________________________________________________________________
conv3_block10_1_bn (BatchNormal (None, 24, 32, 128) 512 conv3_block10_1_conv[0][0]
__________________________________________________________________________________________________
conv3_block10_1_relu (Activatio (None, 24, 32, 128) 0 conv3_block10_1_bn[0][0]
__________________________________________________________________________________________________
conv3_block10_2_conv (Conv2D) (None, 24, 32, 32) 36864 conv3_block10_1_relu[0][0]
__________________________________________________________________________________________________
conv3_block10_concat (Concatena (None, 24, 32, 448) 0 conv3_block9_concat[0][0]
conv3_block10_2_conv[0][0]
__________________________________________________________________________________________________
conv3_block11_0_bn (BatchNormal (None, 24, 32, 448) 1792 conv3_block10_concat[0][0]
__________________________________________________________________________________________________
conv3_block11_0_relu (Activatio (None, 24, 32, 448) 0 conv3_block11_0_bn[0][0]
__________________________________________________________________________________________________
conv3_block11_1_conv (Conv2D) (None, 24, 32, 128) 57344 conv3_block11_0_relu[0][0]
__________________________________________________________________________________________________
conv3_block11_1_bn (BatchNormal (None, 24, 32, 128) 512 conv3_block11_1_conv[0][0]
__________________________________________________________________________________________________
conv3_block11_1_relu (Activatio (None, 24, 32, 128) 0 conv3_block11_1_bn[0][0]
__________________________________________________________________________________________________
conv3_block11_2_conv (Conv2D) (None, 24, 32, 32) 36864 conv3_block11_1_relu[0][0]
__________________________________________________________________________________________________
conv3_block11_concat (Concatena (None, 24, 32, 480) 0 conv3_block10_concat[0][0]
conv3_block11_2_conv[0][0]
__________________________________________________________________________________________________
conv3_block12_0_bn (BatchNormal (None, 24, 32, 480) 1920 conv3_block11_concat[0][0]
__________________________________________________________________________________________________
conv3_block12_0_relu (Activatio (None, 24, 32, 480) 0 conv3_block12_0_bn[0][0]
__________________________________________________________________________________________________
conv3_block12_1_conv (Conv2D) (None, 24, 32, 128) 61440 conv3_block12_0_relu[0][0]
__________________________________________________________________________________________________
conv3_block12_1_bn (BatchNormal (None, 24, 32, 128) 512 conv3_block12_1_conv[0][0]
__________________________________________________________________________________________________
conv3_block12_1_relu (Activatio (None, 24, 32, 128) 0 conv3_block12_1_bn[0][0]
__________________________________________________________________________________________________
conv3_block12_2_conv (Conv2D) (None, 24, 32, 32) 36864 conv3_block12_1_relu[0][0]
__________________________________________________________________________________________________
conv3_block12_concat (Concatena (None, 24, 32, 512) 0 conv3_block11_concat[0][0]
conv3_block12_2_conv[0][0]
__________________________________________________________________________________________________
pool3_bn (BatchNormalization) (None, 24, 32, 512) 2048 conv3_block12_concat[0][0]
__________________________________________________________________________________________________
pool3_relu (Activation) (None, 24, 32, 512) 0 pool3_bn[0][0]
__________________________________________________________________________________________________
pool3_conv (Conv2D) (None, 24, 32, 256) 131072 pool3_relu[0][0]
__________________________________________________________________________________________________
pool3_pool (AveragePooling2D) (None, 12, 16, 256) 0 pool3_conv[0][0]
__________________________________________________________________________________________________
conv4_block1_0_bn (BatchNormali (None, 12, 16, 256) 1024 pool3_pool[0][0]
__________________________________________________________________________________________________
conv4_block1_0_relu (Activation (None, 12, 16, 256) 0 conv4_block1_0_bn[0][0]
__________________________________________________________________________________________________
conv4_block1_1_conv (Conv2D) (None, 12, 16, 128) 32768 conv4_block1_0_relu[0][0]
__________________________________________________________________________________________________
conv4_block1_1_bn (BatchNormali (None, 12, 16, 128) 512 conv4_block1_1_conv[0][0]
__________________________________________________________________________________________________
conv4_block1_1_relu (Activation (None, 12, 16, 128) 0 conv4_block1_1_bn[0][0]
__________________________________________________________________________________________________
conv4_block1_2_conv (Conv2D) (None, 12, 16, 32) 36864 conv4_block1_1_relu[0][0]
__________________________________________________________________________________________________
conv4_block1_concat (Concatenat (None, 12, 16, 288) 0 pool3_pool[0][0]
conv4_block1_2_conv[0][0]
__________________________________________________________________________________________________
conv4_block2_0_bn (BatchNormali (None, 12, 16, 288) 1152 conv4_block1_concat[0][0]
__________________________________________________________________________________________________
conv4_block2_0_relu (Activation (None, 12, 16, 288) 0 conv4_block2_0_bn[0][0]
__________________________________________________________________________________________________
conv4_block2_1_conv (Conv2D) (None, 12, 16, 128) 36864 conv4_block2_0_relu[0][0]
__________________________________________________________________________________________________
conv4_block2_1_bn (BatchNormali (None, 12, 16, 128) 512 conv4_block2_1_conv[0][0]
__________________________________________________________________________________________________
conv4_block2_1_relu (Activation (None, 12, 16, 128) 0 conv4_block2_1_bn[0][0]
__________________________________________________________________________________________________
conv4_block2_2_conv (Conv2D) (None, 12, 16, 32) 36864 conv4_block2_1_relu[0][0]
__________________________________________________________________________________________________
conv4_block2_concat (Concatenat (None, 12, 16, 320) 0 conv4_block1_concat[0][0]
conv4_block2_2_conv[0][0]
__________________________________________________________________________________________________
conv4_block3_0_bn (BatchNormali (None, 12, 16, 320) 1280 conv4_block2_concat[0][0]
__________________________________________________________________________________________________
conv4_block3_0_relu (Activation (None, 12, 16, 320) 0 conv4_block3_0_bn[0][0]
__________________________________________________________________________________________________
conv4_block3_1_conv (Conv2D) (None, 12, 16, 128) 40960 conv4_block3_0_relu[0][0]
__________________________________________________________________________________________________
conv4_block3_1_bn (BatchNormali (None, 12, 16, 128) 512 conv4_block3_1_conv[0][0]
__________________________________________________________________________________________________
conv4_block3_1_relu (Activation (None, 12, 16, 128) 0 conv4_block3_1_bn[0][0]
__________________________________________________________________________________________________
conv4_block3_2_conv (Conv2D) (None, 12, 16, 32) 36864 conv4_block3_1_relu[0][0]
__________________________________________________________________________________________________
conv4_block3_concat (Concatenat (None, 12, 16, 352) 0 conv4_block2_concat[0][0]
conv4_block3_2_conv[0][0]
__________________________________________________________________________________________________
conv4_block4_0_bn (BatchNormali (None, 12, 16, 352) 1408 conv4_block3_concat[0][0]
__________________________________________________________________________________________________
conv4_block4_0_relu (Activation (None, 12, 16, 352) 0 conv4_block4_0_bn[0][0]
__________________________________________________________________________________________________
conv4_block4_1_conv (Conv2D) (None, 12, 16, 128) 45056 conv4_block4_0_relu[0][0]
__________________________________________________________________________________________________
conv4_block4_1_bn (BatchNormali (None, 12, 16, 128) 512 conv4_block4_1_conv[0][0]
__________________________________________________________________________________________________
conv4_block4_1_relu (Activation (None, 12, 16, 128) 0 conv4_block4_1_bn[0][0]
__________________________________________________________________________________________________
conv4_block4_2_conv (Conv2D) (None, 12, 16, 32) 36864 conv4_block4_1_relu[0][0]
__________________________________________________________________________________________________
conv4_block4_concat (Concatenat (None, 12, 16, 384) 0 conv4_block3_concat[0][0]
conv4_block4_2_conv[0][0]
__________________________________________________________________________________________________
conv4_block5_0_bn (BatchNormali (None, 12, 16, 384) 1536 conv4_block4_concat[0][0]
__________________________________________________________________________________________________
conv4_block5_0_relu (Activation (None, 12, 16, 384) 0 conv4_block5_0_bn[0][0]
__________________________________________________________________________________________________
conv4_block5_1_conv (Conv2D) (None, 12, 16, 128) 49152 conv4_block5_0_relu[0][0]
__________________________________________________________________________________________________
conv4_block5_1_bn (BatchNormali (None, 12, 16, 128) 512 conv4_block5_1_conv[0][0]
__________________________________________________________________________________________________
conv4_block5_1_relu (Activation (None, 12, 16, 128) 0 conv4_block5_1_bn[0][0]
__________________________________________________________________________________________________
conv4_block5_2_conv (Conv2D) (None, 12, 16, 32) 36864 conv4_block5_1_relu[0][0]
__________________________________________________________________________________________________
conv4_block5_concat (Concatenat (None, 12, 16, 416) 0 conv4_block4_concat[0][0]
conv4_block5_2_conv[0][0]
__________________________________________________________________________________________________
conv4_block6_0_bn (BatchNormali (None, 12, 16, 416) 1664 conv4_block5_concat[0][0]
__________________________________________________________________________________________________
conv4_block6_0_relu (Activation (None, 12, 16, 416) 0 conv4_block6_0_bn[0][0]
__________________________________________________________________________________________________
conv4_block6_1_conv (Conv2D) (None, 12, 16, 128) 53248 conv4_block6_0_relu[0][0]
__________________________________________________________________________________________________
conv4_block6_1_bn (BatchNormali (None, 12, 16, 128) 512 conv4_block6_1_conv[0][0]
__________________________________________________________________________________________________
conv4_block6_1_relu (Activation (None, 12, 16, 128) 0 conv4_block6_1_bn[0][0]
__________________________________________________________________________________________________
conv4_block6_2_conv (Conv2D) (None, 12, 16, 32) 36864 conv4_block6_1_relu[0][0]
__________________________________________________________________________________________________
conv4_block6_concat (Concatenat (None, 12, 16, 448) 0 conv4_block5_concat[0][0]
conv4_block6_2_conv[0][0]
__________________________________________________________________________________________________
conv4_block7_0_bn (BatchNormali (None, 12, 16, 448) 1792 conv4_block6_concat[0][0]
__________________________________________________________________________________________________
conv4_block7_0_relu (Activation (None, 12, 16, 448) 0 conv4_block7_0_bn[0][0]
__________________________________________________________________________________________________
conv4_block7_1_conv (Conv2D) (None, 12, 16, 128) 57344 conv4_block7_0_relu[0][0]
__________________________________________________________________________________________________
conv4_block7_1_bn (BatchNormali (None, 12, 16, 128) 512 conv4_block7_1_conv[0][0]
__________________________________________________________________________________________________
conv4_block7_1_relu (Activation (None, 12, 16, 128) 0 conv4_block7_1_bn[0][0]
__________________________________________________________________________________________________
conv4_block7_2_conv (Conv2D) (None, 12, 16, 32) 36864 conv4_block7_1_relu[0][0]
__________________________________________________________________________________________________
conv4_block7_concat (Concatenat (None, 12, 16, 480) 0 conv4_block6_concat[0][0]
conv4_block7_2_conv[0][0]
__________________________________________________________________________________________________
conv4_block8_0_bn (BatchNormali (None, 12, 16, 480) 1920 conv4_block7_concat[0][0]
__________________________________________________________________________________________________
conv4_block8_0_relu (Activation (None, 12, 16, 480) 0 conv4_block8_0_bn[0][0]
__________________________________________________________________________________________________
conv4_block8_1_conv (Conv2D) (None, 12, 16, 128) 61440 conv4_block8_0_relu[0][0]
__________________________________________________________________________________________________
conv4_block8_1_bn (BatchNormali (None, 12, 16, 128) 512 conv4_block8_1_conv[0][0]
__________________________________________________________________________________________________
conv4_block8_1_relu (Activation (None, 12, 16, 128) 0 conv4_block8_1_bn[0][0]
__________________________________________________________________________________________________
conv4_block8_2_conv (Conv2D) (None, 12, 16, 32) 36864 conv4_block8_1_relu[0][0]
__________________________________________________________________________________________________
conv4_block8_concat (Concatenat (None, 12, 16, 512) 0 conv4_block7_concat[0][0]
conv4_block8_2_conv[0][0]
__________________________________________________________________________________________________
conv4_block9_0_bn (BatchNormali (None, 12, 16, 512) 2048 conv4_block8_concat[0][0]
__________________________________________________________________________________________________
conv4_block9_0_relu (Activation (None, 12, 16, 512) 0 conv4_block9_0_bn[0][0]
__________________________________________________________________________________________________
conv4_block9_1_conv (Conv2D) (None, 12, 16, 128) 65536 conv4_block9_0_relu[0][0]
__________________________________________________________________________________________________
conv4_block9_1_bn (BatchNormali (None, 12, 16, 128) 512 conv4_block9_1_conv[0][0]
__________________________________________________________________________________________________
conv4_block9_1_relu (Activation (None, 12, 16, 128) 0 conv4_block9_1_bn[0][0]
__________________________________________________________________________________________________
conv4_block9_2_conv (Conv2D) (None, 12, 16, 32) 36864 conv4_block9_1_relu[0][0]
__________________________________________________________________________________________________
conv4_block9_concat (Concatenat (None, 12, 16, 544) 0 conv4_block8_concat[0][0]
conv4_block9_2_conv[0][0]
__________________________________________________________________________________________________
conv4_block10_0_bn (BatchNormal (None, 12, 16, 544) 2176 conv4_block9_concat[0][0]
__________________________________________________________________________________________________
conv4_block10_0_relu (Activatio (None, 12, 16, 544) 0 conv4_block10_0_bn[0][0]
__________________________________________________________________________________________________
conv4_block10_1_conv (Conv2D) (None, 12, 16, 128) 69632 conv4_block10_0_relu[0][0]
__________________________________________________________________________________________________
conv4_block10_1_bn (BatchNormal (None, 12, 16, 128) 512 conv4_block10_1_conv[0][0]
__________________________________________________________________________________________________
conv4_block10_1_relu (Activatio (None, 12, 16, 128) 0 conv4_block10_1_bn[0][0]
__________________________________________________________________________________________________
conv4_block10_2_conv (Conv2D) (None, 12, 16, 32) 36864 conv4_block10_1_relu[0][0]
__________________________________________________________________________________________________
conv4_block10_concat (Concatena (None, 12, 16, 576) 0 conv4_block9_concat[0][0]
conv4_block10_2_conv[0][0]
__________________________________________________________________________________________________
conv4_block11_0_bn (BatchNormal (None, 12, 16, 576) 2304 conv4_block10_concat[0][0]
__________________________________________________________________________________________________
conv4_block11_0_relu (Activatio (None, 12, 16, 576) 0 conv4_block11_0_bn[0][0]
__________________________________________________________________________________________________
conv4_block11_1_conv (Conv2D) (None, 12, 16, 128) 73728 conv4_block11_0_relu[0][0]
__________________________________________________________________________________________________
conv4_block11_1_bn (BatchNormal (None, 12, 16, 128) 512 conv4_block11_1_conv[0][0]
__________________________________________________________________________________________________
conv4_block11_1_relu (Activatio (None, 12, 16, 128) 0 conv4_block11_1_bn[0][0]
__________________________________________________________________________________________________
conv4_block11_2_conv (Conv2D) (None, 12, 16, 32) 36864 conv4_block11_1_relu[0][0]
__________________________________________________________________________________________________
conv4_block11_concat (Concatena (None, 12, 16, 608) 0 conv4_block10_concat[0][0]
conv4_block11_2_conv[0][0]
__________________________________________________________________________________________________
conv4_block12_0_bn (BatchNormal (None, 12, 16, 608) 2432 conv4_block11_concat[0][0]
__________________________________________________________________________________________________
conv4_block12_0_relu (Activatio (None, 12, 16, 608) 0 conv4_block12_0_bn[0][0]
__________________________________________________________________________________________________
conv4_block12_1_conv (Conv2D) (None, 12, 16, 128) 77824 conv4_block12_0_relu[0][0]
__________________________________________________________________________________________________
conv4_block12_1_bn (BatchNormal (None, 12, 16, 128) 512 conv4_block12_1_conv[0][0]
__________________________________________________________________________________________________
conv4_block12_1_relu (Activatio (None, 12, 16, 128) 0 conv4_block12_1_bn[0][0]
__________________________________________________________________________________________________
conv4_block12_2_conv (Conv2D) (None, 12, 16, 32) 36864 conv4_block12_1_relu[0][0]
__________________________________________________________________________________________________
conv4_block12_concat (Concatena (None, 12, 16, 640) 0 conv4_block11_concat[0][0]
conv4_block12_2_conv[0][0]
__________________________________________________________________________________________________
conv4_block13_0_bn (BatchNormal (None, 12, 16, 640) 2560 conv4_block12_concat[0][0]
__________________________________________________________________________________________________
conv4_block13_0_relu (Activatio (None, 12, 16, 640) 0 conv4_block13_0_bn[0][0]
__________________________________________________________________________________________________
conv4_block13_1_conv (Conv2D) (None, 12, 16, 128) 81920 conv4_block13_0_relu[0][0]
__________________________________________________________________________________________________
conv4_block13_1_bn (BatchNormal (None, 12, 16, 128) 512 conv4_block13_1_conv[0][0]
__________________________________________________________________________________________________
conv4_block13_1_relu (Activatio (None, 12, 16, 128) 0 conv4_block13_1_bn[0][0]
__________________________________________________________________________________________________
conv4_block13_2_conv (Conv2D) (None, 12, 16, 32) 36864 conv4_block13_1_relu[0][0]
__________________________________________________________________________________________________
conv4_block13_concat (Concatena (None, 12, 16, 672) 0 conv4_block12_concat[0][0]
conv4_block13_2_conv[0][0]
__________________________________________________________________________________________________
conv4_block14_0_bn (BatchNormal (None, 12, 16, 672) 2688 conv4_block13_concat[0][0]
__________________________________________________________________________________________________
conv4_block14_0_relu (Activatio (None, 12, 16, 672) 0 conv4_block14_0_bn[0][0]
__________________________________________________________________________________________________
conv4_block14_1_conv (Conv2D) (None, 12, 16, 128) 86016 conv4_block14_0_relu[0][0]
__________________________________________________________________________________________________
conv4_block14_1_bn (BatchNormal (None, 12, 16, 128) 512 conv4_block14_1_conv[0][0]
__________________________________________________________________________________________________
conv4_block14_1_relu (Activatio (None, 12, 16, 128) 0 conv4_block14_1_bn[0][0]
__________________________________________________________________________________________________
conv4_block14_2_conv (Conv2D) (None, 12, 16, 32) 36864 conv4_block14_1_relu[0][0]
__________________________________________________________________________________________________
conv4_block14_concat (Concatena (None, 12, 16, 704) 0 conv4_block13_concat[0][0]
conv4_block14_2_conv[0][0]
__________________________________________________________________________________________________
conv4_block15_0_bn (BatchNormal (None, 12, 16, 704) 2816 conv4_block14_concat[0][0]
__________________________________________________________________________________________________
conv4_block15_0_relu (Activatio (None, 12, 16, 704) 0 conv4_block15_0_bn[0][0]
__________________________________________________________________________________________________
conv4_block15_1_conv (Conv2D) (None, 12, 16, 128) 90112 conv4_block15_0_relu[0][0]
__________________________________________________________________________________________________
conv4_block15_1_bn (BatchNormal (None, 12, 16, 128) 512 conv4_block15_1_conv[0][0]
__________________________________________________________________________________________________
conv4_block15_1_relu (Activatio (None, 12, 16, 128) 0 conv4_block15_1_bn[0][0]
__________________________________________________________________________________________________
conv4_block15_2_conv (Conv2D) (None, 12, 16, 32) 36864 conv4_block15_1_relu[0][0]
__________________________________________________________________________________________________
conv4_block15_concat (Concatena (None, 12, 16, 736) 0 conv4_block14_concat[0][0]
conv4_block15_2_conv[0][0]
__________________________________________________________________________________________________
conv4_block16_0_bn (BatchNormal (None, 12, 16, 736) 2944 conv4_block15_concat[0][0]
__________________________________________________________________________________________________
conv4_block16_0_relu (Activatio (None, 12, 16, 736) 0 conv4_block16_0_bn[0][0]
__________________________________________________________________________________________________
conv4_block16_1_conv (Conv2D) (None, 12, 16, 128) 94208 conv4_block16_0_relu[0][0]
__________________________________________________________________________________________________
conv4_block16_1_bn (BatchNormal (None, 12, 16, 128) 512 conv4_block16_1_conv[0][0]
__________________________________________________________________________________________________
conv4_block16_1_relu (Activatio (None, 12, 16, 128) 0 conv4_block16_1_bn[0][0]
__________________________________________________________________________________________________
conv4_block16_2_conv (Conv2D) (None, 12, 16, 32) 36864 conv4_block16_1_relu[0][0]
__________________________________________________________________________________________________
conv4_block16_concat (Concatena (None, 12, 16, 768) 0 conv4_block15_concat[0][0]
conv4_block16_2_conv[0][0]
__________________________________________________________________________________________________
conv4_block17_0_bn (BatchNormal (None, 12, 16, 768) 3072 conv4_block16_concat[0][0]
__________________________________________________________________________________________________
conv4_block17_0_relu (Activatio (None, 12, 16, 768) 0 conv4_block17_0_bn[0][0]
__________________________________________________________________________________________________
conv4_block17_1_conv (Conv2D) (None, 12, 16, 128) 98304 conv4_block17_0_relu[0][0]
__________________________________________________________________________________________________
conv4_block17_1_bn (BatchNormal (None, 12, 16, 128) 512 conv4_block17_1_conv[0][0]
__________________________________________________________________________________________________
conv4_block17_1_relu (Activatio (None, 12, 16, 128) 0 conv4_block17_1_bn[0][0]
__________________________________________________________________________________________________
conv4_block17_2_conv (Conv2D) (None, 12, 16, 32) 36864 conv4_block17_1_relu[0][0]
__________________________________________________________________________________________________
conv4_block17_concat (Concatena (None, 12, 16, 800) 0 conv4_block16_concat[0][0]
conv4_block17_2_conv[0][0]
__________________________________________________________________________________________________
conv4_block18_0_bn (BatchNormal (None, 12, 16, 800) 3200 conv4_block17_concat[0][0]
__________________________________________________________________________________________________
conv4_block18_0_relu (Activatio (None, 12, 16, 800) 0 conv4_block18_0_bn[0][0]
__________________________________________________________________________________________________
conv4_block18_1_conv (Conv2D) (None, 12, 16, 128) 102400 conv4_block18_0_relu[0][0]
__________________________________________________________________________________________________
conv4_block18_1_bn (BatchNormal (None, 12, 16, 128) 512 conv4_block18_1_conv[0][0]
__________________________________________________________________________________________________
conv4_block18_1_relu (Activatio (None, 12, 16, 128) 0 conv4_block18_1_bn[0][0]
__________________________________________________________________________________________________
conv4_block18_2_conv (Conv2D) (None, 12, 16, 32) 36864 conv4_block18_1_relu[0][0]
__________________________________________________________________________________________________
conv4_block18_concat (Concatena (None, 12, 16, 832) 0 conv4_block17_concat[0][0]
conv4_block18_2_conv[0][0]
__________________________________________________________________________________________________
conv4_block19_0_bn (BatchNormal (None, 12, 16, 832) 3328 conv4_block18_concat[0][0]
__________________________________________________________________________________________________
conv4_block19_0_relu (Activatio (None, 12, 16, 832) 0 conv4_block19_0_bn[0][0]
__________________________________________________________________________________________________
conv4_block19_1_conv (Conv2D) (None, 12, 16, 128) 106496 conv4_block19_0_relu[0][0]
__________________________________________________________________________________________________
conv4_block19_1_bn (BatchNormal (None, 12, 16, 128) 512 conv4_block19_1_conv[0][0]
__________________________________________________________________________________________________
conv4_block19_1_relu (Activatio (None, 12, 16, 128) 0 conv4_block19_1_bn[0][0]
__________________________________________________________________________________________________
conv4_block19_2_conv (Conv2D) (None, 12, 16, 32) 36864 conv4_block19_1_relu[0][0]
__________________________________________________________________________________________________
conv4_block19_concat (Concatena (None, 12, 16, 864) 0 conv4_block18_concat[0][0]
conv4_block19_2_conv[0][0]
__________________________________________________________________________________________________
conv4_block20_0_bn (BatchNormal (None, 12, 16, 864) 3456 conv4_block19_concat[0][0]
__________________________________________________________________________________________________
conv4_block20_0_relu (Activatio (None, 12, 16, 864) 0 conv4_block20_0_bn[0][0]
__________________________________________________________________________________________________
conv4_block20_1_conv (Conv2D) (None, 12, 16, 128) 110592 conv4_block20_0_relu[0][0]
__________________________________________________________________________________________________
conv4_block20_1_bn (BatchNormal (None, 12, 16, 128) 512 conv4_block20_1_conv[0][0]
__________________________________________________________________________________________________
conv4_block20_1_relu (Activatio (None, 12, 16, 128) 0 conv4_block20_1_bn[0][0]
__________________________________________________________________________________________________
conv4_block20_2_conv (Conv2D) (None, 12, 16, 32) 36864 conv4_block20_1_relu[0][0]
__________________________________________________________________________________________________
conv4_block20_concat (Concatena (None, 12, 16, 896) 0 conv4_block19_concat[0][0]
conv4_block20_2_conv[0][0]
__________________________________________________________________________________________________
conv4_block21_0_bn (BatchNormal (None, 12, 16, 896) 3584 conv4_block20_concat[0][0]
__________________________________________________________________________________________________
conv4_block21_0_relu (Activatio (None, 12, 16, 896) 0 conv4_block21_0_bn[0][0]
__________________________________________________________________________________________________
conv4_block21_1_conv (Conv2D) (None, 12, 16, 128) 114688 conv4_block21_0_relu[0][0]
__________________________________________________________________________________________________
conv4_block21_1_bn (BatchNormal (None, 12, 16, 128) 512 conv4_block21_1_conv[0][0]
__________________________________________________________________________________________________
conv4_block21_1_relu (Activatio (None, 12, 16, 128) 0 conv4_block21_1_bn[0][0]
__________________________________________________________________________________________________
conv4_block21_2_conv (Conv2D) (None, 12, 16, 32) 36864 conv4_block21_1_relu[0][0]
__________________________________________________________________________________________________
conv4_block21_concat (Concatena (None, 12, 16, 928) 0 conv4_block20_concat[0][0]
conv4_block21_2_conv[0][0]
__________________________________________________________________________________________________
conv4_block22_0_bn (BatchNormal (None, 12, 16, 928) 3712 conv4_block21_concat[0][0]
__________________________________________________________________________________________________
conv4_block22_0_relu (Activatio (None, 12, 16, 928) 0 conv4_block22_0_bn[0][0]
__________________________________________________________________________________________________
conv4_block22_1_conv (Conv2D) (None, 12, 16, 128) 118784 conv4_block22_0_relu[0][0]
__________________________________________________________________________________________________
conv4_block22_1_bn (BatchNormal (None, 12, 16, 128) 512 conv4_block22_1_conv[0][0]
__________________________________________________________________________________________________
conv4_block22_1_relu (Activatio (None, 12, 16, 128) 0 conv4_block22_1_bn[0][0]
__________________________________________________________________________________________________
conv4_block22_2_conv (Conv2D) (None, 12, 16, 32) 36864 conv4_block22_1_relu[0][0]
__________________________________________________________________________________________________
conv4_block22_concat (Concatena (None, 12, 16, 960) 0 conv4_block21_concat[0][0]
conv4_block22_2_conv[0][0]
__________________________________________________________________________________________________
conv4_block23_0_bn (BatchNormal (None, 12, 16, 960) 3840 conv4_block22_concat[0][0]
__________________________________________________________________________________________________
conv4_block23_0_relu (Activatio (None, 12, 16, 960) 0 conv4_block23_0_bn[0][0]
__________________________________________________________________________________________________
conv4_block23_1_conv (Conv2D) (None, 12, 16, 128) 122880 conv4_block23_0_relu[0][0]
__________________________________________________________________________________________________
conv4_block23_1_bn (BatchNormal (None, 12, 16, 128) 512 conv4_block23_1_conv[0][0]
__________________________________________________________________________________________________
conv4_block23_1_relu (Activatio (None, 12, 16, 128) 0 conv4_block23_1_bn[0][0]
__________________________________________________________________________________________________
conv4_block23_2_conv (Conv2D) (None, 12, 16, 32) 36864 conv4_block23_1_relu[0][0]
__________________________________________________________________________________________________
conv4_block23_concat (Concatena (None, 12, 16, 992) 0 conv4_block22_concat[0][0]
conv4_block23_2_conv[0][0]
__________________________________________________________________________________________________
conv4_block24_0_bn (BatchNormal (None, 12, 16, 992) 3968 conv4_block23_concat[0][0]
__________________________________________________________________________________________________
conv4_block24_0_relu (Activatio (None, 12, 16, 992) 0 conv4_block24_0_bn[0][0]
__________________________________________________________________________________________________
conv4_block24_1_conv (Conv2D) (None, 12, 16, 128) 126976 conv4_block24_0_relu[0][0]
__________________________________________________________________________________________________
conv4_block24_1_bn (BatchNormal (None, 12, 16, 128) 512 conv4_block24_1_conv[0][0]
__________________________________________________________________________________________________
conv4_block24_1_relu (Activatio (None, 12, 16, 128) 0 conv4_block24_1_bn[0][0]
__________________________________________________________________________________________________
conv4_block24_2_conv (Conv2D) (None, 12, 16, 32) 36864 conv4_block24_1_relu[0][0]
__________________________________________________________________________________________________
conv4_block24_concat (Concatena (None, 12, 16, 1024) 0 conv4_block23_concat[0][0]
conv4_block24_2_conv[0][0]
__________________________________________________________________________________________________
conv4_block25_0_bn (BatchNormal (None, 12, 16, 1024) 4096 conv4_block24_concat[0][0]
__________________________________________________________________________________________________
conv4_block25_0_relu (Activatio (None, 12, 16, 1024) 0 conv4_block25_0_bn[0][0]
__________________________________________________________________________________________________
conv4_block25_1_conv (Conv2D) (None, 12, 16, 128) 131072 conv4_block25_0_relu[0][0]
__________________________________________________________________________________________________
conv4_block25_1_bn (BatchNormal (None, 12, 16, 128) 512 conv4_block25_1_conv[0][0]
__________________________________________________________________________________________________
conv4_block25_1_relu (Activatio (None, 12, 16, 128) 0 conv4_block25_1_bn[0][0]
__________________________________________________________________________________________________
conv4_block25_2_conv (Conv2D) (None, 12, 16, 32) 36864 conv4_block25_1_relu[0][0]
__________________________________________________________________________________________________
conv4_block25_concat (Concatena (None, 12, 16, 1056) 0 conv4_block24_concat[0][0]
conv4_block25_2_conv[0][0]
__________________________________________________________________________________________________
conv4_block26_0_bn (BatchNormal (None, 12, 16, 1056) 4224 conv4_block25_concat[0][0]
__________________________________________________________________________________________________
conv4_block26_0_relu (Activatio (None, 12, 16, 1056) 0 conv4_block26_0_bn[0][0]
__________________________________________________________________________________________________
conv4_block26_1_conv (Conv2D) (None, 12, 16, 128) 135168 conv4_block26_0_relu[0][0]
__________________________________________________________________________________________________
conv4_block26_1_bn (BatchNormal (None, 12, 16, 128) 512 conv4_block26_1_conv[0][0]
__________________________________________________________________________________________________
conv4_block26_1_relu (Activatio (None, 12, 16, 128) 0 conv4_block26_1_bn[0][0]
__________________________________________________________________________________________________
conv4_block26_2_conv (Conv2D) (None, 12, 16, 32) 36864 conv4_block26_1_relu[0][0]
__________________________________________________________________________________________________
conv4_block26_concat (Concatena (None, 12, 16, 1088) 0 conv4_block25_concat[0][0]
conv4_block26_2_conv[0][0]
__________________________________________________________________________________________________
conv4_block27_0_bn (BatchNormal (None, 12, 16, 1088) 4352 conv4_block26_concat[0][0]
__________________________________________________________________________________________________
conv4_block27_0_relu (Activatio (None, 12, 16, 1088) 0 conv4_block27_0_bn[0][0]
__________________________________________________________________________________________________
conv4_block27_1_conv (Conv2D) (None, 12, 16, 128) 139264 conv4_block27_0_relu[0][0]
__________________________________________________________________________________________________
conv4_block27_1_bn (BatchNormal (None, 12, 16, 128) 512 conv4_block27_1_conv[0][0]
__________________________________________________________________________________________________
conv4_block27_1_relu (Activatio (None, 12, 16, 128) 0 conv4_block27_1_bn[0][0]
__________________________________________________________________________________________________
conv4_block27_2_conv (Conv2D) (None, 12, 16, 32) 36864 conv4_block27_1_relu[0][0]
__________________________________________________________________________________________________
conv4_block27_concat (Concatena (None, 12, 16, 1120) 0 conv4_block26_concat[0][0]
conv4_block27_2_conv[0][0]
__________________________________________________________________________________________________
conv4_block28_0_bn (BatchNormal (None, 12, 16, 1120) 4480 conv4_block27_concat[0][0]
__________________________________________________________________________________________________
conv4_block28_0_relu (Activatio (None, 12, 16, 1120) 0 conv4_block28_0_bn[0][0]
__________________________________________________________________________________________________
conv4_block28_1_conv (Conv2D) (None, 12, 16, 128) 143360 conv4_block28_0_relu[0][0]
__________________________________________________________________________________________________
conv4_block28_1_bn (BatchNormal (None, 12, 16, 128) 512 conv4_block28_1_conv[0][0]
__________________________________________________________________________________________________
conv4_block28_1_relu (Activatio (None, 12, 16, 128) 0 conv4_block28_1_bn[0][0]
__________________________________________________________________________________________________
conv4_block28_2_conv (Conv2D) (None, 12, 16, 32) 36864 conv4_block28_1_relu[0][0]
__________________________________________________________________________________________________
conv4_block28_concat (Concatena (None, 12, 16, 1152) 0 conv4_block27_concat[0][0]
conv4_block28_2_conv[0][0]
__________________________________________________________________________________________________
conv4_block29_0_bn (BatchNormal (None, 12, 16, 1152) 4608 conv4_block28_concat[0][0]
__________________________________________________________________________________________________
conv4_block29_0_relu (Activatio (None, 12, 16, 1152) 0 conv4_block29_0_bn[0][0]
__________________________________________________________________________________________________
conv4_block29_1_conv (Conv2D) (None, 12, 16, 128) 147456 conv4_block29_0_relu[0][0]
__________________________________________________________________________________________________
conv4_block29_1_bn (BatchNormal (None, 12, 16, 128) 512 conv4_block29_1_conv[0][0]
__________________________________________________________________________________________________
conv4_block29_1_relu (Activatio (None, 12, 16, 128) 0 conv4_block29_1_bn[0][0]
__________________________________________________________________________________________________
conv4_block29_2_conv (Conv2D) (None, 12, 16, 32) 36864 conv4_block29_1_relu[0][0]
__________________________________________________________________________________________________
conv4_block29_concat (Concatena (None, 12, 16, 1184) 0 conv4_block28_concat[0][0]
conv4_block29_2_conv[0][0]
__________________________________________________________________________________________________
conv4_block30_0_bn (BatchNormal (None, 12, 16, 1184) 4736 conv4_block29_concat[0][0]
__________________________________________________________________________________________________
conv4_block30_0_relu (Activatio (None, 12, 16, 1184) 0 conv4_block30_0_bn[0][0]
__________________________________________________________________________________________________
conv4_block30_1_conv (Conv2D) (None, 12, 16, 128) 151552 conv4_block30_0_relu[0][0]
__________________________________________________________________________________________________
conv4_block30_1_bn (BatchNormal (None, 12, 16, 128) 512 conv4_block30_1_conv[0][0]
__________________________________________________________________________________________________
conv4_block30_1_relu (Activatio (None, 12, 16, 128) 0 conv4_block30_1_bn[0][0]
__________________________________________________________________________________________________
conv4_block30_2_conv (Conv2D) (None, 12, 16, 32) 36864 conv4_block30_1_relu[0][0]
__________________________________________________________________________________________________
conv4_block30_concat (Concatena (None, 12, 16, 1216) 0 conv4_block29_concat[0][0]
conv4_block30_2_conv[0][0]
__________________________________________________________________________________________________
conv4_block31_0_bn (BatchNormal (None, 12, 16, 1216) 4864 conv4_block30_concat[0][0]
__________________________________________________________________________________________________
conv4_block31_0_relu (Activatio (None, 12, 16, 1216) 0 conv4_block31_0_bn[0][0]
__________________________________________________________________________________________________
conv4_block31_1_conv (Conv2D) (None, 12, 16, 128) 155648 conv4_block31_0_relu[0][0]
__________________________________________________________________________________________________
conv4_block31_1_bn (BatchNormal (None, 12, 16, 128) 512 conv4_block31_1_conv[0][0]
__________________________________________________________________________________________________
conv4_block31_1_relu (Activatio (None, 12, 16, 128) 0 conv4_block31_1_bn[0][0]
__________________________________________________________________________________________________
conv4_block31_2_conv (Conv2D) (None, 12, 16, 32) 36864 conv4_block31_1_relu[0][0]
__________________________________________________________________________________________________
conv4_block31_concat (Concatena (None, 12, 16, 1248) 0 conv4_block30_concat[0][0]
conv4_block31_2_conv[0][0]
__________________________________________________________________________________________________
conv4_block32_0_bn (BatchNormal (None, 12, 16, 1248) 4992 conv4_block31_concat[0][0]
__________________________________________________________________________________________________
conv4_block32_0_relu (Activatio (None, 12, 16, 1248) 0 conv4_block32_0_bn[0][0]
__________________________________________________________________________________________________
conv4_block32_1_conv (Conv2D) (None, 12, 16, 128) 159744 conv4_block32_0_relu[0][0]
__________________________________________________________________________________________________
conv4_block32_1_bn (BatchNormal (None, 12, 16, 128) 512 conv4_block32_1_conv[0][0]
__________________________________________________________________________________________________
conv4_block32_1_relu (Activatio (None, 12, 16, 128) 0 conv4_block32_1_bn[0][0]
__________________________________________________________________________________________________
conv4_block32_2_conv (Conv2D) (None, 12, 16, 32) 36864 conv4_block32_1_relu[0][0]
__________________________________________________________________________________________________
conv4_block32_concat (Concatena (None, 12, 16, 1280) 0 conv4_block31_concat[0][0]
conv4_block32_2_conv[0][0]
__________________________________________________________________________________________________
conv4_block33_0_bn (BatchNormal (None, 12, 16, 1280) 5120 conv4_block32_concat[0][0]
__________________________________________________________________________________________________
conv4_block33_0_relu (Activatio (None, 12, 16, 1280) 0 conv4_block33_0_bn[0][0]
__________________________________________________________________________________________________
conv4_block33_1_conv (Conv2D) (None, 12, 16, 128) 163840 conv4_block33_0_relu[0][0]
__________________________________________________________________________________________________
conv4_block33_1_bn (BatchNormal (None, 12, 16, 128) 512 conv4_block33_1_conv[0][0]
__________________________________________________________________________________________________
conv4_block33_1_relu (Activatio (None, 12, 16, 128) 0 conv4_block33_1_bn[0][0]
__________________________________________________________________________________________________
conv4_block33_2_conv (Conv2D) (None, 12, 16, 32) 36864 conv4_block33_1_relu[0][0]
__________________________________________________________________________________________________
conv4_block33_concat (Concatena (None, 12, 16, 1312) 0 conv4_block32_concat[0][0]
conv4_block33_2_conv[0][0]
__________________________________________________________________________________________________
conv4_block34_0_bn (BatchNormal (None, 12, 16, 1312) 5248 conv4_block33_concat[0][0]
__________________________________________________________________________________________________
conv4_block34_0_relu (Activatio (None, 12, 16, 1312) 0 conv4_block34_0_bn[0][0]
__________________________________________________________________________________________________
conv4_block34_1_conv (Conv2D) (None, 12, 16, 128) 167936 conv4_block34_0_relu[0][0]
__________________________________________________________________________________________________
conv4_block34_1_bn (BatchNormal (None, 12, 16, 128) 512 conv4_block34_1_conv[0][0]
__________________________________________________________________________________________________
conv4_block34_1_relu (Activatio (None, 12, 16, 128) 0 conv4_block34_1_bn[0][0]
__________________________________________________________________________________________________
conv4_block34_2_conv (Conv2D) (None, 12, 16, 32) 36864 conv4_block34_1_relu[0][0]
__________________________________________________________________________________________________
conv4_block34_concat (Concatena (None, 12, 16, 1344) 0 conv4_block33_concat[0][0]
conv4_block34_2_conv[0][0]
__________________________________________________________________________________________________
conv4_block35_0_bn (BatchNormal (None, 12, 16, 1344) 5376 conv4_block34_concat[0][0]
__________________________________________________________________________________________________
conv4_block35_0_relu (Activatio (None, 12, 16, 1344) 0 conv4_block35_0_bn[0][0]
__________________________________________________________________________________________________
conv4_block35_1_conv (Conv2D) (None, 12, 16, 128) 172032 conv4_block35_0_relu[0][0]
__________________________________________________________________________________________________
conv4_block35_1_bn (BatchNormal (None, 12, 16, 128) 512 conv4_block35_1_conv[0][0]
__________________________________________________________________________________________________
conv4_block35_1_relu (Activatio (None, 12, 16, 128) 0 conv4_block35_1_bn[0][0]
__________________________________________________________________________________________________
conv4_block35_2_conv (Conv2D) (None, 12, 16, 32) 36864 conv4_block35_1_relu[0][0]
__________________________________________________________________________________________________
conv4_block35_concat (Concatena (None, 12, 16, 1376) 0 conv4_block34_concat[0][0]
conv4_block35_2_conv[0][0]
__________________________________________________________________________________________________
conv4_block36_0_bn (BatchNormal (None, 12, 16, 1376) 5504 conv4_block35_concat[0][0]
__________________________________________________________________________________________________
conv4_block36_0_relu (Activatio (None, 12, 16, 1376) 0 conv4_block36_0_bn[0][0]
__________________________________________________________________________________________________
conv4_block36_1_conv (Conv2D) (None, 12, 16, 128) 176128 conv4_block36_0_relu[0][0]
__________________________________________________________________________________________________
conv4_block36_1_bn (BatchNormal (None, 12, 16, 128) 512 conv4_block36_1_conv[0][0]
__________________________________________________________________________________________________
conv4_block36_1_relu (Activatio (None, 12, 16, 128) 0 conv4_block36_1_bn[0][0]
__________________________________________________________________________________________________
conv4_block36_2_conv (Conv2D) (None, 12, 16, 32) 36864 conv4_block36_1_relu[0][0]
__________________________________________________________________________________________________
conv4_block36_concat (Concatena (None, 12, 16, 1408) 0 conv4_block35_concat[0][0]
conv4_block36_2_conv[0][0]
__________________________________________________________________________________________________
conv4_block37_0_bn (BatchNormal (None, 12, 16, 1408) 5632 conv4_block36_concat[0][0]
__________________________________________________________________________________________________
conv4_block37_0_relu (Activatio (None, 12, 16, 1408) 0 conv4_block37_0_bn[0][0]
__________________________________________________________________________________________________
conv4_block37_1_conv (Conv2D) (None, 12, 16, 128) 180224 conv4_block37_0_relu[0][0]
__________________________________________________________________________________________________
conv4_block37_1_bn (BatchNormal (None, 12, 16, 128) 512 conv4_block37_1_conv[0][0]
__________________________________________________________________________________________________
conv4_block37_1_relu (Activatio (None, 12, 16, 128) 0 conv4_block37_1_bn[0][0]
__________________________________________________________________________________________________
conv4_block37_2_conv (Conv2D) (None, 12, 16, 32) 36864 conv4_block37_1_relu[0][0]
__________________________________________________________________________________________________
conv4_block37_concat (Concatena (None, 12, 16, 1440) 0 conv4_block36_concat[0][0]
conv4_block37_2_conv[0][0]
__________________________________________________________________________________________________
conv4_block38_0_bn (BatchNormal (None, 12, 16, 1440) 5760 conv4_block37_concat[0][0]
__________________________________________________________________________________________________
conv4_block38_0_relu (Activatio (None, 12, 16, 1440) 0 conv4_block38_0_bn[0][0]
__________________________________________________________________________________________________
conv4_block38_1_conv (Conv2D) (None, 12, 16, 128) 184320 conv4_block38_0_relu[0][0]
__________________________________________________________________________________________________
conv4_block38_1_bn (BatchNormal (None, 12, 16, 128) 512 conv4_block38_1_conv[0][0]
__________________________________________________________________________________________________
conv4_block38_1_relu (Activatio (None, 12, 16, 128) 0 conv4_block38_1_bn[0][0]
__________________________________________________________________________________________________
conv4_block38_2_conv (Conv2D) (None, 12, 16, 32) 36864 conv4_block38_1_relu[0][0]
__________________________________________________________________________________________________
conv4_block38_concat (Concatena (None, 12, 16, 1472) 0 conv4_block37_concat[0][0]
conv4_block38_2_conv[0][0]
__________________________________________________________________________________________________
conv4_block39_0_bn (BatchNormal (None, 12, 16, 1472) 5888 conv4_block38_concat[0][0]
__________________________________________________________________________________________________
conv4_block39_0_relu (Activatio (None, 12, 16, 1472) 0 conv4_block39_0_bn[0][0]
__________________________________________________________________________________________________
conv4_block39_1_conv (Conv2D) (None, 12, 16, 128) 188416 conv4_block39_0_relu[0][0]
__________________________________________________________________________________________________
conv4_block39_1_bn (BatchNormal (None, 12, 16, 128) 512 conv4_block39_1_conv[0][0]
__________________________________________________________________________________________________
conv4_block39_1_relu (Activatio (None, 12, 16, 128) 0 conv4_block39_1_bn[0][0]
__________________________________________________________________________________________________
conv4_block39_2_conv (Conv2D) (None, 12, 16, 32) 36864 conv4_block39_1_relu[0][0]
__________________________________________________________________________________________________
conv4_block39_concat (Concatena (None, 12, 16, 1504) 0 conv4_block38_concat[0][0]
conv4_block39_2_conv[0][0]
__________________________________________________________________________________________________
conv4_block40_0_bn (BatchNormal (None, 12, 16, 1504) 6016 conv4_block39_concat[0][0]
__________________________________________________________________________________________________
conv4_block40_0_relu (Activatio (None, 12, 16, 1504) 0 conv4_block40_0_bn[0][0]
__________________________________________________________________________________________________
conv4_block40_1_conv (Conv2D) (None, 12, 16, 128) 192512 conv4_block40_0_relu[0][0]
__________________________________________________________________________________________________
conv4_block40_1_bn (BatchNormal (None, 12, 16, 128) 512 conv4_block40_1_conv[0][0]
__________________________________________________________________________________________________
conv4_block40_1_relu (Activatio (None, 12, 16, 128) 0 conv4_block40_1_bn[0][0]
__________________________________________________________________________________________________
conv4_block40_2_conv (Conv2D) (None, 12, 16, 32) 36864 conv4_block40_1_relu[0][0]
__________________________________________________________________________________________________
conv4_block40_concat (Concatena (None, 12, 16, 1536) 0 conv4_block39_concat[0][0]
conv4_block40_2_conv[0][0]
__________________________________________________________________________________________________
conv4_block41_0_bn (BatchNormal (None, 12, 16, 1536) 6144 conv4_block40_concat[0][0]
__________________________________________________________________________________________________
conv4_block41_0_relu (Activatio (None, 12, 16, 1536) 0 conv4_block41_0_bn[0][0]
__________________________________________________________________________________________________
conv4_block41_1_conv (Conv2D) (None, 12, 16, 128) 196608 conv4_block41_0_relu[0][0]
__________________________________________________________________________________________________
conv4_block41_1_bn (BatchNormal (None, 12, 16, 128) 512 conv4_block41_1_conv[0][0]
__________________________________________________________________________________________________
conv4_block41_1_relu (Activatio (None, 12, 16, 128) 0 conv4_block41_1_bn[0][0]
__________________________________________________________________________________________________
conv4_block41_2_conv (Conv2D) (None, 12, 16, 32) 36864 conv4_block41_1_relu[0][0]
__________________________________________________________________________________________________
conv4_block41_concat (Concatena (None, 12, 16, 1568) 0 conv4_block40_concat[0][0]
conv4_block41_2_conv[0][0]
__________________________________________________________________________________________________
conv4_block42_0_bn (BatchNormal (None, 12, 16, 1568) 6272 conv4_block41_concat[0][0]
__________________________________________________________________________________________________
conv4_block42_0_relu (Activatio (None, 12, 16, 1568) 0 conv4_block42_0_bn[0][0]
__________________________________________________________________________________________________
conv4_block42_1_conv (Conv2D) (None, 12, 16, 128) 200704 conv4_block42_0_relu[0][0]
__________________________________________________________________________________________________
conv4_block42_1_bn (BatchNormal (None, 12, 16, 128) 512 conv4_block42_1_conv[0][0]
__________________________________________________________________________________________________
conv4_block42_1_relu (Activatio (None, 12, 16, 128) 0 conv4_block42_1_bn[0][0]
__________________________________________________________________________________________________
conv4_block42_2_conv (Conv2D) (None, 12, 16, 32) 36864 conv4_block42_1_relu[0][0]
__________________________________________________________________________________________________
conv4_block42_concat (Concatena (None, 12, 16, 1600) 0 conv4_block41_concat[0][0]
conv4_block42_2_conv[0][0]
__________________________________________________________________________________________________
conv4_block43_0_bn (BatchNormal (None, 12, 16, 1600) 6400 conv4_block42_concat[0][0]
__________________________________________________________________________________________________
conv4_block43_0_relu (Activatio (None, 12, 16, 1600) 0 conv4_block43_0_bn[0][0]
__________________________________________________________________________________________________
conv4_block43_1_conv (Conv2D) (None, 12, 16, 128) 204800 conv4_block43_0_relu[0][0]
__________________________________________________________________________________________________
conv4_block43_1_bn (BatchNormal (None, 12, 16, 128) 512 conv4_block43_1_conv[0][0]
__________________________________________________________________________________________________
conv4_block43_1_relu (Activatio (None, 12, 16, 128) 0 conv4_block43_1_bn[0][0]
__________________________________________________________________________________________________
conv4_block43_2_conv (Conv2D) (None, 12, 16, 32) 36864 conv4_block43_1_relu[0][0]
__________________________________________________________________________________________________
conv4_block43_concat (Concatena (None, 12, 16, 1632) 0 conv4_block42_concat[0][0]
conv4_block43_2_conv[0][0]
__________________________________________________________________________________________________
conv4_block44_0_bn (BatchNormal (None, 12, 16, 1632) 6528 conv4_block43_concat[0][0]
__________________________________________________________________________________________________
conv4_block44_0_relu (Activatio (None, 12, 16, 1632) 0 conv4_block44_0_bn[0][0]
__________________________________________________________________________________________________
conv4_block44_1_conv (Conv2D) (None, 12, 16, 128) 208896 conv4_block44_0_relu[0][0]
__________________________________________________________________________________________________
conv4_block44_1_bn (BatchNormal (None, 12, 16, 128) 512 conv4_block44_1_conv[0][0]
__________________________________________________________________________________________________
conv4_block44_1_relu (Activatio (None, 12, 16, 128) 0 conv4_block44_1_bn[0][0]
__________________________________________________________________________________________________
conv4_block44_2_conv (Conv2D) (None, 12, 16, 32) 36864 conv4_block44_1_relu[0][0]
__________________________________________________________________________________________________
conv4_block44_concat (Concatena (None, 12, 16, 1664) 0 conv4_block43_concat[0][0]
conv4_block44_2_conv[0][0]
__________________________________________________________________________________________________
conv4_block45_0_bn (BatchNormal (None, 12, 16, 1664) 6656 conv4_block44_concat[0][0]
__________________________________________________________________________________________________
conv4_block45_0_relu (Activatio (None, 12, 16, 1664) 0 conv4_block45_0_bn[0][0]
__________________________________________________________________________________________________
conv4_block45_1_conv (Conv2D) (None, 12, 16, 128) 212992 conv4_block45_0_relu[0][0]
__________________________________________________________________________________________________
conv4_block45_1_bn (BatchNormal (None, 12, 16, 128) 512 conv4_block45_1_conv[0][0]
__________________________________________________________________________________________________
conv4_block45_1_relu (Activatio (None, 12, 16, 128) 0 conv4_block45_1_bn[0][0]
__________________________________________________________________________________________________
conv4_block45_2_conv (Conv2D) (None, 12, 16, 32) 36864 conv4_block45_1_relu[0][0]
__________________________________________________________________________________________________
conv4_block45_concat (Concatena (None, 12, 16, 1696) 0 conv4_block44_concat[0][0]
conv4_block45_2_conv[0][0]
__________________________________________________________________________________________________
conv4_block46_0_bn (BatchNormal (None, 12, 16, 1696) 6784 conv4_block45_concat[0][0]
__________________________________________________________________________________________________
conv4_block46_0_relu (Activatio (None, 12, 16, 1696) 0 conv4_block46_0_bn[0][0]
__________________________________________________________________________________________________
conv4_block46_1_conv (Conv2D) (None, 12, 16, 128) 217088 conv4_block46_0_relu[0][0]
__________________________________________________________________________________________________
conv4_block46_1_bn (BatchNormal (None, 12, 16, 128) 512 conv4_block46_1_conv[0][0]
__________________________________________________________________________________________________
conv4_block46_1_relu (Activatio (None, 12, 16, 128) 0 conv4_block46_1_bn[0][0]
__________________________________________________________________________________________________
conv4_block46_2_conv (Conv2D) (None, 12, 16, 32) 36864 conv4_block46_1_relu[0][0]
__________________________________________________________________________________________________
conv4_block46_concat (Concatena (None, 12, 16, 1728) 0 conv4_block45_concat[0][0]
conv4_block46_2_conv[0][0]
__________________________________________________________________________________________________
conv4_block47_0_bn (BatchNormal (None, 12, 16, 1728) 6912 conv4_block46_concat[0][0]
__________________________________________________________________________________________________
conv4_block47_0_relu (Activatio (None, 12, 16, 1728) 0 conv4_block47_0_bn[0][0]
__________________________________________________________________________________________________
conv4_block47_1_conv (Conv2D) (None, 12, 16, 128) 221184 conv4_block47_0_relu[0][0]
__________________________________________________________________________________________________
conv4_block47_1_bn (BatchNormal (None, 12, 16, 128) 512 conv4_block47_1_conv[0][0]
__________________________________________________________________________________________________
conv4_block47_1_relu (Activatio (None, 12, 16, 128) 0 conv4_block47_1_bn[0][0]
__________________________________________________________________________________________________
conv4_block47_2_conv (Conv2D) (None, 12, 16, 32) 36864 conv4_block47_1_relu[0][0]
__________________________________________________________________________________________________
conv4_block47_concat (Concatena (None, 12, 16, 1760) 0 conv4_block46_concat[0][0]
conv4_block47_2_conv[0][0]
__________________________________________________________________________________________________
conv4_block48_0_bn (BatchNormal (None, 12, 16, 1760) 7040 conv4_block47_concat[0][0]
__________________________________________________________________________________________________
conv4_block48_0_relu (Activatio (None, 12, 16, 1760) 0 conv4_block48_0_bn[0][0]
__________________________________________________________________________________________________
conv4_block48_1_conv (Conv2D) (None, 12, 16, 128) 225280 conv4_block48_0_relu[0][0]
__________________________________________________________________________________________________
conv4_block48_1_bn (BatchNormal (None, 12, 16, 128) 512 conv4_block48_1_conv[0][0]
__________________________________________________________________________________________________
conv4_block48_1_relu (Activatio (None, 12, 16, 128) 0 conv4_block48_1_bn[0][0]
__________________________________________________________________________________________________
conv4_block48_2_conv (Conv2D) (None, 12, 16, 32) 36864 conv4_block48_1_relu[0][0]
__________________________________________________________________________________________________
conv4_block48_concat (Concatena (None, 12, 16, 1792) 0 conv4_block47_concat[0][0]
conv4_block48_2_conv[0][0]
__________________________________________________________________________________________________
pool4_bn (BatchNormalization) (None, 12, 16, 1792) 7168 conv4_block48_concat[0][0]
__________________________________________________________________________________________________
pool4_relu (Activation) (None, 12, 16, 1792) 0 pool4_bn[0][0]
__________________________________________________________________________________________________
pool4_conv (Conv2D) (None, 12, 16, 896) 1605632 pool4_relu[0][0]
__________________________________________________________________________________________________
pool4_pool (AveragePooling2D) (None, 6, 8, 896) 0 pool4_conv[0][0]
__________________________________________________________________________________________________
conv5_block1_0_bn (BatchNormali (None, 6, 8, 896) 3584 pool4_pool[0][0]
__________________________________________________________________________________________________
conv5_block1_0_relu (Activation (None, 6, 8, 896) 0 conv5_block1_0_bn[0][0]
__________________________________________________________________________________________________
conv5_block1_1_conv (Conv2D) (None, 6, 8, 128) 114688 conv5_block1_0_relu[0][0]
__________________________________________________________________________________________________
conv5_block1_1_bn (BatchNormali (None, 6, 8, 128) 512 conv5_block1_1_conv[0][0]
__________________________________________________________________________________________________
conv5_block1_1_relu (Activation (None, 6, 8, 128) 0 conv5_block1_1_bn[0][0]
__________________________________________________________________________________________________
conv5_block1_2_conv (Conv2D) (None, 6, 8, 32) 36864 conv5_block1_1_relu[0][0]
__________________________________________________________________________________________________
conv5_block1_concat (Concatenat (None, 6, 8, 928) 0 pool4_pool[0][0]
conv5_block1_2_conv[0][0]
__________________________________________________________________________________________________
conv5_block2_0_bn (BatchNormali (None, 6, 8, 928) 3712 conv5_block1_concat[0][0]
__________________________________________________________________________________________________
conv5_block2_0_relu (Activation (None, 6, 8, 928) 0 conv5_block2_0_bn[0][0]
__________________________________________________________________________________________________
conv5_block2_1_conv (Conv2D) (None, 6, 8, 128) 118784 conv5_block2_0_relu[0][0]
__________________________________________________________________________________________________
conv5_block2_1_bn (BatchNormali (None, 6, 8, 128) 512 conv5_block2_1_conv[0][0]
__________________________________________________________________________________________________
conv5_block2_1_relu (Activation (None, 6, 8, 128) 0 conv5_block2_1_bn[0][0]
__________________________________________________________________________________________________
conv5_block2_2_conv (Conv2D) (None, 6, 8, 32) 36864 conv5_block2_1_relu[0][0]
__________________________________________________________________________________________________
conv5_block2_concat (Concatenat (None, 6, 8, 960) 0 conv5_block1_concat[0][0]
conv5_block2_2_conv[0][0]
__________________________________________________________________________________________________
conv5_block3_0_bn (BatchNormali (None, 6, 8, 960) 3840 conv5_block2_concat[0][0]
__________________________________________________________________________________________________
conv5_block3_0_relu (Activation (None, 6, 8, 960) 0 conv5_block3_0_bn[0][0]
__________________________________________________________________________________________________
conv5_block3_1_conv (Conv2D) (None, 6, 8, 128) 122880 conv5_block3_0_relu[0][0]
__________________________________________________________________________________________________
conv5_block3_1_bn (BatchNormali (None, 6, 8, 128) 512 conv5_block3_1_conv[0][0]
__________________________________________________________________________________________________
conv5_block3_1_relu (Activation (None, 6, 8, 128) 0 conv5_block3_1_bn[0][0]
__________________________________________________________________________________________________
conv5_block3_2_conv (Conv2D) (None, 6, 8, 32) 36864 conv5_block3_1_relu[0][0]
__________________________________________________________________________________________________
conv5_block3_concat (Concatenat (None, 6, 8, 992) 0 conv5_block2_concat[0][0]
conv5_block3_2_conv[0][0]
__________________________________________________________________________________________________
conv5_block4_0_bn (BatchNormali (None, 6, 8, 992) 3968 conv5_block3_concat[0][0]
__________________________________________________________________________________________________
conv5_block4_0_relu (Activation (None, 6, 8, 992) 0 conv5_block4_0_bn[0][0]
__________________________________________________________________________________________________
conv5_block4_1_conv (Conv2D) (None, 6, 8, 128) 126976 conv5_block4_0_relu[0][0]
__________________________________________________________________________________________________
conv5_block4_1_bn (BatchNormali (None, 6, 8, 128) 512 conv5_block4_1_conv[0][0]
__________________________________________________________________________________________________
conv5_block4_1_relu (Activation (None, 6, 8, 128) 0 conv5_block4_1_bn[0][0]
__________________________________________________________________________________________________
conv5_block4_2_conv (Conv2D) (None, 6, 8, 32) 36864 conv5_block4_1_relu[0][0]
__________________________________________________________________________________________________
conv5_block4_concat (Concatenat (None, 6, 8, 1024) 0 conv5_block3_concat[0][0]
conv5_block4_2_conv[0][0]
__________________________________________________________________________________________________
conv5_block5_0_bn (BatchNormali (None, 6, 8, 1024) 4096 conv5_block4_concat[0][0]
__________________________________________________________________________________________________
conv5_block5_0_relu (Activation (None, 6, 8, 1024) 0 conv5_block5_0_bn[0][0]
__________________________________________________________________________________________________
conv5_block5_1_conv (Conv2D) (None, 6, 8, 128) 131072 conv5_block5_0_relu[0][0]
__________________________________________________________________________________________________
conv5_block5_1_bn (BatchNormali (None, 6, 8, 128) 512 conv5_block5_1_conv[0][0]
__________________________________________________________________________________________________
conv5_block5_1_relu (Activation (None, 6, 8, 128) 0 conv5_block5_1_bn[0][0]
__________________________________________________________________________________________________
conv5_block5_2_conv (Conv2D) (None, 6, 8, 32) 36864 conv5_block5_1_relu[0][0]
__________________________________________________________________________________________________
conv5_block5_concat (Concatenat (None, 6, 8, 1056) 0 conv5_block4_concat[0][0]
conv5_block5_2_conv[0][0]
__________________________________________________________________________________________________
conv5_block6_0_bn (BatchNormali (None, 6, 8, 1056) 4224 conv5_block5_concat[0][0]
__________________________________________________________________________________________________
conv5_block6_0_relu (Activation (None, 6, 8, 1056) 0 conv5_block6_0_bn[0][0]
__________________________________________________________________________________________________
conv5_block6_1_conv (Conv2D) (None, 6, 8, 128) 135168 conv5_block6_0_relu[0][0]
__________________________________________________________________________________________________
conv5_block6_1_bn (BatchNormali (None, 6, 8, 128) 512 conv5_block6_1_conv[0][0]
__________________________________________________________________________________________________
conv5_block6_1_relu (Activation (None, 6, 8, 128) 0 conv5_block6_1_bn[0][0]
__________________________________________________________________________________________________
conv5_block6_2_conv (Conv2D) (None, 6, 8, 32) 36864 conv5_block6_1_relu[0][0]
__________________________________________________________________________________________________
conv5_block6_concat (Concatenat (None, 6, 8, 1088) 0 conv5_block5_concat[0][0]
conv5_block6_2_conv[0][0]
__________________________________________________________________________________________________
conv5_block7_0_bn (BatchNormali (None, 6, 8, 1088) 4352 conv5_block6_concat[0][0]
__________________________________________________________________________________________________
conv5_block7_0_relu (Activation (None, 6, 8, 1088) 0 conv5_block7_0_bn[0][0]
__________________________________________________________________________________________________
conv5_block7_1_conv (Conv2D) (None, 6, 8, 128) 139264 conv5_block7_0_relu[0][0]
__________________________________________________________________________________________________
conv5_block7_1_bn (BatchNormali (None, 6, 8, 128) 512 conv5_block7_1_conv[0][0]
__________________________________________________________________________________________________
conv5_block7_1_relu (Activation (None, 6, 8, 128) 0 conv5_block7_1_bn[0][0]
__________________________________________________________________________________________________
conv5_block7_2_conv (Conv2D) (None, 6, 8, 32) 36864 conv5_block7_1_relu[0][0]
__________________________________________________________________________________________________
conv5_block7_concat (Concatenat (None, 6, 8, 1120) 0 conv5_block6_concat[0][0]
conv5_block7_2_conv[0][0]
__________________________________________________________________________________________________
conv5_block8_0_bn (BatchNormali (None, 6, 8, 1120) 4480 conv5_block7_concat[0][0]
__________________________________________________________________________________________________
conv5_block8_0_relu (Activation (None, 6, 8, 1120) 0 conv5_block8_0_bn[0][0]
__________________________________________________________________________________________________
conv5_block8_1_conv (Conv2D) (None, 6, 8, 128) 143360 conv5_block8_0_relu[0][0]
__________________________________________________________________________________________________
conv5_block8_1_bn (BatchNormali (None, 6, 8, 128) 512 conv5_block8_1_conv[0][0]
__________________________________________________________________________________________________
conv5_block8_1_relu (Activation (None, 6, 8, 128) 0 conv5_block8_1_bn[0][0]
__________________________________________________________________________________________________
conv5_block8_2_conv (Conv2D) (None, 6, 8, 32) 36864 conv5_block8_1_relu[0][0]
__________________________________________________________________________________________________
conv5_block8_concat (Concatenat (None, 6, 8, 1152) 0 conv5_block7_concat[0][0]
conv5_block8_2_conv[0][0]
__________________________________________________________________________________________________
conv5_block9_0_bn (BatchNormali (None, 6, 8, 1152) 4608 conv5_block8_concat[0][0]
__________________________________________________________________________________________________
conv5_block9_0_relu (Activation (None, 6, 8, 1152) 0 conv5_block9_0_bn[0][0]
__________________________________________________________________________________________________
conv5_block9_1_conv (Conv2D) (None, 6, 8, 128) 147456 conv5_block9_0_relu[0][0]
__________________________________________________________________________________________________
conv5_block9_1_bn (BatchNormali (None, 6, 8, 128) 512 conv5_block9_1_conv[0][0]
__________________________________________________________________________________________________
conv5_block9_1_relu (Activation (None, 6, 8, 128) 0 conv5_block9_1_bn[0][0]
__________________________________________________________________________________________________
conv5_block9_2_conv (Conv2D) (None, 6, 8, 32) 36864 conv5_block9_1_relu[0][0]
__________________________________________________________________________________________________
conv5_block9_concat (Concatenat (None, 6, 8, 1184) 0 conv5_block8_concat[0][0]
conv5_block9_2_conv[0][0]
__________________________________________________________________________________________________
conv5_block10_0_bn (BatchNormal (None, 6, 8, 1184) 4736 conv5_block9_concat[0][0]
__________________________________________________________________________________________________
conv5_block10_0_relu (Activatio (None, 6, 8, 1184) 0 conv5_block10_0_bn[0][0]
__________________________________________________________________________________________________
conv5_block10_1_conv (Conv2D) (None, 6, 8, 128) 151552 conv5_block10_0_relu[0][0]
__________________________________________________________________________________________________
conv5_block10_1_bn (BatchNormal (None, 6, 8, 128) 512 conv5_block10_1_conv[0][0]
__________________________________________________________________________________________________
conv5_block10_1_relu (Activatio (None, 6, 8, 128) 0 conv5_block10_1_bn[0][0]
__________________________________________________________________________________________________
conv5_block10_2_conv (Conv2D) (None, 6, 8, 32) 36864 conv5_block10_1_relu[0][0]
__________________________________________________________________________________________________
conv5_block10_concat (Concatena (None, 6, 8, 1216) 0 conv5_block9_concat[0][0]
conv5_block10_2_conv[0][0]
__________________________________________________________________________________________________
conv5_block11_0_bn (BatchNormal (None, 6, 8, 1216) 4864 conv5_block10_concat[0][0]
__________________________________________________________________________________________________
conv5_block11_0_relu (Activatio (None, 6, 8, 1216) 0 conv5_block11_0_bn[0][0]
__________________________________________________________________________________________________
conv5_block11_1_conv (Conv2D) (None, 6, 8, 128) 155648 conv5_block11_0_relu[0][0]
__________________________________________________________________________________________________
conv5_block11_1_bn (BatchNormal (None, 6, 8, 128) 512 conv5_block11_1_conv[0][0]
__________________________________________________________________________________________________
conv5_block11_1_relu (Activatio (None, 6, 8, 128) 0 conv5_block11_1_bn[0][0]
__________________________________________________________________________________________________
conv5_block11_2_conv (Conv2D) (None, 6, 8, 32) 36864 conv5_block11_1_relu[0][0]
__________________________________________________________________________________________________
conv5_block11_concat (Concatena (None, 6, 8, 1248) 0 conv5_block10_concat[0][0]
conv5_block11_2_conv[0][0]
__________________________________________________________________________________________________
conv5_block12_0_bn (BatchNormal (None, 6, 8, 1248) 4992 conv5_block11_concat[0][0]
__________________________________________________________________________________________________
conv5_block12_0_relu (Activatio (None, 6, 8, 1248) 0 conv5_block12_0_bn[0][0]
__________________________________________________________________________________________________
conv5_block12_1_conv (Conv2D) (None, 6, 8, 128) 159744 conv5_block12_0_relu[0][0]
__________________________________________________________________________________________________
conv5_block12_1_bn (BatchNormal (None, 6, 8, 128) 512 conv5_block12_1_conv[0][0]
__________________________________________________________________________________________________
conv5_block12_1_relu (Activatio (None, 6, 8, 128) 0 conv5_block12_1_bn[0][0]
__________________________________________________________________________________________________
conv5_block12_2_conv (Conv2D) (None, 6, 8, 32) 36864 conv5_block12_1_relu[0][0]
__________________________________________________________________________________________________
conv5_block12_concat (Concatena (None, 6, 8, 1280) 0 conv5_block11_concat[0][0]
conv5_block12_2_conv[0][0]
__________________________________________________________________________________________________
conv5_block13_0_bn (BatchNormal (None, 6, 8, 1280) 5120 conv5_block12_concat[0][0]
__________________________________________________________________________________________________
conv5_block13_0_relu (Activatio (None, 6, 8, 1280) 0 conv5_block13_0_bn[0][0]
__________________________________________________________________________________________________
conv5_block13_1_conv (Conv2D) (None, 6, 8, 128) 163840 conv5_block13_0_relu[0][0]
__________________________________________________________________________________________________
conv5_block13_1_bn (BatchNormal (None, 6, 8, 128) 512 conv5_block13_1_conv[0][0]
__________________________________________________________________________________________________
conv5_block13_1_relu (Activatio (None, 6, 8, 128) 0 conv5_block13_1_bn[0][0]
__________________________________________________________________________________________________
conv5_block13_2_conv (Conv2D) (None, 6, 8, 32) 36864 conv5_block13_1_relu[0][0]
__________________________________________________________________________________________________
conv5_block13_concat (Concatena (None, 6, 8, 1312) 0 conv5_block12_concat[0][0]
conv5_block13_2_conv[0][0]
__________________________________________________________________________________________________
conv5_block14_0_bn (BatchNormal (None, 6, 8, 1312) 5248 conv5_block13_concat[0][0]
__________________________________________________________________________________________________
conv5_block14_0_relu (Activatio (None, 6, 8, 1312) 0 conv5_block14_0_bn[0][0]
__________________________________________________________________________________________________
conv5_block14_1_conv (Conv2D) (None, 6, 8, 128) 167936 conv5_block14_0_relu[0][0]
__________________________________________________________________________________________________
conv5_block14_1_bn (BatchNormal (None, 6, 8, 128) 512 conv5_block14_1_conv[0][0]
__________________________________________________________________________________________________
conv5_block14_1_relu (Activatio (None, 6, 8, 128) 0 conv5_block14_1_bn[0][0]
__________________________________________________________________________________________________
conv5_block14_2_conv (Conv2D) (None, 6, 8, 32) 36864 conv5_block14_1_relu[0][0]
__________________________________________________________________________________________________
conv5_block14_concat (Concatena (None, 6, 8, 1344) 0 conv5_block13_concat[0][0]
conv5_block14_2_conv[0][0]
__________________________________________________________________________________________________
conv5_block15_0_bn (BatchNormal (None, 6, 8, 1344) 5376 conv5_block14_concat[0][0]
__________________________________________________________________________________________________
conv5_block15_0_relu (Activatio (None, 6, 8, 1344) 0 conv5_block15_0_bn[0][0]
__________________________________________________________________________________________________
conv5_block15_1_conv (Conv2D) (None, 6, 8, 128) 172032 conv5_block15_0_relu[0][0]
__________________________________________________________________________________________________
conv5_block15_1_bn (BatchNormal (None, 6, 8, 128) 512 conv5_block15_1_conv[0][0]
__________________________________________________________________________________________________
conv5_block15_1_relu (Activatio (None, 6, 8, 128) 0 conv5_block15_1_bn[0][0]
__________________________________________________________________________________________________
conv5_block15_2_conv (Conv2D) (None, 6, 8, 32) 36864 conv5_block15_1_relu[0][0]
__________________________________________________________________________________________________
conv5_block15_concat (Concatena (None, 6, 8, 1376) 0 conv5_block14_concat[0][0]
conv5_block15_2_conv[0][0]
__________________________________________________________________________________________________
conv5_block16_0_bn (BatchNormal (None, 6, 8, 1376) 5504 conv5_block15_concat[0][0]
__________________________________________________________________________________________________
conv5_block16_0_relu (Activatio (None, 6, 8, 1376) 0 conv5_block16_0_bn[0][0]
__________________________________________________________________________________________________
conv5_block16_1_conv (Conv2D) (None, 6, 8, 128) 176128 conv5_block16_0_relu[0][0]
__________________________________________________________________________________________________
conv5_block16_1_bn (BatchNormal (None, 6, 8, 128) 512 conv5_block16_1_conv[0][0]
__________________________________________________________________________________________________
conv5_block16_1_relu (Activatio (None, 6, 8, 128) 0 conv5_block16_1_bn[0][0]
__________________________________________________________________________________________________
conv5_block16_2_conv (Conv2D) (None, 6, 8, 32) 36864 conv5_block16_1_relu[0][0]
__________________________________________________________________________________________________
conv5_block16_concat (Concatena (None, 6, 8, 1408) 0 conv5_block15_concat[0][0]
conv5_block16_2_conv[0][0]
__________________________________________________________________________________________________
conv5_block17_0_bn (BatchNormal (None, 6, 8, 1408) 5632 conv5_block16_concat[0][0]
__________________________________________________________________________________________________
conv5_block17_0_relu (Activatio (None, 6, 8, 1408) 0 conv5_block17_0_bn[0][0]
__________________________________________________________________________________________________
conv5_block17_1_conv (Conv2D) (None, 6, 8, 128) 180224 conv5_block17_0_relu[0][0]
__________________________________________________________________________________________________
conv5_block17_1_bn (BatchNormal (None, 6, 8, 128) 512 conv5_block17_1_conv[0][0]
__________________________________________________________________________________________________
conv5_block17_1_relu (Activatio (None, 6, 8, 128) 0 conv5_block17_1_bn[0][0]
__________________________________________________________________________________________________
conv5_block17_2_conv (Conv2D) (None, 6, 8, 32) 36864 conv5_block17_1_relu[0][0]
__________________________________________________________________________________________________
conv5_block17_concat (Concatena (None, 6, 8, 1440) 0 conv5_block16_concat[0][0]
conv5_block17_2_conv[0][0]
__________________________________________________________________________________________________
conv5_block18_0_bn (BatchNormal (None, 6, 8, 1440) 5760 conv5_block17_concat[0][0]
__________________________________________________________________________________________________
conv5_block18_0_relu (Activatio (None, 6, 8, 1440) 0 conv5_block18_0_bn[0][0]
__________________________________________________________________________________________________
conv5_block18_1_conv (Conv2D) (None, 6, 8, 128) 184320 conv5_block18_0_relu[0][0]
__________________________________________________________________________________________________
conv5_block18_1_bn (BatchNormal (None, 6, 8, 128) 512 conv5_block18_1_conv[0][0]
__________________________________________________________________________________________________
conv5_block18_1_relu (Activatio (None, 6, 8, 128) 0 conv5_block18_1_bn[0][0]
__________________________________________________________________________________________________
conv5_block18_2_conv (Conv2D) (None, 6, 8, 32) 36864 conv5_block18_1_relu[0][0]
__________________________________________________________________________________________________
conv5_block18_concat (Concatena (None, 6, 8, 1472) 0 conv5_block17_concat[0][0]
conv5_block18_2_conv[0][0]
__________________________________________________________________________________________________
conv5_block19_0_bn (BatchNormal (None, 6, 8, 1472) 5888 conv5_block18_concat[0][0]
__________________________________________________________________________________________________
conv5_block19_0_relu (Activatio (None, 6, 8, 1472) 0 conv5_block19_0_bn[0][0]
__________________________________________________________________________________________________
conv5_block19_1_conv (Conv2D) (None, 6, 8, 128) 188416 conv5_block19_0_relu[0][0]
__________________________________________________________________________________________________
conv5_block19_1_bn (BatchNormal (None, 6, 8, 128) 512 conv5_block19_1_conv[0][0]
__________________________________________________________________________________________________
conv5_block19_1_relu (Activatio (None, 6, 8, 128) 0 conv5_block19_1_bn[0][0]
__________________________________________________________________________________________________
conv5_block19_2_conv (Conv2D) (None, 6, 8, 32) 36864 conv5_block19_1_relu[0][0]
__________________________________________________________________________________________________
conv5_block19_concat (Concatena (None, 6, 8, 1504) 0 conv5_block18_concat[0][0]
conv5_block19_2_conv[0][0]
__________________________________________________________________________________________________
conv5_block20_0_bn (BatchNormal (None, 6, 8, 1504) 6016 conv5_block19_concat[0][0]
__________________________________________________________________________________________________
conv5_block20_0_relu (Activatio (None, 6, 8, 1504) 0 conv5_block20_0_bn[0][0]
__________________________________________________________________________________________________
conv5_block20_1_conv (Conv2D) (None, 6, 8, 128) 192512 conv5_block20_0_relu[0][0]
__________________________________________________________________________________________________
conv5_block20_1_bn (BatchNormal (None, 6, 8, 128) 512 conv5_block20_1_conv[0][0]
__________________________________________________________________________________________________
conv5_block20_1_relu (Activatio (None, 6, 8, 128) 0 conv5_block20_1_bn[0][0]
__________________________________________________________________________________________________
conv5_block20_2_conv (Conv2D) (None, 6, 8, 32) 36864 conv5_block20_1_relu[0][0]
__________________________________________________________________________________________________
conv5_block20_concat (Concatena (None, 6, 8, 1536) 0 conv5_block19_concat[0][0]
conv5_block20_2_conv[0][0]
__________________________________________________________________________________________________
conv5_block21_0_bn (BatchNormal (None, 6, 8, 1536) 6144 conv5_block20_concat[0][0]
__________________________________________________________________________________________________
conv5_block21_0_relu (Activatio (None, 6, 8, 1536) 0 conv5_block21_0_bn[0][0]
__________________________________________________________________________________________________
conv5_block21_1_conv (Conv2D) (None, 6, 8, 128) 196608 conv5_block21_0_relu[0][0]
__________________________________________________________________________________________________
conv5_block21_1_bn (BatchNormal (None, 6, 8, 128) 512 conv5_block21_1_conv[0][0]
__________________________________________________________________________________________________
conv5_block21_1_relu (Activatio (None, 6, 8, 128) 0 conv5_block21_1_bn[0][0]
__________________________________________________________________________________________________
conv5_block21_2_conv (Conv2D) (None, 6, 8, 32) 36864 conv5_block21_1_relu[0][0]
__________________________________________________________________________________________________
conv5_block21_concat (Concatena (None, 6, 8, 1568) 0 conv5_block20_concat[0][0]
conv5_block21_2_conv[0][0]
__________________________________________________________________________________________________
conv5_block22_0_bn (BatchNormal (None, 6, 8, 1568) 6272 conv5_block21_concat[0][0]
__________________________________________________________________________________________________
conv5_block22_0_relu (Activatio (None, 6, 8, 1568) 0 conv5_block22_0_bn[0][0]
__________________________________________________________________________________________________
conv5_block22_1_conv (Conv2D) (None, 6, 8, 128) 200704 conv5_block22_0_relu[0][0]
__________________________________________________________________________________________________
conv5_block22_1_bn (BatchNormal (None, 6, 8, 128) 512 conv5_block22_1_conv[0][0]
__________________________________________________________________________________________________
conv5_block22_1_relu (Activatio (None, 6, 8, 128) 0 conv5_block22_1_bn[0][0]
__________________________________________________________________________________________________
conv5_block22_2_conv (Conv2D) (None, 6, 8, 32) 36864 conv5_block22_1_relu[0][0]
__________________________________________________________________________________________________
conv5_block22_concat (Concatena (None, 6, 8, 1600) 0 conv5_block21_concat[0][0]
conv5_block22_2_conv[0][0]
__________________________________________________________________________________________________
conv5_block23_0_bn (BatchNormal (None, 6, 8, 1600) 6400 conv5_block22_concat[0][0]
__________________________________________________________________________________________________
conv5_block23_0_relu (Activatio (None, 6, 8, 1600) 0 conv5_block23_0_bn[0][0]
__________________________________________________________________________________________________
conv5_block23_1_conv (Conv2D) (None, 6, 8, 128) 204800 conv5_block23_0_relu[0][0]
__________________________________________________________________________________________________
conv5_block23_1_bn (BatchNormal (None, 6, 8, 128) 512 conv5_block23_1_conv[0][0]
__________________________________________________________________________________________________
conv5_block23_1_relu (Activatio (None, 6, 8, 128) 0 conv5_block23_1_bn[0][0]
__________________________________________________________________________________________________
conv5_block23_2_conv (Conv2D) (None, 6, 8, 32) 36864 conv5_block23_1_relu[0][0]
__________________________________________________________________________________________________
conv5_block23_concat (Concatena (None, 6, 8, 1632) 0 conv5_block22_concat[0][0]
conv5_block23_2_conv[0][0]
__________________________________________________________________________________________________
conv5_block24_0_bn (BatchNormal (None, 6, 8, 1632) 6528 conv5_block23_concat[0][0]
__________________________________________________________________________________________________
conv5_block24_0_relu (Activatio (None, 6, 8, 1632) 0 conv5_block24_0_bn[0][0]
__________________________________________________________________________________________________
conv5_block24_1_conv (Conv2D) (None, 6, 8, 128) 208896 conv5_block24_0_relu[0][0]
__________________________________________________________________________________________________
conv5_block24_1_bn (BatchNormal (None, 6, 8, 128) 512 conv5_block24_1_conv[0][0]
__________________________________________________________________________________________________
conv5_block24_1_relu (Activatio (None, 6, 8, 128) 0 conv5_block24_1_bn[0][0]
__________________________________________________________________________________________________
conv5_block24_2_conv (Conv2D) (None, 6, 8, 32) 36864 conv5_block24_1_relu[0][0]
__________________________________________________________________________________________________
conv5_block24_concat (Concatena (None, 6, 8, 1664) 0 conv5_block23_concat[0][0]
conv5_block24_2_conv[0][0]
__________________________________________________________________________________________________
conv5_block25_0_bn (BatchNormal (None, 6, 8, 1664) 6656 conv5_block24_concat[0][0]
__________________________________________________________________________________________________
conv5_block25_0_relu (Activatio (None, 6, 8, 1664) 0 conv5_block25_0_bn[0][0]
__________________________________________________________________________________________________
conv5_block25_1_conv (Conv2D) (None, 6, 8, 128) 212992 conv5_block25_0_relu[0][0]
__________________________________________________________________________________________________
conv5_block25_1_bn (BatchNormal (None, 6, 8, 128) 512 conv5_block25_1_conv[0][0]
__________________________________________________________________________________________________
conv5_block25_1_relu (Activatio (None, 6, 8, 128) 0 conv5_block25_1_bn[0][0]
__________________________________________________________________________________________________
conv5_block25_2_conv (Conv2D) (None, 6, 8, 32) 36864 conv5_block25_1_relu[0][0]
__________________________________________________________________________________________________
conv5_block25_concat (Concatena (None, 6, 8, 1696) 0 conv5_block24_concat[0][0]
conv5_block25_2_conv[0][0]
__________________________________________________________________________________________________
conv5_block26_0_bn (BatchNormal (None, 6, 8, 1696) 6784 conv5_block25_concat[0][0]
__________________________________________________________________________________________________
conv5_block26_0_relu (Activatio (None, 6, 8, 1696) 0 conv5_block26_0_bn[0][0]
__________________________________________________________________________________________________
conv5_block26_1_conv (Conv2D) (None, 6, 8, 128) 217088 conv5_block26_0_relu[0][0]
__________________________________________________________________________________________________
conv5_block26_1_bn (BatchNormal (None, 6, 8, 128) 512 conv5_block26_1_conv[0][0]
__________________________________________________________________________________________________
conv5_block26_1_relu (Activatio (None, 6, 8, 128) 0 conv5_block26_1_bn[0][0]
__________________________________________________________________________________________________
conv5_block26_2_conv (Conv2D) (None, 6, 8, 32) 36864 conv5_block26_1_relu[0][0]
__________________________________________________________________________________________________
conv5_block26_concat (Concatena (None, 6, 8, 1728) 0 conv5_block25_concat[0][0]
conv5_block26_2_conv[0][0]
__________________________________________________________________________________________________
conv5_block27_0_bn (BatchNormal (None, 6, 8, 1728) 6912 conv5_block26_concat[0][0]
__________________________________________________________________________________________________
conv5_block27_0_relu (Activatio (None, 6, 8, 1728) 0 conv5_block27_0_bn[0][0]
__________________________________________________________________________________________________
conv5_block27_1_conv (Conv2D) (None, 6, 8, 128) 221184 conv5_block27_0_relu[0][0]
__________________________________________________________________________________________________
conv5_block27_1_bn (BatchNormal (None, 6, 8, 128) 512 conv5_block27_1_conv[0][0]
__________________________________________________________________________________________________
conv5_block27_1_relu (Activatio (None, 6, 8, 128) 0 conv5_block27_1_bn[0][0]
__________________________________________________________________________________________________
conv5_block27_2_conv (Conv2D) (None, 6, 8, 32) 36864 conv5_block27_1_relu[0][0]
__________________________________________________________________________________________________
conv5_block27_concat (Concatena (None, 6, 8, 1760) 0 conv5_block26_concat[0][0]
conv5_block27_2_conv[0][0]
__________________________________________________________________________________________________
conv5_block28_0_bn (BatchNormal (None, 6, 8, 1760) 7040 conv5_block27_concat[0][0]
__________________________________________________________________________________________________
conv5_block28_0_relu (Activatio (None, 6, 8, 1760) 0 conv5_block28_0_bn[0][0]
__________________________________________________________________________________________________
conv5_block28_1_conv (Conv2D) (None, 6, 8, 128) 225280 conv5_block28_0_relu[0][0]
__________________________________________________________________________________________________
conv5_block28_1_bn (BatchNormal (None, 6, 8, 128) 512 conv5_block28_1_conv[0][0]
__________________________________________________________________________________________________
conv5_block28_1_relu (Activatio (None, 6, 8, 128) 0 conv5_block28_1_bn[0][0]
__________________________________________________________________________________________________
conv5_block28_2_conv (Conv2D) (None, 6, 8, 32) 36864 conv5_block28_1_relu[0][0]
__________________________________________________________________________________________________
conv5_block28_concat (Concatena (None, 6, 8, 1792) 0 conv5_block27_concat[0][0]
conv5_block28_2_conv[0][0]
__________________________________________________________________________________________________
conv5_block29_0_bn (BatchNormal (None, 6, 8, 1792) 7168 conv5_block28_concat[0][0]
__________________________________________________________________________________________________
conv5_block29_0_relu (Activatio (None, 6, 8, 1792) 0 conv5_block29_0_bn[0][0]
__________________________________________________________________________________________________
conv5_block29_1_conv (Conv2D) (None, 6, 8, 128) 229376 conv5_block29_0_relu[0][0]
__________________________________________________________________________________________________
conv5_block29_1_bn (BatchNormal (None, 6, 8, 128) 512 conv5_block29_1_conv[0][0]
__________________________________________________________________________________________________
conv5_block29_1_relu (Activatio (None, 6, 8, 128) 0 conv5_block29_1_bn[0][0]
__________________________________________________________________________________________________
conv5_block29_2_conv (Conv2D) (None, 6, 8, 32) 36864 conv5_block29_1_relu[0][0]
__________________________________________________________________________________________________
conv5_block29_concat (Concatena (None, 6, 8, 1824) 0 conv5_block28_concat[0][0]
conv5_block29_2_conv[0][0]
__________________________________________________________________________________________________
conv5_block30_0_bn (BatchNormal (None, 6, 8, 1824) 7296 conv5_block29_concat[0][0]
__________________________________________________________________________________________________
conv5_block30_0_relu (Activatio (None, 6, 8, 1824) 0 conv5_block30_0_bn[0][0]
__________________________________________________________________________________________________
conv5_block30_1_conv (Conv2D) (None, 6, 8, 128) 233472 conv5_block30_0_relu[0][0]
__________________________________________________________________________________________________
conv5_block30_1_bn (BatchNormal (None, 6, 8, 128) 512 conv5_block30_1_conv[0][0]
__________________________________________________________________________________________________
conv5_block30_1_relu (Activatio (None, 6, 8, 128) 0 conv5_block30_1_bn[0][0]
__________________________________________________________________________________________________
conv5_block30_2_conv (Conv2D) (None, 6, 8, 32) 36864 conv5_block30_1_relu[0][0]
__________________________________________________________________________________________________
conv5_block30_concat (Concatena (None, 6, 8, 1856) 0 conv5_block29_concat[0][0]
conv5_block30_2_conv[0][0]
__________________________________________________________________________________________________
conv5_block31_0_bn (BatchNormal (None, 6, 8, 1856) 7424 conv5_block30_concat[0][0]
__________________________________________________________________________________________________
conv5_block31_0_relu (Activatio (None, 6, 8, 1856) 0 conv5_block31_0_bn[0][0]
__________________________________________________________________________________________________
conv5_block31_1_conv (Conv2D) (None, 6, 8, 128) 237568 conv5_block31_0_relu[0][0]
__________________________________________________________________________________________________
conv5_block31_1_bn (BatchNormal (None, 6, 8, 128) 512 conv5_block31_1_conv[0][0]
__________________________________________________________________________________________________
conv5_block31_1_relu (Activatio (None, 6, 8, 128) 0 conv5_block31_1_bn[0][0]
__________________________________________________________________________________________________
conv5_block31_2_conv (Conv2D) (None, 6, 8, 32) 36864 conv5_block31_1_relu[0][0]
__________________________________________________________________________________________________
conv5_block31_concat (Concatena (None, 6, 8, 1888) 0 conv5_block30_concat[0][0]
conv5_block31_2_conv[0][0]
__________________________________________________________________________________________________
conv5_block32_0_bn (BatchNormal (None, 6, 8, 1888) 7552 conv5_block31_concat[0][0]
__________________________________________________________________________________________________
conv5_block32_0_relu (Activatio (None, 6, 8, 1888) 0 conv5_block32_0_bn[0][0]
__________________________________________________________________________________________________
conv5_block32_1_conv (Conv2D) (None, 6, 8, 128) 241664 conv5_block32_0_relu[0][0]
__________________________________________________________________________________________________
conv5_block32_1_bn (BatchNormal (None, 6, 8, 128) 512 conv5_block32_1_conv[0][0]
__________________________________________________________________________________________________
conv5_block32_1_relu (Activatio (None, 6, 8, 128) 0 conv5_block32_1_bn[0][0]
__________________________________________________________________________________________________
conv5_block32_2_conv (Conv2D) (None, 6, 8, 32) 36864 conv5_block32_1_relu[0][0]
__________________________________________________________________________________________________
conv5_block32_concat (Concatena (None, 6, 8, 1920) 0 conv5_block31_concat[0][0]
conv5_block32_2_conv[0][0]
__________________________________________________________________________________________________
bn (BatchNormalization) (None, 6, 8, 1920) 7680 conv5_block32_concat[0][0]
__________________________________________________________________________________________________
relu (Activation) (None, 6, 8, 1920) 0 bn[0][0]
__________________________________________________________________________________________________
global_max_pooling2d_1 (GlobalM (None, 1920) 0 relu[0][0]
__________________________________________________________________________________________________
dense_1 (Dense) (None, 512) 983552 global_max_pooling2d_1[0][0]
__________________________________________________________________________________________________
dropout_1 (Dropout) (None, 512) 0 dense_1[0][0]
__________________________________________________________________________________________________
dense_2 (Dense) (None, 7) 3591 dropout_1[0][0]
==================================================================================================
Total params: 19,309,127
Trainable params: 8,097,479
Non-trainable params: 11,211,648
__________________________________________________________________________________________________
In [26]:
batch_size = 32
epochs = 30
history = model.fit_generator(train_datagen.flow(X_train,y_train, batch_size=batch_size),
epochs = epochs, validation_data = val_datagen.flow(X_val, y_val),
verbose = 1, steps_per_epoch=(X_train.shape[0] // batch_size),
validation_steps=(X_val.shape[0] // batch_size),
callbacks=[learning_rate_reduction])
Epoch 1/30 253/253 [==============================] - 328s 1s/step - loss: 0.7237 - acc: 0.7395 - val_loss: 0.6772 - val_acc: 0.7623 Epoch 2/30 253/253 [==============================] - 280s 1s/step - loss: 0.5748 - acc: 0.7873 - val_loss: 0.5687 - val_acc: 0.7885 Epoch 3/30 253/253 [==============================] - 280s 1s/step - loss: 0.5039 - acc: 0.8120 - val_loss: 0.5168 - val_acc: 0.8080 Epoch 4/30 253/253 [==============================] - 280s 1s/step - loss: 0.4487 - acc: 0.8368 - val_loss: 0.5194 - val_acc: 0.8046 Epoch 5/30 253/253 [==============================] - 279s 1s/step - loss: 0.3969 - acc: 0.8509 - val_loss: 0.5015 - val_acc: 0.8253 Epoch 6/30 253/253 [==============================] - 280s 1s/step - loss: 0.3439 - acc: 0.8724 - val_loss: 0.4894 - val_acc: 0.8172 Epoch 7/30 253/253 [==============================] - 280s 1s/step - loss: 0.3214 - acc: 0.8832 - val_loss: 0.5225 - val_acc: 0.8195 Epoch 8/30 253/253 [==============================] - 280s 1s/step - loss: 0.2881 - acc: 0.8914 - val_loss: 0.6891 - val_acc: 0.7966 Epoch 00008: ReduceLROnPlateau reducing learning rate to 4.999999873689376e-05. Epoch 9/30 253/253 [==============================] - 279s 1s/step - loss: 0.2369 - acc: 0.9119 - val_loss: 0.4729 - val_acc: 0.8368 Epoch 10/30 253/253 [==============================] - 280s 1s/step - loss: 0.2131 - acc: 0.9218 - val_loss: 0.4397 - val_acc: 0.8494 Epoch 11/30 253/253 [==============================] - 280s 1s/step - loss: 0.1865 - acc: 0.9325 - val_loss: 0.5122 - val_acc: 0.8471 Epoch 12/30 253/253 [==============================] - 280s 1s/step - loss: 0.1655 - acc: 0.9376 - val_loss: 0.5049 - val_acc: 0.8425 Epoch 13/30 253/253 [==============================] - 280s 1s/step - loss: 0.1573 - acc: 0.9412 - val_loss: 0.5194 - val_acc: 0.8494 Epoch 00013: ReduceLROnPlateau reducing learning rate to 2.499999936844688e-05. Epoch 14/30 253/253 [==============================] - 280s 1s/step - loss: 0.1322 - acc: 0.9529 - val_loss: 0.5642 - val_acc: 0.8299 Epoch 15/30 253/253 [==============================] - 280s 1s/step - loss: 0.1200 - acc: 0.9570 - val_loss: 0.5110 - val_acc: 0.8621 Epoch 16/30 253/253 [==============================] - 280s 1s/step - loss: 0.1200 - acc: 0.9581 - val_loss: 0.4942 - val_acc: 0.8540 Epoch 17/30 253/253 [==============================] - 280s 1s/step - loss: 0.0996 - acc: 0.9649 - val_loss: 0.5093 - val_acc: 0.8540 Epoch 18/30 253/253 [==============================] - 280s 1s/step - loss: 0.0934 - acc: 0.9670 - val_loss: 0.6008 - val_acc: 0.8333 Epoch 00018: ReduceLROnPlateau reducing learning rate to 1.249999968422344e-05. Epoch 19/30 253/253 [==============================] - 279s 1s/step - loss: 0.0919 - acc: 0.9669 - val_loss: 0.5051 - val_acc: 0.8598 Epoch 20/30 253/253 [==============================] - 279s 1s/step - loss: 0.0847 - acc: 0.9692 - val_loss: 0.5231 - val_acc: 0.8655 Epoch 21/30 253/253 [==============================] - 279s 1s/step - loss: 0.0733 - acc: 0.9726 - val_loss: 0.6077 - val_acc: 0.8471 Epoch 22/30 253/253 [==============================] - 279s 1s/step - loss: 0.0694 - acc: 0.9747 - val_loss: 0.6306 - val_acc: 0.8448 Epoch 23/30 253/253 [==============================] - 279s 1s/step - loss: 0.0745 - acc: 0.9739 - val_loss: 0.5448 - val_acc: 0.8483 Epoch 00023: ReduceLROnPlateau reducing learning rate to 6.24999984211172e-06. Epoch 24/30 253/253 [==============================] - 279s 1s/step - loss: 0.0675 - acc: 0.9780 - val_loss: 0.5504 - val_acc: 0.8621 Epoch 25/30 253/253 [==============================] - 279s 1s/step - loss: 0.0644 - acc: 0.9769 - val_loss: 0.5786 - val_acc: 0.8425 Epoch 26/30 253/253 [==============================] - 279s 1s/step - loss: 0.0610 - acc: 0.9785 - val_loss: 0.6107 - val_acc: 0.8598 Epoch 27/30 253/253 [==============================] - 279s 1s/step - loss: 0.0580 - acc: 0.9800 - val_loss: 0.5791 - val_acc: 0.8586 Epoch 00027: ReduceLROnPlateau reducing learning rate to 3.12499992105586e-06. Epoch 28/30
--------------------------------------------------------------------------- KeyboardInterrupt Traceback (most recent call last) <ipython-input-26-42a1685c4ca4> in <module>() 5 verbose = 1, steps_per_epoch=(X_train.shape[0] // batch_size), 6 validation_steps=(X_val.shape[0] // batch_size), ----> 7 callbacks=[learning_rate_reduction]) /usr/local/lib/python3.6/site-packages/keras/legacy/interfaces.py in wrapper(*args, **kwargs) 89 warnings.warn('Update your `' + object_name + '` call to the ' + 90 'Keras 2 API: ' + signature, stacklevel=2) ---> 91 return func(*args, **kwargs) 92 wrapper._original_function = func 93 return wrapper /usr/local/lib/python3.6/site-packages/keras/engine/training.py in fit_generator(self, generator, steps_per_epoch, epochs, verbose, callbacks, validation_data, validation_steps, class_weight, max_queue_size, workers, use_multiprocessing, shuffle, initial_epoch) 1416 use_multiprocessing=use_multiprocessing, 1417 shuffle=shuffle, -> 1418 initial_epoch=initial_epoch) 1419 1420 @interfaces.legacy_generator_methods_support /usr/local/lib/python3.6/site-packages/keras/engine/training_generator.py in fit_generator(model, generator, steps_per_epoch, epochs, verbose, callbacks, validation_data, validation_steps, class_weight, max_queue_size, workers, use_multiprocessing, shuffle, initial_epoch) 215 outs = model.train_on_batch(x, y, 216 sample_weight=sample_weight, --> 217 class_weight=class_weight) 218 219 outs = to_list(outs) /usr/local/lib/python3.6/site-packages/keras/engine/training.py in train_on_batch(self, x, y, sample_weight, class_weight) 1215 ins = x + y + sample_weights 1216 self._make_train_function() -> 1217 outputs = self.train_function(ins) 1218 return unpack_singleton(outputs) 1219 /usr/local/lib/python3.6/site-packages/keras/backend/tensorflow_backend.py in __call__(self, inputs) 2713 return self._legacy_call(inputs) 2714 -> 2715 return self._call(inputs) 2716 else: 2717 if py_any(is_tensor(x) for x in inputs): /usr/local/lib/python3.6/site-packages/keras/backend/tensorflow_backend.py in _call(self, inputs) 2673 fetched = self._callable_fn(*array_vals, run_metadata=self.run_metadata) 2674 else: -> 2675 fetched = self._callable_fn(*array_vals) 2676 return fetched[:len(self.outputs)] 2677 /usr/local/lib/python3.6/site-packages/tensorflow/python/client/session.py in __call__(self, *args, **kwargs) 1397 ret = tf_session.TF_SessionRunCallable( 1398 self._session._session, self._handle, args, status, -> 1399 run_metadata_ptr) 1400 if run_metadata: 1401 proto_data = tf_session.TF_GetBuffer(run_metadata_ptr) KeyboardInterrupt:
In [27]:
loss_val, acc_val = model.evaluate(X_val, y_val, verbose=1)
print("Validation: accuracy = %f ; loss_v = %f" % (acc_val, loss_val))
902/902 [==============================] - 11s 12ms/step Validation: accuracy = 0.858093 ; loss_v = 0.601230
Testing¶
In [28]:
X_test = np.load("/floyd/input/skin_cancer_192_256/256_192_test.npy")
In [29]:
y_test = np.load("/floyd/input/skin_cancer_192_256/test_labels.npy")
y_test = to_categorical(y_test)
In [30]:
loss_test, acc_test = model.evaluate(X_test, y_test, verbose=1)
print("Test: accuracy = %f ; loss = %f" % (acc_test, loss_test))
1002/1002 [==============================] - 13s 13ms/step Test: accuracy = 0.839321 ; loss = 0.691851
In [31]:
model.save("DenseNetFT.h5")
In [32]:
# Retrieve a list of accuracy results on training and test data
# sets for each training epoch
acc = history.history['acc']
val_acc = history.history['val_acc']
# Retrieve a list of list results on training and test data
# sets for each training epoch
loss = history.history['loss']
val_loss = history.history['val_loss']
# Get number of epochs
epochs = range(len(acc))
# Plot training and validation accuracy per epoch
plt.plot(epochs, acc, label = "training")
plt.plot(epochs, val_acc, label = "validation")
plt.legend(loc="upper left")
plt.title('Training and validation accuracy')
plt.figure()
# Plot training and validation loss per epoch
plt.plot(epochs, loss, label = "training")
plt.plot(epochs, val_loss, label = "validation")
plt.legend(loc="upper right")
plt.title('Training and validation loss')
Out[32]:
Text(0.5,1,'Training and validation loss')
In [ ]: