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  • densenet201-c1103571.pth

    2018-11-23 21:25:08
    densenet201-c1103571.pth,pytorch预训练模型,densenet201
  • from tensorflow.keras.applications import DenseNet201 with strategy.scope(): rnet = DenseNet201( input_shape=(IMAGE_SIZE[0], IMAGE_SIZE[1], 3), weights='imagenet', include...
    from tensorflow.keras.applications import DenseNet201
    
    with strategy.scope():
        rnet = DenseNet201(
            input_shape=(IMAGE_SIZE[0], IMAGE_SIZE[1], 3),
            weights='imagenet',
            include_top=False
        )
        
        rnet.trainable = True
    
        model = tf.keras.Sequential([
            rnet,
            tf.keras.layers.GlobalAveragePooling2D(),
            tf.keras.layers.Dense(len(CLASSES), activation='softmax')
        ])
            
    model.compile(
        optimizer='adam',
        loss = 'sparse_categorical_crossentropy',
        metrics=['sparse_categorical_accuracy']
    )
    
    model.summary()
    
    models.append(model)
    
    展开全文
  • https://github.com/keras-team/keras-applications/releases/download/densenet/densenet201_weights_tf_dim_ordering_tf_kernels.h5 ...

    https://github.com/keras-team/keras-applications/releases/download/densenet/densenet201_weights_tf_dim_ordering_tf_kernels.h5

    https://github.com/keras-team/keras-applications/releases/download/densenet/densenet201_weights_tf_dim_ordering_tf_kernels_notop.h5

    import keras.layers as KL
    import keras.models as KM
    import keras
    from keras.applications.densenet import DenseNet201
    import os
    # os.environ['CUDA_DEVICES_VISIBLE'] = '1'
    print(keras.__version__)
    
    
    input_image = KL.Input(shape=[512, 512, 3], name="input_image")
    
    resnet50 = DenseNet201(input_tensor=input_image, include_top=True)
    # conv5_block1_1_conv
    x = resnet50.get_layer('fc1000').output  # block5_pool  max_pool  conv5_block1_1_conv
    
    # resnet50.summery(0)
    inputs = [input_image]
    outputs = [x]
    
    model = KM.Model(inputs, outputs, name='ctpn')
    model.summary()
    
    /home/hlx2/anaconda3/bin/python3.6 "/home/hlx2/OCR/keras-ctpn2 _1/densenet121/taste.py"
    /home/hlx2/anaconda3/lib/python3.6/site-packages/h5py/__init__.py:34: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.
      from ._conv import register_converters as _register_converters
    Using TensorFlow backend.
    2.2.5
    WARNING:tensorflow:From /home/hlx2/anaconda3/lib/python3.6/site-packages/keras/backend/tensorflow_backend.py:541: The name tf.placeholder is deprecated. Please use tf.compat.v1.placeholder instead.
    
    WARNING:tensorflow:From /home/hlx2/anaconda3/lib/python3.6/site-packages/keras/backend/tensorflow_backend.py:66: The name tf.get_default_graph is deprecated. Please use tf.compat.v1.get_default_graph instead.
    
    WARNING:tensorflow:From /home/hlx2/anaconda3/lib/python3.6/site-packages/keras/backend/tensorflow_backend.py:4432: The name tf.random_uniform is deprecated. Please use tf.random.uniform instead.
    
    WARNING:tensorflow:From /home/hlx2/anaconda3/lib/python3.6/site-packages/keras/backend/tensorflow_backend.py:190: The name tf.get_default_session is deprecated. Please use tf.compat.v1.get_default_session instead.
    
    WARNING:tensorflow:From /home/hlx2/anaconda3/lib/python3.6/site-packages/keras/backend/tensorflow_backend.py:197: The name tf.ConfigProto is deprecated. Please use tf.compat.v1.ConfigProto instead.
    
    2020-12-01 16:26:30.386109: I tensorflow/core/platform/cpu_feature_guard.cc:142] Your CPU supports instructions that this TensorFlow binary was not compiled to use: SSE4.1 SSE4.2 AVX AVX2 AVX512F FMA
    2020-12-01 16:26:30.394812: I tensorflow/core/platform/profile_utils/cpu_utils.cc:94] CPU Frequency: 3299990000 Hz
    2020-12-01 16:26:30.396098: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x5638ab3a9710 executing computations on platform Host. Devices:
    2020-12-01 16:26:30.396134: I tensorflow/compiler/xla/service/service.cc:175]   StreamExecutor device (0): <undefined>, <undefined>
    2020-12-01 16:26:30.397649: I tensorflow/stream_executor/platform/default/dso_loader.cc:42] Successfully opened dynamic library libcuda.so.1
    2020-12-01 16:26:30.618893: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1640] Found device 0 with properties: 
    name: GeForce GTX 1080 Ti major: 6 minor: 1 memoryClockRate(GHz): 1.6575
    pciBusID: 0000:17:00.0
    2020-12-01 16:26:30.619314: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1640] Found device 1 with properties: 
    name: GeForce GTX 1080 Ti major: 6 minor: 1 memoryClockRate(GHz): 1.6575
    pciBusID: 0000:65:00.0
    2020-12-01 16:26:30.619554: I tensorflow/stream_executor/platform/default/dso_loader.cc:42] Successfully opened dynamic library libcudart.so.10.1
    2020-12-01 16:26:30.620749: I tensorflow/stream_executor/platform/default/dso_loader.cc:42] Successfully opened dynamic library libcublas.so.10
    2020-12-01 16:26:30.621994: I tensorflow/stream_executor/platform/default/dso_loader.cc:42] Successfully opened dynamic library libcufft.so.10
    2020-12-01 16:26:30.622271: I tensorflow/stream_executor/platform/default/dso_loader.cc:42] Successfully opened dynamic library libcurand.so.10
    2020-12-01 16:26:30.623459: I tensorflow/stream_executor/platform/default/dso_loader.cc:42] Successfully opened dynamic library libcusolver.so.10
    2020-12-01 16:26:30.624025: I tensorflow/stream_executor/platform/default/dso_loader.cc:42] Successfully opened dynamic library libcusparse.so.10
    2020-12-01 16:26:30.626488: I tensorflow/stream_executor/platform/default/dso_loader.cc:42] Successfully opened dynamic library libcudnn.so.7
    2020-12-01 16:26:30.627917: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1763] Adding visible gpu devices: 0, 1
    2020-12-01 16:26:30.627951: I tensorflow/stream_executor/platform/default/dso_loader.cc:42] Successfully opened dynamic library libcudart.so.10.1
    2020-12-01 16:26:30.629021: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1181] Device interconnect StreamExecutor with strength 1 edge matrix:
    2020-12-01 16:26:30.629033: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1187]      0 1 
    2020-12-01 16:26:30.629037: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1200] 0:   N Y 
    2020-12-01 16:26:30.629040: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1200] 1:   Y N 
    2020-12-01 16:26:30.630607: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1326] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10479 MB memory) -> physical GPU (device: 0, name: GeForce GTX 1080 Ti, pci bus id: 0000:17:00.0, compute capability: 6.1)
    2020-12-01 16:26:30.631557: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1326] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:1 with 6795 MB memory) -> physical GPU (device: 1, name: GeForce GTX 1080 Ti, pci bus id: 0000:65:00.0, compute capability: 6.1)
    2020-12-01 16:26:30.633249: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x5638ac3f9c70 executing computations on platform CUDA. Devices:
    2020-12-01 16:26:30.633263: I tensorflow/compiler/xla/service/service.cc:175]   StreamExecutor device (0): GeForce GTX 1080 Ti, Compute Capability 6.1
    2020-12-01 16:26:30.633266: I tensorflow/compiler/xla/service/service.cc:175]   StreamExecutor device (1): GeForce GTX 1080 Ti, Compute Capability 6.1
    WARNING:tensorflow:From /home/hlx2/anaconda3/lib/python3.6/site-packages/keras/backend/tensorflow_backend.py:2041: The name tf.nn.fused_batch_norm is deprecated. Please use tf.compat.v1.nn.fused_batch_norm instead.
    
    WARNING:tensorflow:From /home/hlx2/anaconda3/lib/python3.6/site-packages/keras/backend/tensorflow_backend.py:4267: The name tf.nn.max_pool is deprecated. Please use tf.nn.max_pool2d instead.
    
    WARNING:tensorflow:From /home/hlx2/anaconda3/lib/python3.6/site-packages/keras/backend/tensorflow_backend.py:4271: The name tf.nn.avg_pool is deprecated. Please use tf.nn.avg_pool2d instead.
    
    Model: "ctpn"
    __________________________________________________________________________________________________
    Layer (type)                    Output Shape         Param #     Connected to                     
    ==================================================================================================
    input_image (InputLayer)        (None, 512, 512, 3)  0                                            
    __________________________________________________________________________________________________
    zero_padding2d_1 (ZeroPadding2D (None, 518, 518, 3)  0           input_image[0][0]                
    __________________________________________________________________________________________________
    conv1/conv (Conv2D)             (None, 256, 256, 64) 9408        zero_padding2d_1[0][0]           
    __________________________________________________________________________________________________
    conv1/bn (BatchNormalization)   (None, 256, 256, 64) 256         conv1/conv[0][0]                 
    __________________________________________________________________________________________________
    conv1/relu (Activation)         (None, 256, 256, 64) 0           conv1/bn[0][0]                   
    __________________________________________________________________________________________________
    zero_padding2d_2 (ZeroPadding2D (None, 258, 258, 64) 0           conv1/relu[0][0]                 
    __________________________________________________________________________________________________
    pool1 (MaxPooling2D)            (None, 128, 128, 64) 0           zero_padding2d_2[0][0]           
    __________________________________________________________________________________________________
    conv2_block1_0_bn (BatchNormali (None, 128, 128, 64) 256         pool1[0][0]                      
    __________________________________________________________________________________________________
    conv2_block1_0_relu (Activation (None, 128, 128, 64) 0           conv2_block1_0_bn[0][0]          
    __________________________________________________________________________________________________
    conv2_block1_1_conv (Conv2D)    (None, 128, 128, 128 8192        conv2_block1_0_relu[0][0]        
    __________________________________________________________________________________________________
    conv2_block1_1_bn (BatchNormali (None, 128, 128, 128 512         conv2_block1_1_conv[0][0]        
    __________________________________________________________________________________________________
    conv2_block1_1_relu (Activation (None, 128, 128, 128 0           conv2_block1_1_bn[0][0]          
    __________________________________________________________________________________________________
    conv2_block1_2_conv (Conv2D)    (None, 128, 128, 32) 36864       conv2_block1_1_relu[0][0]        
    __________________________________________________________________________________________________
    conv2_block1_concat (Concatenat (None, 128, 128, 96) 0           pool1[0][0]                      
                                                                     conv2_block1_2_conv[0][0]        
    __________________________________________________________________________________________________
    conv2_block2_0_bn (BatchNormali (None, 128, 128, 96) 384         conv2_block1_concat[0][0]        
    __________________________________________________________________________________________________
    conv2_block2_0_relu (Activation (None, 128, 128, 96) 0           conv2_block2_0_bn[0][0]          
    __________________________________________________________________________________________________
    conv2_block2_1_conv (Conv2D)    (None, 128, 128, 128 12288       conv2_block2_0_relu[0][0]        
    __________________________________________________________________________________________________
    conv2_block2_1_bn (BatchNormali (None, 128, 128, 128 512         conv2_block2_1_conv[0][0]        
    __________________________________________________________________________________________________
    conv2_block2_1_relu (Activation (None, 128, 128, 128 0           conv2_block2_1_bn[0][0]          
    __________________________________________________________________________________________________
    conv2_block2_2_conv (Conv2D)    (None, 128, 128, 32) 36864       conv2_block2_1_relu[0][0]        
    __________________________________________________________________________________________________
    conv2_block2_concat (Concatenat (None, 128, 128, 128 0           conv2_block1_concat[0][0]        
                                                                     conv2_block2_2_conv[0][0]        
    __________________________________________________________________________________________________
    conv2_block3_0_bn (BatchNormali (None, 128, 128, 128 512         conv2_block2_concat[0][0]        
    __________________________________________________________________________________________________
    conv2_block3_0_relu (Activation (None, 128, 128, 128 0           conv2_block3_0_bn[0][0]          
    __________________________________________________________________________________________________
    conv2_block3_1_conv (Conv2D)    (None, 128, 128, 128 16384       conv2_block3_0_relu[0][0]        
    __________________________________________________________________________________________________
    conv2_block3_1_bn (BatchNormali (None, 128, 128, 128 512         conv2_block3_1_conv[0][0]        
    __________________________________________________________________________________________________
    conv2_block3_1_relu (Activation (None, 128, 128, 128 0           conv2_block3_1_bn[0][0]          
    __________________________________________________________________________________________________
    conv2_block3_2_conv (Conv2D)    (None, 128, 128, 32) 36864       conv2_block3_1_relu[0][0]        
    __________________________________________________________________________________________________
    conv2_block3_concat (Concatenat (None, 128, 128, 160 0           conv2_block2_concat[0][0]        
                                                                     conv2_block3_2_conv[0][0]        
    __________________________________________________________________________________________________
    conv2_block4_0_bn (BatchNormali (None, 128, 128, 160 640         conv2_block3_concat[0][0]        
    __________________________________________________________________________________________________
    conv2_block4_0_relu (Activation (None, 128, 128, 160 0           conv2_block4_0_bn[0][0]          
    __________________________________________________________________________________________________
    conv2_block4_1_conv (Conv2D)    (None, 128, 128, 128 20480       conv2_block4_0_relu[0][0]        
    __________________________________________________________________________________________________
    conv2_block4_1_bn (BatchNormali (None, 128, 128, 128 512         conv2_block4_1_conv[0][0]        
    __________________________________________________________________________________________________
    conv2_block4_1_relu (Activation (None, 128, 128, 128 0           conv2_block4_1_bn[0][0]          
    __________________________________________________________________________________________________
    conv2_block4_2_conv (Conv2D)    (None, 128, 128, 32) 36864       conv2_block4_1_relu[0][0]        
    __________________________________________________________________________________________________
    conv2_block4_concat (Concatenat (None, 128, 128, 192 0           conv2_block3_concat[0][0]        
                                                                     conv2_block4_2_conv[0][0]        
    __________________________________________________________________________________________________
    conv2_block5_0_bn (BatchNormali (None, 128, 128, 192 768         conv2_block4_concat[0][0]        
    __________________________________________________________________________________________________
    conv2_block5_0_relu (Activation (None, 128, 128, 192 0           conv2_block5_0_bn[0][0]          
    __________________________________________________________________________________________________
    conv2_block5_1_conv (Conv2D)    (None, 128, 128, 128 24576       conv2_block5_0_relu[0][0]        
    __________________________________________________________________________________________________
    conv2_block5_1_bn (BatchNormali (None, 128, 128, 128 512         conv2_block5_1_conv[0][0]        
    __________________________________________________________________________________________________
    conv2_block5_1_relu (Activation (None, 128, 128, 128 0           conv2_block5_1_bn[0][0]          
    __________________________________________________________________________________________________
    conv2_block5_2_conv (Conv2D)    (None, 128, 128, 32) 36864       conv2_block5_1_relu[0][0]        
    __________________________________________________________________________________________________
    conv2_block5_concat (Concatenat (None, 128, 128, 224 0           conv2_block4_concat[0][0]        
                                                                     conv2_block5_2_conv[0][0]        
    __________________________________________________________________________________________________
    conv2_block6_0_bn (BatchNormali (None, 128, 128, 224 896         conv2_block5_concat[0][0]        
    __________________________________________________________________________________________________
    conv2_block6_0_relu (Activation (None, 128, 128, 224 0           conv2_block6_0_bn[0][0]          
    __________________________________________________________________________________________________
    conv2_block6_1_conv (Conv2D)    (None, 128, 128, 128 28672       conv2_block6_0_relu[0][0]        
    __________________________________________________________________________________________________
    conv2_block6_1_bn (BatchNormali (None, 128, 128, 128 512         conv2_block6_1_conv[0][0]        
    __________________________________________________________________________________________________
    conv2_block6_1_relu (Activation (None, 128, 128, 128 0           conv2_block6_1_bn[0][0]          
    __________________________________________________________________________________________________
    conv2_block6_2_conv (Conv2D)    (None, 128, 128, 32) 36864       conv2_block6_1_relu[0][0]        
    __________________________________________________________________________________________________
    conv2_block6_concat (Concatenat (None, 128, 128, 256 0           conv2_block5_concat[0][0]        
                                                                     conv2_block6_2_conv[0][0]        
    __________________________________________________________________________________________________
    pool2_bn (BatchNormalization)   (None, 128, 128, 256 1024        conv2_block6_concat[0][0]        
    __________________________________________________________________________________________________
    pool2_relu (Activation)         (None, 128, 128, 256 0           pool2_bn[0][0]                   
    __________________________________________________________________________________________________
    pool2_conv (Conv2D)             (None, 128, 128, 128 32768       pool2_relu[0][0]                 
    __________________________________________________________________________________________________
    pool2_pool (AveragePooling2D)   (None, 64, 64, 128)  0           pool2_conv[0][0]                 
    __________________________________________________________________________________________________
    conv3_block1_0_bn (BatchNormali (None, 64, 64, 128)  512         pool2_pool[0][0]                 
    __________________________________________________________________________________________________
    conv3_block1_0_relu (Activation (None, 64, 64, 128)  0           conv3_block1_0_bn[0][0]          
    __________________________________________________________________________________________________
    conv3_block1_1_conv (Conv2D)    (None, 64, 64, 128)  16384       conv3_block1_0_relu[0][0]        
    __________________________________________________________________________________________________
    conv3_block1_1_bn (BatchNormali (None, 64, 64, 128)  512         conv3_block1_1_conv[0][0]        
    __________________________________________________________________________________________________
    conv3_block1_1_relu (Activation (None, 64, 64, 128)  0           conv3_block1_1_bn[0][0]          
    __________________________________________________________________________________________________
    conv3_block1_2_conv (Conv2D)    (None, 64, 64, 32)   36864       conv3_block1_1_relu[0][0]        
    __________________________________________________________________________________________________
    conv3_block1_concat (Concatenat (None, 64, 64, 160)  0           pool2_pool[0][0]                 
                                                                     conv3_block1_2_conv[0][0]        
    __________________________________________________________________________________________________
    conv3_block2_0_bn (BatchNormali (None, 64, 64, 160)  640         conv3_block1_concat[0][0]        
    __________________________________________________________________________________________________
    conv3_block2_0_relu (Activation (None, 64, 64, 160)  0           conv3_block2_0_bn[0][0]          
    __________________________________________________________________________________________________
    conv3_block2_1_conv (Conv2D)    (None, 64, 64, 128)  20480       conv3_block2_0_relu[0][0]        
    __________________________________________________________________________________________________
    conv3_block2_1_bn (BatchNormali (None, 64, 64, 128)  512         conv3_block2_1_conv[0][0]        
    __________________________________________________________________________________________________
    conv3_block2_1_relu (Activation (None, 64, 64, 128)  0           conv3_block2_1_bn[0][0]          
    __________________________________________________________________________________________________
    conv3_block2_2_conv (Conv2D)    (None, 64, 64, 32)   36864       conv3_block2_1_relu[0][0]        
    __________________________________________________________________________________________________
    conv3_block2_concat (Concatenat (None, 64, 64, 192)  0           conv3_block1_concat[0][0]        
                                                                     conv3_block2_2_conv[0][0]        
    __________________________________________________________________________________________________
    conv3_block3_0_bn (BatchNormali (None, 64, 64, 192)  768         conv3_block2_concat[0][0]        
    __________________________________________________________________________________________________
    conv3_block3_0_relu (Activation (None, 64, 64, 192)  0           conv3_block3_0_bn[0][0]          
    __________________________________________________________________________________________________
    conv3_block3_1_conv (Conv2D)    (None, 64, 64, 128)  24576       conv3_block3_0_relu[0][0]        
    __________________________________________________________________________________________________
    conv3_block3_1_bn (BatchNormali (None, 64, 64, 128)  512         conv3_block3_1_conv[0][0]        
    __________________________________________________________________________________________________
    conv3_block3_1_relu (Activation (None, 64, 64, 128)  0           conv3_block3_1_bn[0][0]          
    __________________________________________________________________________________________________
    conv3_block3_2_conv (Conv2D)    (None, 64, 64, 32)   36864       conv3_block3_1_relu[0][0]        
    __________________________________________________________________________________________________
    conv3_block3_concat (Concatenat (None, 64, 64, 224)  0           conv3_block2_concat[0][0]        
                                                                     conv3_block3_2_conv[0][0]        
    __________________________________________________________________________________________________
    conv3_block4_0_bn (BatchNormali (None, 64, 64, 224)  896         conv3_block3_concat[0][0]        
    __________________________________________________________________________________________________
    conv3_block4_0_relu (Activation (None, 64, 64, 224)  0           conv3_block4_0_bn[0][0]          
    __________________________________________________________________________________________________
    conv3_block4_1_conv (Conv2D)    (None, 64, 64, 128)  28672       conv3_block4_0_relu[0][0]        
    __________________________________________________________________________________________________
    conv3_block4_1_bn (BatchNormali (None, 64, 64, 128)  512         conv3_block4_1_conv[0][0]        
    __________________________________________________________________________________________________
    conv3_block4_1_relu (Activation (None, 64, 64, 128)  0           conv3_block4_1_bn[0][0]          
    __________________________________________________________________________________________________
    conv3_block4_2_conv (Conv2D)    (None, 64, 64, 32)   36864       conv3_block4_1_relu[0][0]        
    __________________________________________________________________________________________________
    conv3_block4_concat (Concatenat (None, 64, 64, 256)  0           conv3_block3_concat[0][0]        
                                                                     conv3_block4_2_conv[0][0]        
    __________________________________________________________________________________________________
    conv3_block5_0_bn (BatchNormali (None, 64, 64, 256)  1024        conv3_block4_concat[0][0]        
    __________________________________________________________________________________________________
    conv3_block5_0_relu (Activation (None, 64, 64, 256)  0           conv3_block5_0_bn[0][0]          
    __________________________________________________________________________________________________
    conv3_block5_1_conv (Conv2D)    (None, 64, 64, 128)  32768       conv3_block5_0_relu[0][0]        
    __________________________________________________________________________________________________
    conv3_block5_1_bn (BatchNormali (None, 64, 64, 128)  512         conv3_block5_1_conv[0][0]        
    __________________________________________________________________________________________________
    conv3_block5_1_relu (Activation (None, 64, 64, 128)  0           conv3_block5_1_bn[0][0]          
    __________________________________________________________________________________________________
    conv3_block5_2_conv (Conv2D)    (None, 64, 64, 32)   36864       conv3_block5_1_relu[0][0]        
    __________________________________________________________________________________________________
    conv3_block5_concat (Concatenat (None, 64, 64, 288)  0           conv3_block4_concat[0][0]        
                                                                     conv3_block5_2_conv[0][0]        
    __________________________________________________________________________________________________
    conv3_block6_0_bn (BatchNormali (None, 64, 64, 288)  1152        conv3_block5_concat[0][0]        
    __________________________________________________________________________________________________
    conv3_block6_0_relu (Activation (None, 64, 64, 288)  0           conv3_block6_0_bn[0][0]          
    __________________________________________________________________________________________________
    conv3_block6_1_conv (Conv2D)    (None, 64, 64, 128)  36864       conv3_block6_0_relu[0][0]        
    __________________________________________________________________________________________________
    conv3_block6_1_bn (BatchNormali (None, 64, 64, 128)  512         conv3_block6_1_conv[0][0]        
    __________________________________________________________________________________________________
    conv3_block6_1_relu (Activation (None, 64, 64, 128)  0           conv3_block6_1_bn[0][0]          
    __________________________________________________________________________________________________
    conv3_block6_2_conv (Conv2D)    (None, 64, 64, 32)   36864       conv3_block6_1_relu[0][0]        
    __________________________________________________________________________________________________
    conv3_block6_concat (Concatenat (None, 64, 64, 320)  0           conv3_block5_concat[0][0]        
                                                                     conv3_block6_2_conv[0][0]        
    __________________________________________________________________________________________________
    conv3_block7_0_bn (BatchNormali (None, 64, 64, 320)  1280        conv3_block6_concat[0][0]        
    __________________________________________________________________________________________________
    conv3_block7_0_relu (Activation (None, 64, 64, 320)  0           conv3_block7_0_bn[0][0]          
    __________________________________________________________________________________________________
    conv3_block7_1_conv (Conv2D)    (None, 64, 64, 128)  40960       conv3_block7_0_relu[0][0]        
    __________________________________________________________________________________________________
    conv3_block7_1_bn (BatchNormali (None, 64, 64, 128)  512         conv3_block7_1_conv[0][0]        
    __________________________________________________________________________________________________
    conv3_block7_1_relu (Activation (None, 64, 64, 128)  0           conv3_block7_1_bn[0][0]          
    __________________________________________________________________________________________________
    conv3_block7_2_conv (Conv2D)    (None, 64, 64, 32)   36864       conv3_block7_1_relu[0][0]        
    __________________________________________________________________________________________________
    conv3_block7_concat (Concatenat (None, 64, 64, 352)  0           conv3_block6_concat[0][0]        
                                                                     conv3_block7_2_conv[0][0]        
    __________________________________________________________________________________________________
    conv3_block8_0_bn (BatchNormali (None, 64, 64, 352)  1408        conv3_block7_concat[0][0]        
    __________________________________________________________________________________________________
    conv3_block8_0_relu (Activation (None, 64, 64, 352)  0           conv3_block8_0_bn[0][0]          
    __________________________________________________________________________________________________
    conv3_block8_1_conv (Conv2D)    (None, 64, 64, 128)  45056       conv3_block8_0_relu[0][0]        
    __________________________________________________________________________________________________
    conv3_block8_1_bn (BatchNormali (None, 64, 64, 128)  512         conv3_block8_1_conv[0][0]        
    __________________________________________________________________________________________________
    conv3_block8_1_relu (Activation (None, 64, 64, 128)  0           conv3_block8_1_bn[0][0]          
    __________________________________________________________________________________________________
    conv3_block8_2_conv (Conv2D)    (None, 64, 64, 32)   36864       conv3_block8_1_relu[0][0]        
    __________________________________________________________________________________________________
    conv3_block8_concat (Concatenat (None, 64, 64, 384)  0           conv3_block7_concat[0][0]        
                                                                     conv3_block8_2_conv[0][0]        
    __________________________________________________________________________________________________
    conv3_block9_0_bn (BatchNormali (None, 64, 64, 384)  1536        conv3_block8_concat[0][0]        
    __________________________________________________________________________________________________
    conv3_block9_0_relu (Activation (None, 64, 64, 384)  0           conv3_block9_0_bn[0][0]          
    __________________________________________________________________________________________________
    conv3_block9_1_conv (Conv2D)    (None, 64, 64, 128)  49152       conv3_block9_0_relu[0][0]        
    __________________________________________________________________________________________________
    conv3_block9_1_bn (BatchNormali (None, 64, 64, 128)  512         conv3_block9_1_conv[0][0]        
    __________________________________________________________________________________________________
    conv3_block9_1_relu (Activation (None, 64, 64, 128)  0           conv3_block9_1_bn[0][0]          
    __________________________________________________________________________________________________
    conv3_block9_2_conv (Conv2D)    (None, 64, 64, 32)   36864       conv3_block9_1_relu[0][0]        
    __________________________________________________________________________________________________
    conv3_block9_concat (Concatenat (None, 64, 64, 416)  0           conv3_block8_concat[0][0]        
                                                                     conv3_block9_2_conv[0][0]        
    __________________________________________________________________________________________________
    conv3_block10_0_bn (BatchNormal (None, 64, 64, 416)  1664        conv3_block9_concat[0][0]        
    __________________________________________________________________________________________________
    conv3_block10_0_relu (Activatio (None, 64, 64, 416)  0           conv3_block10_0_bn[0][0]         
    __________________________________________________________________________________________________
    conv3_block10_1_conv (Conv2D)   (None, 64, 64, 128)  53248       conv3_block10_0_relu[0][0]       
    __________________________________________________________________________________________________
    conv3_block10_1_bn (BatchNormal (None, 64, 64, 128)  512         conv3_block10_1_conv[0][0]       
    __________________________________________________________________________________________________
    conv3_block10_1_relu (Activatio (None, 64, 64, 128)  0           conv3_block10_1_bn[0][0]         
    __________________________________________________________________________________________________
    conv3_block10_2_conv (Conv2D)   (None, 64, 64, 32)   36864       conv3_block10_1_relu[0][0]       
    __________________________________________________________________________________________________
    conv3_block10_concat (Concatena (None, 64, 64, 448)  0           conv3_block9_concat[0][0]        
                                                                     conv3_block10_2_conv[0][0]       
    __________________________________________________________________________________________________
    conv3_block11_0_bn (BatchNormal (None, 64, 64, 448)  1792        conv3_block10_concat[0][0]       
    __________________________________________________________________________________________________
    conv3_block11_0_relu (Activatio (None, 64, 64, 448)  0           conv3_block11_0_bn[0][0]         
    __________________________________________________________________________________________________
    conv3_block11_1_conv (Conv2D)   (None, 64, 64, 128)  57344       conv3_block11_0_relu[0][0]       
    __________________________________________________________________________________________________
    conv3_block11_1_bn (BatchNormal (None, 64, 64, 128)  512         conv3_block11_1_conv[0][0]       
    __________________________________________________________________________________________________
    conv3_block11_1_relu (Activatio (None, 64, 64, 128)  0           conv3_block11_1_bn[0][0]         
    __________________________________________________________________________________________________
    conv3_block11_2_conv (Conv2D)   (None, 64, 64, 32)   36864       conv3_block11_1_relu[0][0]       
    __________________________________________________________________________________________________
    conv3_block11_concat (Concatena (None, 64, 64, 480)  0           conv3_block10_concat[0][0]       
                                                                     conv3_block11_2_conv[0][0]       
    __________________________________________________________________________________________________
    conv3_block12_0_bn (BatchNormal (None, 64, 64, 480)  1920        conv3_block11_concat[0][0]       
    __________________________________________________________________________________________________
    conv3_block12_0_relu (Activatio (None, 64, 64, 480)  0           conv3_block12_0_bn[0][0]         
    __________________________________________________________________________________________________
    conv3_block12_1_conv (Conv2D)   (None, 64, 64, 128)  61440       conv3_block12_0_relu[0][0]       
    __________________________________________________________________________________________________
    conv3_block12_1_bn (BatchNormal (None, 64, 64, 128)  512         conv3_block12_1_conv[0][0]       
    __________________________________________________________________________________________________
    conv3_block12_1_relu (Activatio (None, 64, 64, 128)  0           conv3_block12_1_bn[0][0]         
    __________________________________________________________________________________________________
    conv3_block12_2_conv (Conv2D)   (None, 64, 64, 32)   36864       conv3_block12_1_relu[0][0]       
    __________________________________________________________________________________________________
    conv3_block12_concat (Concatena (None, 64, 64, 512)  0           conv3_block11_concat[0][0]       
                                                                     conv3_block12_2_conv[0][0]       
    __________________________________________________________________________________________________
    pool3_bn (BatchNormalization)   (None, 64, 64, 512)  2048        conv3_block12_concat[0][0]       
    __________________________________________________________________________________________________
    pool3_relu (Activation)         (None, 64, 64, 512)  0           pool3_bn[0][0]                   
    __________________________________________________________________________________________________
    pool3_conv (Conv2D)             (None, 64, 64, 256)  131072      pool3_relu[0][0]                 
    __________________________________________________________________________________________________
    pool3_pool (AveragePooling2D)   (None, 32, 32, 256)  0           pool3_conv[0][0]                 
    __________________________________________________________________________________________________
    conv4_block1_0_bn (BatchNormali (None, 32, 32, 256)  1024        pool3_pool[0][0]                 
    __________________________________________________________________________________________________
    conv4_block1_0_relu (Activation (None, 32, 32, 256)  0           conv4_block1_0_bn[0][0]          
    __________________________________________________________________________________________________
    conv4_block1_1_conv (Conv2D)    (None, 32, 32, 128)  32768       conv4_block1_0_relu[0][0]        
    __________________________________________________________________________________________________
    conv4_block1_1_bn (BatchNormali (None, 32, 32, 128)  512         conv4_block1_1_conv[0][0]        
    __________________________________________________________________________________________________
    conv4_block1_1_relu (Activation (None, 32, 32, 128)  0           conv4_block1_1_bn[0][0]          
    __________________________________________________________________________________________________
    conv4_block1_2_conv (Conv2D)    (None, 32, 32, 32)   36864       conv4_block1_1_relu[0][0]        
    __________________________________________________________________________________________________
    conv4_block1_concat (Concatenat (None, 32, 32, 288)  0           pool3_pool[0][0]                 
                                                                     conv4_block1_2_conv[0][0]        
    __________________________________________________________________________________________________
    conv4_block2_0_bn (BatchNormali (None, 32, 32, 288)  1152        conv4_block1_concat[0][0]        
    __________________________________________________________________________________________________
    conv4_block2_0_relu (Activation (None, 32, 32, 288)  0           conv4_block2_0_bn[0][0]          
    __________________________________________________________________________________________________
    conv4_block2_1_conv (Conv2D)    (None, 32, 32, 128)  36864       conv4_block2_0_relu[0][0]        
    __________________________________________________________________________________________________
    conv4_block2_1_bn (BatchNormali (None, 32, 32, 128)  512         conv4_block2_1_conv[0][0]        
    __________________________________________________________________________________________________
    conv4_block2_1_relu (Activation (None, 32, 32, 128)  0           conv4_block2_1_bn[0][0]          
    __________________________________________________________________________________________________
    conv4_block2_2_conv (Conv2D)    (None, 32, 32, 32)   36864       conv4_block2_1_relu[0][0]        
    __________________________________________________________________________________________________
    conv4_block2_concat (Concatenat (None, 32, 32, 320)  0           conv4_block1_concat[0][0]        
                                                                     conv4_block2_2_conv[0][0]        
    __________________________________________________________________________________________________
    conv4_block3_0_bn (BatchNormali (None, 32, 32, 320)  1280        conv4_block2_concat[0][0]        
    __________________________________________________________________________________________________
    conv4_block3_0_relu (Activation (None, 32, 32, 320)  0           conv4_block3_0_bn[0][0]          
    __________________________________________________________________________________________________
    conv4_block3_1_conv (Conv2D)    (None, 32, 32, 128)  40960       conv4_block3_0_relu[0][0]        
    __________________________________________________________________________________________________
    conv4_block3_1_bn (BatchNormali (None, 32, 32, 128)  512         conv4_block3_1_conv[0][0]        
    __________________________________________________________________________________________________
    conv4_block3_1_relu (Activation (None, 32, 32, 128)  0           conv4_block3_1_bn[0][0]          
    __________________________________________________________________________________________________
    conv4_block3_2_conv (Conv2D)    (None, 32, 32, 32)   36864       conv4_block3_1_relu[0][0]        
    __________________________________________________________________________________________________
    conv4_block3_concat (Concatenat (None, 32, 32, 352)  0           conv4_block2_concat[0][0]        
                                                                     conv4_block3_2_conv[0][0]        
    __________________________________________________________________________________________________
    conv4_block4_0_bn (BatchNormali (None, 32, 32, 352)  1408        conv4_block3_concat[0][0]        
    __________________________________________________________________________________________________
    conv4_block4_0_relu (Activation (None, 32, 32, 352)  0           conv4_block4_0_bn[0][0]          
    __________________________________________________________________________________________________
    conv4_block4_1_conv (Conv2D)    (None, 32, 32, 128)  45056       conv4_block4_0_relu[0][0]        
    __________________________________________________________________________________________________
    conv4_block4_1_bn (BatchNormali (None, 32, 32, 128)  512         conv4_block4_1_conv[0][0]        
    __________________________________________________________________________________________________
    conv4_block4_1_relu (Activation (None, 32, 32, 128)  0           conv4_block4_1_bn[0][0]          
    __________________________________________________________________________________________________
    conv4_block4_2_conv (Conv2D)    (None, 32, 32, 32)   36864       conv4_block4_1_relu[0][0]        
    __________________________________________________________________________________________________
    conv4_block4_concat (Concatenat (None, 32, 32, 384)  0           conv4_block3_concat[0][0]        
                                                                     conv4_block4_2_conv[0][0]        
    __________________________________________________________________________________________________
    conv4_block5_0_bn (BatchNormali (None, 32, 32, 384)  1536        conv4_block4_concat[0][0]        
    __________________________________________________________________________________________________
    conv4_block5_0_relu (Activation (None, 32, 32, 384)  0           conv4_block5_0_bn[0][0]          
    __________________________________________________________________________________________________
    conv4_block5_1_conv (Conv2D)    (None, 32, 32, 128)  49152       conv4_block5_0_relu[0][0]        
    __________________________________________________________________________________________________
    conv4_block5_1_bn (BatchNormali (None, 32, 32, 128)  512         conv4_block5_1_conv[0][0]        
    __________________________________________________________________________________________________
    conv4_block5_1_relu (Activation (None, 32, 32, 128)  0           conv4_block5_1_bn[0][0]          
    __________________________________________________________________________________________________
    conv4_block5_2_conv (Conv2D)    (None, 32, 32, 32)   36864       conv4_block5_1_relu[0][0]        
    __________________________________________________________________________________________________
    conv4_block5_concat (Concatenat (None, 32, 32, 416)  0           conv4_block4_concat[0][0]        
                                                                     conv4_block5_2_conv[0][0]        
    __________________________________________________________________________________________________
    conv4_block6_0_bn (BatchNormali (None, 32, 32, 416)  1664        conv4_block5_concat[0][0]        
    __________________________________________________________________________________________________
    conv4_block6_0_relu (Activation (None, 32, 32, 416)  0           conv4_block6_0_bn[0][0]          
    __________________________________________________________________________________________________
    conv4_block6_1_conv (Conv2D)    (None, 32, 32, 128)  53248       conv4_block6_0_relu[0][0]        
    __________________________________________________________________________________________________
    conv4_block6_1_bn (BatchNormali (None, 32, 32, 128)  512         conv4_block6_1_conv[0][0]        
    __________________________________________________________________________________________________
    conv4_block6_1_relu (Activation (None, 32, 32, 128)  0           conv4_block6_1_bn[0][0]          
    __________________________________________________________________________________________________
    conv4_block6_2_conv (Conv2D)    (None, 32, 32, 32)   36864       conv4_block6_1_relu[0][0]        
    __________________________________________________________________________________________________
    conv4_block6_concat (Concatenat (None, 32, 32, 448)  0           conv4_block5_concat[0][0]        
                                                                     conv4_block6_2_conv[0][0]        
    __________________________________________________________________________________________________
    conv4_block7_0_bn (BatchNormali (None, 32, 32, 448)  1792        conv4_block6_concat[0][0]        
    __________________________________________________________________________________________________
    conv4_block7_0_relu (Activation (None, 32, 32, 448)  0           conv4_block7_0_bn[0][0]          
    __________________________________________________________________________________________________
    conv4_block7_1_conv (Conv2D)    (None, 32, 32, 128)  57344       conv4_block7_0_relu[0][0]        
    __________________________________________________________________________________________________
    conv4_block7_1_bn (BatchNormali (None, 32, 32, 128)  512         conv4_block7_1_conv[0][0]        
    __________________________________________________________________________________________________
    conv4_block7_1_relu (Activation (None, 32, 32, 128)  0           conv4_block7_1_bn[0][0]          
    __________________________________________________________________________________________________
    conv4_block7_2_conv (Conv2D)    (None, 32, 32, 32)   36864       conv4_block7_1_relu[0][0]        
    __________________________________________________________________________________________________
    conv4_block7_concat (Concatenat (None, 32, 32, 480)  0           conv4_block6_concat[0][0]        
                                                                     conv4_block7_2_conv[0][0]        
    __________________________________________________________________________________________________
    conv4_block8_0_bn (BatchNormali (None, 32, 32, 480)  1920        conv4_block7_concat[0][0]        
    __________________________________________________________________________________________________
    conv4_block8_0_relu (Activation (None, 32, 32, 480)  0           conv4_block8_0_bn[0][0]          
    __________________________________________________________________________________________________
    conv4_block8_1_conv (Conv2D)    (None, 32, 32, 128)  61440       conv4_block8_0_relu[0][0]        
    __________________________________________________________________________________________________
    conv4_block8_1_bn (BatchNormali (None, 32, 32, 128)  512         conv4_block8_1_conv[0][0]        
    __________________________________________________________________________________________________
    conv4_block8_1_relu (Activation (None, 32, 32, 128)  0           conv4_block8_1_bn[0][0]          
    __________________________________________________________________________________________________
    conv4_block8_2_conv (Conv2D)    (None, 32, 32, 32)   36864       conv4_block8_1_relu[0][0]        
    __________________________________________________________________________________________________
    conv4_block8_concat (Concatenat (None, 32, 32, 512)  0           conv4_block7_concat[0][0]        
                                                                     conv4_block8_2_conv[0][0]        
    __________________________________________________________________________________________________
    conv4_block9_0_bn (BatchNormali (None, 32, 32, 512)  2048        conv4_block8_concat[0][0]        
    __________________________________________________________________________________________________
    conv4_block9_0_relu (Activation (None, 32, 32, 512)  0           conv4_block9_0_bn[0][0]          
    __________________________________________________________________________________________________
    conv4_block9_1_conv (Conv2D)    (None, 32, 32, 128)  65536       conv4_block9_0_relu[0][0]        
    __________________________________________________________________________________________________
    conv4_block9_1_bn (BatchNormali (None, 32, 32, 128)  512         conv4_block9_1_conv[0][0]        
    __________________________________________________________________________________________________
    conv4_block9_1_relu (Activation (None, 32, 32, 128)  0           conv4_block9_1_bn[0][0]          
    __________________________________________________________________________________________________
    conv4_block9_2_conv (Conv2D)    (None, 32, 32, 32)   36864       conv4_block9_1_relu[0][0]        
    __________________________________________________________________________________________________
    conv4_block9_concat (Concatenat (None, 32, 32, 544)  0           conv4_block8_concat[0][0]        
                                                                     conv4_block9_2_conv[0][0]        
    __________________________________________________________________________________________________
    conv4_block10_0_bn (BatchNormal (None, 32, 32, 544)  2176        conv4_block9_concat[0][0]        
    __________________________________________________________________________________________________
    conv4_block10_0_relu (Activatio (None, 32, 32, 544)  0           conv4_block10_0_bn[0][0]         
    __________________________________________________________________________________________________
    conv4_block10_1_conv (Conv2D)   (None, 32, 32, 128)  69632       conv4_block10_0_relu[0][0]       
    __________________________________________________________________________________________________
    conv4_block10_1_bn (BatchNormal (None, 32, 32, 128)  512         conv4_block10_1_conv[0][0]       
    __________________________________________________________________________________________________
    conv4_block10_1_relu (Activatio (None, 32, 32, 128)  0           conv4_block10_1_bn[0][0]         
    __________________________________________________________________________________________________
    conv4_block10_2_conv (Conv2D)   (None, 32, 32, 32)   36864       conv4_block10_1_relu[0][0]       
    __________________________________________________________________________________________________
    conv4_block10_concat (Concatena (None, 32, 32, 576)  0           conv4_block9_concat[0][0]        
                                                                     conv4_block10_2_conv[0][0]       
    __________________________________________________________________________________________________
    conv4_block11_0_bn (BatchNormal (None, 32, 32, 576)  2304        conv4_block10_concat[0][0]       
    __________________________________________________________________________________________________
    conv4_block11_0_relu (Activatio (None, 32, 32, 576)  0           conv4_block11_0_bn[0][0]         
    __________________________________________________________________________________________________
    conv4_block11_1_conv (Conv2D)   (None, 32, 32, 128)  73728       conv4_block11_0_relu[0][0]       
    __________________________________________________________________________________________________
    conv4_block11_1_bn (BatchNormal (None, 32, 32, 128)  512         conv4_block11_1_conv[0][0]       
    __________________________________________________________________________________________________
    conv4_block11_1_relu (Activatio (None, 32, 32, 128)  0           conv4_block11_1_bn[0][0]         
    __________________________________________________________________________________________________
    conv4_block11_2_conv (Conv2D)   (None, 32, 32, 32)   36864       conv4_block11_1_relu[0][0]       
    __________________________________________________________________________________________________
    conv4_block11_concat (Concatena (None, 32, 32, 608)  0           conv4_block10_concat[0][0]       
                                                                     conv4_block11_2_conv[0][0]       
    __________________________________________________________________________________________________
    conv4_block12_0_bn (BatchNormal (None, 32, 32, 608)  2432        conv4_block11_concat[0][0]       
    __________________________________________________________________________________________________
    conv4_block12_0_relu (Activatio (None, 32, 32, 608)  0           conv4_block12_0_bn[0][0]         
    __________________________________________________________________________________________________
    conv4_block12_1_conv (Conv2D)   (None, 32, 32, 128)  77824       conv4_block12_0_relu[0][0]       
    __________________________________________________________________________________________________
    conv4_block12_1_bn (BatchNormal (None, 32, 32, 128)  512         conv4_block12_1_conv[0][0]       
    __________________________________________________________________________________________________
    conv4_block12_1_relu (Activatio (None, 32, 32, 128)  0           conv4_block12_1_bn[0][0]         
    __________________________________________________________________________________________________
    conv4_block12_2_conv (Conv2D)   (None, 32, 32, 32)   36864       conv4_block12_1_relu[0][0]       
    __________________________________________________________________________________________________
    conv4_block12_concat (Concatena (None, 32, 32, 640)  0           conv4_block11_concat[0][0]       
                                                                     conv4_block12_2_conv[0][0]       
    __________________________________________________________________________________________________
    conv4_block13_0_bn (BatchNormal (None, 32, 32, 640)  2560        conv4_block12_concat[0][0]       
    __________________________________________________________________________________________________
    conv4_block13_0_relu (Activatio (None, 32, 32, 640)  0           conv4_block13_0_bn[0][0]         
    __________________________________________________________________________________________________
    conv4_block13_1_conv (Conv2D)   (None, 32, 32, 128)  81920       conv4_block13_0_relu[0][0]       
    __________________________________________________________________________________________________
    conv4_block13_1_bn (BatchNormal (None, 32, 32, 128)  512         conv4_block13_1_conv[0][0]       
    __________________________________________________________________________________________________
    conv4_block13_1_relu (Activatio (None, 32, 32, 128)  0           conv4_block13_1_bn[0][0]         
    __________________________________________________________________________________________________
    conv4_block13_2_conv (Conv2D)   (None, 32, 32, 32)   36864       conv4_block13_1_relu[0][0]       
    __________________________________________________________________________________________________
    conv4_block13_concat (Concatena (None, 32, 32, 672)  0           conv4_block12_concat[0][0]       
                                                                     conv4_block13_2_conv[0][0]       
    __________________________________________________________________________________________________
    conv4_block14_0_bn (BatchNormal (None, 32, 32, 672)  2688        conv4_block13_concat[0][0]       
    __________________________________________________________________________________________________
    conv4_block14_0_relu (Activatio (None, 32, 32, 672)  0           conv4_block14_0_bn[0][0]         
    __________________________________________________________________________________________________
    conv4_block14_1_conv (Conv2D)   (None, 32, 32, 128)  86016       conv4_block14_0_relu[0][0]       
    __________________________________________________________________________________________________
    conv4_block14_1_bn (BatchNormal (None, 32, 32, 128)  512         conv4_block14_1_conv[0][0]       
    __________________________________________________________________________________________________
    conv4_block14_1_relu (Activatio (None, 32, 32, 128)  0           conv4_block14_1_bn[0][0]         
    __________________________________________________________________________________________________
    conv4_block14_2_conv (Conv2D)   (None, 32, 32, 32)   36864       conv4_block14_1_relu[0][0]       
    __________________________________________________________________________________________________
    conv4_block14_concat (Concatena (None, 32, 32, 704)  0           conv4_block13_concat[0][0]       
                                                                     conv4_block14_2_conv[0][0]       
    __________________________________________________________________________________________________
    conv4_block15_0_bn (BatchNormal (None, 32, 32, 704)  2816        conv4_block14_concat[0][0]       
    __________________________________________________________________________________________________
    conv4_block15_0_relu (Activatio (None, 32, 32, 704)  0           conv4_block15_0_bn[0][0]         
    __________________________________________________________________________________________________
    conv4_block15_1_conv (Conv2D)   (None, 32, 32, 128)  90112       conv4_block15_0_relu[0][0]       
    __________________________________________________________________________________________________
    conv4_block15_1_bn (BatchNormal (None, 32, 32, 128)  512         conv4_block15_1_conv[0][0]       
    __________________________________________________________________________________________________
    conv4_block15_1_relu (Activatio (None, 32, 32, 128)  0           conv4_block15_1_bn[0][0]         
    __________________________________________________________________________________________________
    conv4_block15_2_conv (Conv2D)   (None, 32, 32, 32)   36864       conv4_block15_1_relu[0][0]       
    __________________________________________________________________________________________________
    conv4_block15_concat (Concatena (None, 32, 32, 736)  0           conv4_block14_concat[0][0]       
                                                                     conv4_block15_2_conv[0][0]       
    __________________________________________________________________________________________________
    conv4_block16_0_bn (BatchNormal (None, 32, 32, 736)  2944        conv4_block15_concat[0][0]       
    __________________________________________________________________________________________________
    conv4_block16_0_relu (Activatio (None, 32, 32, 736)  0           conv4_block16_0_bn[0][0]         
    __________________________________________________________________________________________________
    conv4_block16_1_conv (Conv2D)   (None, 32, 32, 128)  94208       conv4_block16_0_relu[0][0]       
    __________________________________________________________________________________________________
    conv4_block16_1_bn (BatchNormal (None, 32, 32, 128)  512         conv4_block16_1_conv[0][0]       
    __________________________________________________________________________________________________
    conv4_block16_1_relu (Activatio (None, 32, 32, 128)  0           conv4_block16_1_bn[0][0]         
    __________________________________________________________________________________________________
    conv4_block16_2_conv (Conv2D)   (None, 32, 32, 32)   36864       conv4_block16_1_relu[0][0]       
    __________________________________________________________________________________________________
    conv4_block16_concat (Concatena (None, 32, 32, 768)  0           conv4_block15_concat[0][0]       
                                                                     conv4_block16_2_conv[0][0]       
    __________________________________________________________________________________________________
    conv4_block17_0_bn (BatchNormal (None, 32, 32, 768)  3072        conv4_block16_concat[0][0]       
    __________________________________________________________________________________________________
    conv4_block17_0_relu (Activatio (None, 32, 32, 768)  0           conv4_block17_0_bn[0][0]         
    __________________________________________________________________________________________________
    conv4_block17_1_conv (Conv2D)   (None, 32, 32, 128)  98304       conv4_block17_0_relu[0][0]       
    __________________________________________________________________________________________________
    conv4_block17_1_bn (BatchNormal (None, 32, 32, 128)  512         conv4_block17_1_conv[0][0]       
    __________________________________________________________________________________________________
    conv4_block17_1_relu (Activatio (None, 32, 32, 128)  0           conv4_block17_1_bn[0][0]         
    __________________________________________________________________________________________________
    conv4_block17_2_conv (Conv2D)   (None, 32, 32, 32)   36864       conv4_block17_1_relu[0][0]       
    __________________________________________________________________________________________________
    conv4_block17_concat (Concatena (None, 32, 32, 800)  0           conv4_block16_concat[0][0]       
                                                                     conv4_block17_2_conv[0][0]       
    __________________________________________________________________________________________________
    conv4_block18_0_bn (BatchNormal (None, 32, 32, 800)  3200        conv4_block17_concat[0][0]       
    __________________________________________________________________________________________________
    conv4_block18_0_relu (Activatio (None, 32, 32, 800)  0           conv4_block18_0_bn[0][0]         
    __________________________________________________________________________________________________
    conv4_block18_1_conv (Conv2D)   (None, 32, 32, 128)  102400      conv4_block18_0_relu[0][0]       
    __________________________________________________________________________________________________
    conv4_block18_1_bn (BatchNormal (None, 32, 32, 128)  512         conv4_block18_1_conv[0][0]       
    __________________________________________________________________________________________________
    conv4_block18_1_relu (Activatio (None, 32, 32, 128)  0           conv4_block18_1_bn[0][0]         
    __________________________________________________________________________________________________
    conv4_block18_2_conv (Conv2D)   (None, 32, 32, 32)   36864       conv4_block18_1_relu[0][0]       
    __________________________________________________________________________________________________
    conv4_block18_concat (Concatena (None, 32, 32, 832)  0           conv4_block17_concat[0][0]       
                                                                     conv4_block18_2_conv[0][0]       
    __________________________________________________________________________________________________
    conv4_block19_0_bn (BatchNormal (None, 32, 32, 832)  3328        conv4_block18_concat[0][0]       
    __________________________________________________________________________________________________
    conv4_block19_0_relu (Activatio (None, 32, 32, 832)  0           conv4_block19_0_bn[0][0]         
    __________________________________________________________________________________________________
    conv4_block19_1_conv (Conv2D)   (None, 32, 32, 128)  106496      conv4_block19_0_relu[0][0]       
    __________________________________________________________________________________________________
    conv4_block19_1_bn (BatchNormal (None, 32, 32, 128)  512         conv4_block19_1_conv[0][0]       
    __________________________________________________________________________________________________
    conv4_block19_1_relu (Activatio (None, 32, 32, 128)  0           conv4_block19_1_bn[0][0]         
    __________________________________________________________________________________________________
    conv4_block19_2_conv (Conv2D)   (None, 32, 32, 32)   36864       conv4_block19_1_relu[0][0]       
    __________________________________________________________________________________________________
    conv4_block19_concat (Concatena (None, 32, 32, 864)  0           conv4_block18_concat[0][0]       
                                                                     conv4_block19_2_conv[0][0]       
    __________________________________________________________________________________________________
    conv4_block20_0_bn (BatchNormal (None, 32, 32, 864)  3456        conv4_block19_concat[0][0]       
    __________________________________________________________________________________________________
    conv4_block20_0_relu (Activatio (None, 32, 32, 864)  0           conv4_block20_0_bn[0][0]         
    __________________________________________________________________________________________________
    conv4_block20_1_conv (Conv2D)   (None, 32, 32, 128)  110592      conv4_block20_0_relu[0][0]       
    __________________________________________________________________________________________________
    conv4_block20_1_bn (BatchNormal (None, 32, 32, 128)  512         conv4_block20_1_conv[0][0]       
    __________________________________________________________________________________________________
    conv4_block20_1_relu (Activatio (None, 32, 32, 128)  0           conv4_block20_1_bn[0][0]         
    __________________________________________________________________________________________________
    conv4_block20_2_conv (Conv2D)   (None, 32, 32, 32)   36864       conv4_block20_1_relu[0][0]       
    __________________________________________________________________________________________________
    conv4_block20_concat (Concatena (None, 32, 32, 896)  0           conv4_block19_concat[0][0]       
                                                                     conv4_block20_2_conv[0][0]       
    __________________________________________________________________________________________________
    conv4_block21_0_bn (BatchNormal (None, 32, 32, 896)  3584        conv4_block20_concat[0][0]       
    __________________________________________________________________________________________________
    conv4_block21_0_relu (Activatio (None, 32, 32, 896)  0           conv4_block21_0_bn[0][0]         
    __________________________________________________________________________________________________
    conv4_block21_1_conv (Conv2D)   (None, 32, 32, 128)  114688      conv4_block21_0_relu[0][0]       
    __________________________________________________________________________________________________
    conv4_block21_1_bn (BatchNormal (None, 32, 32, 128)  512         conv4_block21_1_conv[0][0]       
    __________________________________________________________________________________________________
    conv4_block21_1_relu (Activatio (None, 32, 32, 128)  0           conv4_block21_1_bn[0][0]         
    __________________________________________________________________________________________________
    conv4_block21_2_conv (Conv2D)   (None, 32, 32, 32)   36864       conv4_block21_1_relu[0][0]       
    __________________________________________________________________________________________________
    conv4_block21_concat (Concatena (None, 32, 32, 928)  0           conv4_block20_concat[0][0]       
                                                                     conv4_block21_2_conv[0][0]       
    __________________________________________________________________________________________________
    conv4_block22_0_bn (BatchNormal (None, 32, 32, 928)  3712        conv4_block21_concat[0][0]       
    __________________________________________________________________________________________________
    conv4_block22_0_relu (Activatio (None, 32, 32, 928)  0           conv4_block22_0_bn[0][0]         
    __________________________________________________________________________________________________
    conv4_block22_1_conv (Conv2D)   (None, 32, 32, 128)  118784      conv4_block22_0_relu[0][0]       
    __________________________________________________________________________________________________
    conv4_block22_1_bn (BatchNormal (None, 32, 32, 128)  512         conv4_block22_1_conv[0][0]       
    __________________________________________________________________________________________________
    conv4_block22_1_relu (Activatio (None, 32, 32, 128)  0           conv4_block22_1_bn[0][0]         
    __________________________________________________________________________________________________
    conv4_block22_2_conv (Conv2D)   (None, 32, 32, 32)   36864       conv4_block22_1_relu[0][0]       
    __________________________________________________________________________________________________
    conv4_block22_concat (Concatena (None, 32, 32, 960)  0           conv4_block21_concat[0][0]       
                                                                     conv4_block22_2_conv[0][0]       
    __________________________________________________________________________________________________
    conv4_block23_0_bn (BatchNormal (None, 32, 32, 960)  3840        conv4_block22_concat[0][0]       
    __________________________________________________________________________________________________
    conv4_block23_0_relu (Activatio (None, 32, 32, 960)  0           conv4_block23_0_bn[0][0]         
    __________________________________________________________________________________________________
    conv4_block23_1_conv (Conv2D)   (None, 32, 32, 128)  122880      conv4_block23_0_relu[0][0]       
    __________________________________________________________________________________________________
    conv4_block23_1_bn (BatchNormal (None, 32, 32, 128)  512         conv4_block23_1_conv[0][0]       
    __________________________________________________________________________________________________
    conv4_block23_1_relu (Activatio (None, 32, 32, 128)  0           conv4_block23_1_bn[0][0]         
    __________________________________________________________________________________________________
    conv4_block23_2_conv (Conv2D)   (None, 32, 32, 32)   36864       conv4_block23_1_relu[0][0]       
    __________________________________________________________________________________________________
    conv4_block23_concat (Concatena (None, 32, 32, 992)  0           conv4_block22_concat[0][0]       
                                                                     conv4_block23_2_conv[0][0]       
    __________________________________________________________________________________________________
    conv4_block24_0_bn (BatchNormal (None, 32, 32, 992)  3968        conv4_block23_concat[0][0]       
    __________________________________________________________________________________________________
    conv4_block24_0_relu (Activatio (None, 32, 32, 992)  0           conv4_block24_0_bn[0][0]         
    __________________________________________________________________________________________________
    conv4_block24_1_conv (Conv2D)   (None, 32, 32, 128)  126976      conv4_block24_0_relu[0][0]       
    __________________________________________________________________________________________________
    conv4_block24_1_bn (BatchNormal (None, 32, 32, 128)  512         conv4_block24_1_conv[0][0]       
    __________________________________________________________________________________________________
    conv4_block24_1_relu (Activatio (None, 32, 32, 128)  0           conv4_block24_1_bn[0][0]         
    __________________________________________________________________________________________________
    conv4_block24_2_conv (Conv2D)   (None, 32, 32, 32)   36864       conv4_block24_1_relu[0][0]       
    __________________________________________________________________________________________________
    conv4_block24_concat (Concatena (None, 32, 32, 1024) 0           conv4_block23_concat[0][0]       
                                                                     conv4_block24_2_conv[0][0]       
    __________________________________________________________________________________________________
    conv4_block25_0_bn (BatchNormal (None, 32, 32, 1024) 4096        conv4_block24_concat[0][0]       
    __________________________________________________________________________________________________
    conv4_block25_0_relu (Activatio (None, 32, 32, 1024) 0           conv4_block25_0_bn[0][0]         
    __________________________________________________________________________________________________
    conv4_block25_1_conv (Conv2D)   (None, 32, 32, 128)  131072      conv4_block25_0_relu[0][0]       
    __________________________________________________________________________________________________
    conv4_block25_1_bn (BatchNormal (None, 32, 32, 128)  512         conv4_block25_1_conv[0][0]       
    __________________________________________________________________________________________________
    conv4_block25_1_relu (Activatio (None, 32, 32, 128)  0           conv4_block25_1_bn[0][0]         
    __________________________________________________________________________________________________
    conv4_block25_2_conv (Conv2D)   (None, 32, 32, 32)   36864       conv4_block25_1_relu[0][0]       
    __________________________________________________________________________________________________
    conv4_block25_concat (Concatena (None, 32, 32, 1056) 0           conv4_block24_concat[0][0]       
                                                                     conv4_block25_2_conv[0][0]       
    __________________________________________________________________________________________________
    conv4_block26_0_bn (BatchNormal (None, 32, 32, 1056) 4224        conv4_block25_concat[0][0]       
    __________________________________________________________________________________________________
    conv4_block26_0_relu (Activatio (None, 32, 32, 1056) 0           conv4_block26_0_bn[0][0]         
    __________________________________________________________________________________________________
    conv4_block26_1_conv (Conv2D)   (None, 32, 32, 128)  135168      conv4_block26_0_relu[0][0]       
    __________________________________________________________________________________________________
    conv4_block26_1_bn (BatchNormal (None, 32, 32, 128)  512         conv4_block26_1_conv[0][0]       
    __________________________________________________________________________________________________
    conv4_block26_1_relu (Activatio (None, 32, 32, 128)  0           conv4_block26_1_bn[0][0]         
    __________________________________________________________________________________________________
    conv4_block26_2_conv (Conv2D)   (None, 32, 32, 32)   36864       conv4_block26_1_relu[0][0]       
    __________________________________________________________________________________________________
    conv4_block26_concat (Concatena (None, 32, 32, 1088) 0           conv4_block25_concat[0][0]       
                                                                     conv4_block26_2_conv[0][0]       
    __________________________________________________________________________________________________
    conv4_block27_0_bn (BatchNormal (None, 32, 32, 1088) 4352        conv4_block26_concat[0][0]       
    __________________________________________________________________________________________________
    conv4_block27_0_relu (Activatio (None, 32, 32, 1088) 0           conv4_block27_0_bn[0][0]         
    __________________________________________________________________________________________________
    conv4_block27_1_conv (Conv2D)   (None, 32, 32, 128)  139264      conv4_block27_0_relu[0][0]       
    __________________________________________________________________________________________________
    conv4_block27_1_bn (BatchNormal (None, 32, 32, 128)  512         conv4_block27_1_conv[0][0]       
    __________________________________________________________________________________________________
    conv4_block27_1_relu (Activatio (None, 32, 32, 128)  0           conv4_block27_1_bn[0][0]         
    __________________________________________________________________________________________________
    conv4_block27_2_conv (Conv2D)   (None, 32, 32, 32)   36864       conv4_block27_1_relu[0][0]       
    __________________________________________________________________________________________________
    conv4_block27_concat (Concatena (None, 32, 32, 1120) 0           conv4_block26_concat[0][0]       
                                                                     conv4_block27_2_conv[0][0]       
    __________________________________________________________________________________________________
    conv4_block28_0_bn (BatchNormal (None, 32, 32, 1120) 4480        conv4_block27_concat[0][0]       
    __________________________________________________________________________________________________
    conv4_block28_0_relu (Activatio (None, 32, 32, 1120) 0           conv4_block28_0_bn[0][0]         
    __________________________________________________________________________________________________
    conv4_block28_1_conv (Conv2D)   (None, 32, 32, 128)  143360      conv4_block28_0_relu[0][0]       
    __________________________________________________________________________________________________
    conv4_block28_1_bn (BatchNormal (None, 32, 32, 128)  512         conv4_block28_1_conv[0][0]       
    __________________________________________________________________________________________________
    conv4_block28_1_relu (Activatio (None, 32, 32, 128)  0           conv4_block28_1_bn[0][0]         
    __________________________________________________________________________________________________
    conv4_block28_2_conv (Conv2D)   (None, 32, 32, 32)   36864       conv4_block28_1_relu[0][0]       
    __________________________________________________________________________________________________
    conv4_block28_concat (Concatena (None, 32, 32, 1152) 0           conv4_block27_concat[0][0]       
                                                                     conv4_block28_2_conv[0][0]       
    __________________________________________________________________________________________________
    conv4_block29_0_bn (BatchNormal (None, 32, 32, 1152) 4608        conv4_block28_concat[0][0]       
    __________________________________________________________________________________________________
    conv4_block29_0_relu (Activatio (None, 32, 32, 1152) 0           conv4_block29_0_bn[0][0]         
    __________________________________________________________________________________________________
    conv4_block29_1_conv (Conv2D)   (None, 32, 32, 128)  147456      conv4_block29_0_relu[0][0]       
    __________________________________________________________________________________________________
    conv4_block29_1_bn (BatchNormal (None, 32, 32, 128)  512         conv4_block29_1_conv[0][0]       
    __________________________________________________________________________________________________
    conv4_block29_1_relu (Activatio (None, 32, 32, 128)  0           conv4_block29_1_bn[0][0]         
    __________________________________________________________________________________________________
    conv4_block29_2_conv (Conv2D)   (None, 32, 32, 32)   36864       conv4_block29_1_relu[0][0]       
    __________________________________________________________________________________________________
    conv4_block29_concat (Concatena (None, 32, 32, 1184) 0           conv4_block28_concat[0][0]       
                                                                     conv4_block29_2_conv[0][0]       
    __________________________________________________________________________________________________
    conv4_block30_0_bn (BatchNormal (None, 32, 32, 1184) 4736        conv4_block29_concat[0][0]       
    __________________________________________________________________________________________________
    conv4_block30_0_relu (Activatio (None, 32, 32, 1184) 0           conv4_block30_0_bn[0][0]         
    __________________________________________________________________________________________________
    conv4_block30_1_conv (Conv2D)   (None, 32, 32, 128)  151552      conv4_block30_0_relu[0][0]       
    __________________________________________________________________________________________________
    conv4_block30_1_bn (BatchNormal (None, 32, 32, 128)  512         conv4_block30_1_conv[0][0]       
    __________________________________________________________________________________________________
    conv4_block30_1_relu (Activatio (None, 32, 32, 128)  0           conv4_block30_1_bn[0][0]         
    __________________________________________________________________________________________________
    conv4_block30_2_conv (Conv2D)   (None, 32, 32, 32)   36864       conv4_block30_1_relu[0][0]       
    __________________________________________________________________________________________________
    conv4_block30_concat (Concatena (None, 32, 32, 1216) 0           conv4_block29_concat[0][0]       
                                                                     conv4_block30_2_conv[0][0]       
    __________________________________________________________________________________________________
    conv4_block31_0_bn (BatchNormal (None, 32, 32, 1216) 4864        conv4_block30_concat[0][0]       
    __________________________________________________________________________________________________
    conv4_block31_0_relu (Activatio (None, 32, 32, 1216) 0           conv4_block31_0_bn[0][0]         
    __________________________________________________________________________________________________
    conv4_block31_1_conv (Conv2D)   (None, 32, 32, 128)  155648      conv4_block31_0_relu[0][0]       
    __________________________________________________________________________________________________
    conv4_block31_1_bn (BatchNormal (None, 32, 32, 128)  512         conv4_block31_1_conv[0][0]       
    __________________________________________________________________________________________________
    conv4_block31_1_relu (Activatio (None, 32, 32, 128)  0           conv4_block31_1_bn[0][0]         
    __________________________________________________________________________________________________
    conv4_block31_2_conv (Conv2D)   (None, 32, 32, 32)   36864       conv4_block31_1_relu[0][0]       
    __________________________________________________________________________________________________
    conv4_block31_concat (Concatena (None, 32, 32, 1248) 0           conv4_block30_concat[0][0]       
                                                                     conv4_block31_2_conv[0][0]       
    __________________________________________________________________________________________________
    conv4_block32_0_bn (BatchNormal (None, 32, 32, 1248) 4992        conv4_block31_concat[0][0]       
    __________________________________________________________________________________________________
    conv4_block32_0_relu (Activatio (None, 32, 32, 1248) 0           conv4_block32_0_bn[0][0]         
    __________________________________________________________________________________________________
    conv4_block32_1_conv (Conv2D)   (None, 32, 32, 128)  159744      conv4_block32_0_relu[0][0]       
    __________________________________________________________________________________________________
    conv4_block32_1_bn (BatchNormal (None, 32, 32, 128)  512         conv4_block32_1_conv[0][0]       
    __________________________________________________________________________________________________
    conv4_block32_1_relu (Activatio (None, 32, 32, 128)  0           conv4_block32_1_bn[0][0]         
    __________________________________________________________________________________________________
    conv4_block32_2_conv (Conv2D)   (None, 32, 32, 32)   36864       conv4_block32_1_relu[0][0]       
    __________________________________________________________________________________________________
    conv4_block32_concat (Concatena (None, 32, 32, 1280) 0           conv4_block31_concat[0][0]       
                                                                     conv4_block32_2_conv[0][0]       
    __________________________________________________________________________________________________
    conv4_block33_0_bn (BatchNormal (None, 32, 32, 1280) 5120        conv4_block32_concat[0][0]       
    __________________________________________________________________________________________________
    conv4_block33_0_relu (Activatio (None, 32, 32, 1280) 0           conv4_block33_0_bn[0][0]         
    __________________________________________________________________________________________________
    conv4_block33_1_conv (Conv2D)   (None, 32, 32, 128)  163840      conv4_block33_0_relu[0][0]       
    __________________________________________________________________________________________________
    conv4_block33_1_bn (BatchNormal (None, 32, 32, 128)  512         conv4_block33_1_conv[0][0]       
    __________________________________________________________________________________________________
    conv4_block33_1_relu (Activatio (None, 32, 32, 128)  0           conv4_block33_1_bn[0][0]         
    __________________________________________________________________________________________________
    conv4_block33_2_conv (Conv2D)   (None, 32, 32, 32)   36864       conv4_block33_1_relu[0][0]       
    __________________________________________________________________________________________________
    conv4_block33_concat (Concatena (None, 32, 32, 1312) 0           conv4_block32_concat[0][0]       
                                                                     conv4_block33_2_conv[0][0]       
    __________________________________________________________________________________________________
    conv4_block34_0_bn (BatchNormal (None, 32, 32, 1312) 5248        conv4_block33_concat[0][0]       
    __________________________________________________________________________________________________
    conv4_block34_0_relu (Activatio (None, 32, 32, 1312) 0           conv4_block34_0_bn[0][0]         
    __________________________________________________________________________________________________
    conv4_block34_1_conv (Conv2D)   (None, 32, 32, 128)  167936      conv4_block34_0_relu[0][0]       
    __________________________________________________________________________________________________
    conv4_block34_1_bn (BatchNormal (None, 32, 32, 128)  512         conv4_block34_1_conv[0][0]       
    __________________________________________________________________________________________________
    conv4_block34_1_relu (Activatio (None, 32, 32, 128)  0           conv4_block34_1_bn[0][0]         
    __________________________________________________________________________________________________
    conv4_block34_2_conv (Conv2D)   (None, 32, 32, 32)   36864       conv4_block34_1_relu[0][0]       
    __________________________________________________________________________________________________
    conv4_block34_concat (Concatena (None, 32, 32, 1344) 0           conv4_block33_concat[0][0]       
                                                                     conv4_block34_2_conv[0][0]       
    __________________________________________________________________________________________________
    conv4_block35_0_bn (BatchNormal (None, 32, 32, 1344) 5376        conv4_block34_concat[0][0]       
    __________________________________________________________________________________________________
    conv4_block35_0_relu (Activatio (None, 32, 32, 1344) 0           conv4_block35_0_bn[0][0]         
    __________________________________________________________________________________________________
    conv4_block35_1_conv (Conv2D)   (None, 32, 32, 128)  172032      conv4_block35_0_relu[0][0]       
    __________________________________________________________________________________________________
    conv4_block35_1_bn (BatchNormal (None, 32, 32, 128)  512         conv4_block35_1_conv[0][0]       
    __________________________________________________________________________________________________
    conv4_block35_1_relu (Activatio (None, 32, 32, 128)  0           conv4_block35_1_bn[0][0]         
    __________________________________________________________________________________________________
    conv4_block35_2_conv (Conv2D)   (None, 32, 32, 32)   36864       conv4_block35_1_relu[0][0]       
    __________________________________________________________________________________________________
    conv4_block35_concat (Concatena (None, 32, 32, 1376) 0           conv4_block34_concat[0][0]       
                                                                     conv4_block35_2_conv[0][0]       
    __________________________________________________________________________________________________
    conv4_block36_0_bn (BatchNormal (None, 32, 32, 1376) 5504        conv4_block35_concat[0][0]       
    __________________________________________________________________________________________________
    conv4_block36_0_relu (Activatio (None, 32, 32, 1376) 0           conv4_block36_0_bn[0][0]         
    __________________________________________________________________________________________________
    conv4_block36_1_conv (Conv2D)   (None, 32, 32, 128)  176128      conv4_block36_0_relu[0][0]       
    __________________________________________________________________________________________________
    conv4_block36_1_bn (BatchNormal (None, 32, 32, 128)  512         conv4_block36_1_conv[0][0]       
    __________________________________________________________________________________________________
    conv4_block36_1_relu (Activatio (None, 32, 32, 128)  0           conv4_block36_1_bn[0][0]         
    __________________________________________________________________________________________________
    conv4_block36_2_conv (Conv2D)   (None, 32, 32, 32)   36864       conv4_block36_1_relu[0][0]       
    __________________________________________________________________________________________________
    conv4_block36_concat (Concatena (None, 32, 32, 1408) 0           conv4_block35_concat[0][0]       
                                                                     conv4_block36_2_conv[0][0]       
    __________________________________________________________________________________________________
    conv4_block37_0_bn (BatchNormal (None, 32, 32, 1408) 5632        conv4_block36_concat[0][0]       
    __________________________________________________________________________________________________
    conv4_block37_0_relu (Activatio (None, 32, 32, 1408) 0           conv4_block37_0_bn[0][0]         
    __________________________________________________________________________________________________
    conv4_block37_1_conv (Conv2D)   (None, 32, 32, 128)  180224      conv4_block37_0_relu[0][0]       
    __________________________________________________________________________________________________
    conv4_block37_1_bn (BatchNormal (None, 32, 32, 128)  512         conv4_block37_1_conv[0][0]       
    __________________________________________________________________________________________________
    conv4_block37_1_relu (Activatio (None, 32, 32, 128)  0           conv4_block37_1_bn[0][0]         
    __________________________________________________________________________________________________
    conv4_block37_2_conv (Conv2D)   (None, 32, 32, 32)   36864       conv4_block37_1_relu[0][0]       
    __________________________________________________________________________________________________
    conv4_block37_concat (Concatena (None, 32, 32, 1440) 0           conv4_block36_concat[0][0]       
                                                                     conv4_block37_2_conv[0][0]       
    __________________________________________________________________________________________________
    conv4_block38_0_bn (BatchNormal (None, 32, 32, 1440) 5760        conv4_block37_concat[0][0]       
    __________________________________________________________________________________________________
    conv4_block38_0_relu (Activatio (None, 32, 32, 1440) 0           conv4_block38_0_bn[0][0]         
    __________________________________________________________________________________________________
    conv4_block38_1_conv (Conv2D)   (None, 32, 32, 128)  184320      conv4_block38_0_relu[0][0]       
    __________________________________________________________________________________________________
    conv4_block38_1_bn (BatchNormal (None, 32, 32, 128)  512         conv4_block38_1_conv[0][0]       
    __________________________________________________________________________________________________
    conv4_block38_1_relu (Activatio (None, 32, 32, 128)  0           conv4_block38_1_bn[0][0]         
    __________________________________________________________________________________________________
    conv4_block38_2_conv (Conv2D)   (None, 32, 32, 32)   36864       conv4_block38_1_relu[0][0]       
    __________________________________________________________________________________________________
    conv4_block38_concat (Concatena (None, 32, 32, 1472) 0           conv4_block37_concat[0][0]       
                                                                     conv4_block38_2_conv[0][0]       
    __________________________________________________________________________________________________
    conv4_block39_0_bn (BatchNormal (None, 32, 32, 1472) 5888        conv4_block38_concat[0][0]       
    __________________________________________________________________________________________________
    conv4_block39_0_relu (Activatio (None, 32, 32, 1472) 0           conv4_block39_0_bn[0][0]         
    __________________________________________________________________________________________________
    conv4_block39_1_conv (Conv2D)   (None, 32, 32, 128)  188416      conv4_block39_0_relu[0][0]       
    __________________________________________________________________________________________________
    conv4_block39_1_bn (BatchNormal (None, 32, 32, 128)  512         conv4_block39_1_conv[0][0]       
    __________________________________________________________________________________________________
    conv4_block39_1_relu (Activatio (None, 32, 32, 128)  0           conv4_block39_1_bn[0][0]         
    __________________________________________________________________________________________________
    conv4_block39_2_conv (Conv2D)   (None, 32, 32, 32)   36864       conv4_block39_1_relu[0][0]       
    __________________________________________________________________________________________________
    conv4_block39_concat (Concatena (None, 32, 32, 1504) 0           conv4_block38_concat[0][0]       
                                                                     conv4_block39_2_conv[0][0]       
    __________________________________________________________________________________________________
    conv4_block40_0_bn (BatchNormal (None, 32, 32, 1504) 6016        conv4_block39_concat[0][0]       
    __________________________________________________________________________________________________
    conv4_block40_0_relu (Activatio (None, 32, 32, 1504) 0           conv4_block40_0_bn[0][0]         
    __________________________________________________________________________________________________
    conv4_block40_1_conv (Conv2D)   (None, 32, 32, 128)  192512      conv4_block40_0_relu[0][0]       
    __________________________________________________________________________________________________
    conv4_block40_1_bn (BatchNormal (None, 32, 32, 128)  512         conv4_block40_1_conv[0][0]       
    __________________________________________________________________________________________________
    conv4_block40_1_relu (Activatio (None, 32, 32, 128)  0           conv4_block40_1_bn[0][0]         
    __________________________________________________________________________________________________
    conv4_block40_2_conv (Conv2D)   (None, 32, 32, 32)   36864       conv4_block40_1_relu[0][0]       
    __________________________________________________________________________________________________
    conv4_block40_concat (Concatena (None, 32, 32, 1536) 0           conv4_block39_concat[0][0]       
                                                                     conv4_block40_2_conv[0][0]       
    __________________________________________________________________________________________________
    conv4_block41_0_bn (BatchNormal (None, 32, 32, 1536) 6144        conv4_block40_concat[0][0]       
    __________________________________________________________________________________________________
    conv4_block41_0_relu (Activatio (None, 32, 32, 1536) 0           conv4_block41_0_bn[0][0]         
    __________________________________________________________________________________________________
    conv4_block41_1_conv (Conv2D)   (None, 32, 32, 128)  196608      conv4_block41_0_relu[0][0]       
    __________________________________________________________________________________________________
    conv4_block41_1_bn (BatchNormal (None, 32, 32, 128)  512         conv4_block41_1_conv[0][0]       
    __________________________________________________________________________________________________
    conv4_block41_1_relu (Activatio (None, 32, 32, 128)  0           conv4_block41_1_bn[0][0]         
    __________________________________________________________________________________________________
    conv4_block41_2_conv (Conv2D)   (None, 32, 32, 32)   36864       conv4_block41_1_relu[0][0]       
    __________________________________________________________________________________________________
    conv4_block41_concat (Concatena (None, 32, 32, 1568) 0           conv4_block40_concat[0][0]       
                                                                     conv4_block41_2_conv[0][0]       
    __________________________________________________________________________________________________
    conv4_block42_0_bn (BatchNormal (None, 32, 32, 1568) 6272        conv4_block41_concat[0][0]       
    __________________________________________________________________________________________________
    conv4_block42_0_relu (Activatio (None, 32, 32, 1568) 0           conv4_block42_0_bn[0][0]         
    __________________________________________________________________________________________________
    conv4_block42_1_conv (Conv2D)   (None, 32, 32, 128)  200704      conv4_block42_0_relu[0][0]       
    __________________________________________________________________________________________________
    conv4_block42_1_bn (BatchNormal (None, 32, 32, 128)  512         conv4_block42_1_conv[0][0]       
    __________________________________________________________________________________________________
    conv4_block42_1_relu (Activatio (None, 32, 32, 128)  0           conv4_block42_1_bn[0][0]         
    __________________________________________________________________________________________________
    conv4_block42_2_conv (Conv2D)   (None, 32, 32, 32)   36864       conv4_block42_1_relu[0][0]       
    __________________________________________________________________________________________________
    conv4_block42_concat (Concatena (None, 32, 32, 1600) 0           conv4_block41_concat[0][0]       
                                                                     conv4_block42_2_conv[0][0]       
    __________________________________________________________________________________________________
    conv4_block43_0_bn (BatchNormal (None, 32, 32, 1600) 6400        conv4_block42_concat[0][0]       
    __________________________________________________________________________________________________
    conv4_block43_0_relu (Activatio (None, 32, 32, 1600) 0           conv4_block43_0_bn[0][0]         
    __________________________________________________________________________________________________
    conv4_block43_1_conv (Conv2D)   (None, 32, 32, 128)  204800      conv4_block43_0_relu[0][0]       
    __________________________________________________________________________________________________
    conv4_block43_1_bn (BatchNormal (None, 32, 32, 128)  512         conv4_block43_1_conv[0][0]       
    __________________________________________________________________________________________________
    conv4_block43_1_relu (Activatio (None, 32, 32, 128)  0           conv4_block43_1_bn[0][0]         
    __________________________________________________________________________________________________
    conv4_block43_2_conv (Conv2D)   (None, 32, 32, 32)   36864       conv4_block43_1_relu[0][0]       
    __________________________________________________________________________________________________
    conv4_block43_concat (Concatena (None, 32, 32, 1632) 0           conv4_block42_concat[0][0]       
                                                                     conv4_block43_2_conv[0][0]       
    __________________________________________________________________________________________________
    conv4_block44_0_bn (BatchNormal (None, 32, 32, 1632) 6528        conv4_block43_concat[0][0]       
    __________________________________________________________________________________________________
    conv4_block44_0_relu (Activatio (None, 32, 32, 1632) 0           conv4_block44_0_bn[0][0]         
    __________________________________________________________________________________________________
    conv4_block44_1_conv (Conv2D)   (None, 32, 32, 128)  208896      conv4_block44_0_relu[0][0]       
    __________________________________________________________________________________________________
    conv4_block44_1_bn (BatchNormal (None, 32, 32, 128)  512         conv4_block44_1_conv[0][0]       
    __________________________________________________________________________________________________
    conv4_block44_1_relu (Activatio (None, 32, 32, 128)  0           conv4_block44_1_bn[0][0]         
    __________________________________________________________________________________________________
    conv4_block44_2_conv (Conv2D)   (None, 32, 32, 32)   36864       conv4_block44_1_relu[0][0]       
    __________________________________________________________________________________________________
    conv4_block44_concat (Concatena (None, 32, 32, 1664) 0           conv4_block43_concat[0][0]       
                                                                     conv4_block44_2_conv[0][0]       
    __________________________________________________________________________________________________
    conv4_block45_0_bn (BatchNormal (None, 32, 32, 1664) 6656        conv4_block44_concat[0][0]       
    __________________________________________________________________________________________________
    conv4_block45_0_relu (Activatio (None, 32, 32, 1664) 0           conv4_block45_0_bn[0][0]         
    __________________________________________________________________________________________________
    conv4_block45_1_conv (Conv2D)   (None, 32, 32, 128)  212992      conv4_block45_0_relu[0][0]       
    __________________________________________________________________________________________________
    conv4_block45_1_bn (BatchNormal (None, 32, 32, 128)  512         conv4_block45_1_conv[0][0]       
    __________________________________________________________________________________________________
    conv4_block45_1_relu (Activatio (None, 32, 32, 128)  0           conv4_block45_1_bn[0][0]         
    __________________________________________________________________________________________________
    conv4_block45_2_conv (Conv2D)   (None, 32, 32, 32)   36864       conv4_block45_1_relu[0][0]       
    __________________________________________________________________________________________________
    conv4_block45_concat (Concatena (None, 32, 32, 1696) 0           conv4_block44_concat[0][0]       
                                                                     conv4_block45_2_conv[0][0]       
    __________________________________________________________________________________________________
    conv4_block46_0_bn (BatchNormal (None, 32, 32, 1696) 6784        conv4_block45_concat[0][0]       
    __________________________________________________________________________________________________
    conv4_block46_0_relu (Activatio (None, 32, 32, 1696) 0           conv4_block46_0_bn[0][0]         
    __________________________________________________________________________________________________
    conv4_block46_1_conv (Conv2D)   (None, 32, 32, 128)  217088      conv4_block46_0_relu[0][0]       
    __________________________________________________________________________________________________
    conv4_block46_1_bn (BatchNormal (None, 32, 32, 128)  512         conv4_block46_1_conv[0][0]       
    __________________________________________________________________________________________________
    conv4_block46_1_relu (Activatio (None, 32, 32, 128)  0           conv4_block46_1_bn[0][0]         
    __________________________________________________________________________________________________
    conv4_block46_2_conv (Conv2D)   (None, 32, 32, 32)   36864       conv4_block46_1_relu[0][0]       
    __________________________________________________________________________________________________
    conv4_block46_concat (Concatena (None, 32, 32, 1728) 0           conv4_block45_concat[0][0]       
                                                                     conv4_block46_2_conv[0][0]       
    __________________________________________________________________________________________________
    conv4_block47_0_bn (BatchNormal (None, 32, 32, 1728) 6912        conv4_block46_concat[0][0]       
    __________________________________________________________________________________________________
    conv4_block47_0_relu (Activatio (None, 32, 32, 1728) 0           conv4_block47_0_bn[0][0]         
    __________________________________________________________________________________________________
    conv4_block47_1_conv (Conv2D)   (None, 32, 32, 128)  221184      conv4_block47_0_relu[0][0]       
    __________________________________________________________________________________________________
    conv4_block47_1_bn (BatchNormal (None, 32, 32, 128)  512         conv4_block47_1_conv[0][0]       
    __________________________________________________________________________________________________
    conv4_block47_1_relu (Activatio (None, 32, 32, 128)  0           conv4_block47_1_bn[0][0]         
    __________________________________________________________________________________________________
    conv4_block47_2_conv (Conv2D)   (None, 32, 32, 32)   36864       conv4_block47_1_relu[0][0]       
    __________________________________________________________________________________________________
    conv4_block47_concat (Concatena (None, 32, 32, 1760) 0           conv4_block46_concat[0][0]       
                                                                     conv4_block47_2_conv[0][0]       
    __________________________________________________________________________________________________
    conv4_block48_0_bn (BatchNormal (None, 32, 32, 1760) 7040        conv4_block47_concat[0][0]       
    __________________________________________________________________________________________________
    conv4_block48_0_relu (Activatio (None, 32, 32, 1760) 0           conv4_block48_0_bn[0][0]         
    __________________________________________________________________________________________________
    conv4_block48_1_conv (Conv2D)   (None, 32, 32, 128)  225280      conv4_block48_0_relu[0][0]       
    __________________________________________________________________________________________________
    conv4_block48_1_bn (BatchNormal (None, 32, 32, 128)  512         conv4_block48_1_conv[0][0]       
    __________________________________________________________________________________________________
    conv4_block48_1_relu (Activatio (None, 32, 32, 128)  0           conv4_block48_1_bn[0][0]         
    __________________________________________________________________________________________________
    conv4_block48_2_conv (Conv2D)   (None, 32, 32, 32)   36864       conv4_block48_1_relu[0][0]       
    __________________________________________________________________________________________________
    conv4_block48_concat (Concatena (None, 32, 32, 1792) 0           conv4_block47_concat[0][0]       
                                                                     conv4_block48_2_conv[0][0]       
    __________________________________________________________________________________________________
    pool4_bn (BatchNormalization)   (None, 32, 32, 1792) 7168        conv4_block48_concat[0][0]       
    __________________________________________________________________________________________________
    pool4_relu (Activation)         (None, 32, 32, 1792) 0           pool4_bn[0][0]                   
    __________________________________________________________________________________________________
    pool4_conv (Conv2D)             (None, 32, 32, 896)  1605632     pool4_relu[0][0]                 
    __________________________________________________________________________________________________
    pool4_pool (AveragePooling2D)   (None, 16, 16, 896)  0           pool4_conv[0][0]                 
    __________________________________________________________________________________________________
    conv5_block1_0_bn (BatchNormali (None, 16, 16, 896)  3584        pool4_pool[0][0]                 
    __________________________________________________________________________________________________
    conv5_block1_0_relu (Activation (None, 16, 16, 896)  0           conv5_block1_0_bn[0][0]          
    __________________________________________________________________________________________________
    conv5_block1_1_conv (Conv2D)    (None, 16, 16, 128)  114688      conv5_block1_0_relu[0][0]        
    __________________________________________________________________________________________________
    conv5_block1_1_bn (BatchNormali (None, 16, 16, 128)  512         conv5_block1_1_conv[0][0]        
    __________________________________________________________________________________________________
    conv5_block1_1_relu (Activation (None, 16, 16, 128)  0           conv5_block1_1_bn[0][0]          
    __________________________________________________________________________________________________
    conv5_block1_2_conv (Conv2D)    (None, 16, 16, 32)   36864       conv5_block1_1_relu[0][0]        
    __________________________________________________________________________________________________
    conv5_block1_concat (Concatenat (None, 16, 16, 928)  0           pool4_pool[0][0]                 
                                                                     conv5_block1_2_conv[0][0]        
    __________________________________________________________________________________________________
    conv5_block2_0_bn (BatchNormali (None, 16, 16, 928)  3712        conv5_block1_concat[0][0]        
    __________________________________________________________________________________________________
    conv5_block2_0_relu (Activation (None, 16, 16, 928)  0           conv5_block2_0_bn[0][0]          
    __________________________________________________________________________________________________
    conv5_block2_1_conv (Conv2D)    (None, 16, 16, 128)  118784      conv5_block2_0_relu[0][0]        
    __________________________________________________________________________________________________
    conv5_block2_1_bn (BatchNormali (None, 16, 16, 128)  512         conv5_block2_1_conv[0][0]        
    __________________________________________________________________________________________________
    conv5_block2_1_relu (Activation (None, 16, 16, 128)  0           conv5_block2_1_bn[0][0]          
    __________________________________________________________________________________________________
    conv5_block2_2_conv (Conv2D)    (None, 16, 16, 32)   36864       conv5_block2_1_relu[0][0]        
    __________________________________________________________________________________________________
    conv5_block2_concat (Concatenat (None, 16, 16, 960)  0           conv5_block1_concat[0][0]        
                                                                     conv5_block2_2_conv[0][0]        
    __________________________________________________________________________________________________
    conv5_block3_0_bn (BatchNormali (None, 16, 16, 960)  3840        conv5_block2_concat[0][0]        
    __________________________________________________________________________________________________
    conv5_block3_0_relu (Activation (None, 16, 16, 960)  0           conv5_block3_0_bn[0][0]          
    __________________________________________________________________________________________________
    conv5_block3_1_conv (Conv2D)    (None, 16, 16, 128)  122880      conv5_block3_0_relu[0][0]        
    __________________________________________________________________________________________________
    conv5_block3_1_bn (BatchNormali (None, 16, 16, 128)  512         conv5_block3_1_conv[0][0]        
    __________________________________________________________________________________________________
    conv5_block3_1_relu (Activation (None, 16, 16, 128)  0           conv5_block3_1_bn[0][0]          
    __________________________________________________________________________________________________
    conv5_block3_2_conv (Conv2D)    (None, 16, 16, 32)   36864       conv5_block3_1_relu[0][0]        
    __________________________________________________________________________________________________
    conv5_block3_concat (Concatenat (None, 16, 16, 992)  0           conv5_block2_concat[0][0]        
                                                                     conv5_block3_2_conv[0][0]        
    __________________________________________________________________________________________________
    conv5_block4_0_bn (BatchNormali (None, 16, 16, 992)  3968        conv5_block3_concat[0][0]        
    __________________________________________________________________________________________________
    conv5_block4_0_relu (Activation (None, 16, 16, 992)  0           conv5_block4_0_bn[0][0]          
    __________________________________________________________________________________________________
    conv5_block4_1_conv (Conv2D)    (None, 16, 16, 128)  126976      conv5_block4_0_relu[0][0]        
    __________________________________________________________________________________________________
    conv5_block4_1_bn (BatchNormali (None, 16, 16, 128)  512         conv5_block4_1_conv[0][0]        
    __________________________________________________________________________________________________
    conv5_block4_1_relu (Activation (None, 16, 16, 128)  0           conv5_block4_1_bn[0][0]          
    __________________________________________________________________________________________________
    conv5_block4_2_conv (Conv2D)    (None, 16, 16, 32)   36864       conv5_block4_1_relu[0][0]        
    __________________________________________________________________________________________________
    conv5_block4_concat (Concatenat (None, 16, 16, 1024) 0           conv5_block3_concat[0][0]        
                                                                     conv5_block4_2_conv[0][0]        
    __________________________________________________________________________________________________
    conv5_block5_0_bn (BatchNormali (None, 16, 16, 1024) 4096        conv5_block4_concat[0][0]        
    __________________________________________________________________________________________________
    conv5_block5_0_relu (Activation (None, 16, 16, 1024) 0           conv5_block5_0_bn[0][0]          
    __________________________________________________________________________________________________
    conv5_block5_1_conv (Conv2D)    (None, 16, 16, 128)  131072      conv5_block5_0_relu[0][0]        
    __________________________________________________________________________________________________
    conv5_block5_1_bn (BatchNormali (None, 16, 16, 128)  512         conv5_block5_1_conv[0][0]        
    __________________________________________________________________________________________________
    conv5_block5_1_relu (Activation (None, 16, 16, 128)  0           conv5_block5_1_bn[0][0]          
    __________________________________________________________________________________________________
    conv5_block5_2_conv (Conv2D)    (None, 16, 16, 32)   36864       conv5_block5_1_relu[0][0]        
    __________________________________________________________________________________________________
    conv5_block5_concat (Concatenat (None, 16, 16, 1056) 0           conv5_block4_concat[0][0]        
                                                                     conv5_block5_2_conv[0][0]        
    __________________________________________________________________________________________________
    conv5_block6_0_bn (BatchNormali (None, 16, 16, 1056) 4224        conv5_block5_concat[0][0]        
    __________________________________________________________________________________________________
    conv5_block6_0_relu (Activation (None, 16, 16, 1056) 0           conv5_block6_0_bn[0][0]          
    __________________________________________________________________________________________________
    conv5_block6_1_conv (Conv2D)    (None, 16, 16, 128)  135168      conv5_block6_0_relu[0][0]        
    __________________________________________________________________________________________________
    conv5_block6_1_bn (BatchNormali (None, 16, 16, 128)  512         conv5_block6_1_conv[0][0]        
    __________________________________________________________________________________________________
    conv5_block6_1_relu (Activation (None, 16, 16, 128)  0           conv5_block6_1_bn[0][0]          
    __________________________________________________________________________________________________
    conv5_block6_2_conv (Conv2D)    (None, 16, 16, 32)   36864       conv5_block6_1_relu[0][0]        
    __________________________________________________________________________________________________
    conv5_block6_concat (Concatenat (None, 16, 16, 1088) 0           conv5_block5_concat[0][0]        
                                                                     conv5_block6_2_conv[0][0]        
    __________________________________________________________________________________________________
    conv5_block7_0_bn (BatchNormali (None, 16, 16, 1088) 4352        conv5_block6_concat[0][0]        
    __________________________________________________________________________________________________
    conv5_block7_0_relu (Activation (None, 16, 16, 1088) 0           conv5_block7_0_bn[0][0]          
    __________________________________________________________________________________________________
    conv5_block7_1_conv (Conv2D)    (None, 16, 16, 128)  139264      conv5_block7_0_relu[0][0]        
    __________________________________________________________________________________________________
    conv5_block7_1_bn (BatchNormali (None, 16, 16, 128)  512         conv5_block7_1_conv[0][0]        
    __________________________________________________________________________________________________
    conv5_block7_1_relu (Activation (None, 16, 16, 128)  0           conv5_block7_1_bn[0][0]          
    __________________________________________________________________________________________________
    conv5_block7_2_conv (Conv2D)    (None, 16, 16, 32)   36864       conv5_block7_1_relu[0][0]        
    __________________________________________________________________________________________________
    conv5_block7_concat (Concatenat (None, 16, 16, 1120) 0           conv5_block6_concat[0][0]        
                                                                     conv5_block7_2_conv[0][0]        
    __________________________________________________________________________________________________
    conv5_block8_0_bn (BatchNormali (None, 16, 16, 1120) 4480        conv5_block7_concat[0][0]        
    __________________________________________________________________________________________________
    conv5_block8_0_relu (Activation (None, 16, 16, 1120) 0           conv5_block8_0_bn[0][0]          
    __________________________________________________________________________________________________
    conv5_block8_1_conv (Conv2D)    (None, 16, 16, 128)  143360      conv5_block8_0_relu[0][0]        
    __________________________________________________________________________________________________
    conv5_block8_1_bn (BatchNormali (None, 16, 16, 128)  512         conv5_block8_1_conv[0][0]        
    __________________________________________________________________________________________________
    conv5_block8_1_relu (Activation (None, 16, 16, 128)  0           conv5_block8_1_bn[0][0]          
    __________________________________________________________________________________________________
    conv5_block8_2_conv (Conv2D)    (None, 16, 16, 32)   36864       conv5_block8_1_relu[0][0]        
    __________________________________________________________________________________________________
    conv5_block8_concat (Concatenat (None, 16, 16, 1152) 0           conv5_block7_concat[0][0]        
                                                                     conv5_block8_2_conv[0][0]        
    __________________________________________________________________________________________________
    conv5_block9_0_bn (BatchNormali (None, 16, 16, 1152) 4608        conv5_block8_concat[0][0]        
    __________________________________________________________________________________________________
    conv5_block9_0_relu (Activation (None, 16, 16, 1152) 0           conv5_block9_0_bn[0][0]          
    __________________________________________________________________________________________________
    conv5_block9_1_conv (Conv2D)    (None, 16, 16, 128)  147456      conv5_block9_0_relu[0][0]        
    __________________________________________________________________________________________________
    conv5_block9_1_bn (BatchNormali (None, 16, 16, 128)  512         conv5_block9_1_conv[0][0]        
    __________________________________________________________________________________________________
    conv5_block9_1_relu (Activation (None, 16, 16, 128)  0           conv5_block9_1_bn[0][0]          
    __________________________________________________________________________________________________
    conv5_block9_2_conv (Conv2D)    (None, 16, 16, 32)   36864       conv5_block9_1_relu[0][0]        
    __________________________________________________________________________________________________
    conv5_block9_concat (Concatenat (None, 16, 16, 1184) 0           conv5_block8_concat[0][0]        
                                                                     conv5_block9_2_conv[0][0]        
    __________________________________________________________________________________________________
    conv5_block10_0_bn (BatchNormal (None, 16, 16, 1184) 4736        conv5_block9_concat[0][0]        
    __________________________________________________________________________________________________
    conv5_block10_0_relu (Activatio (None, 16, 16, 1184) 0           conv5_block10_0_bn[0][0]         
    __________________________________________________________________________________________________
    conv5_block10_1_conv (Conv2D)   (None, 16, 16, 128)  151552      conv5_block10_0_relu[0][0]       
    __________________________________________________________________________________________________
    conv5_block10_1_bn (BatchNormal (None, 16, 16, 128)  512         conv5_block10_1_conv[0][0]       
    __________________________________________________________________________________________________
    conv5_block10_1_relu (Activatio (None, 16, 16, 128)  0           conv5_block10_1_bn[0][0]         
    __________________________________________________________________________________________________
    conv5_block10_2_conv (Conv2D)   (None, 16, 16, 32)   36864       conv5_block10_1_relu[0][0]       
    __________________________________________________________________________________________________
    conv5_block10_concat (Concatena (None, 16, 16, 1216) 0           conv5_block9_concat[0][0]        
                                                                     conv5_block10_2_conv[0][0]       
    __________________________________________________________________________________________________
    conv5_block11_0_bn (BatchNormal (None, 16, 16, 1216) 4864        conv5_block10_concat[0][0]       
    __________________________________________________________________________________________________
    conv5_block11_0_relu (Activatio (None, 16, 16, 1216) 0           conv5_block11_0_bn[0][0]         
    __________________________________________________________________________________________________
    conv5_block11_1_conv (Conv2D)   (None, 16, 16, 128)  155648      conv5_block11_0_relu[0][0]       
    __________________________________________________________________________________________________
    conv5_block11_1_bn (BatchNormal (None, 16, 16, 128)  512         conv5_block11_1_conv[0][0]       
    __________________________________________________________________________________________________
    conv5_block11_1_relu (Activatio (None, 16, 16, 128)  0           conv5_block11_1_bn[0][0]         
    __________________________________________________________________________________________________
    conv5_block11_2_conv (Conv2D)   (None, 16, 16, 32)   36864       conv5_block11_1_relu[0][0]       
    __________________________________________________________________________________________________
    conv5_block11_concat (Concatena (None, 16, 16, 1248) 0           conv5_block10_concat[0][0]       
                                                                     conv5_block11_2_conv[0][0]       
    __________________________________________________________________________________________________
    conv5_block12_0_bn (BatchNormal (None, 16, 16, 1248) 4992        conv5_block11_concat[0][0]       
    __________________________________________________________________________________________________
    conv5_block12_0_relu (Activatio (None, 16, 16, 1248) 0           conv5_block12_0_bn[0][0]         
    __________________________________________________________________________________________________
    conv5_block12_1_conv (Conv2D)   (None, 16, 16, 128)  159744      conv5_block12_0_relu[0][0]       
    __________________________________________________________________________________________________
    conv5_block12_1_bn (BatchNormal (None, 16, 16, 128)  512         conv5_block12_1_conv[0][0]       
    __________________________________________________________________________________________________
    conv5_block12_1_relu (Activatio (None, 16, 16, 128)  0           conv5_block12_1_bn[0][0]         
    __________________________________________________________________________________________________
    conv5_block12_2_conv (Conv2D)   (None, 16, 16, 32)   36864       conv5_block12_1_relu[0][0]       
    __________________________________________________________________________________________________
    conv5_block12_concat (Concatena (None, 16, 16, 1280) 0           conv5_block11_concat[0][0]       
                                                                     conv5_block12_2_conv[0][0]       
    __________________________________________________________________________________________________
    conv5_block13_0_bn (BatchNormal (None, 16, 16, 1280) 5120        conv5_block12_concat[0][0]       
    __________________________________________________________________________________________________
    conv5_block13_0_relu (Activatio (None, 16, 16, 1280) 0           conv5_block13_0_bn[0][0]         
    __________________________________________________________________________________________________
    conv5_block13_1_conv (Conv2D)   (None, 16, 16, 128)  163840      conv5_block13_0_relu[0][0]       
    __________________________________________________________________________________________________
    conv5_block13_1_bn (BatchNormal (None, 16, 16, 128)  512         conv5_block13_1_conv[0][0]       
    __________________________________________________________________________________________________
    conv5_block13_1_relu (Activatio (None, 16, 16, 128)  0           conv5_block13_1_bn[0][0]         
    __________________________________________________________________________________________________
    conv5_block13_2_conv (Conv2D)   (None, 16, 16, 32)   36864       conv5_block13_1_relu[0][0]       
    __________________________________________________________________________________________________
    conv5_block13_concat (Concatena (None, 16, 16, 1312) 0           conv5_block12_concat[0][0]       
                                                                     conv5_block13_2_conv[0][0]       
    __________________________________________________________________________________________________
    conv5_block14_0_bn (BatchNormal (None, 16, 16, 1312) 5248        conv5_block13_concat[0][0]       
    __________________________________________________________________________________________________
    conv5_block14_0_relu (Activatio (None, 16, 16, 1312) 0           conv5_block14_0_bn[0][0]         
    __________________________________________________________________________________________________
    conv5_block14_1_conv (Conv2D)   (None, 16, 16, 128)  167936      conv5_block14_0_relu[0][0]       
    __________________________________________________________________________________________________
    conv5_block14_1_bn (BatchNormal (None, 16, 16, 128)  512         conv5_block14_1_conv[0][0]       
    __________________________________________________________________________________________________
    conv5_block14_1_relu (Activatio (None, 16, 16, 128)  0           conv5_block14_1_bn[0][0]         
    __________________________________________________________________________________________________
    conv5_block14_2_conv (Conv2D)   (None, 16, 16, 32)   36864       conv5_block14_1_relu[0][0]       
    __________________________________________________________________________________________________
    conv5_block14_concat (Concatena (None, 16, 16, 1344) 0           conv5_block13_concat[0][0]       
                                                                     conv5_block14_2_conv[0][0]       
    __________________________________________________________________________________________________
    conv5_block15_0_bn (BatchNormal (None, 16, 16, 1344) 5376        conv5_block14_concat[0][0]       
    __________________________________________________________________________________________________
    conv5_block15_0_relu (Activatio (None, 16, 16, 1344) 0           conv5_block15_0_bn[0][0]         
    __________________________________________________________________________________________________
    conv5_block15_1_conv (Conv2D)   (None, 16, 16, 128)  172032      conv5_block15_0_relu[0][0]       
    __________________________________________________________________________________________________
    conv5_block15_1_bn (BatchNormal (None, 16, 16, 128)  512         conv5_block15_1_conv[0][0]       
    __________________________________________________________________________________________________
    conv5_block15_1_relu (Activatio (None, 16, 16, 128)  0           conv5_block15_1_bn[0][0]         
    __________________________________________________________________________________________________
    conv5_block15_2_conv (Conv2D)   (None, 16, 16, 32)   36864       conv5_block15_1_relu[0][0]       
    __________________________________________________________________________________________________
    conv5_block15_concat (Concatena (None, 16, 16, 1376) 0           conv5_block14_concat[0][0]       
                                                                     conv5_block15_2_conv[0][0]       
    __________________________________________________________________________________________________
    conv5_block16_0_bn (BatchNormal (None, 16, 16, 1376) 5504        conv5_block15_concat[0][0]       
    __________________________________________________________________________________________________
    conv5_block16_0_relu (Activatio (None, 16, 16, 1376) 0           conv5_block16_0_bn[0][0]         
    __________________________________________________________________________________________________
    conv5_block16_1_conv (Conv2D)   (None, 16, 16, 128)  176128      conv5_block16_0_relu[0][0]       
    __________________________________________________________________________________________________
    conv5_block16_1_bn (BatchNormal (None, 16, 16, 128)  512         conv5_block16_1_conv[0][0]       
    __________________________________________________________________________________________________
    conv5_block16_1_relu (Activatio (None, 16, 16, 128)  0           conv5_block16_1_bn[0][0]         
    __________________________________________________________________________________________________
    conv5_block16_2_conv (Conv2D)   (None, 16, 16, 32)   36864       conv5_block16_1_relu[0][0]       
    __________________________________________________________________________________________________
    conv5_block16_concat (Concatena (None, 16, 16, 1408) 0           conv5_block15_concat[0][0]       
                                                                     conv5_block16_2_conv[0][0]       
    __________________________________________________________________________________________________
    conv5_block17_0_bn (BatchNormal (None, 16, 16, 1408) 5632        conv5_block16_concat[0][0]       
    __________________________________________________________________________________________________
    conv5_block17_0_relu (Activatio (None, 16, 16, 1408) 0           conv5_block17_0_bn[0][0]         
    __________________________________________________________________________________________________
    conv5_block17_1_conv (Conv2D)   (None, 16, 16, 128)  180224      conv5_block17_0_relu[0][0]       
    __________________________________________________________________________________________________
    conv5_block17_1_bn (BatchNormal (None, 16, 16, 128)  512         conv5_block17_1_conv[0][0]       
    __________________________________________________________________________________________________
    conv5_block17_1_relu (Activatio (None, 16, 16, 128)  0           conv5_block17_1_bn[0][0]         
    __________________________________________________________________________________________________
    conv5_block17_2_conv (Conv2D)   (None, 16, 16, 32)   36864       conv5_block17_1_relu[0][0]       
    __________________________________________________________________________________________________
    conv5_block17_concat (Concatena (None, 16, 16, 1440) 0           conv5_block16_concat[0][0]       
                                                                     conv5_block17_2_conv[0][0]       
    __________________________________________________________________________________________________
    conv5_block18_0_bn (BatchNormal (None, 16, 16, 1440) 5760        conv5_block17_concat[0][0]       
    __________________________________________________________________________________________________
    conv5_block18_0_relu (Activatio (None, 16, 16, 1440) 0           conv5_block18_0_bn[0][0]         
    __________________________________________________________________________________________________
    conv5_block18_1_conv (Conv2D)   (None, 16, 16, 128)  184320      conv5_block18_0_relu[0][0]       
    __________________________________________________________________________________________________
    conv5_block18_1_bn (BatchNormal (None, 16, 16, 128)  512         conv5_block18_1_conv[0][0]       
    __________________________________________________________________________________________________
    conv5_block18_1_relu (Activatio (None, 16, 16, 128)  0           conv5_block18_1_bn[0][0]         
    __________________________________________________________________________________________________
    conv5_block18_2_conv (Conv2D)   (None, 16, 16, 32)   36864       conv5_block18_1_relu[0][0]       
    __________________________________________________________________________________________________
    conv5_block18_concat (Concatena (None, 16, 16, 1472) 0           conv5_block17_concat[0][0]       
                                                                     conv5_block18_2_conv[0][0]       
    __________________________________________________________________________________________________
    conv5_block19_0_bn (BatchNormal (None, 16, 16, 1472) 5888        conv5_block18_concat[0][0]       
    __________________________________________________________________________________________________
    conv5_block19_0_relu (Activatio (None, 16, 16, 1472) 0           conv5_block19_0_bn[0][0]         
    __________________________________________________________________________________________________
    conv5_block19_1_conv (Conv2D)   (None, 16, 16, 128)  188416      conv5_block19_0_relu[0][0]       
    __________________________________________________________________________________________________
    conv5_block19_1_bn (BatchNormal (None, 16, 16, 128)  512         conv5_block19_1_conv[0][0]       
    __________________________________________________________________________________________________
    conv5_block19_1_relu (Activatio (None, 16, 16, 128)  0           conv5_block19_1_bn[0][0]         
    __________________________________________________________________________________________________
    conv5_block19_2_conv (Conv2D)   (None, 16, 16, 32)   36864       conv5_block19_1_relu[0][0]       
    __________________________________________________________________________________________________
    conv5_block19_concat (Concatena (None, 16, 16, 1504) 0           conv5_block18_concat[0][0]       
                                                                     conv5_block19_2_conv[0][0]       
    __________________________________________________________________________________________________
    conv5_block20_0_bn (BatchNormal (None, 16, 16, 1504) 6016        conv5_block19_concat[0][0]       
    __________________________________________________________________________________________________
    conv5_block20_0_relu (Activatio (None, 16, 16, 1504) 0           conv5_block20_0_bn[0][0]         
    __________________________________________________________________________________________________
    conv5_block20_1_conv (Conv2D)   (None, 16, 16, 128)  192512      conv5_block20_0_relu[0][0]       
    __________________________________________________________________________________________________
    conv5_block20_1_bn (BatchNormal (None, 16, 16, 128)  512         conv5_block20_1_conv[0][0]       
    __________________________________________________________________________________________________
    conv5_block20_1_relu (Activatio (None, 16, 16, 128)  0           conv5_block20_1_bn[0][0]         
    __________________________________________________________________________________________________
    conv5_block20_2_conv (Conv2D)   (None, 16, 16, 32)   36864       conv5_block20_1_relu[0][0]       
    __________________________________________________________________________________________________
    conv5_block20_concat (Concatena (None, 16, 16, 1536) 0           conv5_block19_concat[0][0]       
                                                                     conv5_block20_2_conv[0][0]       
    __________________________________________________________________________________________________
    conv5_block21_0_bn (BatchNormal (None, 16, 16, 1536) 6144        conv5_block20_concat[0][0]       
    __________________________________________________________________________________________________
    conv5_block21_0_relu (Activatio (None, 16, 16, 1536) 0           conv5_block21_0_bn[0][0]         
    __________________________________________________________________________________________________
    conv5_block21_1_conv (Conv2D)   (None, 16, 16, 128)  196608      conv5_block21_0_relu[0][0]       
    __________________________________________________________________________________________________
    conv5_block21_1_bn (BatchNormal (None, 16, 16, 128)  512         conv5_block21_1_conv[0][0]       
    __________________________________________________________________________________________________
    conv5_block21_1_relu (Activatio (None, 16, 16, 128)  0           conv5_block21_1_bn[0][0]         
    __________________________________________________________________________________________________
    conv5_block21_2_conv (Conv2D)   (None, 16, 16, 32)   36864       conv5_block21_1_relu[0][0]       
    __________________________________________________________________________________________________
    conv5_block21_concat (Concatena (None, 16, 16, 1568) 0           conv5_block20_concat[0][0]       
                                                                     conv5_block21_2_conv[0][0]       
    __________________________________________________________________________________________________
    conv5_block22_0_bn (BatchNormal (None, 16, 16, 1568) 6272        conv5_block21_concat[0][0]       
    __________________________________________________________________________________________________
    conv5_block22_0_relu (Activatio (None, 16, 16, 1568) 0           conv5_block22_0_bn[0][0]         
    __________________________________________________________________________________________________
    conv5_block22_1_conv (Conv2D)   (None, 16, 16, 128)  200704      conv5_block22_0_relu[0][0]       
    __________________________________________________________________________________________________
    conv5_block22_1_bn (BatchNormal (None, 16, 16, 128)  512         conv5_block22_1_conv[0][0]       
    __________________________________________________________________________________________________
    conv5_block22_1_relu (Activatio (None, 16, 16, 128)  0           conv5_block22_1_bn[0][0]         
    __________________________________________________________________________________________________
    conv5_block22_2_conv (Conv2D)   (None, 16, 16, 32)   36864       conv5_block22_1_relu[0][0]       
    __________________________________________________________________________________________________
    conv5_block22_concat (Concatena (None, 16, 16, 1600) 0           conv5_block21_concat[0][0]       
                                                                     conv5_block22_2_conv[0][0]       
    __________________________________________________________________________________________________
    conv5_block23_0_bn (BatchNormal (None, 16, 16, 1600) 6400        conv5_block22_concat[0][0]       
    __________________________________________________________________________________________________
    conv5_block23_0_relu (Activatio (None, 16, 16, 1600) 0           conv5_block23_0_bn[0][0]         
    __________________________________________________________________________________________________
    conv5_block23_1_conv (Conv2D)   (None, 16, 16, 128)  204800      conv5_block23_0_relu[0][0]       
    __________________________________________________________________________________________________
    conv5_block23_1_bn (BatchNormal (None, 16, 16, 128)  512         conv5_block23_1_conv[0][0]       
    __________________________________________________________________________________________________
    conv5_block23_1_relu (Activatio (None, 16, 16, 128)  0           conv5_block23_1_bn[0][0]         
    __________________________________________________________________________________________________
    conv5_block23_2_conv (Conv2D)   (None, 16, 16, 32)   36864       conv5_block23_1_relu[0][0]       
    __________________________________________________________________________________________________
    conv5_block23_concat (Concatena (None, 16, 16, 1632) 0           conv5_block22_concat[0][0]       
                                                                     conv5_block23_2_conv[0][0]       
    __________________________________________________________________________________________________
    conv5_block24_0_bn (BatchNormal (None, 16, 16, 1632) 6528        conv5_block23_concat[0][0]       
    __________________________________________________________________________________________________
    conv5_block24_0_relu (Activatio (None, 16, 16, 1632) 0           conv5_block24_0_bn[0][0]         
    __________________________________________________________________________________________________
    conv5_block24_1_conv (Conv2D)   (None, 16, 16, 128)  208896      conv5_block24_0_relu[0][0]       
    __________________________________________________________________________________________________
    conv5_block24_1_bn (BatchNormal (None, 16, 16, 128)  512         conv5_block24_1_conv[0][0]       
    __________________________________________________________________________________________________
    conv5_block24_1_relu (Activatio (None, 16, 16, 128)  0           conv5_block24_1_bn[0][0]         
    __________________________________________________________________________________________________
    conv5_block24_2_conv (Conv2D)   (None, 16, 16, 32)   36864       conv5_block24_1_relu[0][0]       
    __________________________________________________________________________________________________
    conv5_block24_concat (Concatena (None, 16, 16, 1664) 0           conv5_block23_concat[0][0]       
                                                                     conv5_block24_2_conv[0][0]       
    __________________________________________________________________________________________________
    conv5_block25_0_bn (BatchNormal (None, 16, 16, 1664) 6656        conv5_block24_concat[0][0]       
    __________________________________________________________________________________________________
    conv5_block25_0_relu (Activatio (None, 16, 16, 1664) 0           conv5_block25_0_bn[0][0]         
    __________________________________________________________________________________________________
    conv5_block25_1_conv (Conv2D)   (None, 16, 16, 128)  212992      conv5_block25_0_relu[0][0]       
    __________________________________________________________________________________________________
    conv5_block25_1_bn (BatchNormal (None, 16, 16, 128)  512         conv5_block25_1_conv[0][0]       
    __________________________________________________________________________________________________
    conv5_block25_1_relu (Activatio (None, 16, 16, 128)  0           conv5_block25_1_bn[0][0]         
    __________________________________________________________________________________________________
    conv5_block25_2_conv (Conv2D)   (None, 16, 16, 32)   36864       conv5_block25_1_relu[0][0]       
    __________________________________________________________________________________________________
    conv5_block25_concat (Concatena (None, 16, 16, 1696) 0           conv5_block24_concat[0][0]       
                                                                     conv5_block25_2_conv[0][0]       
    __________________________________________________________________________________________________
    conv5_block26_0_bn (BatchNormal (None, 16, 16, 1696) 6784        conv5_block25_concat[0][0]       
    __________________________________________________________________________________________________
    conv5_block26_0_relu (Activatio (None, 16, 16, 1696) 0           conv5_block26_0_bn[0][0]         
    __________________________________________________________________________________________________
    conv5_block26_1_conv (Conv2D)   (None, 16, 16, 128)  217088      conv5_block26_0_relu[0][0]       
    __________________________________________________________________________________________________
    conv5_block26_1_bn (BatchNormal (None, 16, 16, 128)  512         conv5_block26_1_conv[0][0]       
    __________________________________________________________________________________________________
    conv5_block26_1_relu (Activatio (None, 16, 16, 128)  0           conv5_block26_1_bn[0][0]         
    __________________________________________________________________________________________________
    conv5_block26_2_conv (Conv2D)   (None, 16, 16, 32)   36864       conv5_block26_1_relu[0][0]       
    __________________________________________________________________________________________________
    conv5_block26_concat (Concatena (None, 16, 16, 1728) 0           conv5_block25_concat[0][0]       
                                                                     conv5_block26_2_conv[0][0]       
    __________________________________________________________________________________________________
    conv5_block27_0_bn (BatchNormal (None, 16, 16, 1728) 6912        conv5_block26_concat[0][0]       
    __________________________________________________________________________________________________
    conv5_block27_0_relu (Activatio (None, 16, 16, 1728) 0           conv5_block27_0_bn[0][0]         
    __________________________________________________________________________________________________
    conv5_block27_1_conv (Conv2D)   (None, 16, 16, 128)  221184      conv5_block27_0_relu[0][0]       
    __________________________________________________________________________________________________
    conv5_block27_1_bn (BatchNormal (None, 16, 16, 128)  512         conv5_block27_1_conv[0][0]       
    __________________________________________________________________________________________________
    conv5_block27_1_relu (Activatio (None, 16, 16, 128)  0           conv5_block27_1_bn[0][0]         
    __________________________________________________________________________________________________
    conv5_block27_2_conv (Conv2D)   (None, 16, 16, 32)   36864       conv5_block27_1_relu[0][0]       
    __________________________________________________________________________________________________
    conv5_block27_concat (Concatena (None, 16, 16, 1760) 0           conv5_block26_concat[0][0]       
                                                                     conv5_block27_2_conv[0][0]       
    __________________________________________________________________________________________________
    conv5_block28_0_bn (BatchNormal (None, 16, 16, 1760) 7040        conv5_block27_concat[0][0]       
    __________________________________________________________________________________________________
    conv5_block28_0_relu (Activatio (None, 16, 16, 1760) 0           conv5_block28_0_bn[0][0]         
    __________________________________________________________________________________________________
    conv5_block28_1_conv (Conv2D)   (None, 16, 16, 128)  225280      conv5_block28_0_relu[0][0]       
    __________________________________________________________________________________________________
    conv5_block28_1_bn (BatchNormal (None, 16, 16, 128)  512         conv5_block28_1_conv[0][0]       
    __________________________________________________________________________________________________
    conv5_block28_1_relu (Activatio (None, 16, 16, 128)  0           conv5_block28_1_bn[0][0]         
    __________________________________________________________________________________________________
    conv5_block28_2_conv (Conv2D)   (None, 16, 16, 32)   36864       conv5_block28_1_relu[0][0]       
    __________________________________________________________________________________________________
    conv5_block28_concat (Concatena (None, 16, 16, 1792) 0           conv5_block27_concat[0][0]       
                                                                     conv5_block28_2_conv[0][0]       
    __________________________________________________________________________________________________
    conv5_block29_0_bn (BatchNormal (None, 16, 16, 1792) 7168        conv5_block28_concat[0][0]       
    __________________________________________________________________________________________________
    conv5_block29_0_relu (Activatio (None, 16, 16, 1792) 0           conv5_block29_0_bn[0][0]         
    __________________________________________________________________________________________________
    conv5_block29_1_conv (Conv2D)   (None, 16, 16, 128)  229376      conv5_block29_0_relu[0][0]       
    __________________________________________________________________________________________________
    conv5_block29_1_bn (BatchNormal (None, 16, 16, 128)  512         conv5_block29_1_conv[0][0]       
    __________________________________________________________________________________________________
    conv5_block29_1_relu (Activatio (None, 16, 16, 128)  0           conv5_block29_1_bn[0][0]         
    __________________________________________________________________________________________________
    conv5_block29_2_conv (Conv2D)   (None, 16, 16, 32)   36864       conv5_block29_1_relu[0][0]       
    __________________________________________________________________________________________________
    conv5_block29_concat (Concatena (None, 16, 16, 1824) 0           conv5_block28_concat[0][0]       
                                                                     conv5_block29_2_conv[0][0]       
    __________________________________________________________________________________________________
    conv5_block30_0_bn (BatchNormal (None, 16, 16, 1824) 7296        conv5_block29_concat[0][0]       
    __________________________________________________________________________________________________
    conv5_block30_0_relu (Activatio (None, 16, 16, 1824) 0           conv5_block30_0_bn[0][0]         
    __________________________________________________________________________________________________
    conv5_block30_1_conv (Conv2D)   (None, 16, 16, 128)  233472      conv5_block30_0_relu[0][0]       
    __________________________________________________________________________________________________
    conv5_block30_1_bn (BatchNormal (None, 16, 16, 128)  512         conv5_block30_1_conv[0][0]       
    __________________________________________________________________________________________________
    conv5_block30_1_relu (Activatio (None, 16, 16, 128)  0           conv5_block30_1_bn[0][0]         
    __________________________________________________________________________________________________
    conv5_block30_2_conv (Conv2D)   (None, 16, 16, 32)   36864       conv5_block30_1_relu[0][0]       
    __________________________________________________________________________________________________
    conv5_block30_concat (Concatena (None, 16, 16, 1856) 0           conv5_block29_concat[0][0]       
                                                                     conv5_block30_2_conv[0][0]       
    __________________________________________________________________________________________________
    conv5_block31_0_bn (BatchNormal (None, 16, 16, 1856) 7424        conv5_block30_concat[0][0]       
    __________________________________________________________________________________________________
    conv5_block31_0_relu (Activatio (None, 16, 16, 1856) 0           conv5_block31_0_bn[0][0]         
    __________________________________________________________________________________________________
    conv5_block31_1_conv (Conv2D)   (None, 16, 16, 128)  237568      conv5_block31_0_relu[0][0]       
    __________________________________________________________________________________________________
    conv5_block31_1_bn (BatchNormal (None, 16, 16, 128)  512         conv5_block31_1_conv[0][0]       
    __________________________________________________________________________________________________
    conv5_block31_1_relu (Activatio (None, 16, 16, 128)  0           conv5_block31_1_bn[0][0]         
    __________________________________________________________________________________________________
    conv5_block31_2_conv (Conv2D)   (None, 16, 16, 32)   36864       conv5_block31_1_relu[0][0]       
    __________________________________________________________________________________________________
    conv5_block31_concat (Concatena (None, 16, 16, 1888) 0           conv5_block30_concat[0][0]       
                                                                     conv5_block31_2_conv[0][0]       
    __________________________________________________________________________________________________
    conv5_block32_0_bn (BatchNormal (None, 16, 16, 1888) 7552        conv5_block31_concat[0][0]       
    __________________________________________________________________________________________________
    conv5_block32_0_relu (Activatio (None, 16, 16, 1888) 0           conv5_block32_0_bn[0][0]         
    __________________________________________________________________________________________________
    conv5_block32_1_conv (Conv2D)   (None, 16, 16, 128)  241664      conv5_block32_0_relu[0][0]       
    __________________________________________________________________________________________________
    conv5_block32_1_bn (BatchNormal (None, 16, 16, 128)  512         conv5_block32_1_conv[0][0]       
    __________________________________________________________________________________________________
    conv5_block32_1_relu (Activatio (None, 16, 16, 128)  0           conv5_block32_1_bn[0][0]         
    __________________________________________________________________________________________________
    conv5_block32_2_conv (Conv2D)   (None, 16, 16, 32)   36864       conv5_block32_1_relu[0][0]       
    __________________________________________________________________________________________________
    conv5_block32_concat (Concatena (None, 16, 16, 1920) 0           conv5_block31_concat[0][0]       
                                                                     conv5_block32_2_conv[0][0]       
    __________________________________________________________________________________________________
    bn (BatchNormalization)         (None, 16, 16, 1920) 7680        conv5_block32_concat[0][0]       
    __________________________________________________________________________________________________
    relu (Activation)               (None, 16, 16, 1920) 0           bn[0][0]                         
    __________________________________________________________________________________________________
    avg_pool (GlobalAveragePooling2 (None, 1920)         0           relu[0][0]                       
    __________________________________________________________________________________________________
    fc1000 (Dense)                  (None, 1000)         1921000     avg_pool[0][0]                   
    ==================================================================================================
    Total params: 20,242,984
    Trainable params: 20,013,928
    Non-trainable params: 229,056
    __________________________________________________________________________________________________
    
    Process finished with exit code 0
    
    
    展开全文
  • densenet 201 weights

    2018-12-02 12:31:53
    DenseNet在ResNet的基础上(ResNet介绍),进一步扩展网络连接,对于网络的任意一层,该层前面所有层的feature map都是这层的输入,该层的feature map是后面所有层的输入。优点:减轻了梯度消失问题(vanishing-...
  • densenet201_weights_tf_dim_ordering_tf_kernels_notop.h5, keras预训练模型,densenet201
  • densenet201.mlpkginstall

    2020-11-03 12:45:08
    迁移学习(Transfer Learning):Matlab预训练模型的原始安装程序,用于特征提取、表达、目标识别等诸多任务
  • Tensor(“conv1/conv/kernel:0”, shape=(7, 7, 3, 64), dtype=float32_ref) must be from the same graph as Tensor(“densenet201/zero_padding2d_1/Pad:0”, shape=(?, 230, 230, 3), dtype=float32). 这个bug...

    Tensor(“conv1/conv/kernel:0”, shape=(7, 7, 3, 64), dtype=float32_ref) must be from the same graph as Tensor(“densenet201/zero_padding2d_1/Pad:0”, shape=(?, 230, 230, 3), dtype=float32).

    这个bug已经卡了我好几天了,网上查找解决办法,好多都没啥用,列几个对我比较有帮助的参考博客。

    1. https://blog.csdn.net/llsplsp/article/details/105420453
    2. https://blog.csdn.net/weixin_39326879/article/details/108832107?utm_medium=distribute.pc_relevant.none-task-blog-BlogCommendFromMachineLearnPai2-9.control&dist_request_id=&depth_1-utm_source=distribute.pc_relevant.none-task-blog-BlogCommendFromMachineLearnPai2-9.control

    看了些文章,都是说计算图的问题,现在解决了这个问题,由冒出了另外的问题,OMG才疏浅学啊,到处都是BUG。

    千万不要随便乱升级pip,现在我pip出大问题了,一团糟呜呜。

    展开全文
  • 运行 haze_class = models.densenet201(pretrained=True)时出现以下错误: PermissionError: [Errno 13] Permission denied: '/home/user/.torch/models/densenet201-c1103571.pth' 在网上搜了一下原因可能是这个...

    运行 haze_class = models.densenet201(pretrained=True)时出现以下错误:

    PermissionError: [Errno 13] Permission denied: '/home/user/.torch/models/densenet201-c1103571.pth'
    

    在网上搜了一下原因可能是这个文件夹可能不存在,亦或者路径错了
    但修改路径后仍有这种错误
    试了一下运行python时前面加sudo 问题解决

    展开全文
  • model weight in this repo https://github.com/fchollet/deep-learning-models Keras提供的预训练权重
  •         之前做的一个细粒度车型识别项目, 数据集:斯坦福大学公开细粒度车型识别数据集,196类; 测试准确率达到94.13%。 深度学习框架:pytorch ...下面是部分代码文件,有需要的联系我:wx:...
  • DenseNet-201 (k=32) 22.5 Download (161.8MB) DenseNet-161 (k=48) 22.2 Download (230.8MB) Models in the tech report More accurate models trained with the memory efficient implementation in the ...
  • Densenet.rar

    2020-06-02 17:56:17
    Densnet121,Densenet169,Densenet201,预训练模型,适合Keras库,包括有notop的和无notop的。CSDN上传最大只能480M,后续的模型将陆续上传,GitHub限速,搬的好累,搬了好几天。放到CSDN上,方便大家快速下载。
  • DenseNet的Keras代码实现

    千次阅读 2020-04-02 13:30:19
    下面代码显示了如何使用keras实现DenseNet网络 DenseNet121 : dense_block == [6, 12, 24, 16] ...DenseNet201 : dense_block == [6, 12, 48, 32] 下面举了一个DenseNet201 的例子 import os from...
  • DenseNet-caffe

    2019-08-07 15:46:41
    https://github.com/shicai/DenseNet-Caffe DenseNet_161.prototxt DenseNet_121.prototxt DenseNet_169.prototxt DenseNet_201.prototxt
  • densenet201 --epochs=1 --steps=1 --no-weights coco /home/manuelvazquezenriquez2/keras-retinanet-test-data/coco loading annotations into memory... Done (t=0.00s) creating index... index ...
  • 所以DenseNet一共有DenseNet-121,DenseNet-169,DenseNet-201DenseNet-264 四种实现方式。 拿DenseNet-121为例,121表示的是卷积层和全连接层加起来的数目(一共120个卷积层,1个全连接层) ...
  • DenseNet定义 论文链接:Densely Connected Convolutional Networks 参考:深度/机器学习基础知识要点:CNN、ResNet、DenseNet DenseNet参数 参数情况 flops 对比DensetNet201在pytorch、tensorflow的情况 ...
  • Dense Layers

    2020-12-08 23:04:18
    <p>In training DenseNet Model: Q1) there is a parameter --depth, if it is set to "--depth 201", does it also mean it will have 201 layers? if depth=201, stages= [6, 12, 48, 32], what...
  • DenseNet201 224 77.320 93.620 20.2M 18.3M [paper] [torch] NASNetLarge 331 82.498 96.004 93.5M 84.9M [paper] [tf-models] NASNetMobile 224 74.366 91.854 7.7M 4.3M [paper] [tf-models] ...
  • Pytorch预训练模型

    千次阅读 2019-07-22 16:44:52
    Pytorch预训练模型 Pytorch支持预训练的模型如下 Fromtorchvisionpackage: ResNet (resnet18,resnet34,resnet50,resnet101,... DenseNet (densenet121,densenet169,densenet201,densenet161) Inception v3 (in...
  • 最近想使用DenseNet做特征提取,但是不知道DenseNet具体...# -*- coding: utf-8 -*-from keras.applications.densenet import DenseNet201,preprocess_inputfrom keras.models import Model,load_modelimport nump...
  • kaggle项目TPUs调试记录

    2020-11-16 15:21:52
    from tensorflow.keras.applications import DenseNet201 def get_model(): with strategy.scope(): rnet = DenseNet201( input_shape=(IMAGE_SIZE[0], IMAGE_SIZE[1], 3), weights='imagenet', include_top=...
  • keras查看网络结构

    千次阅读 2019-03-18 11:45:19
    最近想使用DenseNet做特征提取,但是不知道DenseNet具体结构,... # -*- coding: utf-8 -*- """ Created on Tue Feb 19 13:35:11 2019 ...from keras.applications.densenet import DenseNet201,pre...
  • 首先从darknet.py中main函数出发,如下: if __name__ == "__... #net = load_net("cfg/densenet201.cfg", "/home/pjreddie/trained/densenet201.weights", 0) #im = load_image("data/wolf.jpg", 0, 0) #met...
  • darknet 可视化yolo损失曲线

    千次阅读 2018-04-17 12:55:45
    保存日志命令:/darknet detector train my/mot/person.data my/mot/densenet201_yolo.cfg backup/mot/densenet201_yolo_final.weights &gt;&gt; log/mot-ramdon.logpython可视化代码:#plot.py import ...
  • import tensorflow as tf from tensorflow.keras import applications """ keras.applications 中共有以下模型 DenseNet121(...) ...DenseNet201(...) InceptionResNetV2(...) InceptionV3(...) MobileNet...
  • 25 2018 CVPR Enhanced Optic Disk and Cup Segmentation with Glaucoma Screening from Fundus Images using Position encoded CNNs Method : 分割 + 分类 ...Architecture : Unet(DenseNet)+ DenseNet201/ResN...
  • ReID Baseline

    2019-05-10 19:30:25
    大佬的Baseline 新加densenet201作为backbone top1:0.922209 top5:0.956354 top10:0.967933 mAP:0.868049

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