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model_summary.txt
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model_summary.txt
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__________________________________________________________________________________________________
Layer (type) Output Shape Param # Connected to
==================================================================================================
input_1 (InputLayer) (None, 640, 480, 3) 0
__________________________________________________________________________________________________
conv2d_1 (Conv2D) (None, 320, 240, 64) 9408 input_1[0][0]
__________________________________________________________________________________________________
batch_normalization_1 (BatchNor (None, 320, 240, 64) 256 conv2d_1[0][0]
__________________________________________________________________________________________________
activation_1 (Activation) (None, 320, 240, 64) 0 batch_normalization_1[0][0]
__________________________________________________________________________________________________
max_pooling2d_1 (MaxPooling2D) (None, 160, 120, 64) 0 activation_1[0][0]
__________________________________________________________________________________________________
conv2d_2 (Conv2D) (None, 160, 120, 64) 4096 max_pooling2d_1[0][0]
__________________________________________________________________________________________________
batch_normalization_2 (BatchNor (None, 160, 120, 64) 256 conv2d_2[0][0]
__________________________________________________________________________________________________
activation_2 (Activation) (None, 160, 120, 64) 0 batch_normalization_2[0][0]
__________________________________________________________________________________________________
conv2d_3 (Conv2D) (None, 160, 120, 64) 36864 activation_2[0][0]
__________________________________________________________________________________________________
batch_normalization_3 (BatchNor (None, 160, 120, 64) 256 conv2d_3[0][0]
__________________________________________________________________________________________________
activation_3 (Activation) (None, 160, 120, 64) 0 batch_normalization_3[0][0]
__________________________________________________________________________________________________
conv2d_4 (Conv2D) (None, 160, 120, 256 16384 activation_3[0][0]
__________________________________________________________________________________________________
conv2d_5 (Conv2D) (None, 160, 120, 256 16384 max_pooling2d_1[0][0]
__________________________________________________________________________________________________
batch_normalization_4 (BatchNor (None, 160, 120, 256 1024 conv2d_4[0][0]
__________________________________________________________________________________________________
batch_normalization_5 (BatchNor (None, 160, 120, 256 1024 conv2d_5[0][0]
__________________________________________________________________________________________________
add_1 (Add) (None, 160, 120, 256 0 batch_normalization_4[0][0]
batch_normalization_5[0][0]
__________________________________________________________________________________________________
activation_4 (Activation) (None, 160, 120, 256 0 add_1[0][0]
__________________________________________________________________________________________________
conv2d_6 (Conv2D) (None, 160, 120, 256 65536 activation_4[0][0]
__________________________________________________________________________________________________
batch_normalization_6 (BatchNor (None, 160, 120, 256 1024 conv2d_6[0][0]
__________________________________________________________________________________________________
activation_5 (Activation) (None, 160, 120, 256 0 batch_normalization_6[0][0]
__________________________________________________________________________________________________
conv2d_7 (Conv2D) (None, 160, 120, 256 589824 activation_5[0][0]
__________________________________________________________________________________________________
batch_normalization_7 (BatchNor (None, 160, 120, 256 1024 conv2d_7[0][0]
__________________________________________________________________________________________________
activation_6 (Activation) (None, 160, 120, 256 0 batch_normalization_7[0][0]
__________________________________________________________________________________________________
conv2d_8 (Conv2D) (None, 160, 120, 256 65536 activation_6[0][0]
__________________________________________________________________________________________________
batch_normalization_8 (BatchNor (None, 160, 120, 256 1024 conv2d_8[0][0]
__________________________________________________________________________________________________
add_2 (Add) (None, 160, 120, 256 0 batch_normalization_8[0][0]
activation_4[0][0]
__________________________________________________________________________________________________
activation_7 (Activation) (None, 160, 120, 256 0 add_2[0][0]
__________________________________________________________________________________________________
conv2d_9 (Conv2D) (None, 160, 120, 256 65536 activation_7[0][0]
__________________________________________________________________________________________________
batch_normalization_9 (BatchNor (None, 160, 120, 256 1024 conv2d_9[0][0]
__________________________________________________________________________________________________
activation_8 (Activation) (None, 160, 120, 256 0 batch_normalization_9[0][0]
__________________________________________________________________________________________________
conv2d_10 (Conv2D) (None, 160, 120, 256 589824 activation_8[0][0]
__________________________________________________________________________________________________
batch_normalization_10 (BatchNo (None, 160, 120, 256 1024 conv2d_10[0][0]
__________________________________________________________________________________________________
activation_9 (Activation) (None, 160, 120, 256 0 batch_normalization_10[0][0]
__________________________________________________________________________________________________
conv2d_11 (Conv2D) (None, 160, 120, 256 65536 activation_9[0][0]
__________________________________________________________________________________________________
batch_normalization_11 (BatchNo (None, 160, 120, 256 1024 conv2d_11[0][0]
__________________________________________________________________________________________________
add_3 (Add) (None, 160, 120, 256 0 batch_normalization_11[0][0]
activation_7[0][0]
__________________________________________________________________________________________________
activation_10 (Activation) (None, 160, 120, 256 0 add_3[0][0]
__________________________________________________________________________________________________
conv2d_12 (Conv2D) (None, 80, 60, 256) 65536 activation_10[0][0]
__________________________________________________________________________________________________
batch_normalization_12 (BatchNo (None, 80, 60, 256) 1024 conv2d_12[0][0]
__________________________________________________________________________________________________
activation_11 (Activation) (None, 80, 60, 256) 0 batch_normalization_12[0][0]
__________________________________________________________________________________________________
conv2d_13 (Conv2D) (None, 80, 60, 256) 589824 activation_11[0][0]
__________________________________________________________________________________________________
batch_normalization_13 (BatchNo (None, 80, 60, 256) 1024 conv2d_13[0][0]
__________________________________________________________________________________________________
activation_12 (Activation) (None, 80, 60, 256) 0 batch_normalization_13[0][0]
__________________________________________________________________________________________________
conv2d_14 (Conv2D) (None, 80, 60, 512) 131072 activation_12[0][0]
__________________________________________________________________________________________________
conv2d_15 (Conv2D) (None, 80, 60, 512) 131072 activation_10[0][0]
__________________________________________________________________________________________________
batch_normalization_14 (BatchNo (None, 80, 60, 512) 2048 conv2d_14[0][0]
__________________________________________________________________________________________________
batch_normalization_15 (BatchNo (None, 80, 60, 512) 2048 conv2d_15[0][0]
__________________________________________________________________________________________________
add_4 (Add) (None, 80, 60, 512) 0 batch_normalization_14[0][0]
batch_normalization_15[0][0]
__________________________________________________________________________________________________
activation_13 (Activation) (None, 80, 60, 512) 0 add_4[0][0]
__________________________________________________________________________________________________
conv2d_16 (Conv2D) (None, 80, 60, 512) 262144 activation_13[0][0]
__________________________________________________________________________________________________
batch_normalization_16 (BatchNo (None, 80, 60, 512) 2048 conv2d_16[0][0]
__________________________________________________________________________________________________
activation_14 (Activation) (None, 80, 60, 512) 0 batch_normalization_16[0][0]
__________________________________________________________________________________________________
conv2d_17 (Conv2D) (None, 80, 60, 512) 2359296 activation_14[0][0]
__________________________________________________________________________________________________
batch_normalization_17 (BatchNo (None, 80, 60, 512) 2048 conv2d_17[0][0]
__________________________________________________________________________________________________
activation_15 (Activation) (None, 80, 60, 512) 0 batch_normalization_17[0][0]
__________________________________________________________________________________________________
conv2d_18 (Conv2D) (None, 80, 60, 512) 262144 activation_15[0][0]
__________________________________________________________________________________________________
batch_normalization_18 (BatchNo (None, 80, 60, 512) 2048 conv2d_18[0][0]
__________________________________________________________________________________________________
add_5 (Add) (None, 80, 60, 512) 0 batch_normalization_18[0][0]
activation_13[0][0]
__________________________________________________________________________________________________
activation_16 (Activation) (None, 80, 60, 512) 0 add_5[0][0]
__________________________________________________________________________________________________
conv2d_19 (Conv2D) (None, 80, 60, 512) 262144 activation_16[0][0]
__________________________________________________________________________________________________
batch_normalization_19 (BatchNo (None, 80, 60, 512) 2048 conv2d_19[0][0]
__________________________________________________________________________________________________
activation_17 (Activation) (None, 80, 60, 512) 0 batch_normalization_19[0][0]
__________________________________________________________________________________________________
conv2d_20 (Conv2D) (None, 80, 60, 512) 2359296 activation_17[0][0]
__________________________________________________________________________________________________
batch_normalization_20 (BatchNo (None, 80, 60, 512) 2048 conv2d_20[0][0]
__________________________________________________________________________________________________
activation_18 (Activation) (None, 80, 60, 512) 0 batch_normalization_20[0][0]
__________________________________________________________________________________________________
conv2d_21 (Conv2D) (None, 80, 60, 512) 262144 activation_18[0][0]
__________________________________________________________________________________________________
batch_normalization_21 (BatchNo (None, 80, 60, 512) 2048 conv2d_21[0][0]
__________________________________________________________________________________________________
add_6 (Add) (None, 80, 60, 512) 0 batch_normalization_21[0][0]
activation_16[0][0]
__________________________________________________________________________________________________
activation_19 (Activation) (None, 80, 60, 512) 0 add_6[0][0]
__________________________________________________________________________________________________
conv2d_22 (Conv2D) (None, 80, 60, 512) 262144 activation_19[0][0]
__________________________________________________________________________________________________
batch_normalization_22 (BatchNo (None, 80, 60, 512) 2048 conv2d_22[0][0]
__________________________________________________________________________________________________
activation_20 (Activation) (None, 80, 60, 512) 0 batch_normalization_22[0][0]
__________________________________________________________________________________________________
conv2d_23 (Conv2D) (None, 80, 60, 512) 2359296 activation_20[0][0]
__________________________________________________________________________________________________
batch_normalization_23 (BatchNo (None, 80, 60, 512) 2048 conv2d_23[0][0]
__________________________________________________________________________________________________
activation_21 (Activation) (None, 80, 60, 512) 0 batch_normalization_23[0][0]
__________________________________________________________________________________________________
conv2d_24 (Conv2D) (None, 80, 60, 512) 262144 activation_21[0][0]
__________________________________________________________________________________________________
batch_normalization_24 (BatchNo (None, 80, 60, 512) 2048 conv2d_24[0][0]
__________________________________________________________________________________________________
add_7 (Add) (None, 80, 60, 512) 0 batch_normalization_24[0][0]
activation_19[0][0]
__________________________________________________________________________________________________
activation_22 (Activation) (None, 80, 60, 512) 0 add_7[0][0]
__________________________________________________________________________________________________
conv2d_25 (Conv2D) (None, 40, 30, 512) 262144 activation_22[0][0]
__________________________________________________________________________________________________
batch_normalization_25 (BatchNo (None, 40, 30, 512) 2048 conv2d_25[0][0]
__________________________________________________________________________________________________
activation_23 (Activation) (None, 40, 30, 512) 0 batch_normalization_25[0][0]
__________________________________________________________________________________________________
conv2d_26 (Conv2D) (None, 40, 30, 512) 2359296 activation_23[0][0]
__________________________________________________________________________________________________
batch_normalization_26 (BatchNo (None, 40, 30, 512) 2048 conv2d_26[0][0]
__________________________________________________________________________________________________
activation_24 (Activation) (None, 40, 30, 512) 0 batch_normalization_26[0][0]
__________________________________________________________________________________________________
conv2d_27 (Conv2D) (None, 40, 30, 1024) 524288 activation_24[0][0]
__________________________________________________________________________________________________
conv2d_28 (Conv2D) (None, 40, 30, 1024) 524288 activation_22[0][0]
__________________________________________________________________________________________________
batch_normalization_27 (BatchNo (None, 40, 30, 1024) 4096 conv2d_27[0][0]
__________________________________________________________________________________________________
batch_normalization_28 (BatchNo (None, 40, 30, 1024) 4096 conv2d_28[0][0]
__________________________________________________________________________________________________
add_8 (Add) (None, 40, 30, 1024) 0 batch_normalization_27[0][0]
batch_normalization_28[0][0]
__________________________________________________________________________________________________
activation_25 (Activation) (None, 40, 30, 1024) 0 add_8[0][0]
__________________________________________________________________________________________________
conv2d_29 (Conv2D) (None, 40, 30, 1024) 1048576 activation_25[0][0]
__________________________________________________________________________________________________
batch_normalization_29 (BatchNo (None, 40, 30, 1024) 4096 conv2d_29[0][0]
__________________________________________________________________________________________________
activation_26 (Activation) (None, 40, 30, 1024) 0 batch_normalization_29[0][0]
__________________________________________________________________________________________________
conv2d_30 (Conv2D) (None, 40, 30, 1024) 9437184 activation_26[0][0]
__________________________________________________________________________________________________
batch_normalization_30 (BatchNo (None, 40, 30, 1024) 4096 conv2d_30[0][0]
__________________________________________________________________________________________________
activation_27 (Activation) (None, 40, 30, 1024) 0 batch_normalization_30[0][0]
__________________________________________________________________________________________________
conv2d_31 (Conv2D) (None, 40, 30, 1024) 1048576 activation_27[0][0]
__________________________________________________________________________________________________
batch_normalization_31 (BatchNo (None, 40, 30, 1024) 4096 conv2d_31[0][0]
__________________________________________________________________________________________________
add_9 (Add) (None, 40, 30, 1024) 0 batch_normalization_31[0][0]
activation_25[0][0]
__________________________________________________________________________________________________
activation_28 (Activation) (None, 40, 30, 1024) 0 add_9[0][0]
__________________________________________________________________________________________________
conv2d_32 (Conv2D) (None, 40, 30, 1024) 1048576 activation_28[0][0]
__________________________________________________________________________________________________
batch_normalization_32 (BatchNo (None, 40, 30, 1024) 4096 conv2d_32[0][0]
__________________________________________________________________________________________________
activation_29 (Activation) (None, 40, 30, 1024) 0 batch_normalization_32[0][0]
__________________________________________________________________________________________________
conv2d_33 (Conv2D) (None, 40, 30, 1024) 9437184 activation_29[0][0]
__________________________________________________________________________________________________
batch_normalization_33 (BatchNo (None, 40, 30, 1024) 4096 conv2d_33[0][0]
__________________________________________________________________________________________________
activation_30 (Activation) (None, 40, 30, 1024) 0 batch_normalization_33[0][0]
__________________________________________________________________________________________________
conv2d_34 (Conv2D) (None, 40, 30, 1024) 1048576 activation_30[0][0]
__________________________________________________________________________________________________
batch_normalization_34 (BatchNo (None, 40, 30, 1024) 4096 conv2d_34[0][0]
__________________________________________________________________________________________________
add_10 (Add) (None, 40, 30, 1024) 0 batch_normalization_34[0][0]
activation_28[0][0]
__________________________________________________________________________________________________
activation_31 (Activation) (None, 40, 30, 1024) 0 add_10[0][0]
__________________________________________________________________________________________________
conv2d_35 (Conv2D) (None, 40, 30, 1024) 1048576 activation_31[0][0]
__________________________________________________________________________________________________
batch_normalization_35 (BatchNo (None, 40, 30, 1024) 4096 conv2d_35[0][0]
__________________________________________________________________________________________________
activation_32 (Activation) (None, 40, 30, 1024) 0 batch_normalization_35[0][0]
__________________________________________________________________________________________________
conv2d_36 (Conv2D) (None, 40, 30, 1024) 9437184 activation_32[0][0]
__________________________________________________________________________________________________
batch_normalization_36 (BatchNo (None, 40, 30, 1024) 4096 conv2d_36[0][0]
__________________________________________________________________________________________________
activation_33 (Activation) (None, 40, 30, 1024) 0 batch_normalization_36[0][0]
__________________________________________________________________________________________________
conv2d_37 (Conv2D) (None, 40, 30, 1024) 1048576 activation_33[0][0]
__________________________________________________________________________________________________
batch_normalization_37 (BatchNo (None, 40, 30, 1024) 4096 conv2d_37[0][0]
__________________________________________________________________________________________________
add_11 (Add) (None, 40, 30, 1024) 0 batch_normalization_37[0][0]
activation_31[0][0]
__________________________________________________________________________________________________
activation_34 (Activation) (None, 40, 30, 1024) 0 add_11[0][0]
__________________________________________________________________________________________________
conv2d_38 (Conv2D) (None, 40, 30, 1024) 1048576 activation_34[0][0]
__________________________________________________________________________________________________
batch_normalization_38 (BatchNo (None, 40, 30, 1024) 4096 conv2d_38[0][0]
__________________________________________________________________________________________________
activation_35 (Activation) (None, 40, 30, 1024) 0 batch_normalization_38[0][0]
__________________________________________________________________________________________________
conv2d_39 (Conv2D) (None, 40, 30, 1024) 9437184 activation_35[0][0]
__________________________________________________________________________________________________
batch_normalization_39 (BatchNo (None, 40, 30, 1024) 4096 conv2d_39[0][0]
__________________________________________________________________________________________________
activation_36 (Activation) (None, 40, 30, 1024) 0 batch_normalization_39[0][0]
__________________________________________________________________________________________________
conv2d_40 (Conv2D) (None, 40, 30, 1024) 1048576 activation_36[0][0]
__________________________________________________________________________________________________
batch_normalization_40 (BatchNo (None, 40, 30, 1024) 4096 conv2d_40[0][0]
__________________________________________________________________________________________________
add_12 (Add) (None, 40, 30, 1024) 0 batch_normalization_40[0][0]
activation_34[0][0]
__________________________________________________________________________________________________
activation_37 (Activation) (None, 40, 30, 1024) 0 add_12[0][0]
__________________________________________________________________________________________________
conv2d_41 (Conv2D) (None, 40, 30, 1024) 1048576 activation_37[0][0]
__________________________________________________________________________________________________
batch_normalization_41 (BatchNo (None, 40, 30, 1024) 4096 conv2d_41[0][0]
__________________________________________________________________________________________________
activation_38 (Activation) (None, 40, 30, 1024) 0 batch_normalization_41[0][0]
__________________________________________________________________________________________________
conv2d_42 (Conv2D) (None, 40, 30, 1024) 9437184 activation_38[0][0]
__________________________________________________________________________________________________
batch_normalization_42 (BatchNo (None, 40, 30, 1024) 4096 conv2d_42[0][0]
__________________________________________________________________________________________________
activation_39 (Activation) (None, 40, 30, 1024) 0 batch_normalization_42[0][0]
__________________________________________________________________________________________________
conv2d_43 (Conv2D) (None, 40, 30, 1024) 1048576 activation_39[0][0]
__________________________________________________________________________________________________
batch_normalization_43 (BatchNo (None, 40, 30, 1024) 4096 conv2d_43[0][0]
__________________________________________________________________________________________________
add_13 (Add) (None, 40, 30, 1024) 0 batch_normalization_43[0][0]
activation_37[0][0]
__________________________________________________________________________________________________
activation_40 (Activation) (None, 40, 30, 1024) 0 add_13[0][0]
__________________________________________________________________________________________________
conv2d_44 (Conv2D) (None, 20, 15, 1024) 1048576 activation_40[0][0]
__________________________________________________________________________________________________
batch_normalization_44 (BatchNo (None, 20, 15, 1024) 4096 conv2d_44[0][0]
__________________________________________________________________________________________________
activation_41 (Activation) (None, 20, 15, 1024) 0 batch_normalization_44[0][0]
__________________________________________________________________________________________________
conv2d_45 (Conv2D) (None, 20, 15, 1024) 9437184 activation_41[0][0]
__________________________________________________________________________________________________
batch_normalization_45 (BatchNo (None, 20, 15, 1024) 4096 conv2d_45[0][0]
__________________________________________________________________________________________________
activation_42 (Activation) (None, 20, 15, 1024) 0 batch_normalization_45[0][0]
__________________________________________________________________________________________________
conv2d_46 (Conv2D) (None, 20, 15, 2048) 2097152 activation_42[0][0]
__________________________________________________________________________________________________
conv2d_47 (Conv2D) (None, 20, 15, 2048) 2097152 activation_40[0][0]
__________________________________________________________________________________________________
batch_normalization_46 (BatchNo (None, 20, 15, 2048) 8192 conv2d_46[0][0]
__________________________________________________________________________________________________
batch_normalization_47 (BatchNo (None, 20, 15, 2048) 8192 conv2d_47[0][0]
__________________________________________________________________________________________________
add_14 (Add) (None, 20, 15, 2048) 0 batch_normalization_46[0][0]
batch_normalization_47[0][0]
__________________________________________________________________________________________________
activation_43 (Activation) (None, 20, 15, 2048) 0 add_14[0][0]
__________________________________________________________________________________________________
conv2d_48 (Conv2D) (None, 20, 15, 2048) 4194304 activation_43[0][0]
__________________________________________________________________________________________________
batch_normalization_48 (BatchNo (None, 20, 15, 2048) 8192 conv2d_48[0][0]
__________________________________________________________________________________________________
activation_44 (Activation) (None, 20, 15, 2048) 0 batch_normalization_48[0][0]
__________________________________________________________________________________________________
conv2d_49 (Conv2D) (None, 20, 15, 2048) 37748736 activation_44[0][0]
__________________________________________________________________________________________________
batch_normalization_49 (BatchNo (None, 20, 15, 2048) 8192 conv2d_49[0][0]
__________________________________________________________________________________________________
activation_45 (Activation) (None, 20, 15, 2048) 0 batch_normalization_49[0][0]
__________________________________________________________________________________________________
conv2d_50 (Conv2D) (None, 20, 15, 2048) 4194304 activation_45[0][0]
__________________________________________________________________________________________________
batch_normalization_50 (BatchNo (None, 20, 15, 2048) 8192 conv2d_50[0][0]
__________________________________________________________________________________________________
add_15 (Add) (None, 20, 15, 2048) 0 batch_normalization_50[0][0]
activation_43[0][0]
__________________________________________________________________________________________________
activation_46 (Activation) (None, 20, 15, 2048) 0 add_15[0][0]
__________________________________________________________________________________________________
conv2d_51 (Conv2D) (None, 20, 15, 2048) 4194304 activation_46[0][0]
__________________________________________________________________________________________________
batch_normalization_51 (BatchNo (None, 20, 15, 2048) 8192 conv2d_51[0][0]
__________________________________________________________________________________________________
activation_47 (Activation) (None, 20, 15, 2048) 0 batch_normalization_51[0][0]
__________________________________________________________________________________________________
conv2d_52 (Conv2D) (None, 20, 15, 2048) 37748736 activation_47[0][0]
__________________________________________________________________________________________________
batch_normalization_52 (BatchNo (None, 20, 15, 2048) 8192 conv2d_52[0][0]
__________________________________________________________________________________________________
activation_48 (Activation) (None, 20, 15, 2048) 0 batch_normalization_52[0][0]
__________________________________________________________________________________________________
conv2d_53 (Conv2D) (None, 20, 15, 2048) 4194304 activation_48[0][0]
__________________________________________________________________________________________________
batch_normalization_53 (BatchNo (None, 20, 15, 2048) 8192 conv2d_53[0][0]
__________________________________________________________________________________________________
add_16 (Add) (None, 20, 15, 2048) 0 batch_normalization_53[0][0]
activation_46[0][0]
__________________________________________________________________________________________________
activation_49 (Activation) (None, 20, 15, 2048) 0 add_16[0][0]
__________________________________________________________________________________________________
conv2d_54 (Conv2D) (None, 20, 15, 1024) 2097152 activation_49[0][0]
__________________________________________________________________________________________________
conv2d_55 (Conv2D) (None, 20, 15, 512) 4719104 conv2d_54[0][0]
__________________________________________________________________________________________________
conv2d_56 (Conv2D) (None, 20, 15, 512) 3146240 conv2d_54[0][0]
__________________________________________________________________________________________________
conv2d_57 (Conv2D) (None, 20, 15, 512) 3146240 conv2d_54[0][0]
__________________________________________________________________________________________________
conv2d_58 (Conv2D) (None, 20, 15, 512) 2097664 conv2d_54[0][0]
__________________________________________________________________________________________________
lambda_1 (Lambda) (None, 40, 30, 512) 0 conv2d_55[0][0]
conv2d_56[0][0]
conv2d_57[0][0]
conv2d_58[0][0]
__________________________________________________________________________________________________
activation_50 (Activation) (None, 40, 30, 512) 0 lambda_1[0][0]
__________________________________________________________________________________________________
conv2d_59 (Conv2D) (None, 20, 15, 512) 4719104 conv2d_54[0][0]
__________________________________________________________________________________________________
conv2d_60 (Conv2D) (None, 20, 15, 512) 3146240 conv2d_54[0][0]
__________________________________________________________________________________________________
conv2d_61 (Conv2D) (None, 20, 15, 512) 3146240 conv2d_54[0][0]
__________________________________________________________________________________________________
conv2d_62 (Conv2D) (None, 20, 15, 512) 2097664 conv2d_54[0][0]
__________________________________________________________________________________________________
conv2d_63 (Conv2D) (None, 40, 30, 512) 2359808 activation_50[0][0]
__________________________________________________________________________________________________
lambda_2 (Lambda) (None, 40, 30, 512) 0 conv2d_59[0][0]
conv2d_60[0][0]
conv2d_61[0][0]
conv2d_62[0][0]
__________________________________________________________________________________________________
add_17 (Add) (None, 40, 30, 512) 0 conv2d_63[0][0]
lambda_2[0][0]
__________________________________________________________________________________________________
activation_51 (Activation) (None, 40, 30, 512) 0 add_17[0][0]
__________________________________________________________________________________________________
lambda_3 (Lambda) (None, 40, 30, 1536) 0 activation_51[0][0]
activation_40[0][0]
__________________________________________________________________________________________________
conv2d_64 (Conv2D) (None, 40, 30, 256) 3539200 lambda_3[0][0]
__________________________________________________________________________________________________
conv2d_65 (Conv2D) (None, 40, 30, 256) 2359552 lambda_3[0][0]
__________________________________________________________________________________________________
conv2d_66 (Conv2D) (None, 40, 30, 256) 2359552 lambda_3[0][0]
__________________________________________________________________________________________________
conv2d_67 (Conv2D) (None, 40, 30, 256) 1573120 lambda_3[0][0]
__________________________________________________________________________________________________
lambda_4 (Lambda) (None, 80, 60, 256) 0 conv2d_64[0][0]
conv2d_65[0][0]
conv2d_66[0][0]
conv2d_67[0][0]
__________________________________________________________________________________________________
activation_52 (Activation) (None, 80, 60, 256) 0 lambda_4[0][0]
__________________________________________________________________________________________________
conv2d_68 (Conv2D) (None, 40, 30, 256) 3539200 lambda_3[0][0]
__________________________________________________________________________________________________
conv2d_69 (Conv2D) (None, 40, 30, 256) 2359552 lambda_3[0][0]
__________________________________________________________________________________________________
conv2d_70 (Conv2D) (None, 40, 30, 256) 2359552 lambda_3[0][0]
__________________________________________________________________________________________________
conv2d_71 (Conv2D) (None, 40, 30, 256) 1573120 lambda_3[0][0]
__________________________________________________________________________________________________
conv2d_72 (Conv2D) (None, 80, 60, 256) 590080 activation_52[0][0]
__________________________________________________________________________________________________
lambda_5 (Lambda) (None, 80, 60, 256) 0 conv2d_68[0][0]
conv2d_69[0][0]
conv2d_70[0][0]
conv2d_71[0][0]
__________________________________________________________________________________________________
add_18 (Add) (None, 80, 60, 256) 0 conv2d_72[0][0]
lambda_5[0][0]
__________________________________________________________________________________________________
activation_53 (Activation) (None, 80, 60, 256) 0 add_18[0][0]
__________________________________________________________________________________________________
lambda_6 (Lambda) (None, 80, 60, 768) 0 activation_53[0][0]
activation_22[0][0]
__________________________________________________________________________________________________
conv2d_73 (Conv2D) (None, 80, 60, 128) 884864 lambda_6[0][0]
__________________________________________________________________________________________________
conv2d_74 (Conv2D) (None, 80, 60, 128) 589952 lambda_6[0][0]
__________________________________________________________________________________________________
conv2d_75 (Conv2D) (None, 80, 60, 128) 589952 lambda_6[0][0]
__________________________________________________________________________________________________
conv2d_76 (Conv2D) (None, 80, 60, 128) 393344 lambda_6[0][0]
__________________________________________________________________________________________________
lambda_7 (Lambda) (None, 160, 120, 128 0 conv2d_73[0][0]
conv2d_74[0][0]
conv2d_75[0][0]
conv2d_76[0][0]
__________________________________________________________________________________________________
activation_54 (Activation) (None, 160, 120, 128 0 lambda_7[0][0]
__________________________________________________________________________________________________
conv2d_77 (Conv2D) (None, 80, 60, 128) 884864 lambda_6[0][0]
__________________________________________________________________________________________________
conv2d_78 (Conv2D) (None, 80, 60, 128) 589952 lambda_6[0][0]
__________________________________________________________________________________________________
conv2d_79 (Conv2D) (None, 80, 60, 128) 589952 lambda_6[0][0]
__________________________________________________________________________________________________
conv2d_80 (Conv2D) (None, 80, 60, 128) 393344 lambda_6[0][0]
__________________________________________________________________________________________________
conv2d_81 (Conv2D) (None, 160, 120, 128 147584 activation_54[0][0]
__________________________________________________________________________________________________
lambda_8 (Lambda) (None, 160, 120, 128 0 conv2d_77[0][0]
conv2d_78[0][0]
conv2d_79[0][0]
conv2d_80[0][0]
__________________________________________________________________________________________________
add_19 (Add) (None, 160, 120, 128 0 conv2d_81[0][0]
lambda_8[0][0]
__________________________________________________________________________________________________
activation_55 (Activation) (None, 160, 120, 128 0 add_19[0][0]
__________________________________________________________________________________________________
lambda_9 (Lambda) (None, 160, 120, 384 0 activation_55[0][0]
activation_10[0][0]
__________________________________________________________________________________________________
conv2d_82 (Conv2D) (None, 160, 120, 64) 221248 lambda_9[0][0]
__________________________________________________________________________________________________
conv2d_83 (Conv2D) (None, 160, 120, 64) 147520 lambda_9[0][0]
__________________________________________________________________________________________________
conv2d_84 (Conv2D) (None, 160, 120, 64) 147520 lambda_9[0][0]
__________________________________________________________________________________________________
conv2d_85 (Conv2D) (None, 160, 120, 64) 98368 lambda_9[0][0]
__________________________________________________________________________________________________
lambda_10 (Lambda) (None, 320, 240, 64) 0 conv2d_82[0][0]
conv2d_83[0][0]
conv2d_84[0][0]
conv2d_85[0][0]
__________________________________________________________________________________________________
activation_56 (Activation) (None, 320, 240, 64) 0 lambda_10[0][0]
__________________________________________________________________________________________________
conv2d_86 (Conv2D) (None, 160, 120, 64) 221248 lambda_9[0][0]
__________________________________________________________________________________________________
conv2d_87 (Conv2D) (None, 160, 120, 64) 147520 lambda_9[0][0]
__________________________________________________________________________________________________
conv2d_88 (Conv2D) (None, 160, 120, 64) 147520 lambda_9[0][0]
__________________________________________________________________________________________________
conv2d_89 (Conv2D) (None, 160, 120, 64) 98368 lambda_9[0][0]
__________________________________________________________________________________________________
conv2d_90 (Conv2D) (None, 320, 240, 64) 36928 activation_56[0][0]
__________________________________________________________________________________________________
lambda_11 (Lambda) (None, 320, 240, 64) 0 conv2d_86[0][0]
conv2d_87[0][0]
conv2d_88[0][0]
conv2d_89[0][0]
__________________________________________________________________________________________________
add_20 (Add) (None, 320, 240, 64) 0 conv2d_90[0][0]
lambda_11[0][0]
__________________________________________________________________________________________________
activation_57 (Activation) (None, 320, 240, 64) 0 add_20[0][0]
__________________________________________________________________________________________________
dropout_1 (Dropout) (None, 320, 240, 64) 0 activation_57[0][0]
__________________________________________________________________________________________________
conv2d_91 (Conv2D) (None, 320, 240, 1) 576 dropout_1[0][0]
==================================================================================================
Total params: 236,829,632
Trainable params: 236,739,136
Non-trainable params: 90,496
__________________________________________________________________________________________________