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log.txt
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log.txt
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__________________________________________________________________________________________________
Layer (type) Output Shape Param # Connected to
==================================================================================================
input_1 (InputLayer) (None, 300, 300, 3) 0
__________________________________________________________________________________________________
identity_layer (Lambda) (None, 300, 300, 3) 0 input_1[0][0]
__________________________________________________________________________________________________
input_mean_normalization (Lambd (None, 300, 300, 3) 0 identity_layer[0][0]
__________________________________________________________________________________________________
input_channel_swap (Lambda) (None, 300, 300, 3) 0 input_mean_normalization[0][0]
__________________________________________________________________________________________________
conv1_1 (Conv2D) (None, 300, 300, 64) 1792 input_channel_swap[0][0]
__________________________________________________________________________________________________
conv1_2 (Conv2D) (None, 300, 300, 64) 36928 conv1_1[0][0]
__________________________________________________________________________________________________
pool1 (MaxPooling2D) (None, 150, 150, 64) 0 conv1_2[0][0]
__________________________________________________________________________________________________
conv2_1 (Conv2D) (None, 150, 150, 128 73856 pool1[0][0]
__________________________________________________________________________________________________
conv2_2 (Conv2D) (None, 150, 150, 128 147584 conv2_1[0][0]
__________________________________________________________________________________________________
pool2 (MaxPooling2D) (None, 75, 75, 128) 0 conv2_2[0][0]
__________________________________________________________________________________________________
conv3_1 (Conv2D) (None, 75, 75, 256) 295168 pool2[0][0]
__________________________________________________________________________________________________
conv3_2 (Conv2D) (None, 75, 75, 256) 590080 conv3_1[0][0]
__________________________________________________________________________________________________
conv3_3 (Conv2D) (None, 75, 75, 256) 590080 conv3_2[0][0]
__________________________________________________________________________________________________
pool3 (MaxPooling2D) (None, 38, 38, 256) 0 conv3_3[0][0]
__________________________________________________________________________________________________
conv4_1 (Conv2D) (None, 38, 38, 512) 1180160 pool3[0][0]
__________________________________________________________________________________________________
conv4_2 (Conv2D) (None, 38, 38, 512) 2359808 conv4_1[0][0]
__________________________________________________________________________________________________
conv4_3 (Conv2D) (None, 38, 38, 512) 2359808 conv4_2[0][0]
__________________________________________________________________________________________________
pool4 (MaxPooling2D) (None, 19, 19, 512) 0 conv4_3[0][0]
__________________________________________________________________________________________________
conv5_1 (Conv2D) (None, 19, 19, 512) 2359808 pool4[0][0]
__________________________________________________________________________________________________
conv5_2 (Conv2D) (None, 19, 19, 512) 2359808 conv5_1[0][0]
__________________________________________________________________________________________________
conv5_3 (Conv2D) (None, 19, 19, 512) 2359808 conv5_2[0][0]
__________________________________________________________________________________________________
pool5 (MaxPooling2D) (None, 19, 19, 512) 0 conv5_3[0][0]
__________________________________________________________________________________________________
fc6 (Conv2D) (None, 19, 19, 1024) 4719616 pool5[0][0]
__________________________________________________________________________________________________
fc7 (Conv2D) (None, 19, 19, 1024) 1049600 fc6[0][0]
__________________________________________________________________________________________________
conv6_1 (Conv2D) (None, 19, 19, 256) 262400 fc7[0][0]
__________________________________________________________________________________________________
conv6_padding (ZeroPadding2D) (None, 21, 21, 256) 0 conv6_1[0][0]
__________________________________________________________________________________________________
conv6_2 (Conv2D) (None, 10, 10, 512) 1180160 conv6_padding[0][0]
__________________________________________________________________________________________________
conv7_1 (Conv2D) (None, 10, 10, 128) 65664 conv6_2[0][0]
__________________________________________________________________________________________________
conv7_padding (ZeroPadding2D) (None, 12, 12, 128) 0 conv7_1[0][0]
__________________________________________________________________________________________________
conv7_2 (Conv2D) (None, 5, 5, 256) 295168 conv7_padding[0][0]
__________________________________________________________________________________________________
conv8_1 (Conv2D) (None, 5, 5, 128) 32896 conv7_2[0][0]
__________________________________________________________________________________________________
conv8_2 (Conv2D) (None, 3, 3, 256) 295168 conv8_1[0][0]
__________________________________________________________________________________________________
conv9_1 (Conv2D) (None, 3, 3, 128) 32896 conv8_2[0][0]
__________________________________________________________________________________________________
conv4_3_norm (L2Normalization) (None, 38, 38, 512) 512 conv4_3[0][0]
__________________________________________________________________________________________________
conv9_2 (Conv2D) (None, 1, 1, 256) 295168 conv9_1[0][0]
__________________________________________________________________________________________________
conv4_3_norm_mbox_conf (Conv2D) (None, 38, 38, 84) 387156 conv4_3_norm[0][0]
__________________________________________________________________________________________________
fc7_mbox_conf (Conv2D) (None, 19, 19, 126) 1161342 fc7[0][0]
__________________________________________________________________________________________________
conv6_2_mbox_conf (Conv2D) (None, 10, 10, 126) 580734 conv6_2[0][0]
__________________________________________________________________________________________________
conv7_2_mbox_conf (Conv2D) (None, 5, 5, 126) 290430 conv7_2[0][0]
__________________________________________________________________________________________________
conv8_2_mbox_conf (Conv2D) (None, 3, 3, 84) 193620 conv8_2[0][0]
__________________________________________________________________________________________________
conv9_2_mbox_conf (Conv2D) (None, 1, 1, 84) 193620 conv9_2[0][0]
__________________________________________________________________________________________________
conv4_3_norm_mbox_loc (Conv2D) (None, 38, 38, 16) 73744 conv4_3_norm[0][0]
__________________________________________________________________________________________________
fc7_mbox_loc (Conv2D) (None, 19, 19, 24) 221208 fc7[0][0]
__________________________________________________________________________________________________
conv6_2_mbox_loc (Conv2D) (None, 10, 10, 24) 110616 conv6_2[0][0]
__________________________________________________________________________________________________
conv7_2_mbox_loc (Conv2D) (None, 5, 5, 24) 55320 conv7_2[0][0]
__________________________________________________________________________________________________
conv8_2_mbox_loc (Conv2D) (None, 3, 3, 16) 36880 conv8_2[0][0]
__________________________________________________________________________________________________
conv9_2_mbox_loc (Conv2D) (None, 1, 1, 16) 36880 conv9_2[0][0]
__________________________________________________________________________________________________
conv4_3_norm_mbox_conf_reshape (None, 5776, 21) 0 conv4_3_norm_mbox_conf[0][0]
__________________________________________________________________________________________________
fc7_mbox_conf_reshape (Reshape) (None, 2166, 21) 0 fc7_mbox_conf[0][0]
__________________________________________________________________________________________________
conv6_2_mbox_conf_reshape (Resh (None, 600, 21) 0 conv6_2_mbox_conf[0][0]
__________________________________________________________________________________________________
conv7_2_mbox_conf_reshape (Resh (None, 150, 21) 0 conv7_2_mbox_conf[0][0]
__________________________________________________________________________________________________
conv8_2_mbox_conf_reshape (Resh (None, 36, 21) 0 conv8_2_mbox_conf[0][0]
__________________________________________________________________________________________________
conv9_2_mbox_conf_reshape (Resh (None, 4, 21) 0 conv9_2_mbox_conf[0][0]
__________________________________________________________________________________________________
conv4_3_norm_mbox_priorbox (Anc (None, 38, 38, 4, 8) 0 conv4_3_norm_mbox_loc[0][0]
__________________________________________________________________________________________________
fc7_mbox_priorbox (AnchorBoxes) (None, 19, 19, 6, 8) 0 fc7_mbox_loc[0][0]
__________________________________________________________________________________________________
conv6_2_mbox_priorbox (AnchorBo (None, 10, 10, 6, 8) 0 conv6_2_mbox_loc[0][0]
__________________________________________________________________________________________________
conv7_2_mbox_priorbox (AnchorBo (None, 5, 5, 6, 8) 0 conv7_2_mbox_loc[0][0]
__________________________________________________________________________________________________
conv8_2_mbox_priorbox (AnchorBo (None, 3, 3, 4, 8) 0 conv8_2_mbox_loc[0][0]
__________________________________________________________________________________________________
conv9_2_mbox_priorbox (AnchorBo (None, 1, 1, 4, 8) 0 conv9_2_mbox_loc[0][0]
__________________________________________________________________________________________________
mbox_conf (Concatenate) (None, 8732, 21) 0 conv4_3_norm_mbox_conf_reshape[0]
fc7_mbox_conf_reshape[0][0]
conv6_2_mbox_conf_reshape[0][0]
conv7_2_mbox_conf_reshape[0][0]
conv8_2_mbox_conf_reshape[0][0]
conv9_2_mbox_conf_reshape[0][0]
__________________________________________________________________________________________________
conv4_3_norm_mbox_loc_reshape ( (None, 5776, 4) 0 conv4_3_norm_mbox_loc[0][0]
__________________________________________________________________________________________________
fc7_mbox_loc_reshape (Reshape) (None, 2166, 4) 0 fc7_mbox_loc[0][0]
__________________________________________________________________________________________________
conv6_2_mbox_loc_reshape (Resha (None, 600, 4) 0 conv6_2_mbox_loc[0][0]
__________________________________________________________________________________________________
conv7_2_mbox_loc_reshape (Resha (None, 150, 4) 0 conv7_2_mbox_loc[0][0]
__________________________________________________________________________________________________
conv8_2_mbox_loc_reshape (Resha (None, 36, 4) 0 conv8_2_mbox_loc[0][0]
__________________________________________________________________________________________________
conv9_2_mbox_loc_reshape (Resha (None, 4, 4) 0 conv9_2_mbox_loc[0][0]
__________________________________________________________________________________________________
conv4_3_norm_mbox_priorbox_resh (None, 5776, 8) 0 conv4_3_norm_mbox_priorbox[0][0]
__________________________________________________________________________________________________
fc7_mbox_priorbox_reshape (Resh (None, 2166, 8) 0 fc7_mbox_priorbox[0][0]
__________________________________________________________________________________________________
conv6_2_mbox_priorbox_reshape ( (None, 600, 8) 0 conv6_2_mbox_priorbox[0][0]
__________________________________________________________________________________________________
conv7_2_mbox_priorbox_reshape ( (None, 150, 8) 0 conv7_2_mbox_priorbox[0][0]
__________________________________________________________________________________________________
conv8_2_mbox_priorbox_reshape ( (None, 36, 8) 0 conv8_2_mbox_priorbox[0][0]
__________________________________________________________________________________________________
conv9_2_mbox_priorbox_reshape ( (None, 4, 8) 0 conv9_2_mbox_priorbox[0][0]
__________________________________________________________________________________________________
mbox_conf_softmax (Activation) (None, 8732, 21) 0 mbox_conf[0][0]
__________________________________________________________________________________________________
mbox_loc (Concatenate) (None, 8732, 4) 0 conv4_3_norm_mbox_loc_reshape[0][
fc7_mbox_loc_reshape[0][0]
conv6_2_mbox_loc_reshape[0][0]
conv7_2_mbox_loc_reshape[0][0]
conv8_2_mbox_loc_reshape[0][0]
conv9_2_mbox_loc_reshape[0][0]
__________________________________________________________________________________________________
mbox_priorbox (Concatenate) (None, 8732, 8) 0 conv4_3_norm_mbox_priorbox_reshap
fc7_mbox_priorbox_reshape[0][0]
conv6_2_mbox_priorbox_reshape[0][
conv7_2_mbox_priorbox_reshape[0][
conv8_2_mbox_priorbox_reshape[0][
conv9_2_mbox_priorbox_reshape[0][
__________________________________________________________________________________________________
predictions (Concatenate) (None, 8732, 33) 0 mbox_conf_softmax[0][0]
mbox_loc[0][0]
mbox_priorbox[0][0]
==================================================================================================
Total params: 26,285,486
Trainable params: 26,285,486
Non-trainable params: 0
__________________________________________________________________________________________________
__________________________________________________________________________________________________
Layer (type) Output Shape Param # Connected to
==================================================================================================
input_1 (InputLayer) (None, 300, 300, 3) 0
__________________________________________________________________________________________________
lambda_1 (Lambda) (None, 300, 300, 3) 0 input_1[0][0]
__________________________________________________________________________________________________
lambda_2 (Lambda) (None, 300, 300, 3) 0 input_1[0][0]
__________________________________________________________________________________________________
lambda_3 (Lambda) (None, 300, 300, 3) 0 input_1[0][0]
__________________________________________________________________________________________________
lambda_4 (Lambda) (None, 300, 300, 3) 0 input_1[0][0]
__________________________________________________________________________________________________
model_1 (Model) (None, 8732, 33) 26285486 lambda_1[0][0]
lambda_2[0][0]
lambda_3[0][0]
lambda_4[0][0]
__________________________________________________________________________________________________
predictions (Concatenate) (None, 8732, 33) 0 model_1[1][0]
model_1[2][0]
model_1[3][0]
model_1[4][0]
==================================================================================================
Total params: 26,285,486
Trainable params: 26,285,486
Non-trainable params: 0
__________________________________________________________________________________________________
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Number of images in the training dataset: 16551
Number of images in the validation dataset: 4952
Epoch 1/120
Epoch 00001: LearningRateScheduler setting learning rate to 0.001.
1/1000 [..............................] - ETA: 4:08:56 - loss: 31.1347
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