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caffe-ssd网络结构分析(东方耀)
caffe网络在线可视化工具(需要翻墙):http://ethereon.github.io/netscope/#/editor
层名+输出特征图的shape:data (1, 3, 300, 300)
层名+输出特征图的shape:data_input_0_split_0 (1, 3, 300, 300)
层名+输出特征图的shape:data_input_0_split_1 (1, 3, 300, 300)
层名+输出特征图的shape:data_input_0_split_2 (1, 3, 300, 300)
层名+输出特征图的shape:data_input_0_split_3 (1, 3, 300, 300)
层名+输出特征图的shape:data_input_0_split_4 (1, 3, 300, 300)
层名+输出特征图的shape:data_input_0_split_5 (1, 3, 300, 300)
层名+输出特征图的shape:data_input_0_split_6 (1, 3, 300, 300)
层名+输出特征图的shape:conv1_1 (1, 32, 300, 300)
层名+输出特征图的shape:conv1_2 (1, 32, 300, 300)
层名+输出特征图的shape:pool1 (1, 32, 150, 150)
层名+输出特征图的shape:conv2_1 (1, 64, 150, 150)
层名+输出特征图的shape:conv2_2 (1, 64, 150, 150)
层名+输出特征图的shape:pool2 (1, 64, 75, 75)
层名+输出特征图的shape:conv3_1 (1, 128, 75, 75)
层名+输出特征图的shape:conv3_3 (1, 128, 75, 75)
层名+输出特征图的shape:pool3 (1, 128, 38, 38)
层名+输出特征图的shape:conv4_1 (1, 256, 38, 38)
层名+输出特征图的shape:conv4_3 (1, 256, 38, 38)
层名+输出特征图的shape:conv4_3_relu4_3_0_split_0 (1, 256, 38, 38)
层名+输出特征图的shape:conv4_3_relu4_3_0_split_1 (1, 256, 38, 38)
层名+输出特征图的shape:pool4 (1, 256, 19, 19)
层名+输出特征图的shape:conv5_1 (1, 256, 19, 19)
层名+输出特征图的shape:conv5_3 (1, 256, 19, 19)
层名+输出特征图的shape:conv5_3_relu5_3_0_split_0 (1, 256, 19, 19)
层名+输出特征图的shape:conv5_3_relu5_3_0_split_1 (1, 256, 19, 19)
层名+输出特征图的shape:conv5_3_relu5_3_0_split_2 (1, 256, 19, 19)
层名+输出特征图的shape:conv5_3_relu5_3_0_split_3 (1, 256, 19, 19)
层名+输出特征图的shape:conv6_1 (1, 256, 19, 19)
层名+输出特征图的shape:conv6_2 (1, 512, 10, 10)
层名+输出特征图的shape:conv6_2_conv6_2_relu_0_split_0 (1, 512, 10, 10)
层名+输出特征图的shape:conv6_2_conv6_2_relu_0_split_1 (1, 512, 10, 10)
层名+输出特征图的shape:conv6_2_conv6_2_relu_0_split_2 (1, 512, 10, 10)
层名+输出特征图的shape:conv6_2_conv6_2_relu_0_split_3 (1, 512, 10, 10)
层名+输出特征图的shape:conv7_1 (1, 128, 10, 10)
层名+输出特征图的shape:conv7_2 (1, 256, 5, 5)
层名+输出特征图的shape:conv7_2_conv7_2_relu_0_split_0 (1, 256, 5, 5)
层名+输出特征图的shape:conv7_2_conv7_2_relu_0_split_1 (1, 256, 5, 5)
层名+输出特征图的shape:conv7_2_conv7_2_relu_0_split_2 (1, 256, 5, 5)
层名+输出特征图的shape:conv7_2_conv7_2_relu_0_split_3 (1, 256, 5, 5)
层名+输出特征图的shape:conv8_1 (1, 128, 5, 5)
层名+输出特征图的shape:conv8_2 (1, 256, 3, 3)
层名+输出特征图的shape:conv8_2_conv8_2_relu_0_split_0 (1, 256, 3, 3)
层名+输出特征图的shape:conv8_2_conv8_2_relu_0_split_1 (1, 256, 3, 3)
层名+输出特征图的shape:conv8_2_conv8_2_relu_0_split_2 (1, 256, 3, 3)
层名+输出特征图的shape:conv8_2_conv8_2_relu_0_split_3 (1, 256, 3, 3)
层名+输出特征图的shape:conv9_1 (1, 128, 3, 3)
层名+输出特征图的shape:conv9_2 (1, 256, 1, 1)
层名+输出特征图的shape:conv9_2_conv9_2_relu_0_split_0 (1, 256, 1, 1)
层名+输出特征图的shape:conv9_2_conv9_2_relu_0_split_1 (1, 256, 1, 1)
层名+输出特征图的shape:conv9_2_conv9_2_relu_0_split_2 (1, 256, 1, 1)
层名+输出特征图的shape:conv4_3_norm (1, 256, 38, 38)
层名+输出特征图的shape:conv4_3_norm_conv4_3_norm_0_split_0 (1, 256, 38, 38)
层名+输出特征图的shape:conv4_3_norm_conv4_3_norm_0_split_1 (1, 256, 38, 38)
层名+输出特征图的shape:conv4_3_norm_conv4_3_norm_0_split_2 (1, 256, 38, 38)
层名+输出特征图的shape:conv4_3_norm_mbox_loc (1, 16, 38, 38)
层名+输出特征图的shape:conv4_3_norm_mbox_loc_perm (1, 38, 38, 16)
层名+输出特征图的shape:conv4_3_norm_mbox_loc_flat (1, 23104)
层名+输出特征图的shape:conv4_3_norm_mbox_conf (1, 8, 38, 38)
层名+输出特征图的shape:conv4_3_norm_mbox_conf_perm (1, 38, 38, 8)
层名+输出特征图的shape:conv4_3_norm_mbox_conf_flat (1, 11552)
层名+输出特征图的shape:conv4_3_norm_mbox_priorbox (1, 2, 23104)
层名+输出特征图的shape:conv5_3_mbox_loc (1, 24, 19, 19)
层名+输出特征图的shape:conv5_3_mbox_loc_perm (1, 19, 19, 24)
层名+输出特征图的shape:conv5_3_mbox_loc_flat (1, 8664)
层名+输出特征图的shape:conv5_3_mbox_conf (1, 12, 19, 19)
层名+输出特征图的shape:conv5_3_mbox_conf_perm (1, 19, 19, 12)
层名+输出特征图的shape:conv5_3_mbox_conf_flat (1, 4332)
层名+输出特征图的shape:conv5_3_mbox_priorbox (1, 2, 8664)
层名+输出特征图的shape:conv6_2_mbox_loc (1, 24, 10, 10)
层名+输出特征图的shape:conv6_2_mbox_loc_perm (1, 10, 10, 24)
层名+输出特征图的shape:conv6_2_mbox_loc_flat (1, 2400)
层名+输出特征图的shape:conv6_2_mbox_conf (1, 12, 10, 10)
层名+输出特征图的shape:conv6_2_mbox_conf_perm (1, 10, 10, 12)
层名+输出特征图的shape:conv6_2_mbox_conf_flat (1, 1200)
层名+输出特征图的shape:conv6_2_mbox_priorbox (1, 2, 2400)
层名+输出特征图的shape:conv7_2_mbox_loc (1, 24, 5, 5)
层名+输出特征图的shape:conv7_2_mbox_loc_perm (1, 5, 5, 24)
层名+输出特征图的shape:conv7_2_mbox_loc_flat (1, 600)
层名+输出特征图的shape:conv7_2_mbox_conf (1, 12, 5, 5)
层名+输出特征图的shape:conv7_2_mbox_conf_perm (1, 5, 5, 12)
层名+输出特征图的shape:conv7_2_mbox_conf_flat (1, 300)
层名+输出特征图的shape:conv7_2_mbox_priorbox (1, 2, 600)
层名+输出特征图的shape:conv8_2_mbox_loc (1, 16, 3, 3)
层名+输出特征图的shape:conv8_2_mbox_loc_perm (1, 3, 3, 16)
层名+输出特征图的shape:conv8_2_mbox_loc_flat (1, 144)
层名+输出特征图的shape:conv8_2_mbox_conf (1, 8, 3, 3)
层名+输出特征图的shape:conv8_2_mbox_conf_perm (1, 3, 3, 8)
层名+输出特征图的shape:conv8_2_mbox_conf_flat (1, 72)
层名+输出特征图的shape:conv8_2_mbox_priorbox (1, 2, 144)
层名+输出特征图的shape:conv9_2_mbox_loc (1, 16, 1, 1)
层名+输出特征图的shape:conv9_2_mbox_loc_perm (1, 1, 1, 16)
层名+输出特征图的shape:conv9_2_mbox_loc_flat (1, 16)
层名+输出特征图的shape:conv9_2_mbox_conf (1, 8, 1, 1)
层名+输出特征图的shape:conv9_2_mbox_conf_perm (1, 1, 1, 8)
层名+输出特征图的shape:conv9_2_mbox_conf_flat (1, 8)
层名+输出特征图的shape:conv9_2_mbox_priorbox (1, 2, 16)
层名+输出特征图的shape:mbox_loc (1, 34928)
层名+输出特征图的shape:mbox_conf (1, 17464)
层名+输出特征图的shape:mbox_priorbox (1, 2, 34928)
层名+输出特征图的shape:mbox_conf_reshape (1, 8732, 2)
层名+输出特征图的shape:mbox_conf_softmax (1, 8732, 2)
层名+输出特征图的shape:mbox_conf_flatten (1, 17464)
层名+输出特征图的shape:detection_out (1, 1, 200, 7)
# 定义了detection out prior box层的输入
# 38*38 19*19 10*10 5*5 3*3 1*1
mbox_source_layers = ['conv4_3', 'conv5_3', 'conv6_2', 'conv7_2', 'conv8_2', 'conv9_2']
层名+卷积核W参数的shape:conv1_1 (32, 3, 3, 3)
层名+卷积核W参数的shape:conv1_2 (32, 32, 3, 3)
层名+卷积核W参数的shape:conv2_1 (64, 32, 3, 3)
层名+卷积核W参数的shape:conv2_2 (64, 64, 3, 3)
层名+卷积核W参数的shape:conv3_1 (128, 64, 3, 3)
层名+卷积核W参数的shape:conv3_3 (128, 128, 3, 3)
层名+卷积核W参数的shape:conv4_1 (256, 128, 3, 3)
层名+卷积核W参数的shape:conv4_3 (256, 256, 3, 3)
层名+卷积核W参数的shape:conv5_1 (256, 256, 3, 3)
层名+卷积核W参数的shape:conv5_3 (256, 256, 3, 3)
层名+卷积核W参数的shape:conv6_1 (256, 256, 1, 1)
层名+卷积核W参数的shape:conv6_2 (512, 256, 3, 3)
层名+卷积核W参数的shape:conv7_1 (128, 512, 1, 1)
层名+卷积核W参数的shape:conv7_2 (256, 128, 3, 3)
层名+卷积核W参数的shape:conv8_1 (128, 256, 1, 1)
层名+卷积核W参数的shape:conv8_2 (256, 128, 3, 3)
层名+卷积核W参数的shape:conv9_1 (128, 256, 1, 1)
层名+卷积核W参数的shape:conv9_2 (256, 128, 3, 3)
层名+卷积核W参数的shape:conv4_3_norm (256,)
层名+卷积核W参数的shape:conv4_3_norm_mbox_loc (16, 256, 3, 3)
层名+卷积核W参数的shape:conv4_3_norm_mbox_conf (8, 256, 3, 3)
层名+卷积核W参数的shape:conv5_3_mbox_loc (24, 256, 3, 3)
层名+卷积核W参数的shape:conv5_3_mbox_conf (12, 256, 3, 3)
层名+卷积核W参数的shape:conv6_2_mbox_loc (24, 512, 3, 3)
层名+卷积核W参数的shape:conv6_2_mbox_conf (12, 512, 3, 3)
层名+卷积核W参数的shape:conv7_2_mbox_loc (24, 256, 3, 3)
层名+卷积核W参数的shape:conv7_2_mbox_conf (12, 256, 3, 3)
层名+卷积核W参数的shape:conv8_2_mbox_loc (16, 256, 3, 3)
层名+卷积核W参数的shape:conv8_2_mbox_conf (8, 256, 3, 3)
层名+卷积核W参数的shape:conv9_2_mbox_loc (16, 256, 3, 3)
层名+卷积核W参数的shape:conv9_2_mbox_conf (8, 256, 3, 3)
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