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det5-dw96-v3s.zqparams
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det5-dw96-v3s.zqparams
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Input name=data C=3 H=96 W=96
Convolution name=conv1 bottom=data top=conv1 num_output=32 kernel_H=2 kernel_W=2 bias
BatchNormScale name=bn1 bottom=conv1 top=conv1 bias
PReLU name=prelu1 bottom=conv1 top=conv1
DepthwiseConvolution name=conv2_dw bottom=conv1 top=conv2_dw num_output=32 kernel_H=3 kernel_W=3 stride_H=2 stride_W=2 bias
BatchNormScale name=bn2_dw bottom=conv2_dw top=conv2_dw bias
PReLU name=prelu2_dw bottom=conv2_dw top=conv2_dw
Convolution name=conv2_sep bottom=conv2_dw top=conv2_sep num_output=64 kernel_H=1 kernel_W=1 bias
BatchNormScale name=bn2_sep bottom=conv2_sep top=conv2_sep bias
PReLU name=prelu2_sep bottom=conv2_sep top=conv2_sep
DepthwiseConvolution name=conv3_dw bottom=conv2_sep top=conv3_dw num_output=64 kernel_H=3 kernel_W=3 stride_H=2 stride_W=2 bias
BatchNormScale name=bn3_dw bottom=conv3_dw top=conv3_dw bias
PReLU name=prelu3_dw bottom=conv3_dw top=conv3_dw
Convolution name=conv3_sep bottom=conv3_dw top=conv3_sep num_output=128 kernel_H=1 kernel_W=1 bias
BatchNormScale name=bn3_sep bottom=conv3_sep top=conv3_sep bias
PReLU name=prelu3_sep bottom=conv3_sep top=conv3_sep
DepthwiseConvolution name=conv4_dw bottom=conv3_sep top=conv4_dw num_output=128 kernel_H=3 kernel_W=3 stride_H=2 stride_W=2 bias
BatchNormScale name=bn4_dw bottom=conv4_dw top=conv4_dw bias
PReLU name=prelu4_dw bottom=conv4_dw top=conv4_dw
Convolution name=conv4_sep bottom=conv4_dw top=conv4_sep num_output=128 kernel_H=1 kernel_W=1 bias
BatchNormScale name=bn4_sep bottom=conv4_sep top=conv4_sep bias
PReLU name=prelu4_sep bottom=conv4_sep top=conv4_sep
DepthwiseConvolution name=conv5_dw bottom=conv4_sep top=conv5_dw num_output=128 kernel_H=3 kernel_W=3 stride_H=2 stride_W=2 bias
BatchNormScale name=bn5_dw bottom=conv5_dw top=conv5_dw bias
PReLU name=prelu5_dw bottom=conv5_dw top=conv5_dw
Convolution name=conv5_sep bottom=conv5_dw top=conv5_sep num_output=256 kernel_H=1 kernel_W=1 bias
BatchNormScale name=bn5_sep bottom=conv5_sep top=conv5_sep bias
PReLU name=prelu5_sep bottom=conv5_sep top=conv5_sep
DepthwiseConvolution name=conv6_dw bottom=conv5_sep top=conv6_dw num_output=256 kernel_H=3 kernel_W=3 bias
BatchNormScale name=bn6_dw bottom=conv6_dw top=conv6_dw bias
PReLU name=prelu6_dw bottom=conv6_dw top=conv6_dw
Convolution name=conv6_sep bottom=conv6_dw top=conv6_sep num_output=256 kernel_H=1 kernel_W=1 bias
BatchNormScale name=bn6_sep bottom=conv6_sep top=conv6_sep bias
PReLU name=prelu6_sep bottom=conv6_sep top=conv6_sep
DepthwiseConvolution name=conv7_dw bottom=conv6_sep top=conv7_dw num_output=256 kernel_H=3 kernel_W=3 bias
BatchNormScale name=bn7_dw bottom=conv7_dw top=conv7_dw bias
PReLU name=prelu7_dw bottom=conv7_dw top=conv7_dw
Convolution name=conv7_sep bottom=conv7_dw top=conv7_sep num_output=256 kernel_H=1 kernel_W=1 bias
BatchNormScale name=bn7_sep bottom=conv7_sep top=conv7_sep bias
PReLU name=prelu7_sep bottom=conv7_sep top=conv7_sep
InnerProduct name=conv6_3 bottom=conv7_sep top=conv6-3 num_output=212 bias
BatchNormScale name=bn6_3 bottom=conv6-3 top=conv6-3 bias