minshan

[Mingsen008]

name: "PointCloudModel"
layer {
name: "data"
type: "Input"
top: "data"
input_param { shape: { dim: 1 dim: 9 dim: 64 } }
}
layer {
name: "conv1"
type: "Convolution"
bottom: "data"
top: "conv1"
convolution_param {
num_output: 64
kernel_size: 1
kernel_size: 9
}
}
layer {
name: "conv2"
type: "Convolution"
bottom: "conv1"
top: "conv2"
convolution_param {
num_output: 64
kernel_size: 1
kernel_size: 1
}
}
layer {
name: "conv3"
type: "Convolution"
bottom: "conv2"
top: "conv3"
convolution_param {
num_output: 64
kernel_size: 1
kernel_size: 1
}
}
layer {
name: "conv4"
type: "Convolution"
bottom: "conv3"
top: "conv4"
convolution_param {
num_output: 128
kernel_size: 1
kernel_size: 1
}
}
layer {
name: "conv5"
type: "Convolution"
bottom: "conv4"
top: "conv5"
convolution_param {
num_output: 1024
kernel_size: 1
kernel_size: 1
}
}
layer {
name: "maxpool1"
type: "Pooling"
bottom: "conv5"
top: "maxpool1"
pooling_param {
pool: MAX
kernel_size: 1
kernel_size: 64
}
}
layer {
name: "fc1"
type: "InnerProduct"
bottom: "maxpool1"
top: "fc1"
inner_product_param {
num_output: 256
}
}
layer {
name: "fc2"
type: "InnerProduct"
bottom: "fc1"
top: "fc2"
inner_product_param {
num_output: 128
}
}
layer {
name: "conv6"
type: "Convolution"
bottom: "conv5"
top: "conv6"
convolution_param {
num_output: 512
kernel_size: 1
kernel_size: 1
}
}
layer {
name: "conv7"
type: "Convolution"
bottom: "conv6"
top: "conv7"
convolution_param {
num_output: 256
kernel_size: 1
kernel_size: 1
}
}
layer {
name: "conv8"
type: "Convolution"
bottom: "conv7"
top: "conv8"
convolution_param {
num_output: 13
kernel_size: 1
kernel_size: 1
}
}