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 } }