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5479e1a1b1e3b43af976af6ce46691835591e2daf8c73829b9d6c97d095c14427338a12829b5476b7a8397246b1a79c059613400275c047b4094558984255095
name: "ERFNet"
# initialization is based on Enet (pytorch of ERFNet has its own default initialization method)
layer {
name: "data"
type: "Input"
top: "data"
input_param {
shape {
dim: 1
dim: 3
#
input: "data"
input_dim: 1
input_dim: 3
input_dim: 1024
input_dim: 2048
layer {
name: "data_sub1"
type: "Scale"
@sriharsha0806
sriharsha0806 / ENET
Last active December 23, 2017 16:03
name: "ENet"
input:"data"
input_dim: 1
input_dim: 3
input_dim: 512
input_dim: 512
layer {
name: "conv0_1"
type: "Convolution"
bottom: "data"
name: "VOC-fcn16"
input: "data"
input_dim: 1
input_dim: 3
input_dim: 500
input_dim: 500
layer {
name: "conv1_1"
type: "Convolution"
name: "VOC-fcn32"
input:"data"
input_dim: 1
input_dim: 3
input_dim: 500
input_dim: 500
layer {
name: "conv1_1"
type: "Convolution"
@sriharsha0806
sriharsha0806 / fcn
Last active December 15, 2017 05:54
name: "VOC-fcn8"
input:"data"
input_dim: 1
input_dim: 3
input_dim: 500
input_dim: 500
layer {
name: "conv1_1"
type: "Convolution"
#
input: "data"
input_dim: 1
input_dim: 3
input_dim: 1024
input_dim: 2048
layer {
name: "data_sub1"
type: "Scale"
#
input: "data"
input_dim: 1
input_dim: 3
input_dim: 473
input_dim: 473
layer {
name: "conv1_1_3x3_s2"
type: "Convolution"
name: "segnet"
input:"data"
input_dim: 1
input_dim: 3
input_dim: 224
input_dim: 224
layer {
name: "norm"
type: "LRN"
bottom: "data"