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name: "RTNet" | |
layer{ | |
type: "Input" | |
name: "input" | |
top: "img" | |
top: "im_info" | |
input_param{ | |
shape { | |
dim: 1 |
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name: "darknet-16c-16x-3d multitask TEST 960x384, offset L3:440, L4: 312, RM DET" | |
# SCNN part: kernel size 5, only Up-Down direction | |
###################### LANE #######################3 | |
layer { | |
name: "input" | |
type: "Input" | |
top: "data" | |
input_param { |
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name: "lane line detection" | |
#layer { | |
# name: "data_lane" | |
# type: "LaneLineData" | |
# top: "data_lane" | |
# top: "label_lane" | |
# transform_param { | |
# mean_value: 95 | |
# mean_value: 99 |
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name: "traffic light recognition (vertical)" | |
layer{ | |
name: "input" | |
type: "Input" | |
top: "data_org" | |
input_param{ | |
shape { | |
dim:1 | |
dim:96 | |
dim:32 |
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name: "traffic light recognition (quadrate)" | |
layer{ | |
name:"input" | |
type: "Input" | |
top: "data_org" | |
input_param{ | |
shape{ | |
dim:1 | |
dim:64 | |
dim:64 |
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name: "traffic light recognition (horizontal)" | |
layer{ | |
name:"input" | |
type: "Input" | |
top: "data_org" | |
input_param{ | |
shape{ | |
dim:1 | |
dim:32 | |
dim:96 |