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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 |
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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 (vertical)" | |
| layer{ | |
| name: "input" | |
| type: "Input" | |
| top: "data_org" | |
| input_param{ | |
| shape { | |
| dim:1 | |
| dim:96 | |
| dim:32 |
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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: "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: "RTNet" | |
| layer{ | |
| type: "Input" | |
| name: "input" | |
| top: "img" | |
| top: "im_info" | |
| input_param{ | |
| shape { | |
| dim: 1 |