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SeokjuLee / VPGNet

VPGNet: Vanishing Point Guided Network for Lane and Road Marking Detection and Recognition (ICCV 2017)
MIT License
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caffemodel for VPGNet #9

Open UcanSee opened 6 years ago

UcanSee commented 6 years ago

I have trained a caffemodel from your tutorial, but the test result is bad. I think it is because of little dataset. Could you please tell me where I can download the lane and road marking benchmark which consists of about 20,000 images or give me the caffemodel described in your paper? Thank you very much!

SeokjuLee commented 6 years ago

Hi, the dataset and model are preserved by Samsung Electronics. Please contact Tae-Hee Lee (th810.lee@samsung.com), Hyun Seok Hong (hyunseok76.hong@samsung.com), and Seung-Hoon Han (luoes.han@samsung.com). Thanks!

doem97 commented 3 years ago

@SeokjuLee Hi Dr. SeojkuLee, can you specify what is the data format with VP information in it?

e.g. for no-VP, file list data format is like VPGdata/000001.mat 3 536 184 544 192 15 544 184 552 192 15 552 184 560 192 15 ... which is "filename, label_grid_num, x1a, y1a, x1b, y1b, label_1, x2a, y2a, x2b, label_2, ... xna, yna, xnb, ynb, label_n" You combine road_marking and lane label information into single label_n digit, from 1-8 is lane; from 9-17 is road marking.

Can you show me if I want to extract the VP information myself, how can I add it into this data format?

doem97 commented 3 years ago

Or could you please show me any instance? only one sample image's label file is good.

sandeepnmenon commented 3 years ago

@doem97 Were you able to obtain the instance and the trained model?