VPGNet
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caffemodel for VPGNet
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!
Hi, the dataset and model are preserved by Samsung Electronics. Please contact Tae-Hee Lee ([email protected]), Hyun Seok Hong ([email protected]), and Seung-Hoon Han ([email protected]). Thanks!
@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?
Or could you please show me any instance? only one sample image's label file is good.
@doem97 Were you able to obtain the instance and the trained model?