Ultra Fast Deep Lane Detection With Hybrid Anchor Driven Ordinal Classification (TPAMI 2022)
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han9608 opened this issue 9 months ago · comments
I downloaded curvelanes.pth and config, running demo.py, but the result does not meet my expectation.
Is there anyone know the question?(curvelanes data process is different from others?)
已解决(偷懒方法,临时使用):
pred2coord 函数传一个cfg,dataset,下面改成这个样子:
if dataset == 'Tusimple' or dataset == 'CULane': row_lane_idx = [1, 2] col_lane_idx = [0, 3] else: row_lane_idx = [3, 4, 5, 6] col_lane_idx = [2, 7]
变量含义不明确,有知道的大佬请指导一下(为什么车道只检测出两条)