chenjun2hao / DDRNet.pytorch

This is the unofficial code of Deep Dual-resolution Networks for Real-time and Accurate Semantic Segmentation of Road Scenes. which achieve state-of-the-art trade-off between accuracy and speed on cityscapes and camvid, without using inference acceleration and extra data
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How do you evaluate test sets? #20

Open xiaodaomingye459 opened 2 years ago

xiaodaomingye459 commented 2 years ago

I changed TEST_SET in . Yaml and then ran eval.py ,but got an error.

ValueError: not enough values to unpack (expected at least 4, got 3)

SupremeNo11 commented 11 months ago

you ying gai jiang .yaml wenjian' DATASET’ TEST_SET set 成 val.lst。