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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Fixes in ddrnet_39.py #15

Open ucLh opened 2 years ago

ucLh commented 2 years ago

There are calls to some non-existent network blocks in ddrnet_39.py. More specifically:

Judging by the ddrnet_23_slim.py that has no such errors, I swapped Bottleneck_last to Bottleneck and SPP_super to DAPPM