Table 1 Experimental configurations.
From: An efficient semantic segmentation method for road crack based on EGA-UNet
experimental facilities | configuration |
|---|---|
CPU | Intel(R) Xeon(R) Gold 6248R |
GPU | NVIDIA RTX3090 |
PyTorch | 1.13.0 |
CUDA | 11.7 |
CUDNN | 8.6.0 |
Optimizer | SGD |
learning rate | 0.01 |
weight decay | 0.0001 |
momentum | 0.9 |
Python | 3.8 |
