Research Article

Concrete Surface Crack Recognition Based on Coordinate Attention Neural Networks

Table 1

Experimental parameters of CaNet.

Parameter typeParameter nameParameter setting

Hardware environmentOperating systemWindows 10 (64 bit)
Version number20H2
RAM64 GB(63.8 available)
ProcessorIntel(R) core(TM) i7-9700u
Graphics card2080ti GPU

Software environmentCaNetPython 3.8.12
Pytorch 1.8.2
CUDA 10.2

Training parameter settingBatch size(training)32
Batch size(testing)8
Learning rate
Epoches140
OptimizerAdam optimizer
Loss functionCross entropy loss
Training methodIncremental gradient descent