summary.py

#--------------------------------------------#
#   该部分代码用于看网络参数
#--------------------------------------------#
import torch
from thop import clever_format, profile
from torchsummary import summary

from nets.centernet import CenterNet_HourglassNet, CenterNet_Resnet50

if __name__ == "__main__":
    input_shape     = [512, 512]
    num_classes     = 20
    
    device  = torch.device("cuda" if torch.cuda.is_available() else "cpu")
    model = CenterNet_Resnet50().to(device)
    summary(model, (3, input_shape[0], input_shape[1]))
    
    dummy_input     = torch.randn(1, 3, input_shape[0], input_shape[1]).to(device)
    flops, params   = profile(model.to(device), (dummy_input, ), verbose=False)
    flops           = flops * 2
    flops, params   = clever_format([flops, params], "%.3f")
    print('Total GFLOPS: %s' % (flops))
    print('Total params: %s' % (params))