TypeError: init() missing 1 required positional argument: 'num_classes'
在运行代码中遇到了这个报错
相关代码如下:
class UNet(nn.Module):
def __init__(self,num_classes):
super(UNet, self).__init__()
self.c1=Conv_Block(3,64)
self.d1=DownSample(64)
self.c2=Conv_Block(64,128)
self.d2=DownSample(128)
self.c3=Conv_Block(128,256)
self.d3=DownSample(256)
self.c4=Conv_Block(256,512)
self.d4=DownSample(512)
self.c5=Conv_Block(512,1024)
self.u1=UpSample(1024)
self.c6=Conv_Block(1024,512)
self.u2 = UpSample(512)
self.c7 = Conv_Block(512, 256)
self.u3 = UpSample(256)
self.c8 = Conv_Block(256, 128)
self.u4 = UpSample(128)
self.c9 = Conv_Block(128, 64)
self.out=nn.Conv2d(64,num_classes,3,1,1)
def forward(self,x):
R1=self.c1(x)
R2=self.c2(self.d1(R1))
R3 = self.c3(self.d2(R2))
R4 = self.c4(self.d3(R3))
R5 = self.c5(self.d4(R4))
O1=self.c6(self.u1(R5,R4))
O2 = self.c7(self.u2(O1, R3))
O3 = self.c8(self.u3(O2, R2))
O4 = self.c9(self.u4(O3, R1))
return self.Th(self.out(O4))
return self.out(O4)
if __name__ == '__main__':
x=torch.randn(2,3,256,256)
net=UNet() #报错
print(net(x).shape)
net=UNet()
你这里要传参数进去的