L1-SR-GUI/SRCNN-pytorch-master/models.py
2020-11-12 23:30:33 +01:00

16 lines
541 B
Python

from torch import nn
class SRCNN(nn.Module):
def __init__(self, num_channels=1):
super(SRCNN, self).__init__()
self.conv1 = nn.Conv2d(num_channels, 64, kernel_size=9, padding=9 // 2)
self.conv2 = nn.Conv2d(64, 32, kernel_size=5, padding=5 // 2)
self.conv3 = nn.Conv2d(32, num_channels, kernel_size=5, padding=5 // 2)
self.relu = nn.ReLU(inplace=True)
def forward(self, x):
x = self.relu(self.conv1(x))
x = self.relu(self.conv2(x))
x = self.conv3(x)
return x