Add models

src/editor/models/res2.py

@@ -0,0 +1,37 @@
+import torch.nn as nn
+
+
+class ResidualBlock(nn.Module):
+    def __init__(self, channels):
+        super(ResidualBlock, self).__init__()
+        self.conv = nn.Sequential(
+            nn.Conv3d(channels, channels, kernel_size=3, padding=1),
+            nn.BatchNorm3d(channels),
+            nn.ReLU(inplace=True),
+            nn.Conv3d(channels, channels, kernel_size=3, padding=1),
+            nn.BatchNorm3d(channels),
+        )
+
+    def forward(self, x):
+        return self.conv(x) + x
+
+
+# Define the network
+class Res2(nn.Module):
+    def __init__(self, bin_count):
+        super(Res2, self).__init__()
+        self.input_layer = nn.Sequential(
+            nn.Conv3d(1, 16, kernel_size=3, padding=1),
+            nn.ReLU(inplace=True),
+            nn.BatchNorm3d(16),
+        )
+        self.res_blocks = nn.Sequential(
+            ResidualBlock(16), ResidualBlock(16), ResidualBlock(16), ResidualBlock(16)
+        )
+        self.output_layer = nn.Conv3d(16, 1, kernel_size=3, padding=1)
+
+    def forward(self, x):
+        x = self.input_layer(x)
+        x = self.res_blocks(x)
+        x = self.output_layer(x)
+        return x