Обнавлена структура проекта

2026-09-28 15:40:05 +10:00
parent 53b9c6d854
commit 056dd87746
17 changed files with 671 additions and 733 deletions
@@ -0,0 +1,53 @@
+import torch
+import torch.nn as nn
+
+
+class AlexNetCustom(nn.Module):
+    def __init__(self,
+                 in_channels: int = 3,
+                 out_classes: int=1_000):
+        super().__init__()
+        
+        self._out_classes = out_classes
+        
+        self.feature = nn.Sequential(
+            nn.Conv2d(in_channels, 96, kernel_size=11, stride=4, padding=2),
+            nn.ReLU(inplace=True),
+            nn.MaxPool2d(kernel_size=3, stride=2),
+            
+            nn.Conv2d(96, 256, kernel_size=5, padding=2),
+            nn.ReLU(inplace=True),
+            nn.MaxPool2d(kernel_size=3, stride=2),
+            
+            nn.Conv2d(256, 384, kernel_size=3, padding=1),
+            nn.ReLU(inplace=True),
+            
+            nn.Conv2d(384, 384, kernel_size=3, padding=1),
+            nn.ReLU(inplace=True),
+            
+            nn.Conv2d(384, 256, kernel_size=3, padding=1),
+            nn.ReLU(inplace=True),
+            nn.MaxPool2d(kernel_size=3, stride=2)
+        )
+        
+        self.avgpool = nn.AdaptiveAvgPool2d((6, 6)) 
+        
+        self.mlp = nn.Sequential(
+            nn.Dropout(p=0.5),
+            nn.Linear(256*6*6, 4096),
+            nn.ReLU(inplace=True),
+            
+            nn.Dropout(p=0.5),
+            nn.Linear(4096, 4096),
+            nn.ReLU(inplace=True),
+            
+            nn.Linear(4096, self._out_classes)
+        )
+        
+    def forward(self, image):
+        x = self.feature(image)
+        x = self.avgpool(x)
+        x = torch.flatten(x, 1)
+        x = self.mlp(x)
+        
+        return x