Changes and added model3

app.py

@@ -64,24 +64,73 @@ class Net2(nn.Module):
         x = F.relu(self.fc2(x))
         x = F.softmax(self.fc3(x), dim=1)
         return x
+class Net(nn.Module):
+    def __init__(self):
+        super(Net, self).__init__()
+        self.conv1 = nn.Conv2d(3, 32, 3, padding=1)
+        self.pool1 = nn.MaxPool2d(2, 2)
+        self.dropout1 = nn.Dropout(0.25)
+
+        self.conv2 = nn.Conv2d(32, 32, 3, padding=1)
+        self.pool2 = nn.MaxPool2d(2, 2)
+        self.dropout2 = nn.Dropout(0.25)
+
+        self.conv3 = nn.Conv2d(32, 32, 3, padding=1)
+        self.pool3 = nn.MaxPool2d(2, 2)
+        self.dropout3 = nn.Dropout(0.25)
+
+        self.conv4 = nn.Conv2d(32, 32, 3, padding=1)
+        self.pool4 = nn.MaxPool2d(2, 2)
+        self.dropout4 = nn.Dropout(0.25)
+
+        self.flatten = nn.Flatten()
+
+        self.fc1 = nn.Linear(32 * 5 * 5, 200)
+        self.fc2 = nn.Linear(200, 150)
+        self.fc3 = nn.Linear(150, 2)
+
+    def forward(self, x):
+        x = F.relu(self.conv1(x))
+        x = self.pool1(x)
+        x = self.dropout1(x)
+
+        x = F.relu(self.conv2(x))
+        x = self.pool2(x)
+        x = self.dropout2(x)
+
+        x = F.relu(self.conv3(x))
+        x = self.pool3(x)
+        x = self.dropout3(x)
+
+        x = F.relu(self.conv4(x))
+        x = self.pool4(x)
+        x = self.dropout4(x)
+
+        x = self.flatten(x)
+        x = F.relu(self.fc1(x))
+        x = F.relu(self.fc2(x))
+        x = torch.sigmoid(self.fc3(x))
+        return x
 
+model = None
+model_path = "model3.pth"
 
 model2 = None
 model2_path = "model4.pth"
 
-if os.path.exists(model2_path):
-    state_dict = torch.load(model2_path, map_location=torch.device('cpu'))
+if os.path.exists(model_path):
+    state_dict = torch.load(model_path, map_location=torch.device('cpu'))
     new_state_dict = {}
     for key, value in state_dict.items():
         new_key = key.replace("module.", "")
         new_state_dict[new_key] = value
 
-    model = Net2()
+    model = Net()
     model.load_state_dict(new_state_dict)
     model.eval()
 
 else:
-    print("Model file not found at", model2_path)
+    print("Model file not found at", model_path)
 
 
 def process_image(input_image):

model3.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:71441727a850152f5a1470607decc8800e09b14e8e2ae15efb77d6723decee25
+size 882027