new separation loss: absolute vals

losses.py

@@ -46,21 +46,10 @@ def preservation_loss(inputs, outputs):
 def separation_loss(red, green, blue):
     # Separation Component
     # Encourages the model to keep R, G, B values equally separated in the transformed space
-    red, green, blue = red % 1, green % 1, blue % 1
-    red_green_distance = torch.min(
-        torch.abs((red - green)), torch.abs((1 + red - green))
-    )
-    red_blue_distance = torch.min(torch.abs((red - blue)), torch.abs((1 + red - blue)))
-    green_blue_distance = torch.min(
-        torch.abs((green - blue)), torch.abs((1 + green - blue))
-    )
-    # print(red_green_distance, red_blue_distance, green_blue_distance)
-    # we want these distances to be equal to one another
-    return (
-        torch.abs(red_green_distance - red_blue_distance)
-        + torch.abs(red_green_distance - green_blue_distance)
-        + torch.abs(red_blue_distance - green_blue_distance)
-    )
+    red_loss = torch.abs(0 - red)
+    green_loss = torch.abs(1 / 3 - green) / (2 / 3)
+    blue_loss = torch.abs(2 / 3 - blue) / (2 / 3)
+    return red_loss + green_loss + blue_loss
 
 
 def calculate_separation_loss(model):