blur

stargan/model.py

@@ -105,7 +105,7 @@ class AvgBlurGenerator(nn.Module):
         super(AvgBlurGenerator, self).__init__()
 
         layers = []
-        layers.append(nn.Conv2d(3+c_dim, conv_dim, kernel_size=9, stride=1, padding=3, bias=False))
+        layers.append(nn.Conv2d(3+c_dim, conv_dim, kernel_size=7, stride=1, padding=3, bias=False))
         layers.append(nn.InstanceNorm2d(conv_dim, affine=True, track_running_stats=True))
         layers.append(nn.ReLU(inplace=True))
 

stargan/solver.py

@@ -659,7 +659,7 @@ class Solver(object):
             # print('Saved real and fake images into {}...'.format(result_path))
             # if i == 3:
             #     break
-            if i == 199:
+            if i == 49:
                 break
         
         # Print metrics