Update nets/esrgan.py

nets/esrgan.py

@@ -57,7 +57,7 @@ class UpsampleBLock(nn.Module):
         return x
 
 class Generator(nn.Module):
-    def __init__(self, scale_factor, channels=3, filters=64, num_res_blocks=4):
+    def __init__(self, scale_factor, channels=3, filters=64, num_res_blocks=6):
         super(Generator, self).__init__()
         upsample_block_num = int(math.log(scale_factor, 2))
         # 第一个卷积层