update models/common.py for Conv() flexible padding

models/common.py

@@ -13,7 +13,8 @@ class Conv(nn.Module):
     # Standard convolution
     def __init__(self, c1, c2, k=1, s=1, g=1, act=True):  # ch_in, ch_out, kernel, stride, groups
         super(Conv, self).__init__()
-        self.conv = nn.Conv2d(c1, c2, k, s, k // 2, groups=g, bias=False)
+        p = k // 2 if isinstance(k, int) else [x // 2 for x in k]  # padding
+        self.conv = nn.Conv2d(c1, c2, k, s, p, groups=g, bias=False)
         self.bn = nn.BatchNorm2d(c2)
         self.act = nn.LeakyReLU(0.1, inplace=True) if act else nn.Identity()