提交 5387d474 authored 作者: Glenn Jocher's avatar Glenn Jocher

update common.py add Classify()

上级 37acbdc0
......@@ -76,12 +76,6 @@ class SPP(nn.Module):
return self.cv2(torch.cat([x] + [m(x) for m in self.m], 1))
class Flatten(nn.Module):
# Use after nn.AdaptiveAvgPool2d(1) to remove last 2 dimensions
def forward(self, x):
return x.view(x.size(0), -1)
class Focus(nn.Module):
# Focus wh information into c-space
def __init__(self, c1, c2, k=1, s=1, p=None, g=1, act=True): # ch_in, ch_out, kernel, stride, padding, groups
......@@ -100,3 +94,22 @@ class Concat(nn.Module):
def forward(self, x):
return torch.cat(x, self.d)
class Flatten(nn.Module):
# Use after nn.AdaptiveAvgPool2d(1) to remove last 2 dimensions
@staticmethod
def forward(x):
return x.view(x.size(0), -1)
class Classify(nn.Module):
# Classification head, i.e. x(b,c1,20,20) to x(b,c2)
def __init__(self, c1, c2, k=1, s=1, p=None, g=1): # ch_in, ch_out, kernel, stride, padding, groups
super(Classify, self).__init__()
self.aap = nn.AdaptiveAvgPool2d(1) # to x(b,c1,1,1)
self.conv = nn.Conv2d(c1, c2, k, s, autopad(k, p), groups=g, bias=False) # to x(b,c2,1,1)
self.flat = Flatten()
def forward(self, x):
return self.flat(self.conv(self.aap(x))) # flatten to x(b,c2)
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