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car-detection-bayes
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updates

This commit is contained in:
Glenn Jocher 2020-02-22 12:48:24 -08:00
parent b97b88b659
commit b70e39ab9b
1 changed files with 14 additions and 9 deletions
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23
models.py
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@ -133,19 +133,24 @@ class weightedFeatureFusion(nn.Module): # weighted sum of 2 or more layers http
x = x * w[0]
# Fusion
nc = x.shape[1] # number of channels
nc = x.shape[1] # input channels
for i in range(self.n - 1):
a = outputs[self.layers[i]] # feature to add
dc = nc - a.shape[1] # delta channels
ac = a.shape[1] # feature channels
dc = nc - ac # delta channels
# Adjust channels
if dc > 0: # pad
a = nn.ZeroPad2d((0, 0, 0, 0, 0, dc))(a)
elif dc < 0: # slice
a = a[:, :nc]
# Sum
x = x + a * w[i + 1] if self.weight else x + a
if dc > 0: # slice input
# a = nn.ZeroPad2d((0, 0, 0, 0, 0, dc))(a)
x[:, :ac] = x[:, :ac] + (a * w[i + 1] if self.weight else a)
elif dc < 0: # slice feature
if self.n == 2:
return x + (a[:, :nc] * w[i + 1] if self.weight else a[:, :nc])
x = x + (a[:, :nc] * w[i + 1] if self.weight else a[:, :nc])
else: # same shape
if self.n == 2:
return x + (a * w[i + 1] if self.weight else a)
x = x + (a * w[i + 1] if self.weight else a)
return x