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car-detection-bayes
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code cleanup

This commit is contained in:
Glenn Jocher 2020-04-13 18:25:59 -07:00
parent ca3a9fcb0b
commit 0dd5f8eee8
1 changed files with 2 additions and 2 deletions
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4
models.py
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@ -159,7 +159,7 @@ class YOLOLayer(nn.Module):
self.anchor_vec = self.anchor_vec.to(device) self.anchor_vec = self.anchor_vec.to(device)
self.anchor_wh = self.anchor_wh.to(device) self.anchor_wh = self.anchor_wh.to(device)
def forward(self, p, img_size, out): def forward(self, p, out):
ASFF = False # https://arxiv.org/abs/1911.09516 ASFF = False # https://arxiv.org/abs/1911.09516
if ASFF: if ASFF:
i, n = self.index, self.nl # index in layers, number of layers i, n = self.index, self.nl # index in layers, number of layers
@ -287,7 +287,7 @@ class Darknet(nn.Module):
str = ' >> ' + ' + '.join(['layer %g %s' % x for x in zip(l, sh)]) str = ' >> ' + ' + '.join(['layer %g %s' % x for x in zip(l, sh)])
x = module(x, out) # WeightedFeatureFusion(), FeatureConcat() x = module(x, out) # WeightedFeatureFusion(), FeatureConcat()
elif name == 'YOLOLayer': elif name == 'YOLOLayer':
yolo_out.append(module(x, img_size, out)) yolo_out.append(module(x, out))
else: # run module directly, i.e. mtype = 'convolutional', 'upsample', 'maxpool', 'batchnorm2d' etc. else: # run module directly, i.e. mtype = 'convolutional', 'upsample', 'maxpool', 'batchnorm2d' etc.
x = module(x) x = module(x)