code cleanup
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@ -159,7 +159,7 @@ class YOLOLayer(nn.Module):
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self.anchor_vec = self.anchor_vec.to(device)
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self.anchor_wh = self.anchor_wh.to(device)
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def forward(self, p, img_size, out):
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def forward(self, p, out):
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ASFF = False # https://arxiv.org/abs/1911.09516
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if ASFF:
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i, n = self.index, self.nl # index in layers, number of layers
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@ -287,7 +287,7 @@ class Darknet(nn.Module):
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str = ' >> ' + ' + '.join(['layer %g %s' % x for x in zip(l, sh)])
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x = module(x, out) # WeightedFeatureFusion(), FeatureConcat()
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elif name == 'YOLOLayer':
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yolo_out.append(module(x, img_size, out))
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yolo_out.append(module(x, out))
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else: # run module directly, i.e. mtype = 'convolutional', 'upsample', 'maxpool', 'batchnorm2d' etc.
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x = module(x)
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