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car-detection-bayes
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updates

This commit is contained in:
Glenn Jocher 2020-01-23 13:52:17 -08:00
parent ee4f7a324d
commit 07c8a03aa0
1 changed files with 9 additions and 1 deletions
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10
models.py
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@ -224,6 +224,9 @@ class Darknet(nn.Module):
img_size = x.shape[-2:]
layer_outputs = []
output = []
verbose = False
if verbose:
print('0', x.shape)
for i, (mdef, module) in enumerate(zip(self.module_defs, self.module_list)):
mtype = mdef['type']
@ -241,10 +244,15 @@ class Darknet(nn.Module):
x = torch.cat([layer_outputs[i] for i in layers], 1)
# print(''), [print(layer_outputs[i].shape) for i in layers], print(x.shape)
elif mtype == 'shortcut':
x = x + layer_outputs[int(mdef['from'])]
j = int(mdef['from'])
if verbose:
print('shortcut adding layer %g-%s to %g-%s' % (j, layer_outputs[j].shape, i - 1, x.shape))
x = x + layer_outputs[j]
elif mtype == 'yolo':
output.append(module(x, img_size))
layer_outputs.append(x if i in self.routs else [])
if verbose:
print(i, x.shape)
if self.training:
return output