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car-detection-bayes
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cleanup/speedup

This commit is contained in:
Glenn Jocher 2020-03-19 16:41:42 -07:00
parent 1b68fe7fde
commit fff45c39a8
1 changed files with 6 additions and 3 deletions
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9
models.py
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@ -105,7 +105,10 @@ def create_modules(module_defs, img_size):
module_list.append(modules)
output_filters.append(filters)
return module_list, routs
routs_binary = [False] * (i + 1)
for i in routs:
routs_binary[i] = True
return module_list, routs_binary
class weightedFeatureFusion(nn.Module): # weighted sum of 2 or more layers https://arxiv.org/abs/1911.09070
@ -292,7 +295,7 @@ class Darknet(nn.Module):
# print(''), [print(out[i].shape) for i in layers], print(x.shape)
elif mtype == 'yolo':
yolo_out.append(module(x, img_size, out))
out.append(x if i in self.routs else [])
out.append(x if self.routs[i] else [])
if verbose:
print('%g/%g %s -' % (i, len(self.module_list), mtype), list(x.shape), str)
str = ''
@ -342,7 +345,7 @@ def create_grids(self, img_size=416, ng=(13, 13), device='cpu', type=torch.float
# build wh gains
self.anchor_vec = self.anchors.to(device) / self.stride
self.anchor_wh = self.anchor_vec.view(1, self.na, 1, 1, 2).to(device).type(type)
self.anchor_wh = self.anchor_vec.view(1, self.na, 1, 1, 2).type(type)
self.ng = torch.Tensor(ng).to(device)
self.nx = nx
self.ny = ny