BatchNorm2d() to EfficientDet defaults: decay=0.997 eps=1e-4
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@ -34,7 +34,7 @@ def create_modules(module_defs, img_size, arc):
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groups=mdef['groups'] if 'groups' in mdef else 1,
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groups=mdef['groups'] if 'groups' in mdef else 1,
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bias=not bn))
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bias=not bn))
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if bn:
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if bn:
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modules.add_module('BatchNorm2d', nn.BatchNorm2d(filters, momentum=0.1))
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modules.add_module('BatchNorm2d', nn.BatchNorm2d(filters, momentum=0.003, eps=1E-4))
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else:
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else:
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routs.append(i) # detection output (goes into yolo layer)
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routs.append(i) # detection output (goes into yolo layer)
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