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noticed hardcoded inplanes under ResNet implementation #751

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noticed hardcoded inplanes under ResNet implementation #751

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noticed hardcoded inplanes under ResNet implementation 
If you compare this with the PyTorch implementation of ResNet, you notice the hardcoding
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Erik authored Jan 13, 2020
commit 60555f6b27c8396fb92b50c10902347fb0addcc1
2 changes: 1 addition & 1 deletion lib/model/faster_rcnn/resnet.py
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Expand Up @@ -106,7 +106,7 @@ class ResNet(nn.Module):
def __init__(self, block, layers, num_classes=1000):
self.inplanes = 64
super(ResNet, self).__init__()
self.conv1 = nn.Conv2d(3, 64, kernel_size=7, stride=2, padding=3,
self.conv1 = nn.Conv2d(3, self.inplanes, kernel_size=7, stride=2, padding=3,
bias=False)
self.bn1 = nn.BatchNorm2d(64)
self.relu = nn.ReLU(inplace=True)
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