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[WIP] Enable handling of N input channels #61

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[WIP] Enable handling of N input channels #61

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6 changes: 3 additions & 3 deletions models/enet.py
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Original file line number Diff line number Diff line change
Expand Up @@ -43,7 +43,7 @@ def __init__(self,
# the extension branch
self.main_branch = nn.Conv2d(
in_channels,
out_channels - 3,
out_channels - in_channels,
kernel_size=3,
stride=2,
padding=1,
Expand Down Expand Up @@ -478,10 +478,10 @@ class ENet(nn.Module):

"""

def __init__(self, num_classes, encoder_relu=False, decoder_relu=True):
def __init__(self, in_channels, num_classes, encoder_relu=False, decoder_relu=True):
super().__init__()

self.initial_block = InitialBlock(3, 16, relu=encoder_relu)
self.initial_block = InitialBlock(in_channels, 16, relu=encoder_relu)

# Stage 1 - Encoder
self.downsample1_0 = DownsamplingBottleneck(
Expand Down