Created
May 2, 2020 14:50
-
-
Save miki998/c7f187aa9bd92366ede2c93b8678726a to your computer and use it in GitHub Desktop.
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
class Neek(nn.Module): | |
def __init__(self): | |
super().__init__() | |
self.conv1 = Conv_Bn_Activation(1024, 512, 1, 1, 'leaky') | |
self.conv2 = Conv_Bn_Activation(512, 1024, 3, 1, 'leaky') | |
self.conv3 = Conv_Bn_Activation(1024, 512, 1, 1, 'leaky') | |
# SPP | |
self.maxpool1 = MaxPoolStride1(5) | |
self.maxpool2 = MaxPoolStride1(9) | |
self.maxpool3 = MaxPoolStride1(13) | |
# R -1 -3 -5 -6 | |
# SPP | |
self.conv4 = Conv_Bn_Activation(512, 512, 1, 1, 'leaky') | |
self.conv5 = Conv_Bn_Activation(512, 1024, 3, 1, 'leaky') | |
self.conv6 = Conv_Bn_Activation(1024, 512, 1, 1, 'leaky') | |
self.conv7 = Conv_Bn_Activation(512, 256, 1, 1, 'leaky') | |
# UP | |
self.upsample1 = Upsample() | |
# R 85 | |
self.conv8 = Conv_Bn_Activation(512, 256, 1, 1, 'leaky') | |
# R -1 -3 | |
self.conv9 = Conv_Bn_Activation(256, 256, 1, 1, 'leaky') | |
self.conv10 = Conv_Bn_Activation(256, 512, 3, 1, 'leaky') | |
self.conv11 = Conv_Bn_Activation(512, 256, 1, 1, 'leaky') | |
self.conv12 = Conv_Bn_Activation(256, 512, 3, 1, 'leaky') | |
self.conv13 = Conv_Bn_Activation(512, 256, 1, 1, 'leaky') | |
self.conv14 = Conv_Bn_Activation(256, 128, 1, 1, 'leaky') | |
# UP | |
self.upsample2 = Upsample() | |
# R 54 | |
self.conv15 = Conv_Bn_Activation(256, 128, 1, 1, 'leaky') | |
# R -1 -3 | |
self.conv16 = Conv_Bn_Activation(128, 128, 1, 1, 'leaky') | |
self.conv17 = Conv_Bn_Activation(128, 256, 3, 1, 'leaky') | |
self.conv18 = Conv_Bn_Activation(256, 128, 1, 1, 'leaky') | |
self.conv19 = Conv_Bn_Activation(128, 256, 3, 1, 'leaky') | |
self.conv20 = Conv_Bn_Activation(256, 128, 1, 1, 'leaky') | |
def forward(self, input, downsample4, downsample3): | |
x1 = self.conv1(input) | |
x2 = self.conv2(x1) | |
x3 = self.conv3(x2) | |
# SPP | |
m1 = self.maxpool1(x3) | |
m2 = self.maxpool2(x3) | |
m3 = self.maxpool3(x3) | |
spp = m1 + m2 + m3 + x3 | |
# SPP end | |
x4 = self.conv4(spp) | |
x5 = self.conv5(x4) | |
x6 = self.conv6(x5) | |
x7 = self.conv7(x6) | |
# UP | |
up = self.upsample1(x7) | |
# R 85 | |
x8 = self.conv8(downsample4) | |
# R -1 -3 | |
x8 = x8 + up | |
x9 = self.conv9(x8) | |
x10 = self.conv10(x9) | |
x11 = self.conv11(x10) | |
x12 = self.conv12(x11) | |
x13 = self.conv13(x12) | |
x14 = self.conv14(x13) | |
# UP | |
up = self.upsample2(x14) | |
# R 54 | |
x15 = self.conv15(downsample3) | |
# R -1 -3 | |
x15 = x15 + up | |
x16 = self.conv16(x15) | |
x17 = self.conv17(x16) | |
x18 = self.conv18(x17) | |
x19 = self.conv19(x18) | |
x20 = self.conv20(x19) | |
return x20, x13, x6 |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment