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unet.py
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unet.py
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""" Full assembly of the parts to form the complete network """
import os,sys,inspect
sys.path.insert(1, os.path.join(sys.path[0], '../../../'))
import torch.nn.functional as F
from core.models.trunks.unet_parts import *
import torch.nn as nn
import pdb
class UNet(nn.Module):
def __init__(self, n_channels_in, n_channels_out, bilinear=True):
super(UNet, self).__init__()
self.n_channels_in = n_channels_in
self.n_channels_middle = 32
self.n_channels_out = n_channels_out
self.bilinear = bilinear
factor = 2 if bilinear else 1
# path 1
self.inc = DoubleConv(n_channels_in, 64)
self.down1 = Down(64, 128)
self.down2 = Down(128, 256)
self.down3 = Down(256, 512)
self.down4 = Down(512, 1024 // factor)
# joined path
self.up1 = Up(1024, 512 // factor, bilinear)
self.up2 = Up(512, 256 // factor, bilinear)
self.up3 = Up(256, 128 // factor, bilinear)
self.up4 = Up(128, 64, bilinear)
self.out = OutConv(64, self.n_channels_middle)
def forward(self, x):
x1 = self.inc(x)
x2 = self.down1(x1)
x3 = self.down2(x2)
x4 = self.down3(x3)
x5 = self.down4(x4)
x = self.up1(x5, x4)
x = self.up2(x, x3)
x = self.up3(x, x2)
x = self.up4(x, x1)
x = self.out(x)
return x