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discriminator.py
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discriminator.py
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import torch.nn as nn
class FCDiscriminator(nn.Module):
def __init__(self, num_classes, ndf=64):
super(FCDiscriminator, self).__init__()
self.conv1 = nn.Conv2d(num_classes, ndf, kernel_size=4, stride=2, padding=1)
self.conv2 = nn.Conv2d(ndf, ndf * 2, kernel_size=4, stride=2, padding=1)
self.conv3 = nn.Conv2d(ndf * 2, ndf * 4, kernel_size=4, stride=2, padding=1)
self.conv4 = nn.Conv2d(ndf * 4, ndf * 8, kernel_size=4, stride=2, padding=1)
self.classifier = nn.Conv2d(ndf * 8, 1, kernel_size=4, stride=2, padding=1)
self.leaky_relu = nn.LeakyReLU(negative_slope=0.2, inplace=True)
def forward(self, x):
x = self.conv1(x)
x = self.leaky_relu(x)
x = self.conv2(x)
x = self.leaky_relu(x)
x = self.conv3(x)
x = self.leaky_relu(x)
x = self.conv4(x)
x = self.leaky_relu(x)
x = self.classifier(x)
return x
class Lightweight_FCDiscriminator(nn.Module):
def __init__(self, num_classes, ndf=64):
super(Lightweight_FCDiscriminator, self).__init__()
self.depth_conv1 = nn.Conv2d(num_classes, num_classes, kernel_size=4, stride=2, padding=1, groups=num_classes)
self.point_conv1 = nn.Conv2d(num_classes, ndf, kernel_size=1)
self.depth_conv2 = nn.Conv2d(ndf, ndf, kernel_size=4, stride=2, padding=1, groups=ndf)
self.point_conv2 = nn.Conv2d(ndf, ndf * 2, kernel_size=1)
self.depth_conv3 = nn.Conv2d(ndf * 2, ndf * 2, kernel_size=4, stride=2, padding=1, groups=ndf * 2)
self.point_conv3 = nn.Conv2d(ndf * 2, ndf * 4, kernel_size=1)
self.depth_conv4 = nn.Conv2d(ndf * 4, ndf * 4, kernel_size=4, stride=2, padding=1, groups=ndf * 4)
self.point_conv4 = nn.Conv2d(ndf * 4, ndf * 8, kernel_size=1)
self.depth_classifier = nn.Conv2d(ndf * 8, ndf * 8, kernel_size=4, stride=2, padding=1, groups=ndf * 8)
self.point_classifier = nn.Conv2d(ndf * 8, 1, kernel_size=1)
self.leaky_relu = nn.LeakyReLU(negative_slope=0.2, inplace=True)
def forward(self, x):
x = self.depth_conv1(x)
x = self.point_conv1(x)
x = self.leaky_relu(x)
x = self.depth_conv2(x)
x = self.point_conv2(x)
x = self.leaky_relu(x)
x = self.depth_conv3(x)
x = self.point_conv3(x)
x = self.leaky_relu(x)
x = self.depth_conv4(x)
x = self.point_conv4(x)
x = self.leaky_relu(x)
x = self.depth_classifier(x)
x = self.point_classifier(x)
return x