File size: 610 Bytes
3e9c053 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 | import torch
import torch.nn as nn
import torchvision.models as models
class ImageForgeryDetector(nn.Module):
def __init__(self, num_classes=2, pretrained=True):
super(ImageForgeryDetector, self).__init__()
self.backbone = models.resnet50(pretrained=pretrained)
num_ftrs = self.backbone.fc.in_features
self.backbone.fc = nn.Sequential(
nn.Dropout(0.5),
nn.Linear(num_ftrs, 512),
nn.ReLU(),
nn.Dropout(0.3),
nn.Linear(512, num_classes)
)
def forward(self, x):
return self.backbone(x)
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