aicomp_demo / src /models /mobilenetv3.py
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import torch
import torch.nn as nn
from torchvision.models import mobilenet_v3_small
class MobileNetV3SmallClassifier(nn.Module):
def __init__(self, num_classes=5, pretrained=True):
super().__init__()
self.backbone = mobilenet_v3_small(pretrained=pretrained)
in_features = self.backbone.classifier[3].in_features
self.backbone.classifier[3] = nn.Linear(in_features, num_classes)
def forward(self, x):
return self.backbone(x)