import torch.nn as nn

from torchvision import models

class ResnetModel(nn.Module):

    def __init__(self, classes):

        """

        Arguments

        ---------

        classes: número de clases (tipos de hemorragias)

        """

        super(ResnetModel, self).__init__()

        self.backbone = models.resnet50(pretrained=False)

        n_filters = self.backbone.fc.in_features

        self.backbone.fc = nn.Linear(n_filters, classes)

    def forward(self, x):

        x = self.backbone(x)

        return x