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31 lines
818 B
Python
31 lines
818 B
Python
import torch
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from torch import nn
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from .vgg import VGG
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import os
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from configs.paths_config import model_paths
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class VggLoss(nn.Module):
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def __init__(self):
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super(VggLoss, self).__init__()
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print("Loading VGG19 model from path: {}".format(model_paths["vgg"]))
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self.vgg_model = VGG()
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self.vgg_model.load_state_dict(torch.load(model_paths['vgg']))
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self.vgg_model.cuda()
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self.vgg_model.eval()
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self.l1loss = torch.nn.L1Loss()
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def forward(self, input_photo, output):
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vgg_photo = self.vgg_model(input_photo)
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vgg_output = self.vgg_model(output)
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n, c, h, w = vgg_photo.shape
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# h, w, c = vgg_photo.get_shape().as_list()[1:]
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loss = self.l1loss(vgg_photo, vgg_output)
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return loss
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