| 113 | class autoencoder_vgg3(nn.Module): # psnr: 37.77 |
| 114 | ''' vgg encoder ''' |
| 115 | def __init__(self): |
| 116 | super(autoencoder_vgg3, self).__init__() |
| 117 | self.encoder = models.vgg19(pretrained=True).features |
| 118 | # receptive field not equal? so maybe it does not work very well |
| 119 | self.decoder = nn.Sequential( |
| 120 | nn.ConvTranspose2d(512, 512, 2, stride=2), # (b, 512, 14, 14) |
| 121 | nn.ReLU(True), |
| 122 | nn.ConvTranspose2d(512, 256, 4, stride=4), # (b, 256, 56, 56) |
| 123 | nn.ReLU(True), |
| 124 | nn.ConvTranspose2d(256, 64, 4, stride=4), # (b, 64, 224, 224) |
| 125 | nn.ReLU(True), |
| 126 | nn.Conv2d(64, 3, 3, stride=1, padding=1), |
| 127 | nn.Tanh() # MSELoss |
| 128 | # nn.Sigmoid() # BCELoss |
| 129 | ) |
| 130 | |
| 131 | def forward(self, x): |
| 132 | feat = [] |