| 5 | from models import BaseModel |
| 6 | |
| 7 | class Generator(BaseModel): |
| 8 | def __init__(self, size, style_dim=512, motion_dim=20, channel_multiplier=1, blur_kernel=[1, 3, 3, 1]): |
| 9 | super().__init__() |
| 10 | |
| 11 | self.enc = Encoder(size, style_dim, motion_dim) |
| 12 | self.dec = Synthesis(size, style_dim, motion_dim, blur_kernel, channel_multiplier) |
| 13 | |
| 14 | def get_direction(self): |
| 15 | return self.dec.direction(None) |
| 16 | |
| 17 | def synthesis(self, wa, alpha, feat): |
| 18 | img, flow = self.dec(wa, alpha, feat) |
| 19 | return img |
| 20 | |
| 21 | def forward(self, img_source, img_drive, h_start=None): |
| 22 | wa, alpha, feats = self.enc(img_source, img_drive, h_start) |
| 23 | img_recon, flow = self.dec(wa, alpha, feats) |
| 24 | return {'d_hat': img_recon, 'flow': flow} |
| 25 | |