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Refacto UNet

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This commit is contained in:
henryruhs
2025-03-11 14:43:09 +01:00
parent 29e82f909a
commit 1872f99584
3 changed files with 89 additions and 71 deletions
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face_swapper/src/models/generator.py
+4 -4
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@@ -4,7 +4,7 @@ from typing import Tuple
from torch import nn
from face_swapper.src.networks.attribute_modulator import AADGenerator
from face_swapper.src.networks.encoder import UNet
from face_swapper.src.networks.unet import UNet
from face_swapper.src.types import Embedding, TargetAttributes, VisionTensor
CONFIG = configparser.ConfigParser()
@@ -17,9 +17,9 @@ class AdaptiveEmbeddingIntegrationNetwork(nn.Module):
id_channels = CONFIG.getint('training.model.generator', 'id_channels')
num_blocks = CONFIG.getint('training.model.generator', 'num_blocks')
self.encoder = UNet()
self.unet = UNet()
self.generator = AADGenerator(id_channels, num_blocks)
self.encoder.apply(init_weight)
self.unet.apply(init_weight)
self.generator.apply(init_weight)
def forward(self, target : VisionTensor, source_embedding : Embedding) -> Tuple[VisionTensor, TargetAttributes]:
@@ -28,7 +28,7 @@ class AdaptiveEmbeddingIntegrationNetwork(nn.Module):
return swap_tensor, target_attributes
def get_attributes(self, target : VisionTensor) -> TargetAttributes:
return self.encoder(target)
return self.unet(target)
def init_weight(module : nn.Module) -> None: