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Move output channels to config

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This commit is contained in:
henryruhs
2025-03-11 14:43:10 +01:00
parent 335d597e53
commit ee3fc40e83
4 changed files with 14 additions and 11 deletions
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face_swapper/src/models/generator.py
+4 -3
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@@ -2,7 +2,7 @@ import configparser
from torch import Tensor, nn
from ..networks.attribute_modulator import AADGenerator
from ..networks.aienet import AADGenerator
from ..networks.unet import UNet, UNetPro
from ..types import Attributes, Embedding
@@ -14,14 +14,15 @@ class Generator(nn.Module):
def __init__(self) -> None:
super().__init__()
encoder_type = CONFIG.get('training.model.generator', 'encoder_type')
num_blocks = CONFIG.getint('training.model.generator', 'num_blocks')
identity_channels = CONFIG.getint('training.model.generator', 'identity_channels')
output_channels = CONFIG.getint('training.model.generator', 'output_channels')
num_blocks = CONFIG.getint('training.model.generator', 'num_blocks')
if encoder_type == 'unet':
self.encoder = UNet()
if encoder_type == 'unet-pro':
self.encoder = UNetPro()
self.generator = AADGenerator(identity_channels, num_blocks)
self.generator = AADGenerator(identity_channels, output_channels, num_blocks)
self.encoder.apply(init_weight)
self.generator.apply(init_weight)