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Variable AAD layer according to output size

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henryruhs
2025-03-11 14:43:10 +01:00
parent 430c71d031
commit 5056b8df75
6 changed files with 77 additions and 43 deletions
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face_swapper/src/models/generator.py
+2 -1
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@@ -16,13 +16,14 @@ class Generator(nn.Module):
encoder_type = CONFIG.get('training.model.generator', 'encoder_type')
identity_channels = CONFIG.getint('training.model.generator', 'identity_channels')
output_channels = CONFIG.getint('training.model.generator', 'output_channels')
output_size = CONFIG.getint('training.model.generator', 'output_size')
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 = AAD(identity_channels, output_channels, num_blocks)
self.generator = AAD(identity_channels, output_channels, output_size, num_blocks)
self.encoder.apply(init_weight)
self.generator.apply(init_weight)