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change face-parser to face-masker

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harisreedhar
2025-03-23 18:18:10 +05:30
parent 583d09e666
commit c1f39a73dd
5 changed files with 10 additions and 10 deletions
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face_swapper/src/models/loss.py
+4 -4
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@@ -7,7 +7,7 @@ from torch import Tensor, nn
from torchvision import transforms
from ..helper import calc_embedding
from ..types import EmbedderModule, FaceParserModule, Feature, GazerModule, Loss, Mask, MotionExtractorModule
from ..types import EmbedderModule, FaceMaskerModule, Feature, GazerModule, Loss, Mask, MotionExtractorModule
class DiscriminatorLoss(nn.Module):
@@ -180,11 +180,11 @@ class GazeLoss(nn.Module):
class MaskLoss(nn.Module):
def __init__(self, config_parser : ConfigParser, face_parser : FaceParserModule) -> None:
def __init__(self, config_parser : ConfigParser, face_masker : FaceMaskerModule) -> None:
super().__init__()
self.config_mask_weight = config_parser.getfloat('training.losses', 'mask_weight')
self.config_output_size = config_parser.getint('training.model.generator', 'output_size')
self.face_parser = face_parser
self.face_masker = face_masker
self.mse_loss = nn.MSELoss()
def forward(self, target_tensor : Tensor, output_mask : Mask) -> Tuple[Loss, Loss]:
@@ -200,7 +200,7 @@ class MaskLoss(nn.Module):
target_tensor = (target_tensor.clip(-1, 1) + 1) * 0.5
with torch.no_grad():
output_tensor = self.face_parser(target_tensor)
output_tensor = self.face_masker(target_tensor)
output_tensor = output_tensor.clamp(0, 1)
output_tensor = torch.nn.functional.interpolate(output_tensor, (self.config_output_size, self.config_output_size), mode = 'bilinear')