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constructor injection

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harisreedhar
2025-02-27 19:17:11 +05:30
committed by henryruhs
parent a5eb7d6aa1
commit ea1b0205f0
3 changed files with 15 additions and 10 deletions
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face_swapper/src/models/loss.py
+5 -7
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@@ -6,7 +6,7 @@ from pytorch_msssim import ssim
from torch import Tensor, nn
from ..helper import calc_embedding
from ..types import Attributes, EmbedderModule, FaceLandmark203
from ..types import Attributes, EmbedderModule, FaceLandmark203, LandmarkerModule, MotionExtractorModule
CONFIG = configparser.ConfigParser()
CONFIG.read('config.ini')
@@ -104,10 +104,9 @@ class IdentityLoss(nn.Module):
class PoseLoss(nn.Module):
def __init__(self) -> None:
def __init__(self, motion_extractor : MotionExtractorModule) -> None:
super().__init__()
motion_extractor_path = CONFIG.get('training.model', 'motion_extractor_path')
self.motion_extractor = torch.jit.load(motion_extractor_path, map_location = 'cpu') # type:ignore[no-untyped-call]
self.motion_extractor = motion_extractor
self.mse_loss = nn.MSELoss()
def forward(self, target_tensor : Tensor, output_tensor : Tensor, ) -> Tuple[Tensor, Tensor]:
@@ -132,10 +131,9 @@ class PoseLoss(nn.Module):
class GazeLoss(nn.Module):
def __init__(self) -> None:
def __init__(self, landmarker : LandmarkerModule) -> None:
super().__init__()
landmarker_path = CONFIG.get('training.model', 'landmarker_path')
self.landmarker = torch.jit.load(landmarker_path, map_location = 'cpu') # type:ignore[no-untyped-call]
self.landmarker = landmarker
self.mse_loss = nn.MSELoss()
def forward(self, target_tensor : Tensor, output_tensor : Tensor, ) -> Tuple[Tensor, Tensor]: