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harisreedhar
2025-03-11 14:43:09 +01:00
committed by henryruhs
parent db44c91dd8
commit 4d8433f54a
3 changed files with 8 additions and 8 deletions
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face_swapper/src/models/loss.py
+4 -3
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@@ -95,14 +95,15 @@ class FaceSwapperLoss:
return loss_attribute
def calc_reconstruction_loss(self, source_tensor : VisionTensor, target_tensor : VisionTensor, swap_tensor : VisionTensor) -> LossTensor:
source_embedding = calc_id_embedding(self.id_embedder, source_tensor, (0, 0, 0, 0))
target_embedding = calc_id_embedding(self.id_embedder, target_tensor, (0, 0, 0, 0))
with torch.no_grad():
source_embedding = calc_id_embedding(self.id_embedder, source_tensor, (0, 0, 0, 0))
target_embedding = calc_id_embedding(self.id_embedder, target_tensor, (0, 0, 0, 0))
face_similarities = (torch.cosine_similarity(source_embedding, target_embedding) + 1) * 0.5
loss_reconstructions = []
for index, face_similarity in enumerate(face_similarities):
if face_similarity.item() > 0.9:
loss_mse = self.mse_loss(swap_tensor[index], target_tensor[index])
loss_mse = self.mse_loss(swap_tensor[index].unsqueeze(0), target_tensor[index].unsqueeze(0))
loss_ssim = calc_structural_similarity(swap_tensor[index].unsqueeze(0), target_tensor[index].unsqueeze(0))
loss_reconstruction = (loss_mse + loss_ssim) * 0.5
loss_reconstructions.append(loss_reconstruction)