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Update app.py
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app.py
CHANGED
@@ -101,8 +101,9 @@ def gen_sources(deepfake_img):
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rec_z_img2 = model_z2(z_seg)
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rec_img1 = model_vaq_f.decode(rec_z_img1).squeeze(0)
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rec_img2 = model_vaq_g.decode(rec_z_img2).squeeze(0)
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rec_img1_pil = T.ToPILImage()(rec_img1)
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rec_img2_pil = T.ToPILImage()(rec_img2)
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# Save PIL images to temporary files
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with tempfile.NamedTemporaryFile(suffix=".png", delete=False) as temp1, \
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@@ -129,7 +130,7 @@ def gen_sources(deepfake_img):
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dfimage_pil = Image.open(result)
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with tempfile.NamedTemporaryFile(suffix=".png", delete=False) as temp3:
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dfimage_pil.save(temp3, format="PNG")
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rec_df = transform(Image.open(temp3.name)).unsqueeze(0).to(device)
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os.remove(temp3.name)
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rec_loss, _ = criterion(df_img, rec_df)
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rec_z_img2 = model_z2(z_seg)
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rec_img1 = model_vaq_f.decode(rec_z_img1).squeeze(0)
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rec_img2 = model_vaq_g.decode(rec_z_img2).squeeze(0)
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rec_img1_pil = T.ToPILImage()(denormalize_bin(rec_img1))
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rec_img2_pil = T.ToPILImage()(denormalize_bin(rec_img2))
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# Save PIL images to temporary files
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with tempfile.NamedTemporaryFile(suffix=".png", delete=False) as temp1, \
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dfimage_pil = Image.open(result)
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with tempfile.NamedTemporaryFile(suffix=".png", delete=False) as temp3:
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dfimage_pil.save(temp3, format="PNG")
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rec_df = denormalize_bin(transform(Image.open(temp3.name))).unsqueeze(0).to(device)
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os.remove(temp3.name)
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rec_loss, _ = criterion(df_img, rec_df)
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