CalvinBackup/disrupting-deepfakes
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This commit is contained in:
Nataniel Ruiz
2019-12-31 21:00:15 -04:00
parent 7738873c19
commit 05a2939296
1 changed files with 6 additions and 5 deletions
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ganimation/solver.py
+6 -5
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@@ -409,10 +409,10 @@ class Solver(Utils):
all_images = torch.cat([regular_image_transform(Image.open(path)).unsqueeze(0) for path in images_to_animate_path], dim=0).cuda()
if idx == 0:
for target_idx in range(targets.size(0)):
x_adv, perturb = pgd_attack.perturb(image_to_animate, black, targets[target_idx, :].unsqueeze(0).cuda())
x_advs.append((x_adv, perturb))
# if idx == 0:
# for target_idx in range(targets.size(0)):
# x_adv, perturb = pgd_attack.perturb(image_to_animate, black, targets[target_idx, :].unsqueeze(0).cuda())
# x_advs.append((x_adv, perturb))
for target_idx in range(targets.size(0)):
# if target_idx == 0:
@@ -424,7 +424,8 @@ class Solver(Utils):
targets_au = targets[target_idx, :].unsqueeze(0).cuda()
# x_adv, perturb = pgd_attack.perturb(image_to_animate, black, targets_au)
x_adv, perturb = x_advs[target_idx]
x_adv = image_to_animate + perturb
# x_adv = image_to_animate + perturb
x_adv = image_to_animate
# print(image_to_animate.shape, x_adv.shape)
with torch.no_grad():
resulting_images_att, resulting_images_reg = self.G(