This commit is contained in:
Nataniel Ruiz
2019-12-31 21:05:46 -04:00
parent 050a2ee56c
commit 5dcfd711f3
+6 -7
View File
@@ -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:
@@ -423,9 +423,8 @@ 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
x_adv, perturb = x_advs[target_idx]
x_adv = image_to_animate + perturb
# print(image_to_animate.shape, x_adv.shape)
with torch.no_grad():
resulting_images_att, resulting_images_reg = self.G(